Sample records for determination alaska-tribe-bristol bay

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

    E-Print Network [OSTI]

    Furnans, Jordan

    2004-01-01T23:59:59.000Z

    to the hypoxic region, and the salinity concentrations in the flow will also be varied in attempts to match the field data. • Wind: the wind field above Corpus Christi Bay is likely to be of vital importance in determining the bay’s circulation patterns.... The wind stress at the water surface contributed turbulent energy to the water column, and it dictates Exploring Hydrodynamic Modeling of Texas Bays - Furnans 16 currents and vertical mixing of constituents. Wind data may be spatially and temporally...

  2. Daya Bay

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOffice ofINL is aID ServiceHoytL.ParrsDavidDawit1Bay

  3. RICHMOND BAY CAMPUS RICHMOND BAY CAMPUS

    E-Print Network [OSTI]

    Lee, Jason R.

    will be excavated in advance of Phase 1 development. · Other soil contamination at the RFS to be managed CAMPUS #12;RICHMOND BAY CAMPUS #12;RICHMOND BAY CAMPUS Multi-Modal Access · Transportation Demand Management program would be in place prior to completion of first phase development, with priority

  4. CX-008582: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008582: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic (PV) Manufacturing Initiative - Core Subawards CX(s)...

  5. Chesapeake Bay Restoration Act (Maryland)

    Broader source: Energy.gov [DOE]

    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...

  6. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  7. Chesapeake Bay Preservation Programs (Multiple States)

    Broader source: Energy.gov [DOE]

    The Chesapeake Bay Program is a unique regional partnership that has led and directed the restoration of the Chesapeake Bay since 1983. The Chesapeake Bay Program partners include the states of...

  8. 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)...

  9. Richmond Bay Campus: Project Update

    E-Print Network [OSTI]

    Lee, Jason R.

    Coordinate with City of Richmond South Shoreline Area planning #12;Richmond Bay Campus Vision A stateRichmond Bay Campus: Project Update Prepared for the Richmond City Council October 1, 2013 #12 and UCB · City of Richmond Updates · Summary · Questions & Answers #12;LBNL Project Update #12;University

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

    E-Print Network [OSTI]

    Piper, Erin Alynn

    2011-08-08T23:59:59.000Z

    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...

  11. Acoustic characteristics of bay bottom sediments in Lavaca Bay, TX

    E-Print Network [OSTI]

    Patch, Mary Catherine

    2005-08-29T23:59:59.000Z

    acoustic return of the bay bottom, and 2) strong, shallow reflectors??surface strong, mounds, buried strong, andburied multiples, which describe strong acoustic returns in the upper 5 m of stratigraphy. Within the lower package, four categories were...

  12. CX-005323: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination ARPA-E Technical Support Memo Appendices Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations...

  13. Marcus Hutter -1 -Online Prediction Bayes versus Experts Online Prediction

    E-Print Network [OSTI]

    Hutter, Marcus

    Marcus Hutter - 1 - Online Prediction ­ Bayes versus Experts Online Prediction: Bayes versus;Marcus Hutter - 2 - Online Prediction ­ Bayes versus Experts Table of Contents · Sequential/online prediction: Setup · Bayesian Sequence Prediction (Bayes) · Prediction with Expert Advice (PEA) · PEA Bounds

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

    E-Print Network [OSTI]

    LeFrançois, Suzanne O'Neil, 1980-

    2003-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Albertson, Andrea Kai

    1998-01-01T23:59:59.000Z

    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 and sediment characteristics associated with each marsh type. Vegetative...

  16. Sedimentary parameters of upper Barataria Bay, Louisiana

    E-Print Network [OSTI]

    Siegert, Rudolf B

    1961-01-01T23:59:59.000Z

    SEDIMENTATION WITHIN THE BAY. 12 Tidal Action Wind Action Currents 15 17 Bay currents Gulf currents 18 19 Artificial Processes Initiated by Man ANALYTICAL PROCEDURE 21 Sampling 23 TABLE OF CONTENTS (continued) Sample Preparation Size Analysis... is the principal motive force for currents within the bay. It will be shown subse- quently that these currents are primarily responsible for the distribution of bottom sediments within the bay. Wind Action The prevailing approach of winds, as d. etermined from...

  17. ID3, SEQUENTIAL BAYES, NAIVE BAYES AND BAYESIAN NEURAL NETWORKS

    E-Print Network [OSTI]

    Kononenko, Igor

    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

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

    E-Print Network [OSTI]

    Larm, Katherine, Dd 1970-

    1998-01-01T23:59:59.000Z

    , is used because of its proximity and severity to the site of interest in Cox Bay. A planetary boundary layer model is used to determine the wind fields that result from Hurricane Carla. Hurricane parameters are obtained from the Hurricane Database... will result in the suspended sediment being transported. The wind field, wave climate, and tides provide the energy and momentum to suspend and transport sediments. Since the area in Cox Bay in general has a clean layer of sediments, these daily processes...

  19. CX-009558: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-009558: Categorical Exclusion Determination PMVI Bay Area Photovoltaic Consortium CX(s) Applied: A9, B3.15, B3.6 Date: 12042012 Location(s): California...

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

    Broader source: Energy.gov (indexed) [DOE]

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

  1. Humboldt Bay Initiative: 2001 update and accomplishments

    E-Print Network [OSTI]

    Schlosser, Susan; Price-Hall, Rebecca

    2011-01-01T23:59:59.000Z

    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

  2. Recent Results From The Daya Bay Experiment

    E-Print Network [OSTI]

    Chao Zhang; for the Daya Bay Collaboration

    2015-01-20T23:59:59.000Z

    The Daya Bay reactor neutrino experiment has observed the disappearance of electron antineutrinos from nuclear reactors at $\\sim$kilometer baselines. The relative measurement of the $\\bar\

  3. Recent Results From The Daya Bay Experiment

    E-Print Network [OSTI]

    Zhang, Chao

    2015-01-01T23:59:59.000Z

    The Daya Bay reactor neutrino experiment has observed the disappearance of electron antineutrinos from nuclear reactors at $\\sim$kilometer baselines. The relative measurement of the $\\bar\

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

    E-Print Network [OSTI]

    Delaney, Timothy Patrick

    1994-01-01T23:59:59.000Z

    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 associated with each type of marsh. The transplanted marshes...

  5. Bay Bridge Lights Presentation prepared by Zoon Engineering

    Energy Savers [EERE]

    2015 BAY BRIDGE LIGHTS Presentation prepared by Zoon Engineering Presentation Outline Lighting of the New East Span of the Bay Bridge Brief Over view Lighting Facts ...

  6. admiralty bay antarctica: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    E. Distefano; S. Messina; G. Cutispoto 2008-07-18 103 BAY AREA PARK RELATIONAL CREEK Computer Technologies and Information Sciences Websites Summary: BAY AREA PARK CODD...

  7. Bay Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160 EastMaine:Barbers Point Housing,Illinois:County is a countyVentures6.3261815°,Bay

  8. ARRA Proposed Award: Retrofit Bay Area

    E-Print Network [OSTI]

    ARRA Proposed Award: Retrofit Bay Area Counties of Alameda, Contra Costa, Marin, San Francisco per year Prime contractor: Association of Bay Area Governments (ABAG) Sub contractors: Alameda County Waste Management Authority (StopWaste.org) County of Contra Costa County of Marin City

  9. Low Oxygen Environments in Chesapeake Bay

    E-Print Network [OSTI]

    Boynton, Walter R.

    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

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

    E-Print Network [OSTI]

    Yifang Wang

    2006-10-09T23:59:59.000Z

    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.

  11. Influence of soil physicochemical properties on hydrology and restoration response in Carolina Bay wetlands.

    SciTech Connect (OSTI)

    Barton, C. D.; Andrews, D.M.; Kolka, R.K.

    2006-04-01T23:59:59.000Z

    Carolina Bays are shallow depression wetlands found in the southeast US that have been severely altered by human activity. The need to restore these complex and diverse systems is well established, but our understanding of basic wetland hydrological processes is limited, hence our ability to predict the need for and/or assess the effectiveness of bay restorations is hindered. Differing physicochemical properties of soils within bay interiors may control bay hydrology. However, previous efforts to establish relationships between soil characteristics and bay hydrology have been inconclusive and the question still remains as to why some bays are ponded throughout the year while others, within a similar landscape unit, are predominantly dry. An assessment of soil and hydrologic characteristics was initiated in restored and unrestored control bays to determine if a relationship exists. Soil morphology was described and permanent monitoring wells were installed at each site. Soil samples were collected by horizon to a depth of 2 meters at the topographic center of each site, and then analyzed. After three years, multiple regression analysis (stepwise backward and forward) was used to establish relationships between the soil physicochemical characteristics and bay hydroperiod in the undisturbed sites. Results from surface soils indicated that exchangeable acidity (EA) was the best single predictor of hydrology. The best double predictor was EA and total N and EA, total N and total C as the best triple predictor. A significant relationship (r2 = 0.96) between hydroperiod and clay content in the argillic horizon (Bt) was also observed. Subsequently, this relationship was utilized to predict hydrologic response using pre-restoration hydroperiod data. The model accurately identified sites that did not need hydrologic restoration (too wet), and effectively showed sites that responded well to restoration activities.

  12. Comprehensive characterization report on Winter Quarters Bay, McMurdo Station, Antarctica

    SciTech Connect (OSTI)

    Crockett, A.B.; White, G.J.

    1997-01-01T23:59:59.000Z

    Winter Quarters Bay is a small embayment located adjacent to the United States largest base in Antarctica, McMurdo Station. McMurdo Station, which is managed by the National Science Foundation`s Office of Polar Programs, was constructed in 1955, has been in constant use since that time, and has a population of about 1,000 persons during the summer and about 250 people for the winter. The bay offers shelter for ships and an ice dock is used during January and February to off load fuel and cargo. During earlier times, trash from the McMurdo Station was piled on the steep shoreline of the bay, doused with several thousand gallons of fuel and ignited. That practice has ceased and the site has been regraded to cover the waste. The bottom of the bay is littered with drums, equipment, tanks, tires, all sorts of metal objects, cables, etc., especially the southeastern side where dumping took place. The sediments are gravel in some places yet fine and fluid at other sites with coarse particles intermixed. The original benthic community is not well recorded but significant ecological changes have occurred. Sediments are contaminated with PCBs, metals, and hydrocarbon fuels. This report summarizes available information on Winter Quarters Bay and was originally intended to be used by workshop participants to become familiar with the bay prior to becoming updated with unpublished data by various Antarctic investigators. The proposed workshop was to assist the National Science Foundation in determining whether and how the bay should be remediated and to develop an integrated research plan if additional data were needed. However, plans changed, the workshop was never conducted, but the briefing report was prepared. Most of this report reviews and summarizes other published data. The only new data are those from the Idaho National Engineering and Environmental Laboratory`s investigation into the distribution of organic contaminants in the bay and sediment toxicity testing.

  13. New and Underutilized Technology: High Bay LED Lighting

    Broader source: Energy.gov [DOE]

    The following information outlines key deployment considerations for high bay LED lighting within the Federal sector.

  14. A study of the Galveston Bay bait-shrimp fishery

    E-Print Network [OSTI]

    Lamkin, John Tillman

    1984-01-01T23:59:59.000Z

    :1 with a yearly average of 4:1. Watts and pellegrin (1982) working off Texas and Louisiana reported ratios ranging from 3. 8:1 (& 10 fm) and 13. 9:1 (0-10 fm) in 1981 to 1. 7:1 and 4. 6:1, respectively, in 1982. Composition of the incidental catch... AREA Offatts Bayou West Bay Offatts Bayou West Bay Offatts Bayou West Bay Offatts Bayou West Bay % OF TOWS 26 74 50 50 7 93 6 94 November 1981 Lower Galveston Bay 28 West Bay 72 December 1981 Lower Galveston Bay 100 May 1982 June...

  15. Introduction The bay scallop, Argopecten irradi-

    E-Print Network [OSTI]

    71(3) 17 Introduction The bay scallop, Argopecten irradi- ans amplicostatus, has been present (Garcia-Cubas, 1968). Historical Uses Mollusks were used by the pre-Co- lumbian cultures in Mexico as food

  16. The construction of the Browns Bay Vessel

    E-Print Network [OSTI]

    Amer, Christopher Francis

    2012-06-07T23:59:59.000Z

    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...

  17. Maximum likelihood reconstruction for the Daya Bay Experiment

    E-Print Network [OSTI]

    Xia Dongmei

    2014-03-07T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Mostow, Jack

    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

  19. 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

  20. The influence of physicochemical factors and wind-induced resuspension on microalgal and zooplankton community assemblages in a shallow coastal embayment, South Bay, TX, USA

    E-Print Network [OSTI]

    Stone, Jennifer Sue

    2006-08-16T23:59:59.000Z

    , such as predation, on the plankton communities in South Bay, Texas. Microalgal photopigments were ascertained by high-performance liquid chromatography (HPLC) to determine the relative abundances of major algal classes. Zooplankters were identified to the lowest...

  1. IMPACTS OF CLIMATE CHANGE ON SAN FRANCISCO BAY AREA

    E-Print Network [OSTI]

    IMPACTS OF CLIMATE CHANGE ON SAN FRANCISCO BAY AREA RESIDENTIAL ELECTRICITY CONSUMPTION anthropogenic climate change on residential electricity consumption for the nine San Francisco Bay Area counties with different meant temperatures on households' electricity consumption. The estimation uses a comprehensive

  2. 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

  3. THERMOFLUID OPTIMIZATION OF A HEATED HELICOPTER ENGINE COOLING BAY SURFACE

    E-Print Network [OSTI]

    Wang, Gaofeng Gary

    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

  4. 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

  5. Chesapeake Bay anoxia: origin, development, and significance

    SciTech Connect (OSTI)

    Officer, C.B.; Biggs, R.B.; Taft, J.L.; Cronin, L.E.; Tyler, M.A.; Boynton, W.R.

    1984-01-06T23:59:59.000Z

    Anoxia occurs annually in deeper waters of the central portion of the Chesapeake Bay and presently extends from Baltimore to the mouth of the Potomac estuary. This condition, which encompasses some 5 billion cubic meters of water and lasts from May to September, is the result of increased stratification of the water column in early spring, with consequent curtailment of reoxygenation of the bottom waters across the halocline, and benthic decay of organic detritus accumulated from plankton blooms of the previous summer and fall. The Chesapeake Bay anoxia appears to have had significant ecological effects on many marine species, including several of economic importance. 43 references, 7 figures, 1 table.

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

    E-Print Network [OSTI]

    Maddox, Donald Shea

    2007-04-25T23:59:59.000Z

    based on changes in amplitude and stratigraphy. Parallel, layered sediments are seen filling the bay valley and resting atop a sharp contact at which the acoustic signal fades out. Along the flanks of the valley fill the acoustic response revealed...

  7. Fuzzy decision and control, the Bayes context

    E-Print Network [OSTI]

    Painter, John H.

    1993-12-15T23:59:59.000Z

    This paper shows how it is that fuzzy control may be viewed as a particular kind of stochastic (Bayesian) control. With the Bayes approach, fuzzy control may be viewed as an ensembled-average control, where the average is taken over a set...

  8. Carolina bays of the Savannah River Plant

    SciTech Connect (OSTI)

    Schalles, J.F. (Creighton Univ., Omaha, NE (USA)); Sharitz, R.R.; Gibbons, J.W.; Leversee, G.J.; Knox, J.N. (Savannah River Ecology Lab., Aiken, SC (USA))

    1989-01-01T23:59:59.000Z

    Much of the research to date on the Carolina bays of the Savannah River Plant and elsewhere has focused on certain species or on environmental features. Different levels of detail exist for different groups of organisms and reflect the diverse interests of previous investigators. This report summarizes aspects of research to date and presents data from numerous studies. 70 refs., 14 figs., 12 tabs.

  9. Mercury bioaccumulation in Lavaca Bay, Texas

    E-Print Network [OSTI]

    Palmer, Sally Jo

    1992-01-01T23:59:59.000Z

    (waves), and human activities (dredging and shrimping) can potentially release mercury to the overlying water (LINDBERG and HARRISS, 1977; CRANSTON, 1976). The solubility, reactivity, and toxicity of mercury is dependent on its form. Divalent mercury... 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...

  10. Bristol Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarre BiomassTHISBrickyard Energy PartnersUnitedBristol Bay

  11. Chesapeake Bay Test Site | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarreisVolcanic National Park | Open EnergyFacilityChesapeake Bay

  12. On the circulation and tidal flushing of Mobile Bay, Alabama

    E-Print Network [OSTI]

    Austin, George Belden

    1953-01-01T23:59:59.000Z

    . Temperature-Salinity Data (Mobile River) . . . . . . . . . . . ~ . . 56 III. Current and Wind Data 57 Current and Wind Data (continued) Current and Wind Data (continued) IV, Mobile River-Bay Volume Segments 59 V. Mobile River-Bay Cumulative Volume... wind velocities from the South and Nest), a "norther" blew in on the 28th of October bringing lower temperatures and strong northeast winds. This situation lasted for two days, and the effects on the water movements in the bay are rather clearly...

  13. Petroleum hydrocarbon-degrading bacteria in the Galveston Bay system

    E-Print Network [OSTI]

    Schropp, Steven James

    1979-01-01T23:59:59.000Z

    are southward out of upper Galveston and Trinity Bays. Circulation in lower Galveston, East and Nest Bays is reversible, depending on tides, wind direction and amount of runoff (51). The prevailing winds are southeasterly during most of the year.... Southeasterly winds tend to push water into the bays, limiting tidal exchange with the Gulf (51). During the winter, strong northerly wind. s frequently occur with the passing of cold fronts. These winds tend to generate waves, which resuspend mud in Trinity...

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

    SciTech Connect (OSTI)

    Kushman, Chris

    2014-02-03T23:59:59.000Z

    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 Energy’s Tribal Energy Program. This grant aimed to study select Bay Mills Indian Community community/government buildings to determine what is required to reduce each building’s 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 Community’s 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 project’s feasibility study and resulting plan is intended to act as a guide to the Community’s 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.

  15. Subenvironments of deposition in San Antonio Bay, Texas

    E-Print Network [OSTI]

    Hall, Gary Lynn

    1973-01-01T23:59:59.000Z

    and flows southward out the mouth of Guadalupe Bay. Since the winds are dom1nantly from the southeast, the water is pushed in a southwestward direction where it beg1ns to mix w1th the more saline waters of upper San Antonio and lower Hynes Bay. The water... winds that cause the movement of water in and out of the bay to become sluggish and almost stagnant. Histor of San Antonio Ba Shepard and Noore (1960) have reconstructed the history of San Antonio Bay from its origin to the present. The following...

  16. Control of hardwood regeneration in restored carolina bay depression wetlands.

    SciTech Connect (OSTI)

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

    2012-06-01T23:59:59.000Z

    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.

  17. Aerial survey of Bay Area continues through Saturday | National...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    California's Bay Area. The helicopter crew has been taking measurements of naturally-occurring background radiation. The survey is expected to be completed on Saturday, Sept. 1....

  18. arcachon bay france: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Bay Area Environmental Sciences and Ecology Websites Summary: Soulejule Stevens Creek TotalMercury(ppmwetweight) Mercury Concentrations in Channel Catfish 12;0.00 0.50...

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

    Broader source: Energy.gov [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.

  20. astrophyllite bay complex: Topics by E-print Network

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    to N qubits. Finally, we show that quantum state estimates derived via the principle of maximum entropy are fundamentally different from those obtained via the quantum Bayes...

  1. Appendix B. Selected Web Pages Related to MHB 1. NARRAGANSETT BAY PORTS DATA: (CONDUCTIVITY, SALINITY,

    E-Print Network [OSTI]

    Chen, Changsheng

    Power Plant Canal Station Power Plant Mystic Power Plant http://www.pirg.org/masspirg/enviro of Narragansett Bay fish and fisheries, a survey of sediment pollution in Narragansett Bay, a study of Bay

  2. Independent measurement of the neutrino mixing angle theta(13) via neutron capture on hydrogen at Daya Bay

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Jaffe D. E.; Jaffe, D.E., et al. Daya Bay Collaboration

    2014-10-01T23:59:59.000Z

    A new measurement of the ?13 mixing angle has been obtained at the Daya Bay Reactor Neutrino Experiment via the detection of inverse beta decays tagged by neutron capture on hydrogen. The antineutrino events for hydrogen capture are distinct from those for gadolinium capture with largely different systematic uncertainties, allowing a determination independent of the gadolinium-capture result and an improvement on the precision of the ?13 measurement. With a 217-day antineutrino data set obtained with six antineutrino detectors and from six 2.9 GWth reactors, the rate deficit observed at the far hall is interpreted as sin22?13=0.083±0.018 in the three-flavor oscillation model. When combined with the gadolinium-capture result from Daya Bay, we obtain sin22?13=0.089±0.008 as the final result for the six-antineutrino-detector configuration of the Daya Bay experiment.

  3. Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii...

    Broader source: Energy.gov (indexed) [DOE]

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

  4. E-Print Network 3.0 - area james bay Sample Search Results

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Mayaguez Collection: Geosciences 12 Florida Bay and Biscayne Bay have been greatly affected by changes in water quality in the last century due to the anthropogenic modification...

  5. E-Print Network 3.0 - apalachicola bay florida Sample Search...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    SEA Summary: . (1) Apalachicola Bay, FL; (2) Cedar Key, FL; (3) Port Aransas, TX; (4) Tabasco, Mexico; (5) Puerto... , Apalachicola Bay, FL; CK, Cedar Key, FL; MX, Tabasco,...

  6. Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?

    E-Print Network [OSTI]

    Sugiyama, Masashi

    Bayes? Shinichi Nakajima Masashi Sugiyama Nikon Corporation Tokyo Institute of Technology Abstract Bayesian scenario, where the hyperpa- rameters are also estimated from observation, are trivial and useless, although the global solutions of empirical PB and empirical MAP are useless, the local solutions behave

  7. A comprehensive approach for stimulating produced water injection wells at Prudhoe Bay, Alaska

    SciTech Connect (OSTI)

    Fambrough, J.D.; Lane, R.H.; Braden, J.C.

    1995-11-01T23:59:59.000Z

    The paper presents a three-component approach to removing damage from produced water injection wells of Prudhoe Bay Field, Alaska: (1) identification of plugging material, (2) evaluation and selection of potential treatment chemicals, and (3) design and implementation of a well treatment and placement method. Plugging material was sampled anaerobically and kept frozen prior to identification and evaluation. Appropriate treatment chemicals were determined through a series of solvation, filtration, and weight-loss tests. Field treatments were designed so that the treating chemicals entered the formation under normal operating conditions, i.e., at pressures and rates similar to those present during produced water injection. A number of treatments improved injection rates and profiles, but continued injection of oil and solids-laden water caused deterioration of well performance at rates that precluded general application of the treatment at Prudhoe Bay.

  8. Tuscola Bay Wind | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revisionEnvReviewNonInvasiveExplorationUT-gTaguspark JumpDetective:ToyoTurkey: Energy ResourcesTurtleTuscola Bay

  9. Felton Bay Logistics, LLC | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision has beenFfe2fb55-352f-473b-a2dd-50ae8b27f0a6 NoSan Leandro,LawFEMAProjectExpressFelton Bay Logistics, LLC

  10. Clean Cities: Tampa Bay Clean Cities coalition

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center Home PageEmerging FuelsRelated4Rogue Valley CleanCaliforniaTampa Bay

  11. Dissolved organic matter in Chesapeake Bay sediment pore waters

    E-Print Network [OSTI]

    Burdige, David

    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

  12. 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

  13. San Francisco Bay Map Collection / Neal Harlow (collector)

    E-Print Network [OSTI]

    Handy, Todd C.

    San Francisco Bay Map Collection / Neal Harlow (collector) Last revised October 2011 University / Physical Description o Collector's Biographical Sketch o Scope and Content o Notes Catalogue entry (UBC Library catalogue) #12;Collection Description San Francisco Bay Map Collection / Neal Harlow (collector

  14. CALIFORNIA STATE UNIVERSITY, EAST BAY FACULTY EMPLOYMENT OPPORTUNITY

    E-Print Network [OSTI]

    Jornsten, Rebecka

    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

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

    E-Print Network [OSTI]

    Hellerstein, Joseph M.

    /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

  16. Conceptual Design Studies of the KSTAR Bay-Nm Cassette and Thomson Scattering Optics

    SciTech Connect (OSTI)

    Feder R., Ellis R., Johnson D., Park H., Lee H.G.

    2005-09-26T23:59:59.000Z

    A Multi-Channel Thomson Scattering System viewing the edge and core of the KSTAR plasma will be installed at the mid-plane port Bay-N. An engineering design study was undertaken at PPPL in collaboration with the Korea Basic Science Institute (KBSI) to determine the optimal optics and cassette design. Design criteria included environmental, mechanical and optical factors. All of the optical design options have common design features; the Thomson Scattering laser, an in-vacuum shutter, a quartz heat shield and primary vacuum window, a set of optical elements and a fiber optic bundle. Neutron radiation damage was a major factor in the choice of competing lens-based and mirror-based optical designs. Both the mirror based design and the lens design are constrained by physical limits of the Bay-N cassette and interference with the Bay-N micro-wave launcher. The cassette will contain the optics and a rail system for maintenance of the optics.

  17. Record water temperatures in Chesapeake Bay The temperature of water in the Chesapeake Bay changes with the season warmer in summer and colder in

    E-Print Network [OSTI]

    for this year. The heavy BLACK line is the average of all water termperaturesRecord water temperatures in Chesapeake Bay The temperature of water. We all remember cold winters (or the last warm winter) and the Bay water

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

    SciTech Connect (OSTI)

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

    1996-09-01T23:59:59.000Z

    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.

  19. Vibrio vulnificus dynamics in a south Texas bay

    E-Print Network [OSTI]

    Meyer, Shelli Lee

    2009-05-15T23:59:59.000Z

    understand the ecology of V. vulnificus and how environmental parameters found in south Texas bays and estuaries regulate its distribution. A recently developed molecular biological technique for the direct enumeration of V. vulnificus from estuarine water...

  20. Seagrass habitat utilization by fishes in Christmas Bay, Texas

    E-Print Network [OSTI]

    Crotwell, Patricia Lynn

    1997-01-01T23:59:59.000Z

    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...

  1. 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

  2. BayesDB : querying the probable implications of tabular data

    E-Print Network [OSTI]

    Baxter, Jay

    2014-01-01T23:59:59.000Z

    BayesDB, a Bayesian database table, lets users query the probable implications of their tabular data as easily as an SQL database lets them query the data itself. Using the built-in Bayesian Query Language (BQL), users ...

  3. Medium for exchange : Mission Bay media center/workplace

    E-Print Network [OSTI]

    Nutter, Christopher L. (Christopher Lowell)

    1996-01-01T23:59:59.000Z

    A casualty of the containerization of oceanic commerce, 350 acre Mission Bay in San Francisco, previously a bustling industrial shipping port, has fallen to disuse over the last 20 to 25 years. Within the last five , plans ...

  4. Investigation of tidal power, cobscook bay, maine. Reconnaissance report

    SciTech Connect (OSTI)

    Not Available

    1980-08-01T23:59:59.000Z

    Cobscook Bay is located in Eastern, Maine, near Eastport. The bay experiences an average tide range of 18 feet and has a surface area of about 40 square miles at high tide. Single pool, single effect projects have been analyzed. Two projects, one having an installed capacity of 165 Mw and the other, 195 Mw were found to be economically feasible when forecasted, fuel escalation costs were considered.

  5. Sedimentary parameters of lower Barataria Bay, Jefferson Parish, Louisiana

    E-Print Network [OSTI]

    Frazier, David E

    1960-01-01T23:59:59.000Z

    4 Tidal Influx Salinity 7 Longshore and Offshore Currents Normal W'inde and Tropical Storms . . ~. . . ~ ~ . . ~ . ~ ~ 9 Life in Lower Barataria Bay . . . 'i2 Effects of Industry on Sedimentation. . . . . . . 13 Stratigraphy 17 Effects... can generate wind waves capable of placing fine clastic sediments in suspension in the shallow areas of lower Barataria Bay (Dr, B, W. Wilson, A. and M?College ef Texas, personal communication). As shown in Table 1, winds having these velocities...

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

    SciTech Connect (OSTI)

    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

    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.

  7. Cathodic Protection of the Yaquina Bay Bridge

    SciTech Connect (OSTI)

    Bullard, Sophie J.; Cramer, Stephen D.; Covino, Bernard S., Jr.; Holcomb, Gordon R.; Russell, James H.; Laylor, H.M.; Cryer, C.B.

    2001-02-01T23:59:59.000Z

    The Yaquina Bay Bridge in Newport, Oregon, was designed by Conde B. McCullough and built in 1936. The 3,223-foot (982 m) structure is a combination of concrete arch approach spans and a steel through arch over the shipping channel. Cathodic protection is used to prevent corrosion damage to the concrete arches. The Oregon Department of Transportation (Oregon DOT) installed a carbon anode coating (DAC-85) on two of the north approach spans in 1985. This anode was operated at a current density of 6.6 mA/m2(0.6 mA/ft2). No failure of the conductive anode was observed in 1990, five years after application, or in 2000, 15 years after application. Thermal-sprayed zinc anodes 20 mils (0.5 mm) thick were applied to half the south approach spans beginning in 1990. Thermal-sprayed zinc anodes 15 mils (0.4 mm) thick were applied to the remaining spans in 1996. These anodes were operated at a current density of 2.2 mA/m2(0.2 mA/ft2). In 1999, four zones on the approach spans were included in a two-year field trial of humectants to improve zinc anode performance. The humectants LiNO3 and LiBr were applied to two zones; the two adjacent zones were left untreated as controls. The humectants substantially reduced circuit resistance compared to the controls.

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

  9. 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

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

    Energy Savers [EERE]

    Steven 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...

  11. The Daya Bay Nuclear Plant Project in the Light of International Environmental Law

    E-Print Network [OSTI]

    Mushkat, Roda

    1990-01-01T23:59:59.000Z

    result from locating a nuclear plant so close to the Hongat 1292 (1975). THE DA YA BAY NUCLEAR PLANT PROJECT national1986) (H.K. ). THE DA YA BAY NUCLEAR PLANT PROJECT IV. THE "

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

    E-Print Network [OSTI]

    Pomeroy, Caroline; Dalton, Michael

    2005-01-01T23:59:59.000Z

    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

  13. Education Program for Improved Water Quality in Copano Bay Final Report

    E-Print Network [OSTI]

    Berthold, A.; Moench, E.; Wagner, K.; Paschal, J.

    2012-05-17T23:59:59.000Z

    The Copano Bay watershed covers approximately 1.4 million acres encompassing portions of Karnes, Bee, Goliad, Refugio, San Patricio and Aransas counties. Copano Bay and its main tributaries, the Mission and Aransas rivers, were placed on the Texas...

  14. Anthropogenic Influence on Recent Bathymetric Change in West-Central San Francisco Bay

    E-Print Network [OSTI]

    Barnard, Patrick; Kvitek, Rikk

    2010-01-01T23:59:59.000Z

    Bay coastal system. Sedimentology, In: Li M, Sherwood C,Publication Book on Shelf Sedimentology. 33 p. Fregoso TA,

  15. A comprehensive study of Superfund program benefits in the Denver and Tampa Bay metropolitan areas

    SciTech Connect (OSTI)

    Held, K.; Casper, B.; Siddhanti, S.K. [Booz Allen and Hamilton, Inc., McLean, VA (United States); Smith, E.R. [Environmental Protection Agency, Washington, DC (United States)

    1995-12-31T23:59:59.000Z

    The purpose of the study is to evaluate the benefits of the Superfund program in selected geographic areas. The study demonstrates how the cleanup of Superfund sites has improved the overall quality of life of those in the affected communities. The study presents findings on the benefits of Superfund cleanup activity in the Denver, Colorado and Tampa Bay, Florida metropolitan areas. Denver and Tampa Bay were chosen from several areas that the EPA evaluated and screened during the initial phase of the study. These locations were chosen because of a substantial presence of Superfund activities, making it possible to assess the efficacy of the program. Several features make this study unique in terms of its overall goal. The study examines a broad range of benefit categories related to human health, environmental, and socioeconomic effects of Superfund cleanup activities. The study is also designed to assess benefits due to completed, current, and future planned activity at Superfund sites. This assessment covers Federal remedial activities at National Priorities List (NPL) sites, as well as relevant Federal removal actions in the study areas. These benefits are investigated from an area-wide perspective, as opposed to site-by-site, to determine Superfund`s overall effect on the communities in each area. The study consists of two major phases: Phase 1: Screening and ranking 16 prospective geographic areas and selecting Denver and Tampa Bay as the most appropriate areas for in-depth analysis; and Phase 2: Developing methodologies for assessing benefits, collecting relevant data, and analyzing the benefits from Superfund cleanup activity.

  16. Honolulu City Council to recognize UH Sea Grant Hanauma Bay Education Program volunteers

    E-Print Network [OSTI]

    Honolulu City Council to recognize UH Sea Grant Hanauma Bay Education Program volunteers Jean Carr of the many dedicated long-term volunteers with the UH Sea Grant Hanauma Bay Education Program (HBEP and the value of marine resources. For more information please contact the Hanauma Bay Education Program

  17. A Baseline Assessment of the Ecological Resources of Jobos Bay, Puerto Rico

    E-Print Network [OSTI]

    A Baseline Assessment of the Ecological Resources of Jobos Bay, Puerto Rico July 2011 Editors David. A Baseline Assessment of the Ecological Resources of Jobos Bay, Puerto Rico. NOAA Technical Memorandum NOS of the Ecological Resources of Jobos Bay, Puerto Rico Prepared by the Coastal and Oceanographic Assessment, Status

  18. 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

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

    E-Print Network [OSTI]

    McMaster University

    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

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

    E-Print Network [OSTI]

    US Army Corps of Engineers

    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

  1. Geological oceanography of the Atchafalaya Bay area, Louisiana

    E-Print Network [OSTI]

    Thompson, Warren Charles

    1953-01-01T23:59:59.000Z

    and also through a relatively narrow tidal channel leading out of Vermilion Bay. The main outlet fo~ the Atchafalaya Basin to the north of the area is the channel of the Lower Atchafalaya River, which winds its way across the marshland and empties... separately. Before considering any of these processes, however, it is recognized that the nature of wave, current, and tidal action both within the bay system and in the open Gulf is closely dependent upon the winds, so that a brief description...

  2. Sensitivity analysis of three-dimensional salinity simulations in North San Francisco Bay using the unstructured-grid SUNTANS model

    E-Print Network [OSTI]

    Fringer, Oliver B.

    and the confluence of the Sacramento­San Joaquin Rivers and comprises San Pablo Bay, Suisun Bay and Central Bay and San Joaquin rivers, while high inflows result in enhanced salinity stratification and gravitationalSensitivity analysis of three-dimensional salinity simulations in North San Francisco Bay using

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

    Broader source: Energy.gov [DOE]

    The U.S. Army Corps of Engineers is preparing, with DOE’s 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. BPA’s proposed action is to partially fund the proposal.

  4. Observations of remote and local forcing in Galveston Bay, Texas

    E-Print Network [OSTI]

    Guannel, Gregory

    2001-01-01T23:59:59.000Z

    A high quality set of 321 days of sea level and wind records and of 126 days of current records, from winter to spring, has been used to examine the relative importance of remote and local forcing on the subtidal response in Galveston Bay, Texas...

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

    Broader source: Energy.gov [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.

  6. Teaching Bayes' Rule: A Data Oriented Jim Albert 1

    E-Print Network [OSTI]

    Albert, James H.

    Teaching Bayes' Rule: A Data Oriented Approach Jim Albert 1 Bowling Green State University March 1997 1 Address for correspondence: Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, USA. #12; Abstract There is a current emphasis on making

  7. AT GUANTANAMO BAY: A HYBRID WIND-DIESEL SYSTEM

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    turbines. The integration of the wind system into the existing diesel power plant was modeled of the existing power system, the wind resource, and the proposed wind power plant. In addition, preliminaryWIND POWER AT GUANTANAMO BAY: A HYBRID WIND-DIESEL SYSTEM FOR THE US NAVY AT GUANTANAMO NAVAL BASE

  8. Bayes Net Toolbox practical Charles Fox, University of Sheffield

    E-Print Network [OSTI]

    Barker, Jon

    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

  9. Nitrogen Dynamics in Sandy Freshwater Sediments (Saginaw Bay, Lake Huron)

    E-Print Network [OSTI]

    of added 15NH4 + from lake water passing over dark sediment cores. Sediment-water fluxes of nitrogen at the sediment- water interface is derived from ammonium pro- duced from organic matter mineralization in surface ABSTRACT. Sediment-water nitrogen fluxes and transformations were examined at two sites in Sagi- naw Bay

  10. Bayes Estimation for the Marshall-Olkin Bivariate Weibull Distribution

    E-Print Network [OSTI]

    Kundu, Debasis

    Bayes Estimation for the Marshall-Olkin Bivariate Weibull Distribution Debasis Kundu1 & Arjun K. Gupta2 Abstract In this paper, we consider the Bayesian analysis of the Marshall-Olkin bivariate Weibull. This is a generalization of the Marshall-Olkin bivariate exponential dis- tribution. It is well known that the maximum

  11. Monterey Bay Aquarium Research A robotic sub samples the methane

    E-Print Network [OSTI]

    Tian, Weidong

    Monterey Bay Aquarium Research Institute A robotic sub samples the methane content of the seafloor.263 News Seafloor probe taps methane reservoir Greenhouse gas found in high abundance but risk of mass release uncertain. Nicola Jones A robotic submarine has been used to measure the amount of methane lurking

  12. Mission Bay Housing Services Bicycle Storage Procedures and Policies

    E-Print Network [OSTI]

    Yamamoto, Keith

    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

  13. 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

  14. Categorical Exclusion (CX) Determination

    Broader source: Energy.gov (indexed) [DOE]

    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...

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

    SciTech Connect (OSTI)

    Barton, Christopher

    2007-12-15T23:59:59.000Z

    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.

  16. DRAFT RICHMOND BAY CAMPUS LRDP | August 2013 The Richmond Bay Campus is a partnership between the University of Cali-

    E-Print Network [OSTI]

    Lee, Jason R.

    National Laboratory to create a state-of-the-art, inspirational, and sustainable place to produce world, the environment, health, and the global economy. In the near term, research at the Richmond Bay Campus will focus on cleaner methods to produce biofuels; an advanced understanding of the genomics of plants, microbes

  17. DRAFT RICHMOND BAY CAMPUS LRDP | November 2013 The Richmond Bay Campus is a partnership between the University of Cali-

    E-Print Network [OSTI]

    Lee, Jason R.

    is focused on the devel- opment of solutions for 21st century challenges in the areas of energy for innova- tion in the City of Richmond South Shoreline Area, serving as a catalyst for the development -- are directly supportive of the City's goals for the South Shoreline Area. The Richmond Bay Campus will serve

  18. The potential of the Matagorda Bay area of Texas to attract and accommodate senior citizens for retirement living

    E-Print Network [OSTI]

    Wynn, John Thomas

    1965-01-01T23:59:59.000Z

    to the Elderly Rating of Environmental Factors Wind Speed and Direction in the Matagorda Bay Area Sky Cover in the Matagorda Bay Area Average Relative Humidity of the Matagorda Bay area Average Temperature of the Matagorda Bay Area Index of Comfort 31 32...THE POTENTIAL OF THE MATAGORDA BAY AREA OF TEXAS TO ATTRACT AND ACCOMMODATE SENIOR CITIZENS FOR RETIREMENT LIVING A Thesis by JOHN T. WYNN Submitted to the Graduate College of Texas A&M University in partial ful- fillment...

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

    SciTech Connect (OSTI)

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

    2013-04-29T23:59:59.000Z

    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 wind’s 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.

  20. Investigation of tidal power, Cobscook Bay, Maine. Environmental Appendix

    SciTech Connect (OSTI)

    Not Available

    1980-08-01T23:59:59.000Z

    This report presents information regarding existing terrestrial and marine resources and water quality conditions in the Cobscook Bay area. A preliminary assessment of impacts from a tidal power project is also presented and data gaps are identified. Reports contained in the appendix were prepared by the U.S. Fish and Wildlife Service, the National Marine Fisheries Service, the University of Maine at Orino, School of Forestry Resources and the U.S. Army Corps of Engineers.

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

    SciTech Connect (OSTI)

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

    1995-12-31T23:59:59.000Z

    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.

  2. North Bay Shore, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(Utility Company) Jump to:City)Norristown, Pennsylvania:NorthBay Shore is a

  3. North Bay Village, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(Utility Company) Jump to:City)Norristown, Pennsylvania:NorthBay Shore is

  4. Cold Bay Hot Spring Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarreisVolcanicPower Address:ClimaticCoalogixCochisefield |Bay

  5. Galveston Bay Biodiesel LP GBB | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation, search Equivalent URIFrontier,JumpGahanna,Galveston Bay Biodiesel LP GBB

  6. Ambient dissolved oxygen concentrations in Delaware's Inland Bays. Final report, June 6, 1984

    SciTech Connect (OSTI)

    Biggs, R.B.

    1984-01-01T23:59:59.000Z

    Ambient dissolved oxygen concentrations were measured at dawn during August, 1983, in Rehoboth and Indian River Bays. In Indian River Bay, 59% of the D.O. measurements were below the State minimum water quality standard of 5 mg L/sup -1/, while in Rehoboth Bay 17% of the values fail to meet the State standards. Diurnal dissolved oxygen curves measured at 5 stations in the Bays and tributary creeks, provide evidence that, although the Bays are in reasonable balance with respect to apparent net daytime photosynthesis (Pa) and nighttime respiration (Rn), the absolute values of Pa and Rn are very high, compared with other coastal ecosystems, except for central Rehoboth Bay. These conclusions are consistent with the annual nutrient loads to the systems, which are about double for Indian River when contrasted with Rehoboth. 11 references, 1 figure, 7 tables.

  7. A technique for modeling exotic shrimp escapes in Matagorda and San Antonio Bays, Texas

    E-Print Network [OSTI]

    Shaw, Andrew J

    1999-01-01T23:59:59.000Z

    with modeling dispersing biota in bays, estuaries, or open water or that dealt with hydrodynamic modeling of bays, estuaries, and open water. Blanton et al (1995) used wind data and three years of sampling data from a single location to numerically model... models simulate water circulation in two or three dimensions using the variables wind, tide, evaporation, freshwater inflow, and precipitation. Assumptions - for large surface area to depth ratio water bodies, the third dimension is ignored (bay...

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (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. -...

  9. FEMP ESPC Success Story- U.S. Naval Station, Guantanamo Bay, Cuba

    Broader source: Energy.gov [DOE]

    Fact sheet describes the Energy Savings Performance Contract (ESPC) success story on environmental stewardship and cost savings at the U.S. Naval Station at Guantanamo Bay, Cuba.

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

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

  11. The hunt for theta13 at the Daya Bay nuclear power plant

    E-Print Network [OSTI]

    Wei Wang; for the Daya Bay collaboration

    2009-10-23T23:59:59.000Z

    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.

  12. Current Perspectives on the Physical and Biological Processes of Humboldt Bay

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01T23:59:59.000Z

    Humboldt Bay. Fab r icia sabella (Ehrenberg 1937) SABELLIDAEin estuarine mud. Banse (1979) reports Fab r icia sabellasabella from Newcastle Island, British Columbia; and

  13. 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]

    Peterson, Larry Randal

    1972-01-01T23:59:59.000Z

    meters deep, occupying the western third of the bay. The entire bay is sufficiently shallow and wind velocity 19 generally is strong enough to prevent thermal or salinity strati- fication, Sudden increases in wind velocity at all times of the year... of the bay margin is uncovered by lnw tides. More extensive bottom exposure is caused by frequent "northers" during winter which may lower the tide 0. 6-0. 9 m. In the summer and fall, prevailing onshore winds may have the opposite effect by raising...

  14. Enhanced Land Subsidence and Seidment Dynamics in Galveston Bay- Implications for Geochemical Processes and Fate and Transport of Contaminants

    E-Print Network [OSTI]

    Almukaimi, Mohammad E

    2013-07-05T23:59:59.000Z

    ENHANCED LAND SUBSIDENCE AND SEDIMENT DYNAMICS IN GALVESTON BAY- IMPLICATIONS FOR GEOCHEMICAL PROCESSES AND FATE AND TRANSPORT OF CONTAMINANTS A Thesis by MOHAMMAD ALMUKAIMI Submitted to the Office of Graduate Studies of Texas A... August 2013 Major Subject: Oceanography Copyright 2013 Mohammad Almukaimi ii ABSTRACT Galveston Bay is the second largest estuary in the Gulf of Mexico. The bay?s watershed and shoreline contains one of the largest concentrations...

  15. Engaging Regions in Globalization: The Rise of the Economic Relationship between the San Francisco Bay Area and China

    E-Print Network [OSTI]

    Volberding, Peter

    2011-01-01T23:59:59.000Z

    Bay Area's Economic Links to Greater China, 51. “Facts &Area Economy: Regional Interests and Global Outlook 2008, 51.

  16. Meter-baseline tests of sterile neutrinos at Daya Bay

    E-Print Network [OSTI]

    Y. Gao; D. Marfatia

    2013-05-07T23:59:59.000Z

    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.

  17. The muon system of the Daya Bay Reactor antineutrino experiment

    E-Print Network [OSTI]

    Daya Bay Collaboration

    2014-11-28T23:59:59.000Z

    The Daya Bay experiment consists of functionally identical antineutrino detectors immersed in pools of ultrapure water in three well-separated underground experimental halls near two nuclear reactor complexes. These pools serve both as shields against natural, low-energy radiation, and as water Cherenkov detectors that efficiently detect cosmic muons using arrays of photomultiplier tubes. Each pool is covered by a plane of resistive plate chambers as an additional means of detecting muons. Design, construction, operation, and performance of these muon detectors are described.

  18. The Muon System of the Daya Bay Reactor Antineutrino Experiment

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    An, F. P.; Hackenburg, R. W.; Brown, R. E.; Chasman, C.; Dale, E.; Diwan, M. V.; Gill, R.; Hans, S.; Isvan, Z.; Jaffe, D. E.; Kettell, S. H.; Littenberg, L.; Pearson, C. E.; Qian, X.; Theman, H.; Viren, B.; Worcester, E.; Yeh, M.; Zhang, C.

    2015-02-01T23:59:59.000Z

    The Daya Bay experiment consists of functionally identical antineutrino detectors immersed in pools of ultrapure water in three well-separated underground experimental halls near two nuclear reactor complexes. These pools serve both as shields against natural, low-energy radiation, and as water Cherenkov detectors that efficiently detect cosmic muons using arrays of photomultiplier tubes. Each pool is covered by a plane of resistive plate chambers as an additional means of detecting muons. Design, construction, operation, and performance of these muon detectors are described. (auth)

  19. MHK Projects/Swansea Bay | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpIncMAKGalway Bay IE < MHK ProjectRose Bend < MHKJintangSwansea

  20. Cutler Bay, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin:EnergyWisconsin:2003)Crowley County,Curran,784067°, -103.4511768°EnergyCutBay,

  1. Clean Cities: East Bay Clean Cities coalition (Oakland)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation Proposed New SubstationClean Communities of Western New York (Buffalo)Denver MetroBay Clean

  2. West Bay Shore, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov PtyInformationSEDSWawarsing,WebbWellsboro, Pennsylvania:Wenham,WeptosBabylonBay

  3. Nassau Bay, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 -Energieprojekte3Informationof EnergyNapa County,Nashotah, Wisconsin:Nassau Bay,

  4. Morro Bay, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithun Jump to:Moe WindMontMoraine IIMorro Bay, California:

  5. Near Fish Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's HeatMexico: EnergyMithunCenter Jump to: navigation,NavajoFish Bay Geothermal

  6. Winchester Bay, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperative JumpWilliamson County,Bay, OR) Jump to: navigation, search Equivalent

  7. Palmetto Bay, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoading map...(UtilityCounty,Orleans County,PPP EquipmentPartnersPalisadesPalmco Power NJ,Bay,

  8. BayWa Sunways JV | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORT Americium/CuriumSunways JV Jump to: navigation, search Name: BayWa

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin:Energy Nebraska (Utility Company) JumpKirkwood, MissouriLakota,Larsen Bay,

  10. Suttons Bay, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty LtdSteen,Ltd Jump to: navigation, search Name:STS Jump to:SutterSuttons Bay,

  11. Hot Springs Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat Jump to:PhotonHolyName HousingIII Wind Farm FacilityPot GeothermalOnBay

  12. REPRODUCTIVE LONGEVITY OF DRIFTING KELP MACROCYSTIS PYRIFERA (PHAEOPHYCEAE) IN MONTEREY BAY, USA1

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    REPRODUCTIVE LONGEVITY OF DRIFTING KELP MACROCYSTIS PYRIFERA (PHAEOPHYCEAE) IN MONTEREY BAY, USA1 index words: dispersal; drifting; germination; kelp; longevity; Macrocystis; Monterey Bay; rafts, especially for seaweeds (Norton 1992, Eckman 1996, Kinlan and Gaines 2003, Reed et al. 2006). The giant kelp

  13. Nitrogen sources and cycling in the San Francisco Bay Estuary: A nitrate dual isotopic composition approach

    E-Print Network [OSTI]

    Paytan, Adina

    as 25.0%) at the Sacramento­San Joaquin River delta region give rise to a wide range of d18ONO3 valuesNitrogen sources and cycling in the San Francisco Bay Estuary: A nitrate dual isotopic composition18O) within the estuarine system of San Francisco (SF) Bay, California, to explore the utility

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

    E-Print Network [OSTI]

    Schroer, Lee Allen

    2014-05-07T23:59:59.000Z

    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...

  15. Optimal Pollution Mitigation in Monterey Bay Based on Coastal Radar Data and Nonlinear

    E-Print Network [OSTI]

    Marsden, Jerrold

    Optimal Pollution Mitigation in Monterey Bay Based on Coastal Radar Data and Nonlinear Dynamics run-off which is a typical source of pollution in the bay. We show that a HF radar-based pollution release scheme using this flow structure reduces the impact of pollution on the coastal envi- ronment

  16. 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

  17. 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

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

    E-Print Network [OSTI]

    Fleskes, Joe

    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

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

    E-Print Network [OSTI]

    Ezer,Tal

    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

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

    E-Print Network [OSTI]

    Fratantoni, David

    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

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

  2. Environmental links to interannual variability in shellfish toxicity in Cobscook Bay and eastern Maine, a strongly tidally mixed coastal region

    E-Print Network [OSTI]

    Townsend, David W.

    Environmental links to interannual variability in shellfish toxicity in Cobscook Bay and eastern e i n f o Keywords: Harmful algal blooms Gulf of Maine Cobscook Bay Shellfish toxicity a b s t r a c of Cobscook Bay, where strong tidal mixing tends to reduce seasonal variability in oceanographic properties

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

    E-Print Network [OSTI]

    Islam, Mohammad S.

    2010-07-14T23:59:59.000Z

    Corpus Christi Bay (TX, USA) is a shallow wind-driven bay which is designated as a National Estuary due to its impact on the economy. But this bay experiences periodic hypoxia (dissolved oxygen <2 mg/l) which threatens aerobic aquatic organisms...

  4. Please cite as: Boynton, W.R. 1998. Chesapeake Bay eutrophication Current status, historical trends, nutrient limitation

    E-Print Network [OSTI]

    Boynton, Walter R.

    Please cite as: Boynton, W.R. 1998. Chesapeake Bay eutrophication Current status, historical trends NUTRIENTS WORKSHOP CHESAPEAKE BAY EUTROPHICATION: CURRENT STATUS, HISTORICAL TRENDS, NUTRIENT LIMITATION summarizes a portion of the eutrophication history of Chesapeake Bay, a large coastal plain estuary

  5. Load test of the 277W Building high bay roof deck and support structure

    SciTech Connect (OSTI)

    McCoy, R.M.

    1994-12-02T23:59:59.000Z

    The 277W Building high bay roof area was load tested according to the approved load-test procedure, WHC-SD-GN-TP-30015, Revision 1. The 277W Building is located in the 200 West Area of the Hanford Site and has the following characteristics: roof deck -- wood decking supported by 4 x 14 timber purlins; roof membrane -- tar and gravel; roof slope -- flat (<10 deg); and roof elevation -- maximum height of about 63 ft. The 227W Building was visited in March 1994 for a visual inspection. During this inspection, cracked areas were visible in the decking, but it was not possible to determine whether these cracks extended completely through the decking, which is 2-in. thick. The building was revisited in March 1994 for the purpose of writing this test report. Because the roof requires personnel access, a test was determined to be the best way to qualify the roof. The conclusions are that the roof has been qualified for 500-lb total roof load and that the ``No Roof Access`` signs can be changed to ``Roof Access Restricted`` signs.

  6. A study of the foraminifera and sediments of Matagorda Bay, Texas

    E-Print Network [OSTI]

    Shenton, Edward Heriot

    1957-01-01T23:59:59.000Z

    or no current activity in the Bay under normal conditions. However, wind tides up to 14 feet have been reported in Matagorda Bsy during the 1941 end 1942 hurricanes (Bsder, 1937). Stations No. 3O and 49 on the west side of the Bay are composed of sand...A STUDY OF THE FORAMINIFERA AND SEDIMENTS OF MATAGORDA BAY& TEXAS ahg C0 L ( /SF OP FF QS A Thesis By Edward Heriot Shenton Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfilhaent...

  7. Predicting the behavior of nearshore feeder berms in the vicinity of Morro Bay, California

    E-Print Network [OSTI]

    Simon, Peter Arthur

    2012-06-07T23:59:59.000Z

    ) & ~v la Offshore 6' O O J~ Length (m) Longshore (m) Figure 4. Morro Bay Dredged Material Disposal Mounds 2. slow the outflow of water so that sediment is not carried out past the point where natural wave action will return it to the beach. 3... California Pacific Ocean Morro Ba Los Angeles Figure 6. Morro Bay Location Map 00 0 0 v~ 0 MORRO ROOR DREDGED CHANNEL RS (R RS g g Rsa RS O RS ~R ?R RS ~O RS OO 8 Rs Rs ) ID A Rso Rs Rs Rs 0 RS RS MODELED AREA Figure 7. Morro Bay...

  8. A PRECISION MEASUREMENT OF THE NEUTRINO MIXING ANGLE THETA (SUB 13) USING REACTOR ANTINEUTRINOS AT DAYA BAY.

    SciTech Connect (OSTI)

    KETTELL, S.; ET AL.

    2006-10-16T23:59:59.000Z

    This document describes the design of the Daya Bay reactor neutrino experiment. Recent discoveries in neutrino physics have shown that the Standard Model of particle physics is incomplete. The observation of neutrino oscillations has unequivocally demonstrated that the masses of neutrinos are nonzero. The smallness of the neutrino masses (<2 eV) and the two surprisingly large mixing angles measured have thus far provided important clues and constraints to extensions of the Standard Model. The third mixing angle, {delta}{sub 13}, is small and has not yet been determined; the current experimental bound is sin{sup 2} 2{theta}{sub 13} < 0.17 at 90% confidence level (from Chooz) for {Delta}m{sub 31}{sup 2} = 2.5 x 10{sup -3} eV{sup 2}. It is important to measure this angle to provide further insight on how to extend the Standard Model. A precision measurement of sin{sup 2} 2{theta}{sub 13} using nuclear reactors has been recommended by the 2004 APS Multi-divisional Study on the Future of Neutrino Physics as well as a recent Neutrino Scientific Assessment Group (NUSAG) report. We propose to perform a precision measurement of this mixing angle by searching for the disappearance of electron antineutrinos from the nuclear reactor complex in Daya Bay, China. A reactor-based determination of sin{sup 2} 2{theta}{sub 13} will be vital in resolving the neutrino-mass hierarchy and future measurements of CP violation in the lepton sector because this technique cleanly separates {theta}{sub 13} from CP violation and effects of neutrino propagation in the earth. A reactor-based determination of sin{sup 2} 2{theta}{sub 13} will provide important, complementary information to that from long-baseline, accelerator-based experiments. The goal of the Daya Bay experiment is to reach a sensitivity of 0.01 or better in sin{sup 2} 2{theta}{sub 13} at 90% confidence level.

  9. Design and preliminary test results of Daya Bay RPC modules*

    SciTech Connect (OSTI)

    Hackenburg, R.

    2011-09-01T23:59:59.000Z

    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%.

  10. Search for a Light Sterile Neutrino at Daya Bay

    E-Print Network [OSTI]

    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

    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.

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

    SciTech Connect (OSTI)

    Wang, Taiping; Yang, Zhaoqing; Khangaonkar, Tarang

    2010-04-22T23:59:59.000Z

    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 Laboratory’s 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.

  12. Surface Currents and Winds at the Delaware Bay Mouth

    SciTech Connect (OSTI)

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

    2011-04-06T23:59:59.000Z

    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.

  13. Probing Non-Standard Interactions at Daya Bay

    E-Print Network [OSTI]

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

    2014-12-02T23:59:59.000Z

    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.

  14. CONFIRMATORY SURVEY OF THE FUEL OIL TANK AREA HUMBOLDT BAY POWER PLANT EUREKA, CALIFORNIA

    SciTech Connect (OSTI)

    WADE C. ADAMS

    2012-04-09T23:59:59.000Z

    During the period of February 14 to 15, 2012, ORISE performed radiological confirmatory survey activities for the former Fuel Oil Tank Area (FOTA) and additional radiological surveys of portions of the Humboldt Bay Power Plant site in Eureka, California. The radiological survey results demonstrate that residual surface soil contamination was not present significantly above background levels within the FOTA. Therefore, it is ORISE’s opinion that the radiological conditions for the FOTA surveyed by ORISE are commensurate with the site release criteria for final status surveys as specified in PG&E’s Characterization Survey Planning Worksheet. In addition, the confirmatory results indicated that the ORISE FOTA survey unit Cs-137 mean concentrations results compared favorably with the PG&E FOTA Cs-137 mean concentration results, as determined by ORISE from the PG&E characterization data. The interlaboratory comparison analyses of the three soil samples analyzed by PG&E’s onsite laboratory and the ORISE laboratory indicated good agreement for the sample results and provided confidence in the PG&E analytical procedures and final status survey soil sample data reporting.

  15. Determining Spatial and Temporal Inputs of Freshwater, Including Submarine Groundwater Discharge,

    E-Print Network [OSTI]

    Miami, University of

    of freshwater into the bay. A second model using Sr2+ /Ca2+ ratios was developed to discern fresh groundwater. Florida . Submarine groundwater discharge Introduction The timing and sources of freshwater deliveryDetermining Spatial and Temporal Inputs of Freshwater, Including Submarine Groundwater Discharge

  16. Age and growth of southern flounder (Paralichthys lethostigma) from Matagorda Bay, Texas

    E-Print Network [OSTI]

    Stunz, Gregory Wayne

    1995-01-01T23:59:59.000Z

    Estimates of age and growth of southern flounder (Paralichthys lethostigma) from Matagorda Bay, Texas were made by analyzing thin sections of otoliths (sagittae) from 892 specimens collected along the Texas coast from May 1992 to January 1995...

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

    E-Print Network [OSTI]

    Yanagihara, R.; Okagaki, A.

    2006-01-01T23:59:59.000Z

    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...

  18. Wind-wave measurements in a shallow estuary: Trinity Bay, Texas

    E-Print Network [OSTI]

    Dupuis, Keith Wade

    2009-05-15T23:59:59.000Z

    direction changes. The Shallow WAves Nearshore numerical model was implemented in a Galveston Bay (GB; encompassing TB) computational domain. The model was forced with wind speeds and directions measured on-site and in four surrounding locations maintained...

  19. Effect of variation in freshwater inflow on phytoplankton productivity and community composition in galveston bay, texas

    E-Print Network [OSTI]

    Thronson, Amanda Mae

    2009-05-15T23:59:59.000Z

    2050, water regulators and managers are faced with the challenge of meeting human needs, while maintaining essential freshwater inflows into estuarine ecosystems. Galveston Bay is of particular concern because 10 million people currently living within...

  20. Sedimentary environments and processes in a shallow, Gulf Coast Estuary-Lavaca Bay, Texas.

    E-Print Network [OSTI]

    Bronikowski, Jason Lee

    2004-11-15T23:59:59.000Z

    no bathymetric change until the introduction of the shipping channel. Processes that potentially lead to sediment transport and resuspension within the bay include wind driven wave resuspension, storm surges, wind driven blowouts, and river flooding...

  1. Cascading trophic interactions in a large, shallow sub-tropical estuary, Galveston Bay, Texas

    E-Print Network [OSTI]

    Lumsden, S. Elizabeth

    2002-01-01T23:59:59.000Z

    and zooplankton grazing rates across a variety of hydrographic environments in Galveston Bay. Three stations were selected to represent the range of hydrographic regimes and planktonic communities found in the estuary. Following bioassay incubations, water...

  2. DEVELOPING A METHOD TO MONITOR SEDIMENTATION PROCESSES IN MAYAGEZ BAY USING MODIS DATA

    E-Print Network [OSTI]

    Gilbes, Fernando

    b d 1 & 2) October 26, 2005 Close up of the Bay (c) (MODIS band 1 & 2) y = 452.41x + 2.9603 R 2 = 0.7232

  3. Increase in the Intensity of Postmonsoon Bay of Bengal Tropical Cyclones

    SciTech Connect (OSTI)

    Balaguru, Karthik; Taraphdar, Sourav; Leung, Lai-Yung R.; Foltz, Gregory R.

    2014-05-28T23:59:59.000Z

    The post-monsoon (October-November) tropical cyclone (TC) season in the Bay of Bengal has spawned many of the deadliest storms in recorded history. Here it is shown that the intensity of post-monsoon Bay of Bengal TCs, and the contribution of major TCs to total TC power, increased during 1981-2010. It is found that changes in environmental parameters are responsible for the observed increases in TC intensity. Increases in sea surface temperature and upper ocean heat content made the ocean more conducive to TC development, while enhanced convective instability made the atmosphere more favorable for the growth of TCs. The largest changes in the atmosphere and ocean occurred in the eastern Bay of Bengal, where nearly all major TCs form. These changes are part of positive linear trends, suggesting that the intensity of post-monsoon Bay of Bengal TCs may continue to increase in the future.

  4. Tidal response of a bay with a constricted opening to the sea

    E-Print Network [OSTI]

    Love, Robert Wesley

    1959-01-01T23:59:59.000Z

    Fundamental response of bay for a'L = . 01, H/ho & 1 Fundamental response of bay for o'L = . 1, H/h & . 1 . Fundamental response of bay for crL =, 5, H/h & . 1 . 31 33 I Response factor of a /H for ctL =, 01, H/h as 0 indicated, 10 Response factor of a... -& . 06 . 04 3. H/h = . 1 H/h = . 05 H/ho = . 01 . 02 0 . 1 . 5 1 2 10 20 Bay Parameter, N 50 100 200 Pig. 10: Respoase Factor of a2/H for cL = 0. 1, H/h as isdicatetl. . 08 x . Oe H [ . 04 cd H/h H/ho = . 05 H/h = . 01 0 . 02 . 5 1 2...

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

    E-Print Network [OSTI]

    Lund, Jay R.

    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

  6. Chesapeake Bay Eutrophication: Scientific Understanding, Ecosystem Restoration, and Challenges for Agriculture

    E-Print Network [OSTI]

    Chesapeake Bay Eutrophication: Scientific Understanding, Ecosystem Restoration, and Challenges'scultural eutrophication and extensive efforts to reduce nutrient inputs. In 1987 a commitment was made to reduce of eutrophication were incompletely known. research, policies, and concerted management action Subsequent research

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (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...

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

    E-Print Network [OSTI]

    McFadden, Cynthia Joy

    2004-09-30T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Knowles, Noah

    2010-01-01T23:59:59.000Z

    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 1950–2000 period.

  10. An Urban Estuary in a Changing World: Diversity, Invasions, and Climate Change in San Francisco Bay

    E-Print Network [OSTI]

    Chang, Andrew L.

    2009-01-01T23:59:59.000Z

    33: 1–67. ????. 2006. Water Quality of San Francisco Bay.within and among shallow- water Ciona species (Ascidiacea).induced changes in estuarine water quality. Marine Ecology

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

    E-Print Network [OSTI]

    Palmer, Margaret A.

    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

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

    E-Print Network [OSTI]

    Liu, Ricky Pei-Shen

    1986-01-01T23:59:59.000Z

    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 ...

  13. Long-Term Testing and Properties of Acrylic for the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    Krohn, M; Heeger, K M

    2012-01-01T23:59:59.000Z

    The Daya Bay reactor antineutrino experiment has recently measured the neutrino mixing parameter sin22{\\theta}13 by observing electron antineutrino disappearance over kilometer-scale baselines using six antineutrino detectors at near and far distances from reactor cores at the Daya Bay nuclear power complex. Liquid scintillator contained in transparent target vessels is used to detect electron antineutrinos via the inverse beta-decay reaction. The Daya Bay experiment will operate for about five years yielding a precision measurement of sin22{\\theta}13. We report on long-term studies of poly(methyl methacrylate) known as acrylic, which is the primary material used in the fabrication of the target vessels for the experiment's antineutrino detectors. In these studies, acrylic samples are subjected to gaseous and liquid environmental conditions similar to those experienced during construction, transport, and operation of the Daya Bay acrylic target vessels and detectors. Mechanical and optical stability of the ac...

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

    E-Print Network [OSTI]

    Hawley, Patrick Emmett

    1994-01-01T23:59:59.000Z

    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...

  15. 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.

  16. 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

  17. A Rapid Assessment Method Examining the Ecological Health of Tidal Marine Wetlands in Galveston Bay, Texas

    E-Print Network [OSTI]

    Staszak, Lindsey Ann

    2011-10-21T23:59:59.000Z

    Galveston Bay, and then grouped those measurements into four functional groups: landscape/site characteristics, hydrology, wildlife habitat, and soil characteristics. I then developed a scoring system (minimum 0, maximum 100) to summarize the overall health...

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

    E-Print Network [OSTI]

    Horbaczewski, Adam Michael

    2008-08-19T23:59:59.000Z

    . 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...

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

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the voltage-sensitive L-type channel agonist Bay K 8644 at 0.1, 1, and 10 m... for RIA in single. All chemicals, except for ... Source: Kalil, Ronald E. - Neuroscience...

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

    E-Print Network [OSTI]

    Mahmoud, Joey

    1996-01-01T23:59:59.000Z

    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...

  1. Atmospheric influences on Gulf Stream fluctuations off Onslow Bay, North Carolina

    E-Print Network [OSTI]

    Cohen, Robert Lester

    1981-01-01T23:59:59.000Z

    . Brooks The subtidal frequency response of currents to the wind stress and wind stress curl and divergence in the coastal region off Onslow Bay, North Carolina was investigated for two 4-month mooring periods: January-May, 1979 and August...ATMOSPHERIC INFLUENCES ON GULF STREAM FLUCTUATIONS OFF ONSLOW BAY, NORTH CAROLINA A Thesis by ROBERT LESTER COHEN Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER...

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

    E-Print Network [OSTI]

    Ling, Charles X.

    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

  3. Sport fishery management in East Matagorda Bay (Texas): an analysis of decision making

    E-Print Network [OSTI]

    Ritter, Mary Christine

    1991-01-01T23:59:59.000Z

    SPORT FISHERY MANAGEMENT IN EAST MATAGORDA BAY (TEXAS) AN ANALYSIS OP DECISION MARING A Thesis by MARY CHRISTINE RITTER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE May 1991 Major Subject: Wildlife and Fisheries Sciences SPORT FISHERY MANAGEMENT IN EAST WLTAGORDA BAY (TEXAS): AN ANALYSIS OF DECISION lQLKING A Thesis by Mary Christine Ritter Approved as to style and content by...

  4. DRAFT RICHMOND BAY CAMPUS LRDP | August 2013 Appendix 1: Existing Richmond Field Station Building Inventory (2012)

    E-Print Network [OSTI]

    Lee, Jason R.

    2012-01-01T23:59:59.000Z

    in the fore- ground and the San Francisco Bay and Marina Bay residen- tial community beyond. #12;A.2 DRAFT Research Ofc 1960-1969 16,949 12 Poor 113 Storage 1980-1989 1,800 14 Good 114 Storage pre 1940 4,523 12 Good 120 Storage unknown 269 12 Good 121 Storage unknown 728 15 Good 125 Storage pre 1940 1,024 12 Good

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

    SciTech Connect (OSTI)

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

    2011-07-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2014-09-01T23:59:59.000Z

    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%.

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

    SciTech Connect (OSTI)

    Moser, Lee, Justin

    2009-06-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Presser, Theresa S.; Luoma, Samuel N.

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Frick, Karen Trapenberg

    2008-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Presser, Theresa S.; Luoma, Samuel N.

    2013-01-01T23:59:59.000Z

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

  11. HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT

    SciTech Connect (OSTI)

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

    2012-12-30T23:59:59.000Z

    Sea Lion applied for and received a grant from the Department of Energy (DOE) towards this end titled â??Energy Efficiency Development and Deployment in Indian Countryâ?ť. 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.

  12. Modern technology in an old area - Bay Marchand field revisited

    SciTech Connect (OSTI)

    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

    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.

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Honkela, Antti

    , 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

  15. 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

  16. 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

  17. Field study of an unconfined dredge spoil disposal area in Galveston Bay, Texas

    E-Print Network [OSTI]

    Bassi, David Edward

    1973-01-01T23:59:59.000Z

    rainfall, such as follows one of the seasonal hurri- canes, but these effects are short lived and likely exert less influ- ence on the sediments and hydrology of the bay than the winds and 24 waves associated with such storms. Realizing this property...FIELD STUDY OF AN UNCONFINED DREDGE SPOIL DISPOSAL AREA IN GALVESTON BAY, TEXAS A Thesis by DAUID EDWARD BASSI Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER...

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

    E-Print Network [OSTI]

    Stahl, Ralph Garner

    1980-01-01T23:59:59.000Z

    PGLYCKQBINATH3 BIPHEtKLS IN hATER, S~~BKtlT KiD SEIZCTED QRGMJIB&% OF VPAIGN BAY, ~z. ENVIEG~ I~S KG BIOACC21ULATIGN. A Thesis by RALPH ~ STARE'r ~i'tted to the Graduate College of TQMs ASH University in partial fulfillment of the requirement... for the degree of MAS~~ QF SCIENCE Play 1980 Major Subject: Biology POLYCHLORINATED BIPHENYLS IN WATER, SEDIMENT AND SELECTED ORGANISMS OF GALVESTON BAY, TEXAS. ENVIRONMENTAL LEVELS AND BIOACCUMULATION A Thesis RALPH GARNER STAHL, JR. Approved...

  19. Hydrographic and ecological studies in Mesquite Bay and Cedar Bayou, Texas

    E-Print Network [OSTI]

    Hoese, Hinton Dickson

    1959-01-01T23:59:59.000Z

    is fresh- ening with southerly winds the salinity differential is small~ in tvo cases 2 o/oo& possibly because tbe upper bay receives the iraaediate effeot of river discharge, In ccatrast~ shen winds are northerly the differential is greater (Msi 6, 7... emcee found~ except for the hurricane periods was 0, 6 o/oo during a strong south wind Such a shallow bay as this would not, be expected to strat ify appreciably due to the frequency of winds and the shaLlow depth~ Correlations with River Discharge...

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

    SciTech Connect (OSTI)

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

    2011-11-01T23:59:59.000Z

    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.

  1. Littoral processes and sediments of the inner continental shelf of the southern bay of Campeche

    E-Print Network [OSTI]

    Yanez, Amado

    1968-01-01T23:59:59.000Z

    LITTORAL PROCESSES AND SEDIMEN' S OF THE INNER CONTINENTAL SHELF OF THE SOUTHERN BAY OF CAMPECHE A Thesis By Amado Yanez Submitted to the Graduate College of the Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE May 1968 Major Subject: Geological Oceanograpny LITTOBAL PPOCESS ~ S AMD SEDIMENTS OF THE INNER CONTINENTAL SHELF OF THE SOUTHERN BAY OF CK41PL'CHE A Thesis Amado Yanez Approved as to style and content by (Chairman o f Committee...

  2. The distribution and diurnal variation of phosphorus in some Texas bays

    E-Print Network [OSTI]

    Bruce, Herbert Ernest

    1959-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    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...

  4. Ann bay lodyans 5 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 5 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 5 / se Bryant...

  5. Ann bay lodyans 15 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 15 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 15 / se Bryant...

  6. Ann bay lodyans 6 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 6 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 6 / se Bryant...

  7. Ann bay lodyans 3 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 3 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 3 / se Bryant...

  8. Ann bay lodyans 16 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 16 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 16 / se Bryant...

  9. Ann bay lodyans 1 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 1 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 / se Bryant...

  10. CX-004353: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alaska-Tribe-Nanwalek (Also Known As English Bay)CX(s) Applied: A9, A11Date: 11/03/2010Location(s): Nanwalek, AlaskaOffice(s): Energy Efficiency and Renewable Energy

  11. CX-005035: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wisconsin BRAIN Program - Kwik TripCX(s) Applied: B5.1Date: 01/12/2010Location(s): Green Bay, WisconsinOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  12. CX-005555: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    TidGen Power System Commercialization ProjectCX(s) Applied: A9Date: 04/05/2011Location(s): Cobscook Bay, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  13. CX-012000: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hatwai Substation Bay 4 Equipment Acquisition CX(s) Applied: B1.24 Date: 04/22/2014 Location(s): Idaho Offices(s): Bonneville Power Administration

  14. CX-000104: Categorical Exclusion Determination

    Broader source: Energy.gov [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

  15. Progress in Decommissioning the Humboldt Bay Power Plant - 13604

    SciTech Connect (OSTI)

    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

    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)

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

    Broader source: Energy.gov [DOE]

    This EIS analyzes BPA's proposed action 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.

  17. Department of Mechanical Engineering Spring 2013 Lumax Lighting 2: LED Industrial High Bay Light Fixture

    E-Print Network [OSTI]

    Demirel, Melik C.

    PENNSTATE Department of Mechanical Engineering Spring 2013 Lumax Lighting 2: LED Industrial High Bay Light Fixture Overview The problem that our sponsor, Rich Taylor, presented to the team was to design a light fixture for an industrial setting using high power LED lights. The challenge

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

    Broader source: Energy.gov [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.

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

    E-Print Network [OSTI]

    Baca, Michael William

    1998-01-01T23:59:59.000Z

    A numerical, three-dimensional coastal ocean model was ics. used to study the circulation and subsequent mixing of Cobscook Bay by the lunar semi-diurnal tide. The results showed strong ebbing and flooding currents along a main channel connected...

  20. 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

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

    E-Print Network [OSTI]

    Wilson, Carolyn E.

    2010-10-12T23:59:59.000Z

    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...

  2. A Meta-analysis of Mercury Levels in Lavaca Bay Texas

    E-Print Network [OSTI]

    Pillado, Maria C.

    2014-05-07T23:59:59.000Z

    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 ...

  3. 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

  4. atural aquatic habitats include ponds, lakes, rivers, streams, springs, estuaries, bays, and

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    from small (ten surface acres) to large (the Great Lakes: Erie, Michigan, Huron, Ontario, and SuperiorN atural aquatic habitats include ponds, lakes, rivers, streams, springs, estuaries, bays little oxygen. Aquatic habitats can be classified as: · non-flowing waters like lakes and ponds, · slowly

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

    E-Print Network [OSTI]

    Boss, Emmanuel S.

    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

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

    E-Print Network [OSTI]

    Chen, Changsheng

    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

  7. The Association of Virulent Vibrio Spp. Bacteria on Gafftopsail and Hardhead Catfish in Galveston Bay

    E-Print Network [OSTI]

    Gilbert, Leslie Deanne

    2011-10-21T23:59:59.000Z

    ................... 21 II. 5. Distribution of V. parahaemolyticus tlh by A) fish length, B) sub-bay, and C) species of fish ................................................................................ 26 II. 6. Correlation of V. parahaemolyticus tlh... comparison .................................................... 19 II. 4. Kolmogorov-Smirnov results for V. vulnifiucs .......................................... 21 II. 5. ANOVA results for quantity of V. vulnifiucs versus length of fish...

  8. Geochemical responses in peat groundwater over Attawapiskat kimberlites, James Bay Lowlands, Canada and their application to

    E-Print Network [OSTI]

    Geochemical responses in peat groundwater over Attawapiskat kimberlites, James Bay Lowlands, Canada.sader@mmg.com) ABSTRACT: Peat groundwater compositions at depths of 0.4 and 1.1 m below ground surface in the Attawapiskat on hydrogeological measurements and variations in peat groundwater geochemical parameters (pH and EC are high

  9. Geochemistry of peat over kimberlites in the Attawapiskat area, James Bay Lowlands, northern Canada

    E-Print Network [OSTI]

    Geochemistry of peat over kimberlites in the Attawapiskat area, James Bay Lowlands, northern Canada by peatlands. Peat samples were examined in the Attawapiskat area, a region of discontinuous permafrost, where more than 19 kimberlite pipes have been found beneath a cover of peat (2­4 m thick) and Quaternary

  10. NEAR-SURFACE HYDROLOGIC RESPONSE FOR A STEEP, UNCHANNELED CATCHMENT NEAR COOS BAY, OREGON: 2.

    E-Print Network [OSTI]

    Montgomery, David R.

    con- trolled sprinkling experiments at the Coos Bay 1 (CB1) experimental catchment in the Oregon Coast indicate that the 3D geometry and hydraulic characteris- tics of the layered geologic interfaces at CB1 can-rock hydraulic properties that preclude accurate fracture flow representation. Sensitivity analyses for the CB1

  11. Age of Pre-late-Wisconsin Glacial-Estuarine Sedimentation, Bristol Bay, Alaska

    E-Print Network [OSTI]

    IngĂłlfsson, Ă?lafur

    stimu- lated and thermoluminescence (IRSL and TL) techniques. Analy- sis of modern and 14 C-dated of northeastern Bristol Bay, southwestern Alaska, was dated using a variety of approaches, including infrared techniques. IRSL seems to be especially well suited for dating, with resolution on time scales of

  12. 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

  13. 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

  14. Growth and metal uptake of microalgae produced using salt groundwaters from the Bay of Bourgneuf

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Growth and metal uptake of microalgae produced using salt groundwaters from the Bay of Bourgneuf production of microalgae. Salt groundwaters, available in this region, support a large part of four microalgae grown in two salt groundwaters or in enriched coastal seawater. Cultures of microalgae

  15. 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

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

    E-Print Network [OSTI]

    Scott, Elizabeth A.

    2012-06-07T23:59:59.000Z

    . . . 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...

  17. 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

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

    E-Print Network [OSTI]

    Boyer, Edmond

    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

  19. Long-Term Testing and Properties of Acrylic for the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    M. Krohn; B. R. Littlejohn; K. M. Heeger

    2012-06-09T23:59:59.000Z

    The Daya Bay reactor antineutrino experiment has recently measured the neutrino mixing parameter sin22{\\theta}13 by observing electron antineutrino disappearance over kilometer-scale baselines using six antineutrino detectors at near and far distances from reactor cores at the Daya Bay nuclear power complex. Liquid scintillator contained in transparent target vessels is used to detect electron antineutrinos via the inverse beta-decay reaction. The Daya Bay experiment will operate for about five years yielding a precision measurement of sin22{\\theta}13. We report on long-term studies of poly(methyl methacrylate) known as acrylic, which is the primary material used in the fabrication of the target vessels for the experiment's antineutrino detectors. In these studies, acrylic samples are subjected to gaseous and liquid environmental conditions similar to those experienced during construction, transport, and operation of the Daya Bay acrylic target vessels and detectors. Mechanical and optical stability of the acrylic as well as its interaction with detector liquids is reported.

  20. Empirical Bayes for Learning to Learn Tom Heskes tom@mbfys.kun.nl

    E-Print Network [OSTI]

    Heskes, Tom

    mul­ titask learning, linking theoretical results to practical simulations. In our model all tasksEmpirical Bayes for Learning to Learn Tom Heskes tom@mbfys.kun.nl SNN, University of Nijmegen are combined in a single feedforward neu­ ral network. Learning is implemented in a Bayesian fashion

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

    E-Print Network [OSTI]

    Jiann, Kuo-Tung

    1993-01-01T23:59:59.000Z

    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...

  2. 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

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

    E-Print Network [OSTI]

    Boyer, Edmond

    SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR Mads@ramboll.com ABSTRACT It is investigated if material based structural safety can be replaced with safety obtained from of the NREL 5MW wind turbine tower subjected to bending fatigue and horizontal circumferential cracking

  4. NOAA Technical Memorandum ERL GLERL-33 CATEGORIZATION OF NORTHERN GREEN BAY ICE COVER

    E-Print Network [OSTI]

    NOAA Technical Memorandum ERL GLERL-33 CATEGORIZATION OF NORTHERN GREEN BAY ICE COVER USING LANDSAT the group means for snow- covered ice (group 15). 4. Comparison of LANDSAT 1 band 4 and band 7 to illustrate the influence of water on the tone of ice cover. 5. Mean digital counts of training sets--bands 4, 5, 6, and 7

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

    E-Print Network [OSTI]

    Oakley, Jeremy

    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

  6. Reducing methylmercury accumulation in the food webs of San Francisco Bay and its local watersheds

    SciTech Connect (OSTI)

    Davis, J.A., E-mail: jay@sfei.org [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Looker, R.E. [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States)] [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States); Yee, D. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Marvin-Di Pasquale, M. [U.S. Geological Survey, Water Resources Division/MS 480, 345 Middlefield Road, Menlo Park, CA 94025 (United States)] [U.S. Geological Survey, Water Resources Division/MS 480, 345 Middlefield Road, Menlo Park, CA 94025 (United States); Grenier, J.L. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Austin, C.M. [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States)] [San Francisco Bay Regional Water Quality Control Board, 1515 Clay Street, Suite 1400, Oakland, CA 94612 (United States); McKee, L.J.; Greenfield, B.K. [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States)] [San Francisco Estuary Institute, 4911 Central Avenue, Richmond, CA 94804 (United States); Brodberg, R. [California Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812 (United States)] [California Office of Environmental Health Hazard Assessment, California Environmental Protection Agency, 1001 I Street, Sacramento, CA 95812 (United States); Blum, J.D. [Department of Geological Sciences, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109 (United States)] [Department of Geological Sciences, University of Michigan, 1100 North University Avenue, Ann Arbor, MI 48109 (United States)

    2012-11-15T23:59:59.000Z

    San Francisco Bay (California, USA) and its local watersheds present an interesting case study in estuarine mercury (Hg) contamination. This review focuses on the most promising avenues for attempting to reduce methylmercury (MeHg) contamination in Bay Area aquatic food webs and identifying the scientific information that is most urgently needed to support these efforts. Concern for human exposure to MeHg in the region has led to advisories for consumption of sport fish. Striped bass from the Bay have the highest average Hg concentration measured for this species in USA estuaries, and this degree of contamination has been constant for the past 40 years. Similarly, largemouth bass in some Bay Area reservoirs have some of the highest Hg concentrations observed in the entire US. Bay Area wildlife, particularly birds, face potential impacts to reproduction based on Hg concentrations in the tissues of several Bay species. Source control of Hg is one of the primary possible approaches for reducing MeHg accumulation in Bay Area aquatic food webs. Recent findings (particularly Hg isotope measurements) indicate that the decades-long residence time of particle-associated Hg in the Bay is sufficient to allow significant conversion of even the insoluble forms of Hg into MeHg. Past inputs have been thoroughly mixed throughout this shallow and dynamic estuary. The large pool of Hg already present in the ecosystem dominates the fraction converted to MeHg and accumulating in the food web. Consequently, decreasing external Hg inputs can be expected to reduce MeHg in the food web, but it will likely take many decades to centuries before those reductions are achieved. Extensive efforts to reduce loads from the largest Hg mining source (the historic New Almaden mining district) are underway. Hg is spread widely across the urban landscape, but there are a number of key sources, source areas, and pathways that provide opportunities to capture larger quantities of Hg and reduce loads from urban runoff. Atmospheric deposition is a lower priority for source control in the Bay Area due to a combination of a lack of major local sources. Internal net production of MeHg is the dominant source of MeHg that enters the food web. Controlling internal net production is the second primary management approach, and has the potential to reduce food web MeHg in some habitats more effectively and within a much shorter time-frame. Controlling net MeHg production and accumulation in the food web of upstream reservoirs and ponds is very promising due to the many features of these ecosystems that can be manipulated. The most feasible control options in tidal marshes relate to the design of flow patterns and subhabitats in restoration projects. Options for controlling MeHg production in open Bay habitat are limited due primarily to the highly dispersed distribution of Hg throughout the ecosystem. Other changes in these habitats may also have a large influence on food web MeHg, including temperature changes due to global warming, sea level rise, food web alterations due to introduced species and other causes, and changes in sediment supply. Other options for reducing or mitigating exposure and risk include controlling bioaccumulation, cleanup of contaminated sites, and reducing other factors (e.g., habitat availability) that limit at-risk wildlife populations.

  7. Targeting Net Zero Energy at Marine Corps Base Hawaii, Kaneohe Bay: Preprint

    SciTech Connect (OSTI)

    Burman, K.; Kandt, A.; Lisell, L.; Booth, S.

    2012-05-01T23:59:59.000Z

    This paper summarizes the results of an NREL assessment of Marine Corps Base Hawaii (MCBH), Kaneohe Bay to appraise the potential of achieving net zero energy status through energy efficiency, renewable energy, and hydrogen vehicle integration. In 2008, the U.S. Department of Defense's U.S. Pacific Command partnered with the U.S. Department of Energy's (DOE's) National Renewable Energy Laboratory (NREL) to assess opportunities for increasing energy security through renewable energy and energy efficiency at Hawaii military installations. DOE 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 hydrogen vehicle integration. This paper summarizes the results of the assessment and provides energy recommendations. The analysis shows that MCBH Kaneohe Bay has the potential to make significant progress toward becoming a net zero installation. Wind, solar photovoltaics, solar hot water, and hydrogen production were assessed, as well as energy efficiency technologies. Deploying wind turbines is the most cost-effective energy production measure. If the identified energy projects and savings measures are implemented, the base will achieve a 96% site Btu reduction and a 99% source Btu reduction. Using excess wind and solar energy to produce hydrogen for a fleet and fuel cells could significantly reduce energy use and potentially bring MCBH Kaneohe Bay to net zero. Further analysis with an environmental impact and interconnection study will need to be completed. By achieving net zero status, the base will set an example for other military installations, provide environmental benefits, reduce costs, increase energy security, and exceed its energy goals and mandates.

  8. Lagrangian transport in a microtidal coastal area: the Bay of Palma, island of Mallorca, Spain

    E-Print Network [OSTI]

    Ismael Hernández-Carrasco; Cristóbal López; Alejandro Orfila; Emilio Hernández-García

    2013-11-05T23:59:59.000Z

    Coastal transport in the Bay of Palma, a small region in the island of Mallorca, Spain, is characterized in terms of Lagrangian descriptors. The data sets used for this study are the output for two months (one in autumn and one in summer) of a high resolution numerical model, ROMS, forced atmospherically and with a spatial resolution of 300 m. The two months were selected because its different wind regime, which is the main driver of the sea dynamics in this area. Finite-size Lyapunov Exponents (FSLEs) were used to locate semi-persistent Lagrangian coherent structures (LCS) and to understand the different flow regimes in the Bay. The different wind directions and regularity in the two months have a clear impact on the surface Bay dynamics, whereas only topographic features appear clearly in the bottom structures. The fluid interchange between the Bay and the open ocean was tudied by computing particle trajectories and Residence Times (RT) maps. The escape rate of particles out of the Bay is qualitatively different, with a 32$%$ more of escape rate of particles to the ocean in October than in July, owing to the different geometric characteristics of the flow. We show that LCSs separate regions with different transport properties by displaying spatial distributions of residence times on synoptic Lagrangian maps together with the location of the LCSs. Correlations between the time-dependent behavior of FSLE and RT are also investigated, showing a negative dependence when the stirring characterized by FSLE values moves particles in the direction of escape.

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

    SciTech Connect (OSTI)

    Barton, Christopher

    2006-07-13T23:59:59.000Z

    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.

  10. CX-000220: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Office Energy Efficiency and Conservation Block Grant for: Building Systems Controls Automation: Hall of Justice & S. Bay Regional Center, 2008 Building Energy Efficiency Standards...

  11. CX-000602: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    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...

  12. CX-004007: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    (commercial and industrial businesses), 8) installation and replacement of light-emitting diode fixtures at the Bay Area Rapid Transit (BART) Station as a demonstration...

  13. CX-003000: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    to residential properties in the Native Village of Chenega Bay, Alaska. These transformer upgrades will provide uninterrupted electrical power to twenty-three existing...

  14. 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]

    Woods, Gregory

    2010-01-01T23:59:59.000Z

    ??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)

  15. Field Investigation to Determine the Extent of Sediment Recontamination at the United Heckathorn Superfund Site, Richmond, California

    SciTech Connect (OSTI)

    Kohn, Nancy P.; Gilmore, Tyler J.

    2001-11-16T23:59:59.000Z

    This field investigation was undertaken to determine the present condition of sediment in Lauritzen Channel and Parr Canal approximately 2 years after completion of sediment remedial actions at the United Heckathorn Superfund site. The study was designed to supplement the post-remediation monitoring program by determining the extent and identifying potential sources of observed pesticide contamination in marine sediments near the site. Core samples collected from Lauritzen Channel and Parr Canal in July 1999 were described geologically, and samples were prepared from different sediment types, such as younger bay mud or older bay mud. Sediment samples were analyzed for grain size, organic carbon, and DDT compounds. Only minor changes have occurred in Parr Canal since remedial actions were taken in 1996-1997, but in Lauritzen Channel, DDT concentrations exceed the remedial goal of 590 ug/kg dry weight in nearly all the unconsolidated sediment (younger bay mud, sand, and disturbed older bay mud). The source of contaminated sediment could not be confirmed by this study; there was no clear correlation between high DDT concentrations and sediment remaining between the pilings, as was originally suspected. There also was no correlation between high DDT concentrations in sediment and the locations of outfalls, although some of the contamination retained by the creosote-treated wood appeared to be highest close to the known outfalls.

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

    SciTech Connect (OSTI)

    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

    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.

  17. Distribution, condition, and growth of newly settled southern flounder (Paralichthys lethostigma) in the Galveston Bay Estuary, TX

    E-Print Network [OSTI]

    Glass, Lindsay Ann

    2006-08-16T23:59:59.000Z

    efforts. I used biochemical condition and growth measurements in conjunction with catch-density data to evaluate settlement sites used by southern flounder in the Galveston Bay Estuary (GBE). In 2005, beam-trawl collections were made in three major...

  18. Comparison of benthic macroinvertebrate assemblages associated with salt marshes in low and high salinity areas of Galveston Bay

    E-Print Network [OSTI]

    Pool, Suzan Samantha

    1999-01-01T23:59:59.000Z

    Two study areas in Galveston Bay, Texas were chosen to assess the species composition and abundance of benthic macroinvertebrates in salt marshes that are utilized by juvenile brown shrimp. The objectives of the study were to compare the benthic...

  19. Cultural contributions to the island of St. John, United States Virgin Islands: underwater historical archaeology at Cruz Bay

    E-Print Network [OSTI]

    Marquez, Carmen M

    1995-01-01T23:59:59.000Z

    the seventeenth century, the French, English and Dutch contested the Virgin Islands, realizing their strategic and commercial importance, and Denmark attempted to settle St. Thomas in 1672. The first permanent Danish colony was established in 1717 at Coral Bay...

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

    E-Print Network [OSTI]

    McCreery, Helen F

    2007-01-01T23:59:59.000Z

    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 ...

  1. The readers point vessel: hull analysis of an eighteenth century merchant sloop excavated in St. Ann's Bay, Jamaica

    E-Print Network [OSTI]

    Cook, Gregory D.

    1997-01-01T23:59:59.000Z

    's Bay, Jamaica in 1994. Excavators removed overburden and the ballast pile, recovering over 600 artifacts associated with the vessel-After exposing well-preserved hull remains, divers recorded the ship's structure. The vessel is preserved from the base...

  2. Engaging Regions in Globalization: The Rise of the Economic Relationship between the San Francisco Bay Area and China

    E-Print Network [OSTI]

    Volberding, Peter

    2011-01-01T23:59:59.000Z

    vitality. Globalization and the Region The world economy,Bay Area economy has achieved a high level of globalizationglobalization, notes that the expansion and specialization of the global economy

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

    E-Print Network [OSTI]

    Pettijohn, Burkely Ashton

    2014-02-10T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Hyatt, Jason

    2006-01-01T23:59:59.000Z

    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 ...

  5. A study of the Texas hard clam: distribution and growth of Mercenaria mercenaria texana in Texas bays

    E-Print Network [OSTI]

    Craig, M. Alison

    1985-01-01T23:59:59.000Z

    A STUDY OF THE TEXAS HARD CLAM: DISTRIBUTION AND GROWTH OF MERCENARIA MERCENARIA TEXANA IN TEXAS BAYS A Thesis by MARGARET ALISON CRAIG Submitted to the Graduate College of Texas A6M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 1985 Major Subject: Oceanography A STUDY OF THE TEXAS HARD CLAN: DISTRIBUTION AND GROWTH OF NERCENARIA NERCENARIA TEXANA IN TEXAS BAYS? A Thesis by MARGARET ALISON CRAIG Approved as to style and content by...

  6. A simulation model of brown shrimp (Penaeus aztecus Ives) growth, movement, and survival in Galveston Bay, Texas

    E-Print Network [OSTI]

    George, Leroy Conrad

    1981-01-01T23:59:59.000Z

    . Factors likely affecting recruitment of postlarval brown shrimp from the Gulf to the estuaries and bays include seasonality, water movement, and water temperature. In the model, recruitment is represented explicitly by wind conditions and water... of shrimp emigrating from the bays to the Gulf of Mexico. Environmental Submodels Three environmental conditons, water temperature, wind direction, and wind velocity were found to be significant in describing recruitment, growth, and natural mortality...

  7. Occurrence, movements, and behavior of bottlenose dolphins (Tursiops truncatus) in association with the shrimp fishery in Galveston Bay, Texas

    E-Print Network [OSTI]

    Fertl, Dagmar Catherine

    1994-01-01T23:59:59.000Z

    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...

  8. Fish condition as an indicator of water quality in upper Galveston Bay system, Texas

    E-Print Network [OSTI]

    Matlock, Gary C

    1972-01-01T23:59:59.000Z

    : (Chairman of Committee) (Efead of Department) L-- ( Nle n ) b l) Annnst 1972 'LBSTMC T 1-'ish C!l!!di tion a in lnclicator of V/ater Guality in Ifpper GalvosLon Bay Syste!n, Telcas, (!&:, !gust 1972) Gary Car! . on hiatlock, B. A. , Uniuerst&qr of Te...!cas at Austin Dli-ecto!1 by: Dr. K!rk Stravim Tho Fnvironmcntal Prot" ctioil I)cjo!icy has; ':pr, !s!Sd coi!c. em thait "h! e v/aLer quality of Tr in! ty Bay viou lc bo elect!! ?Ocl a:!! Cs u It of !ious on Lightir g Llr!d Povi r Cornpu, ly's Cedar. )Baton...

  9. Mechanisms of shoreline erosion in a back-bay environment, Cape Carancahua, Texas

    E-Print Network [OSTI]

    Ansari, Ramin

    1995-01-01T23:59:59.000Z

    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...

  10. The mass production and quality control of RPCs for the Daya Bay Experiment

    SciTech Connect (OSTI)

    Hackenburg R.

    2011-03-30T23:59:59.000Z

    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.

  11. EIS-0515: Bay Delta Conservation Plan, Sacramento-San Joaquin Delta, California

    Broader source: Energy.gov [DOE]

    The Bureau of Reclamation, U.S. Fish and Wildlife Service, National Marine Fisheries Service, and California Department of Water Resources are jointly preparing an EIS/Environmental Impact Report that analyzes the potential environmental impacts of the proposed Bay Delta Conservation Plan for restoring and protecting water supply reliability, water quality, and ecosystem health. DOE’s Western Area Power Administration is a cooperating agency. Additional information is available at http://baydeltaconservationplan.com/Home.aspx.

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

    E-Print Network [OSTI]

    Han, Seunghee

    2005-02-17T23:59:59.000Z

    concentration ratio of glutathione to mercury (~1000) in seawater. Review of Metal Speciation Studies Traditionally, two different voltammetric methods have been actively studied for copper complexation: differential pulse anodic stripping voltammetry... 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...

  13. Observations of Fallout from the Fukushima Reactor Accident in San Francisco Bay Area Rainwater

    E-Print Network [OSTI]

    Eric B. Norman; Christopher T. Angell; Perry A. Chodash

    2011-03-30T23:59:59.000Z

    We have observed fallout from the recent Fukushima Dai-ichi reactor accident in samples of rainwater collected in the San Francisco Bay area. Gamma ray spectra measured from these samples show clear evidence of fission products - 131,132I, 132Te, and 134,137Cs. The activity levels we have measured for these isotopes are very low and pose no health risk to the public.

  14. Data processing and storage in the Daya Bay Reactor Antineutrino Experiment

    E-Print Network [OSTI]

    He, Miao

    2015-01-01T23:59:59.000Z

    The Daya Bay Reactor Antineutrino Experiment reported the first observation of the non-zero neutrino mixing angle $\\theta_{13}$ using the first 55 days of data. It has also provided the most precise measurement of $\\theta_{13}$ with the extended data to 621 days. Daya Bay will keep running for another 3 years or so. There is about 100 TB raw data produced per year, as well as several copies of reconstruction data with similar volume to the raw data for each copy. The raw data is transferred to Daya Bay onsite and two offsite clusters: IHEP in Beijing and LBNL in California, with a short latency. There is quasi-real-time data processing at both onsite and offsite clusters, for the purpose of data quality monitoring, detector calibration and preliminary data analyses. The physics data production took place a couple of times per year according to the physics analysis plan. This paper will introduce the data movement and storage, data processing and monitoring, and the automation of the calibration.

  15. Bay Ridge Gardens - Mixed-Humid Affordable Multifamily Housing Deep Energy Retrofit

    SciTech Connect (OSTI)

    Lyons, J.; Moore, M.; Thompson, M.

    2013-08-01T23:59:59.000Z

    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.

  16. CX-007075: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 09272011 Location(s): Green Bay, Wisconsin Office(s): Energy Efficiency and Renewable Energy, Savannah River...

  17. Air pollutant monitoring for the East Bay Children's Respiratory Health Study

    SciTech Connect (OSTI)

    Singer, Brett C.; Hotchi, Toshifumi; Hodgson, Alfred T.

    2002-11-01T23:59:59.000Z

    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

  18. 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]

    Kamfonik, Dianne E

    2013-01-01T23:59:59.000Z

    ??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)

  19. Climate Change and Water Resources in California: The Cost of Conservation versus Supply Augmentation for the East Bay Municipal Utility District

    E-Print Network [OSTI]

    Mourad, Bessma

    2009-01-01T23:59:59.000Z

    Gammon, Rovert. 2009. Sierra Water Grab. East Bay Express,www.eastbayexpress.com/news/sierra_water_grab/Content? oid=UCB: 1070. Maddaus Water Management.   Conservation

  20. CX-003544: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Environmental Impact Protocols for Tidal PowerCX(s) Applied: A9, B3.1, B3.3, B3.6Date: 08/23/2010Location(s): Cobscook Bay, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  1. CX-002374: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Maine Tidal Power InitiativeCX(s) Applied: B3.1, B3.3, B3.6, A9Date: 05/18/2010Location(s): Cobscook Bay, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  2. CX-002284: Categorical Exclusion Determination

    Broader source: Energy.gov [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

  3. Feasibility Study of Carbon Sequestration Through Reforestation in the Chesapeake Bay Watershed of Virginia

    SciTech Connect (OSTI)

    Andy Lacatell; David Shoch; Bill Stanley; Zoe Kant

    2007-03-01T23:59:59.000Z

    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.

  4. Final Project Report, Bristol Bay Native Corporation Wind and Hydroelectric Feasibility Study

    SciTech Connect (OSTI)

    Vaught, Douglas J.

    2007-03-31T23:59:59.000Z

    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. BBNC’s 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, Clark’s 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, Clark’s 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).

  5. Spatial trends in community and health-related characteristics of Galveston Bay oyster reefs

    E-Print Network [OSTI]

    Song, Junggeun

    2012-06-07T23:59:59.000Z

    Reef Frenchy's Reef Gale's Reef Gaspipe Reef Half Moon Reef Lost Beezley Reef Levee Reef Middle Reef Morgan Point Reef APRIL 85355 B7375 BARTS BBEEZ BHILL BSHOA BUO59 BUO63 CONFE DIKIN DOLLA DOWRE EREDF ESRED FISHE FOBIT FRENC... Lake area and along the Houston Ship Channel than elsewhere. These areas contributed 68% of the total shell collected in the entire bay (Table 2, Fig. 1). All sites along the West side of the Houston Ship Channel from Morgan's Point to Half Moon...

  6. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: First Results Report

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2011-08-01T23:59:59.000Z

    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.

  7. Tracking Oil from the Deepwater Horizon Oil Spill in Barataria Bay Sediments

    E-Print Network [OSTI]

    Dincer, Zeynep

    2013-05-03T23:59:59.000Z

    of MASTER OF SCIENCE Approved by: Chair of Committee, Franco Marcantonio Co-Chair of Committee, Jos? L. Sericano Committee Members, Terry L. Wade Thomas S. Bianchi Head of Department, John R. Giardino May 2013 Major Subject: Geology... Island (Landau, 2011). The DWH oil spill is not the first oil spill in GoM. In June 1979, Ixtoc I platform was blown out in the Bay of Campeche, Mexico released 140 million gallons of oil into to the GoM (Etkin, 2009). Besides these large oil spills...

  8. Preparation for the Recovery of Spent Nuclear Fuel (SNF) at Andreeva Bay, North West Russia - 13309

    SciTech Connect (OSTI)

    Field, D.; McAtamney, N. [Nuvia Limited (United Kingdom)] [Nuvia Limited (United Kingdom)

    2013-07-01T23:59:59.000Z

    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)

  9. Ecology of recent ostracodes of the Todos Santos Bay region, Baja California, Mexico

    E-Print Network [OSTI]

    Benson, R. H.

    1959-07-20T23:59:59.000Z

    ). NORTHERN COAST Todos Santos Bay is bordered on the north by narrow beaches, terraces, and sea cliffs cut into Tertiary sediments and dioritic mountains. just north of Punta San Miguel, bordering the north- ernmost side of the study area, are several very... in the immediate area since at least early Pleistocene time. From El Sauzal east to near Punta Morro, the beach is very narrow. It is formed by wave erosion cutting into the 20-foot high sea cliffs of inter- bedded Tertiary (Commondu Formation, BEALE, 1948, p. 74...

  10. MHK Projects/Coos Bay OPT Wave Park | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpIncMAK Technologies Jump to:BW2 Tidal <CETOCohansey RiverCoos Bay

  11. MHK Projects/Ocean Energy Galway Bay IE | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpIncMAKGalway Bay IE < MHK Projects Jump to: navigation, search

  12. MHK Projects/San Francisco Bay Tidal Energy Project | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpIncMAKGalway Bay IE < MHK Project City Tunica0,LA

  13. MHK Projects/Willapa Bay Tidal Power Project | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformation Earth's Heat JumpIncMAKGalway Bay IE < MHKInformation Breton

  14. Selby-on-the-Bay, Maryland: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:Seadov Pty Ltd Jump to: navigation, search Name: SeadovSedgwick,Hawaii |Selby-on-the-Bay,

  15. Bio-Optical Variability in Mayaguez Bay during the Rainy Season Joel A. Quiones Rivera, ja23_degrees@hotmail.com

    E-Print Network [OSTI]

    Gilbes, Fernando

    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

  16. Holocene stratigraphy of the Alabama inner continental shelf: Influence of shelf sand ridges on determining lithofacies architecture

    SciTech Connect (OSTI)

    Davies, D.J.; Parker, S.J. (Geological Survey of Alabama, Tuscaloosa, AL (United States). Energy and Coastal Geology Div.)

    1993-03-01T23:59:59.000Z

    Surface and subsurface distribution of lithofacies from Holocene sediments of the AL inner continental shelf was determined from a series of 59 vibracores and associated surface sediment grab sediments. Five Holocene lithofacies composed of 12 discrete microfacies were delineated based on grain size, color, sedimentary structures, shell content, and fabric of samples. These lithofacies include: (1) Graded Shelly Sand Lithofacies; (2) Clean Sand Lithofacies; (3) Dirty Sand Lithofacies; (4) Biogenic Sediment Lithofacies; and (5) Muddy Sediment Lithofacies. These represent four major depositional environments: The Shelf Sand Sheet Environment (lithofacies 1 and 2); the Sand Ridge Environment (lithofacies 1, 2, and 3); the Bay/Lagoon Environment (lithofacies 3, 4 and 5); and the Muddy Shelf Environment (lithofacies 5). East of the Main Pass of Mobile Bay, the seafloor is composed of a clean Shelf Sand Sheet with oblique shelf sand ridges; Clean Sand and Graded Shelly Sand are the dominant surface sediment types. Coarse shell beds that grade up to quartz sand units (total thickness 0.1 to 3+m) interpreted as tempestites comprise most of the upper portion of the ridges. West of the Pass, the muddier lithofacies (3 and 5) dominate surface samples. Microfacies at depth represent the early Holocene transgressive systems tract; these include the Muddy Shelf Depositional Environment and the filled estuaries and bays of the flooded Pleistocene fluvial valleys represented by the Bay/Lagoon Depositional Environment. The AL inner shelf provides an excellent model of the variability of sedimentation mode in time and space during deposition of a transgressive systems tract. Development of the palimpsest sand sheet/ridge complex progressed on the eastern shelf due to shut off of sediment influx, westward longshore currents, and episodic incidence of major hurricanes. On the western shelf a patchy distribution of muddier sediments developed from input of floodwaters from Mobile Bay.

  17. The Golden Gate Textile Barrier: Preserving California Bay of San Francisco from a Rising North Pacific Ocean

    E-Print Network [OSTI]

    Richart B. Cathcart; Alexander A. Bolonkin

    2007-02-04T23:59:59.000Z

    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.

  18. The Golden Gate Textile Barrier: Preserving California Bay of San Francisco from a Rising North Pacific Ocean

    E-Print Network [OSTI]

    Cathcart, R B; Bolonkin, Alexander A.; Cathcart, Richart B.

    2007-01-01T23:59:59.000Z

    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.

  19. Assessing conformance to safety goals using nonparametric empirical Bayes methods: A nuclear reactor application

    SciTech Connect (OSTI)

    Martz, H.F.; Johnson, J.W. [Los Alamos National Lab., NM (United States)

    1997-01-01T23:59:59.000Z

    Nonparametric empirical Bayes methods are used to develop decision criteria for use in deciding whether the risk of a given facility is compatible with a corresponding specified quantitative safety goal. The criteria utilize the uncertain results of a probabilistic risk assessment (PRA) and are derived from an empirical Bayes point of view in which the results from a set of similar facilities are used to estimate the population variability curve (PVC) for the parameter of interest. The PVC is estimated nonparametrically in the sense that the distributional family to which the PVC belongs is completely unknown and unspecified. For the assumed model, the method guarantees that all facilities ultimately accepted as being compatible with the goal have a prespecified exact assurance probability that the goal is not exceeded. The method also accounts for two possible biases in the PRA results. Criteria are developed for use in assessing the compatibility of nuclear power plant PRA-produced severe core damage frequency estimates with a corresponding subsidiary objective.

  20. CX-001636: Categorical Exclusion Determination | Department of...

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

    the near future. A National Renewable Energy Laboratory contractor would install a 50-meter met tower at the Alexandria Bay LPOE for 12 months. Data collected from the met tower...

  1. Categorical Exclusion (CX) Determination Proposed Action: Expansion...

    Broader source: Energy.gov (indexed) [DOE]

    yard to accommodate an additional bay for a dedicated electrical feed to a future oil pumping station that will be part of the Keystone XL project. Number and Title of Categorical...

  2. CX-006301: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    yard to accommodate an additional bay for a dedicated electrical feed to a future oil pumping station that will be part of the Keystone XL project. This categorical exclusion...

  3. CX-000535: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    2009 Location(s): Aiken, South Carolina Office(s): Environmental Management, Savannah River Operations Office The 105-C Transfer Bay will be used as the work area for the...

  4. CX-003626: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    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...

  5. CX-006291: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    approximately 4 acres to the south for the purpose of adding additional bays for the Keystone XL pipeline project. DOCUMENT(S) AVAILABLE FOR DOWNLOAD CX-006291.pdf More...

  6. CX-007161: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    (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...

  7. Journal ofMurirzr Research, 53, 799-8 19, 1995 Carbon cycling in mesohaline ChesapeakeBay sediments 1

    E-Print Network [OSTI]

    Boynton, Walter R.

    Journal ofMurirzr Research, 53, 799-8 19, 1995 Carbon cycling in mesohaline ChesapeakeBay sedimentsChesapeake Baywas analyzed using available data on sediment sulfate reduction, sediment oxygen consumption of integrated sediment metabolism and POC burial compared well with direct estimates derived from chlorophyll

  8. Abstract--The West and Rhode Rivers (WRR), two mezohaline sub-estuaries of the Chesapeake Bay, contain

    E-Print Network [OSTI]

    ) and TSS reduce the distance that sunlight can travel through the water column. This lack of sunlight, contain a total volume of 26 million m3 of water and have a 78 km2 watershed. Due to local runoff and the excess nutrients and total suspended solids (TSS) entering the WRR from the Chesapeake Bay, water quality

  9. NAME: Sears Point Tidal Restoration Project LOCATION: Near Petaluma, CA, in the San Pablo Bay and Tolay Creek Watersheds

    E-Print Network [OSTI]

    US Army Corps of Engineers

    of estuarine habitat comprised of deep and shallow water habitat, mudflats, salt marsh, and wetlandNAME: Sears Point Tidal Restoration Project LOCATION: Near Petaluma, CA, in the San Pablo Bay PROJECT DESCRIPTION: Sears Point, the proposed project site, consists of approximately 960 acres of diked

  10. Dear BAMM Attendee, BAMM will be held at UCSF's Mission Bay Campus in Genentech Hall. Registration will begin at

    E-Print Network [OSTI]

    Wagner, Anthony

    : from 80 West - I-80 West and cross the Bay Bridge - Exit 5th Street on the left toward Golden Gate Bridge/US-101 - Sharp Left at 5th Street (first stop light off the exit) - Left at Brannan Street - Right at 4th Street - Continue on 4th Street past the CalTrain station and across the small bridge - Left

  11. The Role of Zebra Mussels in Promoting Microcystis Blooms and Other Ecosystem Changes in Saginaw Bay and in Lake Erie

    E-Print Network [OSTI]

    , or blue- green alga. Blooms of Microcystis also occurred in western Lake Erie in 1995 and 1998 Bay and in Lake Erie Primary Investigator: Henry Vanderploeg - NOAA GLERL Co-Investigators: Sara introduction into other aquatic systems. Improvement of water clarity has been seen in Lakes Erie and St. Clair

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

    E-Print Network [OSTI]

    Melvin, Stefani Lynn

    1996-01-01T23:59:59.000Z

    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 bird use due to marsh origin, size, and age. Birds were grouped by foraging method, prey...

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

    E-Print Network [OSTI]

    Frimodig, Adam J.

    2007-01-01T23:59:59.000Z

    of literally thousands of PVC pipes in the bay. This studyThe entire block was surrounded by PVC poles placed at 0.8 mThe entire block was surrounded by PVC poles placed at 0.8 m

  14. Feeding Ecology of 0-Group Sea Bass, Dicentrarchus labrax, in Salt Marshes of Mont Saint Michel Bay (France)

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    bass Dicentrarchus labrax is among the most abundant and exploited fish species of Eu- ropean coastsFeeding Ecology of 0-Group Sea Bass, Dicentrarchus labrax, in Salt Marshes of Mont Saint Michel Bay, France ABSTRACT: 0-group sea bass, Dicentrarchus labrax, colonize intertidal marsh creeks of Mont Saint

  15. Impact of urbanization on the water quality, fish habitat, and fish community of a Lake Ontario marsh, Frenchman's Bay.

    E-Print Network [OSTI]

    McMaster University

    marsh, Frenchman's Bay. Titus S. Seilheimer1* , Anhua Wei1 , Patricia Chow-Fraser1 , and Nicholas Eyles2 1: Department of Biology McMaster University 1280 Main Street West Hamilton, ON L8S 4K1 Canada 2: Environmental Earth Sciences University of Toronto at Scarborough Scarborough, ON M1C 1A4 Canada Running title

  16. THE APPLICATION OF THE LAND TRANSFORMATION, GROUNDWATER FLOW AND SOLUTE TRANSPORT MODELS FOR MICHIGAN'S GRAND TRAVERSE BAY

    E-Print Network [OSTI]

    1 THE APPLICATION OF THE LAND TRANSFORMATION, GROUNDWATER FLOW AND SOLUTE TRANSPORT MODELS). The two hydrogeologic models that are being used here allow us to explore the dynamics of groundwater flow Meeting, New Orleans, Louisiana, March 14, 2001. #12;2 INTRODUCTION Grand Traverse Bay and the Grand

  17. EA-1916: Ocean Renewable Power Company Maine, LLC Cobscook Bay Tidal Energy Pilot Project, Cobscook in Washington County, Maine

    Broader source: Energy.gov [DOE]

    Draft Environmental AssessmentThis 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.

  18. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration: Second Results Report

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2012-07-01T23:59:59.000Z

    This report presents results of a demonstration of 12 new fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. 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. The first results report was published in August 2011, describing operation of these new FCEBs from September 2010 through May 2011. New results in this report provide an update through April 2012.

  19. A Radiocarbon Chronology of Hunter-Gatherer Occupation from Bodega Bay, California, USA

    SciTech Connect (OSTI)

    Kennedy, M A; Russell, A D; Guilderson, T P

    2005-04-27T23:59:59.000Z

    The evolution of hunter-gatherer maritime adaptations in western North America has been a prominent topic of discussion among archaeologists in recent years (e.g. Arnold 1992; Erlandson and Colten 1991; Erlandson and Glassow 1997; Lightfoot 1993). Although vast coastal regions of the northeastern Pacific (for example, southern California) have been investigated in detail, our understanding of hunter-gatherer developments along the coast of northern California is limited. Previous research indicates that humans have exploited marine mammals, fish and shellfish along the northern California shoreline since the early Holocene (Schwaderer 1992). By the end of the late Holocene, some groups remained year-round on the coast subsisting primarily on marine resources (e.g. Gould 1975; Hildebrandt and Levulett 2002). However, a paucity of well-dated cultural deposits has hindered our understanding of these developments, particularly during the early and middle Holocene. The lack of a long and reliable chronological sequence has restricted our interpretations of behavioral change, including the adaptive strategies (such as foraging, mobility and settlement) used by human foragers to colonize and inhabit the coastal areas of this region. These shortcomings have also hindered comparative interpretations with other coastal and inland regions in western North America. Here we present a Holocene radiocarbon chronology of hunter-gatherer occupation based on contemporaneous samples of charcoal and Mytilus californianus (California sea mussel) shell recovered from seven archaeological sites near Bodega Bay, California. A series of 127 {sup 14}C ages reveal a chronological sequence that spans from ca. 8940-110 cal BP (1{sigma}) (7890-160 {sup 14}C yr BP = charcoal; 8934-101 {sup 14}C yr BP = shell). As part of this sequence, we report new {sup 14}C dates from the stratified cave and open-air midden deposits at Duncan's Landing (CA-SON-348/H). In addition, we present {sup 14}C ages from three middle Holocene sites located in the Bodega Dunes, and from three late Holocene sites, including Kili (CASON-299), the oldest known village site in the region. Bodega Bay (38 degrees 19 minutes N, 123 degrees 03 minutes W) is situated about 90 km north of San Francisco Bay, California (Figure 1). The Pacific, in conjunction with prominent geomorphological features, has given rise to a series of coastal habitats (e.g. semi-protected and protected shorelines) around Bodega Bay that are rather unique for the unprotected, surf swept rocky shores of northern California. This stretch of coastline also lies within a zone of particularly strong seasonal upwelling between Point Reyes Peninsula and Cape Mendocino; a region characterized by high Ekman transport (Huyer 1983), and high coastal concentrations of the nutrients silica and phosphate (van Geen and Husby 1996). The interaction between land and sea results in a productive marine ecosystem that has attracted hunter-gatherers for much of the Holocene.

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

    E-Print Network [OSTI]

    Boslet, Jane Murray

    2012-06-07T23:59:59.000Z

    'dth f q y f N~*i 8 from all Galveston Bay sampling sites during June ? November 1987 30 20 REEF " o. o4 (n-94) 0. 03 10 0. 0 1 0 30 CHANNEL (n 1385) 0. 72 0. 6v 0 I- 20 0. 36 10 0 0 0. 06 O. 14 (0. 01 40 ON-REEF/CHANNEL (n. 517) 0... (Sullivan 1979) to be similar to that of the total female population (96-99 or 100-103 mm CW). Gravid f 1 M. ~ h h d t d 11 36. 9 mm CW (Savage and Sullivan 1978) and M. adina counterparts as small as 33. 8 mm CW (Powell and Gunter 1968). Generally...

  1. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results: Third Report

    SciTech Connect (OSTI)

    Eudy, L.; Post, M.

    2014-05-01T23:59:59.000Z

    This report presents results of a demonstration of 12 fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. 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. NREL has published two previous reports, in August 2011 and July 2012, describing operation of these buses. New results in this report provide an update covering eight months through October 2013.

  2. RESOURCE CHARACTERIZATION AND QUANTIFICATION OF NATURAL GAS-HYDRATE AND ASSOCIATED FREE-GAS ACCUMULATIONS IN THE PRUDHOE BAY - KUPARUK RIVER AREA ON THE NORTH SLOPE OF ALASKA

    SciTech Connect (OSTI)

    Robert Hunter; Shirish Patil; Robert Casavant; Tim Collett

    2003-06-02T23:59:59.000Z

    Interim results are presented from the project designed to characterize, quantify, and determine the commercial feasibility of Alaska North Slope (ANS) gas-hydrate and associated free-gas resources in the Prudhoe Bay Unit (PBU), Kuparuk River Unit (KRU), and Milne Point Unit (MPU) areas. This collaborative research will provide practical input to reservoir and economic models, determine the technical feasibility of gas hydrate production, and influence future exploration and field extension of this potential ANS resource. The large magnitude of unconventional in-place gas (40-100 TCF) and conventional ANS gas commercialization evaluation creates industry-DOE alignment to assess this potential resource. This region uniquely combines known gas hydrate presence and existing production infrastructure. Many technical, economical, environmental, and safety issues require resolution before enabling gas hydrate commercial production. Gas hydrate energy resource potential has been studied for nearly three decades. However, this knowledge has not been applied to practical ANS gas hydrate resource development. ANS gas hydrate and associated free gas reservoirs are being studied to determine reservoir extent, stratigraphy, structure, continuity, quality, variability, and geophysical and petrophysical property distribution. Phase 1 will characterize reservoirs, lead to recoverable reserve and commercial potential estimates, and define procedures for gas hydrate drilling, data acquisition, completion, and production. Phases 2 and 3 will integrate well, core, log, and long-term production test data from additional wells, if justified by results from prior phases. The project could lead to future ANS gas hydrate pilot development. This project will help solve technical and economic issues to enable government and industry to make informed decisions regarding future commercialization of unconventional gas-hydrate resources.

  3. Accumulation of Pb and Cu heavy metals in sea water, sediment, and leaf and root tissue of Enhalus sp. in the seagrass bed of Banten Bay

    SciTech Connect (OSTI)

    Fauziah, Faiza, E-mail: faiza.fauziah@gmail.com; Choesin, Devi N., E-mail: faiza.fauziah@gmail.com [School of Life Sciences and Technology, Institut Teknologi Bandung, Jalan Ganeca 10, Bandung 40132 (Indonesia)

    2014-03-24T23:59:59.000Z

    Banten Bay in Indonesia is a coastal area which has been highly affected by human activity. Previous studies have reported the presence of lead (Pb) and copper (Cu) heavy metals in the seawater of this area. This study was conducted to measure the accumulation of Pb and Cu in seawater, sediment, leaf tissue, and root tissue of the seagrass species Enhalus sp. Sampling was conducted at two observation stations in Banten Bay: Station 1 (St.1) was located closer to the coastline and to industrial plants as source of pollution, while Station 2 (St.2) was located farther away offshore. At each station, three sampling points were established by random sampling. Field sampling was conducted at two different dates, i.e., on 29 May 2012 and 30 June 2012. Samples were processed by wet ashing using concentrated HNO{sub 3} acid and measured using Atomic Absorption Spectrometry (AAS). Accumulation of Pb was only detected in sediment samples in St.1, while Cu was detected in all samples. Average concentrations of Cu in May were as follows: sediment St.1 = 0.731 ppm, sediment St.2 = 0.383 ppm, seawater St.1 = 0.163 ppm, seawater St.2 = 0.174 ppm, leaf St.1 = 0.102 ppm, leaf St.2 = 0.132 ppm, root St.1= 0.139 ppm, and root St.2 = 0.075 ppm. Average measurements of Cu in June were: sediment St.1 = 0.260 ppm, leaf St.1 = 0.335 ppm, leaf St.2 = 0.301 ppm, root St.1= 0.047 ppm, and root St.2 = 0.060 ppm. In June, Cu was undetected in St.2 sediment and seawater at both stations. In May, Cu concentration in seawater exceeded the maximum allowable threshold for water as determined by the Ministry of the Environment. Spatial and temporal variation in Pb and Cu accumulation were most probably affected by distance from source and physical conditions of the environment (e.g., water current and mixing)

  4. Spatial and Temporal Patterns of Eastern Oyster (Crassostrea virginica) Populations and Their Relationships to Dermo (Perkinsus marinus) Infection and Freshwater Inflows in West Matagorda Bay, Texas.

    E-Print Network [OSTI]

    Culbertson, Jan C.

    2010-01-14T23:59:59.000Z

    Matagorda Bay, Texas. The objectives were to design and link three population models that simulate oyster population dynamics and integrate the environmental factors that influence growth, reproduction and settlement of larvae among these three reefs...

  5. Did "Pookie" get a green-collar job? : a critical case study on the East Bay Green Corridor's employment goals, activities, and impacts

    E-Print Network [OSTI]

    Miller, Matthew J. (Matthew Jordan)

    2014-01-01T23:59:59.000Z

    This thesis describes the formation of the East Bay Green Corridor (EBGC), a multi-city partnership for green investment in California, and how it failed to create stable, living wage economic opportunities for those with ...

  6. A high resolution geophysical investigation of spatial sedimentary processes in a paraglacial turbid outwash fjord: Simpson Bay, Prince William Sound, Alaska

    E-Print Network [OSTI]

    Noll, Christian John, IV

    2006-04-12T23:59:59.000Z

    Simpson Bay is a turbid, outwash fjord located in northeastern Prince William Sound, Alaska. A high ratio of watershead:basin surface area combined with high precipitation and an easily erodable catchment create high sediment inputs. Fresh water...

  7. Coupled flow and geomechanical analysis for gas production in the Prudhoe Bay Unit L-106 well Unit C gas hydrate deposit in Alaska

    E-Print Network [OSTI]

    Kim, J.

    2014-01-01T23:59:59.000Z

    2009. Toward Production From Gas Hydrates: Current Status,Geologic Controls on Gas Hydrate Occurrence in the MountCollett T.S. 1993. Natural Gas Hydrates of the Prudhoe Bay

  8. A summary of chemical and biological testing of proposed disposal of sediment from Richmond Harbor relative to the Deep Off-Shelf Reference Area, the Bay Farm Borrow Area, and the Alcatraz Environs Reference Area

    SciTech Connect (OSTI)

    Mayhew, H.L.; Karle, L.M.; Gruendell, B.D.; Pinza, M.R. [Battelle/Marine Sciences Lab., Sequim, WA (United States)

    1993-12-01T23:59:59.000Z

    The US Army Corps of Engineers was authorized to dredge Richmond Harbor to accomodate large, deep-draft vessels. An ecological evaluation of the Harbor sediments was performed describing the physical characteristics, toxic substances, effects on aquatic organisms,and potential for bioaccumulation of chemical contaminants. The objective of this report is to compare the sediment chemistry, acute toxicity, and bioaccumulation results of the Richmond Harbor sediments to each of the reference areas; i.e., the Deep Off-Shelf Reference Area, the Bay Farm Borrow Area, and the Alcatraz Environs Reference Area. This report will enable the US Army Corps of Engineers to determine whether disposal at a reference area is appropriate for all or part of the dredged material from Richmond Harbor. Chemical analyses were performed on 30 sediment samples; 28 of those samples were then combined to form 7 composites. The seven composites plus sediment from two additional stations received both chemical and biological evaluations.

  9. Fertilization success and zygote survival in the Galveston Bay population of Crassostrea virginica (Gmelin), the eastern oyster

    E-Print Network [OSTI]

    Armstrong, Stephanie Celeste

    1997-01-01T23:59:59.000Z

    FERTILIZATION SUCCESS AND ZYGOTE SURVIVAL IN THE GALVESTON BAY POPULATION OF CRASSOSTREA VIRGIJVICA (GMELIN), THE EASTERN OYSTER A Thesis by STEPIIANIE CELESTE ARMSTRONG Submitted to the Office of Graduate Studies of Texas ARM University... EASTERN OYSTER A Thesis by STEPHANIE CELESTE ARMSTRONG 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: L onard V. DiMichele (Co...

  10. Selected chemistry of primary producers, primary consumers and suspended matter from Corpus Christi Bay and the northwest Gulf of Mexico

    E-Print Network [OSTI]

    Sims, Robert Russell

    1975-01-01T23:59:59.000Z

    , suspended matter (suspended sediment) samples were vacuum filtered using 0. 4 p, 47 mi. llimeter diameter Nucleopore membrane filters. All samples were subsequently washed with deionized water (to remove dissolved solids) and dried at 60 C. Once dry...SELECTED CHEMISTRY OF PRIMARY PRODUCERS, PRIMARY CONSUMERS AND SUSPENDED MATTER FROM CORPUS CHRISTI BAY AND THE NORTHWEST GULF OF MEXICO A Thesis ROBERT RUSSELL SIMS, JR. Submitted to the Graduate College of Texas A&M University in partial...

  11. Ecosystem under Pressure: Examining the Phytoplankton Community in the High Ballast Water Discharge Environment of Galveston Bay, Texas (USA)

    E-Print Network [OSTI]

    Steichen, Jamie L

    2013-01-15T23:59:59.000Z

    water from port to port (Anderson, 2009). The combination of larger ballast tanks, ever increasing international commerce and shorter transit times, has synergistically contributed to the increasing rate of successful invasions in coastal bays... and Gymnodinium catenatum (found in POH June 2007), native to Japan, was introduced to Australia (Hallegraeff and Bolch, 1991). Viable cysts of the toxic species of Alexandrium were identified and cultured from multiple ballast tanks of vessels traveling from...

  12. Lower Flathead System Fisheries Study, South Bay of Flathead Lake, Volume III, 1983-1987 Final Report.

    SciTech Connect (OSTI)

    Cross, David; Waite, Ian

    1988-06-01T23:59:59.000Z

    The Lower Flathead System Fisheries Study assessed the effects of Kerr Dam operation on the fisheries of the lower Flathead ecosystem. South Bay, the southern most lobe of Flathead Lake, is the most extensive area of shallow water, and therefore, most effected by changes in lake levels. This study began in January of 1984 and was completed in early 1987. Vegetative and structural cover are relatively limited in South Bay, a condition which could contribute to lower recruitment for some fish species. Our data show that the study area contained 0.04% structural and 5.4% vegetative cover in June at full pool. Both figures are less than 1.0% at minimum pool. Structural complexity mediates the ecological interactions between littoral zone fish and their prey, and can affect local productivity and growth in fish. Structural complexity may also be important to overwinter survival of young perch in Flathead Lake. Winter conditions, including ice cover and fall drawdown, seasonally eliminate the vegetative portion of most rooted macrophytes in South Bay. This results in substantial loss of what little structural cover exists, depriving the perch population of habitat which has been occupied all summer. The loss of cover from draw-down concentrates and probably exposes perch to greater predation, including cannibalism, than would occur if structural complexity were greater. 33 refs., 10 figs., 5 tabs.

  13. Optimizing the Determination of the Neutrino Mixing Angle $?_{13}$ from Reactor Data

    E-Print Network [OSTI]

    Amir N. Khan; Douglas W. McKay; John P. Ralston

    2014-01-17T23:59:59.000Z

    The technical breakthroughs of multiple detectors developed by Daya Bay and RENO collaborations have gotten great attention. Yet the optimal determination of neutrino mixing parameters from reactor data depends on the statistical method and demands equal attention. We find that a straightforward method using a minimal parameters will generally outperform a multi-parameter method by delivering more reliable values with sharper resolution. We review standard confidence levels and statistical penalties for models using extra parameters, and apply those rules to our analysis. We find that the methods used in recent work of the Daya Bay and RENO collaborations have several undesirable properties. The existing work also uses non-standard measures of significance which we are unable to explain. A central element of the current methods consists of variationally fitting many more parameters than data points. As a result the experimental resolution of $\\sin ^{2}(2\\theta _{13})$ is degraded. The results also become extremely sensitive to certain model parameters that can be adjusted arbitrarily. The number of parameters to include in evaluating significance is an important issue that has generally been overlooked. The measures of significance applied previously would be consistent if and only if all parameters but one were considered to have no physical relevance for the experiment's hypothesis test. Simpler, more transparent methods can improve the determination of the mixing angle $\\theta _{13}$ from reactor data, and exploit the advantages from superb hardware technique of the experiments. We anticipate that future experimental analysis will fully exploit those advantages.

  14. EMPOWERING DIGITAL SELF DETERMINATION

    E-Print Network [OSTI]

    Das, Rhiju

    : Communication and Digital Media 2. Data Context and Digital Personas 3. Personal Data: Use, ReuseEMPOWERING DIGITAL SELF DETERMINATION Symposium Summary Stanford University, Summer 2012 #12;#12;EMPOWERING DIGITAL SELF DETERMINATION Symposium, Stanford University, CA Summer, 2012 210 Panama Street

  15. Discover Jacksonville | Ultimate Jaguars | First Coast Fugitives | Internet Directory | Jax2Go Wireless Water's Edge magazine | H for Health magazine | Jax Air News | Mayport Mirror | Kings Bay Periscope | Ultimate Yellow Pages

    E-Print Network [OSTI]

    Richardson, Martin C.

    Wireless Water's Edge magazine | H for Health magazine | Jax Air News | Mayport Mirror | Kings Bay Manatee County Port Authority Central Florida: Furniture Refinishers Sub- Contract Leathersmith

  16. Deployment of the National Transparent Optical Network around the San Francisco Bay Area

    SciTech Connect (OSTI)

    McCammon, K.; Haigh, R.; Armstrong, G. [and others

    1996-06-01T23:59:59.000Z

    We report on the deployment and initial operation of the National Transparent Optical Network, an experimental WDM network testbed around the San Francisco Bay Area, during the Optical Fiber Conference (OFC`96) held in San Jose, CA. The deployment aspects of the physical plant, optical and SONET layers are examined along with a discussion of broadband applications which utilized the network during the OFC`96 demonstration. The network features dense WDM technology, transparent optical routing technology using acousto- optic tunable filter based switches, and network modules with add/drop, multicast, and wavelength translation capabilities. The physical layer consisted of over 300 km of Sprint and Pacific Bell conventional single mode fiber which was amplified with I I optical amplifiers deployed in pre-amp, post-amp, and line amp configurations. An out-of-band control network provided datacom channels from remote equipment sites to the SONET network manager deployed at the San Jose Convention Center for the conference. Data transport over five wavelengths was achieved in the 1550 nm window using a variety of signal formats including analog and digital signal transmission on different wavelengths on the same fiber. The network operated throughout the week of OFC`96 and is still in operation today.

  17. Investigation of Spatial Variation of Sea States Offshore of Humboldt Bay CA Using a Hindcast Model.

    SciTech Connect (OSTI)

    Dallman, Ann Renee; Neary, Vincent Sinclair

    2014-10-01T23:59:59.000Z

    Spatial variability of sea states is an important consideration when performing wave resource assessments and wave resource characterization studies for wave energy converter (WEC) test sites and commercial WEC deployments. This report examines the spatial variation of sea states offshore of Humboldt Bay, CA, using the wave model SWAN . The effect of depth and shoaling on bulk wave parameters is well resolved using the model SWAN with a 200 m grid. At this site, the degree of spatial variation of these bulk wave parameters, with shoaling generally perpendicular to the depth contours, is found to depend on the season. The variation in wave height , for example, was higher in the summer due to the wind and wave sheltering from the protruding land on the coastline north of the model domain. Ho wever, the spatial variation within an area of a potential Tier 1 WEC test site at 45 m depth and 1 square nautical mile is almost negligible; at most about 0.1 m in both winter and summer. The six wave characterization parameters recommended by the IEC 6 2600 - 101 TS were compared at several points along a line perpendicular to shore from the WEC test site . As expected, these parameters varied based on depth , but showed very similar seasonal trends.

  18. Updated User's Guide for Sammy: Multilevel R-Matrix Fits to Neutron Data Using Bayes' Equations

    SciTech Connect (OSTI)

    Larson, Nancy M [ORNL

    2008-10-01T23:59:59.000Z

    In 1980 the multilevel multichannel R-matrix code SAMMY was released for use in analysis of neutron-induced cross section data at the Oak Ridge Electron Linear Accelerator. Since that time, SAMMY has evolved to the point where it is now in use around the world for analysis of many different types of data. SAMMY is not limited to incident neutrons but can also be used for incident protons, alpha particles, or other charged particles; likewise, Coulomb exit hannels can be included. Corrections for a wide variety of experimental conditions are available in the code: Doppler and resolution broadening, multiple-scattering corrections for capture or reaction yields, normalizations and backgrounds, to name but a few. The fitting procedure is Bayes' method, and data and parameter covariance matrices are properly treated within the code. Pre- and post-processing capabilities are also available, including (but not limited to) connections with the Evaluated Nuclear Data Files. Though originally designed for use in the resolved resonance region, SAMMY also includes a treatment for data analysis in the unresolved resonance region.

  19. SPAWNING, AGE DETERMINATION, LONGEVITY, AND MORTALITY OF THE SILVER SEATROUT, CYNOSCION NOTHUS, IN

    E-Print Network [OSTI]

    to the Bay of Campeche (Hildebrand and Schroeder 1928; Hildebrand 1955). Cynoscion nothus is one of the more

  20. Determining the Bayesian optimal sampling strategy in a hierarchical system.

    SciTech Connect (OSTI)

    Grace, Matthew D.; Ringland, James T.; Boggs, Paul T.; Pebay, Philippe Pierre

    2010-09-01T23:59:59.000Z

    Consider a classic hierarchy tree as a basic model of a 'system-of-systems' network, where each node represents a component system (which may itself consist of a set of sub-systems). For this general composite system, we present a technique for computing the optimal testing strategy, which is based on Bayesian decision analysis. In previous work, we developed a Bayesian approach for computing the distribution of the reliability of a system-of-systems structure that uses test data and prior information. This allows for the determination of both an estimate of the reliability and a quantification of confidence in the estimate. Improving the accuracy of the reliability estimate and increasing the corresponding confidence require the collection of additional data. However, testing all possible sub-systems may not be cost-effective, feasible, or even necessary to achieve an improvement in the reliability estimate. To address this sampling issue, we formulate a Bayesian methodology that systematically determines the optimal sampling strategy under specified constraints and costs that will maximally improve the reliability estimate of the composite system, e.g., by reducing the variance of the reliability distribution. This methodology involves calculating the 'Bayes risk of a decision rule' for each available sampling strategy, where risk quantifies the relative effect that each sampling strategy could have on the reliability estimate. A general numerical algorithm is developed and tested using an example multicomponent system. The results show that the procedure scales linearly with the number of components available for testing.

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

    SciTech Connect (OSTI)

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

    2012-01-03T23:59:59.000Z

    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.

  2. Resource Characterization and Quantification of Natural Gas-Hydrate and Associated Free-Gas Accumulations in the Prudhoe Bay - Kuparuk River Area on the North Slope of Alaska

    SciTech Connect (OSTI)

    Shirish Patil; Abhijit Dandekar

    2008-12-31T23:59:59.000Z

    Natural gas hydrates have long been considered a nuisance by the petroleum industry. Hydrates have been hazards to drilling crews, with blowouts a common occurrence if not properly accounted for in drilling plans. In gas pipelines, hydrates have formed plugs if gas was not properly dehydrated. Removing these plugs has been an expensive and time-consuming process. Recently, however, due to the geologic evidence indicating that in situ hydrates could potentially be a vast energy resource of the future, research efforts have been undertaken to explore how natural gas from hydrates might be produced. This study investigates the relative permeability of methane and brine in hydrate-bearing Alaska North Slope core samples. In February 2007, core samples were taken from the Mt. Elbert site situated between the Prudhoe Bay and Kuparuk oil fields on the Alaska North Slope. Core plugs from those core samples have been used as a platform to form hydrates and perform unsteady-steady-state displacement relative permeability experiments. The absolute permeability of Mt. Elbert core samples determined by Omni Labs was also validated as part of this study. Data taken with experimental apparatuses at the University of Alaska Fairbanks, ConocoPhillips laboratories at the Bartlesville Technology Center, and at the Arctic Slope Regional Corporation's facilities in Anchorage, Alaska, provided the basis for this study. This study finds that many difficulties inhibit the ability to obtain relative permeability data in porous media-containing hydrates. Difficulties include handling unconsolidated cores during initial core preparation work, forming hydrates in the core in such a way that promotes flow of both brine and methane, and obtaining simultaneous two-phase flow of brine and methane necessary to quantify relative permeability using unsteady-steady-state displacement methods.

  3. Testing general relativity with compact coalescing binaries: comparing exact and predictive methods to compute the Bayes factor

    E-Print Network [OSTI]

    Walter Del Pozzo; Katherine Grover; Ilya Mandel; Alberto Vecchio

    2014-08-11T23:59:59.000Z

    The second generation of gravitational-wave detectors is scheduled to start operations in 2015. Gravitational-wave signatures of compact binary coalescences could be used to accurately test the strong-field dynamical predictions of general relativity. Computationally expensive data analysis pipelines, including TIGER, have been developed to carry out such tests. As a means to cheaply assess whether a particular deviation from general relativity can be detected, Cornish et al. and Vallisneri recently proposed an approximate scheme to compute the Bayes factor between a general-relativity gravitational-wave model and a model representing a class of alternative theories of gravity parametrised by one additional parameter. This approximate scheme is based on only two easy-to-compute quantities: the signal-to-noise ratio of the signal and the fitting factor between the signal and the manifold of possible waveforms within general relativity. In this work, we compare the prediction from the approximate formula against an exact numerical calculation of the Bayes factor using the lalinference library. We find that, using frequency-domain waveforms, the approximate scheme predicts exact results with good accuracy, providing the correct scaling with the signal-to-noise ratio at a fitting factor value of 0.992 and the correct scaling with the fitting factor at a signal-to-noise ratio of 20, down to a fitting factor of $\\sim$ 0.9. We extend the framework for the approximate calculation of the Bayes factor which significantly increases its range of validity, at least to fitting factors of $\\sim$ 0.7 or higher.

  4. Determining Reactor Neutrino Flux

    E-Print Network [OSTI]

    Jun Cao

    2012-03-08T23:59:59.000Z

    Flux is an important source of uncertainties for a reactor neutrino experiment. It is determined from thermal power measurements, reactor core simulation, and knowledge of neutrino spectra of fuel isotopes. Past reactor neutrino experiments have determined the flux to (2-3)% precision. Precision measurements of mixing angle $\\theta_{13}$ by reactor neutrino experiments in the coming years will use near-far detector configurations. Most uncertainties from reactor will be canceled out. Understanding of the correlation of uncertainties is required for $\\theta_{13}$ experiments. Precise determination of reactor neutrino flux will also improve the sensitivity of the non-proliferation monitoring and future reactor experiments. We will discuss the flux calculation and recent progresses.

  5. Leakage Tests of the Stainless Steel Vessels of the Antineutrino Detectors in the Daya Bay Reactor Neutrino Experiment

    E-Print Network [OSTI]

    Xiaohui Chen; Xiaolan Luo; Yuekun Heng; Lingshu Wang; Xiao Tang; Xiaoyan Ma; Honglin Zhuang; Henry Band; Jeff Cherwinka; Qiang Xiao; Karsten M. Heeger

    2012-03-02T23:59:59.000Z

    The antineutrino detectors in the Daya Bay reactor neutrino experiment are liquid scintillator detectors designed to detect low energy particles from antineutrino interactions with high efficiency and low backgrounds. Since the antineutrino detector will be installed in a water Cherenkov cosmic ray veto detector and will run for 3 to 5 years, ensuring water tightness is critical to the successful operation of the antineutrino detectors. We choose a special method to seal the detector. Three leak checking methods have been employed to ensure the seal quality. This paper will describe the sealing method and leak testing results.

  6. Gender determination in populus

    SciTech Connect (OSTI)

    McLetchie, D.N. [Univ. of Kentucky, Lexington, KY (United States). Dept. of Biological Sciences; Tuskan, G.A. [Oak Ridge National Lab., TN (United States)

    1994-12-31T23:59:59.000Z

    Gender, the expression of maleness or femaleness, in dioecious plants has been associated with changes in morphology, physiology, ecological position, and commercial importance of several species, including members of the Salicaceae family. Various mechanisms have been proposed to explain the expression of gender in Salicaceae, including sex chromosomes, simple Mendelian genes, quantitative genes, environment, and genotype-by-environment interactions. Published reports would favor a genetic basis for gender. The objective of this study was to identify molecular markers associated with gender in a segregating family of hybrid poplars. Bulked segregant analysis and chi-squared analysis were used to test for the occurrence of sex chromosomes, individual loci, and chromosome ratios (i.e., ploidy levels) as the mechanisms for gender determination. Examination of 2488 PCR based RAPD markers from 1219 primers revealed nine polymorphic bands between male and female bulked samples. However, linkage analysis indicated that none of these markers were significantly associated with gender. Chisquared results for difference in male-to-female ratios between diploid and triploid genotypes also revealed no significant differences. These findings suggest gender is not controlled via sex chromosomes, simple Mendelian loci or ratios of autosome to gender-determining loci. It is possible that gender is determined genetically by regions of the genome not sampled by the tested markers or by a complex of loci operating in an additive threshold manner or in an epistatic manner. It is also possible that gender is determined environmentally at an early zygote stage, canalizing gender expression.

  7. A study of the distribution and condition of brown shrimp in the primary nursery areas of the Galveston Bay System, Texas

    E-Print Network [OSTI]

    Parker, Jack C

    1966-01-01T23:59:59.000Z

    A STUDY OF THE DISTRIBUTION AND CONDITION OF BROWN SHRIMP IN THE PRIMARY NURSERY AREAS OF THE GALVESTON BAY SYSTEM, TEXAS A Thesis by Jack Clark Parker Submitted to the Graduate College of the Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE May 1966 Major Subject: Biological Oceanography A STUDY OF THE DISTRIBUTION AND CONDITION OF BROHN SHRIMP IN THE PRIMARY NURSERY AREAS OF THE GALVESTON BAY SYSTEM, TEXAS A Thesis Jack Clark Parker...

  8. Maricopa County, Arizona RECORD OF CATEGORICAL EXCLUSION DETERMINATION

    Broader source: Energy.gov (indexed) [DOE]

    replacing 230-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...

  9. Field Testing of Suction Caissons at Bothkennar and Luce Bay G.T. Houlsby, R.B. Kelly, J. Huxtable and B.W. Byrne

    E-Print Network [OSTI]

    Byrne, Byron

    Field Testing of Suction Caissons at Bothkennar and Luce Bay by G.T. Houlsby, R.B. Kelly, J.T. Houlsby, R.B. Kelly, J. Huxtable and B.W. Byrne This report consists of three papers that have resulted.T., Kelly, R.B., Huxtable, J. and Byrne, B.W. Abstract: A programme of testing of caisson foundations

  10. Pinole Creek Watershed Sediment Source Assessment: A sediment budget approach highlighting watershed-scale sediment-related processes and supply to the Bay

    E-Print Network [OSTI]

    Pinole Creek Watershed Sediment Source Assessment: A sediment budget approach highlighting watershed-scale sediment-related processes and supply to the Bay Pearce,S.1 ,McKee,L.1 ,Arnold,C.2 ,and,landowners,stakeholders,agencies and regula- tors are facing many watershed-scale sediment-related issues such as erosion,degraded water

  11. 9/1/14, 8:50 PMFundamentals of Bayesian Epistemology: Syllabus Page 1 of 2http://fitelson.org/bayes/syllabus.html

    E-Print Network [OSTI]

    Fitelson, Branden

    9/1/14, 8:50 PMFundamentals of Bayesian Epistemology: Syllabus Page 1 of 2http://fitelson.org/bayes/syllabus.html Fundamentals of Bayesian Epistemology [ Home ] [ Handouts ] [ Syllabus ] Professor Time & Place Branden of Conditionals and Conditional Probabilities #12;9/1/14, 8:50 PMFundamentals of Bayesian Epistemology: Syllabus

  12. Survival rates of fishes and macroinvertebrates impinged on the vertically revolving intake screens of a power plant on Galveston Bay, Texas

    E-Print Network [OSTI]

    Chase, David Mayo

    1978-01-01T23:59:59.000Z

    on the western side of Galveston Bay near Bacliff, Texas (Fig. 1). The fossil-fueled plant consisted of four generating units: Unit 1, 450 MW; Unit 2, 450 MN; Unit 3, 565 MW; and Unit 4, 750 MV, for a total capacity of 2, 215 NV. Based on manufacturers' name...

  13. Is sea level rise accelerating in the Chesapeake Bay? A demonstration of a novel new approach for analyzing sea level data

    E-Print Network [OSTI]

    Ezer,Tal

    Is sea level rise accelerating in the Chesapeake Bay? A demonstration of a novel new approach are used to test a novel new analysis method for studies of sea level rise (SLR). The method, based of flooding in recent years. Because of sea level rise (SLR), high tides or storm surges that caused little

  14. Photo Identification, Summer Activity Pattern, Estimated Field Metabolic Rate and Territory Quality of Adult Male Sea Otters (Enhydra lutris) in Simpson Bay, Prince William Sound, Alaska

    E-Print Network [OSTI]

    Finerty, Shannon E.

    2010-07-14T23:59:59.000Z

    and energy budgets, and the assessment of male sea otter territory quality. The Sea Otter Nose Matching Program, or "SONMaP", was developed to identify individual sea otters in Simpson Bay, Prince William Sound, Alaska, using a blotch-pattern recognition...

  15. Applied Radiation and Isotopes 58 (2003) 339346 Determination of multi-element profiles of street dust using

    E-Print Network [OSTI]

    Yu, K.N.

    for an area can be used to characterize the heavy metal contamination from atmospheric deposition and to help, Tai Po, Causeway Bay, Central, Kowloon Tong, Tai Wai, Quarry Bay, and the car park of City University

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

    E-Print Network [OSTI]

    Park, Junesoo

    1995-01-01T23:59:59.000Z

    facility (Gulf Coast Waste Disposal Authority) is located north of the Wah Chang Ditch. Consequently there have been concerns about possible metal contamination in this area. I determined trace metal concentrations in water, sediments, and organisms (oyster...

  17. Chlorinated pesticides, polychlorinated biphenyls, and dioxins in colonial nesting waterbirds of Galveston Bay, Texas

    E-Print Network [OSTI]

    Frank, Donell Suzette

    1999-01-01T23:59:59.000Z

    biphenyls (PCBs). Selected eggs were also analyzed for polychlorinated dibenzo-p-dioxins (PCDD), and polychlorinated dibenzofurans (PCDF) to determine differences and similarities in the accumulation of these contaminants among species, and to evaluate...

  18. Ultratrace determination of curium

    SciTech Connect (OSTI)

    Beitz, J.V.

    1995-02-01T23:59:59.000Z

    Development of a method for detection of curium at near single atom levels is being undertaken as a part of the Advanced Concepts Project at Argonne National Laboratory with funding from the US Department of Energy, Office of Arms Control and Nonproliferation. Ultratrace determination of curium, with the ability to quantify the fraction that is curium-242, provides a signature method of detecting clandestine reprocessing of recently irradiated uranium targets. Curium initially present in any of a variety of materials such as air filters, solid or liquid process waste, soil, flora, or fauna can be recovered via current chemical separations processing techniques. Using the ultratrace method being developed, such recovered curium will be quantified with thousand-fold higher sensitivity than the best currently available method which is alpha counting. This high sensitivity arises because, on average, a given trivalent curium (Cm{sup 3+}) ion can emit a very large number of fluorescence photons before alpha decay occurs.

  19. Significant Radionuclides Determination

    SciTech Connect (OSTI)

    Jo A. Ziegler

    2001-07-31T23:59:59.000Z

    The purpose of this calculation is to identify radionuclides that are significant to offsite doses from potential preclosure events for spent nuclear fuel (SNF) and high-level radioactive waste expected to be received at the potential Monitored Geologic Repository (MGR). In this calculation, high-level radioactive waste is included in references to DOE SNF. A previous document, ''DOE SNF DBE Offsite Dose Calculations'' (CRWMS M&O 1999b), calculated the source terms and offsite doses for Department of Energy (DOE) and Naval SNF for use in design basis event analyses. This calculation reproduces only DOE SNF work (i.e., no naval SNF work is included in this calculation) created in ''DOE SNF DBE Offsite Dose Calculations'' and expands the calculation to include DOE SNF expected to produce a high dose consequence (even though the quantity of the SNF is expected to be small) and SNF owned by commercial nuclear power producers. The calculation does not address any specific off-normal/DBE event scenarios for receiving, handling, or packaging of SNF. The results of this calculation are developed for comparative analysis to establish the important radionuclides and do not represent the final source terms to be used for license application. This calculation will be used as input to preclosure safety analyses and is performed in accordance with procedure AP-3.12Q, ''Calculations'', and is subject to the requirements of DOE/RW-0333P, ''Quality Assurance Requirements and Description'' (DOE 2000) as determined by the activity evaluation contained in ''Technical Work Plan for: Preclosure Safety Analysis, TWP-MGR-SE-000010'' (CRWMS M&O 2000b) in accordance with procedure AP-2.21Q, ''Quality Determinations and Planning for Scientific, Engineering, and Regulatory Compliance Activities''.

  20. V.1 AN ANALYSIS OF SIX GROUPS OF ZOOPLANKTON IN SAMPLES TAKEN IN 1978/79 AT THE PROPOSED OTEC SITE IN THE EASTERN GULF OF MEXICO OFF TAMPA BAY

    E-Print Network [OSTI]

    Flock, Mark E.

    2012-01-01T23:59:59.000Z

    conditions at a potential OTEC site in the Gulf of Mexico;in the upper 1000 m at the OTEC station off Tampa Bay. + = OTEC site. Taxon Ahyla spp.

  1. Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit: Annapolis, Maryland. Building America Case Study: Whole-House Solutions for Existing Homes (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-10-01T23:59:59.000Z

    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.

  2. Effects of Prudhoe Bay crude oil in sediment on Abarenicola pacifica in laboratory and field experiments

    SciTech Connect (OSTI)

    Augenfeld, J.M.

    1980-02-01T23:59:59.000Z

    Behavioral responses of organisms are often sensitive indicators of changes in the environment over short time frames. The rate of burrowing of Abarenicola pacifica, a lugworm typical of muddy tidal flats, was studied to determine its response to the presence of hydrocarbons in the environment. If a reduction in burrowing rates is reflected in reduced food intake, a decline in nutritional status might be expected. The level of free amino acids in the tissues was examined as a possible indicator of nutritional status. (ACR)

  3. Analysis of the Body Distribution of Absorbed Dose in the Organs of Three Species of Fish from Sepetiba Bay

    SciTech Connect (OSTI)

    Pereira, Wagner de S [Coordenacao de Protecao Radiologica, Unidade de Tratamento de Minerios, Caixa Postal 961, CEP 37701-970, Pocos de Caldas, MG, BR Industrias Nucleares do Brasil (Brazil); Universidade Federal Fluminense, Programa de Pos-graduacao em Biologia Marinha (Brazil); Kelecom, Alphonse [Universidade Federal Fluminense, Programa de Pos-graduacao em Ciencia Ambiental, Instituto de Geociencias, av. Litoranea s/no, Boa Viagem, 24210-340 Niteroi, RJ Caixa Postal 107.092, CEP 24360-970, Niteroi, RJ (Brazil); Universidade Federal Fluminense, Departamento de Biologia Geral. Laboratorio de Radiobiologia e Radiometria LARARA, Caixa Postal 100.436, CEP 24000-970, Niteroi, RJ (Brazil); Santos Gouvea, Rita de Cassia dos [Universidade Federal Fluminense, Departamento de Biologia Geral. Laboratorio de Radiobiologia e Radiometria LARARA, Caixa Postal 100.436, CEP 24000-970, Niteroi, RJ (Brazil); Azevedo Py Junior, Delcy de [Coordenacao de Protecao Radiologica, Unidade de Concentrado de Uranio, Caixa Postal 7, CEP 46.400-000 Caetite, Bahia, Brasil Industrias Nucleares do Brasil (Brazil)

    2008-08-07T23:59:59.000Z

    The body distribution of Polonium-210 in three fishes from the Sepetiba Bay (Macrodon ancylodon, Micropogonias furnieri and Mugil curema) has been studied under the approach of the Department of Energy of the United States of America (DOE) that set the limit of absorbed dose rate in biota equal to 3.5x10{sup 3} {mu}Gy/y, and that also established the relation between dose rate (D) and radionuclide concentration (c) on a fish muscle fresh weight basis, as follows: D = 5.05 ExNxC, assuming that the radionuclide distribution is homogenous among organs. Two hypotheses were tested here, using statistical tools: 1) is the body distribution of absorbed dose homogenous among organs? and 2) is the body distribution of absorbed dose identical among studied fishes? It was concluded, as expected, that the distribution among organs is heterogeneous; but, unexpectedly, that the three fishes display identical body distribution pattern, although they belong to different trophic levels. Hence, concerning absorbed dose calculation, the statement that data distribution is homogenous must be understood merely as an approximation, at least in the case of Polonium-210.

  4. Effects of Prudhoe Bay reserve pit fluids on water quality and macroinvertebrates of arctic tundra ponds in Alaska

    SciTech Connect (OSTI)

    West, R.L.; Snyder-Conn, E.

    1987-09-01T23:59:59.000Z

    The report summarizes results from the authors` 1983 field study. Although the report should be useful in assessing impacts from reserve pit fluids under Arctic conditions and in evaluating possible management strategies, it was neither intended as an exhaustive study, nor can the results be wholly extrapolated to present-day oil field practices. Since 1983, state regulations concerning reserve pit fluid discharges have become increasingly stringent. Also, some industry practices have changed. For example, chrome lignosulfonate drill muds have been partly replaced by non-chrome lignosulfonates, and diesel oil has been largely replaced with less toxic mineral oil in drilling operations. From 1985 to 1987, the Fish and Wildlife Service began additional studies on Prudhoe Bay reserve pit fluids to examine impacts to tundra pond water, sediment, and biota; to evaluate acute and chronic toxicity through bioassays; and to examine bio-uptake of metals and hygrocarbons by resident species--including invertebrates, sedges, fish, and birds. Reports on these investigations have not yet been prepared, but should also be consulted by the interested reader when they become available.

  5. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, Carol Maryanne (Aiken, SC); Pickett, John Butler (Aiken, SC); Brown, Kevin George (Augusta, GA); Edwards, Thomas Barry (Aiken, SC)

    1998-01-01T23:59:59.000Z

    A process for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, .DELTA.G.sub.p, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, .DELTA.G.sub.a, based upon the free energy associated with weak acid dissociation, .DELTA.G.sub.a.sup.WA, and accelerated matrix dissolution at high pH, .DELTA.G.sub.a.sup.SB associated with solution strong base formation, and determining a final hydration free energy, .DELTA.G.sub.f. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log.sub.10 (N C.sub.i (g/L))=a.sub.i +b.sub.i .DELTA.G.sub.f. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained.

  6. Method of determining glass durability

    DOE Patents [OSTI]

    Jantzen, C.M.; Pickett, J.B.; Brown, K.G.; Edwards, T.B.

    1998-12-08T23:59:59.000Z

    A process is described for determining one or more leachate concentrations of one or more components of a glass composition in an aqueous solution of the glass composition by identifying the components of the glass composition, including associated oxides, determining a preliminary glass dissolution estimator, {Delta}G{sub p}, based upon the free energies of hydration for the component reactant species, determining an accelerated glass dissolution function, {Delta}G{sub a}, based upon the free energy associated with weak acid dissociation, {Delta}G{sub a}{sup WA}, and accelerated matrix dissolution at high pH, {Delta}G{sub a}{sup SB} associated with solution strong base formation, and determining a final hydration free energy, {Delta}G{sub f}. This final hydration free energy is then used to determine leachate concentrations for elements of interest using a regression analysis and the formula log{sub 10}(N C{sub i}(g/L))=a{sub i} + b{sub i}{Delta}G{sub f}. The present invention also includes a method to determine whether a particular glass to be produced will be homogeneous or phase separated. The present invention is also directed to methods of monitoring and controlling processes for making glass using these determinations to modify the feedstock materials until a desired glass durability and homogeneity is obtained. 4 figs.

  7. Determining Cropland Share Rental Arrangements

    E-Print Network [OSTI]

    Dhuyvetter, Kevin C.; Kastens, Terry L.; Outlaw, Joe

    1999-06-23T23:59:59.000Z

    Many crop producers rely heavily on rented land in their farming operations. With this publication, they can learn more about determining crop shares and the principles of crop share leases....

  8. CX-010776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Primary Coolant Leak Rate Determination System Equipment Replacement CX(s) Applied: B2.2 Date: 07/24/2013 Location(s): Idaho Offices(s): Nuclear Energy

  9. National Mining Association Experimental Determination

    E-Print Network [OSTI]

    National Mining Association Experimental Determination of Radon Fluxes over Water #12;Introduction research funded by the National Mining Association (NMA) regarding radon fluxes from water surfaces surfaces at uranium recovery operations are insignificant and approximate background soil fluxes for most

  10. Gender determination of avian embryo

    DOE Patents [OSTI]

    Daum, Keith A. (Idaho Falls, ID); Atkinson, David A. (Idaho Falls, ID)

    2002-01-01T23:59:59.000Z

    Disclosed is a method for gender determination of avian embryos. During the embryo incubation process, the outer hard shells of eggs are drilled and samples of allantoic fluid are removed. The allantoic fluids are directly introduced into an ion mobility spectrometer (IMS) for analysis. The resulting spectra contain the relevant marker peaks in the positive or negative mode which correlate with unique mobilities which are sex-specific. This way, the gender of the embryo can be determined.

  11. CX-011104: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-011104: Categorical Exclusion Determination Coupled Thermo-Mechanical and Photo-Chemical Degradation Mechanisms that Determine the Reliability and...

  12. The growth and survival of brown shrimp (Penaeus aztecus) and blue crabs (Callinectes sapidus) in ponds receiving heated bay water from an electric power plant

    E-Print Network [OSTI]

    Gould, Robert Andrew

    1973-01-01T23:59:59.000Z

    , and John We lch. This research was funded by IIouston Lighting and Pow, . r Com- pany through a grani to the Texas Agricultural L'xperiment Station (Project 1869) . TABLE OF CONTENTS Pacae IN TRODU C TIO N PRESENT STATUS OF THE PROBLEM Summary... . t tlf' t' d C~ ~Ih t populations in shrimp ponds 83 V t' al t df' t' d~C? ' l h . t populations in crab ponds 84 LIST 0 F F I GU RES Number P acre Map showing location of research facilities. Insert sl'ows Galveston Bay system on Texas Gulf coast...

  13. Diatom species composition and abundance in water column assemblages from five drill sites in Prydz Bay, Antarctica, Ocean Drilling Program Leg 119: distributional patterns

    E-Print Network [OSTI]

    Kang, Sung-Ho

    1989-01-01T23:59:59.000Z

    the Maersk Master cruise (ODP Leg 119). A) Site 739, Sta. 1, B) Site 740, St. 8, C)Site 742, St. 11. 104 53. Comparison of mean cell numbers of total empty diatoms between HPMA technique and Utermohl technique 105 54. Comparison of mean cell numbers...DIATOM SPECIES COMPOSITION AND ABUNDANCE IN WATER COLUMN ASSEMBLAGES FROM FIVE DRILL SITES IN PRYDZ BAY, ANTARCTICA, OCEAN DRILLING PROGRAM LEG 119: DISTRIBUTIONAL PATTERNS A Thesis by SUNG-HO KANG Submitted to the Office of Graduate Studies...

  14. CX-001473: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001473: Categorical Exclusion Determination Direct Coal Liquefaction Process Development Date: 04022010 Location(s): Grand Forks, North...

  15. CX-011250: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011250: Categorical Exclusion Determination Transforming Photovoltaic Installations Toward Dispatchable, Schedulable Energy Solutions CX(s) Applied:...

  16. CX-000771: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-000771: Categorical Exclusion Determination New York Revised Narrative Information Worksheet for Energy Efficiency Program for...

  17. CX-006275: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006275: Categorical Exclusion Determination Energy Audit; Efficiency Improvements; and Renewable Energy Installations; Township of...

  18. CX-001459: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-001459: Categorical Exclusion Determination Air Quality VIII: An International Conference on Carbon Management, Mercury, Trace Elements,...

  19. CX-004791: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-004791: Categorical Exclusion Determination Hydroelectric Facility Improvement Project? Automated Intake Cleaning Equipment and Materials...

  20. CX-001276: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001276: Categorical Exclusion Determination Install Photovoltaic Roof System, Energy Efficiency Retrofits, Building Audits, and Hire a Committee...

  1. CX-012136: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-012136: Categorical Exclusion Determination Distributed Fiber Optic Arrays: Integrated Temperature and Seismic Sensing for Detection of Carbon...

  2. CX-011016: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-011016: Categorical Exclusion Determination Distributed Fiber Optic Arrays: Integrated Temperature and Seismic Sensing for Detection of Carbon...

  3. CX-011013: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-011013: Categorical Exclusion Determination Distributed Fiber Optic Arrays: Integrated Temperature and Seismic Sensing for Detection of Carbon...

  4. CX-011017: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-011017: Categorical Exclusion Determination Distributed Fiber Optic Arrays: Integrated Temperature and Seismic Sensing for Detection of Carbon...

  5. CX-001714: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001714: Categorical Exclusion Determination Vehicle Test Location at Bone Yard; National Renewable Energy Laboratory (NREL) Tracking Number...

  6. CX-005153: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005153: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - West Virginia University Research Corporation...

  7. CX-006226: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006226: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  8. CX-000621: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    1: Categorical Exclusion Determination CX-000621: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Alternative Fuel...

  9. CX-003353: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    3: Categorical Exclusion Determination CX-003353: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  10. CX-001996: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-001996: Categorical Exclusion Determination Oklahoma State Energy Program (SEP) American Recovery and Reinvestment Act (ARRA) - Washita...

  11. CX-004060: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-004060: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  12. CX-001998: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-001998: Categorical Exclusion Determination Oklahoma State Energy Program (SEP) American Recovery and Reinvestment Act (ARRA) - Shawnee...

  13. CX-004730: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-004730: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  14. CX-001096: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-001096: Categorical Exclusion Determination Oklahoma State Energy Office Energy Efficiency and Conservation Block Grant National...

  15. CX-007573: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    3: Categorical Exclusion Determination CX-007573: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  16. CX-003498: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-003498: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Newman Memorial...

  17. CX-005432: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-005432: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  18. CX-000619: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-000619: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Metropolitan Tulsa...

  19. CX-006227: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006227: Categorical Exclusion Determination Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  20. CX-008602: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-008602: Categorical Exclusion Determination Oklahoma State Energy Program- Oklahoma Municipal Power Authority Large Systems Request AO...

  1. CX-007412: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-007412: Categorical Exclusion Determination OKLAHOMA State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  2. CX-009009: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009009: Categorical Exclusion Determination "Oklahoma State Energy Program American Recovery and Reinvestment Act - Oklahoma Municipal...

  3. CX-010176: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-010176: Categorical Exclusion Determination Radiation Heat Transfer and Turbulent Fluctuations in Internal Combustion Engines - Toward...

  4. CX-010175: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-010175: Categorical Exclusion Determination Radiation Heat Transfer and Turbulent Fluctuations in Internal Combustion Engines - Toward...

  5. CX-001608: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-001608: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant City of Jacksonville: 6) Metropolitan Government Clean Transportation...

  6. CX-000669: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    69: Categorical Exclusion Determination CX-000669: Categorical Exclusion Determination Illinois Energy Conservation Plan for State Facilities - Capital Development Board Projects...

  7. CX-001074: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001074: Categorical Exclusion Determination Chicago, Illinois American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block...

  8. CX-000670: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    70: Categorical Exclusion Determination CX-000670: Categorical Exclusion Determination Energy Efficiency and Conservation Block Grant State of Illinois Categorical Exclusion...

  9. CX-004469: Categorical Exclusion Determination | Department of...

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

    9: Categorical Exclusion Determination CX-004469: Categorical Exclusion Determination Forest County Potawatomi Community - Community Renewable Energy Deployment - Solar Hot Water...

  10. CX-002686: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    686: Categorical Exclusion Determination CX-002686: Categorical Exclusion Determination Forest County Potawatomi Community- Community Renewable Energy Deployment - Centralized...

  11. CX-001110: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-001110: Categorical Exclusion Determination Fracture Network and Fluid Flow Imaging for Engineered Geothermal Systems Applications from...

  12. CX-005022: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005022: Categorical Exclusion Determination Small Wind Turbine Regional Test Center, Canyon Texas; National Renewable Energy Laboratory Tracking...

  13. CX-003523: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-003523: Categorical Exclusion Determination Small Wind Turbine Regional Test Center Kansas State University; National Renewable Energy Laboratory...

  14. CX-001424: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-001424: Categorical Exclusion Determination Thermal-Hydrological-Mechanical-Chemical Modeling of Enhanced Geothermal System Reservoirs - Continuum through...

  15. CX-002132: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-002132: Categorical Exclusion Determination Seismic Technology Adapted to Analyzing and Developing Geothermal Systems Below...

  16. CX-000616: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-000616: Categorical Exclusion Determination Enhanced Wind Resource Assessment at Naval Station Newport; National Renewable Energy Laboratory...

  17. CX-001915: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    15: Categorical Exclusion Determination CX-001915: Categorical Exclusion Determination Green Vision Community Energy Program and Evergreen Municipal Energy Efficiency Program-...

  18. CX-003975: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003975: Categorical Exclusion Determination State Energy Program - American Recovery and Reinvestment Act Green Jobs Training Program -...

  19. CX-011555: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-011555: Categorical Exclusion Determination Managing Zirconium Chemistry and Phase Compatibility in Combined Process Separations for Minor Actinide...

  20. CX-009310: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009310: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Rock...

  1. CX-009311: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009311: Categorical Exclusion Determination Optimization of Reservoir Storage Capacity in Different Depositional Environments (Champaign)...

  2. CX-005490: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-005490: Categorical Exclusion Determination Thermal Analysis of Radioactive Materials by Thermagravimetric Analysis, Differential Scanning...

  3. CX-011320: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-011320: Categorical Exclusion Determination Continuous Regional Methane Emissions Estimates in Northern Pennsylvania Gas Field Using Atmospheric Inversions...

  4. CX-011319: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-011319: Categorical Exclusion Determination Continuous Regional Methane Emissions Estimates in Northern Pennsylvania Gas Field Using Atmospheric Inversions...

  5. CX-007854: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-007854: Categorical Exclusion Determination Streamlining Solar Standards & Processes: The Southern California Rooftop Solar Challenge CX(s)...

  6. CX-004643: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-004643: Categorical Exclusion Determination Colorado State Energy Program American Recovery and Reinvestment Act - Renewable Ready Grant -...

  7. CX-004707: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-004707: Categorical Exclusion Determination Colorado State Energy Program American Recovery and Reinvestment Act - Commercial Buildings -...

  8. CX-006872: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006872: Categorical Exclusion Determination Colorado State Energy Program American Recovery and Reinvestment Act - Renewable Energy...

  9. CX-009383: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009383: Categorical Exclusion Determination Hybrid Rotor Compression for Multiphase and Liquids-Rich Wellhead Production Applications...

  10. CX-005745: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-005745: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Systems for Utility Power Generation? University of...

  11. CX-005385: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-005385: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Power Systems for Utility Power Generation -Sandia...

  12. CX-002611: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002611: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  13. CX-000462: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-000462: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  14. CX-002609: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002609: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  15. CX-002612: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-002612: Categorical Exclusion Determination Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate...

  16. Determining solar abundances using helioseismology

    E-Print Network [OSTI]

    H. M. Antia; Sarbani Basu

    2006-02-28T23:59:59.000Z

    The recent downward revision of solar photospheric abundances of Oxygen and other heavy elements has resulted in serious discrepancies between solar models and solar structure as determined through helioseismology. In this work we investigate the possibility of determining the solar heavy-element abundance without reference to spectroscopy by using helioseismic data. Using the dimensionless sound-speed derivative in the solar convection zone, we find that the heavy element abundance, Z, of 0.0172 +/- 0.002, which is closer to the older, higher value of the abundances.

  17. CX-008738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Microstructure and Chemical State Changes in Ion-Irradiated Fuels and Structural Components with a High Kinetic Energy Electron Detector – Illinois Institute of Technology CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  18. Modeling Tidal Stream Energy Extraction and its Effects on Transport Processes in a Tidal Channel and Bay System Using a Three-dimensional Coastal Ocean Model

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Wang, Taiping; Copping, Andrea E.

    2013-02-28T23:59:59.000Z

    This paper presents a numerical modeling study for simulating in-stream tidal energy extraction and assessing its effects on the hydrodynamics and transport processes in a tidal channel and bay system connecting to coastal ocean. A marine and hydrokinetic (MHK) module was implemented in a three-dimensional (3-D) coastal ocean model using the momentum sink approach. The MHK model was validated with the analytical solutions for tidal channels under one-dimensional (1-D) conditions. Model simulations were further carried out to compare the momentum sink approach with the quadratic bottom friction approach. The effects of 3-D simulations on the vertical velocity profile, maximum extractable energy, and volume flux reduction across the channel were investigated through a series of numerical experiments. 3-D model results indicate that the volume flux reduction at the maximum extractable power predicted by the 1-D analytical model or two-dimensional (2-D) depth-averaged numerical model may be overestimated. Maximum extractable energy strongly depends on the turbine hub height in the water column, and which reaches a maximum when turbine hub height is located at mid-water depth. Far-field effects of tidal turbines on the flushing time of the tidal bay were also investigated. Model results demonstrate that tidal energy extraction has a greater effect on the flushing time than volume flux reduction, which could negatively affect the biogeochemical processes in estuarine and coastal waters that support primary productivity and higher forms of marine life.

  19. Toeplitz determinants with merging singularities

    E-Print Network [OSTI]

    T. Claeys; I. Krasovsky

    2014-10-28T23:59:59.000Z

    We study asymptotic behavior for determinants of $n\\times n$ Toeplitz matrices corresponding to symbols with two Fisher-Hartwig singularities at the distance $2t\\ge0$ from each other on the unit circle. We obtain large $n$ asymptotics which are uniform for $0gas, and a conjecture of Fyodorov and Keating on the second moment of powers of the characteristic polynomials of random matrices.

  20. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D. (Port Matilda, PA); Burgard, Anthony R. (State College, PA); Pharkya, Priti (State College, PA)

    2011-09-27T23:59:59.000Z

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  1. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costa D; Burgard, Anthony R; Pharkya, Priti

    2013-06-04T23:59:59.000Z

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  2. Determining boiler-water makeup

    SciTech Connect (OSTI)

    Beecher, J.; Herman, K. [Ashland Chemical Co., Boonton, NJ (United States). Drew Industrial Div.

    1995-10-01T23:59:59.000Z

    In boiler operations, it is desirable to determine blowdown--and, thus, the feedwater`s concentration cycles--because it enables operators to calculate the theoretical concentrations of iron, copper or dispersant in the system. These calculations are important for maintaining boiler cleanliness. In practice, however, it isn`t always feasible to determine blowdown. For example, if the steam, feedwater and blowdown flows are not measured in a system, or if the measurements are not accurate, the blowdown and feedwater concentration cycles cannot be accurately determined. Also, if demineralized makeup water with very-low silica concentrations is mixed with essentially silica-free condensate, the ratio of silica in the boiler water to the silica in the feedwater may not yield accurate values for the concentration cycle. This method for calculating concentration cycles is accurate to within 5%, when the accuracy of the parameters measured are within the following limits: steam flow (2%); phosphate, residual (5%); micro calcium (50%); micro iron (25%); and phosphate, feed (10%).

  3. EA-1924: Consolidation and Relocation of Lawrence Berkeley National Laboratory (LBNL) OffSite Research Programs to a New Off-Site Location that also Allows for Future Growth, San Francisco East Bay Area, California

    Broader source: Energy.gov [DOE]

    This EA will evaluate the potential environmental impacts of a proposal to consolidate and relocate LBNL research programs that are currently in leased off-site buildings at various locations around the San Francisco East Bay Area in California, to a new single location that also provides room for future growth of LBNL research programs.

  4. 8/1/14 Google Maps https://www.google.com/maps/dir/Golden+Gate+Bridge,+San+Francisco,+CA+94129/UCSF%2FMission+Bay,+San+Francisco,+CA/@37.7996107,-122.4363906,... 1/2

    E-Print Network [OSTI]

    Derisi, Joseph

    8/1/14 Google Maps https://www.google.com/maps/dir/Golden+Gate+Bridge,+San+Francisco,+CA+94129/UCSF has tolls. Directions from Golden Gate Bridge to UCSF/Mission Bay San Francisco, CA 94129 Golden Gate;8/1/14 Google Maps https://www.google.com/maps/dir/Golden+Gate+Bridge,+San+Francisco,+CA+94129/UCSF%2FMission

  5. Supplemental Fig. S1. vgu operon organization is conserved in enterobacteria. Phylogenetic tree constructed using a Bayesian inference of phylogeny (MrBayes software, 2005) of vguB homologs from select species, which represent the range of vgu distributio

    E-Print Network [OSTI]

    Dangl, Jeff

    Supplemental Fig. S1. vgu operon organization is conserved in enterobacteria. Phylogenetic tree constructed using a Bayesian inference of phylogeny (MrBayes software, 2005) of vguB homologs from select used for the analysis, with their GenBank accession numbers are: >gi|227328790|ref|ZP_03832814.1

  6. Tuesday, May 24, 2011 | Updated 1:52 PM PDT Looks delicious, but certain people should limit their intake of salmon and other fish if caught in San Francisco Bay.

    E-Print Network [OSTI]

    and the subsequent fish toxicity. Overall restrictions on striped bass have relaxed somewhat since 1994, when, striped bass and white sturgeon, according to state officials. Don't Eat The Perch: Toxic Fish List limit their intake of salmon and other fish if caught in San Francisco Bay. By Chris Roberts Feel free

  7. The mineralogy and chemistry of fine-grained sediments, Morphou Bay, CyprusHydrology and Earth System Sciences, 6(5), 819831 (2002) EGS The mineralogy and chemistry of fine-grained sediments,

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    2002-01-01T23:59:59.000Z

    819 The mineralogy and chemistry of fine-grained sediments, Morphou Bay, CyprusHydrology and Earth System Sciences, 6(5), 819­831 (2002) © EGS The mineralogy and chemistry of fine-grained sediments10 8BB, UK Email: cn@ceh.ac.uk Abstract The mineralogy and chemistry of the less than 20µm fraction

  8. San Diego Bay Bibliography

    E-Print Network [OSTI]

    Brueggeman, Peter

    1994-01-01T23:59:59.000Z

    sections. Project on Heavy Metal Pollution in San Diegopollution; fresh water dilution; silt exposure; heavy metals;pollution; fresh water dilution; silt exposure; heavy metals;

  9. Chesapeake Bay Baltimore Beltway

    E-Print Network [OSTI]

    Niebur, Ernst

    International Airport www.bwiairport.com Maryland Transit Administration www.mtamaryland.com Baltimore Fun Guide Marsh BWI / Marshall Airport I-895 JHU Homewood Campus JHU East Baltimore Campus Ellicott City to Philadelphia 2 hours Baltimore to New York City 3.5 hours J Boston· New York City· Philadelphia· Washington, D

  10. Determining sand-body geometries for waterflood reservoirs: Examples from Oklahoma

    SciTech Connect (OSTI)

    Kreisa, R.D.; Pinero, E. (Mobil Research and Development Corp., Dallas, TX (USA))

    1987-02-01T23:59:59.000Z

    Waterflood projects require an accurate knowledge of reservoir geometry and well-to-well continuity. However, sandstones with thin, multiple-pay zones can be extremely difficult to correlate with confidence. Two case studies of Pennsylvanian sandstones in Oklahoma illustrate how a model for the depositional history of such reservoirs can be an effective tool for determining reservoir continuity. In contrast, correlation criteria such as similar wireline log signatures and relative sand-body thicknesses are not reliable in many situations. In Southwest Logan field (Beaver County), 5 to 15-ft thick reservoir sands formed as shallow marine sand ridges. Their dimensions were approximated from height-to-width ratios of modern sand ridges. Then the reservoir sands were mapped using wireline logs and core data. Individual reservoir sands were approximately 1-2 km wide and stacked en echelon vertically. Thus, a line-drive waterflood pattern oriented parallel to the axes of the ridges is recommended. Tatums field (Carter County) consists of 5 to 50-ft thick sandstones deposited in various deltaic environments. Distributary channel sands have good continuity downdip, but are narrow and lenticular across depositional strike. Crevasse splay and other bay-fill sands were deposited marginal to the channels and are extremely discontinuous. This depositional model can be used to improve flood patterns for these sands, leading to improved sweep efficiency. In both examples, for effective mapping, the depositional facies models have been used to register reservoir quality and wireline log signatures.

  11. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

    of Oammittee) Ra A. ietrzch C. J ~) Daru. I (Heai of August l987 Price Detezlainatian for Breeding Bulls. (August 1987) Jerry Carl Namkan, B. S. , Texas A&M University; Chair of Advisory Committee: Dr. Donald E. Ferris A study using two different data... sets was conducted to determine the factors affecting the price of zmg~ Hereford hulls. In the first data set, both ~ and lagged national ~ feeder steer, utility cow, and crude oil prices, and net farm income were analyzed in a regzmsion procedure...

  12. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, D.O.; Burger, A.

    1994-11-22T23:59:59.000Z

    An optically transparent furnace having a detection apparatus with a pedestal enclosed in an evacuated ampule for growing a crystal thereon is disclosed. Temperature differential is provided by a source heater, a base heater and a cold finger such that material migrates from a polycrystalline source material to grow the crystal. A quartz halogen lamp projects a collimated beam onto the crystal and a reflected beam is analyzed by a double monochromator and photomultiplier detection spectrometer and the detected peak position in the reflected energy spectrum of the reflected beam is interpreted to determine surface temperature of the crystal. 3 figs.

  13. Determining $?$ from cluster correlation function

    E-Print Network [OSTI]

    A. Kashlinsky

    1998-06-17T23:59:59.000Z

    It is shown how data on the cluster correlation function can be used in order to reconstruct the density of the pregalactic density field on the cluster mass scale. The method is applied to the data on the cluster correlation amplitude -- richness dependence. The spectrum of the recovered density field has the same shape as the density field derived from data on the galaxy correlation function which is measured as function of linear scales. Matching the two amplitudes relates the mass to the comoving scale it contains and thereby leads to a direct determination of $\\Omega$. The resultant density parameter turns out to be $\\Omega$=0.25.

  14. Structure determination of enterovirus 71

    SciTech Connect (OSTI)

    Plevka, Pavel; Perera, Rushika; Cardosa, Jane; Kuhn, Richard J.; Rossmann, Michael G. (Purdue); (Sentinext)

    2013-02-20T23:59:59.000Z

    Enterovirus 71 is a picornavirus that causes hand, foot and mouth disease but may induce fatal neurological illness in infants and young children. Enterovirus 71 crystallized in a body-centered orthorhombic space group with two particles in general orientations in the crystallographic asymmetric unit. Determination of the particle orientations required that the locked rotation function excluded the twofold symmetry axes from the set of icosahedral symmetry operators. This avoided the occurrence of misleading high rotation-function values produced by the alignment of icosahedral and crystallographic twofold axes. Once the orientations and positions of the particles had been established, the structure was solved by molecular replacement and phase extension.

  15. CX-003701: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    701: Categorical Exclusion Determination CX-003701: Categorical Exclusion Determination Bio-Diesel Cellulosic Ethanol Research Project CX(s) Applied: A9 Date: 09162010...

  16. CX-008797: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    797: Categorical Exclusion Determination CX-008797: Categorical Exclusion Determination Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06042012 Location(s): Tennessee...

  17. CX-009105: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-009105: Categorical Exclusion Determination 284-H Track Coal Hopper Pit Modifications CX(s) Applied: B1.28 Date: 08292012 Location(s): South...

  18. CX-001500: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-001500: Categorical Exclusion Determination Forrest County Geothermal Energy Project CX(s) Applied: B3.1, A9 Date: 04012010 Location(s): Forrest County,...

  19. CX-000940: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-000940: Categorical Exclusion Determination Distributed Generation Wind Power at Navy Sites - Second Meteorological tower at Naval Station Newport, Rhode Island;...

  20. CX-012001: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    01: Categorical Exclusion Determination CX-012001: Categorical Exclusion Determination Meter Installation at Fossil Lake Solar Project CX(s) Applied: B1.7 Date: 04242014...

  1. CX-012193: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-012193: Categorical Exclusion Determination "Slatt Substation Meter and Communication Equipment Installation CX(s) Applied: B1.7 Date: 05052014...

  2. CX-000016: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-000016: Categorical Exclusion Determination Ross-Lexington 1 Meter Project CX(s) Applied: B3.1 Date: 12172009 Location(s): Vancouver, Washington...

  3. CX-010133: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-010133: Categorical Exclusion Determination Establish Digital Density Meter Analytical Capability in 735-A, D-wing CX(s) Applied: B3.6 Date: 03112013...

  4. CX-010740: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-010740: Categorical Exclusion Determination Integration of Behind-the-Meter Photovoltaic Fleet Forecasts into Utility Grid System Operations CX(s) Applied: A9,...

  5. CX-000374: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-000374: Categorical Exclusion Determination Novel Sorbents for Emission Control from Coal Combustion CX(s) Applied: B3.6 Date: 12112009 Location(s):...

  6. CX-004126: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-004126: Categorical Exclusion Determination Machine Shop Equipment Burn CX(s) Applied: B1.12 Date: 08022010 Location(s): New Mexico...

  7. CX-008803: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-008803: Categorical Exclusion Determination Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05142012 Location(s): Tennessee...

  8. CX-006593: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-006593: Categorical Exclusion Determination Vermont Biofuels Initiative: Renewable Energy Resources CDP-09 CX(s) Applied: B5.1 Date: 08292011 Location(s):...

  9. CX-011482: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-011482: Categorical Exclusion Determination Obtain soil samples for potential D-Area borrow sources CX(s) Applied: B6.1 Date: 11072013...

  10. CX-004198: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-004198: Categorical Exclusion Determination Lurance Canyon Burn Site Soil and Groundwater Site Characterization CX(s) Applied: B3.1 Date: 06142010 Location(s):...

  11. CX-008632: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-008632: Categorical Exclusion Determination Sampling of Soil Vapor Extraction Wells at the Western Sector Dynamic Underground Stripping System CX(s)...

  12. CX-005672: Categorical Exclusion Determination | Department of...

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

    672: Categorical Exclusion Determination CX-005672: Categorical Exclusion Determination Energy Systems Integration Facility Excavation Soil Stockpile CX(s) Applied: B1.15 Date: 04...

  13. CX-006710: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006710: Categorical Exclusion Determination Binary Power Unit Test (Recurrent Engineering LLC, Geothermal Test) CX(s) Applied: B5.1 Date: 08...

  14. CX-009133: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-009133: Categorical Exclusion Determination New York Program Year 2012 Formula Grants - State Energy Program CX(s) Applied: A9, A11 Date:...

  15. CX-000935: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Determination CX-000935: Categorical Exclusion Determination Onondaga County, New York Energy Efficiency and Conservation Block Grant - American Recovery and Reinvestment Act...

  16. CX-002167: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-002167: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  17. CX-002168: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-002168: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  18. CX-001088: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Exclusion Determination CX-001088: Categorical Exclusion Determination City of New York American Recovery and Reinvestment Act - Energy Efficiency and Conservation Block Grant...

  19. CX-006748: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-006748: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...

  20. CX-007020: Categorical Exclusion Determination | Department of...

    Broader source: Energy.gov (indexed) [DOE]

    Categorical Exclusion Determination CX-007020: Categorical Exclusion Determination New York State Alternative Fuel Vehicle and Infrastructure Deployment CX(s) Applied: B5.1 Date:...