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1

Pedro Bay Village Council (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Pedro Bay Village Council (Utility Company) Pedro Bay Village Council (Utility Company) Jump to: navigation, search Name Pedro Bay Village Council Place Alaska Utility Id 14633 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Generation Yes Activity Transmission Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Residential School Commercial Average Rates Residential: $0.9080/kWh Commercial: $0.8510/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=Pedro_Bay_Village_Council_(Utility_Company)&oldid=411345

2

Emission Changes Resulting from the San Pedro Bay, California Ports Truck Retirement Program  

SciTech Connect

Recent U.S. Environmental Protection Agency emissions regulations have resulted in lower emissions of particulate matter and oxides of nitrogen from heavy-duty diesel trucks. To accelerate fleet turnover the State of California in 2008 along with the Ports of Los Angeles and Long Beach (San Pedro Bay Ports) in 2006 passed regulations establishing timelines forcing the retirement of older diesel trucks. On-road emissions measurements of heavy-duty diesel trucks were collected over a three-year period, beginning in 2008, at a Port of Los Angeles location and an inland weigh station on the Riverside freeway (CA SR91). At the Port location the mean fleet age decreased from 12.7 years in April of 2008 to 2.5 years in May of 2010 with significant reductions in carbon monoxide (30%), oxides of nitrogen (48%) and infrared opacity (a measure of particulate matter, 54%). We also observed a 20-fold increase in ammonia emissions as a result of new, stoichiometrically combusted, liquefied natural gas powered trucks. These results compare with changes at our inland site where the average ages were 7.9 years in April of 2008 and 8.3 years in April of 2010, with only small reductions in oxides of nitrogen (10%) being statistically significant. Both locations have experienced significant increases in nitrogen dioxide emissions from new trucks equipped with diesel particle filters; raising the mean nitrogen dioxide to oxides of nitrogen ratios from less than 10% to more than 30% at the Riverside freeway location.

Bishop, G. A.; Schuchmann, B. G.; Stedman, D. H.; Lawson, D. R.

2012-01-03T23:59:59.000Z

3

The Davis Botanical Society Presents San Pedro Valley Park  

E-Print Network (OSTI)

The Davis Botanical Society Presents San Pedro Valley Park Saturday, February 22, 2014, 8 am to 6 and Half Moon Bay. San Pedro Valley Park comprises 1,150 acres located on San Pedro Mountain above Pacifica fee of $6.00 per car, and bridge tolls of $5.00 on the Bay Bridge going west and on the Carquinez

California at Davis, University of

4

Facies Trends, San Pedro Bay, California  

Science Journals Connector (OSTI)

...developed the early phase of the mainland...assisted in various phases of the laboratory...assistance and typing the manuscript...average annual precipitation of between 25...occurs during the winter half-year. Aver- age winter temperatures...

5

PC Electronic Data Reporting Option (PEDRO) System  

NLE Websites -- All DOE Office Websites (Extended Search)

System Released: February 22, 2011 Download Pedro Application Patch Archive Background The PC Electronic Data Reporting Option, or PEDRO, system enables users to enter Energy...

6

Sao Pedro Energia S A | Open Energy Information  

Open Energy Info (EERE)

navigation, search Name: Sao Pedro Energia S.A. Place: Brazil Sector: Hydro Product: Brasil PCH's special purpose vehicle for Sao Pedro Small Hydro Plant. References: Sao Pedro...

7

Pedro Communications Patch for All Versions  

U.S. Energy Information Administration (EIA) Indexed Site

Pedro Communications Patch for All Versions Pedro Communications Patch for All Versions Released: March 2007 NOTICE TO NEW PEDRO 6.2 USERS The following process corrects the following error: Application Terminated. Error accessing external object property hostname… This error is due to some Pedro 6.2 Installation CD's that are missing a required Pedro 6.2 ActiveX component. This component allows for the connection and transfer of your Pedro 6.2 entered survey data to the EIA anonymous ftp server. Please follow the instructions below to correct this issue: Close Pedro\Pedro Communications if either one is currently running on your PC. Click on the following link EXE. Click the Save button to save the self-extracting zip file csftp32.exe to your Desktop or temporary directory. When the Download Complete dialog box pops up, click Run to install the patch.

8

A Groundwater Dynamic Simulation Model: Application to the Upper San Pedro Basin  

E-Print Network (OSTI)

A Groundwater Dynamic Simulation Model: Application to the Upper San Pedro Basin Report Prepared by using tools such as tracers to determine groundwater travel times and this dynamic simulation modeling

Fay, Noah

9

CX-000104: Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

Pedro Bay Native Village Technical Consulting Services for Mini Hydropower Feasibility StudyCX(s) Applied: A9, A11Date: 12/04/2009Location(s): AlaskaOffice(s): Energy Efficiency and Renewable Energy

10

Conducting International Business at eBay: The Determinants of Success of e-Stores  

Science Journals Connector (OSTI)

Many small businesses have started to use eBay as their electronic commerce platform. Such a strategy increases their reach to global customers without high financial and technical costs in building their own e-commerce infrastructure or in intense advertising. ... Keywords: culture, electronic commerce, feedback rating, international business, trust

Paul Komiak; Sherrie Y. X. Komiak; Michael Imhof

2008-05-01T23:59:59.000Z

11

PC Electronic Data Reporting Option (PEDRO) System - Patch Archive  

U.S. Energy Information Administration (EIA) Indexed Site

System - Patch Archive System - Patch Archive PEDRO Patches: Occasionally, updates to the PEDRO software are required that are not significant enough to justify a complete recreation and mailout of the software for every user. Instead, a "patch" is developed. A patch is a bundled file (or files) that are sent out to PEDRO users to update the system without completely replacing or reinstalling PEDRO. Pedro Communications Patch for All Versions - March 2007 The following process corrects the following error: Application Terminated. Error accessing external object property hostname... This error is due to some Pedro 6.2 Installation CD's that are missing a required Pedro 6.2 ActiveX component. This component allows for the connection and transfer of your Pedro 6.2 entered survey data to the EIA anonymous ftp server

12

Microsoft Word - PEDRO_Users_Guide_Feb_2011.doc  

U.S. Energy Information Administration (EIA) Indexed Site

PC Electronic Data Reporting Option PC Electronic Data Reporting Option (PEDRO) System User's Guide Version 6.7 Energy Information Administration U.S. Department of Energy Washington, D.C. 20585 February 2011 i PC Electronic Data Reporting Option (PEDRO) System User's Guide PC Electronic Data Reporting Option (PEDRO) System User's Guide Table of Contents 1. Introduction....................................................................................................................................1 Overview .......................................................................................................................................1 The PEDRO System .....................................................................................................................1

13

Categorical Exclusion Determinations: Alaska | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 10, 2009 December 10, 2009 CX-000125: Categorical Exclusion Determination Native Village of Chitina Renewable Energy Technology - Solar Array for Community Hall CX(s) Applied: B3.6, B5.1, B4.12 Date: 12/10/2009 Location(s): Chitina, Alaska Office(s): Energy Efficiency and Renewable Energy December 7, 2009 CX-000111: Categorical Exclusion Determination Koniag Incorporated Renewable Energy Technologies - Solar CX(s) Applied: B3.6, B5.1 Date: 12/07/2009 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy December 4, 2009 CX-000104: Categorical Exclusion Determination Pedro Bay Native Village Technical Consulting Services for Mini Hydropower Feasibility Study CX(s) Applied: A9, A11 Date: 12/04/2009 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy

14

3D Rigid Structure from Video: What Are "Easy" Shapes and "Good" Motions ? Pedro M. Q. Aguiar  

E-Print Network (OSTI)

3D Rigid Structure from Video: What Are "Easy" Shapes and "Good" Motions ? Pedro M. Q. Aguiar--Factorization algorithms are increasingly popular to recover 3D rigid structure from video. In this paper, we analyze the rank 1 factorization algorithm to determine what are the most suitable 3D shapes or the best 3D motions

Aguiar, Pedro M. Q.

15

Tackling Information Overload in Electronic Brainstorming Antonio Ferreira, Pedro Antunes  

E-Print Network (OSTI)

1 Tackling Information Overload in Electronic Brainstorming Antonio Ferreira, Pedro Antunes Electronic brainstorming allows users to generate ideas in parallel to mitigate production blocking, but]. Technology, namely electronic brainstorm- ing, has addressed some of these loss factors by allowing users

Antunes, Pedro

16

Developing Collaboration Awareness Support from a Cognitive Perspective Pedro Antunes  

E-Print Network (OSTI)

Developing Collaboration Awareness Support from a Cognitive Perspective Pedro Antunes University discusses collaboration awareness from a cognitive perspective. Several models of the cognitive process are reviewed to distill awareness drivers that, when regarded in the collaboration context, set up

Antunes, Pedro

17

Categorical Exclusion Determinations: A11 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 4, 2009 December 4, 2009 CX-000104: Categorical Exclusion Determination Pedro Bay Native Village Technical Consulting Services for Mini Hydropower Feasibility Study CX(s) Applied: A9, A11 Date: 12/04/2009 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy December 3, 2009 CX-000232: Categorical Exclusion Determination California City Long Beach CX(s) Applied: A11, B5.1 Date: 12/03/2009 Location(s): Long Beach, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office December 2, 2009 CX-001291: Categorical Exclusion Determination Training Programs, Energy Audit, and Energy Efficient Lighting Upgrades CX(s) Applied: A9, A11, B5.1 Date: 12/02/2009 Location(s): Cheyenne, Wyoming Office(s): Energy Efficiency and Renewable Energy December 2, 2009

18

Daya Bay Reactor Neutrino Project at NERSC  

NLE Websites -- All DOE Office Websites (Extended Search)

Daya Bay Reactor Neutrino Daya Bay Reactor Neutrino Experiment Daya Bay Reactor Neutrino Experiment Daya Bay is an international neutrino-oscillation experiment designed to determine the last unknown neutrino mixing angle θ13 using anti-neutrinos produced by the Daya Bay and Ling Ao Nuclear Power Plant reactors. The experiment is being built by blasting three kilometers of tunnel through the granite rock under the mountains where the power plants are located. Data collection is now scheduled to start in in 2011. On the PDSF cluster at NERSC, Daya Bay performs simulations of the detectors, reactors, and surrounding mountains to help design and anticipate detector properties and behavior. Once real data are available, Daya Bay will be using NERSC to analyze data and NERSC HPSS will be the central U.S. repository for all raw

19

ORIGINAL ARTICLE Pilar Castro-Diez ? Pedro Villar-Salvador  

E-Print Network (OSTI)

ORIGINAL ARTICLE Pilar Castro-Di´ez ? Pedro Villar-Salvador Carmen Pe´rez-Rontome´ ? Melchor. Villar-Salvador1 ? C. Pe´rez-Rontome´ M. Maestro-Marti´nez ? G. Montserrat-Marti´ Departamento de Ecologi

Villar-Salvador, Pedro

20

Sequence Complexity of Disordered Protein Pedro Romero,1#  

E-Print Network (OSTI)

Sequence Complexity of Disordered Protein Pedro Romero,1# Zoran Obradovic,1¥ Xiaohong Li,1 Ethan C University, Pullman, Washington ABSTRACT Intrinsic disorder refers to seg- ments or to whole proteins proteins, these variously characterized intrinsically disordered seg- ments and proteins, and also

Obradovic, Zoran

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

APPLICATION OF MICROECONOMIC METRICS IN COMPETITIVE ELECTRICITY Pedro Correia and George Gross  

E-Print Network (OSTI)

APPLICATION OF MICROECONOMIC METRICS IN COMPETITIVE ELECTRICITY MARKETS Pedro Correia and George Gross Department of Electrical and Computer Engineering University of Illinois at Urbana

Gross, George

22

digital circuit patch bay  

Science Journals Connector (OSTI)

A patch bay in which low-level digital data circuits may be patched, monitored, and tested. Note: The digital circuit patch bay may be either (a) a...See also circuit ...

2001-01-01T23:59:59.000Z

23

Bay Area | Open Energy Information  

Open Energy Info (EERE)

Bay Area Bay Area Jump to: navigation, search Contents 1 Clean Energy Clusters in the Bay Area 1.1 Products and Services in the Bay Area 1.2 Research and Development Institutions in the Bay Area 1.3 Networking Organizations in the Bay Area 1.4 Investors and Financial Organizations in the Bay Area 1.5 Policy Organizations in the Bay Area Clean Energy Clusters in the Bay Area Products and Services in the Bay Area Loading map... {"format":"googlemaps3","type":"ROADMAP","types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"limit":500,"offset":0,"link":"all","sort":[""],"order":[],"headers":"show","mainlabel":"","intro":"","outro":"","searchlabel":"\u2026

24

A proof of Scott's correction for Matter Pedro Balodis Matesanz  

E-Print Network (OSTI)

-Fermi theory (TF in the next), distances scale as the 1=3 power of the nuclear average charge Z, i.e, we would) such that E Q R;Z;N := inf 2H; k k=1 h ; HR;Z;N i H #21; M X j=1 E Q (Z j ) + cZ 7=3 M X j=1 Z 1=3 ? j #1A proof of Scott's correction for Matter Pedro Balodis Matesanz January 2002 Abstract In this paper

25

Tidal Computations for Morecambe Bay  

Science Journals Connector (OSTI)

......Numerical model for storm surges in Galveston Bay, Proc. Am. S. Civil Eng...computation of two hurricane surges in Galveston Bay, Texas. Sielecki & Wurtele (1970...Numerical model for storm surges in Galveston Bay, Proc. Am. S. Civil Eng......

R. A. Flather; N. S. Heaps

1975-08-01T23:59:59.000Z

26

digital primary patch bay  

Science Journals Connector (OSTI)

A patch bay that provides (a) the first ... in a technical control facility and (b) patching, monitoring, and testing capabilities for both...Common abbreviation DPPB. Note: The digital ci...

2001-01-01T23:59:59.000Z

27

K-patch bay  

Science Journals Connector (OSTI)

A patching facility designed for patching and monitoring balanced digital data circuits, i...?1) (Mbps, Mb/s, Mb/sec) Synonym K-type patch bay. See also balance ...

2001-01-01T23:59:59.000Z

28

Module bay with directed flow  

DOE Patents (OSTI)

A module bay requires less cleanroom airflow. A shaped gas inlet passage can allow cleanroom air into the module bay with flow velocity preferentially directed toward contaminant rich portions of a processing module in the module bay. Preferential gas flow direction can more efficiently purge contaminants from appropriate portions of the module bay, allowing a reduced cleanroom air flow rate for contaminant removal. A shelf extending from an air inlet slit in one wall of a module bay can direct air flowing therethrough toward contaminant-rich portions of the module bay, such as a junction between a lid and base of a processing module.

Torczynski, John R. (Albuquerque, NM)

2001-02-27T23:59:59.000Z

29

Segmentation development for Galveston Bay. Final report  

SciTech Connect

The purpose of the study is to develop a segmentation scheme for the Galveston Bay System that will facilitate the other efforts planned by the Galveston Bay National Estuary Program (GBNEP). The study is organized around four tasks: (1) the evaluation of existing segmentation schemes, (2) evaluation of natural features and anthropogenic inputs, (3) determination of segmentation criteria, (4) and the drafting of the boundaries. To facilitate the management and presentation of the large amounts of geobased data accumulated, a geographic information system (GIS) was developed for the study area.

Not Available

1992-05-01T23:59:59.000Z

30

Benthic exchange of nutrients in Galveston Bay, Texas  

Science Journals Connector (OSTI)

Nutrient regeneration rates were determined at three sites increasing in distance from the Trinity River, the main freshwater input source, to Galveston Bay, Texas, from 1994 through 1996. Diffusive fluxes ... be...

Kent W. Warnken; Gary A. Gill; Peter H. Santschi; Lawrence L. Griffin

2000-10-01T23:59:59.000Z

31

Search by Voice in Mandarin Chinese Jiulong Shan1, Genqing Wu1, Zhihong Hu2, Xiliu Tang1, Martin Jansche2, Pedro J. Moreno2  

E-Print Network (OSTI)

Jansche2, Pedro J. Moreno2 1Google China Engineering Center, No. 1 Zhongguancun East Road, Beijing 100084

Tomkins, Andrew

32

ON CONSISTENCY OF BAYES PROCEDURES  

Science Journals Connector (OSTI)

ON CONSISTENCY OF BAYES PROCEDURES Loraine Schwartz DEPARTMENT OF MATHEMATICS, UNIVERSITY OF BRITISH COLUMBIA...COLUMBIA. | Journal Article ON CONSISTENCY OF BAYES PROCEDURES BY LORAINE SCHWARTZ DEPARTMENT OF MATHEMATICS, UNIVERSITY OF BRITISH COLUMBIA...

Loraine Schwartz

1964-01-01T23:59:59.000Z

33

Comparison of physical characteristics between created and natural estuarine marshes in Galveston Bay, Texas  

Science Journals Connector (OSTI)

Five natural and ten created Spartinaalternifloramarshes in the Lower Galveston BaySystem were compared to determine if there weresignificantly different physical characteristicsassociated with each type of marsh...

Tim P. Delaney; James W. Webb; Thomas J. Minello

2000-10-01T23:59:59.000Z

34

Vegetation and sediment characteristics of created and natural Spartina alterniflora marshes in Lower Galveston Bay, Texas.  

E-Print Network (OSTI)

??Five natural and ten created Spartina altemiflora marshes in the Lower Galveston Bay System, Texas, were compared to determine if there were significantly different vegetative (more)

Albertson, Andrea Kai

2012-01-01T23:59:59.000Z

35

Sediment water exchange of trace metals and nutrients in Galveston Bay, Texas.  

E-Print Network (OSTI)

??The benthic fluxes of several trace metals and nutrients were determined for three stations along the salinity gradient in the Trinity Bay region of Galveston (more)

Warnken, Kent Wayne

2012-01-01T23:59:59.000Z

36

Shoreline survey for unpermitted discharges to Galveston Bay  

SciTech Connect

The objectives of the study are to identify and map unpermitted point source discharges within selected shoreline segments of Galveston Bay and to develop a standard methodology and framework for future comprehensive shoreline surveys of the Galveston Bay system. The pilot study utilized low altitude aerial surveys and shallow draft small boat surveys to determine the extent of and to document locations of unpermitted discharges along 159 miles of bayou and bay shoreline. Nine different shoreline types were surveyed. Positions of discharges, both permitted and unpermitted were logged on to a personal computer data base management system and photographic documentation of both aerial and surface observations were catalogued.

Fay, R.R.; Sweet, S.; Wilson, R.J.

1991-08-01T23:59:59.000Z

37

Air Pollution Impacts of Shifting San Pedro Bay Ports Freight from Truck to Rail in Southern California  

E-Print Network (OSTI)

in pollutants compared to the baseline (Port trucks only).Improvement Program. 2008. 4. The Port of Long Beach.Port of Long Beach Air Emissions Inventory 2005. 2007. 5.

You, Soyoung Iris; Lee, Gunwoo; Ritchie, Stephen G.; Saphores, Jean-Daniel; Sangkapichai, Mana; Ayala, Roberto

2010-01-01T23:59:59.000Z

38

Acoustic characteristics of bay bottom sediments in Lavaca Bay, TX  

E-Print Network (OSTI)

METHODS An Edgetech X-Star chirp sonar was used to gather subbottom acoustic profile data from Lavaca Bay. The sonar fish was towed on a short line next to the side of the boat, about 0.5 m below the water surface. The data were recorded onto 4 mm... middle Lavaca Bay (just above Chocolate Bay) and Keller bay, which have lines running southwest to northeast (Fig. 1). The subbottom data were plotted and examined on a computer using SonarWeb, a seismic processing program from Chesapeake...

Patch, Mary Catherine

2005-08-29T23:59:59.000Z

39

Heat fluxes in Tampa Bay, Florida.  

E-Print Network (OSTI)

??The Meyers et al. (2007) Tampa Bay Model produces water level and three-dimensional current and salinity fields for Tampa Bay. It is capable of computing (more)

Sopkin, Kristin L

2008-01-01T23:59:59.000Z

40

Field's Point Wastewater Treatment Facility (Narragansett Bay...  

Open Energy Info (EERE)

Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Jump to: navigation, search Name Field's Point Wastewater Treatment Facility (Narragansett Bay Commission)...

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

CX-007990: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Exclusion Determination CX-007990: Categorical Exclusion Determination Pearl Substation 500-Kilovolt 6 Bay Addition CX(s) Applied: B4.6 Date: 02132012 Location(s):...

42

A comparison of physical characteristics between transplanted and natural Spartina alterniflora marshes in lower Galveston Bay, Texas.  

E-Print Network (OSTI)

??Five natural and ten transplanted Spartina alterniflora marshes in the Lower Galveston Bay System were compared to determine if there were significantly different physical characteristics (more)

Delaney, Timothy Patrick

2012-01-01T23:59:59.000Z

43

Mission Bay UCSF Campus Boundary  

E-Print Network (OSTI)

Design: reineckandreineck.com, San Francisco UCSF DMM Revised 8/10 6th Street Owens Street Owens Street Haile T. Debas South Gateway UCSF Police Of ce Third Street Garage Plaza Retail/ATM South North Helen Lane Hearst Tower West UCSF Mission Bay/ Gene Friend Way Muni Light Rail Station Mission Bay Housing

Lim, Wendell

44

Air and rain toxics deposition monitoring in Galveston Bay Texas  

SciTech Connect

In order to fulfill the mandates of the Great Waters Program and portions of the Clean Air Act Amendments of 1990, the Environmental Protection Agency (EPA) has initiated atmospheric monitoring research in important and representative water bodies, including coastal waters, for evidence of atmospheric deposition of pollutants. These pollutants include nutrients, trace metals, polynuclear aromatic hydrocarbons and PCBs. A site was established in Seabrook Texas on the western shore of Galveston Bay representative of southern, coastal water system. This study determines selected environmental pollutants of potential concern to Galveston Bay and other Gulf coastal waters. While information is currently being generated by other investigations in Galveston Bay, such as EPA EMAP, Galveston Bay National Estuary, NOAA Status and Trends and other programs on contaminants in sediments and organisms, little reliable data is available to assess atmospheric deposition. The importance of atmospheric deposition of contaminants to Galveston Bay, based on air and rain samples collected continuously from March 1995 to March 1996 will be presented and compared to the results from other Great Waters Program sites. These results are critical to the understanding of the relative importance of various contaminant inputs to Galveston Bay by estimating atmospheric depositional fluxes.

Wade, T.; Sweet, S.; Park, J.; Cifuentes, L.; Tindale, N.; Santschi, P.; Gill, G. [Texas A and M Univ., College Station, TX (United States). Coll. of Geosciences and Maritime Studies

1995-12-31T23:59:59.000Z

45

Air toxics deposition monitoring in Galveston Bay Texas  

SciTech Connect

In order to fulfill the mandates of the Great Waters Program and portions of the Clean Air Act Amendments of 1990, the Environmental Protection Agency (EPA) has initiated atmospheric monitoring research in important and representative water bodies, including coastal waters, for evidence of atmospheric deposition of pollutants. These pollutants include nutrients, trace metals, polynuclear aromatic hydrocarbons, PCBs and chlorinated pesticides. A site was established in Galveston Bay, Texas as a representative souther, coastal water system. This study determines selected environmental pollutants of potential concern to Galveston Bay and other Gulf coastal waters. While information is currently being generated by other investigations in Galveston Bay, such as EPA EMAP, Galveston Bay National Estuary, NOAA Status and Trends and other programs on contaminants in sediments and organisms, little reliable data is available to assess atmospheric deposition. This study is producing information on atmospheric deposition of pollutants to Galveston Bay, as well as on long range transport of pollutants to other water bodies. These research results are critical to the understanding of the relative importance of pollution inputs to Galveston Bay by estimating atmospheric depositional fluxes. The results from this Program will also be compared with the results from other Great Waters Program sites.

Wade, T.L.; Sweet, S.; Cifuentes, L.; Tindale, N.; Santschi, P.; Gill, G. [Texas A and M Univ., College Station, TX (United States)

1994-12-31T23:59:59.000Z

46

Endozoochory by beetles: a novel seed dispersal mechanism Clara de Vega1,*, Montserrat Arista2, Pedro L. Ortiz2, Carlos M. Herrera1 and Salvador Talavera2  

E-Print Network (OSTI)

, Pedro L. Ortiz2, Carlos M. Herrera1 and Salvador Talavera2 1 Estacio´n Biolo´gica de Don~ana, Consejo

Herrera, Carlos M.

47

Antecedent Geologic Controls on the Distribution of Oyster Reefs in Copano Bay, Texas  

E-Print Network (OSTI)

Copano Bay is a shallow (< 2-3 m), microtidal estuary in south central Texas. In an effort to both determine the distribution as well as investigate the controls on the distribution of oyster reefs, a geophysical survey of Copano Bay was conducted...

Piper, Erin Alynn

2011-08-08T23:59:59.000Z

48

Derivation of Delaware Bay tidal parameters from space shuttle photography  

SciTech Connect

The tide-related parameters of the Delaware Bay are derived from space shuttle time-series photographs. The water areas in the bay are measured from interpretation maps of the photographs with a CALCOMP 9100 digitizer and ERDAS Image Processing System. The corresponding tidal levels are calculated using the exposure time annotated on the photographs. From these data, an approximate function relating the water area to the tidal level at a reference point is determined. Based on the function, the water areas of the Delaware Bay at mean high water (MHW) and mean low water (MLW), below 0 m, and for the tidal zone are inferred. With MHW and MLW areas and the mean tidal range, the authors calculate the tidal influx of the Delaware Bay, which is 2.76 x 1O[sup 9] m[sup 3]. Furthermore, the velocity of flood tide at the bay mouth is determined using the tidal flux and an integral of the velocity distribution function at the cross section between Cape Henlopen and Cape May. The result is 132 cm/s, which compares well with the data on tidal current charts.

Zheng, Quanan; Yan, Xiaohai; Klemas, V. (Univ. of Delaware, Newark (United States))

1993-06-01T23:59:59.000Z

49

Vermilion Bay | Open Energy Information  

Open Energy Info (EERE)

Vermilion Bay Vermilion Bay Jump to: navigation, search Name Vermilion Bay Facility Vermilion Bay Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Coastal Point Energy LLC Developer Coastal Point Energy LLC Location Gulf of Mexico LA Coordinates 29.741°, -92.057° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.741,"lon":-92.057,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

50

Tidal Computations for Morecambe Bay  

Science Journals Connector (OSTI)

......Feasibility study of water conservation in Morecambe Bay, Report...very small amounts of water left behind as the tide recedes and since these pools are in no way connected...Feasibility study of water conservation in driven ocean circulations......

R. A. Flather; N. S. Heaps

1975-08-01T23:59:59.000Z

51

Ground penetrating radar characterization of wood piles and the water table in Back Bay, Boston  

E-Print Network (OSTI)

Ground penetrating radar (GPR) surveys are performed to determine the depth to the water table and the tops of wood piles beneath a residential structure at 122 Beacon Street in Back Bay, Boston. The area of Boston known ...

LeFranois, Suzanne O'Neil, 1980-

2003-01-01T23:59:59.000Z

52

Variations in trace metal concentrations in American oyster (Crassostrea virginica) collected from Galveston Bay, Texas  

Science Journals Connector (OSTI)

Nearly one thousand oysters (Crassostrea virginica) were collected at 15 sites on four sampling trips to Galveston Bay during 19921993. Iron, silver, arsenic, cadmium, copper, lead, and zinc were determined in t...

Kuo-Tung Jiann; Bobby Joe Presley

1997-12-01T23:59:59.000Z

53

Sonar imaging of bay bottom sediments and anthropogenic impacts in Galveston Bay, Texas  

E-Print Network (OSTI)

Knowledge of surface sediment distribution in Galveston Bay is important because it allows us to better understand how the bay works and how human activities impact the bay and its ecosystems. In this project, six areas of bay bottom were surveyed...

Maddox, Donald Shea

2007-04-25T23:59:59.000Z

54

ID3, SEQUENTIAL BAYES, NAIVE BAYES AND BAYESIAN NEURAL NETWORKS  

E-Print Network (OSTI)

to ID3. ID3 learning algorithm (Quinlan 1979) and its successors ACLS (Paterson & Niblett 1982), C4#cient in many learning tasks. It is shown how Sequential Bayes can be transformed into ID3 by replacing of network's execution (Kononenko 1989) enables the us­ age of a neural network as an expert system shell

Kononenko, Igor

55

HAGR: the Human Ageing Genomic Resources Joa~o Pedro de Magalha~es*, Joana Costa1  

E-Print Network (OSTI)

in several species. In the wake of the human genome, high-throughput projects in functional genomicsHAGR: the Human Ageing Genomic Resources Joa~o Pedro de Magalha~es*, Joana Costa1 and Olivier September 17, 2004 ABSTRACT The Human Ageing Genomic Resources (HAGR

de Magalhães, João Pedro

56

Hybrid Modeling of Communication Networks Using Modelica Daniel Farnqvist, Katrin Strandemar, Karl Henrik Johansson, and Jo~ao Pedro Hespanha  

E-Print Network (OSTI)

model is suitable for Modelica. Moreover, we show that simulating the model in Dymola providesHybrid Modeling of Communication Networks Using Modelica Daniel F¨arnqvist, Katrin Strandemar, Karl Henrik Johansson, and Jo~ao Pedro Hespanha§ Abstract Modeling and simulation of communication

Hespanha, João Pedro

57

CAROLINA BAYS AND THEIR ORIGIN  

Science Journals Connector (OSTI)

...peat, very fine, soft and sticky when wet and dries to a hard, brittle mass. It...finer particles formed by the constant milling of the sand by the spring are carried away...1935; MacCarthy, 1937) and written corn- respect to bays may not be found tenable...

58

PACIFIC OCEAN SOUTH BAY HARBOR  

E-Print Network (OSTI)

PACIFIC OCEAN LONG BEACH SOUTH BAY HARBOR GATEWAY NORWALK PASADENA EAST LA DOWNTOWN LOS ANGELES W illow P Pacific CoastHw y Anaheim 5th St 1stSt P©$ P©$ Transit Mall P©$ Pacific Long Beach P Lakew

Weinreb, Sander

59

Data from studies of previous radioactive waste disposal in Massachusetts Bay  

SciTech Connect

This report presents the results of studies conducted in Massachusetts Bay during 1981 and 1982. Included are data from: (1) a side scan sonar survey of disposal areas in the Bay that was carried out by the National Oceanic and Atmospheric Administration (NOAA) for EPA; (2) Collections of sediment and biota by NOAA for radiochemical analysis by EPA; (3) collections of marketplace seafood samples by the Food and Drug Administration (FDA) for radioanalysis by both FDA and EPA; and (4) a radiological monitoring survey of LLW disposal areas by EPA to determine whether there should be any concern for public health resulting from previous LLW disposals in the Bay.

Curtis, W.R.; Mardis, H.M.

1984-12-01T23:59:59.000Z

60

Berkeley Lab / Richmond Bay Campus  

NLE Websites -- All DOE Office Websites (Extended Search)

Second Campus Second Campus Long Range Development Plan Environmental Docs Department of Energy NEPA Environmental Documents Frequently Asked Questions (FAQ) Timeline Community Meetings Selection Process Contacts The Science The University of California, Berkeley and the University of California at the Lawrence Berkeley National Laboratory propose to establish a new research campus - the Richmond Bay Campus - in Richmond, California. The purpose of the proposed campus is to build upon the University of California's record of accomplishment in providing long-term societal benefits through discovery and the advancement of knowledge. UC Berkeley and Lawrence Berkeley National Laboratory's goals for the Richmond Bay Campus are: Advance LBNL and UC Berkeley's tradition of world class science by

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Sediment resuspension in Saginaw Bay  

Science Journals Connector (OSTI)

Abstract An integrated hydrodynamic and sediment transport model was applied to Saginaw Bay for the ice-free portions of 2009 and 2010. Observations of surface waves and suspended sediment concentration made during the spring of both years were used to constrain the model and to validate the model output. The results show that sediment resuspension in both the inner and outer bay is due almost entirely to surface wave action, and that the bulk of the resuspension events occur during the fall of each year. Although the model accurately predicted the occurrence of resuspension events, it did not always accurately simulate the amount of material resuspended. Because resuspension mixes bottom sediment into the water column and makes it and associated nutrients available to the biota, the effects of sediment resuspension need to be accounted for in any water quality model of the bay. Better specification of both the surface waves and the initial specification of the bottom sediment would probably improve the performance of the model.

Nathan Hawley; Todd Redder; Raisa Beletsky; Edward Verhamme; Dmitry Beletsky; Joseph V. DePinto

2014-01-01T23:59:59.000Z

62

MODELING THE FATE AND TRANSPORT OF ATRAZINE IN THE UPPER CHESAPEAKE BAY  

E-Print Network (OSTI)

for agrochemicals in the Upper Chesapeake Bay. Keywords: Chesapeake Bay, hydrodynamic model, atrazine, photolysis

Frei, Allan

63

Clean Cities: Tampa Bay Clean Cities coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. Tampa Bay Clean Cities coalition Contact Information Stephen...

64

Humboldt Bay Initiative: 2001 update and accomplishments  

E-Print Network (OSTI)

from the Humboldt Bay Sea Level Rise Synthesis and Communityis essential to all sea level rise forecasting, estuarineDiego ? ? Visualizing sea-level rise and potential impacts

Schlosser, Susan; Price-Hall, Rebecca

2011-01-01T23:59:59.000Z

65

Exploring Hydrodynamic Modeling of Texas Bays With focus on Corpus Christi Bay & Lavaca Bay  

E-Print Network (OSTI)

evaporation data or data from which evaporation may be estimated are required. In order to estimate evaporation, ELCOM requires solar radiation data, water/air temperature data, wind speed data, cloud cover, and other geographically significant factors..., and this inflow has been demonstrated to be significant from the TxBLEND modeling. The inflow will be estimated from the USGS gauged riverflow on the Nueces river, minus estimated evaporation losses. Environmental Forcing Group #3 Exchange between Oso Bay...

Furnans, Jordan

2004-01-01T23:59:59.000Z

66

Tampa Bay Area Ethanol Consortium | Open Energy Information  

Open Energy Info (EERE)

Tampa Bay Area Ethanol Consortium Jump to: navigation, search Name: Tampa Bay Area Ethanol Consortium Place: Tampa, Florida Sector: Biomass Product: Consortium researching ethanol...

67

San Francisco Bay Conservation and Development Commission | Open...  

Open Energy Info (EERE)

and Development Commission Jump to: navigation, search Logo: San Francisco Bay Conservation and Development Commission Name: San Francisco Bay Conservation and Development...

68

CX-003416: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

16: Categorical Exclusion Determination CX-003416: Categorical Exclusion Determination Biomass Fuel Pellets CX(s) Applied: B2.5, B5.1 Date: 08162010 Location(s): Green Bay,...

69

Bay area regional water recycling program  

SciTech Connect

The Bay Area Regional Water Recycling Project is a partnership of 19 water and wastewater agencies working to maximize San Francisco Bay Area water recycling. Benefits of the partnership are described, and the methodologies and analysis tools to implement the regional approach are identified.

Ritchie, S.; Bailey, M.; Raines, R.

1998-07-01T23:59:59.000Z

70

Using the eBay API  

Science Journals Connector (OSTI)

In chapters 3, 4, 5, and 6...of this book, you learned how to access the eBay service using the high-level eBay SDK, which provides an abstraction that lets you treat the remotely hosted resources of...

Ray Rischpater

2004-01-01T23:59:59.000Z

71

Low Oxygen Environments in Chesapeake Bay  

E-Print Network (OSTI)

Low Oxygen Environments in Chesapeake Bay Jeremy Testa Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Why we care about low oxygen? What causes low oxygen? Where and When does Chesapeake Bay lose oxygen? #12;#12;Hypoxia and Chesapeake Animals Low dissolved oxygen

Boynton, Walter R.

72

Measuring Sin^22?_13 with the Daya Bay Nuclear Reactors  

E-Print Network (OSTI)

Angle \\theta_13 is one of the two unknown neutrino mixing parameters to be determined. Its value may determine the future trend of the neutrino physics. We propose to measure sin^22\\theta_13 with a sensitivity better than 0.01 (90% C.L) at the Daya Bay reactor power plant.

Yifang Wang

2006-10-09T23:59:59.000Z

73

San Pedro Bay Delta, in Southern California Shore and Shore Use Changes During Past 1-1/2 Centuries from a Coastal Engineering Perspective  

E-Print Network (OSTI)

Interview in Oral History of Coastal Engineering ActivitiesInterview in Oral History of Coastal Engineering ActivitiesInterview in Oral History of Coastal Engineering Activities

Wiegel, Robert L.

2009-01-01T23:59:59.000Z

74

San Pedro Bay Delta, in Southern California Shore and Shore Use Changes During Past 1-1/2 Centuries from a Coastal Engineering Perspective  

E-Print Network (OSTI)

normalized energy density spectra from USC&GS tide gagewith energy spectra which he calculated from tide gage

Wiegel, Robert L.

2009-01-01T23:59:59.000Z

75

1972-1973. In D. F. SouleandM. Oguri (editorsl,Marine studies of San Pedro Bay, California, Part IV, p. 1-42.  

E-Print Network (OSTI)

Yarrow Drive, Suite A, Carlsbad, CA 92008 JOHN S. STEPHENS Department ofBiology Occidental College Los Center for Marine Research 6350 Yarrow Drive, Suite A Carlsbad, CA 92008 J. MYRON HOOD Department

76

Category:Green Bay, WI | Open Energy Information  

Open Energy Info (EERE)

WI WI Jump to: navigation, search Go Back to PV Economics By Location Media in category "Green Bay, WI" The following 16 files are in this category, out of 16 total. SVFullServiceRestaurant Green Bay WI Wisconsin Electric Power Co.png SVFullServiceRestauran... 79 KB SVQuickServiceRestaurant Green Bay WI Wisconsin Electric Power Co.png SVQuickServiceRestaura... 79 KB SVHospital Green Bay WI Wisconsin Electric Power Co.png SVHospital Green Bay W... 79 KB SVLargeHotel Green Bay WI Wisconsin Electric Power Co.png SVLargeHotel Green Bay... 78 KB SVLargeOffice Green Bay WI Wisconsin Electric Power Co.png SVLargeOffice Green Ba... 90 KB SVMediumOffice Green Bay WI Wisconsin Electric Power Co.png SVMediumOffice Green B... 78 KB SVMidriseApartment Green Bay WI Wisconsin Electric Power Co.png

77

Felton Bay Logistics, LLC | Open Energy Information  

Open Energy Info (EERE)

Felton Bay Logistics, LLC Felton Bay Logistics, LLC Jump to: navigation, search Logo: Felton Bay Logistics, LLC Name Felton Bay Logistics, LLC Place San Diego Zip 92115 Sector Services Product Strategies for Sustainability Year founded 2010 Number of employees 1-10 Website http://www.feltonbay.com Coordinates 32.7612759°, -117.0735241° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":32.7612759,"lon":-117.0735241,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

78

Bristol Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Bristol Bay Geothermal Area Bristol Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Bristol Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (1) 9 Exploration Activities (0) 10 References Area Overview Geothermal Area Profile Location: Bristol Bay Borough, Alaska Exploration Region: Alaska Geothermal Region GEA Development Phase: none"None" is not in the list of possible values (Phase I - Resource Procurement and Identification, Phase II - Resource Exploration and Confirmation, Phase III - Permitting and Initial Development, Phase IV - Resource Production and Power Plant Construction) for this property.

79

Tuscola Bay Wind | Open Energy Information  

Open Energy Info (EERE)

Tuscola Bay Wind Tuscola Bay Wind Jump to: navigation, search Name Tuscola Bay Wind Facility Tuscola Bay Wind Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner NextEra Energy Resources Developer NextEra Energy Resources Energy Purchaser Detroit Edison Location Fairgrove MI Coordinates 43.52596°, -83.653106° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.52596,"lon":-83.653106,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

80

Chesapeake Bay Test Site | Open Energy Information  

Open Energy Info (EERE)

Chesapeake Bay Test Site Chesapeake Bay Test Site Jump to: navigation, search Name Chesapeake Bay Test Site Facility Chesapeake Bay Test Site Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Owner Gamesa and Newport News Energy Developer Gamesa and Newport News Energy Location Atlantic Ocean VA Coordinates 37.243°, -76.062° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.243,"lon":-76.062,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Muon Simulation at the Daya Bay SIte  

E-Print Network (OSTI)

Muon simulation at the Daya Bay site Guan Mengyun ? Caowe simulated the underground muon background at the Daya Baysite. To get the sea-level muon ?ux parameteri- zation, a

Mengyun, Guan

2011-01-01T23:59:59.000Z

82

Mercury bioaccumulation in Lavaca Bay, Texas  

E-Print Network (OSTI)

MERCURY BIOACCUMULATION IN LAVACA BAY, TEXAS A Thesis by SALLY JO PALMER Submitted to the Office of Graduate Studies of Texas ABM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1992 Major... Subject: Oceanography MERCURY BIOACCUMULATION IN LAVACA BAY, TEXAS A Thesis by SALLY JO PALMER Approved as to style and content by: obby J. Pr y (Chair of Committee) Robe J. Tayl (Member) owell (Member) Marvin W. Rowe (Member) Gi bert T. Rowe...

Palmer, Sally Jo

2012-06-07T23:59:59.000Z

83

Sedimentary parameters of upper Barataria Bay, Louisiana  

E-Print Network (OSTI)

upon oonditions of sedimentation is exerted by currents set in motion 'by oceanic tides. Tidal activity causes sediment to be introduced into the upper bay and controls its distribution. A modifying influence i. s exerted by the influx of fresh... Classification and Distribution of Sediment Types Anomalous Areas CONDITIONS OF SEDIMENTATION Bathymetry Signifioance of Parameter Distribution Patterns Marginal areas Central bay Marginal embayments . ~ Environments of Deposition . CONCLUSIONS...

Siegert, Rudolf B

2012-06-07T23:59:59.000Z

84

The construction of the Browns Bay Vessel  

E-Print Network (OSTI)

INVESTIGATIVE TECHNIQUES. 10 19 The Site. National Historic Sites Service Excavation and Raising of the Vessel Vessel on Display. The Vessel in 1985. 19 20 27 28 Method of Recording III THE CONSTRUCTION OF THE VESSEL 31 36 The Keel 36 The Stem... A flat-bottomed boat being built. 17 9 Forelocked eye-bolts from the midship beam of the Browne Bay Vessel 21 10 Broad arrow stamped in an eye-bolt from the Browns Bay Vessel. . . . . . . . . . . . . . . . . . . . . . . . . . . 22 11 Pulley...

Amer, Christopher Francis

2012-06-07T23:59:59.000Z

85

Description and analysis of flintlock pistols recovered from a seventeenth-century shipwreck on Pedro Bank, Jamaica  

E-Print Network (OSTI)

of the 1691 Spanish Tierra Firme fleet. There are several unusual aspects concerning the Pedro Bank pistols. For instance, the guns were packed in boxes of cacao beans (Geddes 1988:67). Another unusual aspect is their presence on a Spanish ship... colonists, even though much of the trade was illegal. All of these separate events throughout the 17th century slowly brought the regular system of fleets to a halt. By the 1670s, the fleets were leaving port only at 2-3 year intervals. The frequency...

Garigen, Lisa Lynn

1991-01-01T23:59:59.000Z

86

Maximum likelihood reconstruction for the Daya Bay Experiment  

E-Print Network (OSTI)

The Daya Bay Reactor Neutrino experiment is designed to precisely determine the neutrino mixing angle theta13. In this paper, we report a maximum likelihood (ML) method to reconstruct the vertex and energy of events in the anti-neutrino detector, based on a simplified optical model that describes light propagation. We calibrate the key paramters of the optical model with Co60 source, by comparing the predicted charges of the PMTs with the observed charges. With the optimized parameters, the resolution of the vertex reconstruction is about 25cm for Co60 gamma.

Xia Dongmei

2014-03-07T23:59:59.000Z

87

Characterization and closure of the Met Lab Carolina Bay at the Savannah River site, Aiken, South Carolina  

SciTech Connect

The Met Lab Carolina Bay is subject to Subtitle C of RCRA and CERCLA requirements. Located in the northwestern section of the Savannah River Site, the Met Lab Carolina Bay is a marshy, oval-shaped natural depression covering approximately six acres. The Carolina Bay received wastes from three sources: the Met Lab Basin A-007 drainage outfall, the A-Area coal-fire power plant A-008 drainage outfall and the A/M-Area vehicle maintenance parking lot stormwater runoff A-009 outfall. Two characterization efforts conducted in 1988/89 and 1991 indicate the presence of metals in the sediments and soils of the bay. The greatest concentrations of the metals and organics being in the north-central portion of the bay. The metals and organics were primarily associated with surface sediments and the organic-rich soil layer to a depth of about two feet. Conclusions from the Human Health Baseline Risk indicate the future on-unit resident exposure to sediments and soil poses an unacceptable level of risk to human health. However, the assumptions built into the calculations lead to conservative human health risk findings. A qualitative Ecological Risk Assessment was performed on the Carolina Bay. This ecological assessment, based on historical and existing sampling data, was found to be insufficient to make a definitive decision on the contaminants` effects on the ecology of the bay. The proposed action for the Carolina Bay is to conduct an ecological characterization. It appears that the ecological risks will be in the driving factor in determining the remedial action for the Met Lab Carolina Bay.

Jerome, K.M.; Frazier, W.L.; Haselow, L.A.; Voss, L.

1993-07-01T23:59:59.000Z

88

Does Help Help? A Bayes Net Approach to Modeling Tutor Interventions  

E-Print Network (OSTI)

Does Help Help? A Bayes Net Approach to Modeling Tutor Interventions Kai-min Chang, Joseph E. Beck the effectiveness of tutor help in an intelligent tutoring system. Conventional pre- and post- test experimental methods can determine whether help is effective but are expensive to conduct. Furthermore, a pre and post

Mostow, Jack

89

Does Help Help? A Bayes Net Approach to Modeling Tutor Interventions  

E-Print Network (OSTI)

Does Help Help? A Bayes Net Approach to Modeling Tutor Interventions Kai-min Chang, Joseph E. Beck the effectiveness of tutor help in an intelligent tutoring system. Although conventional pre- and post- test experiments can determine whether tutor help is effective, they are expensive to conduct. Furthermore, pre

90

Joanne E. TAYLOR, Seonju LEE and Pedro W. CROUS Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Stellenbosch 7602, South Africa.  

E-Print Network (OSTI)

limited range of many species and the spread of alien plants, numerous fynbos inhabitants are now serio1480 Joanne E. TAYLOR, Seonju LEE and Pedro W. CROUS Department of Plant Pathology, University of Stellenbosch, Private Bag X1, Stellenbosch 7602, South Africa. E-mail: taylor!mopipi.ub.bw Received 20 October

91

Hooper Bay Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Hooper Bay Wind Farm Hooper Bay Wind Farm Jump to: navigation, search Name Hooper Bay Wind Farm Facility Hooper Bay Sector Wind energy Facility Type Commercial Scale Wind Facility Status In Service Owner Alaska Village Electric Coop (AVEC) Developer Alaska Village Electric Coop (AVEC) Energy Purchaser Alaska Village Electric Coop (AVEC) Location Hooper Bay AK Coordinates 61.53572°, -166.097182° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":61.53572,"lon":-166.097182,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

92

Cleveland Bay Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Cleveland Bay Wind Farm Cleveland Bay Wind Farm Jump to: navigation, search Name Cleveland Bay Wind Farm Facility Cleveland Bay Wind Farm Sector Wind energy Facility Type Offshore Wind Facility Status Proposed Developer Lake Erie Energy Development Corporation / Great Lakes Ohio Wind / Great Lakes Energy Wind LLC / Freshwater Wind LLC / Cavallo Great Lakes Ohio Wind LLC Location Cleveland Bay OH Coordinates 41.608°, -81.809° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.608,"lon":-81.809,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

93

New and Underutilized Technology: Efficient High Bay Fluorescent Lighting |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Efficient High Bay Fluorescent Efficient High Bay Fluorescent Lighting New and Underutilized Technology: Efficient High Bay Fluorescent Lighting October 7, 2013 - 8:54am Addthis The following information outlines key deployment considerations for efficient high bay fluorescent lighting within the Federal sector. Benefits Efficient high bay fluorescent lighting can include either T5 or T8 fluorescent lighting systems for high-bay applications currently using metal halide fixtures. Fluorescent fixtures offer better light distribution, better light maintenance over the life of the lamp, improved color quality, and on-off control (re-strike time) with lower energy consumption. Application Efficient high bay fluorescent lighting is applicable for facilities containing high bay areas. Key Factors for Deployment

94

TOURISM IN GOLDEN BAY Economic Impacts & Resource Use Issues  

E-Print Network (OSTI)

TOURISM IN GOLDEN BAY Economic Impacts & Resource Use Issues - Preliminary Report - June 2000 NZ Tourism Research Institute Victoria University of Wellington Auckland University of Technology #12;INTRODUCTION Golden Bay's tourism industry faces a number of pressing issues. Intensifying competition

95

Glacier Bay Inc | Open Energy Information  

Open Energy Info (EERE)

Glacier Bay Inc Glacier Bay Inc Jump to: navigation, search Name Glacier Bay Inc Place Oakland, California Zip 94601 Product US-based, advanced thermal control, sound reduction, and DC power management technologies developer. Coordinates 37.805065°, -122.273024° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.805065,"lon":-122.273024,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

96

Lost lake - restoration of a Carolina bay  

SciTech Connect

Carolina bays are shallow wetland depressions found only on the Atlantic Coastal Plain. Although these isolated interstream wetlands support many types of communities, they share the common features of having a sandy margin, a fluctuating water level, an elliptical shape, and a northwest to southeast orientation. Lost Lake, an 11.3 hectare Carolina bay, was ditched and drained for agricultural production before establishment of the Savannah River Site in 1950. Later it received overflow from a seepage basin containing a variety of chemicals, primarily solvents and some heavy metals. In 1990 a plan was developed for the restoration of Lost Lake, and restoration activities were complete by mid-1991. Lost Lake is the first known project designed for the restoration and recovery of a Carolina bay. The bay was divided into eight soil treatment zones, allowing four treatments in duplicate. Each of the eight zones was planted with eight species of native wetland plants. Recolonization of the bay by amphibians and reptiles is being evaluated by using drift fences with pitfall traps and coverboard arrays in each of the treatment zones. Additional drift fences in five upland habitats were also established. Hoop turtle traps, funnel minnow traps, and dip nets were utilized for aquatic sampling. The presence of 43 species common to the region has been documented at Lost Lake. More than one-third of these species show evidence of breeding populations being established. Three species found prior to the restoration activity and a number of species common to undisturbed Carolina bays were not encountered. Colonization by additional species is anticipated as the wetland undergoes further succession.

Hanlin, H.G.; McLendon, J.P. [Univ. of South Carolina, Aiken, SC (United States). Dept. of Biology and Geology; Wike, L.D. [Univ. of South Carolina, Aiken, SC (United States). Dept. of Biology and Geology; [Westinghouse Savannah River Co., Aiken, SC (United States). Savannah River Technology Center; Dietsch, B.M. [Univ. of South Carolina, Aiken, SC (United States). Dept. of Biology and Geology; [Univ. of Georgia, Aiken, SC (United States)

1994-09-01T23:59:59.000Z

97

Mercury Concentrations in Fish from the San Francisco Bay Area  

E-Print Network (OSTI)

Mercury Concentrations in Fish from the San Francisco Bay Area San Francisco Bay Regional Water on composite samples · Some mercury analysis on individual largemouth bass · Size targets #12;Tomales Bay Study chemical analyses (Hg and organics) conducted on composite samples · Some mercury analysis on individual

98

THERMOFLUID OPTIMIZATION OF A HEATED HELICOPTER ENGINE COOLING BAY SURFACE  

E-Print Network (OSTI)

effectiveness of an aircraft de-icing strategy by re-designing the cooling bay surface shape. The design of a helicopter cooling bay can be ice prone under certain atmospheric conditions. Its effective shape design1 THERMOFLUID OPTIMIZATION OF A HEATED HELICOPTER ENGINE COOLING BAY SURFACE D. Wang 1 , G. F

Wang, Gaofeng Gary

99

MODELING NEKTON HABITAT USE IN GALVESTON BAY, TEXAS  

E-Print Network (OSTI)

MODELING NEKTON HABITAT USE IN GALVESTON BAY, TEXAS: AN APPROACH TO DEFINE ESSENTIAL FISH HABITAT IN GALVESTON BAY, TEXAS: AN APPROACH TO DEFINE ESSENTIAL FISH HABITAT (EFH) Project Team: Randall D. Clark.A. Matthews. 1999. Modeling nekton habitat selection in Galveston Bay, Texas: An approach to define essential

100

Fagatele Bay National Marine Sanctuary GIS Capacity  

E-Print Network (OSTI)

Report, configuration notes American Samoa Spatial Data Infrastructure Maps GIS Data CDs Operating System, a number of issues regarding map projections and datums were resolved allowing GIS users to processFagatele Bay National Marine Sanctuary GIS Capacity Binder Index Background 2 Hardware, Software

Wright, Dawn Jeannine

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101

PRAE Pr-Reitoria de Assuntos Estudantis Dr. Faivre, 405 -Edifcio Dom Pedro II 1 andar -CEP: 80060-140 Curitiba Paran  

E-Print Network (OSTI)

de Estudos do Mar, após o dia 12 de setembro. Curitiba: PRAE: Rua Dr. Faivre, 405 Ed. D. Pedro II Universitário (em dias e horários a serem divulgados). Campus Palotina: UAPS: Prédio do SEMINÁRIO Rua: Vinte e dos Campi de Curitiba No Campus Palotina: Bloco Didático II - Campus Palotina - Rua Pioneiro, 2153

Paraná, Universidade Federal do

102

Bay Front Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Front Biomass Facility Front Biomass Facility Jump to: navigation, search Name Bay Front Biomass Facility Facility Bay Front Sector Biomass Location Ashland County, Wisconsin Coordinates 46.9794969°, -90.4824892° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.9794969,"lon":-90.4824892,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

103

LNG carrier underwater noise in Baffin Bay  

Science Journals Connector (OSTI)

Large powerful liquid natural gas carriers may soon ply Arctic waters year round. Concern has been expressed over the impact the resulting noise will have on Arctic marine life. This study includes estimates of LNG carrier?radiated noise source levels and resulting sound levels at a given distance from the ship for a number of operating conditions. Measurements of sound propagation and ambient noise conditions in Baffin Bay are used to estimate the shipnoise levels in relation to the summertime noise background.

L. J. Leggat; H. M. Merklinger; J. L. Kennedy

1981-01-01T23:59:59.000Z

104

Marine geology of the Bay of Campeche  

E-Print Network (OSTI)

of Oceanography and Meteorology August, 1938 1 V .?> TABLE OF CONTENTS Page LIST OF F I G U R E S .......................... ............... v LIST OF TABLES............................................ vii LIST OF PLATES... STATION 11 AND STATION 30. . 17 6 BATHYMETRIC CHART OF THE BAY OF CAMPECHE.......... In V' Pocket YV.,;r? ' t. 7 BOTTOM PROFILES OF THE CONTINENTAL SLOPE ALONG 92?001 WEST LONGITUDE (A-A) OFF CAMPECHE BANK AND OF THE OUTER PORTION...

Creager, Joe S.

2013-10-04T23:59:59.000Z

105

New and Underutilized Technology: High Bay LED Lighting | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

High Bay LED Lighting High Bay LED Lighting New and Underutilized Technology: High Bay LED Lighting October 7, 2013 - 8:55am Addthis The following information outlines key deployment considerations for high bay LED lighting within the Federal sector. Benefits LED light sources offer several potential benefits compared to metal halide or fluorescent lighting, including reduced energy consumption due to the ability to provide a more precise light distribution; longer operating life and lower maintenance requirements; less heat introduced into the space; and greater controllability for dimming and on/off control. Relevant to the cold storage application, LED performance improves in colder temperatures. Application High bay LED lighting is applicable for facilities containing high bay

106

BayWa Group | Open Energy Information  

Open Energy Info (EERE)

BayWa Group BayWa Group Jump to: navigation, search Name BayWa Group Place Munich, Germany Zip 81925 Sector Services, Solar Product Germany-based company with international operations specialised in wholesale and retail and in providing services. The company is also active in the biofuel and solar sectors. Coordinates 48.136415°, 11.577531° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.136415,"lon":11.577531,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

107

Seismic facies analysis of entrenched valley fill: a case study in Galveston Bay area, Texas  

SciTech Connect

The entrenched Trinity River valley beneath Galveston Bay was studied using high-resolution seismic data. The shape of the incised valley was determined on mini-sparker lines, which were obtained from the US Geological Survey in Corpus Christi, Texas. Uniboom lines, shot in 1987 aboard the Rice University research vessel R/V Matagorda, provided detailed records of the sediments filling the valley.

Smyth, W.C.; Anderson, J.B.; Thomas, M.A.

1988-09-01T23:59:59.000Z

108

Wetland plant communities, Galveston Bay system. Final report  

SciTech Connect

The report is the culmination of a field investigation of wetland plant communities, and is one phase of the project, Trends and Status of Wetland and Aquatic Habitats of the Galveston Bay System, Texas, sponsored by the Galveston Bay National Estuary Program. For purpose of the topical report, wetlands are defined and classified in terms of more classical definitions, for example, salt, brackish, and fresh marshes, in accordance with project requirements. More than 150 sites were examined in the Galveston Bay system.

White, W.A.; Paine, J.G.

1992-03-01T23:59:59.000Z

109

Sediment-water exchange of Mn, Fe, Ni and Zn in Galveston Bay, Texas  

Science Journals Connector (OSTI)

In-situ benthic flux studies were conducted at three stations in Upper Galveston Bay twice during March 1996 to directly measure release rates of dissolved Mn, Fe, Ni and Zn from the sediments. Results showed reproducible increases with time in both replicate light and lightdark benthic chambers, resulting in average fluxes of ?1200780, ?1712, ?1.60.6 and ?2.40.79 ?mol m?2 day?1 for Mn, Fe, Ni and Zn, respectively. Sediment cores collected during 19941996 showed that surficial pore water concentrations were elevated compared to overlying water column concentrations, suggesting diffusive release from the sediments. Diffusive flux estimates of Mn and Zn agreed in direction with chamber fluxes measured on the same date, but only accounted for 538% of the measured flux. Diffusive fluxes of Fe agreed with measured fluxes at the near Trinity River station but overestimated actual release in the mid and outer Trinity Bay regions, possibly due to inaccurate determination of the Fe pore water gradients or rapid oxidation processes in the overlying water at these stations. In general, measured fluxes of Mn and Ni were higher in the mid Trinity Bay region and suggested a mechanism for the elevated trace metal concentrations previously reported for this region of Galveston Bay. However, the fluxes of Fe were highest in close proximity to the Trinity River, supporting the elevated Fe concentrations measured in this region during this and other studies, and decreased towards middle and outer Trinity Bay. Trace metal turnover times were between 0.1 and 1.2 days for Mn, between 1.3 and 4.6 days for Fe, and between 27 and 100 days for Ni and 1220 days Zn, and were considerably shorter than the average Trinity Bay water residence time (1.5 years) for this period. Comparing area averaged benthic inputs to Trinity River inputs shows the sediments to be a significant source of trace metals to Galveston Bay. However, while benthic inputs of trace metals were measured, water column concentrations remained low despite rapid turnover times for Mn and Fe, suggesting removal of these metals from the water column after release from the sediments.

Kent W Warnken; Gary A Gill; Lawrence L Griffin; Peter H Santschi

2001-01-01T23:59:59.000Z

110

Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community  

SciTech Connect

In 2011 the Inter-Tribal Council of Michigan, Inc. was awarded an Energy Efficiency Development and Deployment in Indian Country grant from the U.S. Department of Energys Tribal Energy Program. This grant aimed to study select Bay Mills Indian Community community/government buildings to determine what is required to reduce each buildings energy consumption by 30%. The Bay Mills Indian Community (BMIC) buildings with the largest expected energy use were selected for this study and included the Bay Mills Ellen Marshall Health Center building, Bay Mills Indian Community Administration Building, Bay Mills Community College main campus, Bay Mills Charter School and the Waishkey Community Center buildings. These five sites are the largest energy consuming Community buildings and comprised the study area of this project titled Energy Efficiency Feasibility Study and Resulting Plan for the Bay Mills Indian Community. The end objective of this study, plan and the Tribe is to reduce the energy consumption at the Communitys most energy intensive buildings that will, in turn, reduce emissions at the source of energy production, reduce energy expenditures, create long lasting energy conscious practices and positively affect the quality of the natural environment. This projects feasibility study and resulting plan is intended to act as a guide to the Communitys first step towards planned energy management within its buildings/facilities. It aims to reduce energy consumption by 30% or greater within the subject facilities with an emphasis on energy conservation and efficiency. The energy audits and related power consumption analyses conducted for this study revealed numerous significant energy conservation and efficiency opportunities for all of the subject sites/buildings. In addition, many of the energy conservation measures require no cost and serve to help balance other measures requiring capital investment. Reoccurring deficiencies relating to heating, cooling, thermostat setting inefficiencies, powering computers, lighting, items linked to weatherization and numerous other items were encountered that can be mitigated with the energy conservation measures developed and specified during the course of this project.

Kushman, Chris

2014-02-03T23:59:59.000Z

111

Categorical Exclusion Determinations: Alaska | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

November 3, 2010 November 3, 2010 CX-004353: Categorical Exclusion Determination Alaska-Tribe-Nanwalek (Also Known As English Bay) CX(s) Applied: A9, A11 Date: 11/03/2010 Location(s): Nanwalek, Alaska Office(s): Energy Efficiency and Renewable Energy November 2, 2010 CX-004354: Categorical Exclusion Determination Alaska-Tribe-Village of Kotlik CX(s) Applied: A9, B2.5, B5.1 Date: 11/02/2010 Location(s): Kotlik, Alaska Office(s): Energy Efficiency and Renewable Energy October 27, 2010 CX-004312: Categorical Exclusion Determination Alaska-Tribe-Native Village of Scammon Bay CX(s) Applied: A9, A11, B2.5, B5.1 Date: 10/27/2010 Location(s): Scammon Bay, Alaska Office(s): Energy Efficiency and Renewable Energy October 1, 2010 CX-004006: Categorical Exclusion Determination Alaska-Tribe-Wrangel Cooperative Association

112

BayWa Sunways JV | Open Energy Information  

Open Energy Info (EERE)

Sunways JV Jump to: navigation, search Name: BayWa & Sunways JV Place: Germany Sector: Solar Product: Germany-based JV that specialises in developing, planning and realizing...

113

Chesapeake Bay, Drilling for Oil or Gas Prohibited (Virginia)  

Energy.gov (U.S. Department of Energy (DOE))

Drilling for oil or gas in the waters or within 500 hundred feet from the shoreline of the Chesapeake Bay or any of its tributaries is prohibited.

114

Control of hardwood regeneration in restored carolina bay depression wetlands.  

SciTech Connect

Carolina bays are depression wetlands located in the coastal plain region of the eastern United States. Disturbance of this wetland type has been widespread, and many sites contain one or more drainage ditches. Restoration of bays is of interest because they are important habitats for rare flora and fauna. Previous bay restoration projects have identified flood-tolerant woody competitors in the seedbank and re-sprouting as impediments to the establishment of desired herbaceous wetland vegetation communities. We restored 3 bays on the Savannah River Site, South Carolina, by plugging drainage ditches, harvesting residual pine/hardwood stands within the bays, and monitoring the vegetative response of the seedbank to the hydrologic change. We applied a foliar herbicide on one-half of each bay to control red maple (Acerrubrum), sweetgum (Liquidambar styraciflua), and water oak (Quercus nigra) sprouting, and we tested its effectiveness across a hydrologic gradient in each bay. Hardwood regeneration was partially controlled by flooding in bays that exhibited long growing season hydroperiods. The findings also indicated that herbicide application was an effective means for managing hardwood regeneration and re-sprouting in areas where hydrologic control was ineffective. Herbicide use had no effect on species richness in the emerging vegetation community. In late-season drawdown periods, or in bays where hydroperiods are short, more than one herbicide application may be necessary.

Moser, Lee, J.; Barton, Christopher, D.; Blake, John, I.

2012-06-01T23:59:59.000Z

115

ESnet, Orange Silicon Valley, and Bay Microsystems Demonstrate...  

NLE Websites -- All DOE Office Websites (Extended Search)

ESnet, Orange Silicon Valley, and Bay Microsystems Demonstrate the World's First Long Distance 40Gbps RDMA Data Transfer News & Publications ESnet in the News ESnet News Media &...

116

The Effects of the "Ike Dike" barriers on Galveston Bay:.  

E-Print Network (OSTI)

??In 2008 Hurricane Ike flooded large parts of the barrier islands in front of the Galveston Bay near Houston, Texas. The storm surge also entered (more)

Ruijs, M.

2011-01-01T23:59:59.000Z

117

Species diversity and water quality in Galveston bay, Texas  

Science Journals Connector (OSTI)

The relationships between species diversity of phytoplankton, zooplankton, nekton and benthos samples and the water quality of Galveston Bay, Texas were quantitatively compared. Two water quality parameters...

B. J. Copeland; Timothy J. Bechtel

1971-11-01T23:59:59.000Z

118

The distribution of biogenic thiols in surface waters of Galveston Bay  

Science Journals Connector (OSTI)

along a salinity gradient in estuarine waters off of Galveston Bay, Texas. ... A major thiol peak was present in Lower Galveston Bay and a minor peak in Upper.

1910-00-90T23:59:59.000Z

119

Trace metal contamination of waters, sediments, and organisms of the Swan Lake area of Galveston Bay.  

E-Print Network (OSTI)

??Swan Lake is a sub-bay of the Galveston Bay system. The area received runoff from a tin smelter via the Wah Chang Ditch which ran (more)

Park, Junesoo

2012-01-01T23:59:59.000Z

120

CX-003000: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

00: Categorical Exclusion Determination 00: Categorical Exclusion Determination CX-003000: Categorical Exclusion Determination Alaska-Tribe-Native Village of Chenega Bay CX(s) Applied: B2.5, B5.1 Date: 07/08/2010 Location(s): Chenega Bay, Alaska Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The Native Village of Chenega Bay of Alaska proposes to purchase and install materials and equipment needed to replace three electrical transformers, including pedestals and pads, which are part of the power system which provides electricity to residential properties in the Native Village of Chenega Bay, Alaska. These transformer upgrades will provide uninterrupted electrical power to twenty-three existing residential structures. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

CX-000599: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9: Categorical Exclusion Determination 9: Categorical Exclusion Determination CX-000599: Categorical Exclusion Determination Flathead Substation Bay Addition - L0307 CX(s) Applied: B4.6 Date: 01/13/2010 Location(s): Flathead County, Montana Office(s): Bonneville Power Administration Flathead Electric Cooperative (FEC) has requested a new 230-kilovolt (kV) point of delivery at Bonneville Power Administration's (BPA's) Flathead Substation to serve FEC's new 230/69-kV transformer and 69-kV system upgrades. FEC is upgrading their 34.5-kV sub-transmission system to 69-kV operation to serve continued load growth in the greater Kalispell, Montana area. In order to accomodate this request, BPA proposes to expand the Flathead Substation yard to convert and existing bay (BAY #15) to connect FEC's new transformer and relocate the equipment from the converted bay to

122

CX-001636: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6: Categorical Exclusion Determination 6: Categorical Exclusion Determination CX-001636: Categorical Exclusion Determination Alexandria Bay, New York, Met Tower: General Services Administration Border Station CX(s) Applied: B3.1, A9 Date: 04/08/2010 Location(s): Alexandria Bay, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office This project is for the commissioning of a meteorological (met) tower to be installed at the adjacent to the Alexandria Bay Land Port of Entry (LPOE). located in the Village of Alexandria Bay, Wellesley Island, Jefferson County. State of New York. The subject site is owned by the Thousand Island Bridge Authority and has granted the General Services Administration (GSA) a Right of Entry agreement to install the tower with the GSA's intention of

123

CALIFORNIA STATE UNIVERSITY, EAST BAY FACULTY EMPLOYMENT OPPORTUNITY  

E-Print Network (OSTI)

CALIFORNIA STATE UNIVERSITY, EAST BAY FACULTY EMPLOYMENT OPPORTUNITY DEPARTMENT OF STATISTICS, statistics and biostatistics, as well as for employment opportunities nationwide. Our programs are flexible about CSU, East Bay visit http://www20.csueastbay.edu. THE DEPARTMENT: The Department of Statistics

Jornsten, Rebecka

124

Dissolved organic matter in Chesapeake Bay sediment pore waters  

E-Print Network (OSTI)

Dissolved organic matter in Chesapeake Bay sediment pore waters David J. Burdige * Department of recent studies of dissolved organic matter (DOM) in Chesapeake Bay sediment pore waters are summar- ized water DOM. This analysis shows that much of the DOM accumulating in sediment pore waters appears

Burdige, David

125

Regulatory effectiveness study for the Christmas Bay Coastal Preserve  

SciTech Connect

The report contains a description and evaluation of essential regulatory activities governing Armand Bayou and its watershed. The report will be used in management planning for the preserve, and will also contribute to the baseline regulatory data for developing the Galveston Bay Comprehensive Conservation and Management Plan. A companion report was prepared for the Christmas Bay Coastal Preserve.

Mitchell, G.; Windsor, D.

1991-12-01T23:59:59.000Z

126

MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on  

E-Print Network (OSTI)

MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on Molting Tanner Crabs, Chionoecetes bairdi JOHN F bairdi , from Alaska walers were exposed 10 Prudhoe Bay crude oil in sIalic bioassays ill Ih e laboralory. Crabs in bOlh slages were similarly susceplible 10 crude oil; Ihe eSlimaled 48-hour TLIIl (Illedian

127

Chesapeake Bay Preservation Programs (Multiple States) | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) Chesapeake Bay Preservation Programs (Multiple States) < Back Eligibility Agricultural Commercial Construction Developer Fed. Government Fuel Distributor General Public/Consumer Industrial Installer/Contractor Institutional Investor-Owned Utility Local Government Low-Income Residential Multi-Family Residential Municipal/Public Utility Nonprofit Residential Retail Supplier Rural Electric Cooperative Schools State/Provincial Govt Systems Integrator Transportation Tribal Government Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Siting and Permitting Provider Chesapeake Bay Program The Chesapeake Bay Program is a unique regional partnership that has led

128

Clean Cities: East Bay Clean Cities (Oakland) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Bay Clean Cities (Oakland) Coalition Bay Clean Cities (Oakland) Coalition The East Bay Clean Cities (Oakland) coalition works with vehicle fleets, fuel providers, community leaders, and other stakeholders to reduce petroleum use in transportation. East Bay Clean Cities (Oakland) coalition Contact Information Richard Battersby 530-752-9666 rebattersby@ucdavis.edu Chris Ferrara 925-459-8062 caf3@pge.com Coalition Website Clean Cities Coordinators Coord Richard Battersby Coord Coord Chris Ferrara Coord Photo of Richard Battersby Richard Battersby is director of fleet services at the University of California, Davis and has been Coordinator of the East Bay (Oakland) Clean Cities coalition since 2003. Battersby has over 25 years of experience in the fleet industry and has written and participated in numerous local, state, and federal grant-funded

129

Sediment-water fluxes of mercury in Lavaca Bay, Texas  

SciTech Connect

The aqueous flux of inorganic Hg and monomethyl Hg from sediments to the water column was determined at several sites in Lavaca Bay, an estuary along the Texas Coast, historically impacted by Hg discharges. Diffusive fluxes were calculated at 15 sites using interstitial pore water gradients and compared to direct flux measurements obtained at two sites using benthic flux chambers. The diffusive flux of monomethyl mercury (MMHg), when modeled as a chloride species, varied over 3 orders /of magnitude from 0.2 to 1500 ng m{sup {minus}2} day{sup {minus}1}. Diffusive fluxes determined at a single site revealed that MMHg fluxes varied seasonally; maximal fluxes occurred in late winter to early spring. Flux chamber deployments at an impacted site revealed t hat MMHg was the Hg species entering the water column from sediments and the flux was not in steady-state; there was a strong diurnal signal with most of the MMHg flux occurring during dark periods. The flux of inorganic Hg was smaller and not as easily discernible by this method. The MMHg flux during the dark period was about 6 times greater than the estimated diffusional flux for MMHgCl, suggesting that biological and/or chemical processes near the sediment-water interface were strongly mediating the sediment-water exchange of MMHg.

Gill, G.A. [Texas A and M Univ., Galveston, TX (United States)] [Texas A and M Univ., Galveston, TX (United States); Bloom, N.S. [Frontier Geosciences Inc., Seattle, WA (United States)] [Frontier Geosciences Inc., Seattle, WA (United States); Cappellino, S. [Parametrix, Inc., Houston, TX (United States)] [Parametrix, Inc., Houston, TX (United States); Driscoll, C.T. [Syracuse Univ., NY (United States). Dept. of Civil and Environmental Engineering] [Syracuse Univ., NY (United States). Dept. of Civil and Environmental Engineering; Dobbs, C.; McShea, L. [Aluminum Co. of America, Point Comfort, TX (United States)] [Aluminum Co. of America, Point Comfort, TX (United States); Mason, R. [Univ. of Maryland, Solomons, MD (United States). Chesapeake Biological Lab.] [Univ. of Maryland, Solomons, MD (United States). Chesapeake Biological Lab.; Rudd, J.W.M. [Dept. of Fisheries and Oceans, Winnipeg, Manitoba (Canada). Freshwater Inst.] [Dept. of Fisheries and Oceans, Winnipeg, Manitoba (Canada). Freshwater Inst.

1999-03-01T23:59:59.000Z

130

The San Francisco/Oakland Bay Bridge Will be Partially Closed Presidents' Day Weekend 2012  

E-Print Network (OSTI)

/or alternate bridges: Golden Gate, Richmond-San Rafael, San Mateo-Hayward, Dumbarton BART (BAY AREA RAPIDThe San Francisco/Oakland Bay Bridge Will be Partially Closed Presidents' Day Weekend 2012 In order to complete an essential step in the construction of the new Bay Bridge, the WESTBOUND DECK of the Bay Bridge

Hellerstein, Joseph M.

131

Chesapeake Bay Program Water Quality Database | Data.gov  

NLE Websites -- All DOE Office Websites (Extended Search)

Chesapeake Bay Program Water Quality Database Chesapeake Bay Program Water Quality Database Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean » Data Chesapeake Bay Program Water Quality Database Dataset Summary Description The Chesapeake Information Management System (CIMS), designed in 1996, is an integrated, accessible information management system for the Chesapeake Bay Region. CIMS is an organized, distributed library of information and software tools designed to increase basin-wide public access to Chesapeake Bay information. The information delivered by CIMS includes technical and public information, educational material, environmental indicators, policy documents, and scientific data. Through the use of relational databases, web-based programming, and web-based GIS a large number of Internet resources have been established. These resources include multiple distributed on-line databases, on-demand graphing and mapping of environmental data, and geographic searching tools for environmental information. Baseline monitoring data, summarized data and environmental indicators that document ecosystem status and trends, confirm linkages between water quality, habitat quality and abundance, and the distribution and integrity of biological populations are also available. One of the major features of the CIMS network is the Chesapeake Bay Program's Data Hub, providing users access to a suite of long- term water quality and living resources databases. Chesapeake Bay mainstem and tidal tributary water quality, benthic macroinvertebrates, toxics, plankton, and fluorescence data can be obtained for a network of over 800 monitoring stations.

132

Subsurface geology of Corpus Christi Bay, Neuces County, Texas  

SciTech Connect

Prolific production in Corpus Christi Bay has occurred mainly in the regressive Frio Barrier Bar System and the associated shore face-shelf environment. All production in Corpus Christi Bay area is below the Anahuac transgressive wedge with the greatest accumulation in the 1st Marg. sand, which has produced a minimum of 680 BCF of gas in the Red Fish Bay-Mustang Island Common 10 reservoir, the largest single reservoir in South Texas. The 1st Marg. sands have produced in excess of 990 BCFG from four fields in Corpus Christi Bay. Shallow hydrocarbons in Corpus Christi Bay are associated with the South Texas Frio Barrier Bar System and are structurally trapped on large fault bound anticlines or up-to-the-coast relief faults. Deeper production from the Frio Sands is mainly on the Barrier Bar shoreface and associated with fault bounded anticlinal closures. Structural complexity increases with depth especially along the large strike aligned growth faults, some up to 4000 ft displacement, and the associated rollover anticlines. subsidiary faults, and shale plugs. These deeper reservoirs are usually pressure-depletion drives. The oil industry can point with pride to the co-existence with the fragile bay environment while extracting huge reserves. Most of the wells are on State of Texas marine leases and are controlled by State rules and City of Corpus Christi Bay drilling ordinances.

Collins, J.W.

1996-09-01T23:59:59.000Z

133

TEC Rail TG Summary_Green Bay  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

September 13-14, 2006 September 13-14, 2006 Green Bay, WI RAIL TOPIC GROUP Mr. Jay Jones began the meeting with a welcome and introduction of the topic members, other participants, and support staff. A brief overview was given of the topic group's activities since the last TEC meeting. This meeting focused on the Topic Group's subgroup activities. Key comments and discussions are summarized below. Status Update of the Rail Topic Group Mr. Jones mentioned the planned creation of a new topic group to be called the Routing Topic Group. The Rail Topic Group would still exist as a topic group. However, since the emphasis would be in developing routing criteria and ultimately a national suite of routes over the next year or so, this separate Routing Topic Group would be created to address

134

Massachusetts Bay Trans Auth | Open Energy Information  

Open Energy Info (EERE)

Auth Auth Jump to: navigation, search Name Massachusetts Bay Trans Auth Place Massachusetts Utility Id 49848 Utility Location Yes Ownership P NERC Location NPCC NERC NPCC Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes Activity Retail Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates Commercial: $0.0896/kWh Transportation: $0.1250/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from

135

Evaluation of dredged material proposed for ocean disposal from Red Hook/Bay Ridge project areas, New York  

SciTech Connect

The objective of the Red HookIBay Ridge project was to evaluate proposed dredged material from these two areas to determine its suitability for unconfined ocean disposal at the Mud Dump Site. Sediment samples were collected from the Red Hook/Bay Ridge project areas. Tests and analyses were conducted. The evaluation of proposed dredged material from the Red Hook/Bay Ridge project areas consisted of bulk sediment chemical analyses, chemical analyses of dredging site water and elutriate, water-column and benthic acute toxicity tests. Twenty-four individual sediment core samples were collected from these two areas and analyzed for grain size, moisture content, and total organic carbon (TOC). Three composite sediment samples, representing Red Hook Channel and the two Bay Ridge Reaches to be dredged, were analyzed for bulk density, specific gravity, metals, chlorinated pesticides, polychlorinated biphenyl (PCB) congeners, polynuclear aromatic hydrocarbons (PAH), and 1,4-dichlorobenzene. Dredging site water and elutriate water, which is prepared from the suspended-particulate phase (SPP) of the three Red Hook Bay Ridge sediment composites, were analyzed for metals, pesticides, and PCBS. Benthic acute toxicity tests were performed. Water-column or SPP toxicity tests were performed. Bioaccumulation tests were also conducted.

Pinza, M.R.; Barrows, E.S.; Borde, A.B. [Battelle/Marine Sciences Lab., Sequim, WA (United States)

1996-09-01T23:59:59.000Z

136

City of Larsen Bay, Alaska (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Larsen Bay, Alaska (Utility Company) Larsen Bay, Alaska (Utility Company) Jump to: navigation, search Name City of Larsen Bay Place Alaska Utility Id 10716 Utility Location Yes Ownership M NERC Location AK Operates Generating Plant Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial Rate Commercial Industrial Rate Industrial Residential Rate Residential Average Rates Residential: $0.3910/kWh Commercial: $0.3340/kWh References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=City_of_Larsen_Bay,_Alaska_(Utility_Company)&oldid=40983

137

East Bay Municipal Util Dist | Open Energy Information  

Open Energy Info (EERE)

Bay Municipal Util Dist Bay Municipal Util Dist Jump to: navigation, search Name East Bay Municipal Util Dist Place California Utility Id 5571 Utility Location Yes Ownership M NERC Location WECC NERC WECC Yes Operates Generating Plant Yes Activity Generation Yes Activity Wholesale Marketing Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png No rate schedules available. Average Rates No Rates Available References ↑ "EIA Form EIA-861 Final Data File for 2010 - File1_a" Retrieved from "http://en.openei.org/w/index.php?title=East_Bay_Municipal_Util_Dist&oldid=41061

138

Wave-forced resuspension of upper Chesapeake Bay muds  

Science Journals Connector (OSTI)

Moored instruments were used to make observations of near bottom currents, waves, temperature, salinity, and turbidity at shallow (3.5 m and 5.5 m depth) dredged sediment disposal sites in upper Chesapeake Bay du...

Lawrence P. Sanford

1994-03-01T23:59:59.000Z

139

Seagrass habitat utilization by fishes in Christmas Bay, Texas  

E-Print Network (OSTI)

Fishes in Christmas Bay, TX were collected during April 1994 through March 1995 to: 1) assess temporal variability in their density, biomass, and diversity; 2) define the relationship between variability in fish population parameters...

Crotwell, Patricia Lynn

2012-06-07T23:59:59.000Z

140

Sediment Toxicity Identification Evaluations San Francisco Bay Regional Monitoring  

E-Print Network (OSTI)

Sediment Toxicity Identification Evaluations San Francisco Bay Regional Monitoring Program chemicals of concern that may impact the estuary's ecosystem. Toxicity Identification Evaluation (TIE identified weak associations between mortality and bulk-phase chlordane and silver concentrations at Redwood

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Rose-bay Willow-Herb and Honey Bees  

Science Journals Connector (OSTI)

... and even store surplus nectar from the rose-bay willow-herb. This plant also provides humble bees with food at a time when the next year's queens are being reared ...

1945-04-21T23:59:59.000Z

142

Aerial survey of Bay Area continues through Saturday | National Nuclear  

National Nuclear Security Administration (NNSA)

of Bay Area continues through Saturday | National Nuclear of Bay Area continues through Saturday | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Aerial survey of Bay Area continues through Saturday Aerial survey of Bay Area continues through Saturday Posted By Office of Public Affairs NNSA Blog This week, a NNSA helicopter has been flying at a low-level altitude over

143

McKay Bay Facility Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

McKay Bay Facility Biomass Facility McKay Bay Facility Biomass Facility Jump to: navigation, search Name McKay Bay Facility Biomass Facility Facility McKay Bay Facility Sector Biomass Facility Type Municipal Solid Waste Location Hillsborough County, Florida Coordinates 27.9903597°, -82.3017728° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":27.9903597,"lon":-82.3017728,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

144

Categorical Exclusion Determinations: American Recovery and Reinvestment  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Categorical Exclusion Determinations: American Recovery and Categorical Exclusion Determinations: American Recovery and Reinvestment Act Related Categorical Exclusion Determinations: American Recovery and Reinvestment Act Related Categorical Exclusion Determinations issued for actions related to the the American Recovery and Reinvestment Act of 2009. DOCUMENTS AVAILABLE FOR DOWNLOAD November 2, 2009 CX-000026: Categorical Exclusion Determination Ivanoff Bay Village Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 11/02/2009 Location(s): Ivanoff Bay, Alaska Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000025: Categorical Exclusion Determination Cortina Rancheria of Wintun Indians Renewable Energy Technologies (Wind) on Government Buildings CX(s) Applied: B5.1, B3.6, A1

145

CX-004312: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

12: Categorical Exclusion Determination 12: Categorical Exclusion Determination CX-004312: Categorical Exclusion Determination Alaska-Tribe-Native Village of Scammon Bay CX(s) Applied: A9, A11, B2.5, B5.1 Date: 10/27/2010 Location(s): Scammon Bay, Alaska Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The Native Village of Scammon Bay of Alaska proposes to 1) develop an energy efficiency and conservation strategy and 2) retrofit the Tribal Office Building with foam insulation, hire carpenters to complete the project, and install a new energy efficient glycol furnace. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-004312.pdf More Documents & Publications CX-003000: Categorical Exclusion Determination CX-005241: Categorical Exclusion Determination

146

Petroleum hydrocarbon-degrading bacteria in the Galveston Bay system  

E-Print Network (OSTI)

PETROLEUM HYDRQCARBOiV-DEGRADING BACTERIA IN THE GALVESTON BAY SYSTEM A Thesis by STEVEN JAMES SCHROPP Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIFNCE... December 1979 Major Subject: Biology PETROLEUM HYDROCARBON-DEGRADING BACTERIA IN THE GALVESTON BAY SYSTEM A Thesis by STEVEN JAMES SCHROPP Approved as to style and content by: (Co-Chairman of Committee) '( ~CA. ( -Chairman of Committee) (Head...

Schropp, Steven James

1979-01-01T23:59:59.000Z

147

Gas, liquids flow rates hefty at Galveston Bay discovery  

SciTech Connect

Extended flow tests indicate a large Vicksburg (Oligocene) gas, condensate, and oil field is about to be developed in western Galveston Bay. Internal estimates indicates that ultimate recovery from the fault block in which the discovery well was drilled could exceed 1 tcf of gas equivalent of proved, possible, and probable reserves. The paper discusses the test program for this field and other prospects in the Galveston Bay area.

Petzet, G.A.

1998-01-19T23:59:59.000Z

148

Commencement Bay Nearshore/Tideflats Remedial Investigation. summary report  

SciTech Connect

The report summarizes work complete under the U.S. EPA/WDOE Cooperative Agreement for the Commencement Bay Nearshore/Tideflats Remedial Investigation of the Waterways/Shoreline area. The Commencement Bay Superfund Investigation includes various integrated program management and technical components. These include assessments of chemical contamination, biological effects, toxicity, and public health concerns; identification of sources; and identification of potential remedial actions and technologies.

Not Available

1985-08-01T23:59:59.000Z

149

Predicted survival of the bay anchovy (Anchoa mitchilli) in the heated effluent of a power plant on Galveston Bay, Texas  

Science Journals Connector (OSTI)

The bay anchovy (Anchoa mitchilli), collected from the intake canal of the P.H. Robinson Generating Station, Bacliff, Texas, were tested for 180 min at various constant temperatures during June 1974 through Septe...

Kyung S. Chung; Kirk Strawn

1982-01-01T23:59:59.000Z

150

Ecological evaluation of proposed dredged material from Winyah Bay, South Carolina  

SciTech Connect

The navigational channels of Winyah Bay, Georgetown Harbor, South Carolina require dredging to enable normal shipping traffic to use these areas. Before dredging, environmental assessments must be conducted to determine the suitability of this dredged sediment for unconfined, open-water disposal. The Charleston, South Carolina District Office of the US Army Corps of Engineers (USACE) requested that the Battelle/Marine Science Laboratory (MSL) collect sediment samples and conduct the required physical/chemical, toxicological, and bioaccumulation evaluations as required in the 1991 Implementation Manual. This report is intended to provide information required to address potential ecological effects of the Entrance Channel and Inner Harbor sediments proposed disposal in the ocean.

Ward, J.A.; Gardiner, W.W.; Pinza, M.R.; Word, J.Q. [Battelle/Marine Sciences Lab., Sequim, WA (United States)

1993-10-01T23:59:59.000Z

151

DEVELOPMENT OF A COASTAL MARGIN OBSERVATION AND ASSESSMENT SYSTEM (CMOAS) TO CAPTURE THE EPISODIC EVENTS IN A SHALLOW BAY  

E-Print Network (OSTI)

Page 6.1 Spatial BOD variation in CC Bay as captured by grab sampling ................. 156 7.1 Basic equations for fractal aggregates under the coalesced fractal sphere assumption (Lee et al. 2000... functions can be described as the contact mechanisms between particles (Gregory, 1989). The aggregation kinetics of particles needs to be determined through fractal theories as aggregate particles in natural systems exhibit fractal characteristics (Jackson...

Islam, Mohammad S.

2010-07-14T23:59:59.000Z

152

The Cost of the Technological Sublime: Daring Ingenuity and the new San Francisco-Oakland Bay Bridge  

E-Print Network (OSTI)

Cruz. Unity Towers East Bay Bridge, New East Span ProposalSubmitted to MTC Bay Bridge Design Task Force, 6 May.Francisco- Oakland Bay Bridge, T.Y. Lin International and

Frick, Karen Trapenberg

2008-01-01T23:59:59.000Z

153

Experimental effects of black brant herbivory and fecal addition on the eelgrass animal community in Humboldt Bay, California, USA  

E-Print Network (OSTI)

HUMBOLDT BAY, CALIFORNIA, USA By Adam J. Frimodig A ThesisHUMBOLDT BAY, CALIFORNIA, USA By Adam J. Frimodig ApprovedHumboldt Bay, California, USA Adam J. Frimodig Seagrass beds

Frimodig, Adam J.

2007-01-01T23:59:59.000Z

154

Categorical Exclusion Determinations: Native American and Alaskan Native  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 20, 2010 December 20, 2010 CX-004785: Categorical Exclusion Determination Minnesota-Tribe-Minnesota Chippewa Tribe (Leech Lake Tribe) CX(s) Applied: B3.6, B5.1 Date: 12/20/2010 Location(s): Minnesota Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004781: Categorical Exclusion Determination Alaska-Tribe-Village of Wainwright CX(s) Applied: A9, B5.1 Date: 12/20/2010 Location(s): Wainwright, Alaska Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004780: Categorical Exclusion Determination Alaska-Tribe-Ivanof Bay Tribal Council CX(s) Applied: A9, B2.5, B5.1 Date: 12/20/2010 Location(s): Ivanof Bay, Alaska Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004779: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association

155

CX-000026: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

26: Categorical Exclusion Determination 26: Categorical Exclusion Determination CX-000026: Categorical Exclusion Determination Ivanoff Bay Village Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 11/02/2009 Location(s): Ivanoff Bay, Alaska Office(s): Energy Efficiency and Renewable Energy The tribe proposes to design an energy efficiency and conservation strategy within 120 days. The planning process will involve 1-3 special meetings of the five member Ivanoff Bay Tribal Council; council members are community members who were elected to a council position by the tribal membership. Energy Efficiency and Conservation Block Grant funds will be used to cover the cost of these meetings. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000026.pdf More Documents & Publications CX-006883: Categorical Exclusion Determination

156

Categorical Exclusion Determinations: Fossil Energy | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

29, 2010 29, 2010 CX-000749: Categorical Exclusion Determination Ultra-Deepwater Resources to Reserves Development and Acceleration Through Appraisal CX(s) Applied: A9 Date: 01/29/2010 Location(s): Austin, Texas Office(s): Fossil Energy, National Energy Technology Laboratory January 29, 2010 CX-000750: Categorical Exclusion Determination Characterization of Pilocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide (Terminal Island Drilling) CX(s) Applied: A9, B3.1 Date: 01/29/2010 Location(s): San Pedro, California Office(s): Fossil Energy, National Energy Technology Laboratory January 29, 2010 CX-000751: Categorical Exclusion Determination Characterization of Pilocene and Miocene Formations in the Wilmington

157

Categorical Exclusion Determinations: A9 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

9, 2010 9, 2010 CX-003827: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9, B3.1 Date: 09/09/2010 Location(s): San Pedro, California Office(s): Fossil Energy, National Energy Technology Laboratory September 9, 2010 CX-003825: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9, B3.1 Date: 09/09/2010 Location(s): Long Beach, California Office(s): Fossil Energy, National Energy Technology Laboratory September 9, 2010 CX-003818: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington

158

Categorical Exclusion Determinations: B3.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

September 9, 2010 September 9, 2010 CX-003828: Categorical Exclusion Determination Idaho National Laboratory - United States Geological Survey (USGS) Geotechnical Drilling Program (USGS 136) CX(s) Applied: B3.1 Date: 09/09/2010 Location(s): Snake River Plains, Idaho Office(s): Nuclear Energy, Idaho Operations Office September 9, 2010 CX-003827: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide CX(s) Applied: A9, B3.1 Date: 09/09/2010 Location(s): San Pedro, California Office(s): Fossil Energy, National Energy Technology Laboratory September 9, 2010 CX-003825: Categorical Exclusion Determination Characterization of Pliocene and Miocene Formations in the Wilmington

159

Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) |  

Open Energy Info (EERE)

Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Jump to: navigation, search Name Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Facility Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Gilbane Building Company Developer Narragansett Bay Commission Energy Purchaser Field's Point Location Providence RI Coordinates 41.79260859°, -71.3896966° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.79260859,"lon":-71.3896966,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

160

Market Channels and Value Added to Fish Landed at Monterey Bay Area Ports  

E-Print Network (OSTI)

Sample Input-Output Data to Port Level Summaries with PacFINMonterey Bay area (MBA) ports: Moss Landing, Monterey andlanded at Monterey Bay ports (i.e. , Moss Landing, Monterey

Pomeroy, Caroline; Dalton, Michael

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Hydrodynamic models for San Francisco Bay: An overview of what we can model, when  

E-Print Network (OSTI)

on the domain (SF Bay) #12;A Grid: Northern SF Bay/Golden Gate ChuaandFringer(2011) Finest resolution: 10 m average Thermal front near Dumbarton Bridge #12;More complicated models: Sediment transport in South SF

162

E-Print Network 3.0 - andrew bay florida Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Florida Bay... Interagency Florida Bay Science Program by Donald F. Boesch, Neal E. Armstrong, James E. Cloern, Linda A... . Deegan, Steven C. McCutcheon, Ronald D. Perkins, and...

163

Energy Secretary Steven Chu to Travel to Bay Area to Highlight...  

Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the Union...

164

Complexation of mercury by dissolved organic matter in surface waters of Galveston Bay, Texas  

Science Journals Connector (OSTI)

The chemical speciation of dissolved mercury in surface waters of Galveston Bay was determined using the concentrations of mercury-complexing ligands and conditional stability constants of mercury-ligand complexes. Two classes of natural ligands associated with dissolved organic matter were determined by a competitive ligand exchange-solvent solvent extraction (CLE-SSE) method: a strong class (Ls), ranging from 19 to 93 pM with an average conditional stability constant (KHgLs) of 1028, and a weak class (Lw) ranging from 1.4 to 9.8 nM with an average \\{KHgLs\\} of 1023. The range of conditional stability constants between mercury and natural ligands suggested that sulfides and thiolates are important binding sites for dissolved mercury in estuarine waters. A positive correlation between the estuarine distribution of dissolved glutathione and that of mercury-complexing ligands supported this suggestion. Thermodynamic equilibrium modeling using stability constants for HgL, HgClx, Hg(OH)x, and HgCl(OH) and concentrations of each ligand demonstrated that almost all of the dissolved mercury (>99%) in Galveston Bay was complexed by natural ligands associated with dissolved organic matter. The importance of low concentrations of high-affinity ligands that may originate in the biological system (i.e., glutathione and phytochelatin) suggests that the greater portion of bulk dissolved organic matter may not be important for mercury complexation in estuarine surface waters.

Seunghee Han; Gary A. Gill; Ronald D. Lehman; Key-Young Choe

2006-01-01T23:59:59.000Z

165

Galveston Bay Biodiesel LP GBB | Open Energy Information  

Open Energy Info (EERE)

Galveston Bay Biodiesel LP GBB Galveston Bay Biodiesel LP GBB Jump to: navigation, search Name Galveston Bay Biodiesel LP (GBB) Place Houston, Texas Product Developer of a 75.8m litre per year biodiesel facility on the Galveston Bulk Terminal site, located on Galveston Island. Coordinates 29.76045°, -95.369784° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.76045,"lon":-95.369784,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

166

Chesapeake Bay Restoration Act (Maryland) | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Restoration Act (Maryland) Restoration Act (Maryland) Chesapeake Bay Restoration Act (Maryland) < Back Eligibility Agricultural Commercial Construction Developer Industrial Investor-Owned Utility Municipal/Public Utility Rural Electric Cooperative Utility Savings Category Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Home Weatherization Solar Wind Program Info State Maryland Program Type Environmental Regulations Provider Maryland Department of the Environment This legislation sets limits on development near Chesapeake Bay as well as on dredging and the deposition of dredged material into the bay. The legislation establishes the Cox Creek Citizens Oversight Committee (now mostly defunct); the Hart-Miller-Pleasure Island Oversight Committee, which provides oversight and monitoring of the future development, use, and

167

EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, 4: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun and Jackson Counties, Texas EIS-0494: Excelerate Liquefaction Solutions Lavaca Bay LNG Project, Calhoun and Jackson Counties, Texas SUMMARY The Federal Energy Regulatory Commission (FERC) is preparing, with DOE as a cooperating agency, an EIS to analyze the potential environmental impacts of a proposal to construct and operate a liquefied natural gas terminal consisting of two floating liquefaction, storage and offloading units and a 29-mile pipeline header system to transport natural gas from existing pipeline systems to the LNG terminal facilities. PUBLIC COMMENT OPPORTUNITIES None at this time. DOCUMENTS AVAILABLE FOR DOWNLOAD March 12, 2013 EIS-0494: Notice of Intent to Prepare an Environmental Impact Statement

168

Winchester Bay, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Winchester Bay, Oregon: Energy Resources Winchester Bay, Oregon: Energy Resources (Redirected from Winchester Bay, OR) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.6770608°, -124.1748369° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.6770608,"lon":-124.1748369,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

169

City of Sturgeon Bay, Wisconsin (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

Sturgeon Bay, Wisconsin (Utility Company) Sturgeon Bay, Wisconsin (Utility Company) Jump to: navigation, search Name Sturgeon Bay City of Place Wisconsin Utility Id 18249 Utility Location Yes Ownership M NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes Alt Fuel Vehicle Yes Alt Fuel Vehicle2 Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service Commercial General Service TOU - 7am - 7pm Commercial General Service TOU - 8am - 8pm Commercial General Service TOU - 9am - 9pm Commercial General Service Three-phase Commercial General Service Three-phase TOU - 7am - 7pm Commercial

170

Bay Resource Management Center Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

Center Biomass Facility Center Biomass Facility Jump to: navigation, search Name Bay Resource Management Center Biomass Facility Facility Bay Resource Management Center Sector Biomass Facility Type Municipal Solid Waste Location Bay County, Florida Coordinates 30.1805306°, -85.684578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.1805306,"lon":-85.684578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

171

CX-004780: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

80: Categorical Exclusion Determination 80: Categorical Exclusion Determination CX-004780: Categorical Exclusion Determination Alaska-Tribe-Ivanof Bay Tribal Council CX(s) Applied: A9, B2.5, B5.1 Date: 12/20/2010 Location(s): Ivanof Bay, Alaska Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The Ivanof Bay Tribal Council of Alaska proposes to 1) subsidize the cost of initial and post energy inspections (energy audits) for qualified homeowners; 2) provide a training class that educates the consumer on the energy star rating program, subsidize the cost of replacing older appliances with energy star rated appliances for homeowners, and costs associated with shipping appliances, if required; and 3) provide training, including tuition, for tribal members to attend a workshop on how to effectively

172

CX-000682: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

682: Categorical Exclusion Determination 682: Categorical Exclusion Determination CX-000682: Categorical Exclusion Determination Central Facilities Area-696 Power and Plumbing Upgrades CX(s) Applied: B1.7, B2.1 Date: 02/01/2010 Location(s): Idaho Office(s): Idaho Operations Office, Nuclear Energy There is insufficient electrical power in the East Bay and the West Bay of the Central Facility Area Transportation Complex to allow the craftsmen to fully utilize the available floor space without the use of extension cords. Additionally, a new hydraulic hose clamper is to be installed in the Parts Room and it needs a dedicated 30 ampere power supply. The craftsmen also need another wash sink in the East Bay. The current method of connecting to the internet using Local Area Network cables is cumbersome and inefficient.

173

CX-002999: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

99: Categorical Exclusion Determination 99: Categorical Exclusion Determination CX-002999: Categorical Exclusion Determination Alaska-Tribe-Ivanof Bay Tribal Council CX(s) Applied: A9, B2.5, B5.1 Date: 07/09/2010 Location(s): Ivanof Bay, Alaska Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The Ivanof Bay Tribal Council of Alaska proposes to 1) provide energy audits through a qualified energy rater for initial and post energy inspections for qualified homeowners; 2) provide a training class that educates the consumer on the energy star rating program and subsidize the cost of replacing older appliances with energy star rated appliances for homeowners; 3) provide weatherization services to homeowners to include caulking windows and door jams and educate tribal members on correct cold

174

Categorical Exclusion (CX) Determination  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Circle substation expansion Circle substation expansion Description of Proposed Action: Expansion of the Circle substation approximately 4 acres to the south for the purpose of adding additional bays for the Keystone XL pipeline project. Number and Title of Categorical Exclusions Being Applied: 10 CFR 1021.410 Subpart D, Appendix B, B4.11: Construction of electric power substations ... or modification of existing substations and support facilities. Regulatory Requirements for CX Determination: The DOE Guidelines for Compliance with the Regulatory Requirements for the National Environmental Policy Act at 10 CFR 1021.410(b), require the following determinations be made in order for a proposed action to be categorically excluded from National Environmentally Policy Act (NEPA) review:

175

Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed  

E-Print Network (OSTI)

Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed STAC Committee). 2013. Exploring the environmental effects of shale gas development in the Chesapeake Bay of shale gas development in the Chesapeake Bay Watershed. The purpose of this workshop was to engage

176

Population and Production Estimates for Decapod Crustaceans in Wetlands of Galveston Bay, Texas  

E-Print Network (OSTI)

Population and Production Estimates for Decapod Crustaceans in Wetlands of Galveston Bay, Texas in regularly flooded wetlands of lower Galveston Bay, Texas, with data on small-scale (1�50- m) distribution sizes within shallow wetland habitats of the Galveston Bay system in Texas by combining regression

177

FACTORS AFFECTING MACROPHYTE AND FISH DISTRIBUTION IN COASTAL WETLANDS OF GEORGIAN BAY  

E-Print Network (OSTI)

FACTORS AFFECTING MACROPHYTE AND FISH DISTRIBUTION IN COASTAL WETLANDS OF GEORGIAN BAY #12;FACTORS AFFECTING MACROPHYTE AND FISH DISTRIBUTION IN COASTAL WETLANDS OF GEORGIAN BAY By MAJA CVETKOVIC, B and fish distribution in coastal wetlands of Georgian Bay AUTHOR: Maja Cvetkovic, B.Sc. (Mc

McMaster University

178

Final Independent External Peer Review for the Biscayne Bay Coastal Wetlands Project  

E-Print Network (OSTI)

Final Independent External Peer Review for the Biscayne Bay Coastal Wetlands Project Implementation-TERM ANALYSIS SERVICE (STAS) on Final Independent External Peer Review Report Biscayne Bay Coastal Wetlands COASTAL WETLANDS PROJECT IMPLEMENTATION REPORT EXECUTIVE SUMMARY The Biscayne Bay Coastal Wetlands (BBCW

US Army Corps of Engineers

179

Nutrient pulsing as a regulator of phytoplankton abundance and community composition in Galveston Bay, Texas  

Science Journals Connector (OSTI)

Galveston Bay, Texas, is a large shallow estuary with a watershed that includes 60% of the major industrial facilities of Texas. However, the system exhibits low to moderate (220 ?g l?1) microalgal biomass with sporadic phytoplankton blooms. Both nitrogen (N) and phosphate (P) limitation of phytoplankton growth have been proposed for the estuary. However, shifts between N and P limitation of algae growth may occur due to annual fluctuations in nutrient concentrations. The primary goal of this work was to determine the primary limiting nutrient for phytoplankton in Galveston Bay. Nutrient addition bioassays were used to assess short-term (12 days) phytoplankton responses (both biomass and community composition) to potentially limiting nutrients. The experimental bioassays were conducted over an annual cycle using natural water collected from the center to lower part of the estuary. Total phytoplankton biomass increased in the nitrate (10 ?M) additions in 11 of the 13 bioassays, but no significant increases were detected in the phosphate (3 ?M)-only additions. Bioassay results suggest that the phytoplankton community was usually not phosphate limited. All major groups increased in biomass following nitrate additions but diatoms increased in biomass at a faster rate than other groups, shifting the community composition toward higher relative abundance of diatoms. The results of this study suggest that pulsed N input events preferentially favor increases in diatom biomass in this estuary. The broader implications of this study are that N pulsing events, primarily due to river discharge, play an important role in structuring the phytoplankton community in the Galveston Bay estuary.

Erla B. rnlfsdttir; S.Elizabeth Lumsden; James L. Pinckney

2004-01-01T23:59:59.000Z

180

Environmental management inventory of Galveston Bay. Final report  

SciTech Connect

The purpose of the report is to provide an inventory of those agencies and laws along with their associated regulations, that constitute the regulatory framework for environmental protection of Galveston Bay, one of the estuaries of national significance covered under the 1987 law. The inventory is largely descriptive, serving as the first phase in a larger project which will ultimately evaluate the effectiveness of the existing regulatory framework. That assessment in turn will form the basis for the Comprehensive Conservation and Management Plan as well as for policy recommendations to improve the coordination of environmental management of the Bay.

Hadden, S.G.

1992-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Inventory and analysis of bay management structure for the Corpus Christi Bay National Estuary Program study area  

SciTech Connect

This report characterizes the existing resource management framework for the Corpus Christi Bay National Estuary Program (CCBNEP) study area. Historical and current regulatory and non-regulatory approaches to resource management were examined, and an identification made of the significant gaps or overlaps in organizational roles and authorities. Efforts were taken to coordinate the Base Program Analysis with that for the Galveston Bay NEP, the Texas Coastal Management Program, and other similar projects, to both build upon and ensure that efforts are not duplicated.

Richard, B.; Bacon, E.; Dietz, R.; DeMoors, K.; Needham, K.

1996-02-01T23:59:59.000Z

182

Ecological evaluation of proposed dredged material from St. Andrew Bay, Florida  

SciTech Connect

The US Army Corps of Engineers (USACE), Mobile District, requested that the Battelle/Marine Sciences Laboratory (MSL) conduct field sampling and chemical and biological testing to determine the suitability of potential dredged material for open ocean disposal. Sediment from St. Andrew Bay was chemically characterized and evaluated for biological toxicity and bioaccumulation of contaminants. The Tier III guidance for ocean disposal testing requires tests of water column effects (following dredged material disposal), deposited sediment toxicity, and bioaccumulation of contaminants from deposited sediment (dredged material). To meet these requirements, the MSL conducted suspended-particulate-phase (SPP) toxicity tests, solid-phase toxicity tests, and bioaccumulation testing on sediment representing potential dredged material from Panama City Harbor. Physical and chemical characterization of sediment to support toxicity and bioaccumulation results was also conducted on both the test and reference sediments. The MSL collected sediment samples from five sites in St. Andrew Bay and one reference site near Lands End Peninsula. The five test sediments and the reference sediment were analyzed for physical and chemical sediment characteristics, SPP chemical contaminants, solid-phase toxicity, SPP toxicity, and bioaccumulation of contaminants.

Mayhew, H.L.; Word, J.Q.; Kohn, N.P.; Pinza, M.R.; Karle, L.M.; Ward, J.A. [Battelle/Marine Sciences Lab., Sequim, WA (United States)

1993-10-01T23:59:59.000Z

183

Bayes Net Toolbox practical Charles Fox, University of Sheffield  

E-Print Network (OSTI)

this network (which is a Directed Acyclic graph, or 'DAG'), we create an adjacency matrix: N = 4 %the number of nodes in the network dag = zeros(N,N) %connectivity matrix for the net (directed acyclic graph) C = 1 matlab >>cd bayesnet >>cd FullBNT1.0.4/ >>addpath(genpathKPM(pwd)) Creating your first Bayes net

Barker, Jon

184

Covered Product Category: Industrial Luminaires (High/Low Bay)  

Energy.gov (U.S. Department of Energy (DOE))

The Federal Energy Management Program (FEMP) provides acquisition guidance and Federal efficiency requirements for Industrial Luminaires (High/Low Bay). Federal laws and requirements mandate that agencies meet these efficiency requirements in all procurement and acquisition actions that are not specifically exempted by law.

185

Empirical Bayes approach to improve wavelet thresholding for image noise  

E-Print Network (OSTI)

Empirical Bayes approach to improve wavelet thresholding for image noise reduction Maarten Jansen thresholding for image noise reduction Maarten Jansen Adhemar Bultheel Report TW 296, October 1999 Department to improve wavelet thresholding for image noise reduction Maarten Jansen and Adhemar Bultheel Department

Jansen, Maarten

186

Vicksburg, Frio successes lift Galveston Bay area prospects  

SciTech Connect

Tertiary plays are yielding gas and condensate reserves in Galveston and Trinity bays and adjacent Galveston and Chambers counties along the Upper Texas Gulf Coast. The area south and southeast of Houston has long been productive of gas mainly from Upper Frio sands. Operators armed with modern geophysical techniques are now targeting reserves in deeper Frio and Vicksburg horizons. Interpretation of 3D seismic data is being used on some projects, and 2D data and AVO analysis have also been helpful. TransTexas Gas Corp., Houston, believes it has encountered large potential reserves of high pressure gas in Vicksburg in Galveston Bay just north of Texas City. Several operators are drilling exploratory wells within 5--10 miles west of TransTexas` indicated discovery. Enserch Exploration Inc., Dallas, and Vintage Petroleum Corp., Tulsa, are successfully exploring Trinity Bay and northeastern Galveston Bay in Chambers County southwest of Anahuac. Elsewhere in Chambers County, Columbus Energy Corp., Denver, completed a Frio F-16 deeper pool gas/condensate discovery beneath giant Anahuac oil field. Several operators are reporting success at gas/condensate tests across the county. Exploration activities are discussed in these deposits.

Petzet, G.A.

1997-08-11T23:59:59.000Z

187

The health of Florida Bay, which lies be-  

E-Print Network (OSTI)

r/fi .V u. r V \\ The health of Florida Bay, which lies be- tween the mainland and the Florida Keys, is dependent on the health of the rest of the Everglades. the aftcniooii (il June 2, with ;i tlid\\ nt a pen onto increasingly dangerous arterial roads. Even the head of the East Central Florida Regional Planning

Handy, Susan L.

188

EA-1995: Trestle Bay Ecosystem Restoration Project, Clatsop County, Oregon  

Energy.gov (U.S. Department of Energy (DOE))

The U.S. Army Corps of Engineers is preparing, with DOEs Bonneville Power Administration (BPA) as a cooperating agency, an EA that evaluates the potential environmental impacts of a proposal to improve estuary habitat in Trestle Bay. BPAs proposed action is to partially fund the proposal.

189

Mission Bay Housing Services Bicycle Storage Procedures and Policies  

E-Print Network (OSTI)

Mission Bay Housing Services Bicycle Storage Procedures and Policies Procedures All bicycles must Garage. To contact the office call: (415) 476-1511. You will be issued a bicycle sticker, which should be displayed on your bicycle at all times. Once your bike has been registered, visit the Housing Services

Yamamoto, Keith

190

Measuring Heterogeneity in Forensic Databases Using Hierarchical Bayes Models  

E-Print Network (OSTI)

Measuring Heterogeneity in Forensic Databases Using Hierarchical Bayes Models By Kathryn Roeder, as currently defined, do not uniquely identify individuals. For criminal cases involving DNA evidence, forensic­ ing profiles are based on reference populations maintained by forensic testing laboratories. Each

191

Studies on the anatomy and ecological distribution of Dentalium texasianum Philippi 1848 in West Bay of the Galveston Bay complex (Mollusca: scaphopoda  

E-Print Network (OSTI)

, L''uis pass . -oz~ Trini River ~p ~~ xcv at Hwy 46 Fnckinson P ay Lower ~C raise ton Bay (~ 30 6 end ot Seawall T. P) We t' Beach Foti'ets Isl J 9d'45'W 9' 30'W 12 bottom. Penetration was only several centimeters, depending... included surface salinity values from West Bay, East Bay, and Lower Galveston Bay which were taken during three days in March, 1926 (Table 1, pg. 20) . Hopkins (1931) pub- lished water temperature, salinity, and pH values from March to August, 1929...

Peterson, Larry Randal

2012-06-07T23:59:59.000Z

192

Biomarker sensitivity for polynuclear aromatic hydrocarbon contamination in two marine fish species collected in Galveston Bay, Texas  

SciTech Connect

The Galveston Bay estuary exhibited a contamination gradient for polynuclear aromatic hydrocarbons (PAHs) and halogenated aromatic hydrocarbons, and the comparative sensitivity of various biomarkers in fish from different bay locations were determined. Two fish species, hardhead catfish (Arius felis) and Atlantic croaker (Micropogon undulatus), were collected from four stations where sediment total PAHs ranged from 68 > 1,000 ng/g. The induction of cytochrome P4501A-(CYP1A)-dependent hepatic ethoxyresorufin-O-deethylase (EROD) activity, CYPIA mRNA levels, or CYPIA immunoreactive protein in hardhead catfish was highly variable in the field-collected fish and in fish dosed with up to 15 mg/kg benzo[a]pyrene (BaP). In contrast, significant differences were seen in biliary concentrations of naphthalene, phenanthrene, and BaP metabolites in hardhead catfish from polluted versus less polluted areas. In croakers taken from the same four Galveston Bay locations, EROD and glutathione S-transferase activities, immunoreactive CYP1A protein, biliary PAH metabolites, and PAH-DNA adducts were higher at the contaminated stations compared with less polluted locations. These studies suggest that the croaker is a good species for monitoring contaminants that induce CYP1A-mediated responses. Biliary PAH metabolites and PAH-DNA adducts were also sensitive indicators of exposure to PAH contamination in both species of fish.

Willett, K.L.; Steinberg, M.A.; Safe, S.H. [Texas A and M Univ., College Station, TX (United States). Veterinary Physiology and Pharmacology; McDonald, S.J.; Beatty, K.B.; Kennicutt, M.C. [Geochemical and Environmental Research Group, College Station, TX (United States)

1997-07-01T23:59:59.000Z

193

The Carolina Bay Restoration Project - Final Report 2000-2006.  

SciTech Connect

A Wetlands Mitigation Bank was established at SRS in 1997 as a compensatory alternative for unavoidable wetland losses. Prior to restoration activities, 16 sites included in the project were surveyed for the SRS Site Use system to serve as a protective covenant. Pre-restoration monitoring ended in Fall 2000, and post restoration monitoring began in the Winter/Spring of 2001. The total interior harvest in the 16 bays after harvesting the trees was 19.6 ha. The margins in the opencanopy, pine savanna margin treatments were thinned. Margins containing areas with immature forested stands (bay 5184 and portions of bay 5011) were thinned using a mechanical shredder in November 2001. Over 126 hectares were included in the study areas (interior + margin). Planting of two tree species and the transplanting of wetland grass species was successful. From field surveys, it was estimated that approximately 2700 Nyssa sylvatica and 1900 Taxodium distichum seedlings were planted in the eight forested bays resulting in an average planting density of ? 490 stems ha-1. One hundred seedlings of each species per bay (where available) were marked to evaluate survivability and growth. Wetland grass species were transplanted from donor sites on SRS to plots that ranged in size from 100 300 m2, depending on wetland size. On 0.75 and 0.6 meter centers, respectively, 2198 plugs of Panicum hemitomon and 3021 plugs Leersia hexandra were transplanted. New shoots originating from the stumps were treated with a foliar herbicide (Garlon 4) during the summer of 2001 using backpack sprayers. Preliminary information from 2000-2004 regarding the hydrologic, vegetation and faunal response to restoration is presented in this status report.

Barton, Christopher

2007-12-15T23:59:59.000Z

194

SODAR DATA FROM OYSTER BAY AT WINYAH BAY NATIONAL ESTUARINE RESEARCH RESERVE  

SciTech Connect

The SecondWind Triton is a SODAR (SOnic Detection And Ranging) sonic wind profiler (Triton sodar) system capable of profiling the wind characteristics up to 200m above the instrument. SODAR systems transmit acoustic chirps into the atmosphere and measure the backscattered signal returned to the device. The primary source of acoustic scattering is variations in air temperature, which cause changes in the refractive index of sound. By measuring the Doppler?shifted frequency of these returned signals, the Triton can calculate the winds speed and direction for the volume of air above the instrument, measured at ten fixed heights, known as station heights. The Triton is specifically designed for the purpose of wind energy resource assessment as it can remotely capture wind data at heights above ground where wind turbine rotors operate. The measurements made include horizontal wind speed and direction, vertical wind speed, and turbulence. Other integrated sensors provide time and location via GPS, barometric pressure, humidity, and the tilt of the instrument. The study area is located east of Georgetown, South Carolina in North Inlet ? Winyah Bay National Estuarine Research Reserve. The monitoring period for data in this report begins 5/14/2009 9:30:00 AM EST and ends 8/2/2010 11:40:00 AM EST.

Nichols, R.; Kohn, J.; Rigas, N.; Boessneck, E.; Kress, E.; Gayes, P.

2013-04-29T23:59:59.000Z

195

Lakes by the Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

the Bay, Florida: Energy Resources the Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.5723287°, -80.3253308° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.5723287,"lon":-80.3253308,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

196

Suttons Bay, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Suttons Bay, Michigan: Energy Resources Suttons Bay, Michigan: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9766663°, -85.6506387° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9766663,"lon":-85.6506387,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

197

Half Moon Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bay, California: Energy Resources Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.4635519°, -122.4285862° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.4635519,"lon":-122.4285862,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

198

MHK Projects/Whiskey Bay | Open Energy Information  

Open Energy Info (EERE)

Whiskey Bay Whiskey Bay < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.4014,"lon":-91.6961,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

199

Discovery Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Discovery Bay, California: Energy Resources Discovery Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 37.9085357°, -121.6002291° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.9085357,"lon":-121.6002291,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

200

Morro Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Morro Bay, California: Energy Resources Morro Bay, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 35.3658075°, -120.8499013° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":35.3658075,"lon":-120.8499013,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron  

NLE Websites -- All DOE Office Websites (Extended Search)

Science Highlights » 2013 Science Highlights » 2013 » The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos High Energy Physics (HEP) HEP Home About Research Facilities Science Highlights Benefits of HEP Funding Opportunities Advisory Committees News & Resources Contact Information High Energy Physics U.S. Department of Energy SC-25/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-3624 F: (301) 903-2597 E: sc.hep@science.doe.gov More Information » June 2013 The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron Neutrinos Turn into Muon Neutrinos Surprisingly large effect greatly increases the probability that new neutrino experiments will be able to see the differences between matter and

202

Kawela Bay, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Kawela Bay, Hawaii: Energy Resources Kawela Bay, Hawaii: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 21.7033333°, -158.01° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":21.7033333,"lon":-158.01,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

203

Put-in-Bay, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Put-in-Bay, Ohio: Energy Resources Put-in-Bay, Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.6542158°, -82.8207429° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.6542158,"lon":-82.8207429,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

204

Cutler Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Cutler Bay, Florida: Energy Resources Cutler Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.5783°, -80.3377° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.5783,"lon":-80.3377,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

205

MHK Projects/Swansea Bay | Open Energy Information  

Open Energy Info (EERE)

Swansea Bay Swansea Bay < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":51.5818,"lon":-3.89843,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

206

Runaway Bay, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Runaway Bay, Texas: Energy Resources Runaway Bay, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 33.1678941°, -97.8783696° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":33.1678941,"lon":-97.8783696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

207

Tonka Bay, Minnesota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Tonka Bay, Minnesota: Energy Resources Tonka Bay, Minnesota: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 44.9085741°, -93.5930133° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.9085741,"lon":-93.5930133,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

208

Hampton Bays, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Hampton Bays, New York: Energy Resources Hampton Bays, New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.8689892°, -72.5175893° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.8689892,"lon":-72.5175893,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

209

South Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bay, Florida: Energy Resources Bay, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 26.6639559°, -80.7161701° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.6639559,"lon":-80.7161701,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

210

Nassau Bay, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Nassau Bay, Texas: Energy Resources Nassau Bay, Texas: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 29.5446753°, -95.0910413° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":29.5446753,"lon":-95.0910413,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

211

Microsoft Word - Green Bay Notes - FINAL.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

(DOE) (DOE) TRANSPORTATION EXTERNAL COORDINATION (TEC) WORKING GROUP MEETING September 13-14, 2006 Green Bay, WI Welcome and Meeting Overview The U.S. Department of Energy (DOE), Transportation External Coordination Working Group (TEC) held its 26 th meeting on September 13-14, 2006, in Green Bay, WI. One- hundred thirty-two participants, representing national, State, Tribal, and local government; industry; professional organizations; and other interested parties, met to address a variety of issues related to DOE's radioactive materials transportation activities. The TEC process includes the involvement of these key stakeholders in developing solutions to DOE transportation issues through their actual participation in the work product. These members provide continuing and improved coordination between DOE,

212

Buzzards Bay, Massachusetts: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Buzzards Bay, Massachusetts: Energy Resources Buzzards Bay, Massachusetts: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.7453829°, -70.618087° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.7453829,"lon":-70.618087,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

213

Microsoft Word - P-12711 Cobscook Bay Project EA.doc  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

ENVIRONMENTAL ASSESSMENT ENVIRONMENTAL ASSESSMENT FOR HYDROPOWER PROJECT PILOT LICENSE Cobscook Bay Tidal Energy Project-FERC Project No. 12711-005 (DOE/EA1916) Maine Federal Energy Regulatory Commission Office of Energy Projects Division of Hydropower Licensing 888 First Street, NE Washington, DC 20426 U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Golden Field Office 1617 Cole Boulevard Golden, Colorado 80401 January 2012 i TABLE OF CONTENTS LIST OF FIGURES ............................................................................................................ iv LIST OF TABLES............................................................................................................... v EXECUTIVE SUMMARY ................................................................................................

214

Bay Marchand revisited (again): Field development using the latest technology  

SciTech Connect

Low-risk well recompletion and side-track opportunities are identified within the Bay Marchand-Timbalier Bay salt complex using 3D depth migration and multi-dimensional reservoir characterization technology. In 1992 Neomar Resources hit pay zones in 12 out of 14 wells located over amplitude anomalies ({open_quotes}bright spots{close_quotes}) in a proprietary 3D survey covering all or part of Bay Marchand Block 1-5. Production from several of these wells has been disappointing, however, and problems with structural position, trap integrity, and reservoir continuity are not obvious in the 3D time migrated data. Zydeco Exploration has obtained a license and has re-processed the Bay Marchand seismic survey in-house using interactive 3D velocity analysis and 3D pre-stack and post-stack depth migration. The new data reveal systematic changes in the positions of faults and smaller reservoirs that account for structural problems, such as missed objectives, and premature pressure depletion in several of the wells. Interpretation of the depth migrated data, seismic attribute analysis of 12 Miocene reservoirs, and multi-dimensional visual correlation and geo-statistical analysis between seismic attributes and log petrophysical data yields a reliable reservoir quality classification scheme within the 3D survey area. Reservoir classification color schemes overlain on their respective horizon surfaces in the presence of fault planes and salt surfaces in a dynamic 3D display reveals reservoir continuity or trap integrity problems which account for disappointing production in several of the wells. Surface enhancement techniques highlight subtle lineations that may also indicate reservoir compartmentalization. Improved structural imaging and reservoir characterization provide more than 20-20 hindsight. We have identified several relatively low-risk recompletions, sidetrack opportunities and proposed well locations.

McTigue, J.W. Jr.; Knecht, S.W.

1995-12-31T23:59:59.000Z

215

Atmospheric deposition of organochlorine contaminants to Galveston Bay, Texas  

Science Journals Connector (OSTI)

Atmospheric monitoring of \\{PCBs\\} and chlorinated pesticides (e.g., HCHs, chlordanes, and DDTs) in Galveston Bay was conducted at Seabrook, Texas. Air and wet deposition samples were collected from 2 February 1995 and continued through 6 August 1996. Vapor total PCB (tPCB) concentrations in air ranged from 0.21 to 4.78ngm?3 with a dominance of tri-chlorinated PCBs. Dissolved tPCBs in rain ranged from 0.08 to 3.34ngl?1, with tetra-chlorinated \\{PCBs\\} predominating. The predominant isomers found in air and rain were ?- and ?-HCH, ?- and ?-chlordanes, 4,4?-DDT, and dieldrin. The concentrations of \\{PCBs\\} and pesticides in the air and rain revealed no clear seasonal trend. Elevated levels of \\{PCBs\\} in the air occurred when temperatures were high and wind came from urban and industrialized areas (S, SW, NW, and W of the site). Concentrations of \\{HCHs\\} were elevated in April, May, and October, perhaps due to local and/or regional applications of ?-HCH (lindane). Other pesticides showed no notable temporal variation. When winds originated from the Gulf of Mexico (southeasterly), lower concentrations of organochlorines were detected in the air. The direct deposition rate (wet+dry) of \\{PCBs\\} to Galveston Bay (6.40?gm?2yr?1) was significantly higher than that of pesticides by a factor of 510. The net flux from gas exchange estimated for \\{PCBs\\} was from Galveston Bay water to the atmosphere (78?gm?2yr?1). Gas exchange of \\{PCBs\\} from bay water to the atmosphere was the dominant flux.

June-Soo Park; Terry L Wade; Stephen Sweet

2001-01-01T23:59:59.000Z

216

Tampa Bay Designated as the Newest Clean Cities Coalition  

Office of Energy Efficiency and Renewable Energy (EERE)

This week, Clean Cities welcomed another major partner in the effort to reduce our nations dependence on petroleum the brand-new Tampa Bay Clean Cities Coalition. Through its network of nearly 100 coalitions across the country, the Energy Departments Clean Cities program brings together stakeholders to increase the use of alternative fuel and advanced technology vehicles, reduce idling, and improve fuel economy.

217

Bailey Bay Hot Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Bailey Bay Hot Springs Geothermal Area Bailey Bay Hot Springs Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Bailey Bay Hot Springs Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.982,"lon":-131.6622,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

218

Near Fish Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Near Fish Bay Geothermal Area Near Fish Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Near Fish Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":57.3509833,"lon":-135.4106696,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

219

Cold Bay Hot Spring Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Cold Bay Hot Spring Geothermal Area Cold Bay Hot Spring Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Cold Bay Hot Spring Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":55.2217,"lon":-162.412,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

220

Weighting and Bayes Nets for Rollup of Surveillance Metrics  

SciTech Connect

The LANL IKE team proposes that the surveillance metrics for several data stream that are used to detect the same failure mode be weighted. Similarly, the failure mode metrics are weighted to obtain a subsystem metric. E.g., if there n data streams (nodes 1-n), the failure mode (node 0) metric is obtained as M{sub 0} = w{sub 1}M{sub 1} + {hor_ellipsis} + w{sub n}M{sub n}, where {Sigma}{sub i=1}{sup n} w{sub i} = 1. This proposal has been implemented with Bayes Nets using the Netica/IKE software by specifying an appropriate conditional probability table (CPT). This CPT is calculated using the same form as (1), where the data stream metrics for the true (T) and false (F) states are replaced by 1 and 0, respectively. Then using this CPT, the failure mode metric calculated by Netica/IKE equals (1). This result has two nice features. First, the rollup Bayes nets is doing can be easily explained. Second, because Bayes Nets can implement this rollup using Netica/IKE, then data marshalling (allocating next year's budget) can be studied. A proof that the claim 'failure mode metric calculated by Netica/IKE equals (1)' for n = 2 and n = 3 follows as well as the sketch of a proof by induction for general n.

Henson, Kriste [Los Alamos National Laboratory; Sentz, Kari [Los Alamos National Laboratory; Hamada, Michael [Los Alamos National Laboratory

2012-04-30T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Hot Springs Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

Hot Springs Bay Geothermal Area Hot Springs Bay Geothermal Area Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Resource Area: Hot Springs Bay Geothermal Area Contents 1 Area Overview 2 History and Infrastructure 3 Regulatory and Environmental Issues 4 Exploration History 5 Well Field Description 6 Geology of the Area 7 Geofluid Geochemistry 8 NEPA-Related Analyses (0) 9 Exploration Activities (0) 10 References Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"TERRAIN","zoom":6,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"300px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":54.166666,"lon":-165.82,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

222

A study of activity characteristics and patterns of sailing from Galveston Bay marinas  

E-Print Network (OSTI)

A STUDY OF ACTIVITY CHARACTERISTICS AND PATTERNS OF SAILING FROM GALVESTON BAY MARINAS A Thesis by RICHARD NATHAN JARMAN Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requi. rement for the degree..., this study focused on sailing which originated from marinas located in the Galveston Bay area. Marinas that provide access to Galveston Bay and adjacent coastal waters contain a major concentration of the sailboats berthed in Texas coastal marinas...

Jarman, Richard Nathan

2012-06-07T23:59:59.000Z

223

Mitigating the Social and Environmental Impacts of Multimodal Freight Corridor Operations at Southern California Ports  

E-Print Network (OSTI)

at Southern California Ports. Presented at the 11 th WorldFreeway approaching the ports Figure 2. Overviews of Studyat Southern California Ports ABSTRACT The San Pedro Bay

Recker, Will W

2008-01-01T23:59:59.000Z

224

The hunt for theta13 at the Daya Bay nuclear power plant  

E-Print Network (OSTI)

The Daya Bay reactor neutrino experiment is located at the Daya Bay nuclear power plant in Shenzhen, China. The experiment deploys eight "identical" antineutrino detectors to measure antineutrino fluxes from six 2.9 GW_{th} reactor cores in three underground experimental halls at different distances. The target zone of the Daya Bay detector is filled with 20 t 0.1% Gd doped LAB liquid scintillator. The baseline uncorrelated detector uncertainty is ~0.38% using current experimental techniques. Daya Bay can reach a sensitivity of <0.01 to $sin^2 2theta_{13}$ with baseline uncertainties after 3 years of data taking.

Wei Wang; for the Daya Bay collaboration

2009-10-23T23:59:59.000Z

225

E-Print Network 3.0 - andreyev bay naval Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

at the exact location (inside the bay) where the naval operations take place... . Armstrong, 2004. Prediction of instantaneous currents in San Diego ... Source: Chu, Peter C. -...

226

Object Oriented Safety Analysis of an Extra High Voltage Substation Bay  

Science Journals Connector (OSTI)

Experiences of application of the object oriented approach to safety analysis of an extra high voltage substation bay are presented. As the first step...

Bartosz Nowicki; Janusz Grski

1998-01-01T23:59:59.000Z

227

E-Print Network 3.0 - admiralty bay king Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Ryde Drummoyne Parramatta Epping Carlingford Macquarie Homebush Bay Strathfield Sydney Kings Cross... Frenchs Forest Brookvale The Spit Manly Chatswood Lane Cove Watsons...

228

Key Neutrino behavior observed at Daya Bay (The College of William...  

NLE Websites -- All DOE Office Websites (Extended Search)

wm.edunewsstories2012key-neutrino-behavior-observed-at-daya-bay-123.php Submitted: Thursday, March 8, 2012 - 12:00am...

229

Assessing the Exposure of Fish to a Petroleum Spill in Galveston Bay, Texas  

Science Journals Connector (OSTI)

On July 28, 1990 nearly 700,000 gallons of a petroleum product were spilled in Galveston Bay, Texas. The exposure of fish to polynuclear aromatic...

S. J. McDonald; T. L. Wade; J. M. Brooks

1991-01-01T23:59:59.000Z

230

The hunt for theta13 at the Daya Bay nuclear power plant  

E-Print Network (OSTI)

The Daya Bay reactor neutrino experiment is located at the Daya Bay nuclear power plant in Shenzhen, China. The experiment deploys eight "identical" antineutrino detectors to measure antineutrino fluxes from six 2.9 GW_{th} reactor cores in three underground experimental halls at different distances. The target zone of the Daya Bay detector is filled with 20 t 0.1% Gd doped LAB liquid scintillator. The baseline uncorrelated detector uncertainty is ~0.38% using current experimental techniques. Daya Bay can reach a sensitivity of <0.01 to $sin^2 2theta_{13}$ with baseline uncertainties after 3 years of data taking.

Wang, Wei

2009-01-01T23:59:59.000Z

231

Chedabucto Bay 1992 shoreline oil conditions survey: Long-term fate of bunker C oil from the arrow spill in Chedabucto Bay, Nova Scotia  

SciTech Connect

The report presents a description of the activities related to and a summary of the information generated by a field survey carried out in Chedabucto Bay, Nova Scotia, for Environment Canada from June to September 1992. The objective of the survey was to locate and document any residual oil on the shores of Chedabucto Bay. The grounding of the tanker Arrow in February 1970 resulted in the release of more than 11 million liters of Bunker C fuel oil. This oil was stranded over an estimated 305 km of shoreline in the Chedabucto Bay area.

Owens, E.H.; McGuire, B.E.; Humphrey, B.

1994-03-01T23:59:59.000Z

232

The role of organic carbon, iron, and aluminium oxyhydroxides as trace metal carriers: Comparison between the Trinity River and the Trinity River Estuary (Galveston Bay, Texas)  

Science Journals Connector (OSTI)

Concentrations of many trace elements in aquatic systems can become enriched due to anthropogenic as well as natural processes. In order to investigate particle enrichment processes from the river through an estuary, the changes in solid phase speciation and particlewater partitioning of a number of trace metals (e.g., Fe, Pb, Cd, Cu, Ni, Zn, Co, V) were evaluated from the Trinity River through Galveston Bay to the Ocean. An established way to detect anthropogenic contamination is by normalization of contaminant concentrations to Fe, Al, and/or organic carbon (OC). Particulate metal (Mn, Co, Ni, Cu, Pb, V, Ni, Zn, Cd) to Fe, Al, and metal to OC ratios were determined in waters of the Trinity River and Galveston Bay, in order to test 1) if the system is contaminated, and 2) whether Fe, Al, or organic carbon act as a master variable for determining metal concentrations. All particulate trace metals from Trinity River were present in ratios to Fe or Al similar to those from drainage basin soils, which were similar to world world-average soil. As expected, concentrations of Fe, Al and OC in particles from both the Trinity River as well as Galveston Bay were strongly correlated, from which one might conclude that Fe can be used as a reference element that is representative for all three of them. However, ratios to Fe of particle-reactive elements, such as Pb, were found to be significantly and positively correlated to the Fe content of particles from Galveston Bay, while nutrient-type elements, such as Cu, Ni, and Cd, were negatively correlated to their Fe content. Interestingly, suspended particles from the Trinity River did not exhibit any such correlations at all and only varied within a very limited range. The reason for such distinctive correlative behavior that distinguishes riverine from estuarine particles is likely caused by internal cycling of these elements within Galveston Bay, and their relationship to OC. Relationships of trace metals to OC revealed that differences in sources and cycling of OC in the estuary significantly altered the soil imprinted particle make-up. Results from selective leaching experiments of suspended particles in Galveston Bay confirmed the selective enrichment and fractionation processes for the different metals.

Liang-Saw Wen; Kent W. Warnken; Peter H. Santschi

2008-01-01T23:59:59.000Z

233

CX-003626: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3626: Categorical Exclusion Determination 3626: Categorical Exclusion Determination CX-003626: Categorical Exclusion Determination Swapping Substation Bay Terminals of Bonneville Power Administration?s (BPA) White Bluffs-Richland Number 1 and Department of Energy B3-S4-White Bluffs Number 1 Transmission Lines CX(s) Applied: B1.3 Date: 08/09/2010 Location(s): Benton County, Washington Office(s): Bonneville Power Administration Bonneville Power Administration (BPA) has a need to replace/modify wood pole structures in order to swap the substation bay terminations of BPA?s White Bluffs-Richland Number 1 and the Department of Energy (DOE) B3 S4-White Bluffs Number 1 transmission lines. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-003626.pdf More Documents & Publications CX-005673: Categorical Exclusion Determination

234

CX-005563: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

563: Categorical Exclusion Determination 563: Categorical Exclusion Determination CX-005563: Categorical Exclusion Determination Michigan-Tribal Energy Program-Keweenaw Bay Indian Community CX(s) Applied: A9, A11, B3.1 Date: 04/04/2011 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy The Keweenaw Bay Indian Community (KBIC) proposes to study the feasibility of wind power at two locations for the purpose of reducing the Tribe?s reliance upon fossil fuels, and this proposed project would also create business opportunities, jobs, and revenue for the community. A consulting firm would be hired to monitor wind capacity and determine the optimal size and design of wind turbines. Another firm would analyze the amount of energy being consumed, how best to covert to renewable energy, and project

235

Categorical Exclusion Determinations: Office of Energy Efficiency and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

27, 2010 27, 2010 CX-004312: Categorical Exclusion Determination Alaska-Tribe-Native Village of Scammon Bay CX(s) Applied: A9, A11, B2.5, B5.1 Date: 10/27/2010 Location(s): Scammon Bay, Alaska Office(s): Energy Efficiency and Renewable Energy October 26, 2010 CX-004347: Categorical Exclusion Determination Solar Energy for the North CX(s) Applied: A9, B5.1 Date: 10/26/2010 Location(s): Presque Isle, Maine Office(s): Energy Efficiency and Renewable Energy, Golden Field Office October 26, 2010 CX-004345: Categorical Exclusion Determination Fire Safe and Energy Independent Communities CX(s) Applied: A9, B5.1 Date: 10/26/2010 Location(s): San Diego, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office October 26, 2010 CX-004323: Categorical Exclusion Determination

236

Categorical Exclusion Determinations: Office of Energy Efficiency and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6, 2011 6, 2011 CX-005698: Categorical Exclusion Determination California-City-Alhambra CX(s) Applied: A9, B2.5, B5.1 Date: 04/06/2011 Location(s): Alhambra, California Office(s): Energy Efficiency and Renewable Energy April 6, 2011 CX-005561: Categorical Exclusion Determination Underwater Active Acoustic Monitoring Support for Marine Hydrokinetic Energy Projects CX(s) Applied: A9, B3.6 Date: 04/06/2011 Location(s): New Hampshire Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 5, 2011 CX-005709: Categorical Exclusion Determination Florida-City-Palm Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 04/05/2011 Location(s): Palm Bay, Florida Office(s): Energy Efficiency and Renewable Energy April 5, 2011 CX-005567: Categorical Exclusion Determination

237

CX-003544: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3544: Categorical Exclusion Determination 3544: Categorical Exclusion Determination CX-003544: Categorical Exclusion Determination Environmental Impact Protocols for Tidal Power CX(s) Applied: A9, B3.1, B3.3, B3.6 Date: 08/23/2010 Location(s): Cobscook Bay, Maine Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Maine Tidal Power Initiative would develop baseline resource and environmental data for the Cobscook Bay and Western Passage in Maine to evaluate the approach for future tidal power applications. A Department of Energy (DOE) determination was completed June 15, 2010 authorizing the majority of this project. At this time, the DOE is now re-evaluating net sampling for fish into 2011 (Task 2). DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-003544.pdf More Documents & Publications

238

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8, 2010 8, 2010 CX-003007: Categorical Exclusion Determination Florida-City-Tamarac CX(s) Applied: A9, A11, B5.1 Date: 07/08/2010 Location(s): Tamarac, Florida Office(s): Energy Efficiency and Renewable Energy July 8, 2010 CX-003000: Categorical Exclusion Determination Alaska-Tribe-Native Village of Chenega Bay CX(s) Applied: B2.5, B5.1 Date: 07/08/2010 Location(s): Chenega Bay, Alaska Office(s): Energy Efficiency and Renewable Energy July 8, 2010 CX-002975: Categorical Exclusion Determination Minot State University Geothermal Heating Project CX(s) Applied: B5.1 Date: 07/08/2010 Location(s): Minot, North Dakota Office(s): Energy Efficiency and Renewable Energy, Golden Field Office July 8, 2010 CX-002968: Categorical Exclusion Determination Clean Energy Advanced Manufacturing Phase 2 - URV USA

239

CX-000014: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4: Categorical Exclusion Determination 4: Categorical Exclusion Determination CX-000014: Categorical Exclusion Determination Olympia Substation Bay Addition CX(s) Applied: B4.6 Date: 12/03/2009 Location(s): Thurston County,Washington Office(s): Bonneville Power Administration Puget Sound Energy (PSE) has requested a new 115-kilovolt Point of Delivery from Bonneville Power Administration's (BPA) Olympia Substation. In order to accommodate this request, BPA will construct a new bay, including a circuit breaker and disconnect switches, within the Olympia Substation and terminate the last span of PSE's 115-kilovolt line segment at a dead end structure within the substation. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000014.pdf More Documents & Publications CX-000607: Categorical Exclusion Determination

240

Categorical Exclusion Determinations: B5.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8, 2010 8, 2010 CX-003007: Categorical Exclusion Determination Florida-City-Tamarac CX(s) Applied: A9, A11, B5.1 Date: 07/08/2010 Location(s): Tamarac, Florida Office(s): Energy Efficiency and Renewable Energy July 8, 2010 CX-003000: Categorical Exclusion Determination Alaska-Tribe-Native Village of Chenega Bay CX(s) Applied: B2.5, B5.1 Date: 07/08/2010 Location(s): Chenega Bay, Alaska Office(s): Energy Efficiency and Renewable Energy July 8, 2010 CX-002975: Categorical Exclusion Determination Minot State University Geothermal Heating Project CX(s) Applied: B5.1 Date: 07/08/2010 Location(s): Minot, North Dakota Office(s): Energy Efficiency and Renewable Energy, Golden Field Office July 8, 2010 CX-002968: Categorical Exclusion Determination Clean Energy Advanced Manufacturing Phase 2 - URV USA

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

MODELING PHYTOPLANKTON ABUNDANCE IN SAGINAW BAY, LAKE HURON: USING ARTIFICIAL NEURAL NETWORKS TO DISCERN FUNCTIONAL INFLUENCE  

E-Print Network (OSTI)

MODELING PHYTOPLANKTON ABUNDANCE IN SAGINAW BAY, LAKE HURON: USING ARTIFICIAL NEURAL NETWORKS; phytoplankton Abbreviations: ANN, artificial neural network; Cl? , chloride; DOC, dissolved organic carbon; Kd Phytoplankton abundance, as chl a, in Saginaw Bay, Lake Huron was modeled using arti- ficial neural networks

242

COVER PHOTOGRAPH COVER PHOTOGRAPH: SAN FRANCISCO BAY, CALIFORNIA, U.S.A.  

E-Print Network (OSTI)

of the giant sand wave field at the mouth of San Francisco Bay, just seaward of the Golden Gate Bridge exaggeration. The Golden Gate Bridge is approximately 2 km long (1.2 mi). The bathymetry inside the bay is from Dartnell and Gardner (1999). Golden Gate Bridge model courtesy of Interactive Visualization Systems

243

Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay  

E-Print Network (OSTI)

Time Series Measurements of Temperature, Current Velocity, and Sediment Resuspension in Saginaw Bay and verification. These measurements will be made as part of this project. Measurements of sediment resuspension sediment resuspension in the bay during the spring. Measurements of sediment resuspension are important

244

Sediment Quality Triad Assessment in Kachemak Bay: Characterization of Soft Bottom Benthic Habitats and  

E-Print Network (OSTI)

Sediment Quality Triad Assessment in Kachemak Bay: Characterization of Soft Bottom Benthic Habitats. Sediment Quality Triad Assessment in Kachemak Bay: Characterization of Soft Bottom Benthic Habitats and Contaminant Bioeffects Assessment. NOAA Technical Memorandum NOS NCCOS 104. 170pp. #12;iii Sediment Quality

245

The Commercial Bait Shrimp Fishery in Galveston Bay, Texas, 1959-87  

E-Print Network (OSTI)

The Commercial Bait Shrimp Fishery in Galveston Bay, Texas, 1959-87 KENNETH N. BAXTER, CARLTON H-_---.J~_ ___'__ __'__ __'__ 10 gO ___' Figure I.-Galveston Bay bait index versus Texas offshore actual catch, 1960-1986. Marine, especially in Florida and Texas (De Sylva, 1954; Woodburn et al., 1957; Chin, 1960; Saloman, 1965; Inglis

246

Effects of Marsh Terracing on Nekton Abundance at Two Locations in Galveston Bay, Texas  

E-Print Network (OSTI)

ARTICLE Effects of Marsh Terracing on Nekton Abundance at Two Locations in Galveston Bay, Texas Joy Bay, Texas were constructed June to October 1999 at Galveston Island State Park (GI) and Pierce Marsh evaluated two marsh terracing restoration projects (GI=Galveston Island State Park, PM=Pierce Marsh

247

Nekton of New Seagrass Habitats Colonizing a Subsided Salt Marsh in Galveston Bay, Texas  

E-Print Network (OSTI)

Nekton of New Seagrass Habitats Colonizing a Subsided Salt Marsh in Galveston Bay, Texas SETH P at Galveston Island State Park, Texas, created new areas of subtidal habitat that were colonized by seagrasses loss of fisheries production (Zimmerman et al. 1991). Galveston Bay is the second largest coastal

248

Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal  

E-Print Network (OSTI)

i Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal Marshes Refuge in northern San Francisco Bay, California. #12;iii Final Report for Sea-level Rise Response)................................................................... 7 Sea-level rise scenario model inputs

Fleskes, Joe

249

Analysis of relative sea level variations and trends in the Chesapeake Bay: Is there evidence for  

E-Print Network (OSTI)

for acceleration in sea level rise? Tal Ezer and William Bryce Corlett Center for Coastal Physical Oceanography Old decades the pace of relative sea level rise (SLR) in the Chesapeake Bay (CB) has been 2-3 times faster--Chesapeake Bay, sea level rise, coastal inundation, tide gauge data, climate change. I. INTRODUCTION Water level

Ezer,Tal

250

Results of the first two seasons of underwater surveys at Episkopi Bay and Akrotiri, Cyprus  

E-Print Network (OSTI)

.......... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 2.3 Coastal plain below Kourion looking east ....................................................... 36 2.4 Tunnel at Number Three Bay looking southwest......... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39... .......... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 2.3 Coastal plain below Kourion looking east ....................................................... 36 2.4 Tunnel at Number Three Bay looking southwest......... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39...

Leidwanger, Justin Ryan

2009-05-15T23:59:59.000Z

251

Impact of glider data assimilation on the Monterey Bay model Igor Shulman a,, Clark Rowley a  

E-Print Network (OSTI)

in the Autonomous Ocean Sampling Network (AOSN-II) experiment in the Monterey Bay area during summer of 2003 the relaxation of wind, the data assimilative run has higher value of subsurface velocity complex correlation in the Autonomous Ocean Sampling Network (AOSN-II) experiment in the Monterey Bay area during August­September 2003

Fratantoni, David

252

Independent External Peer Review Report Green Bay 20 June 2011 ii  

E-Print Network (OSTI)

#12;Independent External Peer Review Report ­ Green Bay 20 June 2011 ii Table of Contents List for Peer Review Panel 6 3.4 Performing the IEPR 7 3.5 Preparation of Comments and Panel Consensus Process 4 Figure 3. IEPR Team 9 #12;Independent External Peer Review Report ­ Green Bay 20 June 2011 iii

US Army Corps of Engineers

253

Wastewater Discharge, Nutrient Loading, and Dissolved Oxygen Dynamics in a Shallow Texas Bay  

E-Print Network (OSTI)

In Oso Bay, a wastewater treatment plant acts as a source of eutrophication and may have measureable impact on the health of the bay. The objectives of this study were to create a model for modeling dissolved oxygen concentrations over time...

Schroer, Lee Allen

2014-05-07T23:59:59.000Z

254

The Catalytic Chemistry of HCN+NO over Na- and Ba-Y, FAU: An...  

NLE Websites -- All DOE Office Websites (Extended Search)

The Catalytic Chemistry of HCN+NO over Na- and Ba-Y, FAU: An In Situ FTIR and TPDTPR Study. The Catalytic Chemistry of HCN+NO over Na- and Ba-Y, FAU: An In Situ FTIR and TPDTPR...

255

Hyperbolic Dirac Nets for medical decision support. Theory, methods, and comparison with Bayes Nets  

Science Journals Connector (OSTI)

We recently introduced the concept of a Hyperbolic Dirac Net (HDN) for medical inference on the grounds that, while the traditional Bayes Net (BN) is popular in medicine, it is not suited to that domain: there are many interdependencies such that any ... Keywords: Bayes Net, Complex, Decision support system, Dirac, Expert system, Hyperbolic, Hyperbolic Dirac Net, Medical inference

Barry Robson

2014-08-01T23:59:59.000Z

256

Sedimentary parameters of lower Barataria Bay, Jefferson Parish, Louisiana  

E-Print Network (OSTI)

, is located between the Grand T'erre Islands, three miles to the east of Barataria Pass. It is narrow and has a depth of only 13 feet. Another manor pass, Pass Justin, located half a mile to the east of Pass Abel was tn existence during the previous studies... and the Grand Terre Islands is presently retreating at a rate of 15 to 25 feet per year according to this study, Similar Bays' a)ong the Gulf Coast F. P. Shepard (1953) noted that subsidence along the Texas Gulf Coast is occurring at a rate of approximately...

Frazier, David E

2012-06-07T23:59:59.000Z

257

Meter-baseline tests of sterile neutrinos at Daya Bay  

E-Print Network (OSTI)

We explore the sensitivity of an experiment at the Daya Bay site, with a point radioactive source and a few meter baseline, to neutrino oscillations involving one or more eV mass sterile neutrinos. We find that within a year, the entire 3+2 and 1+3+1 parameter space preferred by global fits can be excluded at the 3\\sigma level, and if an oscillation signal is found, the 3+1 and 3+2 scenarios can be distinguished from each other at more than the 3\\sigma level provided one of the sterile neutrinos is lighter than 0.5 eV.

Y. Gao; D. Marfatia

2013-05-07T23:59:59.000Z

258

Frequentist-Bayes Goodness-of-fit Tests  

E-Print Network (OSTI)

;?)), ? ? B, j = 1, 2, ..., where F (;?) is the cumulative distribution function corresponding to f(;?). Define, for j = 1, 2, ..., the class of densities Fj by Fj = {fj(;?, ?j) : ? ? B,?? < ?j < ?}, 12 where fj(x;?, ?j) = C(?, ?j) exp...(?j?j(x;?))f(x;?), (2.3) and C(?, ?j) is a positive constant ensuring that fj integrates to 1. Our test statistics are approximations to the posterior probability of H0 assuming that the true density is in one of the classes F0,F1, .... Using Bayes theorem: P (H0|x...

Wang, Qi

2012-10-19T23:59:59.000Z

259

Mixed carbonate-siliciclastic infilling of a Neogene carbonate shelf-valley system: Tampa Bay, West-Central Florida  

Science Journals Connector (OSTI)

The shelf-valley system underlying Tampa Bay, Floridas largest estuary, is situated in the middle of the Neogene carbonate Florida Platform. Compared to well-studied fluvially incised coastal plain valley systems, this shelf-valley system is unique in its karstic origin and its alternating carbonate-siliciclastic infill. A complex record of sea-level changes, paleo-fluvial variability and marine processes have controlled the timing and mechanisms of this compound shelf-valley infill. A dense grid of high-resolution, single-channel seismic data were collected at the mouth of Tampa Bay, in an attempt to define this stratigraphy, determine the controls on deposition, and define the underlying structure of this shelf-valley system. The seismic data were correlated with nearby wells and boreholes for lithologic and age control. Sequence stratigraphic methods were incorporated in order to develop an integrated chronostratigraphy for the depositional infilling of the shelf-valley system. Five seismic sequences were identified. Sequence boundaries generally show erosional truncation and karstification, with downlap of overlying sequences. Structure contour and isopach maps indicate that the Tampa Bay shelf-valley system has remained in essentially the same location since its formation in the early Miocene, although the provenance of sedimentary infill has changed. This change is due to increasing amounts of siliciclastic material during the Neogene. Seismic facies interpretations indicate lower-energy, northward prograding deposition dominated by predominantly carbonate sediments within the lowest Sequence A. Higher energy, siliciclastic fluvio-deltaic deposition within sequences B and C originates to the east and northeast of the shelf-valley system related to a Pliocene pulse of sedimentation onto the Florida Platform. Finally, marine processes (longshore transport, ebb-tidal delta formation) dominate the upper two sequences (D and E), reworking these siliciclastic sediments into a spatially mixed carbonate-siliciclastic depositional setting.

David S Duncan; Stanley D Locker; Gregg R Brooks; Albert C Hine; Larry J Doyle

2003-01-01T23:59:59.000Z

260

Historical contamination of Mississippi River Delta, Tampa Bay, and Galveston Bay sediments. National status and trends program for marine environmental quality: Technical memo (Final)  

SciTech Connect

In order to obtain sediment which has accumulated over the past 100 years or so, 50--80 cm long sediment cores were collected from the submarine Mississippi River Delta, Galveston Bay, Texas and Tampa Bay, Florida. The cores were extruded and sliced into 1 cm thick sections which were then radiometrically age dated and analyzed for those organic compounds and trace metals suspected of being contaminants in the sampling areas.

Presley, B.J.; Wade, T.L.; Santschi, P.; Baskaran, M.

1998-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Photo of the Week: The Daya Bay Antineutrino Detector | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Photo of the Week: The Daya Bay Antineutrino Detector Photo of the Week: The Daya Bay Antineutrino Detector Photo of the Week: The Daya Bay Antineutrino Detector September 7, 2012 - 3:07pm Addthis While they might look like drops of water or soap bubbles, these colorful figures are actually photomultiplier tubes that line the walls of the Daya Bay neutrino detector. Neutrinos and antineutrinos are neutral particles produced in nuclear beta decay when neutrons turn into protons. This experiment aims to measure the final unknown mixing angle that describes how neutrinos oscillate. The tubes are designed to amplify and record the faint flashes of light that signify an antineutrino interaction. Lawrence Berkeley and Brookhaven National Labs and a number of physicists at U.S. universities played leading roles in the Daya Bay experiment, from designing the detectors all the way through to analyzing the data gathered. | Photo by Roy Kaltschmidt, LBNL.

262

EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

16: Ocean Renewable Power Company Maine, LLC Cobscook Bay 16: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine Summary This EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions. Public Comment Opportunities None available at this time. Documents Available for Download March 19, 2012 EA-1916: Finding of No Significant Impact Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot

263

Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Researchers at Oak Ridge National Lab have a developed "fingerprints" to match the results of experiments with data from supercomputer

264

Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2.24.2011]: Dynamical Fingerprints and Daya Bay 2.24.2011]: Dynamical Fingerprints and Daya Bay Geek-Up[2.24.2011]: Dynamical Fingerprints and Daya Bay February 25, 2011 - 4:37pm Addthis Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Nuclear power plants like the twin Daya Bay reactors, yield large amounts of electron antineutrinos -- millions of quadrillions of them every second. | Photo Courtesy of Roy Kaltschmidt, Lawrence Berkeley National Laboratory Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Researchers at Oak Ridge National Lab have a developed "fingerprints" to match the results of experiments with data from supercomputer

265

EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay 1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine Summary This EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions. Public Comment Opportunities None available at this time. Documents Available for Download March 19, 2012 EA-1916: Finding of No Significant Impact Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot

266

Probing Non-Standard Interactions at Daya Bay  

E-Print Network (OSTI)

In this article we consider the presence of neutrino non-standard interactions (NSI) in the production and detection processes of reactor antineutrinos at the Daya Bay experiment. We report for the first time, the new constraints on the flavor non-universal and flavor universal charged-current NSI parameters, estimated using the currently released 621 days of Daya Bay data. New limits are placed assuming that the new physics effects are just inverse of each other in the production and detection processes. With this special choice of the NSI parameters, we observe a global shift in the oscillation amplitude without distorting the shape of the oscillation probability. This shift in the depth of the oscillation dip can be caused by the NSI parameters as well as by $\\theta_{13}$, making it quite difficult to disentangle the NSI effects from the standard oscillations. We explore the correlations between the NSI parameters and $\\theta_{13}$ that may lead to significant deviations in the reported value of the reacto...

Agarwalla, Sanjib Kumar; Forero, David V; Tortola, Mariam

2014-01-01T23:59:59.000Z

267

Speciation and cycling of mercury in Lavaca Bay, Texas, sediments  

SciTech Connect

Sediment depth profiles of total mercury (THg) and monomethylmercury (MMHg) were collected at 15 sites in an anthropogenically contaminated estuarine system (Lavaca Bay, TX). THg in the solid phase increased with depth to a maximum located at 10--30 cm, which corresponds to historic industrial discharges to the bay. MMHg in the solid phase was highest in the upper 0--3 cm of the cores, decreasing rapidly with depth. The MMHg content of the surface sediment was a narrowly constrained fraction of the total over a range of sediment types, while making up only 0.01--0.05% of THg at depth. Porewater concentrations exhibited trends similar to but more exaggerated than in the solid phase. The distribution coefficients (log K{sub d}) for inorganic Hg were similar in most samples, averaging 4.89 {+-} 0.43. The log K{sub d} for MMHg averaged 2.70 {+-} 0.78 over all sites and depths but exhibited a subsurface minimum of 2.29 {+-} 0.67 at the point of maximum dissolved Fe. A time series showed a maximum in both solid phase and porewater MMHg during the early spring, followed by a decrease throughout the remainder of the year.

Bloom, N.S. [Frontier Geosciences Inc., Seattle, WA (United States)] [Frontier Geosciences Inc., Seattle, WA (United States); Gill, G.A. [Texas A and M Univ., Galveston, TX (United States). Dept. of Oceanography] [Texas A and M Univ., Galveston, TX (United States). Dept. of Oceanography; Cappellino, S. [Parametrix Inc., Houston, TX (United States)] [Parametrix Inc., Houston, TX (United States); Dobbs, C.; Mcshea, L. [Aluminum Co. of America, Point Comfort, TX (United States)] [Aluminum Co. of America, Point Comfort, TX (United States); Driscoll, C. [Syracuse Univ., NY (United States). Dept. of Civil and Environmental Engineering] [Syracuse Univ., NY (United States). Dept. of Civil and Environmental Engineering; Mason, R. [Univ. of Maryland, Solomons, MD (United States). Chesapeake Bay Lab.] [Univ. of Maryland, Solomons, MD (United States). Chesapeake Bay Lab.; Rudd, J. [Freshwater Inst., Winnipeg, Manitoba (Canada). Dept. of Fisheries and Oceans] [Freshwater Inst., Winnipeg, Manitoba (Canada). Dept. of Fisheries and Oceans

1999-01-01T23:59:59.000Z

268

Implementation strategy for the Galveston Bay plan. Final report  

SciTech Connect

The Plan recommends 82 management actions to be carried out by 20 federal and stage agencies, over 100 local governments and special purpose districts, and other bay users. This report describes how Plan implementation will be led by a newly created Galveston Bay Program (GBP) of the Texas Natural Resource Conservation Commission (TNRCC) and outlines the major roles of other federal, state, and local governments, `stakeholders,` and the public. A summary table of agency responsibilities for each of The Plan`s actions is also included in this document. The report also identifies the possibly enforceable policies in each of The Plan`s actions, and cites the relevant federal and/or state statutory and regulatory basis for enforcement. Additional actions required (if any) to make the policies enforceable are also described. Based on the analysis of enforceable policies, necessary federal and state legislation, Memoranda of Understanding, and local ordinances are identified. The report concludes with a description of how implementation results will be tracked and evaluated.

Keller, R.L.; Masterson, C.E.; Mitchell, G.; Polasek, E.G.; Taebel, J.M.

1994-11-01T23:59:59.000Z

269

Categorical Exclusion Determinations: South Dakota | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

17, 2011 17, 2011 CX-005292: Categorical Exclusion Determination Lincoln County Energy Efficiency Retrofits CX(s) Applied: B2.2, B2.5, B5.1 Date: 02/17/2011 Location(s): Lincoln County, South Dakota Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004779: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association CX(s) Applied: A9, A11, B2.5, B5.1 Date: 12/20/2010 Location(s): Bristol Bay, South Dakota Office(s): Energy Efficiency and Renewable Energy October 21, 2010 CX-004297: Categorical Exclusion Determination Genetics, Breeding, Agronomy, and Pest Management of Cup Plant (Silphium perfoliatum), a Potential New Biomass Crop for the North Central United States CX(s) Applied: B3.6, B5.1 Date: 10/21/2010 Location(s): South Dakota

270

CX-007156: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7156: Categorical Exclusion Determination 7156: Categorical Exclusion Determination CX-007156: Categorical Exclusion Determination New Waddell-Raceway-Westwing Structure Replacement CX(s) Applied: B4.6, B4.13 Date: 03/11/2010 Location(s): Maricopa County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region Western plans to remove an existing three-pole turning structure (3/1 B) on the existing Raceway-Westwing 230-kilovolt (kV) Transmission Line, add a new replacement three-pole turning structure (also 3/1 B), and move equipment to a bay constructed by Arizona Public Service (APS) within the existing Raceway Substation in order to accommodate APS's new transmission line and substation equipment. APS intends to use the bay currently occupied by the Raceway-Westwing 230-kV Transmission Line for their new

271

CX-002000: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

000: Categorical Exclusion Determination 000: Categorical Exclusion Determination CX-002000: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant - Energy Efficiency Retrofits for Littauer Property Barn Complex CX(s) Applied: A9, A11, B5.1 Date: 04/28/2010 Location(s): Oyster Bay, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Town of Oyster Bay is proposing to use American Recovery and Reinvestment Act (ARRA) funds provided by DOE to install a 17.5 ton, vertical closed-loop ground source heat pump (GSHP) system as part of an education and energy conservation demonstration facility. The geothermal system will be used in conjunction with a 119 Gallon Tank Heat Exchanger, photovoltaic-driver heat pump, a surge tank, and radiant concrete slabs and

272

CX-001689: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

89: Categorical Exclusion Determination 89: Categorical Exclusion Determination CX-001689: Categorical Exclusion Determination American Recovery and Reinvestment Act (ARRA) State Energy Program (SEP) Bay City and Van Vleck Independent School District (ISD) Wind Project CX(s) Applied: A9, A11 Date: 04/13/2010 Location(s): Matagorda County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The State of Texas will provide $1,784,808 in Recovery Act funds to the Bay City Independent School District (ISD) and Van Vleck ISD to install small wind turbines on eleven school campuses in the two ISDs. The wind turbines will serve educational purposes as well as to generate clean, renewable energy for campus use. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-001689.pdf More Documents & Publications

273

CX-000602: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

02: Categorical Exclusion Determination 02: Categorical Exclusion Determination CX-000602: Categorical Exclusion Determination Tillamook-Oceanside, 115-kilovolt Substation Interconnection CX(s) Applied: B4.6 Date: 01/07/2010 Location(s): Tillamook County, Oregon Office(s): Bonneville Power Administration Bonneville Power Administration (BPA) proposes to install a new 115-kilovolt (kV) substation terminal at Bay 6 of BPA's Tillamook Substation in order to accommodate Tillamook Public Utility District's (PUD's) request to interconnect its new Oceanside 115-kV transmission line. Relay and metering devices will compose the new terminal at Bay 6 where BPA will connect the last span of Tillamook PUD's new Oceanside 115-kV line. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-000602.pdf More Documents & Publications

274

CX-007075: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

75: Categorical Exclusion Determination 75: Categorical Exclusion Determination CX-007075: Categorical Exclusion Determination Wisconsin-City-Green Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 09/27/2011 Location(s): Green Bay, Wisconsin Office(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office Energy Efficiency and Conservation Block Grant Program. 1) Acquisition of technical services to support completion of the initial application (completed) and hire a part-time technical consultant/sustainability coordinator to conduct energy efficiency and conservation workshops, training, and education, and perform other program-related work; 2) implementation of a home energy audit incentive program to encourage homeowners to conduct home energy audits; 3) performance of energy

275

CX-006257: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

257: Categorical Exclusion Determination 257: Categorical Exclusion Determination CX-006257: Categorical Exclusion Determination Ponderosa 500-230 Kilovolt (kV) Transformer Addition CX(s) Applied: B4.6 Date: 06/29/2011 Location(s): Prineville, Oregon Office(s): Bonneville Power Administration The proposed project includes modification of existing substation equipment, installation of a new 500-230-kilovolt (kV) transformer, and an eight acre expansion northwest of the existing yard. The yard expansion is to facilitate the addition of a new 230-kV 2-bay breaker-and-a-half bus, four bays and the new transformer. A new control house would be built to accommodate controls and protection for the new equipment. The existing road to the south would be modified and graveled. All activities would occur on previously disturbed soils within Bonneville Power

276

CX-002052: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

052: Categorical Exclusion Determination 052: Categorical Exclusion Determination CX-002052: Categorical Exclusion Determination Elma City Hall, Fire Station and Police Station - Energy Efficiency and Conservation Block Grant CX(s) Applied: B5.1 Date: 04/20/2010 Location(s): Elma, Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Washington Department of Commerce will pass through $135,000 of Energy Efficiency and Conservation Block Grant funding to the City of Elma to implement several projects. These include: Energy efficient interior/exterior improvements to City Hall, Police Station, and removing/replacing old Fire Department Apparatus Bays with new bays that are designed to withstand seismic events, provide more space for equipment and fire trucks, and conserve energy.

277

Categorical Exclusion Determinations: Native American and Alaskan Native  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

November 2, 2009 November 2, 2009 CX-000028: Categorical Exclusion Determination Little River Band of Ottawa Indians Energy Efficiency and Conservation Programs for Buildings and Facilities CX(s) Applied: B5.1, A9 Date: 11/02/2009 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000027: Categorical Exclusion Determination Kashia Band of Pomo Indians of the Stewarts Point Rancheria Traffic Signals and Street Lighting CX(s) Applied: B5.1 Date: 11/02/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000026: Categorical Exclusion Determination Ivanoff Bay Village Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 11/02/2009 Location(s): Ivanoff Bay, Alaska Office(s): Energy Efficiency and Renewable Energy

278

CX-005555: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

55: Categorical Exclusion Determination 55: Categorical Exclusion Determination CX-005555: Categorical Exclusion Determination TidGen Power System Commercialization Project CX(s) Applied: A9 Date: 04/05/2011 Location(s): Cobscook Bay, Maine Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Department of Energy is proposing to provide federal funding to Ocean Renewable Power Company (ORPC) for the TidGen 110 Power System Commercialization Project (TidGen Project). Federal funds would be applied to the entire project. The TidGen 110 Project would be completed in two phases over a three-year period and would consist of designing, building, installing and monitoring a commercial-scale array of five grid-connected TidGen TM devices on the sea floor in Cobscook Bay off Lubec (near

279

CX-002722: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

722: Categorical Exclusion Determination 722: Categorical Exclusion Determination CX-002722: Categorical Exclusion Determination Washington-Tribe-Shoalwater Bay Indian Tribe CX(s) Applied: B2.5, B5.1 Date: 06/10/2010 Location(s): Washington Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The Shoalwater Bay Indian Tribe of Washington proposes to perform several heating, ventilating, and air conditioning (HVAC) replacements and repairs which would include: replacing heat pumps and associated HVAC equipment in the Tribal Administration Center; repairing the HVAC systems in the Social Services Building and the Environmental Services Building (for example, replacing coils); and conducting minor repairs to the HVAC equipment to make the units more energy efficient.

280

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7, 2011 7, 2011 CX-007075: Categorical Exclusion Determination Wisconsin-City-Green Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 09/27/2011 Location(s): Green Bay, Wisconsin Office(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office September 27, 2011 CX-006971: Categorical Exclusion Determination Clean Energy Coalition - Michigan Green Fleets CX(s) Applied: A7, B5.1 Date: 09/27/2011 Location(s): Detroit, Michigan Office(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office September 27, 2011 CX-006969: Categorical Exclusion Determination Clean Energy Coalition - Michigan Green Fleets CX(s) Applied: B5.1 Date: 09/27/2011 Location(s): Plymouth, Michigan Office(s): Energy Efficiency and Renewable Energy, Savannah River

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281

CX-004447: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

447: Categorical Exclusion Determination 447: Categorical Exclusion Determination CX-004447: Categorical Exclusion Determination L Basin Vacuum System Replacement CX(s) Applied: B1.3 Date: 10/15/2010 Location(s): Aiken, South Carolina Office(s): Savannah River Operations Office The L Area Disassembly Basin vacuum system will be replaced and used to vacuum the Horizontal Bundle and Bucket Storage area and Transfer Bay of the basin floor. Most of the basin floor sludge will be sent to the L Area Monitor Basin, and the sludge from the resin-affected zones will be sent to solid waste. Revision 1: This revision adds vacuuming of the Transfer Bay and sending of most of the sludge to the Monitor Basin instead of Settler Tank. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-004447.pdf More Documents & Publications

282

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

November 2, 2009 November 2, 2009 CX-000027: Categorical Exclusion Determination Kashia Band of Pomo Indians of the Stewarts Point Rancheria Traffic Signals and Street Lighting CX(s) Applied: B5.1 Date: 11/02/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000026: Categorical Exclusion Determination Ivanoff Bay Village Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 11/02/2009 Location(s): Ivanoff Bay, Alaska Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000025: Categorical Exclusion Determination Cortina Rancheria of Wintun Indians Renewable Energy Technologies (Wind) on Government Buildings CX(s) Applied: B5.1, B3.6, A1 Date: 11/02/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy

283

CX-005709: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

09: Categorical Exclusion Determination 09: Categorical Exclusion Determination CX-005709: Categorical Exclusion Determination Florida-City-Palm Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 04/05/2011 Location(s): Palm Bay, Florida Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. 1) Technical consultant to develop energy efficiency and conservation strategy and a sustainability and energy master plan (completed); 2) Energy efficiency audits at seven municipal facilities; 3) Energy efficient retrofits at six municipal buildings; 4) Community-wide greenhouse gas inventory; 5) Review and upgrade existing building codes; 6) Municipal building retrofits to include interior lighting retrofits, upgrade appliances, building management system design proposal and retrofits, solar water heaters, and

284

Categorical Exclusion Determinations: A11 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 20, 2010 December 20, 2010 CX-004786: Categorical Exclusion Determination North Dakota-Tribe-Turtle Mountain Band of Chippewa CX(s) Applied: A9, A11, B2.5, B5.1 Date: 12/20/2010 Location(s): Turtle Mountain, North Dakota Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004779: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association CX(s) Applied: A9, A11, B2.5, B5.1 Date: 12/20/2010 Location(s): Bristol Bay, South Dakota Office(s): Energy Efficiency and Renewable Energy December 17, 2010 CX-004763: Categorical Exclusion Determination Community College and University System Energy Managers Program CX(s) Applied: A1, A9, A11 Date: 12/17/2010 Location(s): North Carolina Office(s): Energy Efficiency and Renewable Energy, National Energy

285

Categorical Exclusion Determinations: A1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2, 2009 2, 2009 CX-000031: Categorical Exclusion Determination Pueblo de Cochiti Energy Efficiency Retrofits CX(s) Applied: B5.1, B2.5, A1 Date: 11/02/2009 Location(s): Pueblo de Cochiti, New Mexico Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000026: Categorical Exclusion Determination Ivanoff Bay Village Energy Efficiency and Conservation Strategy CX(s) Applied: A1, A9, A11 Date: 11/02/2009 Location(s): Ivanoff Bay, Alaska Office(s): Energy Efficiency and Renewable Energy November 2, 2009 CX-000025: Categorical Exclusion Determination Cortina Rancheria of Wintun Indians Renewable Energy Technologies (Wind) on Government Buildings CX(s) Applied: B5.1, B3.6, A1 Date: 11/02/2009 Location(s): California Office(s): Energy Efficiency and Renewable Energy

286

Categorical Exclusion Determinations: Office of Energy Efficiency and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

27, 2011 27, 2011 CX-006929: Categorical Exclusion Determination Florida-City-Gainesville CX(s) Applied: A9, B1.32, B2.5, B5.1 Date: 09/27/2011 Location(s): Gainesville, Florida Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory September 27, 2011 CX-007075: Categorical Exclusion Determination Wisconsin-City-Green Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 09/27/2011 Location(s): Green Bay, Wisconsin Office(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office September 27, 2011 CX-006971: Categorical Exclusion Determination Clean Energy Coalition - Michigan Green Fleets CX(s) Applied: A7, B5.1 Date: 09/27/2011 Location(s): Detroit, Michigan Office(s): Energy Efficiency and Renewable Energy, Savannah River

287

Characterization of selected public health issues in Galveston Bay. Final report  

SciTech Connect

The purpose of the project is to characterize public health issues associated with bay use activities such as shellfish consumption and contact and non-contact recreation. The major objectives of the characterization study are: (1) Review and summarize activities associated with shellfish bed closures, (2) Identify and characterize sources of bacterial contamination, (3) Review and characterize areas of Galveston Bay which have exceeded water quality standards for contact and non-contact recreation, and (4) Assess the incidence of known pathogenic organisms such as Vibrio Vulnificus. The characterization includes consideration of indicator organisms and known pathogenic organisms and covers all identified water quality segments of Galveston Bay.

Jensen, P.; Su, Y.C.

1992-08-01T23:59:59.000Z

288

Development of a Hydrodynamic and Transport model of Bellingham Bay in Support of Nearshore Habitat Restoration  

SciTech Connect

In this study, a hydrodynamic model based on the unstructured-grid finite volume coastal ocean model (FVCOM) was developed for Bellingham Bay, Washington. The model simulates water surface elevation, velocity, temperature, and salinity in a three-dimensional domain that covers the entire Bellingham Bay and adjacent water bodies, including Lummi Bay, Samish Bay, Padilla Bay, and Rosario Strait. The model was developed using Pacific Northwest National Laboratorys high-resolution Puget Sound and Northwest Straits circulation and transport model. A sub-model grid for Bellingham Bay and adjacent coastal waters was extracted from the Puget Sound model and refined in Bellingham Bay using bathymetric light detection and ranging (LIDAR) and river channel cross-section data. The model uses tides, river inflows, and meteorological inputs to predict water surface elevations, currents, salinity, and temperature. A tidal open boundary condition was specified using standard National Oceanic and Atmospheric Administration (NOAA) predictions. Temperature and salinity open boundary conditions were specified based on observed data. Meteorological forcing (wind, solar radiation, and net surface heat flux) was obtained from NOAA real observations and National Center for Environmental Prediction North American Regional Analysis outputs. The model was run in parallel with 48 cores using a time step of 2.5 seconds. It took 18 hours of cpu time to complete 26 days of simulation. The model was calibrated with oceanographic field data for the period of 6/1/2009 to 6/26/2009. These data were collected specifically for the purpose of model development and calibration. They include time series of water-surface elevation, currents, temperature, and salinity as well as temperature and salinity profiles during instrument deployment and retrieval. Comparisons between model predictions and field observations show an overall reasonable agreement in both temporal and spatial scales. Comparisons of root mean square error values for surface elevation, velocity, temperature, and salinity time series are 0.11 m, 0.10 m/s, 1.28oC, and 1.91 ppt, respectively. The model was able to reproduce the salinity and temperature stratifications inside Bellingham Bay. Wetting and drying processes in tidal flats in Bellingham Bay, Samish Bay, and Padilla Bay were also successfully simulated. Both model results and observed data indicated that water surface elevations inside Bellingham Bay are highly correlated to tides. Circulation inside the bay is weak and complex and is affected by various forcing mechanisms, including tides, winds, freshwater inflows, and other local forcing factors. The Bellingham Bay model solution was successfully linked to the NOAA oil spill trajectory simulation model General NOAA Operational Modeling Environment (GNOME). Overall, the Bellingham Bay model has been calibrated reasonably well and can be used to provide detailed hydrodynamic information in the bay and adjacent water bodies. While there is room for further improvement with more available data, the calibrated hydrodynamic model provides useful hydrodynamic information in Bellingham Bay and can be used to support sediment transport and water quality modeling as well as assist in the design of nearshore restoration scenarios.

Wang, Taiping; Yang, Zhaoqing; Khangaonkar, Tarang

2010-04-22T23:59:59.000Z

289

Coos Bay, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Oregon: Energy Resources Oregon: Energy Resources (Redirected from Coos Bay, OR) Jump to: navigation, search Equivalent URI DBpedia Coordinates 43.3665007°, -124.2178903° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3665007,"lon":-124.2178903,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

290

City of Bay City, Michigan (Utility Company) | Open Energy Information  

Open Energy Info (EERE)

City, Michigan (Utility Company) City, Michigan (Utility Company) Jump to: navigation, search Name City of Bay City Place Michigan Utility Id 1366 Utility Location Yes Ownership M NERC Location ECAR NERC RFC Yes ISO MISO Yes Operates Generating Plant Yes Activity Generation Yes Activity Buying Transmission Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png COMMERCIAL DEMAND RATE Commercial COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 100 WATTS) Lighting COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 150 WATTS) Lighting COMPANY OWNED STREET LIGHTING (High Pressure Sodium - 250 WATTS) Lighting

291

Search for a Light Sterile Neutrino at Daya Bay  

E-Print Network (OSTI)

A search for light sterile neutrino mixing was performed with the first 217 days of data from the Daya Bay Reactor Antineutrino Experiment. The experiment's unique configuration of multiple baselines from six 2.9~GW$_{\\rm th}$ nuclear reactors to six antineutrino detectors deployed in two near (effective baselines 512~m and 561~m) and one far (1579~m) underground experimental halls makes it possible to test for oscillations to a fourth (sterile) neutrino in the $10^{\\rm -3}~{\\rm eV}^{2} < |\\Delta m_{41}^{2}| < 0.3~{\\rm eV}^{2}$ range. The relative spectral distortion due to electron antineutrino disappearance was found to be consistent with that of the three-flavor oscillation model. The derived limits on $\\sin^22\\theta_{14}$ cover the $10^{-3}~{\\rm eV}^{2} \\lesssim |\\Delta m^{2}_{41}| \\lesssim 0.1~{\\rm eV}^{2}$ region, which was largely unexplored.

F. P. An; A. B. Balantekin; H. R. Band; W. Beriguete; M. Bishai; S. Blyth; I. Butorov; G. F. Cao; J. Cao; Y. L. Chan; J. F. Chang; L. C. Chang; Y. Chang; C. Chasman; H. Chen; Q. Y. Chen; S. M. Chen; X. Chen; X. Chen; Y. X. Chen; Y. Chen; Y. P. Cheng; J. J. Cherwinka; M. C. Chu; J. P. Cummings; J. de Arcos; Z. Y. Deng; Y. Y. Ding; M. V. Diwan; E. Draeger; X. F. Du; D. A. Dwyer; W. R. Edwards; S. R. Ely; J. Y. Fu; L. Q. Ge; R. Gill; M. Gonchar; G. H. Gong; H. Gong; M. Grassi; W. Q. Gu; M. Y. Guan; X. H. Guo; R. W. Hackenburg; G. H. Han; S. Hans; M. He; K. M. Heeger; Y. K. Heng; P. Hinrichs; Y. K. Hor; Y. B. Hsiung; B. Z. Hu; L. M. Hu; L. J. Hu; T. Hu; W. Hu; E. C. Huang; H. Huang; X. T. Huang; P. Huber; G. Hussain; Z. Isvan; D. E. Jaffe; P. Jaffke; K. L. Jen; S. Jetter; X. P. Ji; X. L. Ji; H. J. Jiang; J. B. Jiao; R. A. Johnson; L. Kang; S. H. Kettell; M. Kramer; K. K. Kwan; M. W. Kwok; T. Kwok; W. C. Lai; K. Lau; L. Lebanowski; J. Lee; R. T. Lei; R. Leitner; A. Leung; J. K. C. Leung; C. A. Lewis; D. J. Li; F. Li; G. S. Li; Q. J. Li; W. D. Li; X. N. Li; X. Q. Li; Y. F. Li; Z. B. Li; H. Liang; C. J. Lin; G. L. Lin; P. Y. Lin; S. K. Lin; Y. C. Lin; J. J. Ling; J. M. Link; L. Littenberg; B. R. Littlejohn; D. W. Liu; H. Liu; J. L. Liu; J. C. Liu; S. S. Liu; Y. B. Liu; C. Lu; H. Q. Lu; K. B. Luk; Q. M. Ma; X. Y. Ma; X. B. Ma; Y. Q. Ma; K. T. McDonald; M. C. McFarlane; R. D. McKeown; Y. Meng; I. Mitchell; J. Monari Kebwaro; Y. Nakajima; J. Napolitano; D. Naumov; E. Naumova; I. Nemchenok; H. Y. Ngai; Z. Ning; J. P. Ochoa-Ricoux; A. Olshevski; S. Patton; V. Pec; J. C. Peng; L. E. Piilonen; L. Pinsky; C. S. J. Pun; F. Z. Qi; M. Qi; X. Qian; N. Raper; B. Ren; J. Ren; R. Rosero; B. Roskovec; X. C. Ruan; B. B. Shao; H. Steiner; G. X. Sun; J. L. Sun; Y. H. Tam; X. Tang; H. Themann; K. V. Tsang; R. H. M. Tsang; C. E. Tull; Y. C. Tung; B. Viren; V. Vorobel; C. H. Wang; L. S. Wang; L. Y. Wang; M. Wang; N. Y. Wang; R. G. Wang; W. Wang; W. W. Wang; X. Wang; Y. F. Wang; Z. Wang; Z. Wang; Z. M. Wang; D. M. Webber; H. Y. Wei; Y. D. Wei; L. J. Wen; K. Whisnant; C. G. White; L. Whitehead; T. Wise; H. L. H. Wong; S. C. F. Wong; E. Worcester; Q. Wu; D. M. Xia; J. K. Xia; X. Xia; Z. Z. Xing; J. Y. Xu; J. L. Xu; J. Xu; Y. Xu; T. Xue; J. Yan; C. C. Yang; L. Yang; M. S. Yang; M. T. Yang; M. Ye; M. Yeh; Y. S. Yeh; B. L. Young; G. Y. Yu; J. Y. Yu; Z. Y. Yu; S. L. Zang; B. Zeng; L. Zhan; C. Zhang; F. H. Zhang; J. W. Zhang; Q. M. Zhang; Q. Zhang; S. H. Zhang; Y. C. Zhang; Y. M. Zhang; Y. H. Zhang; Y. X. Zhang; Z. J. Zhang; Z. Y. Zhang; Z. P. Zhang; J. Zhao; Q. W. Zhao; Y. Zhao; Y. B. Zhao; L. Zheng; W. L. Zhong; L. Zhou; Z. Y. Zhou; H. L. Zhuang; J. H. Zou

2014-07-27T23:59:59.000Z

292

Design and preliminary test results of Daya Bay RPC modules*  

SciTech Connect

Resistive Plate Chamber (RPC) modules will be used as one part of the cosmic muon veto system in the Daya Bay reactor neutrino experiment. A total of 189 RPC modules will cover the three water pools in the experiment. To achieve track reconstruction and high efficiency, each module consists of 4 layers, each of which contains two sizes of bare chambers. The placement of bare chambers is reversed in different layers to reduce the overlapping dead areas. The module efficiency and patch efficiency were studied both in simulation and test of the data analysis. 143 modules have been constructed and tested. The preliminary study shows that the module and patch 3 out of 4 layers efficiency reaches about 98%.

Hackenburg, R.

2011-09-01T23:59:59.000Z

293

Probing Non-Standard Interactions at Daya Bay  

E-Print Network (OSTI)

In this article we consider the presence of neutrino non-standard interactions (NSI) in the production and detection processes of reactor antineutrinos at the Daya Bay experiment. We report for the first time, the new constraints on the flavor non-universal and flavor universal charged-current NSI parameters, estimated using the currently released 621 days of Daya Bay data. New limits are placed assuming that the new physics effects are just inverse of each other in the production and detection processes. With this special choice of the NSI parameters, we observe a global shift in the oscillation amplitude without distorting the shape of the oscillation probability. This shift in the depth of the oscillation dip can be caused by the NSI parameters as well as by $\\theta_{13}$, making it quite difficult to disentangle the NSI effects from the standard oscillations. We explore the correlations between the NSI parameters and $\\theta_{13}$ that may lead to significant deviations in the reported value of the reactor mixing angle with the help of iso-probability surface plots. Finally, we present the limits on electron, muon/tau, and flavor universal (FU) NSI couplings with and without considering the uncertainty in the normalization of the total event rates. Assuming a perfect knowledge of the event rates normalization, we find strong upper bounds ~ 0.1% for the electron and FU cases improving the present limits by one order of magnitude. However, for a conservative error of 5% in the total normalization, these constraints are relaxed by almost one order of magnitude.

Sanjib Kumar Agarwalla; Partha Bagchi; David V. Forero; Mariam Tortola

2014-12-02T23:59:59.000Z

294

Surface Currents and Winds at the Delaware Bay Mouth  

SciTech Connect

Knowledge of the circulation of estuaries and adjacent shelf waters has relied on hydrographic measurements, moorings, and local wind observations usually removed from the region of interest. Although these observations are certainly sufficient to identify major characteristics, they lack both spatial resolution and temporal coverage. High resolution synoptic observations are required to identify important coastal processes at smaller scales. Long observation periods are needed to properly sample low-frequency processes that may also be important. The introduction of high-frequency (HF) radar measurements and regional wind models for coastal studies is changing this situation. Here we analyze synoptic, high-resolution surface winds and currents in the Delaware Bay mouth over an eight-month period (October 2007 through May 2008). The surface currents were measured by two high-frequency radars while the surface winds were extracted from a data-assimilating regional wind model. To illustrate the utility of these monitoring tools we focus on two 45-day periods which previously were shown to present contrasting pictures of the circulation. One, the low-outflow period is from 1 October through 14 November 2007; the other is the high-outflow period from 3 March through 16 April 2008. The large-scale characteristics noted by previous workers are clearly corroborated. Specifically the M2 tide dominates the surface currents, and the Delaware Bay outflow plume is clearly evident in the low frequency currents. Several new aspects of the surface circulation were also identified. These include a map of the spatial variability of the M2 tide (validating an earlier model study), persistent low-frequency cross-mouth flow, and a rapid response of the surface currents to a changing wind field. However, strong wind episodes did not persist long enough to set up a sustained Ekman response.

Muscarella, P A; Barton, N P; Lipphardt, B L; Veron, D E; Wong, K C; Kirwan, A D

2011-04-06T23:59:59.000Z

295

Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility |  

Open Energy Info (EERE)

Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Jump to: navigation, search Name Doe Bay Village Resort Pool & Spa Low Temperature Geothermal Facility Facility Doe Bay Village Resort Sector Geothermal energy Type Pool and Spa Location Olga, Washington Coordinates Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[]}

296

Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A  

Open Energy Info (EERE)

Waters Along The Konocti Bay Fault Zone, Lake County, California- A Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Details Activities (3) Areas (1) Regions (0) Abstract: The Konocti Bay fault zone (KBFZ), initially regarded by some as a promising target for liquid-dominated geothermal systems, has been a disappointment. At least five exploratory wells were drilled in the vicinity of the KBFZ, but none were successful. Although the Na-K-Ca and Na-Li geothermometers indicate that the thermal waters discharging in the vicinity of Howard and Seigler Springs may have equilibrated at temperatures greater than 200°C, the spring temperatures and fluid

297

Numerical Simulation of Wind Currents and Propagation of Impurities in the Balaklava Bay  

Science Journals Connector (OSTI)

We present the results of numerical experiments aimed at the simulation of the circulation of waters and transport ... of impurities in the Balaklava Bay for typical wind conditions established on the basis of th...

V. V. Fomin; L. N. Repetin

2005-07-01T23:59:59.000Z

298

Copano Bay: Assessing the Accountability of Spatial/Temporal Variability in Benthic Molluscan Paleocommunities  

E-Print Network (OSTI)

. In order to study this relationship, benthic molluscan live and dead assemblages are being collected from an ongoing time series and a spatial transect from Copano Bay, Texas. Previous work on this time series transect has demonstrated that death...

Horbaczewski, Adam Michael

2008-08-19T23:59:59.000Z

299

E-Print Network 3.0 - apalachicola bay usa Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

apalachicola bay usa Page: << < 1 2 3 4 5 > >> 1 LONG-TERM FLUCTUATIONS OF EPIBENTHIC FISH AND INVERTEBRATE POPULATIONS IN Summary: LONG-TERM FLUCTUATIONS OF EPIBENTHIC FISH AND...

300

Water Management Strategies for the San Joaquin Valley and San Francisco Bay Area  

E-Print Network (OSTI)

i Water Management Strategies for the San Joaquin Valley and San Francisco Bay Area: an Engineering in Water Resource Management ............. 3 CALVIN Model Overview ...................................................... 26 Changes in Delivery and Scarcity Costs .................................. 35 Environmental Water

Lund, Jay R.

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area  

Science Journals Connector (OSTI)

A detailed energy analysis of the barotropic and baroclinic M2 tides in the Monterey Bay area is performed. The authors first derive a theoretical framework for analyzing internal tide energetics based on the complete form of the barotropic and ...

Dujuan Kang; Oliver Fringer

2012-02-01T23:59:59.000Z

302

E-Print Network 3.0 - activator bay k8644 Sample Search Results  

NLE Websites -- All DOE Office Websites (Extended Search)

Macmillan Magazines Ltd., 1989 Summary: ). In the presence of Bay K 8644 (1-10 M),80% of LCa. 11 cells with gigaohm input resistances gave rise to detectable... (a) and after (b)...

303

Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations  

Office of Energy Efficiency and Renewable Energy (EERE)

NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

304

Impacts of Ecotourism on Short-Beaked Common Dolphins (Delphinus delphis) in Mercury Bay, New Zealand  

E-Print Network (OSTI)

Impacts of Ecotourism on Short-Beaked Common Dolphins (Delphinus delphis) in Mercury Bay, New on this species. Key Words: short-beaked common dolphins, Delphinus delphis, ecotourism, dolphin-watching, swim

305

Successful Application of Heat Pumps to a DHC System in the Tokyo Bay Area  

E-Print Network (OSTI)

The Harumi-Island District Heating & Cooling (DHC), which is located in the Tokyo Bay area, introduced the heat pump and thermal storage system with the aim of achieving minimum energy consumption, minimum environmental load, and maximum economical...

Yanagihara, R.; Okagaki, A.

2006-01-01T23:59:59.000Z

306

Guidelines for left-turn bays at unsignalized access locations on arterial roadways  

E-Print Network (OSTI)

It has long been recognized that effective access management along arterial streets can alleviate traffic congestion. A major goal within access management is to limit the speed differential between turning and through vehicles. Left-turn bays...

Hawley, Patrick Emmett

2012-06-07T23:59:59.000Z

307

Behavioral flexibility of feeding dusky dolphins (Lagenorhynchus obscurus) in Admiralty Bay, New Zealand  

E-Print Network (OSTI)

that frequent Admiralty Bay during winter spend their summers off Kaikoura, where they become part of an established multi-million dollar ecotourism industry (Fairweather and Simmons 1998). Currently, the impacts of ecotourism on these dolphins appear...

McFadden, Cynthia Joy

2004-09-30T23:59:59.000Z

308

Radiation Dose Estimation from the Analysis of Radionuclides in Marine Fish of the Bay of Bengal  

Science Journals Connector (OSTI)

...Radiation Protection Dosimetry Article Radiation Dose Estimation from the Analysis of Radionuclides in Marine Fish of the Bay of Bengal S. Ghose M.N. Alam M.N...respectively. The annual effective doses due to ingestion of radionuclides......

S. Ghose; M.N. Alam; M.N. Islam

2000-02-01T23:59:59.000Z

309

A numerical study of circulation and mixing in a macrotidal estuary: Cobscook Bay, Maine  

E-Print Network (OSTI)

that tracked particle position, calculated by interpolating the velocities of the surrounding grid cells to the point where a particle was located, were used to estimate residence times in the bay. Residence times for individual particles varied with initial...

Baca, Michael William

2012-06-07T23:59:59.000Z

310

Analysis of landscape patterns in coastal wetlands of Galveston Bay, Texas (USA)  

Science Journals Connector (OSTI)

High productivity and accessibility have made coastal wetlands attractive sites for human settlements. This study analyzed the patterns of wetland landscapes in Galveston Bay, Texas, USA. The first objective of t...

Amy J. Liu; Guy N. Cameron

2001-10-01T23:59:59.000Z

311

Sediment quality triad assessment survey of the Galveston Bay, Texas system  

Science Journals Connector (OSTI)

To characterize the quality of sediments at key sites in the Galveston Bay Estuary, sediment samples were collected concurrently for chemical and physical analyses, toxicity testing and an assessment of benthi...

R. Scott Carr; Duane C. Chapman; Cynthia L. Howard; James M. Biedenbach

1996-12-01T23:59:59.000Z

312

Positive Relationship between Freshwater Inflow and Oyster Abundance in Galveston Bay, Texas  

Science Journals Connector (OSTI)

Analysis of fisheries-independent data for Galveston Bay, Texas, USA, since 1985 shows eastern oysters...Crassostrea virginica) frequently demonstrate increased abundance of market-sized oysters 1 to 2years afte...

David Buzan; Wen Lee; Jan Culbertson; Nathan Kuhn; Lance Robinson

2009-01-01T23:59:59.000Z

313

Sources and bioavailability of polynuclear aromatic hydrocarbons in Galveston Bay, Texas  

Science Journals Connector (OSTI)

Oyster and sediment samples collected from six sites in Galveston Bay from 1986 to 1998 were analyzed for polynuclear aromatic hydrocarbons (PAHs). Total concentrations of parent PAHs in oysters ranged from 20...

Yaorong Qian; Terry L. Wade; Jose L. Sericano

2001-12-01T23:59:59.000Z

314

A comparison of early juvenile red drum densities among various habitat types in Galveston Bay, Texas  

Science Journals Connector (OSTI)

Seagrass meadows are often cited as important nursery areas for newly settled red drum even though many estuaries, such as Galveston Bay, Texas, support large numbers of red drum and ... settled red drum at six s...

Gregory W. Stunz; Thomas J. Minello; Phillip S. Levin

2002-02-01T23:59:59.000Z

315

Comparison of natural and man-made salt marshes in Galveston Bay Complex, Texas  

Science Journals Connector (OSTI)

Vegetation characteristics of three natural marshes and one marsh that was experimentally established on dredged material in 1976 and 1977 were compared in the Galveston Bay Complex, Texas. During fall 1978, Six ...

James W. Webb; Charles J. Newling

1984-12-01T23:59:59.000Z

316

Potential Inundation Due to Rising Sea Levels in the San Francisco Bay Region  

E-Print Network (OSTI)

impact of accelerated sea level rise on San Francisco Bay.change scenarios and sea level rise estimates for thedistribution of sea level rise over the 19502000 period.

Knowles, Noah

2010-01-01T23:59:59.000Z

317

Hydro-Ecologic Responses to Land Use in Small Urbanizing Watersheds Within the Chesapeake Bay  

E-Print Network (OSTI)

Hydro-Ecologic Responses to Land Use in Small Urbanizing Watersheds Within the Chesapeake Bay. The consequences for both the hydrology and 41 #12;42 HYDRO-ECOLOGIC RESPONSES TO LAND USE IN SMALL URBANIZING

Palmer, Margaret A.

318

Sharpening the second law of thermodynamics with the quantum Bayes theorem  

E-Print Network (OSTI)

We prove a generalization of the classic Groenewold-Lindblad entropy inequality, combining decoherence and the quantum Bayes theorem into a simple unified picture where decoherence increases entropy while observation ...

Gharibyan, Hrant

319

SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR  

E-Print Network (OSTI)

SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR Mads of the NREL 5MW wind turbine tower subjected to bending fatigue and horizontal circumferential cracking

Boyer, Edmond

320

An unusually large turtle barnacle (Chelonibia p. patula) on a blue crab from Delaware Bay  

Science Journals Connector (OSTI)

A turtle barnacle,Chelonibia patula patula (Ranzani) of unusually large size was found on a large female blue crab in Delaware Bay in September, 1954. This appears to be the largest known specimen ofC. p. patula....

Austin B. Williams; Hugh J. Portner

1964-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Transformation of a building type : a study of Back Bay houses in Boston  

E-Print Network (OSTI)

The objective of this thesis is to explore the transformation of an existing building type and the application of the support/infill concept in a new context. For this purpose, a traditional Back Bay residential form in ...

Liu, Ricky Pei-Shen

1986-01-01T23:59:59.000Z

322

Monitoring of Gin Drinkers' Bay landfill, Hong Kong: I. Landfill gas on top of the landfill  

Science Journals Connector (OSTI)

The present study centered on the composition of landfill gas and its effects on soil and ... at the Gin Drinkers' Bay (GDB) landfill in Hong Kong This first part of ... the study was a whole-year monitoring of landfill

M. H. Wong; C. T. Yu

323

BayesWave: Bayesian Inference for Gravitational Wave Bursts and Instrument Glitches  

E-Print Network (OSTI)

A central challenge in Gravitational Wave Astronomy is identifying weak signals in the presence of non-stationary and non-Gaussian noise. The separation of gravitational wave signals from noise requires good models for both. When accurate signal models are available, such as for binary Neutron star systems, it is possible to make robust detection statements even when the noise is poorly understood. In contrast, searches for "un-modeled" transient signals are strongly impacted by the methods used to characterize the noise. Here we take a Bayesian approach and introduce a multi-component, variable dimension, parameterized noise model that explicitly accounts for non-stationarity and non-Gaussianity in data from interferometric gravitational wave detectors. Instrumental transients (glitches) and burst sources of gravitational waves are modeled using a Morlet-Gabor continuous wavelet basis. The number and placement of the wavelets is determined by a trans-dimensional Reversible Jump Markov Chain Monte Carlo algorithm. The Gaussian component of the noise and sharp line features in the noise spectrum are modeled using the BayesLine algorithm, which operates in concert with the wavelet model.

Neil J. Cornish; Tyson B. Littenberg

2014-10-14T23:59:59.000Z

324

Energy content of young yellow perch and walleye in Saginaw Bay  

Science Journals Connector (OSTI)

Abstract We evaluated seasonal energy content of age-0 yellow perch Perca flavescens and walleye Sander vitreus in Saginaw Bay, Lake Huron in 2009 and 2010. We also determined the energy content of age-1 fish from the 2009 and 2010 cohorts the following spring (i.e., for fish that had survived one winter) to evaluate overwinter energy losses. As expected, larger fish within each species had disproportionately higher energy content (i.e., slope relating length and energy >3.0) than smaller conspecifics. By contrast to expectations, allometric slopes were >3.0 in nearly all months, not just the fall, and were higher for age-0 yellow perch than for walleye, even though increased allocation to growth would have seemingly been beneficial to even the largest yellow perch during summer. Seasonal energy allocation patterns differed between years. In 2009, length specific energy content increased from late summer to fall for both species. However, for the 2010 cohorts of fish, length specific energy content decreased between late summer and fall for yellow perch and did not change for walleye. There were 1317% overwinter declines in length specific energy content between the fall (October or November) and the spring (May) with no major differences between cohorts within a species or between species for a given year. Because young yellow perch and walleye are similar physiologically but differ in size (i.e., yellow perch are smaller), it is possible that overwinter energy losses are more important for yellow perch than for walleye.

Steven A. Pothoven; Tomas O. Hk; Charles R. Roswell

2014-01-01T23:59:59.000Z

325

13 OctOber 2013 Mission Bay Conference Center, San Francisco, USA  

E-Print Network (OSTI)

1­3 OctOber 2013 Mission Bay Conference Center, San Francisco, USA www.beyond-the-genome.com Beyond the Genome 2013 #12;2 1­3 OctOber 2013 Mission Bay Conference Center, San Francisco, USA www.beyond-the-genome.com Beyond the Genome 2013 Exhibition and sponsorship Nick Moss BioMed Central T: +44 (0)20 3192 2723 E: nick

Kaski, Samuel

326

A Fundamental Issue of Naive Bayes Harry Zhang 1 and Charles X. Ling 2  

E-Print Network (OSTI)

A Fundamental Issue of Naive Bayes Harry Zhang 1 and Charles X. Ling 2 1 Faculty of Computer#12;er, or simply naive Bayes (NB). g(E) = p(C = +) p(C = ) n Y i=1 p(a i jC = +) p(a i jC = ) : (1) #12; 2 Harry Zhang and Charles X. Ling. It is obvious that the conditional independence assumption

Ling, Charles X.

327

Mercury speciation in Galveston Bay, Texas: the importance of complexation by natural organic ligands  

E-Print Network (OSTI)

MERCURY SPECIATION IN GALVESTON BAY, TEXAS: THE IMPORTANCE OF COMPLEXATION BY NATURAL ORGANIC LIGANDS A Dissertation by SEUNGHEE HAN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2004 Major Subject: Oceanography MERCURY SPECIATION IN GALVESTON BAY, TEXAS: THE IMPORTANCE OF COMPLEXATION BY NATURAL ORGANIC LIGANDS A Dissertation by SEUNGHEE HAN...

Han, Seunghee

2005-02-17T23:59:59.000Z

328

Study of sediment resuspension due to Hurricane Carla in Lavaca Bay, Texas  

E-Print Network (OSTI)

STUDY OF SEDIMENT RESUSPENSION DUE TO IIURIGCANE CARLA IN LAVACA BAY, TEXAS A Thesis by KATHERINE LARM Submitted to the Office of Graduate Studies of Texas A &M University in partial fulfillment of the requirements for the degree of MASTER... Resuspension Due to Hurricane Carla in Lavaca Bay, Texas. (May 1998) Katherine Larm, B. S. , Columbia University Chair of Advisory Committee: Dr. Billy L. Edge Sediments are suspended and mobilized by wave-induced fluid motion and currents in the coastal...

Larm, Katherine, Dd 1970-

1998-01-01T23:59:59.000Z

329

Importance of Carolina Bays to the Avifauna of Pinelands in the Southeastern United States.  

SciTech Connect

Abstract - Past anthropogenic activity has led to the destruction or alteration of Carolina bay wetlands throughout the southeastern United States. Presently, urban development, combined with a 2001 ruling by the US Supreme Court relaxing protection of isolated wetlands, poses an increasing threat to these and other isolated wetland systems; however, little information exists on the importance of these wetland systems to birds. We compared breeding and wintering bird communities of upland pine (Pinus spp.) forests with and without Carolina bays. Estimated species richness was greater in pine forests with Carolina bays than without during the winter (31.7 ?± 1.3 [mean ?± SE] vs. 26.9 ?± 1.2; P = 0.027), but not in the breeding season (27.9 ?± 2.2 vs. 26.3 ?± 2.2; P = 0.644). Total relative abundance did not differ between pine forests with Carolina bays and those without in either the breeding (148.0 ?± 16.0 vs. 129.4 ?± 10.4 birds/40 ha; P = 0.675) or winter (253.0 ?± 36.4 vs. 148.8 ?± 15.1 birds/40 ha; P = 0.100) seasons. However, 23 species, 43% of which were wetland-dependent, were observed only in pine forests with bays during the breeding season, and 20 species, 30% of which were wetland-dependent, were observed only in such sites during winter. In contrast, only 6 and 1 species were observed only in pine forests without bays during the breeding and winter seasons, respectively, indicating that few species were negatively affected by the presence of bays. Thus, Carolina bays appear to enrich the avifauna of pine forests in the southeastern United States.

Czapka, Stephen, J.; Kilgo, John, C.

2011-07-01T23:59:59.000Z

330

An internship with the Galveston Bay Foundation emphasizing Coastal Marsh Restoration with Spartina alterniflora  

E-Print Network (OSTI)

Record of Study An Internship with the Galveston Bay Foundation Emphasizing Coastal Marsh Restoration with Spartina alterrsiflora A PROFESSIONAL PAPER by Joey Mahmoud Submitted to the College of Agriculture of Texas ASM University in partial... fulfillment of the requirements for the degree of MASTER OF AGRICULTURE May 1996 Rangeland Ecology and Management An Internship with the Galveston Bay Foundation Emphasizing Coastal Marsh Restoration with Spartina alterniflora A PROFESSIONAL PAPER...

Mahmoud, Joey

2012-06-07T23:59:59.000Z

331

New Don Pedro New Melones  

E-Print Network (OSTI)

LASSEN NEVADA YUBA PLACER SUTTER GLENN YOLO SACRAMENTO EL DORADO AMADOR ALPINE COLUSA LAKE SONOMA MARIN

332

Investigation of Wave Energy Converter Effects on Near-shore Wave Fields: Model Generation Validation and Evaluation - Kaneohe Bay HI.  

SciTech Connect

The numerical model, SWAN (Simulating WAves Nearshore) , was used to simulate wave conditions in Kaneohe Bay, HI in order to determine the effects of wave energy converter ( WEC ) devices on the propagation of waves into shore. A nested SWAN model was validated then used to evaluate a range of initial wave conditions: significant wave heights (H s ) , peak periods (T p ) , and mean wave directions ( MWD) . Differences between wave height s in the presence and absence of WEC device s were assessed at locations in shore of the WEC array. The maximum decrease in wave height due to the WEC s was predicted to be approximately 6% at 5 m and 10 m water depths. Th is occurred for model initiation parameters of H s = 3 m (for 5 m water depth) or 4 m (10 m water depth) , T p = 10 s, and MWD = 330deg . Subsequently, bottom orbital velocities were found to decrease by about 6%.

Roberts, Jesse D.; Chang, Grace; Jones, Craig

2014-09-01T23:59:59.000Z

333

Hardwood re-sprout control in hydrologically restored Carolina Bay depression wetlands.  

SciTech Connect

Carolina bays are isolated depression wetlands located in the upper coastal plain region of the eastern Unites States. Disturbance of this wetland type has been widespread, and many sites contain one or more drainage ditches as a result of agricultural conversion. Restoration of bays is of interest because they are important habitats for rare flora and fauna species. Previous bay restoration projects have identified woody competitors in the seedbank and re-sprouting as impediments to the establishment of herbaceous wetland vegetation communities. Three bays were hydrologically restored on the Savannah River Site, SC, by plugging drainage ditches. Residual pine/hardwood stands within the bays were harvested and the vegetative response of the seedbank to the hydrologic change was monitored. A foliar herbicide approved for use in wetlands (Habitat (Isopropylamine salt of Imazapyr)) was applied on one-half of each bay to control red maple (Acer rubrum L.), sweet gum (Liquidambar styraciflua L.), and water oak (Quercus nigra L.) sprouting. The effectiveness of the foliar herbicide was tested across a hydrologic gradient in an effort to better understand the relationship between depth and duration of flooding, the intensity of hardwood re-sprout pressure, and the need for hardwood management practices such as herbicide application.

Moser, Lee, Justin

2009-06-01T23:59:59.000Z

334

CX-000220: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Categorical Exclusion Determination 0: Categorical Exclusion Determination CX-000220: Categorical Exclusion Determination California County San Diego CX(s) Applied: A9, A11, B3.1, B5.1 Date: 12/02/2009 Location(s): San Diego County, California Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Energy Efficiency and Conservation Block Grant for: Building Systems Controls Automation: Hall of Justice & S. Bay Regional Center, 2008 Building Energy Efficiency Standards Implementation, Existing Home & Business Audit & Retrofit Program, Expedited Renewable Energy Products & Green Building Permit Processing, Photovoltaic Incentive Program, Psychiatric Hospital Lighting Retrofit, Fluorescent Lamp Recycling, Crime Laboratory Solar Electric System, Advance Technology Energy Efficient

335

Ecosystem-scale Selenium Model for the San Francisco Bay-Delta Regional Ecosystem Restoration Implementation Plan  

E-Print Network (OSTI)

both agricultural and oil refinery sources of Se (SFBRWQCBSe hydrodynamics oil refinery effluent North Bay 1) internal inputs of oil refinery wastewaters from pro-

Presser, Theresa S.; Luoma, Samuel N.

2013-01-01T23:59:59.000Z

336

The Cost of the Technological Sublime: Daring Ingenuity and the new San Francisco-Oakland Bay Bridge  

E-Print Network (OSTI)

regional entity, the Golden Gate Bridge. Highway andinternationally known Golden Gate Bridge, which is in closeof the world-renowned Golden Gate Bridge and the Bay Bridges

Frick, Karen Trapenberg

2008-01-01T23:59:59.000Z

337

A comparison of bird use and species diversity of created and natural salt marshes in the Galveston Bay complex, Texas.  

E-Print Network (OSTI)

??Birds were censused in seven natural and seven created salt marshes in lower Galveston Bay from October 1990 through September 1991 to evaluate differences in (more)

Melvin, Stefani Lynn

2012-01-01T23:59:59.000Z

338

Ecosystem-scale Selenium Model for the San Francisco Bay-Delta Regional Ecosystem Restoration Implementation Plan  

E-Print Network (OSTI)

Canal Sacramento Valley ? Yolo Bypass (drains, west-sideSe effluents* North Bay streams Inflow (import) YoloBypass Yolo Bypass Sacramento/San Joaquin River Delta Los

Presser, Theresa S.; Luoma, Samuel N.

2013-01-01T23:59:59.000Z

339

Categorical Exclusion Determinations: California | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

April 4, 2013 April 4, 2013 CX-010350: Categorical Exclusion Determination Aerial Photography Activity Over the Proposed Richmond Bay Campus CX(s) Applied: B3.2 Date: 04/04/2013 Location(s): California Offices(s): Berkeley Site Office April 3, 2013 CX-010257: Categorical Exclusion Determination Characterizing Fracture Properties Using Resistivity measured at Different Frequencies CX(s) Applied: A9, B3.6 Date: 04/03/2013 Location(s): California Offices(s): Golden Field Office March 28, 2013 CX-010567: Categorical Exclusion Determination Lawrence Berkeley National Laboratory - Rapid Automated Modeling and Simulation of Existing Buildings for Energy Efficiency CX(s) Applied: B3.6 Date: 02/28/2013 Location(s): California, District of Columbia Offices(s): Advanced Research Projects Agency-Energy

340

Categorical Exclusion Determinations: Montana | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

February 5, 2010 February 5, 2010 CX-001080: Categorical Exclusion Determination Montana State Energy Program American Recovery and Reinvestment Act Award CX(s) Applied: A9, A11, B5.1 Date: 02/05/2010 Location(s): Montana Office(s): Energy Efficiency and Renewable Energy, Golden Field Office February 5, 2010 CX-001988: Categorical Exclusion Determination Montana State Energy Program (SEP) American Recovery and Reinvestment Act (ARRA) Award CX(s) Applied: A9, A11, B5.1 Date: 02/05/2010 Location(s): Montana Office(s): Energy Efficiency and Renewable Energy, Golden Field Office January 13, 2010 CX-000599: Categorical Exclusion Determination Flathead Substation Bay Addition - L0307 CX(s) Applied: B4.6 Date: 01/13/2010 Location(s): Flathead County, Montana Office(s): Bonneville Power Administration

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Categorical Exclusion Determinations: National Energy Technology Laboratory  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

10, 2009 10, 2009 CX-000369: Categorical Exclusion Determination New Jersey Compressed Natural Gas Refuse Trucks, Shuttle Buses and Infrastructure CX(s) Applied: A9, A11 Date: 12/10/2009 Location(s): Rockaway, New Jersey Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 10, 2009 CX-000368: Categorical Exclusion Determination New York State Alternative Fuel Vehicle & Infrastructure Deployment CX(s) Applied: A9, A11 Date: 12/10/2009 Location(s): Albany, New York Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory December 10, 2009 CX-000367: Categorical Exclusion Determination Long Island Regional Energy Collaborative CX(s) Applied: A9, A11 Date: 12/10/2009 Location(s): Bay Shore, New York

342

HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT  

SciTech Connect

Sea Lion applied for and received a grant from the Department of Energy (DOE) towards this end titled ??Energy Efficiency Development and Deployment in Indian Country?. The initial objectives of the Hooper Bay Energy Efficiency Feasibility Study were to demonstrate a 30% reduction in residential/commercial energy usage and identify the economic benefits of implementing energy efficiency measures to the Tribe through: (1) partnering with Whitney Construction and Solutions for Healthy Breathing in the training and hire of 2 local energy assessors to conduct energy audits of 9 representative housing models and 2 commercial units in the community. These homes are representative of 52 homes constructed across different eras. (2) partnering with Cold Climate Housing Research Center to document current electrical and heating energy consumption and analyze data for a final feasibility report (3) assessing the economics of electricity & heating fuel usage; (4) projecting energy savings or fossil fuel reduction by modeling of improvement scenarios and cost feasibility The following two objectives will be completed after the publication of this report: (5) the development of materials lists for energy efficiency improvements (6) identifying financing options for the follow-up energy efficiency implementation phase.

SEA LION CORPORATION; COLD CLIMATE HOUSING RESEARCH CENTER; SOLUTIONS FOR HEALTHY BREATHING; WHITNEY CONSTRUCTION

2012-12-30T23:59:59.000Z

343

Ecosystem under pressure: Ballast water discharge into Galveston Bay, Texas (USA) from 2005 to 2010  

Science Journals Connector (OSTI)

Ballast water exchange processes facilitate the dispersal and unnatural geographic expansion of phytoplankton, including harmful algal bloom species. From 2005 to 2010, over 45,000 vessels (?8000 annually) travelled across Galveston Bay (Texas, USA) to the deep-water ports of Houston (10th largest in the world), Texas City and Galveston. These vessels (primarily tankers and bulkers) discharged ?1.2נ108metrictons of ballast water; equivalent to ?3.4% of the total volume of the Bay. Over half of the ballast water discharged had a coastwise origin, 96% being from US waters. Galveston Bay has fewer non-indigenous species but receives a higher volume of ballast water discharge, relative to the highly invaded Chesapeake and San Francisco Bays. Given the magnitude of shipping traffic, the role of Galveston Bay, both as a recipient and donor region of non-indigenous phytoplankton species is discussed here in terms of the invasibility risk to this system by way of ballast water.

Jamie L. Steichen; Rachel Windham; Robin Brinkmeyer; Antonietta Quigg

2012-01-01T23:59:59.000Z

344

Modern technology in an old area - Bay Marchand field revisited  

SciTech Connect

Bay Marchand Field, a giant Gulf of Mexico oil field discovered in 1949, is undergoing renewed drilling activity as the result of a three-dimensional (3-D) seismic survey. The field, situated over a large salt diapir, is characterized by complex fault systems and typical Gulf Coast regressive sedimentation. As of 1989, over 700 wells had produced 518 MMBO and 379 bcfg of gas from the field. The 3-D survey covers over 60 mi{sup 2} and was shot for the following objectives; (1) to delineate new pools, (2) to review mature areas for additional development opportunities, and (3) to assist in reservoir management. Geophysically, the survey was designed to cover all common-depth-point bins and to provide for maximum horizontal and vertical resolution. The difficulty of obtaining such full coverage was heightened by numerous surface facilities dotting the field. But the data were successfully acquired through state-of-the-art techniques. To date, structural interpretation of the survey has led to a better definition of the salt/sediment interface and good correlation of fault patterns and the resulting reservoir geometries. Stratigraphically, better understanding of paleoenvironments, log correlations, and sand distribution has resulted. The benefits of these improvements are manifested in several new successful wells in both mature and undeveloped portions of the field as well as the recognition that other wells are now no longer necessary. Also, secondary recovery programs, specifically waterfloods, are being improved. The result will be an increase in total reserves as well as daily production.

Abriel, W.L.; Neale, P.S.; Tissue, J.S.; Wright, R.M. (Chevron U.S.A., New Orleans, LA (USA))

1990-05-01T23:59:59.000Z

345

Chemical and physical speciation of mercury in Offatts Bayou: A seasonally anoxic bayou in Galveston Bay  

SciTech Connect

A chemical equilibrium model was used to predict the solution speciation of dissolved mercury (Hg) in the stratified water column of Offatts Bayou, a subestuary in Galveston Bay, Texas, which undergoes seasonal anoxia in bottom waters. Chemical equilibrium modeling was conducted using conditional stability constants and concentrations of Hg-complexing organic ligands experimentally determined by competitive ligand equilibration methods. Dissolved Hg complexation was dominated by interactions with sulfide and dissolved organic matter (DOM) (HOHgHS0, HOHgHS(DOM), HgSHS2, and HgS 2{ 2 ) at all depths. Sulfide and glutathione competed for methylmercury (MeHg) complexation in oxic layers; in anoxic waters, sulfide complexation dominated MeHg speciation. The particlewater distribution coefficient (Kd) of Hg decreased in the anoxic layer of the water column, where the dissolved sulfide concentration increased, providing evidence that sulfide complexation influences the solubility of Hg. The solubility of MeHg was elevated in the anoxic as compared to the oxic layers, and this distributional feature was coincident with a change in the solution speciation of dissolved MeHg from glutathione/sulfide complexation in the oxic layers to a predominantly sulfide complexation in the anoxic layers. Maximum enrichment of Hg, MeHg, and iron (Fe) in suspended particulate matter was observed in the lower layer of the pycnocline, most likely resulting from formation of insoluble Fe oxide, which scavenged dissolved Hg sulfide and MeHg-sulfide species. The concomitant decrease in dissolved inorganic Hg, Fe, and sulfide in the anoxic layers is suggested to result from scavenging of inorganic Hg by FeS, which is in accordance with the Hg speciation model. Overall, Hg cycling in the water column of Offatts Bayou was associated with sulfide and DOM complexation, Fe dissolution/precipitation, water column production of MeHg, and/or efflux of MeHg from anoxic sediment.

Han, Seunghee; Lehman, Ronald D.; Choe, Key-Young; Gill, Gary A.

2007-07-01T23:59:59.000Z

346

EA-1992: Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon  

Energy.gov (U.S. Department of Energy (DOE))

Funding for Principle Power, Inc., for the WindFloat Pacific Offshore Wind Demonstration Project, offshore of Coos Bay, Oregon

347

Finding of No Significant Impact for the Storage of Tritium-Producing Burnable Absorber Rods in K-Area Transfer Bay at the Savannah River Site (DOE/EA-1528) (06/01/05)  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

the the Storage of Tritium-Producing Burnable Absorber Rods in K-Area Transfer Bay at the Savannah River Site Agency: U.S. Department of Energy (DOE) Action: Finding of No Significant Impact Summary: The DOE Savannah River Operations Office (SR) and the National Nuclear Security Administration (NNSA) Savannah River Site Office (SRSO) have prepared an environmental assessment (EA), DOE/EA-1528, to evaluate the potential environmental impacts of the temporary dry storage of a cask containing Tritium- Producing Burnable Absorber Rods (TPBARs) in the Transfer Bay in K Area at the Savannah River Site (SRS). Based on the analyses in the EA, DOE has determined that the proposed action is not a major Federal action significantly affecting the quality of the

348

Bayes Blocks: A Python Toolbox for Variational Bayesian Antti Honkela, Markus Harva, Tapani Raiko, Harri Valpola, and Juha Karhunen  

E-Print Network (OSTI)

, Tapani Raiko, Harri Valpola, and Juha Karhunen October 26, 2006 Bayes Blocks [1] is a software library as a graphical model. References [1] M. Harva, T. Raiko, A. Honkela, H. Valpola, and J. Karhunen. Bayes Blocks, H. Valpola, M. Harva, and J. Karhunen. Building blocks for variational Bayesian learning of latent

Honkela, Antti

349

RMP DIOXIN STRATEGY San Francisco Bay was placed on the State of California's 303(d) list of impaired waterways in  

E-Print Network (OSTI)

RMP DIOXIN STRATEGY San Francisco Bay was placed on the State of California's 303(d) list of impaired waterways in 1998 as a result of elevated concentrations of dioxins and furans (commonly referred to as only `dioxin') in fish. RMP studies of contaminants in Bay sport fish conducted every three years since

350

Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Bay Area to Highlight Bay Area to Highlight State of the Union Address, Commitment to Clean Energy Energy Secretary Steven Chu to Travel to Bay Area to Highlight State of the Union Address, Commitment to Clean Energy January 31, 2012 - 7:38pm Addthis Washington, D.C. - As part of the Energy Department's ongoing efforts to highlight President Obama's State of the Union address and discuss the Obama Administration's commitment to American energy resources and innovation, tomorrow, Wednesday, February 1, U.S. Energy Secretary Steven Chu will headline a groundbreaking ceremony for Lawrence Berkeley National Laboratory's new Computational Research and Theory Facility, a cutting-edge supercomputing facility. Secretary Chu will also host a State of the Union Town Hall and take questions from students and faculty

351

Risks of consumption of contaminated seafood: The Quincy Bay case study  

SciTech Connect

A recent EPA-sponsored study of sediment and seafood contamination in Quincy Bay revealed elevated levels of several complex organic pollutants frequently of concern in human health assessments. A seafood consumption risk assessment was conducted using data from samples collected in Quincy Bay in the methodology developed for EPA's Office of Marine and Estuarine Protection for such assessments. Results showed estimate plausible, upperbound excess cancer risks in the 10{sup {minus}5} to 10{sup {minus}2} range. These results are comparable to those found in other seafood contamination risk assessments for areas where consumption advisories and fishing restrictions were implemented. Regulatory response included consumption advisories for lobster tomalley (hepatopancreas) and other types of locally caught seafood. Uncertainties inherent in seafood risk assessment in general and for the Quincy Bay case are discussed, along with implications for further action.

Cooper, C.B.; Doyle, M.E. (Metcalf and Eddy, Inc., Wakefield, MA (United States)); Kipp, K. (Environmental Protection Agency, Boston, MA (United States))

1991-01-01T23:59:59.000Z

352

Evaluation of Mercury Transformations and Trophic Transfer in the San Francisco Bay/Delta: Identifying Critical Processes for the Ecosystem Restoration Program  

E-Print Network (OSTI)

Evaluation of Mercury Transformations and Trophic Transfer in the San Francisco Bay of Mercury Transformations and Trophic Transfer in the San Francisco Bay/Delta: Identifying Critical mercury contamination of the San Francisco Bay (SFB) watershed, resulting largely from historic mining

353

Bay Controls & Ford Teaming Profile | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Bay Controls & Ford Teaming Profile Bay Controls & Ford Teaming Profile Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

354

Ann bay lodyans 2 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a  

E-Print Network (OSTI)

KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 2 se Bryant Freeman (Tonton Liben) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries Office of Scholarly... Communication and Copyright. Please share your stories about how Open Access to this article benefits you. This is the published version of the book, made available with the permission of the publisher. Freeman, Bryant C., ed. Ann bay lodyans 2 / se Bryant...

Freeman, Bryant C., ed.

2000-01-01T23:59:59.000Z

355

The distribution and diurnal variation of phosphorus in some Texas bays  

E-Print Network (OSTI)

L &IBR&Ry A 4 M COLLEGE OF TBfAS THE DISTRIBUTION AND DIURNAL VARIATION OF PHOSPHORUS IN SOME TEXAS BAYS A Thesis By Herbert E. Bruce Subnitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial... fulfillnent of the requirenents for the degree of MASTER OF SCIENCE May 1959 Major Sub/oct: Chenical Oceanography THE DISTRIBUTION AND DIURNAL VARIATION OP PHOSPHORUS IN SOLlE TEXAS BAYS A Thesis Herbert E. Bruce Approved as to style and content by...

Bruce, Herbert Ernest

1959-01-01T23:59:59.000Z

356

Polychlorinated biphenyls in water, sediment and selected organisms of Galveston Bay, Texas: environmental levels and bioaccumulation  

E-Print Network (OSTI)

organisms of Galveston Bay, Texas was conducted at 8 locations in the Bay during 1978-1979. PCB contaudnation was greater in water and ~t samples fr?xn sites proximal to petro- chemical industry. These sites were associated with the Houston and the Te... in the uptake experiment 92 14. E t t of C 11' td ~d ft ld d y of seawater exposure 93 15. Uptake of Aroclor 1016 by test organisms exposed to contaminated food for 10 days 97 16. 6 t t f 6 1 C~f ~t f feeding on contaminated food for 10 days 98 17...

Stahl, Ralph Garner

2012-06-07T23:59:59.000Z

357

Abundance and distribution of the western Gulf stone crab (Menippe adina) in Galveston Bay, Texas  

E-Print Network (OSTI)

I BUNDANCE AND DI STRISUT . ON OF THE WESTERN GULF STOiuE CRAB LilFNIL'PC l', Diijil) IN GALVESTON BAY TEXAS Thesis JALXE iiURRAY HOSLET SuL&mitted to th= Office of Graduate Studies of Texa Aai1 University in :. a- Dial fulfullment... of the requirements for the deqree of MAS'I ~ R OI" SCIENCE May 19B9 Major subject: Wildlife and Fisheries Sciences ABUNDANCE AND DISTRIBUTION OF THE WESTERN GULF STONE CRAB (NENIPPE ADINA) IN GALVESTON BAY, TEXAS A Thesis by JANE MURRAY BOSLET Approved...

Boslet, Jane Murray

2012-06-07T23:59:59.000Z

358

Age and growth of black drum (Pogonias cromis) from Galveston Bay, Texas  

E-Print Network (OSTI)

AGE AND GROWTH OF BLACK DRUM ~ ~i) FROM GALVESTON BAY, TEXAS A Thesis by John Mark King Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May 1992 Major... Subject: Wildlife and Fisheries Sciences AGE AND GROWTH OF BLACK DRUM (~Po onias cromis) FROM GALVESTON BAY, TEXAS AThesis by J. Nark King Approved as to style and content by. Andre M. Landry, Jr. (Co-Chairman of Committee ~??' I)~~/ Donald E...

King, John Mark

2012-06-07T23:59:59.000Z

359

Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations  

SciTech Connect

DOD's U.S. Pacific Command has partnered with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency in Hawaii installations. NREL selected Marine Corps Base Hawaii (MCBH), Kaneohe Bay to receive technical support for net zero energy assessment and planning funded through the Hawaii Clean Energy Initiative (HCEI). NREL performed a comprehensive assessment to appraise the potential of MCBH Kaneohe Bay to achieve net zero energy status through energy efficiency, renewable energy, and electric vehicle integration. This report summarizes the results of the assessment and provides energy recommendations.

Burman, K.; Kandt, A.; Lisell, L.; Booth, S.; Walker, A.; Roberts, J.; Falcey, J.

2011-11-01T23:59:59.000Z

360

Progress in Decommissioning the Humboldt Bay Power Plant - 13604  

SciTech Connect

Decommissioning of the Pacific Gas and Electric (PG and E) Company Humboldt Bay Power Plant (HBPP) Unit 3 nuclear facility has now, after more than three decades of SAFSTOR and initial decommissioning work, transitioned to full-scale decommissioning. Decommissioning activities to date have been well orchestrated and executed in spite of an extremely small work site with space constricted even more by other concurrent on-site major construction projects including the demolition of four fossil units, construction of a new generating station and 60 KV switchyard upgrade. Full-scale decommissioning activities - now transitioning from Plant Systems Removal (PG and E self-perform) to Civil Works Projects (contractor performed) - are proceeding in a safe, timely, and cost effective manner. As a result of the successful decommissioning work to date (approximately fifty percent completed) and the intense planning and preparations for the remaining work, there is a high level of confidence for completion of all HBPP Unit 3 decommissions activities in 2018. Strategic planning and preparations to transition into full-scale decommissioning was carried out in 2008 by a small, highly focused project team. This planning was conducted concurrent with other critical planning requirements such as the loading of spent nuclear fuel into dry storage at the Independent Spent Fuel Storage Installation (ISFSI) finishing December 2008. Over the past four years, 2009 through 2012, the majority of decommissioning work has been installation of site infrastructure and removal of systems and components, known as the Plant System Removal Phase, where work scope was dynamic with significant uncertainty, and it was self-performed by PG and E. As HBPP Decommissioning transitions from the Plant System Removal Phase to the Civil Works Projects Phase, where work scope is well defined, a contracting plan similar to that used for Fossil Decommissioning will be implemented. Award of five major work scopes in various stages of development are planned as they include: Turbine Building Demolition, Nuclear Facilities Demolition and Excavation, Intake and Discharge Canal Remediation, Office Facility Demobilization, and Final Site Restoration. Benefits realized by transitioning to the Civil Works Projects Phase with predominant firm fixed-price/fixed unit price contracting include single civil works contractor who can coordinate concrete shaving, liner removal, structural removal, and other demolition activities; streamline financial control; reduce PG and E overhead staffing; and provide a specialized Bidder Team with experience from other similar projects. (authors)

Rod, Kerry [PG and E Utility, Humboldt Bay Power Plant, 1000 King Salmon Ave. Eureka, CA 95503 (United States)] [PG and E Utility, Humboldt Bay Power Plant, 1000 King Salmon Ave. Eureka, CA 95503 (United States); Shelanskey, Steven K. [Anata Management Solutions, 5180 South Commerce Dr,, Suite F Murray, UT 84107 (United States)] [Anata Management Solutions, 5180 South Commerce Dr,, Suite F Murray, UT 84107 (United States); Kristofzski, John [CH2MHILL, 295 Bradley Blvd. Suite 300, Richland WA 99353 (United States)] [CH2MHILL, 295 Bradley Blvd. Suite 300, Richland WA 99353 (United States)

2013-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

AIRBORNE MEASUREMENTS OF OZONE AND REACTIVE NITROGEN COMPOUNDS IN TAMPA, FLORIDA DURING THE BAY REGIONAL  

E-Print Network (OSTI)

. The overall objective of the aircraft measurements in BRACE was to study the emission, transport areas, over the centers of Tampa and St. Petersburg, and over Tampa Bay and the Gulf of Mexico the advection path) and, in other cases, over the Gulf of Mexico, where additional chemical inputs were

362

Composition of Fish Communities in a European Macrotidal Salt Marsh (the Mont Saint-Michel Bay,  

E-Print Network (OSTI)

Composition of Fish Communities in a European Macrotidal Salt Marsh (the Mont Saint-Michel Bay At least 100 fish species are known to be present in the intertidal areas (estuaries, mudflats and salt, such as estuaries and lagoons, play a nursery role for many fish species. However, in Europe little attention has

Boyer, Edmond

363

July 28, 1990, Galveston Bay, Texas--The Greek Tank Vessel, Shinoussa, collided  

E-Print Network (OSTI)

was extensive. Oil impacted shorelines, birds, emergent marsh, and aquatic resources. The removal finned fish was banned from Galveston Bay and a ban on shellfish and shrimp removal remained in effect for more than, and additional marsh terraces were built on 121 acres of shallow, open-water bottom. A 57-acre site

364

Spatial and temporal variations in trace metal concentrations in sediments and oysters from Galveston Bay, Texas  

E-Print Network (OSTI)

TBV1 GBT ~ FBHA BEP QBER CJALVETTOh' BAY ~ I 'GB54EBBH Olf INT eQBH ISAAC CITY 5 Cf C LUC5IOH NAHCI J C 5 I' tP pt pet J lraa al ~f I la 5 J C 5 5OJY Fig. 3. Sampling locations where sediments and/or oysters were collected on Trips...

Jiann, Kuo-Tung

1993-01-01T23:59:59.000Z

365

Factors Affecting Carbohydrate Production and Loss in Salt Marsh Sediments of Galveston Bay  

E-Print Network (OSTI)

in the surface 5 mm of intertidal sediment in a subtropical salt marsh (Galveston Bay, Texas). Nitrogen and phosphorus were added to cores collected from the salt marsh and incubated in the lab over four days. Very little change was seen in the biomass...

Wilson, Carolyn E.

2010-10-12T23:59:59.000Z

366

THE SPAWNING CYCLE OF SOFT-SHELL CLAM, MYA ARENARIA, IN SAN FRANCISCO BAY  

E-Print Network (OSTI)

Isabel-north of the Golden Gate Fields race track on the eastern shore of San Francisco Bay (lat. 37- immediately north of the San Mateo Bridge, off Third Street(lat. 37°34'20"N, long. 122°23'28"W); 4) Point

367

SALINITY AND TEMPERATURE IN SOUTH SAN FRANCISCO BAY, CALIFORNIA, AT DUMBARTON BRIDGE  

E-Print Network (OSTI)

-mean-square) Tide (height) at Dumbarton Bridge and the Golden Gate Bridge during 2000WYSALINITY AND TEMPERATURE IN SOUTH SAN FRANCISCO BAY, CALIFORNIA, AT DUMBARTON BRIDGE: RESULTS FROM . . . . . . . . . . . . . . . . . . . 25 Fig. 10. Time-series plots of daily mean salinity at Dumbarton Bridge for 1990WY-1993WY, 1994WY

368

Secretary of Natural Resources Laird Praises Independent Science Review of Bay Delta Plan  

E-Print Network (OSTI)

Secretary of Natural Resources Laird Praises Independent Science Review of Bay Delta Plan, independent scientists peer review the adequacy of the many vital science components of this plan and publicly will have with stakeholders. Also, this independent, peer review helps create a more dynamic, sound plan

369

Heavy Metals contamination in two bioluminescent bays of Puerto Rico Yadira Soto Viruet  

E-Print Network (OSTI)

1 Heavy Metals contamination in two bioluminescent bays of Puerto Rico Yadira Soto Viruet #802 characteristics. The main purpose of this research was to evaluate the presence of heavy metals of pesticides for agriculture, untreated wastewater and variety of industrial activities (power plants, oil

Gilbes, Fernando

370

Genome Sequence of Mercury-Methylating and Pleomorphic Desulfovibrio africanus strain Walvis Bay  

SciTech Connect

Desulfovibrio africanus strain Walvis Bay is an anaerobic sulfate-reducing bacterium capable of producing methylmercury (MeHg), a potent human neurotoxin. The mechanism of methylation by this and other organisms is unknown. We present the 4.2-Mb genome sequence to provide further insight into microbial mercury methylation and sulfate-reducing bacteria.

Brown, Steven D [ORNL; Wall, Judy D. [University of Missouri; Kucken, A M [University of Missouri, Columbia; Gilmour, C C [Smithsonian Environmental Research Center, Edgewater, MD; Podar, Mircea [ORNL; Brandt, Craig C [ORNL; Teshima, Hazuki [Los Alamos National Laboratory (LANL); Detter, J C [U.S. Department of Energy, Joint Genome Institute; Han, Cliff [Los Alamos National Laboratory (LANL); Land, Miriam L [ORNL; Lucas, Susan [U.S. Department of Energy, Joint Genome Institute; Han, James [U.S. Department of Energy, Joint Genome Institute; Pennacchio, Len [U.S. Department of Energy, Joint Genome Institute; Nolan, Matt [U.S. Department of Energy, Joint Genome Institute; Pitluck, Samual [U.S. Department of Energy, Joint Genome Institute; Woyke, Tanja [ORNL; Goodwin, Lynne A. [Los Alamos National Laboratory (LANL); Palumbo, Anthony Vito [ORNL; Elias, Dwayne A [ORNL

2011-01-01T23:59:59.000Z

371

Numerical simulation of internal tides and the resulting energetics within Monterey Bay and the surrounding area  

E-Print Network (OSTI)

tides are generated at critical topography and observe that most of the energy propagates into the Mon. These results are used to compute internal tide energy flux and energy flux divergence to analyze internal tideNumerical simulation of internal tides and the resulting energetics within Monterey Bay

Fringer, Oliver B.

372

Research paper Constraining the age of the last interglacialeglacial transition in the Hudson Bay  

E-Print Network (OSTI)

Research paper Constraining the age of the last interglacialeglacial transition in the Hudson Bay lowlands (Canada) using UeTh dating of buried wood G. Allarda,b , M. Roya,b,*, B. Ghalebb , P.J.H. Richardc , A.C. Larouchec , J.J. Veilletted , M. Parente a Department of Earth and Atmospheric Sciences

373

EIS-0296: South Oregon Coast Reinforcement Project, Coos Bay/North Bend, Oregon  

Energy.gov (U.S. Department of Energy (DOE))

Bonneville Power Administration proposes to build a 500- kilovolt (kV) transmission line and new substation to reinforce electrical service to the southern coast of the state of Oregon. Nucor Steel, a division of Nucor Corporation, may build a new steel mill in the Coos Bay/North Bend, Oregon, area.

374

Assessment of arrays of in-stream tidal turbines in the Bay of Fundy  

Science Journals Connector (OSTI)

...Assessment of arrays of in-stream tidal turbines in the Bay of Fundy Richard Karsten...energy . Theories of in-stream turbines are adapted to analyse the potential electricity generation and impact of turbine arrays deployed in Minas Passage...

2013-01-01T23:59:59.000Z

375

Salinity patterns of Florida Bay Christopher R. Kelble a,*, Elizabeth M. Johns b  

E-Print Network (OSTI)

; salinity gradient; environmental monitoring; spatial distribution; seasonal variability 1. IntroductionSalinity patterns of Florida Bay Christopher R. Kelble a,*, Elizabeth M. Johns b , William K November 2005; accepted 5 August 2006 Available online 26 September 2006 Abstract The salinity of Florida

376

CRASSOSTREA ARIAKENSIS IN CHESAPEAKE BAY: GROWTH, DISEASE AND MORTALITY IN SHALLOW SUBTIDAL ENVIRONMENTS  

E-Print Network (OSTI)

(Crassostrea ariakensis) oysters were deployed in cages at four sites along a salinity gradient in Chesapeake Bay. In Maryland, the lowest salinity site was located in the Severn River and two low to mid-salinity sites were located in the Choptank and Patuxent Rivers. The highest salinity site was located

Paynter, Kennedy T.

377

Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten Nielsen,  

E-Print Network (OSTI)

Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten ocean wind maps were described. For offshore wind resource estimation based on satellite observations and the near-coastal zone (up to 40 km offshore) is not mapped. In contrast, Envisat ASAR wind maps can

378

Simulation of Estuarine Flooding and Dewatering with Application to Great Bay, New Hampshire  

E-Print Network (OSTI)

Simulation of Estuarine Flooding and Dewatering with Application to Great Bay, New Hampshire Justin Coastal & Shelf Science (in press) Abstract A finite element model for simulating tidal flooding implicitly with iteration in time. Simulations of idealized channels conserve mass, display physically

379

Seismic Properties of Anita Bay Dunite: an Exploratory Study of the Influence of Water  

E-Print Network (OSTI)

Seismic Properties of Anita Bay Dunite: an Exploratory Study of the Influence of Water YOSHITAKA As a pilot study of the role of water in the attenuation of seismic waves in the Earth's upper mantle, we have performed a series of seismic-frequency torsional forced-oscillation experiments on a natural

380

Delphinid spatial distribution and abundance estimates over the shelf of the Bay of Biscay  

E-Print Network (OSTI)

of Biscay. ­ ICES Journal of Marine Science, 65. The small delphinid community (bottlenose Tursiops- transect aerial surveys conducted between 2001 and 2004 and ship-based surveys conducted between 2003 hotspots located in the north and the south of the bay. Using ship-based data, we found strong spatial

Boyer, Edmond

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Incorporating Optics into a Coupled Physical-Biological Forecasting System in the Monterey Bay  

E-Print Network (OSTI)

Incorporating Optics into a Coupled Physical-Biological Forecasting System in the Monterey Bay Fei://www.marine.maine.edu/~eboss/index.html http://ourocean.jpl.nasa.gov/ LONG-TERM GOALS Modeling and predicting ocean optical properties for coastal waters requires linking optical properties with the physical, chemical, and biological processes

Boss, Emmanuel S.

382

The School for Marine Science and Technology Framework for Formulating the Mt. Hope Bay  

E-Print Network (OSTI)

Technical Report No. SMAST-03-0501 The School for Marine Science and Technology University of Massachusetts #12;iii List of Tables Table 2.1. Narragansett Bay PORTS station data products phases are in Greenwich epoch degrees............... 29 Table 3.1. Summary of estuarine and marine

Chen, Changsheng

383

HOW BIG WAS THE CHESAPEAKE BAY IMPACT? INSIGHT FROM NUMERICAL MODELING. G. S. Collins1  

E-Print Network (OSTI)

the Chesapeake Bay and Delmarva Peninsula in Virginia, USA, lies a large im- pact structure. It was discovered as a result of an anomalous breccia layer in boreholes from the eastern seaboard of the United States [1 on the interpretation of seismic reflection data and drill cores [2, 7-10]. In schematic terms, the basement structure

Collins, Gareth

384

Observations of an oil spill bioremediation activity in Galveston Bay, Texas. Technical memo  

SciTech Connect

Bioremediation is a technology that attempts to accelerate microbial degradation of oil or other substances. This involves the application of nutrients or microbial products to contaminated environments. The goal is to enhance the natural process of chemical degradation. The report summarizes observations on the application and monitoring of a bioremediation activity in oiled marshes of Galveston Bay, Texas in August 1990.

Mearns, A.J.

1991-06-01T23:59:59.000Z

385

Hurricane Damage Sustained by the Oyster Industry and the Oyster Reefs Across the Galveston Bay System  

E-Print Network (OSTI)

Hurricane Damage Sustained by the Oyster Industry and the Oyster Reefs Across the Galveston Bay Economics and Wildlife and Fisheries Sciences Texas AgriLife Extension Service Sea Grant College Program., Russell J. Miget, and Lawrence L. Falconer. "Hurricane Damage Sustained by the Oyster Industry

386

Proposal Title: Implementing FORMS for ROMS and HOPS for the Monterey Bay forecasting system  

E-Print Network (OSTI)

Proposal Title: Implementing FORMS for ROMS and HOPS for the Monterey Bay forecasting system will implement a feature-oriented initialization scheme for both west coast ROMS and HOPS. The large Feature oriented Initialization Procedure development (ROMS and HOPS) Initialization Sensitivity runs

Gangopadhyay, Avijit

387

Oxygen isotopic disequilibrium in plagioclasecorundumhercynite xenoliths from the Voisey's Bay Intrusion, Labrador, Canada  

E-Print Network (OSTI)

Oxygen isotopic disequilibrium in plagioclase­corundum­hercynite xenoliths from the Voisey's Bay to skeletal. Ion microprobe analyses indicate that oxygen isotopic equilibrium was neither established during corundum is characterized by 18 O values between 2.5 and 7.6. Oxygen isotopic equilibration with mantle

388

A Meta-analysis of Mercury Levels in Lavaca Bay Texas  

E-Print Network (OSTI)

A META-ANALYSIS OF MERCURY LEVELS IN LAVACA BAY TEXAS A Thesis by MARIA C. PILLADO Submitted to the Office of Graduate and Professional Studies of Texas A&M University and the Graduate Faculty of The Texas A&M University Corpus... Subject: Marine Biology Copyright 2014 Maria C. Pillado ...

Pillado, Cecilia Maria

2014-05-07T23:59:59.000Z

389

Utilization of submerged aquatic vegetation habitats by fishes and decapods in the Galvestion Bay Ecosystem, Texas  

E-Print Network (OSTI)

. . . MATERIALS AND METHODS. . . . . . Page tu Site Selection. . Sampling Design. . Sampling Procedures. Statistical Analysis. 4 5 6 7 RESULTS. . Fish and Decapod Abundance and Distribution... the importance of physical, environtnental and other biological variables for each habitat site in relation to faunal density. MATERIALS AND METHODS Site Selection Three areas (six sites) within the Galveston Bay complex (Figure 1) were selected based...

Scott, Elizabeth A.

2012-06-07T23:59:59.000Z

390

Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments  

E-Print Network (OSTI)

Bayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments, 2008 1 Introduction Reservoir simulators are important and widely-used tools for oil reservoir for reservoirs, where the model inputs are physical parameters, such as the permeability and porosity of various

Oakley, Jeremy

391

Coastal Wind Mapping from Satellite SAR: Possibilities and Limitations Charlotte Bay Hasager and Merete Bruun Christiansen  

E-Print Network (OSTI)

and Merete Bruun Christiansen Risø National Laboratory, Wind Energy Department, Meteorology Program, VEA-118 Centre in Norway (Furevik & Espedal 2002). The CMOD4 model is only able to solve for wind speed under- 21 - Coastal Wind Mapping from Satellite SAR: Possibilities and Limitations Charlotte Bay Hasager

392

Categorical Exclusion Determinations: Berkeley Site Office | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Berkeley Site Office Berkeley Site Office Categorical Exclusion Determinations: Berkeley Site Office Categorical Exclusion Determinations issued by Berkeley Site Office. DOCUMENTS AVAILABLE FOR DOWNLOAD April 22, 2013 CX-010348: Categorical Exclusion Determination Joint BioEnergy Institute CX(s) Applied: B1.24, B3.6 Date: 04/22/2013 Location(s): California Offices(s): Berkeley Site Office April 19, 2013 CX-010349: Categorical Exclusion Determination Test House CX(s) Applied: B1.24; B1.4; B3.6 Date: 04/19/2013 Location(s): California Offices(s): Berkeley Site Office April 4, 2013 CX-010350: Categorical Exclusion Determination Aerial Photography Activity Over the Proposed Richmond Bay Campus CX(s) Applied: B3.2 Date: 04/04/2013 Location(s): California Offices(s): Berkeley Site Office March 1, 2013

393

CX-006450: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

450: Categorical Exclusion Determination 450: Categorical Exclusion Determination CX-006450: Categorical Exclusion Determination Flash Foods Job Creation and Petroleum Independence for Higher Ethanol Blends CX(s) Applied: B5.1 Date: 08/11/2011 Location(s): St. Mary's, Georgia Office(s): Energy Efficiency and Renewable Energy, Golden Field Office DOE is proposing to provide federal funding to Protec Fuel Management to convert an existing underground storage tank and install a fueling dispenser for ethanol at a fueling station in St. Mary's, Georgia. This newly proposed location replaces a previously proposed (and Cxed) site in King's Bay. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-006450.pdf More Documents & Publications CX-004651: Categorical Exclusion Determination CX-001720: Categorical Exclusion Determination

394

CX-004180: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Categorical Exclusion Determination 0: Categorical Exclusion Determination CX-004180: Categorical Exclusion Determination Three Wackenhut Services, Incorporated-Savannah River Site Infrastructure Improvement Projects in B-Area CX(s) Applied: B1.15 Date: 09/23/2010 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office Wackenhut Services, Incorporated-Savannah River Site (WSI-SRS) proposes to replace the Radio Shop Vehicle Bay Floor in 703-B, install a 1,000-gallon above-ground tank for the storage of used automotive oil outside of 716-B, and construct a mobile kennel washout station adjacent to 703-23B. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-004180.pdf More Documents & Publications CX-004182: Categorical Exclusion Determination CX-005851: Categorical Exclusion Determination

395

The Carolina Bay Restoration Project - Status Report II 2000-2004.  

SciTech Connect

A Wetlands Mitigation Bank was established at SRS in 1997 as a compensatory alternative for unavoidable wetland losses. Prior to restoration activities, 16 sites included in the project were surveyed for the SRS Site Use system to serve as a protective covenant. Pre-restoration monitoring ended in Fall 2000, and post restoration monitoring began in the Winter/Spring of 2001. The total interior harvest in the 16 bays after harvesting the trees was 19.6 ha. The margins in the opencanopy, pine savanna margin treatments were thinned. Margins containing areas with immature forested stands (bay 5184 and portions of bay 5011) were thinned using a mechanical shredder in November 2001. Over 126 hectares were included in the study areas (interior + margin). Planting of two tree species and the transplanting of wetland grass species was successful. From field surveys, it was estimated that approximately 2700 Nyssa sylvatica and 1900 Taxodium distichum seedlings were planted in the eight forested bays resulting in an average planting density of ? 490 stems ha-1. One hundred seedlings of each species per bay (where available) were marked to evaluate survivability and growth. Wetland grass species were transplanted from donor sites on SRS to plots that ranged in size from 100 300 m2, depending on wetland size. On 0.75 and 0.6 meter centers, respectively, 2198 plugs of Panicum hemitomon and 3021 plugs Leersia hexandra were transplanted. New shoots originating from the stumps were treated with a foliar herbicide (Garlon 4) during the summer of 2001 using backpack sprayers. Preliminary information from 2000-2004 regarding the hydrologic, vegetation and faunal response to restoration is presented in this status report. Post restoration monitoring will continue through 2005. A final report to the Mitigation Bank Review Team will be submitted in mid-2006.

Barton, Christopher

2006-07-13T23:59:59.000Z

396

Impact analysis of MBTA 2009 Key Bus Route Initiative program ; Impact analysis of Massachusetts Bay Transit Agency 2009 Key Bus Route Initiative program ; Impact analysis of Massachusetts Bay Transit Agency 2009 KBRI program .  

E-Print Network (OSTI)

??The Massachusetts Bay Transit Agency (MBTA) has the stated service objectives of customer service excellence, accessibility, reliability, and state-of-the-art technology. Over the last few years, (more)

Woods, Gregory

2010-01-01T23:59:59.000Z

397

Turbulence Mixing and Transport Mechanisms in a Coastal Ecosystem: Bay of La Paz, Baja California Sur, Mexico  

E-Print Network (OSTI)

ABSTRACT Turbulence Mixing and Transport Mechanisms in a Coastal Ecosystem: Bay of La Paz, Baja California Sur, Mexico. (May 2014) Burkely Ashton Pettijohn Department of Marine Sciences Texas A&M University Research Advisor: Dr. Ayal Anis...

Pettijohn, Burkely Ashton

2014-02-10T23:59:59.000Z

398

Numerical simulation of the thermal conditions in a sea bay water area used for water supply to nuclear power plants  

SciTech Connect

Consideration is given to the numerical simulation of the thermal conditions in sea water areas used for both water supply to and dissipation of low-grade heat from a nuclear power plant on the shore of a sea bay.

Sokolov, A. S. [JSC 'B. E. Vedeneev All-Russia Research Institute of Hydraulic Engineering (VNIIG)' (Russian Federation)] [JSC 'B. E. Vedeneev All-Russia Research Institute of Hydraulic Engineering (VNIIG)' (Russian Federation)

2013-07-15T23:59:59.000Z

399

Trophic structure and avian communities across a salinity gradient in evaporation ponds of the San Francisco Bay estuary  

Science Journals Connector (OSTI)

Commercial salt evaporation ponds comprise a large proportion of baylands adjacent to the San Francisco Bay, a highly urbanized estuary. In the past two centuries, more than 79% of the historic tidal wetlands ...

J. Y. Takekawa; A. K. Miles; D. H. Schoellhamer; N. D. Athearn

2006-09-01T23:59:59.000Z

400

Trophic structure and avian communities across a salinity gradient in evaporation ponds of the San Francisco Bay estuary  

Science Journals Connector (OSTI)

Commercial salt evaporation ponds comprise a large proportion of baylands adjacent to the San Francisco Bay, a highly urbanized estuary. In the past two centuries, more than 79% of the historic tidal wetlands ...

J. Y. Takekawa; A. K. Miles; D. H. Schoellhamer

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

Chlorophyll a biomass and growth of sea-ice microalgae along a salinity gradient (southeastern Hudson Bay, Canadian Arctic)  

Science Journals Connector (OSTI)

The biomass of microalgae at the bottom of first-year sea ice, in southeastern Hudson Bay (Canadian Arctic), parallels an inshore-offshore salinity gradient caused by the under-ice plume of ... ice-algal biomass ...

Louis Legendre; Marie-Jose Martineau; Jean-Claude Therriault

1992-09-01T23:59:59.000Z

402

The effect of anthropogenic development on sediment loading to bays on St. John, U.S. Virgin Islands  

E-Print Network (OSTI)

In order to assess the impact of anthropogenic development on sediment delivery rates to bays on St. John, U.S.V.I., I developed a sediment loading prediction model. Based on the modified universal soil loss equation, this ...

McCreery, Helen F

2007-01-01T23:59:59.000Z

403

Temporal development of salt marsh value for nekton and epifauna: utilization of dredged material marshes in Galveston Bay, Texas, USA  

Science Journals Connector (OSTI)

Densities of nekton and other fauna were measured inthree created salt marshes to examine habitatdevelopment rate. All three marshes were located onPelican Spit in Galveston Bay, Texas, USA and werecreated on dre...

Thomas J. Minello

2000-10-01T23:59:59.000Z

404

Feeding habits of red drum (Sciaenops ocellatus) in Galveston Bay, Texas: Seasonal diet variation and predator-prey size relationships  

Science Journals Connector (OSTI)

Feeding habits, seasonal diet variation, and predator size-prey size relationships of red drum (Sciaenops ocellatus) were investigated in Galveston Bay, Texas through stomach contents analysis. A total of...Penae...

Frederick S. Scharf; Kurtis K. Schlicht

2000-02-01T23:59:59.000Z

405

Wind, sea ice, inertial oscillations and upper ocean mixing in Marguerite Bay, Western Antarctic Peninsula : observations and modeling  

E-Print Network (OSTI)

Two years of moored oceanographic and automatic weather station data which span the winter ice seasons of 2001-2003 within Marguerite Bay on the western Antarctic Peninsula (wAP) shelf were collected as part of the Southern ...

Hyatt, Jason

2006-01-01T23:59:59.000Z

406

Presence of Alexandrium catenella and paralytic shellfish toxins in finfish, shellfish and rock crabs in Monterey Bay, California, USA  

E-Print Network (OSTI)

St. , Santa Cruz, CA 95064, USA e-mail: rjester@edison.edu;Blvd. East, Seattle, WA 98112, USA Mar Biol (2009) 156:493in squid from Monterey Bay, CA (USA). Harmful Algae 7:4551.

Jester, Rozalind J.; Baugh, Keri A.; Lefebvre, Kathi A.

2009-01-01T23:59:59.000Z

407

Categorical Exclusion Determinations: A11 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

4, 2011 4, 2011 CX-005563: Categorical Exclusion Determination Michigan-Tribal Energy Program-Keweenaw Bay Indian Community CX(s) Applied: A9, A11, B3.1 Date: 04/04/2011 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy April 1, 2011 CX-005553: Categorical Exclusion Determination Connecticut-City-Danbury CX(s) Applied: A9, A11, B2.5, B5.1 Date: 04/01/2011 Location(s): Danbury, Connecticut Office(s): Energy Efficiency and Renewable Energy March 31, 2011 CX-005521: Categorical Exclusion Determination South Dakota-City-Sioux Falls CX(s) Applied: A9, A11, B1.32, B2.5, B5.1 Date: 03/31/2011 Location(s): Sioux Falls, South Dakota Office(s): Energy Efficiency and Renewable Energy March 28, 2011 CX-005479: Categorical Exclusion Determination Workforce Development Initiative Market Title

408

Categorical Exclusion Determinations: A9 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

December 4, 2012 December 4, 2012 CX-009554: Categorical Exclusion Determination In-situ X-ray Nanocharacterization of Defect Kinetics in Chalcogenide Solar Cell CX(s) Applied: A9, B3.6 Date: 12/04/2012 Location(s): Arizona Offices(s): Golden Field Office December 4, 2012 CX-009561: Categorical Exclusion Determination Using Solid Particles as Heat Transfer Fluid for Use in Concentrating Solar Power (CSP) Plants CX(s) Applied: A9 Date: 12/04/2012 Location(s): Colorado Offices(s): Golden Field Office December 4, 2012 CX-009558: Categorical Exclusion Determination PMVI Bay Area Photovoltaic Consortium CX(s) Applied: A9, B3.15, B3.6 Date: 12/04/2012 Location(s): California Offices(s): Golden Field Office November 28, 2012 CX-009547: Categorical Exclusion Determination Recovery Act: Advanced Seismic Data Analysis Program ('Hot Pot Project')

409

CX-006627: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6627: Categorical Exclusion Determination 6627: Categorical Exclusion Determination CX-006627: Categorical Exclusion Determination Elverta Maintenance Facility Remodel CX(s) Applied: B1.4, B1.15, B2.1, B2.3, B2.5 Date: 08/24/2011 Location(s): Sacramento County, California Office(s): Western Area Power Administration-Sierra Nevada Region The Elverta Maintenance Facility remodeling project will include an expanded parking garage and workshop facility and also include the following site improvements; (I) mezzanine for storage; (2) two separate workshop areas; (3) five pull-through parking bays; and (4) one toilet room. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-006627.pdf More Documents & Publications CX-005938: Categorical Exclusion Determination EIS-0323-S1: Draft Supplement Environmental Impact Statement

410

Categorical Exclusion Determinations: B5.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0, 2009 0, 2009 CX-000053: Categorical Exclusion Determination Native Village of Chignik Lagoon Energy Efficiency Retrofits CX(s) Applied: B5.1, B2.5, A1 Date: 11/10/2009 Location(s): Chignik Lagoon, Alaska Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000052: Categorical Exclusion Determination Mission's Traffic Signal and Street Lighting with Light-emitting diode Upgrade CX(s) Applied: B5.1 Date: 11/10/2009 Location(s): Mission, Texas Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000051: Categorical Exclusion Determination Little Traverse Bay Band of Odawa Indians Transportation Programs CX(s) Applied: B5.1 Date: 11/10/2009 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy November 10, 2009 CX-000050: Categorical Exclusion Determination

411

Categorical Exclusion Determinations: Office of Energy Efficiency and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

20, 2010 20, 2010 CX-004783: Categorical Exclusion Determination Indiana-City-Fishers, Town of CX(s) Applied: B5.1 Date: 12/20/2010 Location(s): Fishers, Indiana Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004782: Categorical Exclusion Determination Arizona-County-Yuma CX(s) Applied: A9, B5.1 Date: 12/20/2010 Location(s): Yuma County, Arizona Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004781: Categorical Exclusion Determination Alaska-Tribe-Village of Wainwright CX(s) Applied: A9, B5.1 Date: 12/20/2010 Location(s): Wainwright, Alaska Office(s): Energy Efficiency and Renewable Energy December 20, 2010 CX-004780: Categorical Exclusion Determination Alaska-Tribe-Ivanof Bay Tribal Council CX(s) Applied: A9, B2.5, B5.1 Date: 12/20/2010

412

CX-008378: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8378: Categorical Exclusion Determination 8378: Categorical Exclusion Determination CX-008378: Categorical Exclusion Determination Archer 230 Kilovolt Bay Addition for New Point of Delivery - Stage 07 CX(s) Applied: B4.6 Date: 03/08/2012 Location(s): CX: none Offices(s): Western Area Power Administration-Rocky Mountain Region Tri-State Generation and Transmission Association, Inc. (Tri-State), has requested an interconnection to Western Area Power Administration's (Western) Archer 230/115-Kilovolt (kV) Substation (Archer Substation). The Archer Substation is a Designated Point of Delivery from Western to Tri-State as set forth in Exhibit A of Contract No. 87-LAO-172 (TS-89-0005), Finn Electric Service (Contract). CX-008378.pdf More Documents & Publications CX-010891: Categorical Exclusion Determination

413

Categorical Exclusion Determinations: A9 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3, 2010 3, 2010 CX-001753: Categorical Exclusion Determination Arizona-Tribe-White Mountain Apache of the Fort Apache CX(s) Applied: A9, A11 Date: 04/13/2010 Location(s): Arizona Office(s): Energy Efficiency and Renewable Energy April 13, 2010 CX-001749: Categorical Exclusion Determination Alaska-Tribe-Igiugig Tribal Village Council CX(s) Applied: A9, B5.1 Date: 04/13/2010 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy April 13, 2010 CX-001747: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association CX(s) Applied: B2.5, A9, A11, B5.1 Date: 04/13/2010 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy April 13, 2010 CX-002105: Categorical Exclusion Determination Washington-Tribal Energy Program-Upper Skagit Indian Tribe

414

Categorical Exclusion Determinations: Native American and Alaskan Native  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

June 18, 2010 June 18, 2010 CX-002772: Categorical Exclusion Determination All Mission Indian Housing Authority CX(s) Applied: A9, B5.1 Date: 06/18/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy June 15, 2010 CX-002775: Categorical Exclusion Determination Bridgeport Indian Colony of California CX(s) Applied: B2.5, B5.1 Date: 06/15/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy June 11, 2010 CX-002706: Categorical Exclusion Determination California-Tribe-Tuolumne Band of Me-Wuk Indians CX(s) Applied: A9, B5.1 Date: 06/11/2010 Location(s): California Office(s): Energy Efficiency and Renewable Energy June 10, 2010 CX-002722: Categorical Exclusion Determination Washington-Tribe-Shoalwater Bay Indian Tribe CX(s) Applied: B2.5, B5.1

415

Categorical Exclusion Determinations: B3.2 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2 2 Categorical Exclusion Determinations: B3.2 Existing Regulations B3.2: Aviation activities Aviation activities for survey, monitoring, or security purposes that comply with Federal Aviation Administration regulations. DOCUMENTS AVAILABLE FOR DOWNLOAD June 21, 2013 CX-010654: Categorical Exclusion Determination Utilization of Savannah River Site Surface Waters for Wildland Fire Fighting on SRS CX(s) Applied: B3.2 Date: 06/21/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office June 13, 2013 CX-010419: Categorical Exclusion Determination Chevron Methane Leak Test CX(s) Applied: B3.1, B3.2, B3.11 Date: 06/13/2013 Location(s): Wyoming Offices(s): RMOTC April 4, 2013 CX-010350: Categorical Exclusion Determination Aerial Photography Activity Over the Proposed Richmond Bay Campus

416

Development of infaunal populations and below-ground organic matter from three created Spartina alterniflora marshes in Galveston Bay, Texas  

E-Print Network (OSTI)

DEVELOPMENT OF INFAUNAL POPULATIONS AND BELOW-GROUND ORGANIC MATTER FROM THREE CREATED SPAR2'ZNA ALTZRNZFLORA MARSHES IN GALVESTON BAY, TEXAS A Thesis ALISHA RENEE GOLDBERG Submitted to the Office of Graduate Studies of Texas A&M University... MARSHES IN GALVESTON BAY, TEXAS A Thesis by ALISHA RENEE GOLDBERG Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved as to style and content by: R. Dou as Slack (Chair...

Goldberg, Alisha Renee

2012-06-07T23:59:59.000Z

417

A simulation model of brown shrimp (Penaeus aztecus Ives) growth, movement, and survival in Galveston Bay, Texas  

E-Print Network (OSTI)

A SIMULATION MODEL OF BROWN SHRIMP (Penaeus aztecus Ives) GROWTH, MOVEMENT, AND SURVIVAL IN GALVESTON BAY, TEXAS A Thesis by LEROY CONRAD GEORGE Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE December 1981 Major Subject: Wildlife and Fisheries Sciences A SINOIAFION NODHD OF BROHH SHRINP IP* I* I ) GROWTH, MOVEMENT, AND SURVIVAL IN GALVESTON BAY, TEXAS A Thesis by LEROY CONRAD GEORGE...

George, Leroy Conrad

2012-06-07T23:59:59.000Z

418

Occurrence, movements, and behavior of bottlenose dolphins (Tursiops truncatus) in association with the shrimp fishery in Galveston Bay, Texas  

E-Print Network (OSTI)

was to examine bottienose dolphin associations with shrimp fishing in Galveston Bay. The shrimping industry is one of the most important fisheries in the United States. In 1991, the Texas shrimp industry's landings were among the lop five shrimp harvests...OCCURRENCE, MOVEMENTS, AND BEHAVIOR OF BOTTLENOSE DOLPHINS (TURSIOPS TRUNCATUS) IN ASSOCIATION WITH THE SHRIMP FISHERY IN GALVESTON BAY, TEXAS A Thesis by DAGMAR CATHERINE FERTL Submitted to the office of Graduate Studies of Texas A...

Fertl, Dagmar Catherine

1994-01-01T23:59:59.000Z

419

MHK Projects/Ocean Energy Galway Bay IE | Open Energy Information  

Open Energy Info (EERE)

Galway Bay IE Galway Bay IE < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.1879,"lon":-9.18125,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

420

FEMP ESPC Success Story - U.S. Naval Station, Guantanamo Bay, Cuba  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

a m a m ESPC Success Stories Environmental Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are about 185 feet high. The blade lengths are 90 feet. The top of the blades are about 275 feet off the g round. The blades rotate at a maximum of 22 RPM, or a rotation every three seconds. This translates to a blade tip speed of 140 mph. During construction there were as many as 20 workers on the project. However, operating the wind turbines will only take one part-time staff-person who will check on them daily. Photos courtesy of: Jeffrey M. Johnston, Public Works Officer, Guantanamo Bay; Paul DelSignore, NFESC; Daniel Ingold, NORESCO. U.S. NAVAL STATION

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

MHK Projects/OpenHydro Bay of Fundy Nova Scotia CA | Open Energy  

Open Energy Info (EERE)

Bay of Fundy Nova Scotia CA Bay of Fundy Nova Scotia CA < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.7728,"lon":-66.3096,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

422

MHK Projects/Coos Bay OPT Wave Park | Open Energy Information  

Open Energy Info (EERE)

Coos Bay OPT Wave Park Coos Bay OPT Wave Park < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3664,"lon":-124.218,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

423

Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Targeting Net Zero Energy at Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey Technical Report NREL/ TP-7A40-52897 November 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey Prepared under Task No. IDHW.9180

424

California South/West Bay Area Regional Middle School Science Bowl  

Office of Science (SC) Website

California South/West California South/West Bay Area Regional Middle School Science Bowl National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov California Regions California South/West Bay Area Regional Middle School Science Bowl Print Text Size: A A A RSS Feeds FeedbackShare Page Regional Coordinator Information Name: Ray Ng Email: RayNg97@gmail.com Regional Event Information Date: Saturday, March 8, 2014

425

MHK Projects/Kachemak Bay Tidal Energy Project | Open Energy Information  

Open Energy Info (EERE)

Kachemak Bay Tidal Energy Project Kachemak Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":60.3378,"lon":-151.875,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

426

MHK Projects/General Sullivan and Little Bay BRI | Open Energy Information  

Open Energy Info (EERE)

General Sullivan and Little Bay BRI General Sullivan and Little Bay BRI < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.1055,"lon":-70.7912,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

427

MHK Projects/San Francisco Bay Tidal Energy Project | Open Energy  

Open Energy Info (EERE)

Francisco Bay Tidal Energy Project Francisco Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.691,"lon":-122.311,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

428

Selby-on-the-Bay, Maryland: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Selby-on-the-Bay, Maryland: Energy Resources Selby-on-the-Bay, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.9162245°, -76.52246° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.9162245,"lon":-76.52246,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

429

Green Bay TEC Meeting -- Tribal Group Summary 10-26-06  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Green Bay, Wisconsin - September 14, 2006 Green Bay, Wisconsin - September 14, 2006 Session Chaired by: Jay Jones, DOE, Office of Civilian Radioactive Waste Management, OCRWM Regular Members in Attendance: Sandra Alexander (Confederated Tribes of the Umatilla Indian Reservation, CTUIR); Kenny Anderson, Las Vegas Paiute Tribe; Richard Arnold, Las Vegas Indian Center/Pahrump Paiute Tribe); Kevin Tafoya, Santa Clara Pueblo; Christina Nelson, National Conference of State Legislatures; Ed Gonzales, ELG Engineering/Pueblo de San Ildefonso; Judith Holm, OCRWM; Marsha Keister, Idaho National Laboratory; Joe Kennedy, Timbisha Shoshone Tribe; Daniel King, Oneida Nation of Wisconsin; Sue Loudner, Pueblo of Acoma; Bob Lupton, DOE Yucca Mountain Project; Corinne Macaluso, OCRWM; Kevin Mariano, Pueblo of Acoma; Calvin Meyers, Moapa

430

Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries  

Office of Legacy Management (LM)

Fishery Resources Theodore R. Merrell, Jr. Fishery Resources Theodore R. Merrell, Jr. Northwest Fisheries Center, Auke Bay Fisheries of the ~ a b o r a t o r y , National ~ a r i n e Fisheries Sewice, National Ocear~ic and Atmospl~eric Administration, Vestern Aleutians Auke Bay, Alaska Tlte fishery resources in the zuestent Aleutian Islnnds are diverse, nbtrnrlant, nrid heavily exploited, primarily by Japanese nnd Soviet fishermen. Seven groups make u p the bulk of the crcrrent catch: snlmo~t (sockeye, chum, and pink), king crabs, Pacific hnlibut, Pncific ocean perch, sablefish, wnlleye pollock, mid Pacific cod. Three species of whales (syenn, fin, and sei) are also caplared. Tlre marine enuironmerrt is highly prodirctiue and is relaliuely trn- nffecterl by ,,ton's activities otlter f h a i ~ fishing. Prospects for co,ttinaed or espanded fishery ltnruesls

431

MHK Projects/Willapa Bay Tidal Power Project | Open Energy Information  

Open Energy Info (EERE)

Willapa Bay Tidal Power Project Willapa Bay Tidal Power Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.7161,"lon":-124.038,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

432

EIA Report 8/10/06 - Alaska's Prudhoe Bay Crude Oil Pipeline Shutdown  

Gasoline and Diesel Fuel Update (EIA)

Alaska Prudhoe Bay Crude Oil Shut-in Alaska Prudhoe Bay Crude Oil Shut-in Facts and Impacts on the U.S. Oil Markets As of Thursday, August 10, 10:00 am Background on Alaska Crude Production and Transport Alaska ranks second, after Texas, among the States in crude oil reserves. On December 31, 2004, Alaska's proved reserves totaled 4,327 million barrels. Although Alaska's production declined from 2 million barrels per day (bbl/d) in 1988 to 864,000 bbl/d in 2005, it is still the second largest oil producing State when Federal offshore production is excluded. Alaskan Production Graph of US Crude Oil Production figure data The Trans-Alaska Pipeline Systems (TAPS) connects the North Slope oil fields with the Port of Valdez in southern Alaska. From Valdez, crude oil is shipped primarily to refineries located on the U.S. West Coast.

433

MHK Projects/Makah Bay Offshore Wave Pilot Project | Open Energy  

Open Energy Info (EERE)

Makah Bay Offshore Wave Pilot Project Makah Bay Offshore Wave Pilot Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.3238,"lon":-124.682,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

434

MHK Projects/Minas Basin Bay of Fundy Commercial Scale Demonstration | Open  

Open Energy Info (EERE)

Minas Basin Bay of Fundy Commercial Scale Demonstration Minas Basin Bay of Fundy Commercial Scale Demonstration < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.3658,"lon":-64.4294,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

435

CX-007989: Categorical Exclusion Determination | Department of...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

proposes to interconnect Grant's new 230-kilovolt transmission line into bay 7 within the BPA owned 230-kilovolt Columbia Substation. Microsoft Word - GrantPUD-CX.docx More...

436

Sport fishery management in East Matagorda Bay (Texas): an analysis of decision making  

E-Print Network (OSTI)

insight into an appropriate means of gathering and interpreting sociological and economic data and the importance of considering these aspects (in addition to ecological concerns) in decision making. Second, it provides a basic This thesis follows... Bay case. Agency decisions are often met with charges of bias, data manipulation and falsification of data (Heffernan and Kemp 1982). Furthermore, agencies are expected to provide expertise in sociology and economics in addition to ecology...

Ritter, Mary Christine

2012-06-07T23:59:59.000Z

437

Nodal modulation of the lunar semidiurnal tide in the Bay of Fundy and Gulf of Maine  

SciTech Connect

Observations, numerical modeling, and theoretical calculations show how the 18.6-year modulation of the main lunar semidiurnal tide in the Bay of Fundy and Gulf of Maine is reduced from its astronomical value of 3.7 percent to 2.4 percent by the effects of friction and resonance. The agreement of the three approaches increases confidence in model predictions of widespread changes in the tidal regime resulting from development of tidal power. 12 references, 2 figures, 1 table.

Ku, L.F.; Greenberg, D.A.; Garrett, C.J.R.; Dobson, F.W.

1985-10-04T23:59:59.000Z

438

Mechanisms of shoreline erosion in a back-bay environment, Cape Carancahua, Texas  

E-Print Network (OSTI)

history of the area is summarized Appendix A Irom Ward and Armstrong (1980). The recent decades have shown a slowly increasing resurgence in development with ports, factories, and agricultural and recreational lands in the region, as well as large... caused by hurricanes have also been documented by the Bureau of Economic Geology. Ward, Jr. , and Armstrong (1980) performed a study which compiled the hydrographic and the ecologic data about Matagorda Bay from a variety of sources. The interplay...

Ansari, Ramin

1995-01-01T23:59:59.000Z

439

The mass production and quality control of RPCs for the Daya Bay Experiment  

SciTech Connect

Resistive plate chambers will be used in the Daya Bay reactor neutrino experiment to help veto backgrounds created by cosmic-ray muons. The mass production of RPCs began in 2008 and by the end of 2009, 1600 RPCs (3500 m{sup 2}) had been produced and tested. This paper describes the production and quality control procedures, and quality assurance using cosmic-ray testing.

Hackenburg R.

2011-03-30T23:59:59.000Z

440

Development and application of econometric demand and supply models for selected Chesapeake Bay seafood products  

SciTech Connect

Five models were developed to forecast future Chesapeake seafood product prices, harvest quantities, and resulting income. Annual econometric models are documented for oysters, hard and soft blue crabs, and hard and soft clams. To the degree that data permit, these models represent demand and supply at the retail, wholesale, and harvest levels. The resulting models have broad applications in environmental policy issues and regulatory analyses for the Chesapeake Bay. 37 references, 10 figures, 99 tables.

Nieves, L.A.; Moe, R.J.

1984-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Characterizing hurricane storm surge behavior in Galveston Bay using the SWAN+ADCIRC model  

Science Journals Connector (OSTI)

Abstract The SWAN+ADCIRC shallow-water circulation model, validated for Hurricane Ike (2008), was used to develop five synthetic storm surge scenarios for the upper Texas coast in which wind speed was increased and landfall location was shifted 40km westward. The Hurricane Ike simulation and the synthetic storms were used to study the maximum water elevations in Galveston Bay, as well as the timing and behavior of surge relative to the hurricane track. Sixteen locations indicative of surge behavior in and around Galveston Bay were chosen to for analysis in this paper. Results show that water surface elevations present in Galveston Bay are dominated by the counterclockwise hurricane winds and that increasing wind speeds by 15% results in approximately 23% (+/?3%) higher surge. Furthermore, shifting the storm westward causes higher levels of surge in the more populated areas due to more intense, higher shore-normal winds. This research helps to highlight the vulnerability of the upper Texas Gulf Coast to hurricane storm surge and lends insight to storm surge and flood mitigation studies in the HoustonGalveston region.

Antonia Sebastian; Jennifer Proft; J. Casey Dietrich; Wei Du; Philip B. Bedient; Clint N. Dawson

2014-01-01T23:59:59.000Z

442

Sediment transport and Hg recovery in Lavaca Bay, as evaluated from radionuclide and Hg distributions  

SciTech Connect

Mercury was released in the late 1960s from a chloralkali facility managed by ALCOA and deposited into sediments of Lavaca Bay, TX. Sediments have recorded this event as a well-defined subsurface concentration maximum. Radionuclide, mercury, X-radiography, and grain size data from sediment cores taken in 1997 at 15 stations in Lavaca bay were used to assess sediment and Hg movements in the bay. Sediment accumulation rates were calculated from bomb fallout nuclide ({sup 137}Cs, {sup 239,240}Pu) peaks in 1963 and from the steady-state delivery of {sup 210}Pb from the atmosphere. Sedimentation rates are highest at near-shore sites near the ALCOA facility and generally decrease away from shore. Sedimentation rates in some areas are likely influenced by anthropogenic activities such as dredging. Particle reworking, as assessed from {sup 7}Be measurements, is generally restricted to the upper 2--7 cm of sediments. Numerical simulations of Hg profiles using measured sedimentation and mixing parameters indicate that at most sites high remnant mercury concentrations at 15--60 cm depth cannot supply substantial amounts of Hg to surface sediments. Assuming no future Hg supplies, Hg concentrations in surface sediments are predicted to decrease exponentially with a recovery half-time of 4 {+-} 2 years.

Santschi, P.H.; Allison, M.A.; Asbill, S.; Perlet, A.B. [Texas A and M Univ., Galveston, TX (United States)] [Texas A and M Univ., Galveston, TX (United States); Cappellino, S. [Parametrix, Inc., Houston, TX (United States)] [Parametrix, Inc., Houston, TX (United States); Dobbs, C.; McShea, L. [Aluminum Co. of America, Point Comfort, TX (United States)] [Aluminum Co. of America, Point Comfort, TX (United States)

1999-02-01T23:59:59.000Z

443

Biomarker sensitivity for polynuclear and halogenated aromatic hydrocarbon contamination in fish species from Galveston Bay  

SciTech Connect

The Galveston Bay estuary exhibits a contamination gradient for polynuclear aromatic hydrocarbons (PAHs) and halogenated aromatic hydrocarbons, which is useful for comparing biomarker response sensitivity in fish taken from different bay locations. Two fish species, hardhead catfish (Arius felis) and Atlantic croaker (Micropogon undulatus), were collected from four stations where sediment total PAHs ranged from 68 to > 1,000 ng/g. Hardhead catfish showed no consistent CYP1A mediated responses (hepatic ethoxyresorufin-O-deethylase activity (EROD), CYP1A mRNA levels, or CYP1A immunoreactive protein) in the field collected fish or in fish dosed with up to 15 mg/kg benzo(a)pyrene (BaP). Significant differences were seen in field collected hardhead catfish in biliary concentrations of naphthalene, phenanthrene, and BaP metabolites. Conversely, in croakers taken from the same four Galveston Bay locations, there were significant elevations IN EROD and glutathione-S-transferase activities, CYP1A immunoreactive protein, and biliary PAH metabolites at the contaminated stations. These studies suggest that croaker is a good monitoring species especially with respect to induction of CYP1A mediated responses by PAHs. Biliary PAH metabolites and PAH-DNA adducts were sensitive to PAH contamination in both species.

Willett, K.; McDonald, S.; Steinberg, M.; Beatty, K.; Safe, S. [Texas A and M Univ., College Station, TX (United States)

1995-12-31T23:59:59.000Z

444

Bay Ridge Gardens - Mixed-Humid Affordable Multifamily Housing Deep Energy Retrofit  

SciTech Connect

Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place DER at the Bay Ridge multifamily (MF) development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a 'base scope' retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a 'DER scope' which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. The base scope was applied to the entire apartment complex, except for one 12-unit building which underwent the DER scope. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.

Lyons, J.; Moore, M.; Thompson, M.

2013-08-01T23:59:59.000Z

445

Quantifying the current and future impacts of the MBTA Corporate Pass Program ; Quantifying the current and future impacts of the Massachusetts Bay Transportation Authority Corporate Pass Program .  

E-Print Network (OSTI)

??Many city and regional transportation authorities, including the Massachusetts Bay Transportation Authority (MBTA) in Boston, offer a monthly pass to local employers which they can (more)

Kamfonik, Dianne E

2013-01-01T23:59:59.000Z

446

Air pollutant monitoring for the East Bay Children's Respiratory Health Study  

SciTech Connect

This report describes the methodology and presents the summary results of the air pollutant monitoring program conducted by Lawrence Berkeley National Laboratory in support of the East Bay Children's Respiratory Health Study. The full study is examining the effects of chronic exposure to traffic-related pollutants on respiratory health among 3rd and 4th grade children attending ten neighborhood elementary schools in the San Francisco East Bay Area (Hayward, San Leandro and Oakland, CA). The demographically similar schools are located at varying distances from the I-880 and CA-92 freeways. Several schools were selected because they are located within 300 m in the predominant downwind direction (east) from either of the freeways. Measurements of multiple pollutants were made outdoors at the schools over 1-2 week intervals for 14 weeks in spring and eight weeks in fall 2001 using a custom-designed and validated package of commercially available monitoring equipment. Particulate matter was sampled over all hours (24 h per day) or during schools hours only with battery-operated programmable pumps and inlet devices for PM{sub 10} and PM{sub 2.5}. These pumps were modified to allow for up to 10 days of continuous operation. Fine particle mass and black carbon (BC) were determined from the collected filters. Nitrogen oxides (NO{sub x} and NO{sub 2}) were measured with passive samplers. Carbon monoxide (CO) was measured continuously with an electrochemical sensor. Gasoline-related volatile organic compounds (VOCs) were measured with passive samplers during three 4-week intervals in spring 2001 and two 4-week periods in early 2002. All samplers were deployed in a metal cabinet located outside at each school. Ranges of study average pollutant concentrations (all-hours) at the ten individual schools were: NO{sub x}, 33-68 ppb; NO{sub 2}, 19-31 ppb; PM{sub 10} mass, 27-32 {micro}g/m{sup 3}; PM{sub 2.5} mass, 12-15 {micro}g/m{sup 3}; and BC associated with PM{sub 2.5}, 0.6-1.0 {micro}g/m{sup 3}. Although statistical analysis of the data is yet to be performed, some general observations can be made. Absolute pollutant levels varied by season and week, but the simultaneous sampling design allowed for comparisons of concentrations among schools during each interval. Pollutant concentrations at each school were normalized to the sampling period averages among all schools. The normalized concentrations were generally consistent at each school throughout the entire study, suggesting that measured differences represent ongoing conditions and chronic exposures in the vicinities of the schools. Substantially elevated concentrations of NO{sub x}, NO{sub 2}, and BC, and somewhat elevated concentrations of PM{sub 2.5} were observed at one school located less than 100 meters to the east of I-880. Normalized concentrations of NO{sub x}, NO{sub 2}, and BC were also higher at the three other ''nearby and downwind'' schools relative to those located far from any freeway or other major traffic source. An ancillary monitoring program was implemented to examine the correlation between school-based pollutant measurements and measurements throughout the neighborhoods adjacent to three of the schools. Volunteer households were obtained from among the families of participating schoolchildren. Concentrations of NO{sub x} and NO{sub 2} were measured with passive samplers outside the homes of these volunteers during one of two 1-week periods in spring 2002. Simultaneous measurements were conducted at all ten of the schools and a central monitoring station during each week. The neighborhoods surrounding two schools were predominantly upwind of the I-880 freeway, while the neighborhood surrounding the other school was downwind from I-880. The overall distribution of concentrations observed for the residences near the downwind school appeared to be substantially higher than the regional background concentrations. The variability observed within the neighborhoods appeared to be, at least in part, explained by the proximity of individual residences to the freeway or

Singer, Brett C.; Hotchi, Toshifumi; Hodgson, Alfred T.

2002-11-01T23:59:59.000Z

447

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3, 2010 3, 2010 CX-001689: Categorical Exclusion Determination American Recovery and Reinvestment Act (ARRA) State Energy Program (SEP) Bay City and Van Vleck Independent School District (ISD) Wind Project CX(s) Applied: A9, A11 Date: 04/13/2010 Location(s): Matagorda County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 13, 2010 CX-001686: Categorical Exclusion Determination American Recovery and Reinvestment Act (ARRA) State Energy Program (SEP) - Austin Energy Solar Project CX(s) Applied: A9, A11 Date: 04/13/2010 Location(s): Austin, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 13, 2010 CX-001676: Categorical Exclusion Determination Hoosier Efficiency Loan Program (HELP) CX(s) Applied: A9, A11, B5.1

448

CX-007382: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

7382: Categorical Exclusion Determination 7382: Categorical Exclusion Determination CX-007382: Categorical Exclusion Determination Compressed Natural Gas Manufacturing CX(s) Applied: B5.1 Date: 10/26/2011 Location(s): Wisconsin Offices(s): Golden Field Office The Wisconsin Energy Office is proposing to pass through $100,000 of State Energy American Recovery and Reinvestment Act funds to US Venture to assist in the installation of three Compressed Natural Gas (CNG) filling stations. US Venture, Inc. would be leasing a portion of property from in an existing fueling station where they would install the three stations. The site is an operational gas and diesel station. The leased area is a former diesel fueling bay with an existing platform and canopy. The proposed site is on The southeast comer of County Highway B & 628th Avenue in Menomonie, WI.

449

CX-002371: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

71: Categorical Exclusion Determination 71: Categorical Exclusion Determination CX-002371: Categorical Exclusion Determination Activity 2: Landfill Forced Draft Heater CX(s) Applied: A9, B5.1 Date: 05/20/2010 Location(s): Howard County, Maryland Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Howard County, Maryland American Recovery and Reinvestment Act Energy Efficiency and Conservation Block Grant Activity 2 - Landfill Forced Draft Heater project involves the design, installation and operation of (a) forced draft heaters in the existing Alpha Ridge Landfill maintenance shop to heat the service bays, and (b) supply and return pipelines connecting the existing landfill maintenance shop with the proposed (to be funded by others) landfill gas-to-energy system. The entire construction and

450

Categorical Exclusion Determinations: Office of Energy Efficiency and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8, 2010 8, 2010 CX-002001: Categorical Exclusion Determination Cincinnati City American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant Act 3 (Mill Creek Restoration Project) CX(s) Applied: B3.1, A9, A11 Date: 04/28/2010 Location(s): Cincinnati, Ohio Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-002000: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant - Energy Efficiency Retrofits for Littauer Property Barn Complex CX(s) Applied: A9, A11, B5.1 Date: 04/28/2010 Location(s): Oyster Bay, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-001966: Categorical Exclusion Determination McKinney, Texas Technical Consultant and Other Projects

451

Categorical Exclusion Determinations: B5.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

14, 2010 14, 2010 CX-002003: Categorical Exclusion Determination Ohio State American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant Act 3 (Competitive Grants) Antioch College - Geothermal CX(s) Applied: B5.1 Date: 04/14/2010 Location(s): Antioch, Ohio Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 14, 2010 CX-001612: Categorical Exclusion Determination Long Island Regional Energy Collaborative CX(s) Applied: B5.1 Date: 04/14/2010 Location(s): Oyster Bay, New York Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory April 14, 2010 CX-001605: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date: 04/14/2010

452

CX-005138: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8: Categorical Exclusion Determination 8: Categorical Exclusion Determination CX-005138: Categorical Exclusion Determination Forest Grove Substation Expansion CX(s) Applied: B4.6 Date: 02/01/2011 Location(s): Washington County, Oregon Office(s): Bonneville Power Administration Bonneville Power Administration is proposing to expand Forest Grove Substation located in Washington County, Oregon. The purpose of this project is to improve load service and reliability within the Portland vicinity as per the North American Electric Reliability Corporation reliability standards. Within the existing Forest Grove Substation, the switchyard fence line would be expanded to the north to make room for a new bay. Additionally, structure 12/1 of the Keeler-Tillamook #1 transmission line would be relocated approximately 10-feet ahead online in order to

453

CX-002171: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

1: Categorical Exclusion Determination 1: Categorical Exclusion Determination CX-002171: Categorical Exclusion Determination Aleutians East Borough Energy Efficiency and Conservation Project CX(s) Applied: B2.5, B5.1 Date: 04/29/2010 Location(s): Aleutians East Borough, Alaska Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The objective of this project is to take advantage of technology in energy efficiency. The Aleutians East Borough Energy Efficiency and Conservation Project will consist of selecting a contractor to perform recommended energy improvements listed in the field inspection report written by a consultant. The anticipated work will include retrofitting appropriate insulation and vapor barriers inside the Cold Bay Terminal Building, which is located in

454

CX-005990: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5990: Categorical Exclusion Determination 5990: Categorical Exclusion Determination CX-005990: Categorical Exclusion Determination Biomass to Gasoline and Diesel Using Integrated Hydropyrolysis Plus Hydroconversion CX(s) Applied: A9, B3.6 Date: 05/26/2011 Location(s): Illinois Office(s): Energy Efficiency and Renewable Energy, Golden Field Office This review is a continuation of review GFO-270-10 to include new tasks to allow for additional project funds to be allocated for the design and operation of an integrated 50 kilogram/day. This project will test different types of feedstock. The construction of the facility is being funded by private outside source and will be located within an existing bay at the GFI Flex Fuel Test Facility/Advanced Gasification Test Fuel Facility. DOCUMENT(S) AVAILABLE FOR DOWNLOAD

455

Categorical Exclusion Determinations: B1.15 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

May 24, 2011 May 24, 2011 CX-007090: Categorical Exclusion Determination United States Navy Security System Upgrades CX(s) Applied: B1.15, B2.2 Date: 05/24/2011 Location(s): Albuquerque, NM; Kings Bay, GA; Bangor, WA, Georgia, New Mexico, Washington Office(s): NNSA-Headquarters, Sandia Site Office May 10, 2011 CX-007793: Categorical Exclusion Determination Jonesboro Maintenance Facility Additions CX(s) Applied: B1.15 Date: 05/10/2011 Location(s): Arkansas Offices(s): Southwestern Power Administration April 28, 2011 CX-005661: Categorical Exclusion Determination Clean Energy Development Fund - Renewable Energy Program - Candelora Hydro Project CX(s) Applied: B1.15, B5.1 Date: 04/28/2011 Location(s): Pownal, Vermont Office(s): Energy Efficiency and Renewable Energy, National Energy

456

Categorical Exclusion Determinations: New Mexico | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

May 24, 2011 May 24, 2011 CX-007090: Categorical Exclusion Determination United States Navy Security System Upgrades CX(s) Applied: B1.15, B2.2 Date: 05/24/2011 Location(s): Albuquerque, NM; Kings Bay, GA; Bangor, WA, Georgia, New Mexico, Washington Office(s): NNSA-Headquarters, Sandia Site Office May 17, 2011 CX-005885: Categorical Exclusion Determination Routine Monitoring, Maintenance, Geoprobe Well Installation, and Administrative Actions at the Ambrosia Lake, New Mexico, Disposal Site CX(s) Applied: B1.3, B3.1 Date: 05/17/2011 Location(s): Ambrosia Lake, New Mexico Office(s): Legacy Management May 17, 2011 CX-005881: Categorical Exclusion Determination Operation of the Chloride Extraction and Acid Recovery Line at TA-55-4 CX(s) Applied: B6.8 Date: 05/17/2011 Location(s): Los Alamos, New Mexico

457

CX-001662: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

62: Categorical Exclusion Determination 62: Categorical Exclusion Determination CX-001662: Categorical Exclusion Determination Bubbler Testing in the Cold Cap Evaluation Furnace (CEF) CX(s) Applied: B3.6 Date: 03/31/2010 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office The E&CPT (Environmental and Chemical Process Technology) Programs section will conduct vitrification studies in the Cold Cap Evaluation Furnace (CEF) located in the high bay of the Aiken County Technology Laboratory (ACTL). The feed material will be non-radioactive simulant of the Defense Waste Processing Facility (DWPF) process. Approximately 1200 gallons of SRAT (Sludge Receipt and Adjustment Tank) simulant are to be procured from a vendor. All the Resource Conservation and Recovery Act metals have been

458

CX-003649: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

49: Categorical Exclusion Determination 49: Categorical Exclusion Determination CX-003649: Categorical Exclusion Determination California - City - Richmond CX(s) Applied: A1, A9, A11, B2.5, B5.1 Date: 09/02/2010 Location(s): Richmond, California Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. 1) Develop the Green Energy Training Services (GETS) program which will provide classroom training to audit and retrofit residential homes, 2) technical consultant services to develop a strategy for installing solar photovoltaic systems on viable city facilities, 3) financial incentive program for residential solar installation rebates, 4) conduct audit and retrofit lighting systems in all city facilities in conjunction with the East Bay Energy Watch, and

459

CX-004651: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

651: Categorical Exclusion Determination 651: Categorical Exclusion Determination CX-004651: Categorical Exclusion Determination Flash Foods Job Creation and Petroleum Independence with 85% Ethanol Fuel CX(s) Applied: B5.1 Date: 12/09/2010 Location(s): King's Bay, Georgia Office(s): Energy Efficiency and Renewable Energy, Golden Field Office The Department of Energy proposes to provide federal funding to Protec Fuel Management to add 85% Ethanol fuel (E85) tanks, lines and dispensers to two filling stations in Georgia. This project adds 1 more location and replaces a previously chosen location. This project promotes energy conservation and energy efficiency by providing access to a renewable, alterative fuel source for vehicles operating in the vicinity of the proposed installations. The proposed project would not result in an increase in

460

CX-006014: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

14: Categorical Exclusion Determination 14: Categorical Exclusion Determination CX-006014: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant Program - Georgia-City-Savannah CX(s) Applied: A1, A9, B1.32, B2.5, B5.1 Date: 05/24/2011 Location(s): Savannah, Georgia Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. 1) Move data center to the Civic Center which is located in a historic district; 2) energy efficiency (EE) heating, ventilation and air conditioning (HVAC) upgrades to Visitor?s Center (State Historic Preservation Office approved); and 3(A) Broughton Municipal Building (132 East Broughton Street) Light Emitting Diode (LED) lighting, variable air volume air handling fans, fluorescent lighting, and 3M reflective window film; 3(B) City Hall (2 East Bay Street)

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
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461

CX-005684: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

684: Categorical Exclusion Determination 684: Categorical Exclusion Determination CX-005684: Categorical Exclusion Determination Construction and Operation of a Cask Processing Enclosure (CPE) at the Transuranic (TRU) Waste Processing Center (TWPC) on the Oak Ridge Reservation, Lenoir City, Tennessee CX(s) Applied: B1.13, B3.1, B6.6 Date: 04/19/2011 Location(s): Lenoir City, Tennessee Office(s): Oak Ridge Office The United States Department of Energy Oak Ridge Office proposed activity is to expand the current 3-ton Crane Bay to include the construction and operation of a Cask Processing Enclosure (CPE). Specific construction activities include, but are not limited to, geotechnical and environmental sampling, the relocation of a portion of the Waste Isolation Pilot Plant Road, creation of a lay down and parking area to support construction

462

CX-005170: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

70: Categorical Exclusion Determination 70: Categorical Exclusion Determination CX-005170: Categorical Exclusion Determination Large Scale Solar - Roof Mounted - Ebay CX(s) Applied: B5.1 Date: 02/08/2011 Location(s): South Jordan, Utah Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Through the Utah State Energy Program's Competitive Grants for Renewable Energy market title eBay will receive $973,969 of Department of Energy funding to purchase and install a 797.335 kilowatt (kW) solar (PV) photovoltaic system, comprised of 3393 KYOCERA 235 watt high efficiency PV panels or equivalents, one SMA 500 kW inverter and one SMA 250 kW inverter mounted on the roof of their Topaz Data Center in South Jordan, Utah. Approximate annual production estimate is 1,118,418 kilowatt hours per

463

CX-007362: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

362: Categorical Exclusion Determination 362: Categorical Exclusion Determination CX-007362: Categorical Exclusion Determination Longview Sectionalizing Breaker Upgrades CX(s) Applied: B1.11, B4.6 Date: 11/28/2011 Location(s): Washington Offices(s): Bonneville Power Administration Bonneville Power Administration (BPA) is proposing to expand a 260-foot long section of its Longview Substation fence by 28 feet in order to accommodate the addition of a new sectionalizing breaker near bay 5, and to update an aging portion of the southeast fence line. Construction would include removal of top soil to install subsurface substation equipment, fill of imported soil to match existing substation grade, and construction and operation of a new sectionalizing breaker inside the new fence line. An approximate 280-foot by 40-foot construction area outside of and

464

CX-006820: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0: Categorical Exclusion Determination 0: Categorical Exclusion Determination CX-006820: Categorical Exclusion Determination Prosser Hatchery Storage Shed CX(s) Applied: B1.15 Date: 09/16/2011 Location(s): Prosser, Benton County, Washington Office(s): Bonneville Power Administration, Natural Gas Regulation Bonneville Power Administration (BPA) proposes to fund the construction of a storage shed at the Prosser Hatchery. The proposed size of the building would be 40 feet x 48 feet x 14 feet. The building would have a concrete floor and overhead doors, and would be divided into three bays. The building would be used for storage, for routine maintenance activities, and as a locker room for hatchery staff. The area where the shed would be located is within the footprint of the existing hatchery and the ground is

465

Categorical Exclusion Determinations: Office of Energy Efficiency and  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

3, 2010 3, 2010 CX-001692: Categorical Exclusion Determination MacDonald Miller Financing Packages for Utility Based Energy Efficient Projects CX(s) Applied: B5.1 Date: 04/13/2010 Location(s): Washington Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 13, 2010 CX-001689: Categorical Exclusion Determination American Recovery and Reinvestment Act (ARRA) State Energy Program (SEP) Bay City and Van Vleck Independent School District (ISD) Wind Project CX(s) Applied: A9, A11 Date: 04/13/2010 Location(s): Matagorda County, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 13, 2010 CX-001686: Categorical Exclusion Determination American Recovery and Reinvestment Act (ARRA) State Energy Program (SEP) - Austin Energy Solar Project

466

Categorical Exclusion Determinations: A9 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

8, 2010 8, 2010 CX-002000: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant - Energy Efficiency Retrofits for Littauer Property Barn Complex CX(s) Applied: A9, A11, B5.1 Date: 04/28/2010 Location(s): Oyster Bay, New York Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-002001: Categorical Exclusion Determination Cincinnati City American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant Act 3 (Mill Creek Restoration Project) CX(s) Applied: B3.1, A9, A11 Date: 04/28/2010 Location(s): Cincinnati, Ohio Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 28, 2010 CX-001966: Categorical Exclusion Determination McKinney, Texas Technical Consultant and Other Projects

467

Categorical Exclusion Determinations: B2.5 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

16, 2010 16, 2010 CX-002192: Categorical Exclusion Determination Site Wide Well Abandonment Activities CX(s) Applied: B2.5, B3.1 Date: 04/16/2010 Location(s): Idaho Office(s): Idaho Operations Office, Nuclear Energy April 15, 2010 CX-001553: Categorical Exclusion Determination Charlotte Activities 1, 4, 5, 6, 7, 10, 11, 17, and 19 American Recovery and Reinvestment Act (ARRA)-Energy Efficiency and Conservation Block Grant (EECBG) Strategy-Only CX(s) Applied: B2.5, A9, A11, B5.1 Date: 04/15/2010 Location(s): Charlotte, North Carolina Office(s): Energy Efficiency and Renewable Energy, Golden Field Office April 13, 2010 CX-001747: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association CX(s) Applied: B2.5, A9, A11, B5.1 Date: 04/13/2010 Location(s): Alaska

468

CX-000050: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0050: Categorical Exclusion Determination 0050: Categorical Exclusion Determination CX-000050: Categorical Exclusion Determination Little Traverse Bay Band of Odawa Indians On Site Renewable Technologies (Wind) CX(s) Applied: B5.1, B3.6 Date: 11/10/2009 Location(s): Michigan Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The proposed action would involve hiring a consultant to conduct a wind feasibility study to insure the selected locations will be effective at producing wind energy; installing two wind turbines to be attached to tribal buildings; one at Bell's Fishery site in Mackinaw City and one at the Health Park in Petosky; and conducting and evaluation on the effects of the turbines. The power generated from the turbine will operate the aerators at Bell's Fishery and

469

CX-006875: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

6875: Categorical Exclusion Determination 6875: Categorical Exclusion Determination CX-006875: Categorical Exclusion Determination Center for Integrated Nanotechnologies Integration Laboratories: PH3 Operations CX(s) Applied: B3.6 Date: 08/16/2011 Location(s): Albuquerque, New Mexico Office(s): NNSA-Headquarters Sandia National Laboratories/New Mexico (SNL/NM) proposes to operate an Atomic-Precision Fabrication Tool in the Center for Integrated Nanotechnologies (CINT). Installation and hydrogen-gas operation of the Atomic-Precision Fabrication Tool, to be located in the CINT Integration Lab Class 1,000 Cleanroom, Room 1512 (Flex Bay Lab), was analyzed previously. The current proposal involves use of the tool for a process using phosphine gas. Phosphine would be delivered via a Safe Delivery Source (SDS) subatmospheric lecture-sized bottle/cylinder (commonly used at

470

Categorical Exclusion Determinations: New York | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

April 15, 2010 April 15, 2010 CX-001584: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment Date: 04/15/2010 Location(s): Horseheads, New York Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory April 14, 2010 CX-001612: Categorical Exclusion Determination Long Island Regional Energy Collaborative CX(s) Applied: B5.1 Date: 04/14/2010 Location(s): Oyster Bay, New York Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory April 14, 2010 CX-001605: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date: 04/14/2010 Location(s): New York Office(s): Energy Efficiency and Renewable Energy, National Energy

471

CX-007161: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

61: Categorical Exclusion Determination 61: Categorical Exclusion Determination CX-007161: Categorical Exclusion Determination Pinnacle Peak Substation Conductor & Circuit Breaker Replacement CX(s) Applied: B4.6 Date: 12/03/2010 Location(s): Maricopa County, Arizona Office(s): Western Area Power Administration-Desert Southwest Region Western proposes on replacing 230-kilovolt (kV) conductor in four bays and one 230-kV power circuit breaker voltage transformer within the fenced area of the Pinnacle Peak Substation, This will also consist of rerouting existing conduit in a 20 foot trench going 24 inches in depth. We will use existing access roads and vehicles such as pickup trucks, crew trucks, backhoes and bucket trucks to bring personnel and equipment to the work area. This work is necessary to maintain the safety and reliability of the

472

Categorical Exclusion Determinations: B3.1 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

May 10, 2010 May 10, 2010 CX-002284: Categorical Exclusion Determination Environmental Effects of Sediment Transport Alteration and Impacts on Protected Species: Edgartown Tidal Energy Project CX(s) Applied: B3.1, B3.3, B3.6, A9 Date: 05/10/2010 Location(s): Muskegot Bay Area, Massachusetts Office(s): Energy Efficiency and Renewable Energy, Golden Field Office May 5, 2010 CX-002132: Categorical Exclusion Determination Seismic Technology Adapted to Analyzing and Developing Geothermal Systems Below Surface-Exposed High-Velocity Rocks CX(s) Applied: B3.1, A9 Date: 05/05/2010 Location(s): Austin, Texas Office(s): Energy Efficiency and Renewable Energy, Golden Field Office May 5, 2010 CX-002125: Categorical Exclusion Determination Recovery Act: Geothermal Technologies Program CX(s) Applied: B3.1, A9

473

CX-003095: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

5: Categorical Exclusion Determination 5: Categorical Exclusion Determination CX-003095: Categorical Exclusion Determination Louisiana-Tribe-Coushatta of Louisiana CX(s) Applied: B5.1 Date: 07/19/2010 Location(s): Coushatta, Louisiana Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant Program. The Coushatta of Louisiana proposes to install an approximate 4.3 kilowatt solar system consisting of a solar panel grid-tied system using 200-watt Sanyo panels, Xantrex Inverters, and Unirac mounting on the tribe's 8-bay hydroponic greenhouse which is on reservation land adjacent to the tribal Heritage Department. The front structure houses three large water tanks and the electrical computer systems that control delivery of nutrients to plants and climate controls and will provide sufficient renewable energy to meet

474

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2, 2010 2, 2010 CX-005035: Categorical Exclusion Determination Wisconsin BRAIN Program - Kwik Trip CX(s) Applied: B5.1 Date: 01/12/2010 Location(s): Green Bay, Wisconsin Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory January 12, 2010 CX-006426: Categorical Exclusion Determination Ohio-City-Elyria CX(s) Applied: A1, A9, A11, B1.32, B5.1 Date: 01/12/2010 Location(s): Elyria, Ohio Office(s): Energy Efficiency and Renewable Energy January 12, 2010 CX-000486: Categorical Exclusion Determination Project Number WH-09-119 - Replace Fiberglass Covers/Troughs on Traveling Screens at West Hackberry Raw Water Intake Structure CX(s) Applied: B1.3 Date: 01/12/2010 Location(s): West Hackberry, Louisiana Office(s): Fossil Energy, Strategic Petroleum Reserve Field Office

475

CX-001747: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

47: Categorical Exclusion Determination 47: Categorical Exclusion Determination CX-001747: Categorical Exclusion Determination Alaska-Tribe-Bristol Bay Native Association CX(s) Applied: B2.5, A9, A11, B5.1 Date: 04/13/2010 Location(s): Alaska Office(s): Energy Efficiency and Renewable Energy Energy Efficiency and Conservation Block Grant to: 1) Develop an energy efficiency and conservation Education and Outreach Program including holding an energy summit and workshops and developing an energy website, 2) acquire technical services to conduct energy audits of 28-30 native-owned buildings, and 3) acquire technical services to perform energy efficiency retrofits to the audited buildings based on the results of the audits (approval excludes building retrofits) and distribute compact fluorescent light bulbs and other energy efficiency technology to tribal homes (up to

476

CX-006034: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

34: Categorical Exclusion Determination 34: Categorical Exclusion Determination CX-006034: Categorical Exclusion Determination NORDIC Wind Manufacturing Project CX(s) Applied: B1.31 Date: 06/10/2011 Location(s): Kansas City, Missouri Office(s): Advanced Technology Vehicles Manufacturing Loan Program The Department of Energy's (DOE's) proposed action is to issue a loan guarantee to Nordic Windpower USA Inc., for the assembly and testing of two-bladed, patented teeter hub technology wind turbines. The initial production will be of 1 megawatt (MW) N1000 Nordic wind turbine nacelles. The assembly and testing operations would take place in an existing facility, Super Hangar Bay 12, within the Kansas City International Airport in Kansas City, Missouri. The Super Hangar facility is located adjacent to

477

CX-005323: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

23: Categorical Exclusion Determination 23: Categorical Exclusion Determination CX-005323: Categorical Exclusion Determination Subtask 2.2 Marine Corps Base Hawaii Site: National Marine Renewable Energy Center in Hawaii CX(s) Applied: A9, B3.1 Date: 02/24/2011 Location(s): Oahu, Hawaii Office(s): Energy Efficiency and Renewable Energy, Golden Field Office Under task 2.2, the University of Hawaii and the Hawaii National Marine Renewable Energy Center (HINMREC) are proposing to use federal funding to provide technical advice to Kaneohe Marine Corps Base Hawaii (MCBH) and Ocean Power Technology (OPT) in assistance of their preliminary planning activities related to their proposed project to deploy and test a single 40 kilowatt electrical (kWe) buoy in the Marine base off-shore waters in off the island of Oahu in Kaneohe Bay. HINMREC's technical assistance would

478

Categorical Exclusion Determinations: B3.6 | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

0, 2010 0, 2010 CX-002284: Categorical Exclusion Determination Environmental Effects of Sediment Transport Alteration and Impacts on Protected Species: Edgartown Tidal Energy Project CX(s) Applied: B3.1, B3.3, B3.6, A9 Date: 05/10/2010 Location(s): Muskegot Bay Area, Massachusetts Office(s): Energy Efficiency and Renewable Energy, Golden Field Office May 10, 2010 CX-002358: Categorical Exclusion Determination Fischer-Tropsch Fuels Development CX(s) Applied: B3.6 Date: 05/10/2010 Location(s): Grand Forks, North Dakota Office(s): Fossil Energy, National Energy Technology Laboratory May 10, 2010 CX-002353: Categorical Exclusion Determination Research and Development of a Silicon Carbide Fault Current Limiter (SSFCL) CX(s) Applied: B3.6 Date: 05/10/2010 Location(s): Fayetteville, Arkansas

479

CX-002422: Categorical Exclusion Determination | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

2: Categorical Exclusion Determination 2: Categorical Exclusion Determination CX-002422: Categorical Exclusion Determination Technical Consultant and Audit Services CX(s) Applied: A9, A11, B5.1 Date: 05/17/2010 Location(s): Attleboro, Massachusetts Office(s): Energy Efficiency and Renewable Energy Attleboro will use Energy Efficiency and Conservation Block Grant (EECBG) funds to procure technical services as necessary to support the development of projects and analysis of results from retrofit activities. Consultant services may include energy analyses of buildings and the development of specifications for projects identified. We will also use the EECBG funds to leverage technical services from other sources. Specifically, we will work closely with National Grid, our electricity distribution company and Bay

480

Obama Administration Announces Additional $13,969,700 for Local...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

AK Pauloff Harbor Village 35,400 AK Pedro Bay Native Village 35,300 AK Petersburg Indian Association 50,700 AK Pilot Station Traditional Village 54,500 AK Platinum...

Note: This page contains sample records for the topic "determination pedro bay" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Health Impacts of Moving Freight In and Out of the Ports of Long Beach and Los Angeles  

E-Print Network (OSTI)

and Health Impacts of Port-Related Freight Movement in aMoving Freight In and Out of the Ports of Long Beach and LosISSUE The San Pedro Bay Port (SPBP) of Los Angeles and Long

2010-01-01T23:59:59.000Z

482

Health Impacts of Moving Freight In and Our of the Ports of Long Beach and Los Angeles  

E-Print Network (OSTI)

and Health Impacts of Port-Related Freight Movement in aMoving Freight In and Out of the Ports of Long Beach and LosISSUE The San Pedro Bay Port (SPBP) of Los Angeles and Long

2010-01-01T23:59:59.000Z

483

Categorical Exclusion Determinations: Maine | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

September 9, 2010 September 9, 2010 CX-003770: Categorical Exclusion Determination Maine-County-York CX(s) Applied: A1, A9, A11, B2.5, B5.1 Date: 09/09/2010 Location(s): York County, Maine Office(s): Energy Efficiency and Renewable Energy September 9, 2010 CX-003713: Categorical Exclusion Determination Validation of Coupled Models and Optimization of Materials for Offshore Wind Structures CX(s) Applied: A9, B3.1, B3.3, B3.6 Date: 09/09/2010 Location(s): Maine Office(s): Energy Efficiency and Renewable Energy, Golden Field Office August 23, 2010 CX-003544: Categorical Exclusion Determination Environmental Impact Protocols for Tidal Power CX(s) Applied: A9, B3.1, B3.3, B3.6 Date: 08/23/2010 Location(s): Cobscook Bay, Maine Office(s): Energy Efficiency and Renewable Energy, Golden Field Office

484

Feasibility Study of Carbon Sequestration Through Reforestation in the Chesapeake Bay Watershed of Virginia  

SciTech Connect

The Chesapeake Rivers conservation area encompasses approximately 2,000 square miles of agricultural and forest lands in four Virginia watersheds that drain to the Chesapeake Bay. Consulting a time series of classified Landsat imagery for the Chesapeake Rivers conservation area, the project team developed a GIS-based protocol for identifying agricultural lands that could be reforested, specifically agricultural lands that had been without forest since 1990. Subsequent filters were applied to the initial candidate reforestation sites, including individual sites > 100 acres and sites falling within TNC priority conservation areas. The same data were also used to produce an analysis of baseline changes in forest cover within the study period. The Nature Conservancy and the Virginia Department of Forestry identified three reforestation/management models: (1) hardwood planting to establish old-growth forest, (2) loblolly pine planting to establish working forest buffer with hardwood planting to establish an old-growth core, and (3) loblolly pine planting to establish a working forest. To assess the relative carbon sequestration potential of these different strategies, an accounting of carbon and total project costs was completed for each model. Reforestation/management models produced from 151 to 171 tons carbon dioxide equivalent per acre over 100 years, with present value costs of from $2.61 to $13.28 per ton carbon dioxide equivalent. The outcome of the financial analysis was especially sensitive to the land acquisition/conservation easement cost, which represented the most significant, and also most highly variable, single cost involved. The reforestation/management models explored all require a substantial upfront investment prior to the generation of carbon benefits. Specifically, high land values represent a significant barrier to reforestation projects in the study area, and it is precisely these economic constraints that demonstrate the economic additionality of any carbon benefits produced via reforestation--these are outcomes over and above what is currently possible given existing market opportunities. This is reflected and further substantiated in the results of the forest cover change analysis, which demonstrated a decline in area of land in forest use in the study area for the 1987/88-2001 period. The project team collected data necessary to identify sites for reforestation in the study area, environmental data for the determining site suitability for a range of reforestation alternatives and has identified and addressed potential leakage and additionality issues associated with implementing a carbon sequestration project in the Chesapeake Rivers Conservation Area. Furthermore, carbon emissions reductions generated would have strong potential for recognition in existing reporting systems such as the U.S. Department of Energy 1605(b) voluntary reporting requirements and the Chicago Climate Exchange. The study identified 384,398 acres on which reforestation activities could potentially be sited. Of these candidate sites, sites totaling 26,105 acres are an appropriate size for management (> 100 acres) and located in priority conservation areas identified by The Nature Conservancy. Total carbon sequestration potential of reforestation in the study area, realized over a 100 year timeframe, ranges from 58 to 66 million tons of carbon dioxide equivalent, and on the priority sites alone, potential for carbon sequestration approaches or exceeds 4 million tons of carbon dioxide equivalent. In the absence of concerted reforestation efforts, coupled with policy strategies, the region will likely face continued declines in forest land.

Andy Lacatell; David Shoch; Bill Stanley; Zoe Kant

2007-03-01T23:59:59.000Z

485

Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study  

SciTech Connect

The Bristol Bay Native Corporation (BBNC) grant project focused on conducting nine wind resource studies in eight communities in the Bristol Bay region of southwest Alaska and was administered as a collaborative effort between BBNC, the Alaska Energy Authority, Alaska Village Electric Cooperative, Nushagak Electric Cooperative (NEC), Naknek Electric Association (NEA), and several individual village utilities in the region. BBNCs technical contact and the project manager for this study was Douglas Vaught, P.E., of V3 Energy, LLC, in Eagle River, Alaska. The Bristol Bay region of Alaska is comprised of 29 communities ranging in size from the hub community of Dillingham with a population of approximately 3,000 people, to a few Native Alaska villages that have a few tens of residents. Communities chosen for inclusion in this project were Dillingham, Naknek, Togiak, New Stuyahok, Kokhanok, Perryville, Clarks Point, and Koliganek. Selection criteria for conduction of wind resource assessments in these communities included population and commercial activity, utility interest, predicted Class 3 or better wind resource, absence of other sources of renewable energy, and geographical coverage of the region. Beginning with the first meteorological tower installation in October 2003, wind resource studies were completed at all sites with at least one year, and as much as two and a half years, of data. In general, the study results are very promising for wind power development in the region with Class 6 winds measured in Kokhanok; Class 4 winds in New Stuyahok, Clarks Point, and Koliganek; Class 3 winds in Dillingham, Naknek, and Togiak; and Class 2 winds in Perryville. Measured annual average wind speeds and wind power densities at the 30 meter level varied from a high of 7.87 meters per second and 702 watts per square meter in Kokhanok (Class 6 winds), to a low of 4.60 meters per second and 185 watts per square meter in Perryville (Class 2 winds).

Vaught, Douglas J.

2007-03-31T23:59:59.000Z

486

Atmospheric distribution of polycyclic aromatic hydrocarbons and deposition to Galveston Bay, Texas, USA  

Science Journals Connector (OSTI)

Estimates of the atmospheric deposition to Galveston Bay of polycyclic aromatic hydrocarbons (PAHs) are made using precipitation and meteorological data that were collected continuously from 2 February 1995 to 6 August 1996 at Seabrook, TX, USA. Particulate and vapor phase \\{PAHs\\} in ambient air and particulate and dissolved phases in rain samples were collected and analyzed. More than 95% of atmospheric \\{PAHs\\} were in the vapor phase and about 73% of \\{PAHs\\} in the rain were in the dissolved phase. Phenanthrene and napthalene were the dominant compounds in air vapor and rain dissolved phases, respectively, while 5 and 6 ring PAH were predominant in the particulate phase of both air and rain samples. Total PAH concentrations ranged from 4 to 161ngm?3 in air samples and from 50 to 312ngl?1 in rain samples. Temporal variability in total PAH air concentrations were observed, with lower concentrations in the spring and fall (434ngm?3) compared to the summer and winter (37161ngm?3). \\{PAHs\\} in the air near Galveston Bay are derived from both combustion and petroleum vaporization. Gas exchange from the atmosphere to the surface water is estimated to be the major deposition process for \\{PAHs\\} (1211?gm? 2yr? 1), relative to wet deposition (130?gm?2yr? 1) and dry deposition (99?gm?2yr? 1). Annual deposition of \\{PAHs\\} directly to Galveston Bay from the atmosphere is estimated as 2 tyr?1.

June-Soo Park; Terry L. Wade; Stephen Sweet

2001-01-01T23:59:59.000Z

487

Development of a neural network model to nowcast/forecast the coastal water level anomalies on the entrance to Galveston Bay, Texas  

E-Print Network (OSTI)

observations for a total of 375 days during the winter season from 1998 to 2000 were used to quantify the relative importance of the remote and local forcing in Galveston Bay and Corpus Christi Bay, Texas. For both locations, the analysis showed that the water...

Nam, Young Joo

2012-06-07T23:59:59.000Z

488

Bio-Optical Variability in Mayaguez Bay during the Rainy Season Joel A. Quiones Rivera, ja23_degrees@hotmail.com  

E-Print Network (OSTI)

Bio-Optical Variability in Mayaguez Bay during the Rainy Season Joel A. Quiñones Rivera, ja23 by suspending particles in the water that affects light penetration. This is critical for the bio-optical from different stations collected with an bio-optical rosette along the Mayagüez Bay and considering

Gilbes, Fernando

489

Ann bay lodyans 8 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a  

E-Print Network (OSTI)

frswtav n a c o moun ki pi gran. $2.00 Rawoul Jilyen 0-8400-5116-6 y "rouowup 110? 5Q200 FREEMAN, BRYANT ANN BAY LODYANS VOL.8 >UT MOUN KONN LI. IT MOUN KONN EKRI. LANG 06/14/00 ... ki konn manje diri m Ian. M pran ou jodi a. M te di nenpot bet m kenbe nan jaden an, m ap koupe tet li. Se ou m pran. M pral regie zafe ou." Toti kdmanse kriye: "Met, fe pa m, non!" Gwoje fache sou li: "Sa k rele konsa? Vale redi mwen 2 redi...

Freeman, Bryant C., ed.

2000-01-01T23:59:59.000Z

490

Ann bay lodyans 10 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a  

E-Print Network (OSTI)

pou mete tet nou ansanm pou nou fouye, fouye, plante. Avek sa, n a jwenn sa yo rele Id peyi Dayiti." Achedou Banel, Senmak 9 BOUJWA AK ABITAN Te gen yon boujwa Potoprens ki te soti nan bel machin li pou ale Ench. Le I rive andeyo, li pedi wout...KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 10 se Bryant Freeman (Tonton Liben) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries Office of Scholarly...

Freeman, Bryant C., ed.

2000-01-01T23:59:59.000Z

491

Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: First Results Report  

SciTech Connect

This report documents the early implementation experience for the Zero Emission Bay Area (ZEBA) Demonstration, the largest fleet of fuel cell buses in the United States. The ZEBA Demonstration group includes five participating transit agencies: AC Transit (lead transit agency), Santa Clara Valley Transportation Authority (VTA), Golden Gate Transit (GGT), San Mateo County Transit District (SamTrans), and San Francisco Municipal Railway (Muni). The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service.

Chandler, K.; Eudy, L.

2011-08-01T23:59:59.000Z

492

Preparation for the Recovery of Spent Nuclear Fuel (SNF) at Andreeva Bay, North West Russia - 13309  

SciTech Connect

Andreeva Bay is located near Murmansk in the Russian Federation close to the Norwegian border. The ex-naval site was used to de-fuel nuclear-powered submarines and icebreakers during the Cold War. Approximately 22,000 fuel assemblies remain in three Dry Storage Units (DSUs) which means that Andreeva Bay has one of the largest stockpiles of highly enriched spent nuclear fuel (SNF) in the world. The high contamination and deteriorating condition of the SNF canisters has made improvements to the management of the SNF a high priority for the international community for safety, security and environmental reasons. International Donors have, since 2002, provided support to projects at Andreeva concerned with improving the management of the SNF. This long-term programme of work has been coordinated between the International Donors and responsible bodies within the Russian Federation. Options for the safe and secure management of SNF at Andreeva Bay were considered in 2004 and developed by a number of Russian Institutes with international participation. This consisted of site investigations, surveys and studies to understand the technical challenges. A principal agreement was reached that the SNF would be removed from the site altogether and transported to Russia's reprocessing facility at Mayak in the Urals. The analytical studies provided the information necessary to develop the construction plan for the site. Following design and regulatory processes, stakeholders endorsed the technical solution in April 2007. This detailed the processes, facilities and equipment required to safely remove the SNF and identified other site services and support facilities required on the site. Implementation of this strategy is now well underway with the facilities in various states of construction. Physical works have been performed to address the most urgent tasks including weather protection over one of the DSUs, installation of shielding over the cells, provision of radiation protection infrastructure and general preparation of the site for construction of the facilities for the removal of the SNF. This paper describes the development and implementation of the strategy and work to improve the safe and secure management of SNF, preparing it for retrieval and removal from Andreeva Bay. (authors)

Field, D.; McAtamney, N. [Nuvia Limited (United Kingdom)] [Nuvia Limited (United Kingdom)

2013-07-01T23:59:59.000Z

493

Ann bay lodyans 15 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a  

E-Print Network (OSTI)

neg nan yon restoran: Fi a: Ala bel ou bel, monche! Se soley! Neg la: Se donmaj mwen pa k H i o n v n n h*i fi tou. SMMSJJMJg $2.00 0-8400-5122-0 Fi a: Fe tankou mwen, moi |||||| 9 TOOsUM 1226'! 'I FREEMAN, BRYANT 16 ANN BAY LODYANS VOL.15... pitit, e tout se te tifi. Epi vin yon tifi anko, yo rele I Asefi. Papa yo mouri, e manman an setoblije voye Asefi al rete kay yon madanm lavil, ki rele madan Souza. Madan Souza te renmen Asefi anpil. Asefi, bo kote pa I, te kontan net. Nonselman li...

Freeman, Bryant C., ed.

2000-01-01T23:59:59.000Z

494

Characterization of non-point sources and loadings to Galveston Bay. Volume 1. Technical report. Final report  

SciTech Connect

The objective of the work was to conduct a geographic analysis and priority ranking of possible non-point sources and loads to Galveston Bay. The study area was defined by GBNEP to include the entire Galveston Bay drainage area with the exception of the Lake Houston and Lake Livingson watersheds; loadings from these upper watersheds were not mapped but were subjected to a separate pollutant loading analysis. The primary elements for the non-point analysis included watershed hydrology, load estimates, ranking of subwatersheds, upper watershed influences, and mapping.

Newell, C.J.; Rifai, H.S.; Bedient, P.B.

1992-03-01T23:59:59.000Z

495

The Golden Gate Textile Barrier: Preserving California Bay of San Francisco from a Rising North Pacific Ocean  

E-Print Network (OSTI)

Climate change in California may require construction of a barrier separating the Pacific Ocean from San Francisco Bay and the Sacramento River-San Joaquin River Delta simply because Southern California is remarkably dependent on freshwater exported from the Delta. We offer a new kind of salt barrier, a macroproject built of impermeable textile materials stretched across the Golden Gate beneath the famous bridge. We anticipate it might eventually substitute for a recently proposed San Francisco In-Stream Tidal Power Plant harnessing a 1.7 m tide at the Bay entrance if future climate conditions Statewide is conducive. First-glance physics underpin our macroproject.

Richart B. Cathcart; Alexander A. Bolonkin

2007-02-04T23:59:59.000Z

496

The Golden Gate Textile Barrier: Preserving California Bay of San Francisco from a Rising North Pacific Ocean  

E-Print Network (OSTI)

Climate change in California may require construction of a barrier separating the Pacific Ocean from San Francisco Bay and the Sacramento River-San Joaquin River Delta simply because Southern California is remarkably dependent on freshwater exported from the Delta. We offer a new kind of salt barrier, a macroproject built of impermeable textile materials stretched across the Golden Gate beneath the famous bridge. We anticipate it might eventually substitute for a recently proposed San Francisco In-Stream Tidal Power Plant harnessing a 1.7 m tide at the Bay entrance if future climate conditions Statewide is conducive. First-glance physics underpin our macroproject.

Cathcart, R B; Bolonkin, Alexander A.; Cathcart, Richart B.

2007-01-01T23:59:59.000Z

497

CX-002284: Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

Environmental Effects of Sediment Transport Alteration and Impacts on Protected Species: Edgartown Tidal Energy ProjectCX(s) Applied: B3.1, B3.3, B3.6, A9Date: 05/10/2010Location(s): Muskegot Bay Area, MassachusettsOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

498

CX-100157 Categorical Exclusion Determination  

Energy.gov (U.S. Department of Energy (DOE))

NREL - GSA Alexandria Bay NY Border Station-Addition of SODAR Unit; NREL Tracking No. 15-008 Award Number: DE-AC36-08GO28308 CX(s) Applied: A9, B3.1 Date: 12/23/2014 Location(s): NY Office(s): Golden Field Office

499

Bay County, Florida waste-to-energy facility air emission tests  

SciTech Connect

The Bay County Resource Management Center is located 10 miles Northeast of Panama City, Florida. Panama City is a resort community approximately 100 miles east of Pensacola, Florida, on the northwest coast of Florida's panhandle. The average population of this area is approximately 115,000. The average quantity of municipal solid (MSW) waste generated in Bay County during most of the year is 300 tons per day. However, during the summer months when the population increases to more than 150,000 the community must handle in excess of 350 tons of MSW per day. The County decided to design the facility to ultimately burn 510 tons of MSW to allow additional waste to be processed as the population and quantity of waste increases. Until other sources of MSW are procured, the facility is supplementing the 350 tpd of MSW with about 160 tpd of wood waste.The facility began initial start-up, equipment check-out, and instrument calibration in February 1987. Plant shakedown and systems operational checks were made from February through May. This paper discusses emission testing which was conducted from late April through early June. The emission compliance tests were completed on June 4-5, 1987. The facility acceptance test and emission compliance test were completed five months ahead of the original project schedule.

Beachler, D.S.; Pompelia, D.M.; Weldon, J. (Westinghouse Electric Corp., Pittsburgh, PA (USA))

1988-01-01T23:59:59.000Z

500

Categorical Exclusion (CX) Determination  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Pronghorn Gas Plant 115 kV transmission line. Pronghorn Gas Plant 115 kV transmission line. Description of Proposed Action: Western received an interconnection request from Upper Missouri G & T Electric Cooperative Inc's (Upper Missouri) member Roughrider Electric Cooperative, Inc. (Roughrider) to interconnect at Western's Belfield Substation in November of2010. The request for interconnection is for a line bay addition to the existing 230-kilovolt (kV) ring bus at Western's Belfield substation; as well as the installation of a revenue meter at a proposed new substation, South Heart substation, owned and operated by Upper Missouri. In order to bring the power into Western's substation, Upper Missouri and Roughrider must interconnect their Pronghorn substation, located in SEC 17 T140N R99W, to the proposed South Heart substation, located in