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Note: This page contains sample records for the topic "map region bay" from the National Library of EnergyBeta (NLEBeta).
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We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Regional Maps  

Annual Energy Outlook 2012 (EIA)

United States Census Divisions Figure 2.Electricity Market Module (EMM)Regions Source: Energy Information Administration, Office of Integrated Analysis and Forecasting Figure...

2

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships  

E-Print Network (OSTI)

MAPPING OUR UNDERWATER MARINE RESOURCES The MapCoast and BayMap Partnerships BAYMAP: CHARTING communities and underwater archaeological sites in a readily accessible GIS format. An interdisciplinary team underwater resources, including bathymetry, habitat, geology, soils/ sediment, and archeological resources

Wang, Y.Q. "Yeqiao"

3

California South/West Bay Area Regional Middle School Science...  

Office of Science (SC) Website

California SouthWest Bay Area Regional Middle School Science Bowl National Science Bowl (NSB) NSB Home About High School Middle School Middle School Students Middle School...

4

Recognition of Abstract Regions in Cartographic Maps  

Science Conference Proceedings (OSTI)

In the human interpretation of cartographic maps the areas we shall call abstract regions consist of several symbols (map objects), which are grouped to a single object. This abstraction process is an important part of human map interpretation. Abstract ... Keywords: cognitive modeling, formal methods, map generalization, map interpretation, region abstraction, spatial concepts

Joe Heike Steinhauer; Tom Wiese; Christian Freksa; Thomas Barkowsky

2001-09-01T23:59:59.000Z

5

Ocean Map Regional | Data.gov  

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

Regional Regional Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Featured Maps The following maps are from data sources that are regional in scope. These are some of the data sources available in the Ocean Community that are most useful in the identified region. This includes several of the human use atlases now available. Regional/State Maps .view-map-gallery .views-row { float: inherit; margin: 0; } .map-align { float: left; margin: 0 20px; } .map-gallery-thumbnail{width:202px;height:133px;} .pane-map-gallery h2.pane-title { color: #284A78 !important; font: bold 16px Georgia,"Times New Roman",Serif !important; margin-left: 25px !important; } Oregon Submarine Cables Marine Reserves and Protected areas of Oregon

6

Modeling AirLandSea Interactions Using the Integrated Regional Model System in Monterey Bay, California  

Science Conference Proceedings (OSTI)

The airlandsea interaction in the vicinity of Monterey Bay, California, is simulated and investigated using a new Integrated Regional Model System (I-RMS). This new model realistically resolves coastal processes and submesoscale features that ...

Yu-Heng Tseng; Shou-Hung Chien; Jiming Jin; Norman L. Miller

2012-04-01T23:59:59.000Z

7

California South/West Bay Area Regional Middle School Science Bowl  

Office of Science (SC) Website

California South/West California South/West Bay Area Regional Middle School Science Bowl National Science Bowl® (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and Resources Attending National Event Volunteers 2013 Competition Results News Media WDTS Home Contact Information National Science Bowl® U.S. Department of Energy SC-27/ Forrestal Building 1000 Independence Ave., SW Washington, DC 20585 P: 202-586-6702 E: National.Science.Bowl@science.doe.gov California Regions California South/West Bay Area Regional Middle School Science Bowl Print Text Size: A A A RSS Feeds FeedbackShare Page Regional Coordinator Information Name: Ray Ng Email: RayNg97@gmail.com Regional Event Information Date: Saturday, March 8, 2014

8

Barotropic and Baroclinic M2 Tides in the Monterey Bay Region  

Science Conference Proceedings (OSTI)

A high-resolution (250 m) primitive equation model is used to simulate the depth-averaged and baroclinic M2 tides in the Monterey Bay region. The model shows a high level of skill in comparisons with sea level observations. ADCP current ...

G. S. Carter

2010-08-01T23:59:59.000Z

9

Appendix C: Map of NEMS Electricity Market Module Regions  

Annual Energy Outlook 2012 (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix C: Map of NEMS Electricity Market Module Regions...

10

Appendix C. Map of NEMS Electricity Market Module Regions  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Hall Appendix C. Map of NEMS Electricity Market Module Regions...

11

Coos Bay Field Gulf Coast Coal Region Williston Basin Illinois  

Gasoline and Diesel Fuel Update (EIA)

San Juan Basin C e n t r a l A p p a l a c h i a n B a s i n Michigan Basin Greater Green River Basin Black Warrior Basin North Central Coal Region Arkoma Basin Denver Basin...

12

Aircraft Regional-Scale Flux Measurements over Complex Landscapes of Mangroves, Desert, and Marine Ecosystems of Magdalena Bay, Mexico  

Science Conference Proceedings (OSTI)

Natural ecosystems are rarely structurally simple or functionally homogeneous. This is true for the complex coastal region of Magdalena Bay, Baja California Sur, Mexico, where the spatial variability in ecosystem fluxes from the Pacific coastal ...

Rommel C. Zulueta; Walter C. Oechel; Joseph G. Verfaillie; Steven J. Hastings; Beniamino Gioli; William T. Lawrence; Kyaw Tha Paw U

2013-07-01T23:59:59.000Z

13

Field Mapping At Cascades Region (Ingebritsen & Mariner, 2010) | Open  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Field Mapping At Cascades Region (Ingebritsen & Mariner, 2010) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Cascades Region (Ingebritsen & Mariner, 2010) Exploration Activity Details Location Cascades Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness not indicated DOE-funding Unknown References S. E. Ingebritsen, R. H. Mariner (2010) Hydrothermal Heat Discharge In The Cascade Range, Northwestern United States Retrieved from "http://en.openei.org/w/index.php?title=Field_Mapping_At_Cascades_Region_(Ingebritsen_%26_Mariner,_2010)&oldid=510730"

14

Bay Area | Open Energy Information  

Open Energy Info (EERE)

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

15

Potential Prediction of Favorable Regions about Coal Resources Based on MapGIS in Taiqian Region  

Science Conference Proceedings (OSTI)

MapGIS has been widely applied to many fields in geological discipline as a maturely GIS. Its powerful graphic editing and comprehensive snalysis of spatial data functions make it possible to applied to potential prediction of coal. This paper mainly ... Keywords: MapGIS, Taiqian Region, coal resources, potential prediction

Chen Kuikui; Zhang Chong

2012-05-01T23:59:59.000Z

16

U.S. Census Regions and Divisions Map for Commercial Buildings  

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

Background Information on CBECS > Census Regions and Divisions Map U. S. Census Regions and Divisions: Map of the U.S. Census Regions and Divisions Return to CBECS Home Page...

17

Climate Change, Justice, and Adaptation among African American Communities in the Chesapeake Bay Region  

Science Conference Proceedings (OSTI)

In this paper, the authors present results from a study of climate change and community adaptation, focusing on two African American communities on the Eastern Shore of the Chesapeake Bay. These two communities are representative of small, ...

Michael Paolisso; Ellen Douglas; Ashley Enrici; Paul Kirshen; Chris Watson; Matthias Ruth

2012-01-01T23:59:59.000Z

18

Chesapeake Bay Program Water Quality Database | Data.gov  

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

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

19

EPRI Freezing Rain Ice Mapping Project: Region 4  

Science Conference Proceedings (OSTI)

To ensure reliable electric service, accurate predictions of ice loads are needed for the design and evaluation of new and existing transmission lines. This report presents ice load maps for the states of North and South Dakota and documents the methodology used to generate them.

1997-12-19T23:59:59.000Z

20

Putting Schools on the Map: Linking Transit-Oriented Development, Families, and Schools in the San Francisco Bay Area  

E-Print Network (OSTI)

leadership/trends/transit/ Putting Schools on the MapDC: APA/AICP. Putting Schools on the Map transit. Access toconsistent arrival at school, reducing problems of truancy

Bierbaum, Ariel H; Vincent, Jeffrey M; McKoy, Deborah L

2010-01-01T23:59:59.000Z

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


21

Regional Resource Area Mapping In Nevada Using The Usarray Seismic Network  

Open Energy Info (EERE)

Regional Resource Area Mapping In Nevada Using The Usarray Seismic Network Regional Resource Area Mapping In Nevada Using The Usarray Seismic Network Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Regional Resource Area Mapping In Nevada Using The Usarray Seismic Network Details Activities (4) Areas (4) Regions (0) Abstract: The Earthscope Transportable Array (TA) seismic network is a significant new development for regional seismic velocity modeling and potential geothermal resource development. While very sparse compared to exploration scale applications, this network nevertheless affords regional modelers with unprecedented resolution and uniformity of coverage. The network is funded by the National Science Foundation through a major earth sciences initiative called Earthscope (www.earthscope.org). The network is

22

MAP D-PHASE: Real-Time Demonstration of Weather Forecast Quality in the Alpine Region  

Science Conference Proceedings (OSTI)

Demonstration of probabilistic hydrological and atmospheric simulation of flood events in the Alpine region (D-PHASE) is made by the Forecast Demonstration Project in connection with the Mesoscale Alpine Programme (MAP). Its focus lies in the end-...

Mathias W. Rotach; Paolo Ambrosetti; Christof Appenzeller; Marco Arpagaus; Lionel Fontannaz; Felix Fundel; Urs Germann; Alessandro Hering; Mark A. Liniger; Marco Stoll; Andre Walser; Felix Ament; Hans-Stefan Bauer; Andreas Behrendt; Volker Wulfmeyer; Franois Bouttier; Yann Seity; Andrea Buzzi; Silvio Davolio; Matteo Corazza; Michael Denhard; Manfred Dorninger; Theresa Gorgas; Jacqueline Frick; Christoph Hegg; Massimiliano Zappa; Christian Keil; Hans Volkert; Chiara Marsigli; Andrea Montaini; Ron McTaggart-Cowan; Ken Mylne; Roberto Ranzi; Evelyne Richard; Andrea Rossa; Daniel Santos-Muoz; Christoph Schr; Michael Staudinger; Yong Wang; Johannes Werhahn

2009-09-01T23:59:59.000Z

23

Field Mapping At Nw Basin & Range Region (Shevenell, Et Al., 2008) | Open  

Open Energy Info (EERE)

Field Mapping At Nw Basin & Range Region (Shevenell, Field Mapping At Nw Basin & Range Region (Shevenell, Et Al., 2008) Exploration Activity Details Location Northwest Basin and Range Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness could be useful with more improvements DOE-funding Unknown Notes On a more local scale, Faulds et al. (2003, 2005a, 2005b, 2006) have conducted structural analysis and detailed geologic mapping at a number of sites throughout Nevada and have found that productive geothermal systems typically occur in one of several structural settings, including step-overs in normal fault zones, near the ends of major normal faults where the faults break into multiple splays, in belts of overlapping faults, at fault intersections, and in small pull aparts along strike-slip faults.

24

Field Mapping At Walker-Lane Transitional Zone Region (Shevenell, Et Al.,  

Open Energy Info (EERE)

Walker-Lane Transitional Zone Region (Shevenell, Et Al., Walker-Lane Transitional Zone Region (Shevenell, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Walker-Lane Transitional Zone Region (Shevenell, Et Al., 2008) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness could be useful with more improvements DOE-funding Unknown Notes On a more local scale, Faulds et al. (2003, 2005a, 2005b, 2006) have conducted structural analysis and detailed geologic mapping at a number of sites throughout Nevada and have found that productive geothermal systems typically occur in one of several structural settings, including step-overs in normal fault zones, near the ends of major normal faults where the

25

Field Mapping At Northern Basin & Range Region (Shevenell, Et Al., 2008) |  

Open Energy Info (EERE)

Northern Basin & Range Region (Shevenell, Et Al., 2008) Northern Basin & Range Region (Shevenell, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Northern Basin & Range Region (Shevenell, Et Al., 2008) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness could be useful with more improvements DOE-funding Unknown Notes On a more local scale, Faulds et al. (2003, 2005a, 2005b, 2006) have conducted structural analysis and detailed geologic mapping at a number of sites throughout Nevada and have found that productive geothermal systems typically occur in one of several structural settings, including step-overs in normal fault zones, near the ends of major normal faults where the

26

Field Mapping At Northern Basin & Range Region (Blewitt, Et Al., 2003) |  

Open Energy Info (EERE)

Blewitt, Et Al., 2003) Blewitt, Et Al., 2003) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Northern Basin & Range Region (Blewitt, Et Al., 2003) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness could be useful with more improvements DOE-funding Unknown References Geoffrey Blewittl, Mark F. Coolbaugh, Don Sawatzky, William Holt, James Davis, Richard A. Bennett (2003) Targeting Of Potential Geothermal Resources In The Great Basin From Regional To Basin-Scale Relationship Between Geodetic Strain And Geological Structures Retrieved from "http://en.openei.org/w/index.php?title=Field_Mapping_At_Northern_Basin_%26_Range_Region_(Blewitt,_Et_Al.,_2003)&oldid=510749"

27

Far infrared mapping of three Galactic star forming regions W3(OH), S 209 & S 187  

E-Print Network (OSTI)

Three Galactic star forming regions associated with W3(OH), S209 and S187 have been simultaneously mapped in two trans-IRAS far infrared (FIR) bands centered at ~ 140 and 200 micron using the TIFR 100 cm balloon borne FIR telescope. These maps show extended FIR emission with structures. The HIRES processed IRAS maps of these regions at 12, 25, 60 & 100 micron have also been presented for comparison. Point-like sources have been extracted from the longest waveband TIFR maps and searched for associations in the other five bands. The diffuse emission from these regions have been quantified, which turns out to be a significant fraction of the total emission. The spatial distribution of cold dust (T < 30 K) for two of these sources (W3(OH) & S209), has been determined reliably from the maps in TIFR bands. The dust temperature and optical depth maps show complex morphology. In general the dust around S209 has been found to be warmer than that in W3(OH) region.

Ghosh, S K; Rengarajan, T N; Tandon, S N; Verma, R P

2001-01-01T23:59:59.000Z

28

Far infrared mapping of three Galactic star forming regions : W3(OH), S 209 & S 187  

E-Print Network (OSTI)

Three Galactic star forming regions associated with W3(OH), S209 and S187 have been simultaneously mapped in two trans-IRAS far infrared (FIR) bands centered at ~ 140 and 200 micron using the TIFR 100 cm balloon borne FIR telescope. These maps show extended FIR emission with structures. The HIRES processed IRAS maps of these regions at 12, 25, 60 & 100 micron have also been presented for comparison. Point-like sources have been extracted from the longest waveband TIFR maps and searched for associations in the other five bands. The diffuse emission from these regions have been quantified, which turns out to be a significant fraction of the total emission. The spatial distribution of cold dust (T < 30 K) for two of these sources (W3(OH) & S209), has been determined reliably from the maps in TIFR bands. The dust temperature and optical depth maps show complex morphology. In general the dust around S209 has been found to be warmer than that in W3(OH) region.

S. K. Ghosh; B. Mookerjea; T. N. Rengarajan; S. N. Tandon; R. P. Verma

2001-08-06T23:59:59.000Z

29

Field Mapping At U.S. West Region (Laney, 2005) | Open Energy Information  

Open Energy Info (EERE)

Field Mapping At U.S. West Region (Laney, 2005) Field Mapping At U.S. West Region (Laney, 2005) Exploration Activity Details Location U.S. West Region Exploration Technique Field Mapping Activity Date Usefulness useful DOE-funding Unknown Notes Characterization and Conceptual Modeling of Magmatically-Heated and Deep-Circulation, High-Temperature Hydrothermal Systems in the Basin and Range and Cordilleran United States, Moore, Nash, Nemcok, Lutz, Norton, Kaspereit, Berard, van de Putte, Johnson and Deymonaz. Utilizing a wealth of formerly proprietary subsurface samples and datasets for exemplary high-temperature western U.S. geothermal systems, develop and publish detailed and refined new conceptual and numerical hydrothermal-history models of fundamental scientific import but, more importantly, of use to

30

Field Mapping At Nw Basin & Range Region (Blewitt, Et Al., 2003) | Open  

Open Energy Info (EERE)

Nw Basin & Range Region (Blewitt, Et Nw Basin & Range Region (Blewitt, Et Al., 2003) Exploration Activity Details Location Northwest Basin and Range Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness could be useful with more improvements DOE-funding Unknown References Geoffrey Blewittl, Mark F. Coolbaugh, Don Sawatzky, William Holt, James Davis, Richard A. Bennett (2003) Targeting Of Potential Geothermal Resources In The Great Basin From Regional To Basin-Scale Relationship Between Geodetic Strain And Geological Structures Retrieved from "http://en.openei.org/w/index.php?title=Field_Mapping_At_Nw_Basin_%26_Range_Region_(Blewitt,_Et_Al.,_2003)&oldid=510752" Categories: Exploration Activities DOE Funded Activities What links here Related changes Special pages

31

Regional Maps  

Gasoline and Diesel Fuel Update (EIA)

1 East Central Area Reliability Coordination Agreement (ECAR) 1 East Central Area Reliability Coordination Agreement (ECAR) 2 Electric Reliability Council of Texas (ERCOT) 3 Mid-Atlantic Area Council (MAAC) 4 Mid-America Interconnected Network (MAIN) 5 Mid-Continent Area Power Pool (MAPP) 6. New York (NY) Southern Nevada (RA) 7. New England (NE) 8 Florida Reliability Coordinating Council (FL) 9 Southeastern Electric Reliability Council (SERC) 10 Southwest Power Pool (SPP) 11 Northwest Power Pool (NWP) 12. Rocky Mountain Power Area, Arizona, New Mexico, and 13 California (CA) Source: Energy Information Administration. Office of Integrated Analysis and Forecasting Figure 3. Petroleum Administration for Defense Districts Source: Energy Information Administration. Office of Integrated Analysis and Forecasting AK WA NV

32

Regional Maps  

Gasoline and Diesel Fuel Update (EIA)

Carolina Mountain Division 2 West North Central Virginia Middle Atlantic West Virginia Arizona Iowa Colorado New Jersey Kansas Division 6 Idaho New York Minnesota East South...

33

Field Mapping At Northern Basin and Range Geothermal Region (1993) | Open  

Open Energy Info (EERE)

Geothermal Region (1993) Geothermal Region (1993) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Northern Basin and Range Geothermal Region (1993) Exploration Activity Details Location Northern Basin and Range Geothermal Region Exploration Technique Field Mapping Activity Date 1993 Usefulness not indicated DOE-funding Unknown Notes New apatite fission track cooling age and track length data, supplemented by other information, point to the Early to Middle Miocene as an additional time of very significant extension-induced uplift and range formation. Many ranges in a 700-km-long north-south corridor from the Utah-Nevada-Idaho border to southernmost Nevada experience extension and major exhumation in Early to Middle Miocene time. Reconnaissance apatite ages from the Toiyabe

34

Field Mapping At Central Nevada Seismic Zone Region (Shevenell, Et Al.,  

Open Energy Info (EERE)

Shevenell, Et Al., Shevenell, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Central Nevada Seismic Zone Region (Shevenell, Et Al., 2008) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness could be useful with more improvements DOE-funding Unknown Notes On a more local scale, Faulds et al. (2003, 2005a, 2005b, 2006) have conducted structural analysis and detailed geologic mapping at a number of sites throughout Nevada and have found that productive geothermal systems typically occur in one of several structural settings, including step-overs in normal fault zones, near the ends of major normal faults where the faults break into multiple splays, in belts of overlapping faults, at fault

35

Aerial Thermal Infrared Mapping Of The Waimangu-Waiotapu Geothermal Region,  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Aerial Thermal Infrared Mapping Of The Waimangu-Waiotapu Geothermal Region, New Zealand - M A Mongillo, Geothermics, 23(5-6), 1994, Pp 511-526 Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Aerial Thermal Infrared Mapping Of The Waimangu-Waiotapu Geothermal Region, New Zealand - M A Mongillo, Geothermics, 23(5-6), 1994, Pp 511-526 Details Activities (0) Areas (0) Regions (0) Abstract: Unavailable Author(s): Unknown Published: International Journal of Rock Mechanics and Mining Science & Geomechanics Abstracts, 1995 Document Number: Unavailable

36

San Diego Bay Bibliography  

E-Print Network (OSTI)

SDGE power plant; bay ABSTRACT: The marine organisms ofMarine Research KEYWORDS: San Diego Bay; programs; bay South Bay PowerMarine Organisms of South San Diego Bay and the Ecological Effects of Power

Brueggeman, Peter

1994-01-01T23:59:59.000Z

37

Maps  

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

Maps Maps Maps Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Contact LANL Directory 667-5061 Badge Office (505) 667-6901 Email Institutional Visits and Events (505) 667-2222 Location and directions How to get to LANL Los Alamos is located in Northern New Mexico about 35 miles (about 40 minutes drive) northwest of Santa Fe and 1 hour and 45 minutes drive from Albuquerque. Laboratory facilities can be found in 50 different work areas that are spread across 36 square miles. Below is the general location of the Otowi Building, Badge Office, cafeteria, and Research Library. V Screen reader users: click here for plain HTML Go to Google Maps Home Casa Grande Drive, Los Alamos, NM

38

SPECTRAL PROPERTIES OF REGIONS AND STRUCTURES IN THE INTERSTELLAR BOUNDARY EXPLORER (IBEX) SKY MAPS  

SciTech Connect

We study the spectral properties of different regions and structures in the energetic neutral atom (ENA) maps at energies from {approx}0.5 keV to {approx}6 keV from the Interstellar Boundary Explorer (IBEX) mission. We find that (1) an ankle-shaped break (spectrum hardens) between {approx}1 keV and {approx}2 keV characterizes the polar spectra and the right flank, while a knee-shaped break (spectrum softens) describes the ribbon, nose, and the front region spectra; (2) the spectral indices across full latitudinal range (tail and poles) comprise a dependence reflecting a knee break at mid latitudes and an ankle break at high latitudes. This latitudinal evolution has inflection points at {approx}40 deg. S and {approx}36 deg. N, and is strongly correlated with the solar wind speed structure obtained by the Ulysses/SWOOPS instrument during its fast latitude scan in 2007. Our study confirms that the ecliptic latitude predominantly orders the spectral signatures of ENA distributions. This ordering may reflect the average solar wind properties that vary characteristically with latitude around solar minimum. We report on the spectral analyses of six regions and two structures in the IBEX maps. We also discuss the spectral asymmetries between the north and the south polar regions, their correlation with solar wind measurements, and the implications of these observations. Thus, we show detailed connections between the IBEX energy spectra and latitudinal properties of solar wind.

Dayeh, M. A.; McComas, D. J.; Livadiotis, G.; Ebert, R. W.; Schwadron, N. A. [Southwest Research Institute, San Antonio, TX 78228 (United States); Funsten, H. O. [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Janzen, P.; Reisenfeld, D. B., E-mail: maldayeh@swri.edu [University of Montana, Department of Physics and Astronomy, Missoula, MT 59812 (United States)

2011-06-10T23:59:59.000Z

39

Vermilion Bay | Open Energy Information  

Open Energy Info (EERE)

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

40

Carbon Sequestration Atlas and Interactive Maps from the Southwest Regional Partnership on Carbon Sequestration  

DOE Data Explorer (OSTI)

In November of 2002, DOE announced a global climate change initiative involving joint government-industry partnerships working together to find sensible, low cost solutions for reducing GHG emissions. As a result, seven regional partnerships were formed; the Southwest Regional Partnership on Carbon Sequestration (SWP) is one of those. These groups are utilizing their expertise to assess sequestration technologies to capture carbon emissions, identify and evaluate appropriate storage locations, and engage a variety of stakeholders in order to increase awareness of carbon sequestration. Stakeholders in this project are made up of private industry, NGOs, the general public, and government entities. There are a total of 44 current organizations represented in the partnership including electric utilities, oil and gas companies, state governments, universities, NGOs, and tribal nations. The SWP is coordinated by New Mexico Tech and encompasses New Mexico, Arizona, Colorado, Oklahoma, Utah, and portions of Kansas, Nevada, Texas, and Wyoming. Field test sites for the region are located in New Mexico (San Juan Basin), Utah (Paradox Basin), and Texas (Permian Basin).[Taken from the SWP C02 Sequestration Atlas] The SWP makes available at this website their CO2 Sequestration Atlas and an interactive data map.

McPherson, Brian

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


41

Reverberation mapping and the disk wind model of the broad line region  

E-Print Network (OSTI)

Using the disk wind model of Murray et al. (1995), we calculate line profiles and frequency-resolved response functions for broad line emission from the surface of an accretion disk in an AGN in the presence of a radiatively driven wind. We find that the combined effects of the shears in the wind and in the disk itself produce anisotropic line emission which solves several well-known problems connected with disk models of the broad line region. In particular, the broadening of resonance lines such as \\Civ, \\Lya, and \\Nv\\/ can be attributed to orbital motion of the disk gas at radii as close as \\sim 10^{16}~cm in Seyferts without requiring unrealistically large emission regions in order to produce single-peaked profiles. Furthermore, the anisotropy of the line emission results in frequency-dependent response functions which are no longer red-blue symmetric so that the time delays inferred for the various red and blue components of the line agree qualitatively with recent reverberation mapping observations of N...

Chiang, J

1995-01-01T23:59:59.000Z

42

Felton Bay Logistics, LLC | Open Energy Information  

Open Energy Info (EERE)

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

43

Tuscola Bay Wind | Open Energy Information  

Open Energy Info (EERE)

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

44

Chesapeake Bay Test Site | Open Energy Information  

Open Energy Info (EERE)

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

45

Composite Predictor Maps of Extraordinary Weather Events in the Sacramento, California, Region  

Science Conference Proceedings (OSTI)

Extraordinary weather events in the Sacramento, California, region are examined using a simple compositing technique. The extraordinary events identified are uncommon and the worst of their kind, but not necessarily severe. While the criteria ...

Richard Grotjahn; Ghislain Faure

2008-06-01T23:59:59.000Z

46

From waterfront to watershed : mapping a big idea in the Greater Toronto Region  

E-Print Network (OSTI)

Today, Toronto is revered among Great Lakes' and waterfront cities for its environmental planning: its massive re-investment in water and stormwater infrastructure; protected headwaters of the region's rivers; realized ...

Ciesielski, Linda C. (Linda Claire)

2011-01-01T23:59:59.000Z

47

Bristol Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

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

48

Household energy and consumption and expenditures, 1990. [Contains Division, Census Region, and Climate Zone maps  

Science Conference Proceedings (OSTI)

The purpose of this supplement to the Household Energy Consumption and Expenditures 1990 report is to provide information on the use of energy in residential housing units, specifically at the four Census regions and nine Census division levels. This report includes household energy consumption, expenditures, and prices for natural gas, electricity, fuel oil, liquefied petroleum gas (LPG), and kerosene as well as household wood consumption. For national-level data, see the main report, Household Energy Consumption and Expenditures 1990.

Not Available

1993-03-02T23:59:59.000Z

49

Ocean Map | Data.gov  

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

Map Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Map Gallery Planning for ocean, coastal, and Great...

50

Glacier Bay Inc | Open Energy Information  

Open Energy Info (EERE)

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

51

Linking public health and the health of the Chesapeake Bay  

Science Conference Proceedings (OSTI)

The Chesapeake Bay has a profound impact on the lives of all who reside in the 64,000 square miles of its watershed. From crab cakes to sailboats, drinking water to naval ships, the Bay touches virtually every aspect of life in the region. The Bay has inspired literature, driven the regional economy, and shaped political decision making and development patterns for homes, industry, agriculture, and transportation. As population demands increase and urban boundaries expand into pristine landscapes, the sustainability of the Chesapeake Bay and its resources face unprecedented pressures. Consequently, the public's health also is vulnerable to Bay pollution and other stresses stemming from development activities and widespread growth occurring throughout the Chesapeake Bay watershed. This paper will examine the linkages between the environmental quality of the Bay and the population health status, recommend ways to bridge ecological and human health concerns in the context of the Bay, and finally present a framework for developing a public health report card for the Bay.

Burke, T.A.; Litt, J.S.; Fox, M.A.

2000-02-01T23:59:59.000Z

52

Hooper Bay Wind Farm | Open Energy Information  

Open Energy Info (EERE)

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

53

Cleveland Bay Wind Farm | Open Energy Information  

Open Energy Info (EERE)

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

54

Fig1. The location of Metsamor Nuclear Power Plant and regions of Turkey with cities. Fig2. Map showing the study area.  

E-Print Network (OSTI)

Fig1. The location of Metsamor Nuclear Power Plant and regions of Turkey with cities. #12;Fig2. Map of 30 years. The dot shows the location of the Metsamor NPP. Each number indicates a selected city over Europe after the Chernobyl nuclear accident. Numbers 1-8 represent plume arrival times

Chen, Shu-Hua

55

Mapping the spatial and temporal SST variations in the Red Sea, revealing a probable regional geothermal anomaly using Pathfinder V5 data  

Science Conference Proceedings (OSTI)

The idea is presented that satellite-derived night-time thermal maps can be used for the identification of regional sea surface temperature (SST) anomalies that may be related to geothermal processes. The analysis of night-time monthly Pathfinder V5 ...

George Ch. Miliaresis; Karen St. Seymour

2011-04-01T23:59:59.000Z

56

Surface Currents and Winds at the Delaware Bay Mouth  

SciTech Connect

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

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

2011-04-06T23:59:59.000Z

57

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

E-Print Network (OSTI)

Knowledge of surface sediment distribution in Galveston Bay is important because it allows us to better understand how the bay works and how human activities impact the bay and its ecosystems. In this project, six areas of bay bottom were surveyed using acoustic techniques to make maps of bay bottom types and to investigate the types and extent of anthropogenic impacts. A total of 31 km2 was surveyed in six areas, one in Bolivar Roads (6.1 km2), one near Redfish Bar (3.1 km2), two in East Bay (12 km2), one southeast of the Clear Lake entrance (5.3 km2), and one in Trinity Bay (4.3 km2). Sidescan sonars (100 kHz and 600 kHz) were used to image the bay bottom, and a chirp sonar (2-12 kHz) was used to image subsurface sediment layers and bottom topography. In the side-scan records, objects as small as a few meters in extent were visible, whereas the chirp sonar records show a vertical resolution of a few tens of centimeters. The sidescan images display strong backscatter in some areas due to coarse sediments in addition to weak backscatter in areas of fine sediment. The bay bottom was classified using three levels of sonar backscatter ranging from high to low. Areas of differing sonar backscatter intensity were sampled with cores and grab-samples. High backscatter corresponded to coarse shell debris and oyster reefs, medium backscatter corresponded to a sand-silt-shell mixture, and low backscatter corresponded to silty loam. Chirp sonar records were classified as one of nine different bottom reflection types 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 an absent or weakly laminated stratigraphy, whereas areas of high oyster productivity produced mounds, strong surface returns, and strong, shallow subsurface reflectors surrounding current oyster reefs. Anthropogenic features imaged with the sonar included sediment disruptions, such as the ship channels, dredge holes, gouges, and trawl marks, as well as debris, such as submerged boats, pipes, and unidentified objects.

Maddox, Donald Shea

2005-12-01T23:59:59.000Z

58

Chesapeake Bay Preservation Programs (Multiple States) | Department of  

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

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

59

McKay Bay Facility Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

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

60

Bay Front Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

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

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


61

Ocean Map National | Data.gov  

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

National Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov Communities Ocean Featured Maps The following maps are from data...

62

Maps of Selected State Subdivisions  

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

Crude Oil, Natural Gas, and Natural Gas Liquids Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map 5: Texas Map 6: Western Planning Area, Gulf of Mexico Map 7: Central Planning Area, Gulf of Mexico Map 8: Eastern Planning Area, Gulf of Mexico Map 1: Alaska AK 50 - North Onshore and Offshore AK 10 - South Onshore AK 05 - South State Offshore AK 00 - South Federal Offshore Map 2: California CA 50 - Coastal Region Onshore CA 90 - Los Angeles Basin Onshore CA 10 - San Joaquin Basin Onshore

63

BayWa Group | Open Energy Information  

Open Energy Info (EERE)

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

64

Hierarchical probabilistic regionalization of volcanism for Sengan region, Japan.  

SciTech Connect

A 1 km square regular grid system created on the Universal Transverse Mercator zone 54 projected coordinate system is used to work with volcanism related data for Sengan region. The following geologic variables were determined as the most important for identifying volcanism: geothermal gradient, groundwater temperature, heat discharge, groundwater pH value, presence of volcanic rocks and presence of hydrothermal alteration. Data available for each of these important geologic variables were used to perform directional variogram modeling and kriging to estimate geologic variable vectors at each of the 23949 centers of the chosen 1 km cell grid system. Cluster analysis was performed on the 23949 complete variable vectors to classify each center of 1 km cell into one of five different statistically homogeneous groups with respect to potential volcanism spanning from lowest possible volcanism to highest possible volcanism with increasing group number. A discriminant analysis incorporating Bayes theorem was performed to construct maps showing the probability of group membership for each of the volcanism groups. The said maps showed good comparisons with the recorded locations of volcanism within the Sengan region. No volcanic data were found to exist in the group 1 region. The high probability areas within group 1 have the chance of being the no volcanism region. Entropy of classification is calculated to assess the uncertainty of the allocation process of each 1 km cell center location based on the calculated probabilities. The recorded volcanism data are also plotted on the entropy map to examine the uncertainty level of the estimations at the locations where volcanism exists. The volcanic data cell locations that are in the high volcanism regions (groups 4 and 5) showed relatively low mapping estimation uncertainty. On the other hand, the volcanic data cell locations that are in the low volcanism region (group 2) showed relatively high mapping estimation uncertainty. The volcanic data cell locations that are in the medium volcanism region (group 3) showed relatively moderate mapping estimation uncertainty. Areas of high uncertainty provide locations where additional site characterization resources can be spent most effectively. The new data collected can be added to the existing database to perform future regionalized mapping and reduce the uncertainty level of the existing estimations.

Balasingam, Pirahas (University of Arizona); Park, Jinyong (University of Arizona); McKenna, Sean Andrew; Kulatilake, Pinnaduwa H. S. W. (University of Arizona)

2005-03-01T23:59:59.000Z

65

Galveston Bay Biodiesel LP GBB | Open Energy Information  

Open Energy Info (EERE)

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

66

Winchester Bay, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

67

Bay Resource Management Center Biomass Facility | Open Energy Information  

Open Energy Info (EERE)

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

68

Bay Biodiesel LLC | Open Energy Information  

Open Energy Info (EERE)

LLC Jump to: navigation, search Name Bay Biodiesel LLC Place Martinez, California Zip 94553 Product Biodiesel producers in Martinez, California. References Bay Biodiesel LLC1...

69

The Lick AGN Monitoring Project: Broad-Line Region Radii and Black Hole Masses from Reverberation Mapping of Hbeta  

E-Print Network (OSTI)

We have recently completed a 64-night spectroscopic monitoring campaign at the Lick Observatory 3-m Shane telescope with the aim of measuring the masses of the black holes in 12 nearby (z light curves for the objects in this sample and the subsequent Hbeta time lags for the nine objects where these measurements were possible. The Hbeta lag time is directly related to the size of the broad-line region, and by combining the lag time with the measured width of the Hbeta emission line in the variable part of the spectrum, we determine the virial mass of the central supe...

Bentz, Misty C; Barth, Aaron J; Baliber, Nairn; Bennert, Nicola; Canalizo, Gabriela; Filippenko, Alexei V; Ganeshalingam, Mohan; Gates, Elinor L; Greene, Jenny E; Hidas, Marton G; Hiner, Kyle D; Lee, Nicholas; Li, Weidong; Malkan, Matthew A; Minezaki, Takeo; Sakata, Yu; Serduke, Frank J D; Silverman, Jeffrey M; Steele, Thea N; Stern, Daniel; Street, Rachel A; Thornton, Carol E; Treu, Tommaso; Wang, Xiaofeng; Woo, Jong-Hak; Yoshii, Yuzuru

2009-01-01T23:59:59.000Z

70

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

Open Energy Info (EERE)

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

71

Residential Census Maps - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Home >>Energy Users > Residential Home Page > Census Maps . U. S. Census Regions and Divisions: Contact: James ...

72

Prudhoe Bay western peripheral development using three-dimensional seismic  

Science Conference Proceedings (OSTI)

The western periphery of the Prudhoe Bay field, known as the West End or Eileen area, is characterized by a relatively gentle southwestern regional dip cut by numerous normal faults with up to 500 ft of throw. These faults displace the Permian-Triassic reservoir sandstones against Jurassic shales. A detailed structural map was interpreted from three-dimensional seismic data acquired in 1984 and 1985. Three distinct and coherent trends of faulting are evident from the data: north-south, northwest-southeast, and east-west. These faults were aliased by the earlier two-dimensional data grid and could not be connected in a coherent manner consistent with suppositions of the stress directions. The added detail to the structural maps will allow development of narrow, oil-filled horst blocks and should prevent drilling of dry holes in narrow grabens as has occurred prior to the three-dimensional data acquisition. Seventy-two 80-ac wells and up to four horizontal gas injectors are planned for the area, with drilling commencing from new surface facilities in 1988. Upon the successful completion of a horizontal and an 88/sup 0/ highangle well from existing facilities, the utility and shortcomings of the data interpretations were illuminated. The high-angle well encountered only 40% of the prognosed oil column, which is believed to be a consequence of an unpredicted permafrost thickening. Thus, as with two-dimensional data, the uncertainty in the estimate of the velocity field is the dominant factor in estimating subsurface structure.

Guderjahn, C.G.

1988-01-01T23:59:59.000Z

73

U.S. EPA Region 9 | Open Energy Information  

Open Energy Info (EERE)

Logo: U.S. EPA Region 9 Logo: U.S. EPA Region 9 Name U.S. EPA Region 9 Address 75 hawthorne st Place San Francisco, California Zip 94105 Region Bay Area Number of employees 501-1000 Website http://epa.gov/region9/ Coordinates 37.7853°, -122.398274° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7853,"lon":-122.398274,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

74

THE ARIZONA RADIO OBSERVATORY CO MAPPING SURVEY OF GALACTIC MOLECULAR CLOUDS. II. THE W3 REGION IN CO J = 2-1, {sup 13}CO J = 2-1, AND CO J = 3-2 EMISSION  

SciTech Connect

We present fully sampled 38'' resolution maps of the CO and {sup 13}CO J = 2-1 lines in the molecular clouds toward the H II region complex W3. The maps cover a 2.{sup 0}0 x 1.{sup 0}67 section of the galactic plane and span -70 to -20 km s{sup -1} (LSR) in velocity with a resolution of {approx}1.3 km s{sup -1}. The velocity range of the images includes all the gas in the Perseus spiral arm. We also present maps of CO J = 3-2 emission for a 0.{sup 0}5 x 0.{sup 0}33 area containing the H II regions W3 Main and W3(OH). The J = 3-2 maps have velocity resolution of 0.87 km s{sup -1} and 24'' angular resolution. Color figures display the peak line brightness temperature, the velocity-integrated intensity, and velocity channel maps for all three lines, and also the (CO/{sup 13}CO) J = 2-1 line intensity ratios as a function of velocity. The line intensity image cubes are made available in standard FITS format as electronically readable files. We compare our molecular line maps with the 1.1 mm continuum image from the BOLOCAM Galactic Plane Survey (BGPS). From our {sup 13}CO image cube, we derive kinematic information for the 65 BGPS sources in the mapped field, in the form of Gaussian component fits.

Bieging, John H.; Peters, William L., E-mail: jbieging@as.arizona.edu, E-mail: wpeters@as.arizona.edu [Steward Observatory, University of Arizona, Tucson, AZ 85721 (United States)

2011-10-01T23:59:59.000Z

75

Mapping regions of Epstein-Barr virus (EBV) glycoprotein B (gB) important for fusion function with gH/gL  

SciTech Connect

Glycoproteins gB and gH/gL are required for entry of Epstein-Barr virus (EBV) into cells, but the role of each glycoprotein and how they function together to mediate fusion is unclear. Analysis of the functional homology of gB from the closely related primate gammaherpesvirus, rhesus lymphocryptovirus (Rh-LCV), showed that EBV gB could not complement Rh gB due to a species-specific dependence between gB and gL. To map domains of gB required for this interaction, we constructed a panel of EBV/Rh gB chimeric proteins. Analysis showed that insertion of Rh gB from residues 456 to 807 restored fusion function of EBV gB with Rh gH/gL, suggesting this region of gB is important for interaction with gH/gL. Split YFP bimolecular complementation (BiFC) provided evidence of an interaction between EBV gB and gH/gL. Together, our results suggest the importance of a gB-gH/gL interaction in EBV-mediated fusion with B cells requiring the region of EBV gB from 456 to 807.

Plate, Aileen E.; Reimer, Jessica J. [Department of Microbiology and Immunology, Feinberg School of Medicine, Northwestern University, Chicago IL 60611 (United States); Jardetzky, Theodore S. [Department of Structural Biology, Stanford University School of Medicine, 371 Serra Mall, Stanford, CA 94305 (United States); Longnecker, Richard, E-mail: r-longnecker@northwestern.ed [Department of Microbiology and Immunology, Feinberg School of Medicine, Northwestern University, Chicago IL 60611 (United States)

2011-04-25T23:59:59.000Z

76

An Advanced Data Assimilation System for the Chesapeake Bay: Performance Evaluation  

Science Conference Proceedings (OSTI)

An advanced data assimilation system, the local ensemble transform Kalman filter (LETKF), has been interfaced with a Regional Ocean Modeling System (ROMS) implementation on the Chesapeake Bay (ChesROMS) as a first step toward a reanalysis and ...

Matthew J. Hoffman; Takemasa Miyoshi; Thomas W. N. Haine; Kayo Ide; Christopher W. Brown; Raghu Murtugudde

2012-10-01T23:59:59.000Z

77

Abyssal Penetration and Bottom Reflection of Internal Tidal Energy in the Bay of Biscay  

Science Conference Proceedings (OSTI)

This paper describes field observations in the Bay of Biscay, and presents convincing evidence for the existence of a broad beam of internal tidal energy propagating downward from a source region on the upper continental slopes, which, after ...

R. D. Pingree; A. L. New

1991-01-01T23:59:59.000Z

78

COBE Sky Map  

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

COBE sky map COBE sky map This map of the ancient sky shows the minute variations in the microwave background discovered by the team led by Lawrence Berkeley Laboratory astrophysicist George Smoot. As seen in the map, vast regions of space have minute variations in temperature. Over billions of years, gravity magnified these small differences into the clusters of galaxies we observe today. Displayed horizontally across the middle of the map is the Milky Way galaxy. The image, a 360-degree map of the whole sky, shows the relic radiation from the Big Bang. The map was derived from one year of data taken by the Differential Microwave Radiometers onboard NASA's Cosmic Background Explorer satellite. Using Galactic coordinates, the map shows the plane of the Milky Way galaxy horizontally and the center of our galaxy at its

79

Automatic annotation of geographic maps  

Science Conference Proceedings (OSTI)

In this paper, we describe an approach to generate semantic descriptions of entities in city maps so that they can be presented through accessible interfaces. The solution we present processes bitmap images containing city map excerpts. Regions of interest ...

Mirko Horstmann; Wilko Heuten; Andrea Miene; Susanne Boll

2006-07-01T23:59:59.000Z

80

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

Open Energy Info (EERE)

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

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


81

Physical mapping of a large plant genome using global high-information-content-fingerprinting: the distal region of the wheat ancestor Aegilops tauschii chromosome 3DS.  

E-Print Network (OSTI)

Brachypodium Initiative: Genome sequencing and analysis ofInternational Rice Genome Sequencing Project: The map-basedthe International Wheat Genome Sequencing Consortium http://

2010-01-01T23:59:59.000Z

82

Geological, geochemical, and geophysical survey of the geothermal resources at Hot Springs Bay Valley, Akutan Island, Alaska  

DOE Green Energy (OSTI)

An extensive survey was conducted of the geothermal resource potential of Hot Springs Bay Valley on Akutan Island. A topographic base map was constructed, geologic mapping, geophysical and geochemical surveys were conducted, and the thermal waters and fumarolic gases were analyzed for major and minor element species and stable isotope composition. (ACR)

Motyka, R.J.; Wescott, E.M.; Turner, D.L.; Swanson, S.E.; Romick, J.D.; Moorman, M.A.; Poreda, R.J.; Witte, W.; Petzinger, B.; Allely, R.D.

1985-01-01T23:59:59.000Z

83

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

Open Energy Info (EERE)

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

84

Suttons Bay, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

85

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

Open Energy Info (EERE)

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

86

MHK Projects/Whiskey Bay | Open Energy Information  

Open Energy Info (EERE)

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

87

Discovery Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

88

Morro Bay, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

89

Kawela Bay, Hawaii: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

90

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

Open Energy Info (EERE)

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

91

Cutler Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

92

MHK Projects/Swansea Bay | Open Energy Information  

Open Energy Info (EERE)

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

93

Runaway Bay, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

94

Tonka Bay, Minnesota: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

95

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

Open Energy Info (EERE)

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

96

South Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

97

Nassau Bay, Texas: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

98

Buzzards Bay, Massachusetts: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

99

Probabilistic neural networks applied to mineral potential mapping for platinum group elements in the Serra Leste region, Carajs Mineral Province, Brazil  

Science Conference Proceedings (OSTI)

This work presents an application of probabilistic neural networks to map the potential for platinum group elements (PGE) mineralization sites in the northeast portion of the Carajas Mineral Province (CMP), Brazilian Amazon. Geological and geophysical ... Keywords: Carajs Mineral Province, Leave-one-out test, Mineral potential mapping, Probabilistic neural network

Emilson Pereira Leite; Carlos Roberto de Souza Filho

2009-03-01T23:59:59.000Z

100

St.Margarets Bay Halifax Harbour  

E-Print Network (OSTI)

St.Margarets Bay Queensland Beach Bayers Lake Bedford Basin Halifax Harbour Crystal Crescent Beach Mushaboom Harbour Ship Harbour Taylor Head ATLANTIC OCEAN Dollar Lake Musquodoboit River Lake Charlotte Shad Bay Whites Lake Terence Bay Prospect Pennant Pt Herring Cove Purcells Cove 349 306 Fall River

Beaumont, Christopher

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


101

Property:Region | Open Energy Information  

Open Energy Info (EERE)

Region Region Jump to: navigation, search This is a property of type Page. Pages using the property "Region" Showing 25 pages using this property. (previous 25) (next 25) 1 1st Light Energy, Inc. + Southern CA Area + 2 21-Century Silicon, Inc. + Texas Area + 3 3Degrees + Bay Area + 3TIER + Pacific Northwest Area + 4 4th Day Energy + Southern CA Area + 5 5 boro biofuel + Northeast - NY NJ CT PA Area + @ @Ventures (California) + Bay Area + @Ventures (Massachusetts) + Greater Boston Area + A A1 Sun, Inc. + Bay Area + A10 Power + Bay Area + A123 Systems + Greater Boston Area + A2BE Carbon Capture LLC + Rockies Area + ABC Solar, Inc. + Southern CA Area + ABS Alaskan Inc + United States + AC Solar Inc + Rockies Area + AEE Solar + Bay Area + AER NY Kinetics LLC + United States +

102

File:BOEMRE platforms.leases.longbeach.map.5.2010.pdf | Open Energy  

Open Energy Info (EERE)

platforms.leases.longbeach.map.5.2010.pdf platforms.leases.longbeach.map.5.2010.pdf Jump to: navigation, search File File history File usage Federal Leases in Pacific Ocean, near Long Beach Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 57 KB, MIME type: application/pdf) Description Federal Leases in Pacific Ocean, near Long Beach Sources Bureau of Ocean Energy Management, Regulation and Enforcement (BOEMRE) Related Technologies Oil, Natural Gas Creation Date 2010-05 Extent San Pedro Bay Countries United States UN Region Northern America States California Locations of developed federal leases and platforms near Long Beach. File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

103

Daya Bay Reactor Neutrino Project at NERSC  

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

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

104

Bailey Bay Hot Springs Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

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

105

Near Fish Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

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

106

Cold Bay Hot Spring Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

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

107

Hot Springs Bay Geothermal Area | Open Energy Information  

Open Energy Info (EERE)

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

108

Berkeley Lab / Richmond Bay Campus  

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

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

109

Field Mapping | Open Energy Information  

Open Energy Info (EERE)

Field Mapping Field Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Field Mapping Details Activities (59) Areas (35) Regions (6) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Stratigraphic/Structural: Map fault and fracture patterns, kinematic information. Hydrological: Map surface manifestations of geothermal systems. Thermal: Map surface temperature. Cost Information Low-End Estimate (USD): 400.0040,000 centUSD 0.4 kUSD 4.0e-4 MUSD 4.0e-7 TUSD / hour Median Estimate (USD): 600.0060,000 centUSD

110

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

Open Energy Info (EERE)

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

111

Using Density Equalizing Map Projection (DEMP) in Epidemiologic  

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

Using Density Equalizing Map Projection (DEMP) in Epidemiologic Using Density Equalizing Map Projection (DEMP) in Epidemiologic Surveillance: An Analysis of Female Breast Cancer Incidence in the San Francisco Bay Area Speaker(s): Christine Erdman Date: April 5, 2001 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: David Faulkner This study examined the spatial distribution of female breast cancer incidence in the San Francisco Bay Area (California, U.S.A.) in relation to various demographic variables using cartograms for control of population density. Using a cartogram technique known as density equalized map projection (DEMP), census tract boundaries of geopolitical maps are transformed such that the resultant census tract areas are proportional to their population at risk. With spatial confounding removed, the maps become

112

Using Bayes' Theorem for Free Energy Calculations.  

E-Print Network (OSTI)

??Statistical mechanics is fundamentally based on calculating the probabilities of molecular-scaleevents. Although Bayes theorem has generally been recognized as providing key guiding principals for setup (more)

Rogers, David M.

2009-01-01T23:59:59.000Z

113

Changes related to "Chesapeake Bay Test Site" | Open Energy Informatio...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon Changes related to "Chesapeake Bay Test Site" Chesapeake Bay Test Site Jump to: navigation, search This is a list of...

114

Tampa Bay Area Ethanol Consortium | Open Energy Information  

Open Energy Info (EERE)

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

115

Status of the Daya Bay Reactor Neutrino Oscillation Experiment  

E-Print Network (OSTI)

Status of the Daya Bay Reactor Neutrino OscillationCheng-Ju Lin The Daya Bay reactor neutrino experiment [1] isneutrinos from the nuclear reactors at different baselines.

Lin, Cheng-Ju Stephen

2011-01-01T23:59:59.000Z

116

Sea ice mapping method for seawinds  

E-Print Network (OSTI)

AbstractA sea ice mapping algorithm for SeaWinds is developed that incorporates statistical and spatial a priori information in a modified maximum a posteriori (MAP) framework. Spatial a priori data are incorporated in the loss terms of a Bayes risk formulation. Conditional distributions and priors for sea ice and ocean statistics are represented as empirical histograms that are forced to conform to a set of expected histograms via principal component filtering. Tuning parameters for the algorithm allow adjustments in the algorithms performance. Results of the algorithm exhibit high correlation with the RemundLong sea ice mapping algorithm for SeaWinds and the Special Sensor Microwave/Imager National Aeronautics and Space Administration Team 30 % ice edge, and are verified with RADARSAT-1 ScanSAR imagery. The resulting sea ice maps exhibit high edge detail, preserve polynyas and ice bodies disjoint from the primary ice sheet, and thus are suitable for use with wind retrieval and sea ice studies. Principles employed in the algorithm may be of interest in other classification studies. Index TermsBayes method, maximum a posteriori (MAP), principal components, QuikSCAT, scatterometer, sea ice extent, SeaWinds. I.

Hyrum S. Anderson; Student Member; David G. Long; Senior Member

2005-01-01T23:59:59.000Z

117

Category:Green Bay, WI | Open Energy Information  

Open Energy Info (EERE)

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

118

Painterly animation using motion maps  

Science Conference Proceedings (OSTI)

Starting from an input video, we replicate the manual technique of paint-on-glass animation. Motion maps are used to represent the regions where changes occur between frames. Edges are the key to identifying frame-to-frame changes, and a strong motion ... Keywords: Metamorphosis, Motion map, Non-photorealistic rendering & animation, Painterly rendering & animation, Strong edges

Youngsup Park; Kyunghyun Yoon

2008-01-01T23:59:59.000Z

119

A Latent-and Sensible-Heat Polynya Model for the North Water, Northern Baffin Bay  

Science Conference Proceedings (OSTI)

The Pease latent-heat polynya model is coupled to a reduced-gravity, coastal upwelling model in order to simulate the formation and maintenance of the North Water (NOW), the Arctic's largest polynya, located in northern Beffin Bay. In this region,...

Lawrence A. Mysak; Fengting Huang

1992-06-01T23:59:59.000Z

120

Wakasa Bay: An AMSR Precipitation Validation Campaign  

Science Conference Proceedings (OSTI)

The Wakasa Bay Experiment was conducted in order to refine error models for oceanic precipitation from the Advanced Microwave Sounding Radiometer-Earth Observing System (AMSR-E) measurements and to develop algorithms for snowfall. The NASA P-3 ...

Elena S. Lobl; Kazumasa Aonashi; Masataka Murakami; Brian Griffith; Christian Kummerow; Guosheng Liu; Thomas Wilheit

2007-04-01T23:59:59.000Z

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


121

Climate Change and Bay Area Transportation  

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

Climate Change and Bay Area Transportation Speaker(s): Bruce Riordan Date: April 5, 2007 - 12:00pm Location: 90-3122 Seminar HostPoint of Contact: Marcia Beck Bruce Riordan is a...

122

Deep Currents in the Bay of Campeche  

Science Conference Proceedings (OSTI)

Data from five moorings deployed in the Bay of Campeche during November 2007July 2008 are used to analyze subinertial motions of waters below 1000-m depth. To the authors knowledge, this is the first time such a comprehensive observational ...

Nicolas Kolodziejczyk; Jos Ochoa; Julio Candela; Julio Sheinbaum

2011-10-01T23:59:59.000Z

123

Fault Mapping | Open Energy Information  

Open Energy Info (EERE)

form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Fault Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Fault Mapping Details Activities (2) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Data Collection and Mapping Information Provided by Technique Lithology: Stratigraphic/Structural: Locates active faults in the area of interest Hydrological: Can reveal whether faults are circulating hydrothermal fluids Thermal: Dictionary.png

124

Coos Bay, Oregon: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

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

125

Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue  

Science Conference Proceedings (OSTI)

Quantile mapping is routinely applied to correct biases of regional climate model simulations compared to observational data. If the observations are of similar resolution as the regional climate model, quantile mapping is a feasible approach. ...

Douglas Maraun

2013-03-01T23:59:59.000Z

126

Site Map  

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

Home » Site Map Home » Site Map Site Map Home About Overview NERSC Mission Contact us Staff Center Leadership Sudip Dosanjh Select Publications Jeff Broughton Katie Antypas John Shalf Francesca Verdier Center Administration James Craw Norma Early Jeff Grounds Betsy MacGowan Zaida McCunney Lynn Rippe Suzanne Stevenson David Tooker Center Communications Jon Bashor Linda Vu Margie Wylie Kathy Kincade Advanced Technologies Group Nicholas Wright Brian Austin Research Projects Matthew Cordery Christopher Daley Analytics Group Peter Nugent David Camp Hank Childs Harinarayan Krishnan Burlen Loring Joerg Meyer Prabhat Oliver Ruebel Daniela Ushizima Gunther Weber Yushu Yao Computational Systems Group Jay Srinivasan James Botts Scott Burrow Tina Butler Nick Cardo Tina Declerck Ilya Malinov David Paul Larry Pezzaglia Iwona Sakrejda

127

Data Collection and Mapping | Open Energy Information  

Open Energy Info (EERE)

Data Collection and Mapping Data Collection and Mapping Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Data Collection and Mapping Details Activities (0) Areas (0) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Field Techniques Exploration Sub Group: Data Collection and Mapping Parent Exploration Technique: Field Techniques Information Provided by Technique Lithology: Map surface geology and hydrothermal alteration. Bulk and trace element analysis of rocks, minerals, and sediments. Identify and document surface geology and mineralogy. Rapid and unambiguous identification of unknown minerals.[1] Stratigraphic/Structural: Locates active faults in the area of interest. Map fault and fracture patterns, kinematic information

128

Manhattan Project: Maps  

Office of Scientific and Technical Information (OSTI)

MAPS MAPS Resources Scroll down to view thumbnails of each map. Leslie Groves looks at a map of Japan. Manhattan Project: General Manhattan Project Facilities Places map "Signature Facilities of the MED" map Hanford Hanford map Hanford (black and white) map Hanford Site Diagram Hanford Site Location Map Hanford: Native Peoples map Hanford: Town map Los Alamos Map of Los Alamos, New Mexico Los Alamos: "Tech Area" map Oak Ridge Map of Clinton Engineer Works, Oak Ridge Clinton Engineer Works, Oak Ridge (black and white) map Oak Ridge: Projected Site for Atomic Production Plants, 1942, map Other Flight paths for Hiroshima and Nagasaki missions map Map of the Trinity Test Site Post-War U.S. Nuclear Tests map Manhattan Project Facilities Manhattan Project Facilities

129

New and Underutilized Technology: Efficient High Bay Fluorescent Lighting |  

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

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

130

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

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

Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Aerial survey of Bay Area continues through Saturday Aerial survey of Bay Area continues...

131

Stakeholder Engagement and Outreach: Offshore 90-Meter Wind Maps and Wind  

Wind Powering America (EERE)

Offshore 90-Meter Wind Maps and Wind Resource Potential Offshore 90-Meter Wind Maps and Wind Resource Potential The Stakeholder Engagement and Outreach initiative provides 90-meter (m) height, high-resolution wind maps and estimates of the total offshore wind potential that would be possible from developing the available offshore areas. The offshore wind resource maps can be used as a guide to identify regions for commercial wind development. A map of the United States showing offshore wind resource. Washington offshore wind map. Oregon offshore wind map. California offshore wind map. Texas offshore wind map. Minnesota offshore wind map. Lousiana offshore wind map. Wisconsin offshore wind map. Michigan offshore wind map. Michigan offshore wind map. Illinois offshore wind map. Indiana offshore wind map. Ohio offshore wind map. Georgia offshore wind map. South Carolina offshore wind map. North Carolina offshore wind map. Virginia offshore wind map. Maryland offshore wind map. Pennsylvania offshore wind map. Delaware offshore wind map. New Jersey offshore wind map. New York offshore wind map. Maine offshore wind map. Massachusetts offshore wind map. Rhode Island offshore wind map. Connecticut offshore wind map. Hawaii offshore wind map. Delaware offshore wind map. New Hampshire offshore wind map.

132

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

Open Energy Info (EERE)

Galway Bay IE Galway Bay IE < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":53.1879,"lon":-9.18125,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

133

MHK Projects/OpenHydro Bay of Fundy Nova Scotia CA | Open Energy  

Open Energy Info (EERE)

Bay of Fundy Nova Scotia CA Bay of Fundy Nova Scotia CA < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":44.7728,"lon":-66.3096,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

134

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

Open Energy Info (EERE)

Coos Bay OPT Wave Park Coos Bay OPT Wave Park < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.3664,"lon":-124.218,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

135

MHK Projects/Kachemak Bay Tidal Energy Project | Open Energy Information  

Open Energy Info (EERE)

Kachemak Bay Tidal Energy Project Kachemak Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":60.3378,"lon":-151.875,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

136

MHK Projects/General Sullivan and Little Bay BRI | Open Energy Information  

Open Energy Info (EERE)

General Sullivan and Little Bay BRI General Sullivan and Little Bay BRI < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.1055,"lon":-70.7912,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

137

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

Open Energy Info (EERE)

Francisco Bay Tidal Energy Project Francisco Bay Tidal Energy Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.691,"lon":-122.311,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

138

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

Open Energy Info (EERE)

Selby-on-the-Bay, Maryland: Energy Resources Selby-on-the-Bay, Maryland: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.9162245°, -76.52246° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.9162245,"lon":-76.52246,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

139

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

Open Energy Info (EERE)

Willapa Bay Tidal Power Project Willapa Bay Tidal Power Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":46.7161,"lon":-124.038,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

140

MHK Projects/Makah Bay Offshore Wave Pilot Project | Open Energy  

Open Energy Info (EERE)

Makah Bay Offshore Wave Pilot Project Makah Bay Offshore Wave Pilot Project < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.3238,"lon":-124.682,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

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


141

MHK Projects/Minas Basin Bay of Fundy Commercial Scale Demonstration | Open  

Open Energy Info (EERE)

Minas Basin Bay of Fundy Commercial Scale Demonstration Minas Basin Bay of Fundy Commercial Scale Demonstration < MHK Projects Jump to: navigation, search << Return to the MHK database homepage Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":5,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"500px","height":"350px","centre":false,"title":"","label":"","icon":"File:Aquamarine-marker.png","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":45.3658,"lon":-64.4294,"alt":0,"address":"","icon":"http:\/\/prod-http-80-800498448.us-east-1.elb.amazonaws.com\/w\/images\/7\/74\/Aquamarine-marker.png","group":"","inlineLabel":"","visitedicon":""}]}

142

OCEANOGRAPHIC OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA  

E-Print Network (OSTI)

381 OCEANOGRAPHIC OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA 1939-41, USCGT Redwing L. o OCEANOGRAPHIC OBSERVATSONS IN BRBSTOL BAY AND THE BERING SEA 1939-41 (USCGT Redwing) by Felix Favorite, John W OBSERVATIONS IN BRISTOL BAY AND THE BERING SEA 1939-41 (USCGT Redwing) by Felix Favorite, John W. Schantz

143

Figure F2. Electricity market module regions  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration Annual Energy Outlook 2013 227 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information ...

144

ORNL DAAC Site Map  

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

Site Map ORNL DAAC Site Map About Us About ORNL DAAC Who We Are User Working Group Biogeochemical Dynamics Data Citation Policy News Newsletters Workshops Site Map Products...

145

Regional Data in Partnership with the San Francisco Exploratorium |  

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

Regional Data in Partnership with the San Francisco Exploratorium Regional Data in Partnership with the San Francisco Exploratorium Agriculture Community Menu DATA APPS EVENTS DEVELOPER STATISTICS COLLABORATE ABOUT Agriculture You are here Data.gov » Communities » Agriculture » Data Regional Data in Partnership with the San Francisco Exploratorium Dataset Summary Description As a tool to support NOAA's new partnership with the renowned science museum, the Exploratorium, and in collaboration with the Central and Northern California Ocean Observing System and other regional data providers, NOAA has developed a Web page to make it easy to visualize near-real time data in San Francisco Bay. The interface uses Google Maps and the latest AJAX technology to combine and compare data from diverse sources. Users are able to visualize water temperature, salinity, and other station-based measurements along with overlays of satellite measurements of Sea Surface Temperature (SST) and radar measurements of currents. Users are also able to compare time series of measurements from various stations and sources.

146

SF Bay Cores Uncovering Our Dirty Past  

E-Print Network (OSTI)

1956 1931 1898 #12;Dating: Radioisotopes (USC Hammond) · 137Cs in atom bomb ­ Post ~1950 ­ Max ~1960 reservoir · Much of SF Bay eroding · Ticking TIME BOMB?!!! Hornberger 1999 #12;· Need baywide inventory reviewed. Do not cite or quote. PCBs represents the sums of individual congeners reported by the RMP

147

BRISTOL BAY OCEANOGRAPHY AUGUST-SEPTEMBER, 1938  

E-Print Network (OSTI)

Chichagof 7 111 #12;U. S. Coast Guard Tug Redwing IV #12;BRISTOL BAY OCEANOGRAPHY, AUGUST-SEPTEMBER 1938 logs of the U. S. Coast Gucird Tug Redwing present values of temperature, salinity, density, dynamic£ird Tug Redwing equipped to make hydrographic casts, measure currents, and obtain bottom samples. Grateful

148

Prudhoe Bay Oil Production Optimization: Using Virtual  

E-Print Network (OSTI)

total field oil production by optimizing the gas discharge rates and pressures at the separation1 Prudhoe Bay Oil Production Optimization: Using Virtual Intelligence Techniques, Stage One: Neural Model Building Shahab D. Mohaghegh, West Virginia University Lynda A. Hutchins, BP Exploration (Alaska

Mohaghegh, Shahab

149

Responses of upland herpetofauna to the restoration of Carolina Bays and thinning of forested Bay Margins.  

Science Conference Proceedings (OSTI)

Research on the effects of wetland restoration on reptiles and amphibians is becoming more common, but almost all of these studies have observed the colonization of recently disturbed habitats that were completely dry at the time of restoration. In a similar manner, investigations herpetofaunal responses to forest management have focused on clearcuts, and less intensive stand manipulations are not as well studied. To evaluate community and population responses of reptiles and amphibians to hydrology restoration and canopy removal in the interior of previously degraded Carolina bays, I monitored herpetofauna in the uplands adjacent to six historically degraded Carolina bays at the Savannah River Site (SRS) in South Carolina for four years after restoration. To evaluate the effects of forest thinning on upland herpetofauna, forests were thinned in the margins of three of these bays. I used repeated measures ANOVA to compare species richness and diversity and the abundance of selected species and guilds between these bays and with those at three reference bays that were not historically drained and three control bays that remained degraded. I also used Non-metric Multidimensional Scaling (NMDS) to look for community-level patterns based treatments.

Ledvina, Joseph A.

2008-05-01T23:59:59.000Z

150

The human transcription factor CP2 (TFCP2), a component of the human {gamma}-globin stage selector protein, maps to chromosome region 12q13 and is within 250 kb of the NF-E2 gene  

SciTech Connect

The transcription factor CP2{sup 2} has been shown to bind to several cellular and viral promoters as a homodimer. More recently, we have demonstrated that CP2 can form a heterodimer with a 45-kDa partner protein to form the stage selector protein complex (SSP). This complex binds to a proximal {gamma}-globin promoter regulatory element, the stage selector element (SSE), which appears to be involved in the competitive silencing of the {beta}-gene in the fetal stage of erythropoiesis. Similar SSP-like binding sites have been identified in the {beta}-globin promoter and regulatory elements of the {beta}-globin locus control region (LCR). The importance of the SSP complex is further emphasized by the fact that the chicken stage selector protein, NF-E4, which has been implicated in the competitive silencing of the chicken {epsilon}-globin gene, is the avian homologue of CP2. The purpose of this study is to map human CP2 genomically and define its relationship to previously identified loci. 9 refs., 1 fig.

Cunningham, J.M.; Tran, N.; Valentine, M. [St. Jude Children`s Research Hospital, Memphis, TN (United States)] [and others

1995-11-20T23:59:59.000Z

151

Fermilab Map Instructions  

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

Fermilab interactive map is actually a series of maps. The first map in the series--the map that you just clicked on to get this window--is an overview of the entire Fermilab site....

152

Maps and Shuttle - TMS  

Science Conference Proceedings (OSTI)

TMS 2008 Conference Maps and Shuttle Information. Ernest N. Morial Convention Center Maps All conference events, including registration, technical sessions...

153

Figure 1. Census Regions and Divisions  

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

US Federal Region Map US Federal Region Map US Federal Regions/> Region 1 Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, Vermont Region 2 New Jersey, New York Region 3 Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, West Virginia Region 4 Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, Tennessee Region 5 Illinois, Indiana, Michigan, Minnesota, Ohio, Wisconsin Region 6 Arkansas, Louisiana, New Mexico, Oklahoma, Texas Region 7 Iowa, Kansas, Missouri, Nebraska Region 8 Colorado, Montana, North Dakota, South Dakota, Utah, Wyoming Region 9 Arizona, California, Hawaii, Nevada Region 10 Alaska, Idaho, Oregon, Washington Source: Energy Information Administration, Office of Coal, Nuclear, Electric and Alternate Fuels.

154

Process Maps  

Science Conference Proceedings (OSTI)

...to the chief measure of the power-dissipation capacity of the material, the dimensionless parameter called the efficiency of power dissipation, η: (Eq 57) Deformation processing should be focused on the regions of maximum efficiency of power dissipation unless structural instabilities, for example,...

155

Stakeholder Engagement and Outreach: Wind Resource Maps and Anemometer Loan  

Wind Powering America (EERE)

Maps & Data Maps & Data Printable Version Bookmark and Share Utility-Scale Land-Based Maps Offshore Maps Community-Scale Maps Residential-Scale Maps Anemometer Loan Programs & Data Wind Resource Maps and Anemometer Loan Program Data The Stakeholder Engagement and Outreach initiative provides wind maps and validation to help states and regions build capacity to support and accelerate wind energy deployment. Read about the available wind maps for utility-, community-, and residential-scale wind development. A wind resource map of the United States showing land-based with offshore resources. The Energy Department, the National Renewable Energy Laboratory, and AWS Truepower provide the wind resource map that shows land-based with offshore resources. This map is the first to provide wind developers and policy

156

Regional Planning | Data.gov  

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

Regional Planning Regional Planning Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Regional Planning Efforts Alias (field_alias) Apply California, Oregon, Washington Regional Ocean Partnership West Coast Governors' Alliance Regional Data Portal In Development U.S. Virgin Islands, Puerto Rico Regional Ocean Partnership U.S. Caribbean Regional Ocean Partnership-currently being formally established Regional Data Portal To be developed Georgia, Florida, North Carolina, South Carolina Regional Ocean Partnership Governors' South Atlantic Alliance Regional Data Portal Currently in development American Samoa, Commonwealth of the Northern Mariana Islands (CNMI), Federated States of Micronesia, Guam, Hawaii, Marshall Islands, Palau

157

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

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

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

158

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

E-Print Network (OSTI)

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. Development of the Coastal Margin Observation and Assessment System (CMOAS) through integration of real-time observations with numerical modeling helps to understand the processes causing hypoxia in this energetic bay. CMOAS also serves as a template for the implementation of observational systems in other dynamic ecosystems for characterizing and predicting other episodic events such as harmful algal blooms, accidental oil spills, sediment resuspension events, etc. State-of-the-art sensor technologies are involved in real-time monitoring of hydrodynamic, meteorological and water quality parameters in the bay. Three different platform types used for the installation of sensor systems are: 1) Fixed Robotic, 2) Mobile, and 3) Remote. An automated profiler system, installed on the fixed robotic platform, vertically moves a suite of in-situ sensors within the water column for continuous measurements. An Integrated Data Acquisition, Communication and Control system has been configured on our mobile platform (research vessel) for the synchronized measurements and real-time visualization of hydrodynamic and water quality parameters at greater spatial resolution. In addition, a high frequency (HF) radar system has been installed on remote platforms to generate surface current maps for Corpus Christi (CC) Bay and its offshore area. This data is made available to stakeholders in real-time through the development of cyberinfrastructure which includes establishment of communication network, software development, web services, database development, etc. Real-time availability of measured datasets assists in implementing an integrated sampling scheme for our monitoring systems installed at different platforms. With our integrated system, we were able to capture evidence of an hypoxic event in Summer 2007. Data collected from our monitoring systems are used to drive and validate numerical models developed in this study. The analysis of observational datasets and developed 2-D hydrodynamic model output suggests that a depth-integrated model is not able to capture the water current structure of CC Bay. Also, the development of a threedimensional mechanistic dissolved oxygen model and a particle aggregation transport model (PAT) helps to clarify the critical processes causing hypoxia in the bay. The various numerical models and monitoring systems developed in this study can serve as valuable tools for the understanding and prediction of various episodic events dominant in other dynamic ecosystems.

Islam, Mohammad S.

2009-05-01T23:59:59.000Z

159

Thermal Waters Along The Konocti Bay Fault Zone, Lake County...  

Open Energy Info (EERE)

Thermal Waters Along The Konocti Bay Fault Zone, Lake County, California- A Re-Evaluation Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Thermal...

160

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

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

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

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


161

Green Bay, Wisconsin: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon Green Bay, Wisconsin: Energy Resources Jump to: navigation, search Equivalent URI DBpedia...

162

Modeling nitrogen cycling in forested watersheds of Chesapeake Bay  

Science Conference Proceedings (OSTI)

The Chesapeake Bay Agreement calls for a 40% reduction of controllable phosphorus and nitrogen to the tidal Bay by the year 2000. To accomplish this goal the Chesapeake Bay Program needs accurate estimates of nutrient loadings, including atmospheric deposition, from various land uses. The literature was reviewed on forest nitrogen pools and fluxes, and nitrogen data from research catchments in the Chesapeake Basin were identified. The structure of a nitrogen module for forests is recommended for the Chesapeake Bay Watershed Model along with the possible functional forms for fluxes.

Hunsaker, C.T.; Garten, C.T.; Mulholland, P.J.

1995-03-01T23:59:59.000Z

163

Clean Cities: East Bay Clean Cities (Oakland) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Battersby Richard Battersby is director of fleet services at the University of California, Davis and has been Coordinator of the East Bay (Oakland) Clean Cities coalition...

164

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

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

and vertical turbulence with no indications of significant stratification (Quoddy Bay LNG 2006). Mixing cools the surface waters in the summer, and limits the freezing...

165

Primary causes of wetland loss at Madison Bay, Terrebonne ...  

U.S. Energy Information Administration (EIA)

Get this from a library! Primary causes of wetland loss at Madison Bay, Terrebonne Parish, Louisiana. [Robert A Morton; Ginger Tiling; Nicholas F ...

166

Big Bay, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Bureau 2005 Place to 2006 CBSA Retrieved from "http:en.openei.orgwindex.php?titleBigBay,Michigan&oldid227742" Categories: Places Stubs Cities What links here Related...

167

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

Science Conference Proceedings (OSTI)

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.

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

168

Nearly Euclidean Thurston maps  

E-Print Network (OSTI)

We introduce and study a class of Thurston maps from the 2-sphere to itself which we call nearly Euclidean Thurston (NET) maps. These are simple generalizations of Euclidean Thurston maps.

Cannon, James W; Parry, Walter R; Pilgrim, Kevin M

2012-01-01T23:59:59.000Z

169

Berkeley Lab Site Map  

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

Location Building - Map Location Building - Map Location Building - Map Location Advanced Light Source (Bldg. 6) - C3, C4 Bldg. 50 Auditorium - C2 Bldg. 66 Auditorium - D6...

170

Maps of Selected State Subdivisions  

Gasoline and Diesel Fuel Update (EIA)

Crude Oil, Natural Gas, and Natural Gas Liquids Proved Reserves Summary Maps of Selected State Subdivisions Map 1: Alaska Map 2: California Map 3: Louisiana Map 4: New Mexico Map...

171

Geothermal: Site Map  

Office of Scientific and Technical Information (OSTI)

GEOTHERMAL TECHNOLOGIES LEGACY COLLECTION - Site Map Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic Search About Publications...

172

TMS 2011: Maps  

Science Conference Proceedings (OSTI)

TMS 2011: Maps February 27 - March 3, 2011 San Diego, California. Use these following maps and floor plans to help locate where you need to go.

173

Pages that link to "Chesapeake Bay Test Site" | Open Energy Informatio...  

Open Energy Info (EERE)

Share this page on Facebook icon Twitter icon Pages that link to "Chesapeake Bay Test Site" Chesapeake Bay Test Site Jump to: navigation, search What links here Page:...

174

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

DOE Green Energy (OSTI)

The Bristol Bay Native Corporation (BBNC) grant project focused on conducting nine wind resource studies in eight communities in the Bristol Bay region of southwest Alaska and was administered as a collaborative effort between BBNC, the Alaska Energy Authority, Alaska Village Electric Cooperative, Nushagak Electric Cooperative (NEC), Naknek Electric Association (NEA), and several individual village utilities in the region. BBNCs technical contact and the project manager for this study was Douglas Vaught, P.E., of V3 Energy, LLC, in Eagle River, Alaska. The Bristol Bay region of Alaska is comprised of 29 communities ranging in size from the hub community of Dillingham with a population of approximately 3,000 people, to a few Native Alaska villages that have a few tens of residents. Communities chosen for inclusion in this project were Dillingham, Naknek, Togiak, New Stuyahok, Kokhanok, Perryville, Clarks Point, and Koliganek. Selection criteria for conduction of wind resource assessments in these communities included population and commercial activity, utility interest, predicted Class 3 or better wind resource, absence of other sources of renewable energy, and geographical coverage of the region. Beginning with the first meteorological tower installation in October 2003, wind resource studies were completed at all sites with at least one year, and as much as two and a half years, of data. In general, the study results are very promising for wind power development in the region with Class 6 winds measured in Kokhanok; Class 4 winds in New Stuyahok, Clarks Point, and Koliganek; Class 3 winds in Dillingham, Naknek, and Togiak; and Class 2 winds in Perryville. Measured annual average wind speeds and wind power densities at the 30 meter level varied from a high of 7.87 meters per second and 702 watts per square meter in Kokhanok (Class 6 winds), to a low of 4.60 meters per second and 185 watts per square meter in Perryville (Class 2 winds).

Vaught, Douglas J.

2007-03-31T23:59:59.000Z

175

Allinea MAP at NERSC  

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

MAP MAP MAP MAP from Allinea Software is a parallel profiler with a simple graphical user interface. It is installed on Hopper, Edison and Carver. Note that the performance of the X Windows-based MAP Graphical User Interface can be greatly improved if used in conjunction with the free NX software. Introduction Allinea MAP is a parallel profiler with simple Graphical User Interface. MAP can be run with up to 512 processors, to profile serial, OpenMP and MPI codes. The Allinea MAP web page and 'Allinea DDT and MAP User Guide' (available as $ALLINEA_TOOLS_DOCDIR/userguide.pdf after loading an allineatools module) are good resources for learning more about some of the advanced MAP features. Loading the Allinea Tools Module To use MAP, first load the 'allineatools' module to set the correct

176

Geothermal Regions | Open Energy Information  

Open Energy Info (EERE)

Regions Regions Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermal Regions RegionsMap2012.jpg Geothermal regions were outlined for the western United States (including Alaska and Hawaii) to identify geothermal areas, projects, and exploration trends for each region. These regions were developed based on the USGS physiographic regions (U.S. Geological Survey), and then adjusted to fit geothermal exploration parameters such as differences in geologic regime, structure, heat source, surface effects (weather, vegetation patterns, groundwater flow), and other relevant factors. The 21 regions can be seen outlined in red and overlain on the 2008 USGS Geothermal Favorability Map in Figure 1.[1] Add a new Geothermal Region List of Regions Area (km2) Mean MW

177

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

178

TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY  

E-Print Network (OSTI)

6 TWO CHEMICAL SPILL PATTERNS IN TIDALLY DOMINATED SAN DIEGO BAY Peter C. Chu and Kleanthis, Inc., 70 Dean Knauss Drive, Narragansett, RI 02882, USA ABSTRACT A coupled hydrodynamic-chemical spill model is used to investigate the chemical spill in the San Diego Bay. The hydrodynamic model shows

Chu, Peter C.

179

Intention Recognition via Causal Bayes Networks Plus Plan Generation  

Science Conference Proceedings (OSTI)

In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus plan generation techniques. Given some situation, such networks enable recognizing agent ... Keywords: ASCP, Causal Bayes Networks, Intention recognition, Logic Programming, P-log, Plan generation

Lus Moniz Pereira; Han The Anh

2009-10-01T23:59:59.000Z

180

Application of fuzzy logic for autonomous bay parking of automobiles  

Science Conference Proceedings (OSTI)

In this paper, we investigate the control problem of autonomous bay parking system. We choose a referenced parking lot and define a suitable parking spot based on some measurements at various places. A kinetic model is set up for the convenience of analysis ... Keywords: Fuzzy logic, autonomous vehicle control, bay parking, kinetic model, simulation

Zhao-Jian Wang; Jian-Wei Zhang; Ying-Ling Huang; Hui Zhang; Aryan Saadat Mehr

2011-11-01T23:59:59.000Z

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


181

Clean Cities: East Bay Clean Cities (Oakland) coalition  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

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

182

Quantization of Anosov maps  

SciTech Connect

Cat maps, linear automorphisms of the torus, are standard examples of classically chaotic systems, but they are periodic when quantized, leading to many untypical consequences. Anosov maps are topologically equivalent to cat maps despite being nonlinear. Generalizing the original quantization of cat maps, we establish that quantum Anosov maps have typical spectral fluctuations for classically chaotic systems. The periodic orbit theory for the spectra of quantum Anosov maps is not exact, as it is for cat maps. Nonetheless our calculations verify that the semiclassical trace of the propagator is accurate well beyond any ``log time`` cutoff. {copyright} 1995 Academic Press, Inc.

Basilio de Matos, M.; Ozorio de Almeida, A.M. [IF, Universidade Estadual de Campinas, 13081, Campinas, SP (Brazil)

1995-01-01T23:59:59.000Z

183

Emergency Exit Maps | Stanford Synchrotron Radiation Lightsource  

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

Emergency Exit Maps SSRL Exit Maps Exit map 219 exit map trailer 274 exit map 450 trailers exit map trailer 271 exit map trailer 270 exit map trailer 294 exit maps 118 & 117 exit...

184

Event:LEDS Latin America Regional Platform Facilitator Training...  

Open Energy Info (EERE)

Regional Platform Facilitator Training Jump to: navigation, search Calendar.png LEDS Latin America Regional Platform Facilitator Training: on 20121105 MAPS Facilitator Training:...

185

Maps - U.S. Energy Information Administration (EIA)  

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

Maps Maps Overview & General Energy Disruptions Interactive maps with energy infrastructure and real-time storm tracking Historical Disruption reports Gulf of Mexico Fact Sheet Country Analysis Briefs U.S. Census Region Map U.S. Climate Zones for 2003 Commercial Buildings Energy Consumption Survey (CBECS) U.S. Federal Region Map State Energy Profile Maps | Map Details and Data Coal mines Federal lands Market hubs: NGL and natural gas Oil/gas production, refining and processing Pipelines and electric transmission Power plants Resources: coal, oil and gas, shale, tight gas, biomass, geothermal, photovotaic solar, wind Storage Waterborne transport: petroleum ports, waterways, and LNG import/export terminals World Regions Coal Asia coal consumption by country, 1980-2010 (animation)

186

Highlighting High Performance: The Philip Merrill Environmental Center; Chesapeake Bay Foundation, Annapolis, Maryland  

SciTech Connect

Case study on high performance building features of the Chesapeake Bay Foundation's Philip Merrill Environmental Center.

Not Available

2002-04-01T23:59:59.000Z

187

Parabolic-like maps  

E-Print Network (OSTI)

In this paper we introduce the notion of parabolic-like mapping, which is an object similar to a polynomial-like mapping, but with a parabolic external class, i.e. an external map with a parabolic fixed point. We prove a straightening theorem for parabolic-like maps, which states that any parabolic-like map of degree 2 is hybrid conjugate to a member of the family Per_1(1), and this member is unique (up to holomorphic conjugacy) if the filled Julia set of the parabolic-like map is connected.

Lomonaco, Luciana Luna Anna

2011-01-01T23:59:59.000Z

188

Prospects For Precision Measurements with Reactor Antineutrinos at Daya Bay  

E-Print Network (OSTI)

In 2012 the Daya Bay experiment made an unambiguous observation of reactor antineutrino disappearance over kilometer-long baselines and determined that the neutrino mixing angle $\\theta_{13}$ is non-zero. The measurements of Daya Bay have provided the most precise determination of $\\theta_{13}$ to date. This whitepaper outlines the prospects for precision studies of reactor antineutrinos at Daya Bay in the coming years. This includes precision measurements of sin$^2 2\\theta_{13}$ and $\\Delta m^2_{ee}$ to $reactor flux and spectrum, and non-standard physics searches.

The Daya Bay Collaboration

2013-09-30T23:59:59.000Z

189

TEC Rail TG Summary_Green Bay  

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

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

190

Massachusetts Bay Trans Auth | Open Energy Information  

Open Energy Info (EERE)

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

191

Automated reaction mapping  

Science Conference Proceedings (OSTI)

Automated reaction mapping is a fundamental first step in the analysis of chemical reactions and opens the door to the development of sophisticated chemical kinetic tools. This article formulates the reaction mapping problem as an optimization problem. ... Keywords: Cheminformatics, mechanisms

John D. Crabtree; Dinesh P. Mehta

2009-02-01T23:59:59.000Z

192

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Solar Maps  

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

the Solar Maps Development - How the Maps Were Made page. Thumbnail image of the national solar photovoltaics (PV) resource potential in the United States map. Thumbnail image of...

193

Quadtree relief mapping  

Science Conference Proceedings (OSTI)

Relief mapping is an image based technique for rendering surface details. It simulates depth on a polygonal model using a texture that encodes surface height. The presented method incorporates a quadtree structure to achieve a theoretically proven performance ... Keywords: image based rendering, pixel based displacement mapping, quadtree, relief mapping, surface details

M. F. A. Schroders; R. v. Gulik

2006-09-01T23:59:59.000Z

194

Quantitative DNA fiber mapping  

DOE Patents (OSTI)

The present invention relates generally to the DNA mapping and sequencing technologies. In particular, the present invention provides enhanced methods and compositions for the physical mapping and positional cloning of genomic DNA. The present invention also provides a useful analytical technique to directly map cloned DNA sequences onto individual stretched DNA molecules.

Gray, Joe W. (San Francisco, CA); Weier, Heinz-Ulrich G. (Oakland, CA)

1998-01-01T23:59:59.000Z

195

EIA - Natural Gas Pipeline Network - Regional Definitions  

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

Definitions Map Definitions Map About U.S. Natural Gas Pipelines - Transporting Natural Gas based on data through 2007/2008 with selected updates Regional Definitions The regions defined in the above map are based upon the 10 Federal Regions of the U.S. Bureau of Labor Statistics. The State groupings are as follows: Northeast Region - Federal Region 1: Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. Federal Region 2: New Jersey, and New York. Federal Region 3:Delaware, District of Columbia, Maryland, Pennsylvania, Virginia, and West Virginia. Southeast Region - Federal Region 4: Alabama, Florida, Georgia, Kentucky, Mississippi, North Carolina, South Carolina, and Tennessee. Midwest Region - Federal Region 5: Illinois, Indiana, Michigan, Minnesota, Ohio, and

196

Stratigraphic controls on fluid distribution: An example from Prudhoe Bay, Alaska  

SciTech Connect

Oil, gas, and water distribution in three drill sites (1 79 wells) studied in the Prudhoe Bay Field is controlled dominantly by sandstone and shale stratigraphy. Detailed reservoir description, encompassing genetic-stratigraphic correlations and three-dimensional reservoir modeling has provided a new look at the locations of remaining reserves in the upper Romeo and Tango intervals of the Ivishak Sandstone. Greater than 22 billion stock tank barrels constitute in-place oil reserves in Prudhoe Bay Field. Production in excess of nine billion barrels, in conjunction with waterflood and tertiary-recovery projects, has created a complex distribution of reservoir fluids. As oil is produced, the gas-cap expands and intersects laterally extensive shales to form gas underruns. Underruns are of great economic concern as they disrupt the NLOC and segregate oil lenses as well as causing high GOR wells. Recovering these oil lenses at low GORs requires precise analysis of in-place fluids, well placement, and completion strategy. Core descriptions and stratigraphic correlations provided the basis for facies interpretations and the deterministic division of the strata into twenty-four reservoir layers (twelve sandstone and shale units). Isochore, fluid-distribution, and NILOC maps were compiled for the reservoir horizons. Stratigraphic, structural, and fluid data integrated within a three-dimensional model resulted in an improved fluid-distribution picture and revealed numerous development opportunities including infill wells, sidetracks, and recompletions.

Burns, B.A.; Knock, D.; Tye, R.S. (ARCO Alaska, Anchorage, AK (United States))

1996-01-01T23:59:59.000Z

197

Airborne gamma-ray spectrometer and magnetometer survey Coos Bay, Oregon. Final report  

Science Conference Proceedings (OSTI)

During the months of August, September, and October of 1980, Aero Service Division Western Geophysical Company of America conducted an airborne high sensitivity gamma-ray spectrometer and magnetometer survey over ten (10) areas over northern California and southwestern Oregon. These include the 2/sup 0/ x 1/sup 0/ NTMS quadrangles of Roseburg, Medford, Weed, Alturas, Redding, Susanville, Ukiah, and Chico along with the 1/sup 0/ x 2/sup 0/ areas of the Coos Bay quadrangle and the Crescent City/Eureka areas combined. This report discusses the results obtained over the Coos Bay, Oregon, map area. Line spacing was generally six miles for east/west traverses and eighteen miles for north/south tie lines over the northern one-half of the area. Traverses and tie lines were flown at three miles and twelve miles respectively over the southern one-half of the area. A total of 16,880.5 line miles of geophysical data were acquired, compiled, and interpreted during the survey, of which 863.8 line miles are in this quadrangle.

Not Available

1981-05-01T23:59:59.000Z

198

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

Open Energy Info (EERE)

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

199

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

Open Energy Info (EERE)

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

200

East Bay Municipal Util Dist | Open Energy Information  

Open Energy Info (EERE)

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

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


201

Aerial survey of Bay Area continues through Saturday | National Nuclear  

National Nuclear Security Administration (NNSA)

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

202

JAMAICA BAY TASK FORCE MEETING Tuesday April 6, 2010  

E-Print Network (OSTI)

Len Houston, U.S. Army Corps of Engineers (USACE) 7:30 Liquefied Natural Gas (LNG) Update Dan Mundy Jr., Jamaica Bay EcoWatchers 7:50 Recent Nitrogen Agreement with NYC Brad Sewell, Natural Resources Defense

Columbia University

203

Assembly and Installation of the Daya Bay Antineutrino Detectors  

E-Print Network (OSTI)

The Daya Bay reactor antineutrino experiment is designed to make a precision measurement of the neutrino mixing angle theta13, and recently made the definitive discovery of its nonzero value. It utilizes a set of eight, functionally identical antineutrino detectors to measure the reactor flux and spectrum at baselines of 300 - 2000m from the Daya Bay and Ling Ao Nuclear Power Plants. The Daya Bay antineutrino detectors were built in an above-ground facility and deployed side-by-side at three underground experimental sites near and far from the nuclear reactors. This configuration allows the experiment to make a precision measurement of reactor antineutrino disappearance over km-long baselines and reduces relative systematic uncertainties between detectors and nuclear reactors. This paper describes the assembly and installation of the Daya Bay antineutrino detectors.

H. R. Band; R. L. Brown; R. Carr; X. C. Chen; X. H. Chen; J. J. Cherwinka; M. C. Chu; E. Draeger; D. A. Dwyer; W. R. Edwards; R. Gill; J. Goett; L. S. Greenler; W. Q. Gu; W. S. He; K. M. Heeger; Y. K. Heng; P. Hinrichs; T. H. Ho; M. Hoff; Y. B. Hsiung; Y. Jin; L. Kang; S. H. Kettell; M. Kramer; K. K. Kwan; M. W. Kwok; C. A. Lewis; G. S. Li; N. Li; S. F. Li; X. N. Li; C. J. Lin; B. R. Littlejohn; J. L. Liu; K. B. Luk; X. L. Luo; X. Y. Ma; M. C. McFarlane; R. D. McKeown; Y. Nakajima; J. P. Ochoa-Ricoux; A. Pagac; X. Qian; B. Seilhan; K. Shih; H. Steiner; X. Tang; H. Themann; K. V. Tsang; R. H. M. Tsang; S. Virostek; L. Wang; W. Wang; Z. M. Wang; D. M. Webber; Y. D. Wei; L. J. Wen; D. L. Wenman; J. Wilhelmi; M. Wingert; T. Wise; H. L. H. Wong; F. F. Wu; Q. Xiao; L. Yang; Z. J. Zhang; W. L. Zhong; H. L. Zhuang

2013-09-06T23:59:59.000Z

204

BayWa Sunways JV | Open Energy Information  

Open Energy Info (EERE)

JV that specialises in developing, planning and realizing medium-sized to large photovoltaic systems and solar plants. References BayWa & Sunways JV1 LinkedIn Connections...

205

Core Structure of a Bay of Bengal Monsoon Depression  

Science Conference Proceedings (OSTI)

Summer MONEX aircraft flight level and dropwindsonde data have been used to examine the central core structure of a mature Bay of Bengal monsoon depression on 7 July 1979. Continuous aircraft data including cloud photographs were obtained at ...

Charles Warner

1984-01-01T23:59:59.000Z

206

Turbulence, Acoustic Backscatter, and Pelagic Nekton in Monterey Bay  

Science Conference Proceedings (OSTI)

During August 2006 aggregations of nekton, most likely small fish, intersected microstructure survey lines in Monterey Bay, California, providing an opportunity to examine biologically generated mixing. Some aggregations filled the water column, ...

Michael C. Gregg; John K. Horne

2009-05-01T23:59:59.000Z

207

maps | OpenEI Community  

Open Energy Info (EERE)

- 15:22 Multicolor Maps from Compound Queries ask queries compound queries developer Google maps maps multicolor result formats results Semantic Mediawiki Hi all, Recently, a...

208

Space Conditioning Technology Options for High-Bay Facilities  

Science Conference Proceedings (OSTI)

High-bay facility owners are considering the addition of space conditioning systems and technologies to improve their operations. This trend creates an opportunity for utility representatives to provide sound guidance on space conditioning system selection alternatives and other energy efficiency options to cost-effectively meet the owners requirements. This report describes the common heating and cooling technologies applicable to high-bay facilities and analyzes the strengths and weaknesses of each in...

2007-12-18T23:59:59.000Z

209

Historical Maps Online  

E-Print Network (OSTI)

For 20 years, David Rumsey assembled a collection of more than 150,000 historical maps of the Americas and the world. Motivated by a desire to make his private map collection a free public resource, Rumsey then created an online map library, http://www.davidrumsey.com/, which currently has over 10,000 high resolution images of maps from his collection. He has also built a suite of tools for users to experience and interpret the maps online. These include GIS, which allows users to combine historical maps with modern geospatial data to see change over time. The online map collection can be accessed over the Internet from search engines, library catalogs, GIS databases and many other entry points. Rumsey continues to add new content to the online collection and develops new tools that improve both the user experience and the online library architecture.

Rumsey, David Y.

2005-01-31T23:59:59.000Z

210

Mapping Floating and Emergent Aquatic Vegetation in Coastal Wetlands of Eastern Georgian Bay,  

E-Print Network (OSTI)

), marine systems (Wang et al. 2004), upland coastal habitats (Grenier et al. 2007; Rokitnicki- Wojcik 2009 using Ikonos imagery. Canadian Journal of Remote Sensing 34(2):143­158 Fournier RA, Grenier M, Lavoie A Creek, Michigan. U.S. Geological Survey, Scientific Investigations Report 2006­5051, 8 p Grenier M

McMaster University

211

Gulf of Mexico Regional Collaborative Final Report  

Science Conference Proceedings (OSTI)

This report presents the results of the Gulf of Mexico Regional Collaborative (GoMRC), a year-long project funded by NASA. The GoMRC project was organized around end user outreach activities, a science applications team, and a team for information technology (IT) development. Key outcomes are summarized below for each of these areas. End User Outreach ? Successfully engaged federal and state end users in project planning and feedback ? With end user input, defined needs and system functional requirements ? Conducted demonstration to End User Advisory Committee on July 9, 2007 and presented at Gulf of Mexico Alliance (GOMA) meeting of Habitat Identification committee ? Conducted significant engagement of other end user groups, such as the National Estuary Programs (NEP), in the Fall of 2007 ? Established partnership with SERVIR and Harmful Algal Blooms Observing System (HABSOS) programs and initiated plan to extend HABs monitoring and prediction capabilities to the southern Gulf. ? Established a science and technology working group with Mexican institutions centered in the State of Veracruz. Key team members include the Federal Commission for the Protection Against Sanitary Risks (COFEPRIS), the Ecological Institute (INECOL) a unit of the National Council for science and technology (CONACYT), the Veracruz Aquarium (NOAAs first international Coastal Ecology Learning Center) and the State of Veracruz. The Mexican Navy (critical to coastal studies in the Southern Gulf) and other national and regional entities have also been engaged. ? Training on use of SERVIR portal planned for Fall 2007 in Veracruz, Mexico Science Applications ? Worked with regional scientists to produce conceptual models of submerged aquatic vegetation (SAV) ecosystems ? Built a logical framework and tool for ontological modeling of SAV and HABs ? Created online guidance for SAV restoration planning ? Created model runs which link potential future land use trends, runoff and SAV viability ? Analyzed SAV cover change at five other bays in the Gulf of Mexico to demonstrate extensibility of the analytical tools ? Initiated development of a conceptual model for understanding the causes and effects of HABs in the Gulf of Mexico IT Tool Development ? Established a website with the GoMRC web-based tools at www.gomrc.org ? Completed development of an ArcGIS-based decision support tool for SAV restoration prioritization decisions, and demonstrated its use in Mobile Bay ? Developed a web-based application, called Conceptual Model Explorer (CME), that enables non-GIS users to employ the prioritization model for SAV restoration ? Created CME tool enabling scientists to view existing, and create new, ecosystem conceptual models which can be used to document cause-effect relationships within coastal ecosystems, and offer guidance on management solutions. ? Adapted the science-driven advanced web search engine, Noesis, to focus on an initial set of coastal and marine resource issues, including SAV and HABs ? Incorporated map visualization tools with initial data layers related to coastal wetlands and SAVs

Judd, Kathleen S.; Judd, Chaeli; Engel-Cox, Jill A.; Gulbransen, Thomas; Anderson, Michael G.; Woodruff, Dana L.; Thom, Ronald M.; Guzy, Michael; hardin, danny; Estes, Maury

2007-12-01T23:59:59.000Z

212

Cathodic Protection of the Yaquina Bay Bridge  

SciTech Connect

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.

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

213

On Thurston's pullback map  

E-Print Network (OSTI)

Let f: P^1 \\to P^1 be a rational map with finite postcritical set P_f. Thurston showed that f induces a holomorphic map \\sigma_f of the Teichmueller space T modelled on P_f to itself fixing the basepoint corresponding to the identity map (P^1, P_f) \\to (P^1, P_f). We give explicit examples of such maps f showing that the following cases may occur: (1) the basepoint is an attracting fixed point, the image of \\sigma_f is open and dense, and the map \\sigma_f is a covering map onto its image; (2) the basepoint is a superattracting fixed point, \\sigma is surjective, and \\sigma is a ramified Galois covering, (3) \\sigma_f is constant.

Buff, Xavier; Koch, Sarah; Pilgrim, Kevin

2011-01-01T23:59:59.000Z

214

The Map Comparison Kit  

Science Conference Proceedings (OSTI)

Comparing maps is an important issue in environmental research. There are many reasons to compare maps: (i) to detect temporal/spatial changes or hot-spots, (ii) to compare different models, methodologies or scenarios, (iii) to calibrate, validate land-use ... Keywords: Calibration, Fuzzy kappa, Fuzzy-set map comparison, Geographic Information System, Hierarchical fuzzy pattern matching, Kappa, Land-use models, Remote sensing

H. Visser; T. de Nijs

2006-03-01T23:59:59.000Z

215

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

216

Maps | Department of Energy  

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

About Energy.gov » News & Blog » Maps About Energy.gov » News & Blog » Maps Maps Map Title Topics - Any - Tax Credits, Rebates, Savings Energy Efficiency -Homes --Heating & Cooling ---Heating ---Cooling ---Heat Pumps --Water Heating ---Swimming Pool Heaters --Home Weatherization ---Home Energy Audits ---Insulation ---Sealing Your Home ---Ventilation --Saving Electricity ---Lighting ---Appliances & Electronics ---Buying & Making Electricity --Design & Remodeling ---Windows, Doors, & Skylights --Landscaping -Vehicles --Alternative Fuel Vehicles --Fuel Economy --Batteries --Biofuels --Clean Cities -Building Design --Construction --Commercial Weatherization --Commercial Heating & Cooling --Commercial Lighting --Solar Decathlon -Manufacturing Energy Sources -Renewables --Solar ---SunShot --Wind --Water

217

RMOTC RMOTC -Site Map  

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

Site Map Home About Us About Us Staff Field Info History Photo Gallery Awards & Testimonials Safety Initiatives Outreach & Community News Latest News Newsletters Press Releases...

218

Natural gas hydrates of the Prudhoe Bay and Kuparuk River area, North Slope, Alaska  

SciTech Connect

Gas hydrates are crystalline substances composed of water and gas, mainly methane, in which a solid-water lattice accommodates gas molecules in a cage-like structure, or clathrate. These substances commonly have been regarded as a potential unconventional source of natural gas because of their enormous gas-storage capacity. Significant quantities of naturally occurring gas hydrates have been detected in many regions of the Arctic, including Siberia, the Mackenzie River Delta, and the North Slope of Alaska. On the North Slope, the methane-hydrate stability zone is a really extensive beneath most of the coastal plain province and has thicknesses greater than 1000 m in the Prudhoe Bay area. Gas hydrates have been inferred to occur in 50 North Slope exploratory and production wells on the basis of well-log responses calibrated to the response of an interval in a well where gas hydrates were recovered in a core by ARCO and Exxon. Most North Slope gas hydrates occur in six laterally continuous lower Tertiary sandstones and conglomerates; all these gas hydrates are geographically restricted to the area overlying the eastern part of the Kuparuk River oil field and the western part of the Prudhoe Bay oil field. The volume of gas within these gas hydrates is estimated to be about 1.0 [times] 10[sup 12] to 1.2 [times] 10[sup 12] m[sup 3] (37 to 44 tcf), or about twice the volume of conventional gas in the Prudhoe Bay field. 52 refs., 13 figs., 2 tabs.

Collett, T.S. (Geological Survey, Denver, CO (United States))

1993-05-01T23:59:59.000Z

219

Positioning using local maps  

Science Conference Proceedings (OSTI)

It is often useful to know the positions of nodes in a network. However, in a large network it is impractical to build a single global map. In this paper, we present a new approach for distributed localization called Positioning using Local Maps (PLM). ... Keywords: Localization, Multidimensional scaling, Multilateration, Relative position estimation

Yi Shang; Wheeler Ruml; Markus P. J. Fromherz

2006-03-01T23:59:59.000Z

220

National Magnetic Anomaly Map  

DOE Green Energy (OSTI)

A record of the conclusions of a three-day meeting and workshop of the Committee for a National Magnetic Anomaly Map held in February 1976 is presented. The purpose of he workshop was to prepare a statement of the benefits, objectives, specifications, and requirements of a NMAM and establish a working plan for producing the map. (ACR)

Not Available

1976-01-01T23:59:59.000Z

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


221

Integrated Management Requirements mapping  

Science Conference Proceedings (OSTI)

This document contains five appendices documenting how Sandia implemented the DOE Conduct of Operations (5480.19) and DOE Quality Assurance (5700.6C) orders. It provides a mapping of the Sandia integrated requirements to the specific requirements of each Order and a mapping to Sandia's approved program for implementing the Conduct of Operations Order.

Holmes, J.T.; Andrews, N.S.

1992-06-01T23:59:59.000Z

222

Damping and Phase Advance of the Tide in Western Hudson Bay by the Annual Ice Cover  

Science Conference Proceedings (OSTI)

Admittance analysts of yearlong current meter records and tidal height data shows that the annual ice cover affects the tidal currents and heights in Hudson Bay. Along the west coast of the bay, the semidiurnal tidal current and height are ...

S. J. Prinsenberg

1988-11-01T23:59:59.000Z

223

Bay County, Florida ASHRAE 169-2006 Climate Zone | Open Energy...  

Open Energy Info (EERE)

Bay County, Florida ASHRAE 169-2006 Climate Zone Jump to: navigation, search County Climate Zone Place Bay County, Florida ASHRAE Standard ASHRAE 169-2006 Climate Zone Number...

224

Scaling up Secondary Unit Production in the East Bay: Impacts and Policy Implications  

E-Print Network (OSTI)

of Oaklands housing units. The neighborhoods 05 Scaling up Secondary Unit Production in the East Bay:S CALING UP SECONDARY UNIT PRODUCTION IN THE E AST

Wegmann, Jake; Nemirow, Alison; Chapple, Karen

2012-01-01T23:59:59.000Z

225

A Flushing Model of Onslow Bay, North Carolina, Based on Intrusion Volumes  

Science Conference Proceedings (OSTI)

Onslow Bay, North Carolina, is repeatedly flushed by intrusions of Gulf Stream water. An exponential dilution model based on intrusion models indicates 2060 days are required for 50% dilution of Bay waters.

Larry P. Atkinson; Leonard J. Pietrafesa

1980-03-01T23:59:59.000Z

226

DOE - Office of Legacy Management -- W R Grace Co - Curtis Bay...  

Office of Legacy Management (LM)

Curtis Bay Plant Waste Disposal Area; October 5, 1978 MD.01-5 - ECT Follow-Up Report; An Aerial Radiological Survey of the Curtis Bay Facility of the W. R. Grace Company; November...

227

Recent Sediments of Bolinas Bay, California: Part C -- Interpretation and Summary of Results  

E-Print Network (OSTI)

Bay indicates a source in the Franciscan rocks bordering themetamorphic rock of minerals to represent sources. of rock (rock enters the bay, indicating significant contributions of sediment from these sources.

Wilde, Pat; Isselhardt, C.; Osuch, L.; Yancey, T.

1969-01-01T23:59:59.000Z

228

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

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

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...

229

map | OpenEI  

Open Energy Info (EERE)

map map Dataset Summary Description (Abstract): A map depicting model estimates of monthly average daily total radiation using inputs derived from satellite and surface observations of cloud cover, aerosol optical depth, precipitable water vapor, albedo, atmospheric pressure and ozone sampled at a 40km resolution. (Purpose): A visual depiction of solar energy resource for photovoltaic power systems. Source NREL Date Released December 11th, 2003 (11 years ago) Date Updated October 30th, 2007 (7 years ago) Keywords Cuba GEF GHI map NREL solar SWERA UNEP Data application/pdf icon Download Maps (pdf, 1.3 MiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Please cite NREL and UNEP SWERA.

230

maps | OpenEI  

Open Energy Info (EERE)

maps maps Dataset Summary Description (Abstract): 50 m wind power density (W/m2) maps of Sri Lanka (Purpose): To provide information on the wind resource potential within Sri Lanka, with supplemental information on political boundaries, transmission lines, roads, and terrain relief. Source NREL Date Released June 30th, 2004 (10 years ago) Date Updated November 01st, 2007 (7 years ago) Keywords GEF GIS maps NREL Sri Lanka SWERA UNEP wind Data application/zip icon Download Maps (zip, 799.1 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Public Domain Dedication and Licence (PDDL) Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset

231

NOAA's nowCOAST Web Mapping Portal to Near-Real-Time Coastal...  

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

NOAA's nowCOAST Web Mapping Portal to Near-Real-Time Coastal Information Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov ...

232

Mapping Frost Occurrence Using Satellite Data  

Science Conference Proceedings (OSTI)

Detailed maps of the date of the first and last frost, the length of the frost-free period, and the number of days of frost during spring have been produced for the Otago region of New Zealand. These frost occurrence variables are estimated using ...

Andrew Tait; Xiaogu Zheng

2003-02-01T23:59:59.000Z

233

Ice Storm Database and Ice Severity Maps  

Science Conference Proceedings (OSTI)

Historical icing information has several valuable uses in overhead transmission line ice loading design and research. Previously, this type of information was neither readily available nor easily acquired. This report describes the creation of an electronic ice storm database and regional ice severity maps for the United States.

1996-12-17T23:59:59.000Z

234

Chesapeake Bay Restoration Act (Maryland) | Department of Energy  

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

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

235

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

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

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

236

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

Open Energy Info (EERE)

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

237

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

238

NREL: Dynamic Maps, GIS Data, and Analysis Tools Home Page  

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

The Dynamic Maps, Geographic Information System (GIS) Data and Analysis The Dynamic Maps, Geographic Information System (GIS) Data and Analysis Tools website provides maps, data and tools for renewable energy resources that determine which energy technologies are viable solutions in domestic and international regions. MapSearch - While this site contains detailed information and quality data, if you want to search for the latest and most up-to-date maps created by NREL, please visit our MapSearch: http://www.nrel.gov/gis/mapsearch/ Renewable Energy Technical Potential with the image of a presentation slide with map. The National Renewable Energy Laboratory's GIS team analyzes wind, solar, biomass, geothermal, and other energy resources and inputs the data into the GIS. Read more about how NREL's GIS staff and capabilities enhance the

239

Digital Mapping Of Structurally Controlled Geothermal Features With Gps  

Open Energy Info (EERE)

Digital Mapping Of Structurally Controlled Geothermal Features With Gps Digital Mapping Of Structurally Controlled Geothermal Features With Gps Units And Pocket Computers Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Digital Mapping Of Structurally Controlled Geothermal Features With Gps Units And Pocket Computers Details Activities (1) Areas (1) Regions (0) Abstract: Hand-held global positioning system (GPS) units and pocket personal computers (PCs) were used to map surface geothermal features at the Bradys Hot Springs and Salt Wells geothermal systems, Churchill County, Nevada, in less time and with greater accuracy than would have been possible with conventional mapping methods. Geothermal features that were mapped include fumaroles, mud pots, warm ground, sinter, and a variety of silicified rocks. In both areas, the digital mapping was able to resolve

240

Outside a Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Outside a Geothermal Region Outside a Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Outside a Geothermal Region Details Areas (1) Power Plants (1) Projects (0) Techniques (0) This is a category for geothermal areas added that do not fall within an existing geothermal region. As a number of these accumulate on OpenEI, new regions can be created and areas moved into those regions accordingly. Geothermal Regions Map[1] References ↑ "Geothermal Regions Map" Geothermal Region Data State(s) Wyoming, Colorado Area USGS Resource Estimate for this Region Identified Mean Potential Undiscovered Mean Potential Planned Capacity Planned Capacity Plants Included in Planned Estimate Plants with Unknown Planned Capacity Geothermal Areas within the Outside a Geothermal Region

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


241

Pacific Region Combined Heat and Power Projects | Department of Energy  

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

Pacific Region Combined Heat and Power Projects Pacific Region Combined Heat and Power Projects Pacific Region Combined Heat and Power Projects November 1, 2013 - 11:40am Addthis DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs. Pacific www.pacificCHPTAP.org Terry Clapham California Center for Sustainable Energy 858-244-4872 terry.clapham@energycenter.org California Alameda County Santa Rita Jail, Dublin Burlingame Wastewater Treatment Plant, Burlingame Chiquita Water Reclamation Plant, Santa Margarita DGS Central Plant, Sacramento East Bay Municipal Utility District, Oakland East Bay Municipal Utility District WWTP, Oakland EMWD Microturbine Energy System, Riverside County

242

Pacific Region Combined Heat and Power Projects | Department of Energy  

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

Pacific Region Combined Heat and Power Projects Pacific Region Combined Heat and Power Projects Pacific Region Combined Heat and Power Projects November 1, 2013 - 11:40am Addthis DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs. Pacific www.pacificCHPTAP.org Terry Clapham California Center for Sustainable Energy 858-244-4872 terry.clapham@energycenter.org California Alameda County Santa Rita Jail, Dublin Burlingame Wastewater Treatment Plant, Burlingame Chiquita Water Reclamation Plant, Santa Margarita DGS Central Plant, Sacramento East Bay Municipal Utility District, Oakland East Bay Municipal Utility District WWTP, Oakland EMWD Microturbine Energy System, Riverside County

243

Site Map - Pantex Plant  

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

Site Map Site Map Site Map Page Content Pantex.com Mission & Strategies Mission National Security Nuclear Explosive Operations Nuclear Material Operations HE Operations Strategies Advance HE Center of Excellence Exemplify a High Reliability Organization Health & Safety Safety Training Occupational Medicine Contractor Safety Environment Environmental Projects & Operations Regulatory Compliance Waste Operations Environmental Management System Environmental Document Library Public Meetings Doing Business With Pantex Procurement How We Buy Subcontracting Opportunities Supplier Information Profile Suspect/Counterfiet Items Business Definitions Documents and Forms Accounts Payable Work for Others Our Capabilities How to do Business with the Pantex eXMC Employee Information Benefits

244

Wind Resource Mapping for United States Offshore Areas: Preprint  

DOE Green Energy (OSTI)

The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) is producing validated wind resource maps for priority offshore regions of the United States. This report describes the methodology used to validate the maps and to build a Geographic Information Systems (GIS) database to classify the offshore wind resource by state, water depth, distance from shore, and administrative unit.

Elliott, D.; Schwartz, M.

2006-06-01T23:59:59.000Z

245

Does DaYa-Bay Reactor Play an Important Role in Theta_{13} of Lepton Mixing (PMNS) Matrix ?  

E-Print Network (OSTI)

Reactor neutrinos play an important role in determining parameter theta_{13} in the lepton mixing (PMNS) matrix. Next important step on measuring PMNS matrix could be to build another reactor neutrino experiment in DaYa bay, China, to search the possible oscillations via sin^2 (2theta_{13}) and Delta m^2_{13}. We consider 4 different schemes for positions of three 8-ton detectors of this experiment, and simulate the results with respect to an array of assumed ''true'' values of physics parameters. Using three kinds of analysis method, we suggest a best scheme for DaYa-Bay which is to place a detector 2200m ~ 2500m symmetrically away from two reactors, and to put the other two detectors closer to their corresponding reactors respectively, almost at a 100m \\~ 200m distance. Moreover, with conservative assumption on the experimental technique, we construct series of allowed regions from our simulation results, and give detailed explanations therein. The movable detectors in DaYa-Bay can measure solar neutrino pa...

Liu, Q Y; Chen, B L; Yang, P

2004-01-01T23:59:59.000Z

246

Aerial Thermal Infrared Mapping Of The Waimangu-Waiotapu Geothermal...  

Open Energy Info (EERE)

Aerial Thermal Infrared Mapping Of The Waimangu-Waiotapu Geothermal Region, New Zealand - M A Mongillo, Geothermics, 23(5-6), 1994, Pp 511-526 Jump to: navigation, search...

247

Improved Mapping of Tropospheric Delays  

Science Conference Proceedings (OSTI)

The authors compare several methods to map the a priori tropospheric delay of global positioning system (GPS) signals from the zenith direction to lower elevations. This is commonly achieved with so-called mapping functions. Dry mapping functions ...

Christian Rocken; Sergey Sokolovskiy; James M. Johnson; Doug Hunt

2001-07-01T23:59:59.000Z

248

Semantic mapping using mobile robots  

Science Conference Proceedings (OSTI)

Robotic mapping is the process of automatically constructing an environment representation using mobile robots. We address the problem of semantic mapping, which consists of using mobile robots to create maps that represent not only metric occupancy ...

Denis Fernando Wolf / Gaurav S. Sukhatme

2006-01-01T23:59:59.000Z

249

Web Site Map  

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

Help » Web Site Map Help » Web Site Map Web Site Map The links listed below include all pages on the site except document topic pages. Home Privacy/Security Help Web Site Map Mailing Services Remove me from the List Contact Us About Us News and Events News Archives News/Media FAQs Internet Resources Documents DUF6 EIS Historical Context What is an EIS? Why EIS is Needed Who is Responsible? EIS Process EIS Topics EIS Alternatives EIS Schedule Public Involvement Opportunities Public Comment Form For More Info DUF6 Management and Uses Management Responsibilities DUF6 Storage How DUF6 is Stored Where DUF6 is Stored Cylinder Leakage DUF6 Storage Safety DUF6 PEIS Cylinder Surveillance and Maintenance Conversion Potential DU Uses "Business Case" for R&D on Beneficial Uses of DU Catalysts for Destruction of Air Pollutants

250

Directions and Maps  

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

Directions & Maps Directions & Maps Plan Your Visit Visit About the Museum Museum Hours Directions & Maps When to Visit Arrange for a Visit Around Los Alamos Contact Us invisible utility element Directions and Maps Aerial View of Los Alamos Aerial approach to the Los Alamos airport Where we're located Los Alamos (elevation 7,355 feet) is perched high atop the Pajarito Plateau in the Jemez Mountains, 35 miles northwest of Santa Fe. The Bradbury Science Museum is located in downtown Los Alamos at the corner of Central Avenue and 15th Street. If you're driving here and using GPS navigation, our address is 1350 Central Avenue, Los Alamos, NM 87544. How to get here From Albuquerque take I-25 north to Santa Fe (take NM 599 for most direct route), then US 84/285 north to Pojoaque. At Pojoaque take the NM 502 exit

251

Maps & Directions | ORNL  

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

Maps & Directions ORNL is located in Roane County, Tennessee, about 7 miles from the center of the city of Oak Ridge and about 25 miles from the McGhee Tyson Airport near...

252

VIEW ALL MAPS  

Science Conference Proceedings (OSTI)

Use these following maps and floor plans to help locate where you need to go. If you need assistance, ask any TMS Staff member or stop by the Membership...

253

ARM - Instrument - maps  

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

govInstrumentsmaps Documentation MAPS : XDC documentation ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

254

CistromeMap  

Science Conference Proceedings (OSTI)

Summary: Transcription and chromatin regulators, and histone modifications play essential roles in gene expression regulation. We have created CistromeMap as a web server to provide a comprehensive knowledgebase of all of the publicly available ...

Bo Qin; Meng Zhou; Ying Ge; Len Taing; Tao Liu; Qian Wang; Su Wang; Junsheng Chen; Lingling Shen; Xikun Duan; Sheng'en Hu; Wei Li; Henry Long; Yong Zhang; X. Shirley Liu

2012-05-01T23:59:59.000Z

255

NREL: MapSearch  

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

to easily search our collection of maps created by the Geographic Information System (GIS) team. Please use the search box and the filters on the left of the screen to limit...

256

Space Mapping - Optimization Online  

E-Print Network (OSTI)

Thus, we can usec oPto locally minimize the surrogatecoP that the space. mappingP provides for the fine model.An alternative surrogate introduced byMadsen...

257

Wind Resource Maps (Postcard)  

DOE Green Energy (OSTI)

The U.S. Department of Energy's Wind Powering America initiative provides high-resolution wind maps and estimates of the wind resource potential that would be possible from development of the available windy land areas after excluding areas unlikely to be developed. This postcard is a marketing piece that stakeholders can provide to interested parties; it will guide them to Wind Powering America's online wind energy resource maps.

Not Available

2011-07-01T23:59:59.000Z

258

PNW Region  

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

Area Map EV Micro-Climate Plan for the State of Tennessee June 2011 4 3 Electric Vehicle Charging Station Technology 3.1 Standard Level 2 EVSE Connector For wide spread EV...

259

Map Data: State Spending | Department of Energy  

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

Spending Map Data: State Spending sedsstatespendingpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

260

Map Data: State Consumption | Department of Energy  

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

Consumption Map Data: State Consumption stateconsumptionpc2009.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending...

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


261

ENSO modulated cyclogenesis over the Bay of Bengal  

Science Conference Proceedings (OSTI)

The role of El Nio Southern Oscillation (ENSO) on the modulation of tropical cyclone activity over the Bay of Bengal (BoB) for the 1979-2011 period is examined. It is shown that Nio3.4 sea surface temperature (SST) anomalies are negatively ...

Clifford S. Felton; Bulusu Subrahmanyam; V. S. N. Murty

262

Map Data: DOE Facilities | Department of Energy  

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

DOE Facilities Map Data: DOE Facilities doefacilities.csv More Documents & Publications Map Data: Renewable Production Map Data: State Spending Map Data: State Consumption...

263

Site Map - Energy Innovation Portal  

Energy Innovation Portal. Home. Site Map; ... Solar Thermal; Startup America; ... National Aeronautics and Space Administration;

264

Site Map - EERE Commercialization Office  

Quick Links. Energy Innovation Portal; Site Map Commercialization Home Page. About. Success Stories; Legacy Initiatives

265

SRNL - Directions and Maps  

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

Map of SRS, with Georgia and South Carolina Map of SRS, with Georgia and South Carolina Directions and Maps The Savannah River National Laboratory is located at the Savannah River Site , a 310 square mile site located in the southeastern coastal area of the United States in the state of South Carolina. It is bordered to the west by the Savannah River and Georgia, and is close to several major cities, including Augusta and Savannah (Ga.), Columbia, Greenville, and Charleston (S.C.). It is in an area residents refer to as the Central Savannah River Area, or CSRA. The Aiken County Technology Laboratory (which houses SRNL's biotechnology laboratories and certain waste treatment technology laboratories) and the Center for Hydrogen Research are located at Aiken County's Savannah River Research Campus, located adjacent to SRS.

266

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

267

mapping | OpenEI  

Open Energy Info (EERE)

mapping mapping Dataset Summary Description (Abstract): Latitude Tilt Irradiance NASA Surface meteorology and Solar Energy (SSE) Release 6.0 Data Set (Jan 2008)22-year Monthly & Annual Average (July 1983 - June 2005) Parameter: Latitude Tilt Radiation (kWh/m^2/day) Internet: http://eosweb.larc.nasa.gov/sse/ Note 1: SSE Methodology & Accuracy sections online Source U.S. National Aeronautics and Space Administration (NASA), Surface meteorology and Solar Energy (SSE) Date Released March 31st, 2009 (5 years ago) Date Updated April 01st, 2009 (5 years ago) Keywords GIS global irradiance latitude mapping NASA renewable energy solar solar PV SWERA TILT UNEP Data text/csv icon Latitude Tilt Radiation (kWh/m^2/day) (csv, 11.8 MiB) application/zip icon Download Shapefile (zip, 5 MiB)

268

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

269

Mapping the Nanoscale Landscape  

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

Mapping the Nanoscale Landscape Print Mapping the Nanoscale Landscape Print For the first time, researchers have successfully mapped the chemical structure of conjugated polymer blend films with a spatial resolution of better than 50 nm using scanning transmission x-ray microscopy (STXM). This is not just another application of STXM. It is a breakthrough experiment on several levels. Correlating local composition to electronic/optical device characteristics will pave the way to characterizing a whole new class of materials with STXM-multicomponent organic electronic devices that have intrinsically nanoscale dimensions. Understanding where charge transport and recombination occur in these materials helps explain the efficient performance of polymer-based light-emitting diodes (LEDs) and will lead to a new avenue of research on organic electronic devices, supporting emerging technologies such as molecular computing and promoting increased efficiencies in existing organic technologies (organic LEDs and solar cells).

270

Manhattan Project: Site Map  

Office of Scientific and Technical Information (OSTI)

SITE MAP SITE MAP Resources > Site Map THE MANHATTAN PROJECT Events 1890s-1939: Atomic Discoveries A Miniature Solar System, 1890s-1919 Exploring the Atom, 1919-1932 Atomic Bombardment, 1932-1938 The Discovery of Fission, 1938-1939 Fission Comes to America, 1939 1939-1942: Early Government Support Einstein's Letter, 1939 Early Uranium Research, 1939-1941 Piles and Plutonium, 1939-1941 Reorganization and Acceleration, 1940-1941 The MAUD Report, 1941 A Tentative Decision to Build the Bomb, 1941-1942 1942: Difficult Choices More Uranium Research, 1942 More Piles and Plutonium, 1942 Enter the Army, 1942 Groves and the MED, 1942 Picking Horses, November 1942 Final Approval to Build the Bomb, December 1942 1942-1944: The Uranium Path to the Bomb Y-12: Design, 1942-1943 Y-12: Construction, 1943

271

Field Mapping At Coso Geothermal Area (1978) | Open Energy Information  

Open Energy Info (EERE)

Field Mapping At Coso Geothermal Area (1978) Field Mapping At Coso Geothermal Area (1978) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Field Mapping At Coso Geothermal Area (1978) Exploration Activity Details Location Coso Geothermal Area Exploration Technique Field Mapping Activity Date 1978 Usefulness not indicated DOE-funding Unknown Notes Geology and alteration mapping analyzed exposed rocks in geothermal region. Neither geologic mapping nor deep drilling have revealed potential deep primary aquifers. Surface alteration at Coso is of three main types: (1) clay-opal-alunite alteration, (2) weak argillic alteration, and (3) stockwork calcite veins and veinlets, which are locally associated with calcareous sinter. References Hulen, J. B. (1 May 1978) Geology and alteration of the Coso

272

NREL: Wind Research - Regional Test Centers  

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

Map Printable Version Regional Test Centers To increase the availability of small wind turbine testing and share field expertise, the U.S. Department of Energy (DOE) and NREL...

273

On occult period maps  

E-Print Network (OSTI)

We consider the "occult" period maps into ball quotients which exist for the moduli spaces of cubic surfaces, cubic threefolds, non-hyperelliptic curves of genus three and four. These were constructed in the work of Allcock/Carlson/Toledo, Looijenga/Swierstra, and Kondo. We interpret these maps as morphisms into moduli spaces of polarized abelian varieties of Picard type, and show that these morphisms, whose initial construction is transcendental, are defined over the natural field of definition of the spaces involved. This paper is extracted from section 15 of our paper arXiv:0912.3758, and differs from it only in some points of exposition.

Kudla, Stephen

2012-01-01T23:59:59.000Z

274

Nepal's Troubled Tarai Region  

E-Print Network (OSTI)

APPENDICES A. MAP OF NEPAL ...................................................................................................................35 B. GLOSSARY OF ACRONYMS...

International Crisis Group

2007-07-09T23:59:59.000Z

275

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Maps  

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

Bookmark and Share Bookmark and Share Maps NREL's GIS team develops maps for various renewable resources and for specific projects. As a benefit to the public, a majority of static maps are offered and Google Map (KML/KMZ) files on a tool called MapSearch. Biomass Maps Maps showing the biomass resources available in the United States by county. Feedstock categories include crop residues; forest residues; primary and secondary mill residues; urban wood waste; and methane emissions from manure management, landfills, and domestic wastewater treatment. Federal Energy Management Program The Federal Energy Management Program (FEMP) teamed with Geospatial Analysis staff at NREL to update the analysis for this project and created an interactive FEMP Screening Map application. The previous maps have been

276

Maps and inverse maps in open quantum dynamics  

Science Conference Proceedings (OSTI)

Two kinds of maps that describe evolution of states of a subsystem coming from dynamics described by a unitary operator for a larger system, maps defined for fixed mean values and maps defined for fixed correlations, are found to be quite different for the same unitary dynamics in the same situation in the larger system. An affine form is used for both kinds of maps to find necessary and sufficient conditions for inverse maps. All the different maps with the same homogeneous part in their affine forms have inverses if and only if the homogeneous part does. Some of these maps are completely positive; others are not, but the homogeneous part is always completely positive. The conditions for an inverse are the same for maps that are not completely positive as for maps that are. For maps defined for fixed mean values, the homogeneous part depends only on the unitary operator for the dynamics of the larger system, not on any state or mean values or correlations. Necessary and sufficient conditions for an inverse are stated several different ways: in terms of the maps of matrices, basis matrices, density matrices, or mean values. The inverse maps are generally not tied to the dynamics the way the maps forward are. A trace-preserving completely positive map that is unital cannot have an inverse that is obtained from any dynamics described by any unitary operator for any states of a larger system.

Jordan, Thomas F., E-mail: tjordan@d.umn.ed [Physics Department, University of Minnesota, Duluth, MN 55812 (United States)

2010-10-15T23:59:59.000Z

277

battery, map parcel, med  

E-Print Network (OSTI)

Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

Rosenthal, Jeffrey S.

278

Servant dictionary battery, map  

E-Print Network (OSTI)

Attic *** book teachest Servant dictionary scarf [11] Winery demijohn battery, map AuntLair X] EastAnnex battery[4] Cupboard2 [2] mask DeadEnd rucksack AlisonWriting [16] TinyBalcony [17] gold key. [2] Need new torch battery (see [4]) to enter. Then get painting. [3] To please aunt, must move

Rosenthal, Jeffrey S.

279

The Daya Bay Reactor Neutrino Experiment Sees Evidence that Electron  

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

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

280

Microsoft Word - Green Bay Notes - FINAL.doc  

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

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

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


281

An Improved Measurement of Electron Antineutrino Disappearance at Daya Bay  

E-Print Network (OSTI)

The theory of neutrino oscillations explains changes in neutrino flavor, count rates, and spectra from solar, atmospheric, accelerator, and reactor neutrinos. These oscillations are characterized by three mixing angles and two mass-squared differences. The solar mixing angle, {\\theta}_12, and the atmospheric mixing angle, {\\theta}_23, have been well measured, but until recently the neutrino mixing angle {\\theta}_13 was not well known. The Daya Bay experiment, located northeast of Hong Kong at the Guangdong Nuclear Power Complex in China, has made a precise measurement of electron antineutrino disappearance using six functionally-identical gadolinium-doped liquid scintillator-based detectors at three sites with distances between 364 and 1900 meters from six reactor cores. This proceeding describes the Daya Bay updated result, using 127 days of good run time collected between December 24, 2011 and May 11, 2012. For the far site, the ratio of the observed number of events to the expected number of events assumin...

Webber, David M

2012-01-01T23:59:59.000Z

282

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

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

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

283

Fossil-Fuel CO2 Emissions by Region  

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

Regional Fossil-Fuel CO2 Emissions by Region Map of the World Africa (1884-2008) Developing America (Central America, South America, and the Caribbean) (1884-2008) Centrally...

284

Weighting and Bayes Nets for Rollup of Surveillance Metrics  

SciTech Connect

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

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

2012-04-30T23:59:59.000Z

285

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques  

Open Energy Info (EERE)

Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Digital Geologic Field Mapping Using Arcpad, In: Digital Mapping Techniques '02- Workshop Proceedings Abstract Research into the practicality of digital mapping by Placer Dome Exploration identified hardware and software solutions to enhance the efficiency and accuracy of field work. The goal of the research was to find a lightweight hardware-software system that allows the user to build a digital map from field observations in much the same way as pen and paper methods. The focus of the research was to minimize the size and weight of computer systems. Systems identified consist of a wearable PC or handheld

286

NDB Site Map  

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

Site map NDB Home Search Structures Search DNA Search RNA Advanced Search Nucleic acid tools RNA 3D motif atlas Non-redundant lists RNA base triples atlas WebFR3D R3D Align Contact NDB Mailing Address About NDB NDB Members Goal References Publications Site map Tools Software Standards Standard Reference Supplementary Information Ideal Geometries X-PLOR Parameters Valence Geometries RNA Ontology Consortium mmCIF Resources PDBML Resources Education Introduction to Nucleic Acids: DNA Definition of terms RNA Base Pair Families RNA Base-Phosphate Families Base Stacking Interactions Non Redundant list Equivalence classes RNA 3D Motifs Relative Frequency Introduction to Nucleic Acids: RNA Nucleic Acid Highlight (PDB): DNA DNA Polymerase Nucleosome Transfer RNA RNA Polymerase Self-splicing RNA

287

Technology Transfer: Site Map  

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

Site Map Site Map About Us About Technology Transfer Contact Us Available Technologies Advanced Materials Biofuels Biotechnology and Medicine Developing World Energy Environmental Technologies Imaging and Lasers Ion Sources and Beam Technologies Nanotechnology and Microtechnology Software and Information Technology For Industry Licensing Overview Frequently Asked Questions Partnering with Berkeley Lab Licensing Interest Form Receive New Tech Alerts For Researchers What You Need to Know and Do The Tech Transfer Process Forms Record of Invention (Word doc -- please do not use earlier PDF version of the form) Software Disclosure and Abstract (PDF, use Adobe Acrobat or Adobe Reader 9 and up ONLY to complete the form) Policies Conflict of Interest Outside Empolyment Export Control FAQs for Researchers

288

Regional Residential  

Gasoline and Diesel Fuel Update (EIA)

upward pressure from crude oil markets, magnified by a regional shortfall of heating oil supplies, residential prices rose rapidly to peak February 7. The problem was...

289

Current Perspectives on the Physical and Biological Processes of Humboldt Bay  

E-Print Network (OSTI)

northern Alaska; Cosmopolitan ( Hartman 1969). Humboldt Bay,canyon depths in silty mud; Cosmopolitan (Hartman 1969). New1996). Distribution: Cosmopolitan, in intertidal sand flats

Schlosser, S. C.; Rasmussen, R.

2007-01-01T23:59:59.000Z

290

The hunt for theta13 at the Daya Bay nuclear power plant  

E-Print Network (OSTI)

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

Wei Wang; for the Daya Bay collaboration

2009-10-23T23:59:59.000Z

291

The hunt for theta13 at the Daya Bay nuclear power plant  

E-Print Network (OSTI)

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

Wang, Wei

2009-01-01T23:59:59.000Z

292

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

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

Stewardship and Cost Savings These photographs chronicle the installation of the wind turbines at John Paul Jones Hill, Guantanamo Bay. The four wind turbine towers are...

293

Isotone maps on lattices  

E-Print Network (OSTI)

Let (L_i : i\\in I) be a family of lattices in a nontrivial lattice variety V, and let \\phi_i: L_i --> M, for i\\in I, be isotone maps (not assumed to be lattice homomorphisms) to a common lattice M (not assumed to lie in V). We show that the maps \\phi_i can be extended to an isotone map \\phi: L --> M, where L is the free product of the L_i in V. This was known for V the variety of all lattices (Yu. I. Sorkin 1952). The above free product L can be viewed as the free lattice in V on the partial lattice P formed by the disjoint union of the L_i. The analog of the above result does not, however, hold for the free lattice L on an arbitrary partial lattice P. We show that the only codomain lattices M for which that more general statement holds are the complete lattices. On the other hand, we prove the analog of our main result for a class of partial lattices P that are not-quite-disjoint unions of lattices. We also obtain some results similar to our main one, but with the relationship lattices:orders replaced either...

Bergman, G M

2011-01-01T23:59:59.000Z

294

book review: Climate change mapped  

E-Print Network (OSTI)

6596 newsandupdate bookreview Climatechangemappedatlasismorethanjustabookofmaps. By thatcriterionthan just a science book. It alsocoversclimate

Shanahan, Mike

2012-01-01T23:59:59.000Z

295

Quantitative Spatiotemporal Evaluation of Dynamically Downscaled MM5 Precipitation Predictions over the Tampa Bay Region, Florida  

Science Conference Proceedings (OSTI)

This research quantitatively evaluated the ability of the fifth-generation Pennsylvania State UniversityNational Center for Atmospheric Research Mesoscale Model (MM5) to reproduce observed spatiotemporal variability of precipitation in the Tampa ...

Syewoon Hwang; Wendy Graham; Jos L. Hernndez; Chris Martinez; James W. Jones; Alison Adams

2011-12-01T23:59:59.000Z

296

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

E-Print Network (OSTI)

Ingebritsen SE. 1999. Land subsidence in the United States.WH, Delaune RD. 1990. Subsidence, accretion, and sea levelJF, Ireland R.L. 1988. Land subsidence in the Santa Clara

Knowles, Noah

2010-01-01T23:59:59.000Z

297

A Space for Living: Region and Nature in the Bay Area, 1939-1969  

E-Print Network (OSTI)

Of The African-American Architect: Conflicting Cultures OfRoyal Victorian Institute of Architects, 1947); The Age (House, William Wurster architect, 1956. Source: William W.

Allen, Peter Albert

2009-01-01T23:59:59.000Z

298

The Association of Bay Area Health Officials: Advancing Public Health through Regional Networks  

E-Print Network (OSTI)

Monterey County, which also joined the ABAHO network within a year of its formation.

Crawley, Adam Wade; Enanoria, Wayne TA

2012-01-01T23:59:59.000Z

299

Site Map - Energy Innovation Portal  

Energy Innovation Portal Technologies. ... Home. Site Map; Printable Version; Share this resource. About; Search; Categories (15) Advanced Materials; Biomass and ...

300

The metro map layout problem  

Science Conference Proceedings (OSTI)

We initiate a new problem of automatic metro map layout. In general, a metro map consists of a set of lines which have intersections or overlaps. We define a set of aesthetic criteria for good metro map layouts and present a method to produce ...

Seok-Hee Hong; Damian Merrick; Hugo A. D. do Nascimento

2004-09-01T23:59:59.000Z

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


301

Bayesian inference with optimal maps  

Science Conference Proceedings (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established ... Keywords: Bayesian inference, Inverse problems, Measure-preserving maps, Numerical optimization, Optimal transport, Polynomial chaos

Tarek A. El Moselhy; Youssef M. Marzouk

2012-10-01T23:59:59.000Z

302

User hints for map labelling  

Science Conference Proceedings (OSTI)

The Map Labelling Problem appears in several applications, mainly in Cartography. Although much research on this problem has been done, it is interesting to note that map-labelling processes in commercial fields are very often executed manually ... Keywords: combinatorial optimisation, map labelling, user hints

Hugo A. D. do Nascimento; Peter Eades

2003-02-01T23:59:59.000Z

303

Regional Purchasing  

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

Regional Purchasing Regional Purchasing Regional Purchasing Pursuant to Appendix M of Prime Contract No. DE-AC52-06NA25396 between DOE/NNSA and Los Alamos National Security, LLC (LANS), LANS is committed to building a strong supplier base with Northern New Mexico businesses and the local Native American pueblos in the purchases of goods and services. Contact Small Business Office (505) 667-4419 Email We seek out and utilize known Northern New Mexico business as suppliers The Northern New Mexico counties included are Los Alamos Santa Fe Rio Arriba Taos Mora San Miguel Sandoval The eight regional pueblos included are Nambe Ohkay Owingeh (formerly known as San Juan) Picuris Pojoaque San Ildefonso Santa Clara Taos Tesuque When the Laboratory cannot identify regional firms, it will expand its

304

Template:GeothermalRegion | Open Energy Information  

Open Energy Info (EERE)

GeothermalRegion GeothermalRegion Jump to: navigation, search This is the GeothermalRegion template. To define a new Geothermal Region, please use the Geothermal Region form. Parameters Map - The map of the region. State - The state in which the resource area is located. Area - The estimated size of the area in which the resource area is located, in km². IdentifiedHydrothermalPotential - The identified hydrothermal electricity generation potential in megawatts, from the USGS resource estimate. UndiscoveredHydrothermalPotential - The estimated undiscovered hydroelectric generation potential in megawatts from the USGS resource estimate. PlannedCapacity - The total planned capacity for the region in megawatts. Number of Plants Included in Planned Estimate - The number of plants

305

Livermore Regional Air Quality model (LIRAQ-1)  

SciTech Connect

The Livermore Regional Air Quality (LIRAQ) model is an Eulerian grid model developed for use in assessing the regional air quality of a region with temporally and spatially varying meteorology in complex terrain. The first implementation of this approach is embodied in the LIRAQ-1 model and is intended for use with either simple chemical systems or relatively inert pollutants. The basic model formulation is based on the conservation of mass equation integrated vertically from the surface to the base of an inversion layer, thereby creating a single layer model with a grid structure established in the two horizontal dimensions. Surface pollutant concentrations are related to vertical average concentrations using a logarithmic profile. Atmospheric transport, inversion height, source emissions, and topography are all prescribed. Data for the San Francisco Bay Area obtained during 1973 have been used in validation studies. (auth)

MacCracken, M.C.; Grant, K.E.

1975-10-01T23:59:59.000Z

306

Wind Resource Mapping for United States Offshore Areas: Preprint  

SciTech Connect

The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL) is producing validated wind resource maps for priority offshore regions of the United States. This report describes the methodology used to validate the maps and to build a Geographic Information Systems (GIS) database to classify the offshore wind resource by state, water depth, distance from shore, and administrative unit.

Elliott, D.; Schwartz, M.

2006-06-01T23:59:59.000Z

307

PMCDP Curriculum Map | Department of Energy  

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

Technology Centers Field Sites Power Marketing Administration Other Agencies You are here Home PMCDP Curriculum Map PMCDP Curriculum Map PMCDP Curriculum Map January 2013.pdf...

308

Map Data: Total Production | Department of Energy  

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

Total Production Map Data: Total Production totalprod2009final.csv More Documents & Publications Map Data: Renewable Production Map Data: State Consumption...

309

Map Data: Renewable Production | Department of Energy  

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

Renewable Production Map Data: Renewable Production renewprod2009.csv More Documents & Publications Map Data: Total Production Map Data: State Consumption Directory of Potential...

310

Google maps | OpenEI Community  

Open Energy Info (EERE)

Google maps Home Jweers's picture Submitted by Jweers(83) Contributor 16 May, 2013 - 15:22 Multicolor Maps from Compound Queries ask queries compound queries developer Google maps...

311

An algorithm for map enumeration  

E-Print Network (OSTI)

Bauer and Itzykson showed that associated to each labeled map embedded on an oriented Riemann surface there was a group generated by a pair of permutations. From this result an algorithm may be constructed for enumerating labeled maps, and this construction is easily augmented to bin the numbers by the genus of the surface the map is embedded in. The results agree with the calculations of Harer and Zagier of 1-vertex maps; with those of Bessis, Itzykson, and Zuber of 4-valent maps; and with those of Ercolani, McLaughlin, and Pierce for $2\

Virgil U. Pierce

2006-10-19T23:59:59.000Z

312

Pacific Northwest Regional Assessment of the Potential  

E-Print Network (OSTI)

, demand response and energy efficiency demand-side reductions. The fact that natural gas is the regionPacific Northwest Regional Assessment of the Potential Benefits of the Direct Use of Natural Gas) .........................42 Figure 1 Service Area Map of PNW Participating Natural Gas Utilities

313

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

SciTech Connect

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.

Larson, Nancy M [ORNL

2008-10-01T23:59:59.000Z

314

Regional Inventories  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: This year has not started well for gasoline inventories, with inventories being low across regions of the country. The Midwest region (PADD II) had been running lower than most regions, but began to catch up during the last week in April. Gasoline inventories ran about 9% below their 5-year average for this time of year and about 4% below where they were last year. The recent refinery problems in the Midwest, though, could erase some of that recovery. The impacts of Tosco's Wood River refinery and Marathon's St Paul refinery are not fully realized. But inventories were also precariously low along the East Coast (PADD I) and are extremely low in the Rocky Mountain region (PADD IV), although the size of this market mitigates any national impact. While the

315

Meter-baseline tests of sterile neutrinos at Daya Bay  

E-Print Network (OSTI)

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

Y. Gao; D. Marfatia

2013-02-22T23:59:59.000Z

316

Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One: Neural Model Building  

E-Print Network (OSTI)

SPE 77659 Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One Exploration (Alaska) and Carl D. Sisk SPE, BP Exploration Copyright 2002, Society of Petroleum Engineers Inc, TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract Field data from the Prudhoe Bay oil field

Mohaghegh, Shahab

317

Numerical Simulation of a Satellite-Observed Calm Zone in Montetey Bay, California  

Science Conference Proceedings (OSTI)

Satellite imagery from 18 April 1978 suggests the presence of a semicircular zone of calm or new-calm seas in Monterey Bay, California. It is hypothesized that sea breeze circulations account for the calm zone in the bay, although a lack of in ...

Rolf H. Langland; Paul M. Tag; Robert W. Fett

1987-12-01T23:59:59.000Z

318

Characteristics and Trends of River Discharge into Hudson, James, and Ungava Bays, 19642000  

Science Conference Proceedings (OSTI)

The characteristics and trends of observed river discharge into the Hudson, James, and Ungava Bays (HJUBs) for the period 19642000 are investigated. Forty-two rivers with outlets into these bays contribute on average 714 km3 yr?1 [= 0.023 Sv (1 ...

Stephen J. Dry; Marc Stieglitz; Edward C. McKenna; Eric F. Wood

2005-07-01T23:59:59.000Z

319

Bay Area Transit Agencies Propel Fuel Cell Buses Toward Commercialization (Fact Sheet)  

Science Conference Proceedings (OSTI)

This fact sheet describes the Zero Emission Bay Area (ZEBA) demonstration of the next generation of fuel cells buses. Several transit agencies in the San Francisco Bay Area are participating in demonstrating the largest single fleet of fuel cell buses in the United States.

Not Available

2010-07-01T23:59:59.000Z

320

A Pb isotope record of mid-Atlantic US atmospheric Pb emissions in Chesapeake Bay sediments  

E-Print Network (OSTI)

A Pb isotope record of mid-Atlantic US atmospheric Pb emissions in Chesapeake Bay sediments Franco Marcantonio a,*, Andrew Zimmerman b,1 , Yingfeng Xu a , Elizabeth Canuel b a Department of Geology, Institute analyzed sediments from three sites in the mesohaline portion of Chesapeake Bay (CB) for Pb isotopes

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


321

Observations of Shallow-Water Transport and Shear in Western Florida Bay  

Science Conference Proceedings (OSTI)

Acoustic Doppler profiler (ADP) data are used to describe depth-integrated transport and vertical shear at two study sites along the open western boundary of Florida Bay. During a 404-day study period, transport was into the bay at the northern ...

Ned P. Smith

2000-07-01T23:59:59.000Z

322

Comparing Bayes model averaging and stacking when model approximation error cannot be ignored  

Science Conference Proceedings (OSTI)

We compare Bayes Model Averaging, BMA, to a non-Bayes form of model averaging called stacking. In stacking, the weights are no longer posterior probabilities of models; they are obtained by a technique based on cross-validation. When the correct data ...

Bertrand Clarke

2003-12-01T23:59:59.000Z

323

Modelling the Mean Barotropic Circulation in the Bay of Fundy and Gulf of Maine  

Science Conference Proceedings (OSTI)

Two dimensional, nonlinear numerical models are used to study the residual barotropic circulation generated by tides and steady winds in the Bay of Fundy and Gulf of Maine. The first a multi-grid model, is used to examine the Bay of Fundy with a ...

David A. Greenberg

1983-05-01T23:59:59.000Z

324

Quantitive DNA Fiber Mapping  

SciTech Connect

Several hybridization-based methods used to delineate single copy or repeated DNA sequences in larger genomic intervals take advantage of the increased resolution and sensitivity of free chromatin, i.e., chromatin released from interphase cell nuclei. Quantitative DNA fiber mapping (QDFM) differs from the majority of these methods in that it applies FISH to purified, clonal DNA molecules which have been bound with at least one end to a solid substrate. The DNA molecules are then stretched by the action of a receding meniscus at the water-air interface resulting in DNA molecules stretched homogeneously to about 2.3 kb/{micro}m. When non-isotopically, multicolor-labeled probes are hybridized to these stretched DNA fibers, their respective binding sites are visualized in the fluorescence microscope, their relative distance can be measured and converted into kilobase pairs (kb). The QDFM technique has found useful applications ranging from the detection and delineation of deletions or overlap between linked clones to the construction of high-resolution physical maps to studies of stalled DNA replication and transcription.

Lu, Chun-Mei; Wang, Mei; Greulich-Bode, Karin M.; Weier, Jingly F.; Weier, Heinz-Ulli G.

2008-01-28T23:59:59.000Z

325

Widget:GasMap | Open Energy Information  

Open Energy Info (EERE)

Widget:GasMap Jump to: navigation, search Gas map widget: The Gas Map displays real-time gas prices for the United States Example Output Gas map widget: Denver Gas Prices provided...

326

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

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

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

327

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

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

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

328

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

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

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

329

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

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

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

330

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

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

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

331

EERE: Weatherization and Intergovernmental Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Weatherization and Intergovernmental Program - Site Map to someone by E-mail Share EERE: Weatherization and Intergovernmental Program - Site Map on Facebook Tweet about EERE: Weatherization and Intergovernmental Program - Site Map on Twitter Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Google Bookmark EERE: Weatherization and Intergovernmental Program - Site Map on Delicious Rank EERE: Weatherization and Intergovernmental Program - Site Map on Digg Find More places to share EERE: Weatherization and Intergovernmental Program - Site Map on AddThis.com... Site Map About Plans, Implementation, & Results Weatherization Assistance Program Weatherization Services

332

Resource intensification in pre-contact central California: a bioarchaeological perspective on diet and health patterns among hunter-gatherers from the lower Sacramento Valley and San Francisco Bay  

E-Print Network (OSTI)

In this study, I use bioarchaeological data derived from human burials to evaluate subsistence change in mid-to-late Holocene central California (circa 4950-200 B.P.). Previous investigations in the region have proposed two competing models to account for changes in subsistence patterns. The seasonal stress hypothesis argues that the increased reliance on acorns and small seeds during the late Holocene led to improved health status, since these resources could be stored and used as a ?buffer? against seasonal food shortages. In contrast, resource intensification models predict temporal declines in health during the late Holocene, as measured by a decline in dietary quality and health status, increased population crowding, and greater levels of sedentism. I test the hypothesis that health status, as measured by childhood stress and disease indicators, declined during the late Holocene in central California. I analyzed 511 human skeletons from ten archaeological sites in the Sacramento Valley and San Francisco Bay area to investigate temporal and spatial variability in diet and health. I analyzed a subset (n = 111) of this sample to evaluate prehistoric dietary patterns using carbon and nitrogen stable isotope ratios. Indicators of health status show significant temporal and regional variation. In the Valley, tibial periosteal reactions, porotic hyperostosis, and enamel hypoplasias significantly increased through time, implying a decline in health status. In the Bay, health indicators show little temporal variability. However, inter-regional comparisons indicate a higher prevalence of stress and disease indicators among Bay Area skeletons than in the Valley skeletal series. The stable isotope data from human bone collagen and apatite also indicate significant interregional differences in prehistoric diets between the Bay and the Valley. In the Bay, diets shifted from high trophic level marine foods to a more terrestrially focused diet over time. In the Valley, there are no significant dietary trends observed in the data. Dental caries and antemortem tooth loss are significantly more prevalent in the Valley than in the Bay, and closely match the isotopic findings. The paleopathological findings provide support for late Holocene resource intensification models posited for the Valley, but not for the Bay Area.

Bartelink, Eric John

333

Mercury in mussels of Bellingham Bay, Washington, (USA)  

SciTech Connect

Laboratory experiments demonstrated the existence of metallothionein-like, low molecular weight, mercury-binding proteins in the marine mussel Mytilus edulis. Relatively large quantities of mercury were associated with such proteins in gills and digestive gland, the organs of interest in the present study. /sup 14/C-incorporation indicated induction of the protein in gills, but not in digestive gland. Mercury in digestive gland may have bound to existing metal-binding proteins. Short-term incorporation of mercury occurred primarily in gills. The induction of mercury-binding proteins in gills may have facilitated detoxification of mercury at the site of uptake. Mercury in mussels of Bellingham Bay were shown to have decreased from 1970 to 1978, the collection date for the present study. Mercury levels were low but approximately three times higher than those from uncontaminated areas. Mercury associated with the mercury-binding protein of gills and digestive glands of Bellingham Bay mussels were low and reflected the concentrations measured in the whole tissues. However, the highest concentration of mercury was associated with the low molecular pool components, the identity of which is not presently known.

Roesijadi, G.; Drum, A.S.; Bridge, J.R.

1978-11-01T23:59:59.000Z

334

An Improved Measurement of Electron Antineutrino Disappearance at Daya Bay  

E-Print Network (OSTI)

The theory of neutrino oscillations explains changes in neutrino flavor, count rates, and spectra from solar, atmospheric, accelerator, and reactor neutrinos. These oscillations are characterized by three mixing angles and two mass-squared differences. The solar mixing angle, {\\theta}_12, and the atmospheric mixing angle, {\\theta}_23, have been well measured, but until recently the neutrino mixing angle {\\theta}_13 was not well known. The Daya Bay experiment, located northeast of Hong Kong at the Guangdong Nuclear Power Complex in China, has made a precise measurement of electron antineutrino disappearance using six functionally-identical gadolinium-doped liquid scintillator-based detectors at three sites with distances between 364 and 1900 meters from six reactor cores. This proceeding describes the Daya Bay updated result, using 127 days of good run time collected between December 24, 2011 and May 11, 2012. For the far site, the ratio of the observed number of events to the expected number of events assuming no neutrino oscillation is 0.944 +/- 0.007(stat) +/- 0.003(syst). A fit for {\\theta}_13 in the three-neutrino framework yields sin^2 2{\\theta}_13 = 0.089 +/- 0.010(stat) +/- 0.005(syst).

David M. Webber; for the Daya Bay Collaboration

2012-11-07T23:59:59.000Z

335

SRS - Website Map  

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

1/2011 1/2011 SEARCH GO menu spacer SRS Home Savannah River Site Website Map About SRS Mission & Vision Where We Are SRS History Fact Sheets Tour SRS Contact SRS SRS Organizations Savannah River Nuclear Solutions, LLC (SRNS) Savannah River Remediation LLC (SRR) Savannah River Ecology Laboratory (SREL) USDA Forest Service - Savannah River Wackenhut Services, Inc. Mixed Oxide Fuel Fabrication Facility (MOX) Parsons Related Links & Resources Department of Energy (DOE) Department of Energy - Environmental Management (DOE-EM) National Nuclear Security Administration (NNSA) American Recovery & Reinvestment Act (ARRA) News News Releases Video Releases Fact Sheets Photo Gallery Speakers Media Contacts Business Opportunities Community Reuse Organization Technology Transfer Savannah River National Laboratory (SRNL)

336

Report Title: Mapping  

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

Title: Title: Mapping of Reservoir Properties and Facies Through Integration of Static and Dynamic Data Report Type: Final Technical Report Reporting Period Start Date: October 1, 2000 Reporting Period End Date: September 30, 2004 Principal Authors: Albert C. Reynolds, Dean S. Oliver, Yannong Dong, Ning Liu, Guohua Gao, Fengjun Zhang & Ruijian Li Date Report Issued: December 2004 DOE Award Number: DE-FC26-00BC15309 Petroleum Engineering Department The University of Tulsa 600 South College Avenue Tulsa, Oklahoma 74104 This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product,

337

map_legend  

Gasoline and Diesel Fuel Update (EIA)

c c Natural Gas Market Hub a Surface Congressional District (113th) Underground b Coal Mines U.S. States Map Legend County Boundary Power Plants K A B C E 0 G L H I J Biomass Coal Geothermal Market Hubs Transmission and Pipelines Hydro Natural Gas Other Fossil Gases Petroleum Pumped Storage Solar Wind Wood Petroleum Import Site f Northeast Home Heating Oil Reserve Site 4 j Petroleum Refinery h DOT NPMS Gas Transmission Pipeline Due to security constraints, only a single county's pipelines can be shown at a time for this layer. The natural gas interstate, intrastate, and gathering pipelines layer (see below) can be viewed across larger geographic areas, but is not as accurate or complete. DOT NPMS Hazardous Liquid Pipeline Hazardous liquids include crude oil, product, liquid petroleum gas, natural gas liquid, hydrogen gas,

338

Cosmic string induced CMB maps  

SciTech Connect

We compute maps of CMB temperature fluctuations seeded by cosmic strings using high resolution simulations of cosmic strings in a Friedmann-Robertson-Walker universe. We create full-sky, 18 deg. and 3 deg. CMB maps, including the relevant string contribution at each resolution from before recombination to today. We extract the angular power spectrum from these maps, demonstrating the importance of recombination effects. We briefly discuss the probability density function of the pixel temperatures, their skewness, and kurtosis.

Landriau, M. [Max-Planck-Institut fuer extraterrestrische Physik, Giessenbachstrasse 1, 85748 Garching (Germany); Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA (United Kingdom); Shellard, E. P. S. [Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Centre for Mathematical Sciences, Wilberforce Road, Cambridge CB3 0WA (United Kingdom)

2011-02-15T23:59:59.000Z

339

X-ray fluorescence mapping  

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

Applications reach from the mapping of trace metals in single biololgical cells, over the measurement of impurities in solar cells, to the rare earth content of geological...

340

Gasification Systems Projects National Map  

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

Gasification Systems Gasification Systems Projects National Map Click on a number to go to the project page. Hybrid Solar Coal Gasifier ITM Oxygen Technology for Integration in...

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


341

C:\\DOCS\\MAP.QA  

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

associated with maps developed for the Department of Energy Oak Ridge Operations (DOE-ORO) Environmental Management (EM) Program. Specifically, this form verifies that...

342

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Biomass Maps  

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

Biomass Maps Biomass Maps These maps illustrate the biomass resources available in the United States by county. Biomass feedstock data are analyzed both statistically and graphically using a geographic information system (GIS). The following feedstock categories are evaluated: crop residues, forest residues, primary and secondary mill residues, urban wood waste, and methane emissions from manure management, landfills, and domestic wastewater treatment. Biomass Resources in the United States Map of Total Biomass Resources in the United States Total Resources by County Total Biomass per Square Kilometer These maps estimate the biomass resources currently available in the United States by county. They include the following feedstock categories: crop residues (5 year average: 2003-2007) forest and primary mill residues

343

Image search by concept map  

Science Conference Proceedings (OSTI)

In this paper, we present a novel image search system, image search by concept map. This system enables users to indicate not only what semantic concepts are expected to appear but also how these concepts are spatially distributed in the desired ... Keywords: concept map, image search

Hao Xu; Jingdong Wang; Xian-Sheng Hua; Shipeng Li

2010-07-01T23:59:59.000Z

344

Oceanographic Data at the Monterey Bay Aquarium Research Institute (MBARI)  

DOE Data Explorer (OSTI)

Areas of research at MBARI include marine biology, geology, and chemistry; physical oceanography, and marine technology. Numeric data, images and video, GIS maps, and sensor data are all available from various projects.

345

Design and implementation of four enhanced recovery projects in bay fields of south Louisiana  

SciTech Connect

This paper reviews the design and implementation of four enhanced recovery projects that were initiated in the shallow-water environment of two bay fields located along the coastline of South Louisiana. These four projects are a caustic augmented waterflood, a miscible carbon dioxide waterflood, both in Quarantine Bay Field, and two polymer augmented waterfloods in the West Bay Field. The paper focuses on the design modifications required for the projects due to the hostile overwater environment and the logistics problems associated with the locations of the projects.

Boardman, R.S.; Moore, L.J.; Julian, M.H.; Bilbrey, D.G.; Moore, J.S.

1982-01-01T23:59:59.000Z

346

Design and implementation of four enhanced recovery projects in bay fields of South Louisiana  

SciTech Connect

This paper reviews the design and implementation of four enhanced recovery projects that were initiated in the shallow-water environment of two bay fields located along the coastline of South Louisiana. These four projects are a caustic augmented waterflood, a miscible carbon dioxide waterflood, both in Quarantine Bay Field, and two polymer augmented waterfloods in the West Bay Field. The paper focuses on the design modifications required for the projects due to the hostile overwater environment and the logistics problems associated with the locations of the projects. 4 refs.

Boardman, R.S.; Moore, L.J.; Julian, M.H.; Bilbrey, D.G.; Moore, J.S.

1982-01-01T23:59:59.000Z

347

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

Open Energy Info (EERE)

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

348

Manual Calibration System for Daya Bay Reactor Neutrino Experiment  

E-Print Network (OSTI)

The Daya Bay Reactor Neutrino Experiment has measured the last unknown neutrino mixing angle, {\\theta}13, to be non-zero at the 7.7{\\sigma} level. This is the most precise measurement to {\\theta}13 to date. To further enhance the understanding of the response of the antineutrino detectors (ADs), a detailed calibration of an AD with the Manual Calibration System (MCS) was undertaken during the summer 2012 shutdown. The MCS is capable of placing a radioactive source with a positional accuracy of 25 mm in R direction, 20 mm in Z axis and 0.5{\\deg} in {\\Phi} direction. A detailed description of the MCS is presented followed by a summary of its performance in the AD calibration run.

Hanxiong Huang; Xichao Ruan; Jie Ren; Chengjun Fan; Yannan Chen; Yinglong Lv; Zhaohui Wang; Zuying Zhou; Long Hou; Biao Xin; Chaoju Yu; Jiawen Zhang; Yinghong Zhang; Jingzhi Bai; Honglin Zhuang; Wei He; Jianglai Liu; Elizabeth Worcester; Harry Themann; Jeff Cherwinka; David M. Webber

2013-05-10T23:59:59.000Z

349

Forecasting the Bayes factor of a future observation  

E-Print Network (OSTI)

I present a new procedure to forecast the Bayes factor of a future observation by computing the Predictive Posterior Odds Distribution (PPOD). This can assess the power of future experiments to answer model selection questions and the probability of the outcome, and can be helpful in the context of experiment design. As an illustration, I consider a central quantity for our understanding of the cosmological concordance model, namely the scalar spectral index of primordial perturbations, n_S. I show that the Planck satellite has over 90% probability of gathering strong evidence against n_S = 1, thus conclusively disproving a scale-invariant spectrum. This result is robust with respect to a wide range of choices for the prior on n_S.

Roberto Trotta

2007-03-05T23:59:59.000Z

350

Multi-AUV control and adaptive sampling in Monterey Bay  

E-Print Network (OSTI)

AbstractOperations with multiple autonomous underwater vehicles (AUVs) have a variety of underwater applications. For example, a coordinated group of vehicles with environmental sensors can perform adaptive ocean sampling at the appropriate spatial and temporal scales. We describe a methodology for cooperative control of multiple vehicles based on virtual bodies and artificial potentials (VBAP). This methodology allows for adaptable formation control and can be used for missions such as gradient climbing and feature tracking in an uncertain environment. We discuss our implementation on a fleet of autonomous underwater gliders and present results from sea trials in Monterey Bay in August, 2003. These at-sea demonstrations were performed as part of the Autonomous Ocean Sampling Network (AOSN) II project. Index TermsAdaptive sampling, autonomous underwater vehicles (AUVs), cooperative control, formations, gradient climbing, underwater gliders. I.

Edward Fiorelli; Naomi Ehrich Leonard; Senior Member; Pradeep Bhatta; Derek A. Paley; Student Member; Ralf Bachmayer; David M. Fratantoni

2004-01-01T23:59:59.000Z

351

Regional maps Figure F4. Oil and gas supply model regions Figure ...  

U.S. Energy Information Administration (EIA)

75 95 100 0 5 25 75 95 100 0 5 25 75 95 Source: U.S. Energy Information Administration, Office of Energy Analysis. 100. Created Date: 4/30/2013 2:24:47 PM ...

352

Residual bouguer gravity anomaly map of northern New Mexico  

DOE Green Energy (OSTI)

The map is computer contoured from equidistant grid and bicubic spline interpolated surface. Bouguer gravity anomaly correction applied is g/sub BC/ = (0.034) x (elevation - regional elevation), with density 2.67 g/cc. Overall dimensions are 41/sup 1///sub 2/'' x 43''; scale is 1 : 500,000. (JGB)

Aiken, C.L.V.; Laughlin, A.W.; West, F.G.

1977-03-01T23:59:59.000Z

353

Eileen west end development, Prudhoe Bay field, Alaska  

SciTech Connect

The western periphery of Prudhoe Bay field is made of small faulted structures referred to as the Eileen West End area. Development plans for Eileen West End consist of drilling approximately 90 production wells on 80-ac spacing, two nonconventional (> 85{degree}) gas injectors, and one to two conventional gas injectors from two gravel pads (W and Z pads). The confirmation sequence of 20 wells was prioritized to provide information about the structure, fluid contacts, reservoir rock quality, and shale extent in the areas of the nonconventional gas injectors and to maximize, broad initial offtake. Drilling began with two rigs in February 1988, and production started up from Eileen West End in June 1988. In October 1989, 46 wells produced 50,000 BOPD. Peak capacity of 60,000 BOPD is expected by May 1990. Gas cap gas injection was initiated in the West End along with production. Two nonconventional gas injectors currently inject 90 MMCFD. A final injection rate for the West End is targeted at 130 MMCFD. Initiating injection concurrently with production will forestall additional pressure depletion from offtake in the Main field of Prudhoe Bay. Integration of geologic reservoir description and engineering data is crucial to optimize, reservoir development. Current effort include mud logging, sidewall core sampling, formation pressure testing, and fluid contact monitoring with open-hole and cased-hole logs. These data are interpreted to identify areas of gas or water influx and gas breakthrough to define the extent of permeability barriers, to evaluate pressure support requirements, and to effectively plan the remaining conventional and nonconventional producers.

Cooke, A. (BP Exploration, Anchorage, AK (USA))

1990-05-01T23:59:59.000Z

354

The 2004 Geothermal Map Of North America Explanation Of Resources And  

Open Energy Info (EERE)

The 2004 Geothermal Map Of North America Explanation Of Resources And The 2004 Geothermal Map Of North America Explanation Of Resources And Applications Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: The 2004 Geothermal Map Of North America Explanation Of Resources And Applications Details Activities (1) Areas (1) Regions (0) Abstract: The first Geothermal Map of North America was published in 1992 by the Geological Society of America (GSA). The American Association of Petroleum Geologist (AAPG) is publishing the 2004 Geothermal Map of North America (Blackwell and Richards, 2004a). Southern Methodist University Geothermal Lab produced the map over the last three years in conjunction with numerous collaborators. New data and cartographic techniques allow for greater detail and new data layers to be added to the 2004map. Thus the

355

The Simulation and Mapping of Building Performance Indicators based on European Weather Stations  

E-Print Network (OSTI)

Due to the climate change debate, a lot of research and maps of external climate parameters are available. However, maps of indoor climate performance parameters are still lacking. This paper presents a methodology for obtaining maps of performances of similar buildings that are virtually spread over whole Europe. The produced maps are useful for analyzing regional climate influence on building performance indicators such as energy use and indoor climate. This is shown using the Bestest building as a reference benchmark. An important application of the mapping tool is the visualization of potential building measures over the EU. Also the performances of single building components can be simulated and mapped. It is concluded that the presented method is efficient as it takes less than 15 minutes to simulate and produce the maps on a 2.6GHz/4GB computer. Moreover, the approach is applicable for any type of building.

van Schijndel, A W M

2012-01-01T23:59:59.000Z

356

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Wind Maps  

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

shore annual wind resource potential in the United States map. Thumbnail image of the 90m offshore wind resource potential in the United States. Thumbnail image of the national 50m...

357

Unexpected increasing AOT trends over northwest Bay of Bengal in the early postmonsoon season  

Science Conference Proceedings (OSTI)

The main point of our study is that aerosol trends can be created by changes in meteorology without changes in aerosol source strength. Over the 10 year period 20002009, in October, Moderate Resolution Imaging Spectroradiometer (MODIS) showed strong increasing aerosol optical thickness (AOT) trends of approximately 14% yr-1 over northwest Bay of Bengal (BoB) in the absence of AOT trends over the east of the Indian subcontinent. This was unexpected because sources of anthropogenic pollution were located over the Indian subcontinent and aerosol transport from the Indian subcontinent to northwest BoB was carried out by prevailing winds. In October, winds over the east of the Indian subcontinent were stronger than winds over northwest BoB, which resulted in wind convergence and accumulation of aerosol particles over northwest BoB. Moreover, there was an increasing trend in wind convergence over northwest BoB. This led to increasing trends in the accumulation of aerosol particles over northwest BoB and, consequently, to strong AOT trends over this area. In contrast to October, November showed no increasing AOT trends over northwest BoB or the nearby Indian subcontinent. The lack of AOT trends over northwest BoB corresponds to a lack of trends in wind convergence in that region. Finally, December domestic heating by the growing population resulted in positive AOT trends of similar magnitude over land and sea. Our findings illustrate that in order to explain and predict trends in regional aerosol loading, meteorological trends should be taken into consideration together with changes in aerosol source strength.

Kishcha, P.; Starobinets, B.; Long, Charles N.; Alpert, P.

2012-12-13T23:59:59.000Z

358

Present Wave Climate in the Bay of Biscay: Spatiotemporal Variability and Trends from 1958 to 2001  

Science Conference Proceedings (OSTI)

Climate change impacts on wave conditions can increase the risk of offshore and coastal hazards. The present paper investigates wave climate multidecadal trends and interannual variability in the Bay of Biscay during the past decades (19582001). ...

Elodie Charles; Dborah Idier; Jrme Thibot; Gonri Le Cozannet; Rodrigo Pedreros; Fabrice Ardhuin; Serge Planton

2012-03-01T23:59:59.000Z

359

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

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

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.

360

Structure, Propagation, and Mixing of Energetic Baroclinic Tides in Mamala Bay, Oahu, Hawaii  

Science Conference Proceedings (OSTI)

Large semidiurnal vertical displacements (?100 m) and strong baroclinic currents (?0.5 m s?1; several times as large as barotropic currents) dominate motions in Mamala Bay, outside the mouth of Pearl Harbor, Hawaii. During September 2002, the ...

Matthew H. Alford; Michael C. Gregg; Mark A. Merrifield

2006-06-01T23:59:59.000Z

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


361

Functional Empirical Bayes Methods for Identifying Genes with Different Time-course Expression Profiles  

E-Print Network (OSTI)

a mixed-e?ects model with B-splines. Bioinformatics, 19:474-Bayes, Gibbs-sampler, B-spline, False discovery rate, geneand propose to use cubic B-splines (De Boor, 1978) to

Hong, Fangxin; Li, Hongzhe

2004-01-01T23:59:59.000Z

362

Aspects of the ecology and behaviour of bottlenose dolphins (Tursiops truncatus) in Santa Monica Bay, California  

E-Print Network (OSTI)

D.L. 1999. Inshore and offshore bottlenose dolphin (Tursiopsin deeper waters further offshore (>0.5km). No correlationsschools observed inshore and offshore in the bay, with the

Bearzi, Maddalena

2004-01-01T23:59:59.000Z

363

Mesoscale Organization and Cloud Microphysics in a Bay of Bengal Depression  

Science Conference Proceedings (OSTI)

Airborne radar and cloud microphysical data were obtained throughout a monsoon depression observed over the Bay of Bengal on 38 July 1979 during the Summer Monsoon Experiment of the Global Atmospheric Research Programme. The precipitation in the ...

Robert A. Houze Jr.; Dean D. Churchill

1987-07-01T23:59:59.000Z

364

Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay  

E-Print Network (OSTI)

Time-averaged fluxes of lead and fallout radionuclides to sediments in Florida Bay J. A. Robbins,1 between the maximum atmospheric radionuclide fallout and peaks in sediment temporal records of 137 Cs

365

Minimum bayes risk decoding with enlarged hypothesis space in system combination  

Science Conference Proceedings (OSTI)

This paper describes a new system combination strategy in Statistical Machine Translation. Tromble et al. (2008) introduced the evidence space into Minimum Bayes Risk decoding in order to quantify the relative performance within lattice or n-best output ...

Tsuyoshi Okita; Josef van Genabith

2012-03-01T23:59:59.000Z

366

A study of on-line quasi-Bayes adaptation for CDHMM-based speech recognition  

Science Conference Proceedings (OSTI)

We present a framework of quasi-Bayes (QB) learning of the parameters of the continuous density hidden Markov model (CDHMM) with Gaussian mixture state observation densities. Based on the theory of recursive Bayesian inference, the QB algorithm is designed ...

Qiang Huo; Chin-Hui Lee

1996-05-01T23:59:59.000Z

367

Dynamics of Willapa Bay, Washington: A Highly Unsteady, Partially Mixed Estuary  

Science Conference Proceedings (OSTI)

Results from 3 yr of hydrographic time series are shown for Willapa Bay, Washington, a macrotidal, partially mixed estuary whose river and ocean end members are both highly variable. Fluctuating ocean conditions alternations between wind-driven ...

N. S. Banas; B. M. Hickey; P. MacCready; J. A. Newton

2004-11-01T23:59:59.000Z

368

Multiyear Observations of Cloud Lines Associated with the Chesapeake and Delaware Bays  

Science Conference Proceedings (OSTI)

Satellite and corresponding near-surface in situ observations have been made of single- and dual-band cloud events [dubbed anomalous cloud lines (ACLs)] associated with the Chesapeake and Delaware Bays. A previous study developed the basis for ...

Todd D. Sikora; David M. Halverson

2002-08-01T23:59:59.000Z

369

Energetics of Barotropic and Baroclinic Tides in the Monterey Bay Area  

Science Conference Proceedings (OSTI)

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

Dujuan Kang; Oliver Fringer

2012-02-01T23:59:59.000Z

370

Multiscale Processes and Nonlinear Dynamics of the Circulation and Upwelling Events off Monterey Bay  

Science Conference Proceedings (OSTI)

The nonlinear multiscale dynamics of the Monterey Bay circulation during the Second Autonomous Ocean Sampling Network (AOSN-II) Experiment (August 2003) is investigated in an attempt to understand the complex processes underlying the highly ...

X. San Liang; Allan R. Robinson

2009-02-01T23:59:59.000Z

371

Scale-dependent dispersion within the stratified interior on the shelf of northern Monterey Bay  

Science Conference Proceedings (OSTI)

Autonomous underwater vehicle measurements are used to quantify lateral dispersion of a continuously released Rhodamine WT dye plume within the stratified interior of shelf waters in northern Monterey Bay, CA. The along-shelf evolution of the ...

Ryan J. Moniz; Derek A. Fong; C. Brock Woodson; Susan K. Willis; Mark T. Stacey; Stephen G. Monismith

372

Summer Cumulus Cloud Seeding Experiments near Yellowknife and Thunder Bay, Canada  

Science Conference Proceedings (OSTI)

A summer (June and July) cumulus cloud seeding experiment was conducted in Canada near Yellowknife in 1975 and 1976, and Thunder Bay in 1977 and 1978. Microphysical and dynamical measurements were made with three instrumented aircraft, flying in ...

G. A. Isaac; J. W. Strapp; R. S. Schemenauer; J. I. Macpherson

1982-09-01T23:59:59.000Z

373

Dynamics and Ecosystem threats of Bidirectional Cordgrass Hybridization in San Francisco Bay  

E-Print Network (OSTI)

CALEPPC), October 2002, Sacramento, CA Sloop CM, Ayres DR,Delta Science Meeting, Sacramento, CA. Hall RJ , HastingsBay Delta Science Meeting, Sacramento, CA Sloop C, Ayres DR,

Strong, Donald R.; Ayres, D R

2005-01-01T23:59:59.000Z

374

Cultural Dasymetric Population Mapping with Historical GIS: A Case Study from the Southern Appalachians  

Science Conference Proceedings (OSTI)

There has been a recent flurry of interest in dasymetric population mapping. However, the ancillary coverages that underlie current dasymetric methods are unconnected to cultural context. The resulting regions may indicate density patterns, but not necessarily ... Keywords: Agricultural Geography, Appalachia, Dasymetric, Historical GIS, Population Mapping, Rural Geography, West Virginia

George Towers

2011-10-01T23:59:59.000Z

375

Mapping Surface Parameters for Mesoscale Modeling in Forested and Deforested Southwestern Amazonia  

Science Conference Proceedings (OSTI)

Surface parameter digital maps of vegetation, soil, and relief are obtained over Rondnia, Brazil, covering the 5 5 region 813S, 6560W. Numerical maps of the natural landscape structure have been achieved by digitizing existing 1:1 000 ...

Jean-Christophe Calvet; Regina Santos-Alval; Genevive Jaubert; Christine Delire; Carlos Nobre; Ivan Wright; Jol Noilhan

1997-03-01T23:59:59.000Z

376

Validation of Updated State Wind Resource Maps for the United States: Preprint  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has coordinated the validation of updated state wind resource maps for multiple regions of the United States. The purpose of the validation effort is to produce the best map possible within fairly stringent time constraints.

Schwartz, M.; Elliott, D.

2004-07-01T23:59:59.000Z

377

CAPITAL REGION  

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

t 09/20/07 15:28 FAX 301 903 4656 t 09/20/07 15:28 FAX 301 903 4656 CAPITAL REGION 0 j002 SDOE F 1325.8 (8-89) EFG (0790) Energy United States Government Department of Energy Memorandum DATE. September 18, 2007 Audit Report No.: OAS-L-07-23 REPLY TO: IG-34 (A07TG036) SUBJECT: Evaluation of "The Federal Energy Regulatory Commission's Cyber Security Program-2007" TO: Chairman, Federal Energy Regulatory Commission The purpose of this report is to inform you of the results o Four evaluation of the Federal Energy Regulatory Commission's (Commission) cyber security program. The evaluation was initiated in May 2007, and our fieldwork was conducted through September 2007. Our methodology is described in the attachment to this report. . INTRODUCTION AND OBJECTIVE The Commission reports that it is constantly improving thl stability, reliability, and

378

Evaluation of 1991-1992 Brood Overwinter-Reared Coho Released from Net Pens in Youngs Bay, Oregon : Final Completion Report Youngs Bay Terminal Fishery Project.  

DOE Green Energy (OSTI)

Funding from Bonneville Power Administration was provided to the Oregon Department of Fish and Wildlife and the Clatsop County Economic Development Council`s Fisheries Project to identify and develop terminal fishing opportunities. The 1991 and 1992 brood fingerling coho from Oregon Department of Fish and Wildlife hatcheries were successfully reared during the winter period to smolt stage in Youngs Bay utilizing floating net pens. Based on coded-wire-tag recoveries during 1991--93 from 2-week net-pen acclimation releases, total accountability of coho adults averaged 40,540 fish, with the Youngs Bay commercial harvest accounting for 39%. With reduced ocean harvest impacts during 1994 and 1995, 92% of 51,640 coho in 1994 and 68% of 23,599 coho in 1995 (based on coded-wire-tag recoveries) were accounted for in the Youngs Bay commercial fishery for combined 2-week and overwinter acclimation net-pen releases. Overwinter net-pen acclimation coho accounted for 35,063 and 15,775 coho adults in 1994 and 1995 with 93% and 68% accountable in the Youngs Bay commercial harvest. Based on coded-wire-tag recoveries, less than 1% of the adults resulting from releases at Youngs Bay net pens strayed to hatcheries, while none were recovered on spawning ground surveys during 1991--95. The highest survival rates were observed for 1991 and 1992 brood overwinter coho released in early May. Time of release, not rearing strategy, appears to be the determining factor affecting survival in Youngs Bay.

Hirose, Paul S.

1997-01-01T23:59:59.000Z

379

A geographic information system (GIS) based determination of estuarine and marine wetland and shoreline changes in the Galveston Bay estuary from 1995 to 2002  

E-Print Network (OSTI)

The purpose of this study was to identify and quantify estuarine and marine wetland and shore changes circa Galveston Bay Estuary (GBE) from 1995 to 2002 by using aerial photography and GIS mapping techniques. Aerial photographs in digital format were acquired from Texas Natural Resource Information System (TNRIS) and the Houston Galveston Area Council (HGAC); these photographs were selected because the images were taken at the time period desired, existed in digital formats at resolutions of 1 m or greater, and were in coordinate systems that were already in or could be properly aligned and georeferenced. Maps for each of thirty quadrangles that include estuarine and/or marine habitats around the GBE were created, depicting wetlands and shorelines for the years 1995 and 2002 as well as changes between the two time periods. Polygons representing different habitats in 1995 were drawn while working at a scale of 1:4,000 or greater. Maps of habitats in 2002 and maps showing changes from 1995 to 2002 were produced by modifying individual 1995 polygons to document boundary shifts or habitat changes from 1995 to 2002. All resulting maps were constructed at 1:24,000 scale in UTM NAD 83 coordinate system to match USGS quad maps. Areas of each habitat in 1995 and 2002 and changes between the two years were calculated in acres and comparisons were made. There were four objectives developed to be examined by the creation of the new set of maps for GBE. They were to determine habitat changes during the time period in question, effectiveness of mapping technique, where differences in change occurred, and what type (i.e. erosion, development, accretion, etc.) of change occurred. My analyses of these maps indicated that there were 117,670 acres of estuarine wetlands and 21,983 acres of unconsolidated estuarine and marine shores present in 1995. In 2002, these values changed to 116,534 acres of estuarine wetlands and 21,630 acres of estuarine and marine shores. The rate of wetland loss was estimated as 162 acres per year or 0.1% of all wetlands annually from 1995 to 2002. This rate has slowed from the previous rate of 405 acres per year or 0.4% in 1979 and remained the same as the 161 acres per year or 0.1% reported in 1993 for the GBE. Further, the results of my analyses indicated that losses from direct human influences (e.g. development, dredging, and filling) were less than losses associated with natural processes like erosion and subsidence.

Taylor, Christina Claudette

2008-05-01T23:59:59.000Z

380

Integrated use of remote sensing and geographic information systems in riparian vegetation delineation and mapping  

Science Conference Proceedings (OSTI)

This paper presents a pilot study on riparian vegetation delineation and mapping using remote sensing and geographic information systems (GIS) in the Hunter Region, Australia. The aim of the study was to develop appropriate and repeatable assessment ...

X. Yang

2007-01-01T23:59:59.000Z

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


381

Multimodal feedforward self-organizing maps  

Science Conference Proceedings (OSTI)

We introduce a novel system of interconnected Self- Organizing Maps that can be used to build feedforward and recurrent networks of maps. Prime application of interconnected maps is in modelling systems that operate with multimodal data as for example ...

Andrew P. Papli?ski; Lennart Gustafsson

2005-12-01T23:59:59.000Z

382

UCL Science Library Map Engineering  

E-Print Network (OSTI)

UCL Science Library Map Floor 4 Engineering Engineering Periodicals Guter Collection Sta Training Room Floor 3 Chemistry Computer Science Geology Geosciences Periodicals History of Science Maths Maths Periodicals Physical Sciences Periodicals Physics Computer Cluster Group Study Area Information Library

Crawford, Ian

383

Large Consistent Geometric Landmark Maps  

Science Conference Proceedings (OSTI)

The autonomous operation of an intelligent service robot in practical applications requires that the robot builds up a map of the environment by itself, even for large environments like supermarkets. This paper presents a solution to the problem of building ...

Wolfgang D. Rencken; Wendelin Feiten; Martin Soika

2000-10-01T23:59:59.000Z

384

Map | OpenEI Community  

Open Energy Info (EERE)

Enabling Unique Visualization and Manipulation of Energy Data at Multiple Scales FRED Free Energy Data Map OpenEI Tool Visualization The U.S. Department of Energy, the Pacific...

385

Beamlines Map | Advanced Photon Source  

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

Map For a table view of basic technical capabilities of a particular beamline go to the APS Beamline Directory. Note that only BMs and IDs available for the general user program...

386

Bayesian Inference with Optimal Maps  

E-Print Network (OSTI)

We present a new approach to Bayesian inference that entirely avoids Markov chain simulation, by constructing a map that pushes forward the prior measure to the posterior measure. Existence and uniqueness of a suitable measure-preserving map is established by formulating the problem in the context of optimal transport theory. We discuss various means of explicitly parameterizing the map and computing it efficiently through solution of an optimization problem, exploiting gradient information from the forward model when possible. The resulting algorithm overcomes many of the computational bottlenecks associated with Markov chain Monte Carlo. Advantages of a map-based representation of the posterior include analytical expressions for posterior moments and the ability to generate arbitrary numbers of independent posterior samples without additional likelihood evaluations or forward solves. The optimization approach also provides clear convergence criteria for posterior approximation and facilitates model selectio...

Moselhy, Tarek A El

2011-01-01T23:59:59.000Z

387

A map of the universe  

SciTech Connect

We have produced a new conformal map of the universe illustrating recent discoveries, ranging from Kuiper belt objects in the Solar system, to the galaxies and quasars from the Sloan Digital Sky Survey. This map projection, based on the logarithm map of the complex plane, preserves shapes locally, and yet is able to display the entire range of astronomical scales from the Earth s neighborhood to the cosmic microwave background. The conformal nature of the projection, preserving shapes locally, may be of particular use for analyzing large scale structure. Prominent in the map is a Sloan Great Wall of galaxies 1.37 billion light years long, 80 percent longer than the Great Wall discovered by Geller and Huchra and therefore the largest observed structure in the universe.

Gott III, J. Richard; Juric, Mario; Schlegel, David; Hoyle, Fiona; Vogeley, Michael; Tegmark, Max; Bahcall, Neta; Brinkmann, Jon

2003-10-20T23:59:59.000Z

388

Sierra Nevada Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Region Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Sierra Nevada Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: {{{Name}}} California's Sierra Nevada is a west-tilting 350-mile (560-km)-long block of granite. Extending from 14,494 feet (Mt. Whitney, the highest peak in the lower 48 states) in the east to near sea level in the west, it contains the spectacular Yosemite and Sequoia National Parks (not indicated on the map). The massive granite intruded the crust in Mesozoic time and was uplifted and faulted in the Tertiary during formation of the basin and range to the east. USGS[1] References ↑ "USGS" Geothermal Region Data State(s) California Area 56,363 km²56,363,000,000 m² 21,756.118 mi² 606,685,695,700 ft²

389

Regional interpretation of Kansas aeromagnetic data  

DOE Green Energy (OSTI)

The aeromagnetic mapping techniques used in a regional aeromagnetic survey of the state are documented and a qualitative regional interpretation of the magnetic basement is presented. Geothermal gradients measured and data from oil well records indicate that geothermal resources in Kansas are of a low-grade nature. However, considerable variation in the gradient is noted statewide within the upper 500 meters of the sedimentary section; this suggests the feasibility of using groundwater for space heating by means of heat pumps.

Yarger, H.L.

1982-01-01T23:59:59.000Z

390

Security Orchestration with IF-MAP  

Science Conference Proceedings (OSTI)

... IPAM SIM / SEM Asset Management System AAA ICS/SCADA Security Physical Security Endpoint Security (via NAC) IF-MAP Protocol MAP Page 7. ...

2012-10-26T23:59:59.000Z

391

Hawaii geologic map data | Open Energy Information  

Open Energy Info (EERE)

Not Provided DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for Hawaii geologic map data Citation Hawaii geologic map data Internet. 2013....

392

MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUS  

E-Print Network (OSTI)

LBNL-XXXXX MAPPING HVAC SYSTEMS FOR SIMULATION IN ENERGYPLUSof California. MAPPING HVAC SYSTEMS FOR SIMULATION INpresent a conventional view of HVAC systems to the user, and

Basarkar, Mangesh

2013-01-01T23:59:59.000Z

393

SunShot Initiative: Solar Career Map  

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

Solar Career Map This solar career map explores an expanding universe of solar-energy occupations, describing diverse jobs across the industry, charting possible...

394

Definition: Fault Mapping | Open Energy Information  

Open Energy Info (EERE)

Mapping Jump to: navigation, search Dictionary.png Fault Mapping Faults are structural features of crustal rocks that are caused by tectonic forces. These features can create...

395

User:GregZiebold/Program Maps | Open Energy Information  

Open Energy Info (EERE)

Maps Maps < User:GregZiebold Jump to: navigation, search Place Coordinates A Low Carbon Economic Strategy for Scotland United Kingdom A Strategy to Engage the Private Sector in Climate Change Adaptation in Bangladesh Bangladesh A Synthesis of Agricultural Policies in Bangladesh Bangladesh ANL Wind Power Forecasting and Electricity Markets ASEAN-GIZ Regional Environmentally Sustainable Cities Programme - RESCP Brunei Cambodia Indonesia Laos Malaysia Myanmar Philippines Singapore Thailand Vietnam ASEAN-IEA Activities Indonesia Malaysia Singapore Thailand Philippines Vietnam Brunei Myanmar Cambodia Laos Action Plan for Forest Law Enforcement Governance and Trade (FLEGT) Belgium Bulgaria Czech Republic Denmark Germany Estonia Ireland Greece Spain France Italy Cyprus Latvia Lithuania

396

Microsoft Word - PMCDP Curriculum Map Jan 2010 | Department of...  

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

PMCDP Curriculum Map Jan 2010 Microsoft Word - PMCDP Curriculum Map Jan 2010 Microsoft Word - PMCDP Curriculum Map Jan 2010 More Documents & Publications PMCDP Curriculum Map...

397

Alternative Fuels Data Center: Maps and Data  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Maps & Data Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels Data Center: Maps and Data on AddThis.com... Maps and Data Find maps and charts showing transportation data and trends related to alternative fuels and vehicles. Browse by Category All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns

398

EERE: Federal Energy Management Program - Site Map  

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

Site Map Site Map Site Map Printable Version Share this resource Send a link to EERE: Federal Energy Management Program - Site Map to someone by E-mail Share EERE: Federal Energy Management Program - Site Map on Facebook Tweet about EERE: Federal Energy Management Program - Site Map on Twitter Bookmark EERE: Federal Energy Management Program - Site Map on Google Bookmark EERE: Federal Energy Management Program - Site Map on Delicious Rank EERE: Federal Energy Management Program - Site Map on Digg Find More places to share EERE: Federal Energy Management Program - Site Map on AddThis.com... Site Map About the Program Program Plans, Implementation, and Results Interagency Coordination Interagency Energy Management Task Force Contacts Program Areas Sustainable Buildings & Campuses

399

NREL-MapSearch | Open Energy Information  

Open Energy Info (EERE)

NREL-MapSearch NREL-MapSearch Jump to: navigation, search Tool Summary LAUNCH TOOL Name: NREL-MapSearch Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy, Land Focus Area: Renewable Energy, Biomass, Energy Efficiency, Geothermal, Hydrogen, Solar, Wind Phase: Determine Baseline Topics: Resource assessment Resource Type: Maps, Software/modeling tools User Interface: Website Website: maps.nrel.gov/node/18 Web Application Link: www.nrel.gov/gis/mapsearch/index.html Cost: Free Language: English NREL-MapSearch Screenshot References: NREL MapSearch[1] NREL MapSearch allows you to easily and quickly find Geographic Information System (GIS) maps produced by NREL. About Use our MapSearch to easily search our collection of over a thousand maps created by the Geographic Information Systems (GIS) team. A faceted search

400

Alternative Fuels Data Center: Maps and Data  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Maps & Data Maps & Data Printable Version Share this resource Send a link to Alternative Fuels Data Center: Maps and Data to someone by E-mail Share Alternative Fuels Data Center: Maps and Data on Facebook Tweet about Alternative Fuels Data Center: Maps and Data on Twitter Bookmark Alternative Fuels Data Center: Maps and Data on Google Bookmark Alternative Fuels Data Center: Maps and Data on Delicious Rank Alternative Fuels Data Center: Maps and Data on Digg Find More places to share Alternative Fuels Data Center: Maps and Data on AddThis.com... Maps and Data Find maps and charts showing transportation data and trends related to alternative fuels and vehicles. Vehicles All Categories Vehicles AFVs and HEVs Fuel Consumption and Efficiency Vehicle Market Driving Patterns Fuels & Infrastructure

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


401

HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT  

Science Conference Proceedings (OSTI)

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

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

2012-12-30T23:59:59.000Z

402

Seismic Mapping Of The Subsurface Structure At The Ryepatch Geothermal  

Open Energy Info (EERE)

source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » Seismic Mapping Of The Subsurface Structure At The Ryepatch Geothermal Reservoir Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Seismic Mapping Of The Subsurface Structure At The Ryepatch Geothermal Reservoir Details Activities (1) Areas (1) Regions (0) Abstract: In 1998 a 3-D surface seismic survey was conducted to explore the structure of the Rye Patch geothermal reservoir (Nevada) to determine if modern seismic techniques could be successfully applied in geothermal environments. Furthermore, it was intended to map the structural features which may control geothermal production in the reservoir. The results

403

Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid  

Open Energy Info (EERE)

Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid Lake Paiute Reservation, Nevada Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Hyperspectral Mineral Mapping For Geothermal Exploration On The Pyramid Lake Paiute Reservation, Nevada Details Activities (2) Areas (1) Regions (0) Abstract: Over 2000 km2 (772 mi2) of 5 m resolution Hymap hyperspectral data was acquired over the Pyramid Lake Paiute Reservation in the Fall of 2004. Subsequent image processing and data analysis has identified reflectance spectra for alunite, kaolinite/halloysite, illite, gypsum, vegetation, and carbonate. A portable spectrometer is being used for in situ validation, along with laboratory measurements and X-ray diffraction analyses of samples collected in the field. We are in the process of

404

An Integrated Mapping And Remote Sensing Investigation Of The Structural  

Open Energy Info (EERE)

Mapping And Remote Sensing Investigation Of The Structural Mapping And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: An Integrated Mapping And Remote Sensing Investigation Of The Structural Control For Fumarole Location In The Eburru Volcanic Complex, Kenya Rift Details Activities (0) Areas (0) Regions (0) Abstract: The Eburru volcanic complex is located in the central portion of the Kenya Rift. It belongs to the complex of volcanoes - Suswa, Longonot, Olkaria, Eburru, and Menengai - that. form the Kenya Dome. These volcanoes are geothermal fields, and Olkaria is the site for the first geothermal power plant commissioned in 1981 in the East African Rift System (EARS).

405

High-Resolution Aeromagnetic Mapping Of Volcanic Terrain, Yellowstone  

Open Energy Info (EERE)

High-Resolution Aeromagnetic Mapping Of Volcanic Terrain, Yellowstone High-Resolution Aeromagnetic Mapping Of Volcanic Terrain, Yellowstone National Park Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: High-Resolution Aeromagnetic Mapping Of Volcanic Terrain, Yellowstone National Park Details Activities (1) Areas (1) Regions (0) Abstract: High-resolution aeromagnetic data acquired over Yellowstone National Park (YNP) show contrasting patterns reflecting differences in rock composition, types and degree of alteration, and crustal structures that mirror the variable geology of the Yellowstone Plateau. The older, Eocene, Absaroka Volcanic Supergroup, a series of mostly altered, andesitic volcanic and volcaniclastic rocks partially exposed in mountains on the eastern margin of YNP, produces high-amplitude, positive magnetic

406

Mapping Geothermal Potential In The Western United States | Open Energy  

Open Energy Info (EERE)

Geothermal Potential In The Western United States Geothermal Potential In The Western United States Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Mapping Geothermal Potential In The Western United States Details Activities (3) Areas (1) Regions (0) Abstract: The U. S. Geological Survey (USGS) is conducting an updated assessment of geothermal resources in the United States. An important component of the assessment is the estimate of the spatial distribution and quantity of undiscovered geothermal resources. Weights of evidence and logistic regression models have been applied through a Geographic Information System (GIS) framework to produce maps of geothermal favorability. These maps provide the basis for characterizing the undiscovered geothermal resource base and could guide future exploration

407

Field Mapping At Raft River Geothermal Area (1993) | Open Energy  

Open Energy Info (EERE)

Exploration Activity: Field Mapping At Raft River Geothermal Area (1993) Exploration Activity: Field Mapping At Raft River Geothermal Area (1993) Exploration Activity Details Location Raft River Geothermal Area Exploration Technique Field Mapping Activity Date 1993 Usefulness not indicated DOE-funding Unknown Exploration Basis To determine the importance of Early to Middle Miocene period in the northern Basin and Range region. Notes New apatite fission track cooling age and track length data, supplemented by other information, point to the Early to Middle Miocene as an additional time of very significant extension-induced uplift and range formation. Many ranges in a 700-km-long north-south corridor from the Utah-Nevada-Idaho border to southernmost Nevada experience extension and major exhumation in Early to Middle Miocene time. Reconnaissance apatite ages from the Toiyabe

408

IMPROVED METHODS FOR MAPPING PERMEABILITY AND HEAT SOURCES IN GEOTHERMAL  

Open Energy Info (EERE)

IMPROVED METHODS FOR MAPPING PERMEABILITY AND HEAT SOURCES IN GEOTHERMAL IMPROVED METHODS FOR MAPPING PERMEABILITY AND HEAT SOURCES IN GEOTHERMAL AREAS USING MICROEARTHQUAKE DATA Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Proceedings: IMPROVED METHODS FOR MAPPING PERMEABILITY AND HEAT SOURCES IN GEOTHERMAL AREAS USING MICROEARTHQUAKE DATA Details Activities (1) Areas (1) Regions (0) Abstract: Geothermal microearthquakes, and the seismic waves they generate, provide a rich source of information about physical processes associated with Enhanced Geothermal Systems (EGS) experiments and other geothermal operations. With support from the Dept. of Energy, we are developing several software packages to enhance the utility of microearthquake data in geothermal operations and EGS experiments. Two of these are: 1. Enhanced

409

A New Geothermal Resource Map Of Nicaragua | Open Energy Information  

Open Energy Info (EERE)

Map Of Nicaragua Map Of Nicaragua Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: A New Geothermal Resource Map Of Nicaragua Details Activities (0) Areas (0) Regions (0) Abstract: A recently completed Geothermal Master Plan Study of Nicaragua assesses the geothermal resource potential of the identified fields and prospects in the country. During the course of the 18-month study, existing data were compiled and evaluated and new exploration work was conducted to determine, for each of ten geothermal resource areas studied: 1) the current level of knowledge about the resource; 2) its exploration or development status; 3) a conceptual model of the geothermal system or systems (incorporating geology, volcanology, geophysics, hydrology, fluid chemistry and geothermometry); 4) estimated recoverable energy reserves; 5)

410

Hyperspectral Mineral Mapping In Support Of Geothermal Exploration-  

Open Energy Info (EERE)

Mineral Mapping In Support Of Geothermal Exploration- Mineral Mapping In Support Of Geothermal Exploration- Examples From Long Valley Caldera, Ca And Dixie Valley, Nv, Usa Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Book: Hyperspectral Mineral Mapping In Support Of Geothermal Exploration- Examples From Long Valley Caldera, Ca And Dixie Valley, Nv, Usa Details Activities (2) Areas (2) Regions (0) Abstract: Growing interest and exploration dollars within the geothermal sector have paved the way for increasingly sophisticated suites of geophysical and geochemical tools and methodologies. The efforts to characterize and assess known geothermal fields and find new, previously unknown resources has been aided by the advent of higher spatial resolution airborne geophysics (e.g. aeromagnetics), development of new seismic

411

Performance-driven mapping for CPLD architectures  

Science Conference Proceedings (OSTI)

In this paper we present a performance-driven mapping algorithm, PLAmap, for CPLD architectures which consist of a large number of PLA-style logic cells. The primary goal of our mapping algorithm is to minimize the depth of the mapped circuit. Meanwhile, ... Keywords: CPLD, FPGA, PLA-style logic cells, delay optimization, technology mapping

Deming Chen; Jason Cong; Milos D. Ercegovac; Zhijun Huang

2001-02-01T23:59:59.000Z

412

Local control of area-preserving maps  

E-Print Network (OSTI)

We present a method of control of chaos in area-preserving maps. This method gives an explicit expression of a control term which is added to a given area-preserving map. The resulting controlled map which is a small and suitable modification of the original map, is again area-preserving and has an invariant curve whose equation is explicitly known.

Cristel Chandre; Michel Vittot; Guido Ciraolo

2008-09-01T23:59:59.000Z

413

Iterated maps for clarinet-like systems  

E-Print Network (OSTI)

The dynamical equations of clarinet-like systems are known to be reducible to a non-linear iterated map within reasonable approximations. This leads to time oscillations that are represented by square signals, analogous to the Raman regime for string instruments. In this article, we study in more detail the properties of the corresponding non-linear iterations, with emphasis on the geometrical constructions that can be used to classify the various solutions (for instance with or without reed beating) as well as on the periodicity windows that occur within the chaotic region. In particular, we find a regime where period tripling occurs and examine the conditions for intermittency. We also show that, while the direct observation of the iteration function does not reveal much on the oscillation regime of the instrument, the graph of the high order iterates directly gives visible information on the oscillation regime (characterization of the number of period doubligs, chaotic behaviour, etc.).

Pierre-Andr Taillard; Jean Kergomard; Franck Lalo

2009-12-12T23:59:59.000Z

414

BrainMap `95 workshop  

SciTech Connect

The fourth annual BrainMap workshop was held at La Mansion del Rio Hotel in San Antonio December 3--4, 1995. The conference title was ``Human Brain Mapping and Modeling.`` The meeting was attended by 137 registered participants and 30 observers from 82 institutions representing 12 countries. The meeting focused on the technical issues associated with brain mapping and modeling. A total of 23 papers were presented covering the following topics: spatial normalization and registration; functional image analysis; metanalysis and modeling; and new horizons in biological databases. The full program with abstracts was available on the Research Imaging Center`s web site. A book will be published by John Wiley and Sons prior to the end of 1998.

1995-12-31T23:59:59.000Z

415

Combined SWIR and LWIR Mineral Mapping Using MASTER/ASTER | Open Energy  

Open Energy Info (EERE)

SWIR and LWIR Mineral Mapping Using MASTER/ASTER SWIR and LWIR Mineral Mapping Using MASTER/ASTER Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Combined SWIR and LWIR Mineral Mapping Using MASTER/ASTER Details Activities (1) Areas (1) Regions (0) Abstract: This research uses multispectral short-waveinfrared (SWIR) and long-wave-infrared (LWIR) remote sensing to map mineralogy associated with hot springs and epithermal mineral deposits. Selected sites around the world covering a range of active/inactive hot springs and deposit types are being studied using the ODIS/ASTER airborne simulator (MASTER) and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER). MASTER and ASTER data analysis contribute to mineral mapping in the VNIR/SWIR, however, their main contribution is improved mapping of

416

Ocean - Regional Planning Efforts | Data.gov  

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

Regional Planning Efforts Regional Planning Efforts Ocean Data Tools Technical Guide Map Gallery Regional Planning Feedback Ocean You are here Data.gov » Communities » Ocean Regional Planning Efforts Marine planning is a science-based process that provides transparent information about ocean use and guarantees the public and stakeholders a voice early on in decisions affecting the uses of the marine environment. It is an inclusive, bottom-up approach that gives the Federal Government, States, and Tribes, with input from local communities, stakeholders, and the public, the ability to make informed decisions on how best to optimize the use of and protect the ocean, coasts, and Great Lakes. Under the National Ocean Policy, the United States is subdivided into nine regional planning areas. Within each region, Federal, State, and Tribal

417

Property:CoverageMap | Open Energy Information  

Open Energy Info (EERE)

CoverageMap CoverageMap Jump to: navigation, search This is a property of type String. Pages using the property "CoverageMap" Showing 25 pages using this property. (previous 25) (next 25) A ALLETE Inc., d/b/a Minnesota Power Smart Grid Project + SmartGridMap-ALLETEMNPower.JPG + American Transmission Company LLC II Smart Grid Project + SmartGridMap-AmericanTransmissionII.JPG + American Transmission Company LLC Smart Grid Project + SmartGridMap-AmericanTransmission.JPG + Atlantic City Electric Company Smart Grid Project + SmartGridMap-AtlanticCityElectric.JPG + Avista Utilities Smart Grid Project + SmartGridMap-AvistaUtilities.JPG + B Baltimore Gas and Electric Company Smart Grid Project + SmartGridMap-BaltimoreGasElectric.JPG + Black Hills Power, Inc. Smart Grid Project + SmartGridMap-BlackHills.JPG +

418

Wind: wind power density maps at 50 m above ground and 1km resolution for  

Open Energy Info (EERE)

eastern China from NREL eastern China from NREL Dataset Summary Description (Abstract): PDF maps of Eastern China wind mapping. (Purpose): To provide information on the wind resource potential in eastern China. Includes maps of full mapping region, and 15 sub-regions. (Supplemental Information): The modeling regions do not completely cover eastern China. Projection Parameters Projection LAMBERT_AZIMUTHAL Datum WGS84 Z-units METERS Units METERS Spheroid DEFINED Major Axis 6370997.00000 Minor Axis 0.00000 Parameters: radius of the sphere of reference 6370997.00000 Continue? longitude of center of projection 119 0 0.00 latitude of center of projection 33 30 0.000 false easting (meters) 0.00000 false northing (meters) 0.00000 Spatial Information Raster: Number of Columns: 2658 Number of Rows: 3926

419

A q-deformed nonlinear map  

E-Print Network (OSTI)

A scheme of q-deformation of nonlinear maps is introduced. As a specific example, a q-deformation procedure related to the Tsallis q-exponential function is applied to the logistic map. Compared to the canonical logistic map, the resulting family of q-logistic maps is shown to have a wider spectrum of interesting behaviours, including the co-existence of attractors -- a phenomenon rare in one dimensional maps.

Ramaswamy Jaganathan; Sudeshna Sinha

2004-08-19T23:59:59.000Z

420

Region 9: Pacific Rim Region, Regional Sustainability Plan  

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

REGION 9: PACIFIC RIM REGION REGION 9: PACIFIC RIM REGION Regional Sustainability Plan Presented by Ruth Cox Region 9 Regional Administrator Federal Utility Partnership Working Group (FUPWG) May 22 nd , 2013 REGION 9 INFORMATION MANAGE Federal space  36 million RSF in Region Nine * 173 owned buildings, 955 leased buildings * 100,000 Federal workers housed DESIGN & CONSTRUCT new Federal buildings $1.4 billion in FY12 capital construction projects $318 million in FY13 - Los Angeles Courthouse project PROVIDE PROCUREMENT LEADERSHIP across the Federal government  $1.24 billion in total GSA Schedule sales in FY12  $468 million to small businesses  34,000 fleet vehicles, 53% of which are Alternative Fuel Vehicles Pacific Rim Profile - CA, AZ, NV, HI

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421

Splinkerette PCR for Mapping Transposable Elements in Drosophila  

E-Print Network (OSTI)

Transposable elements (such as the P-element and piggyBac) have been used to introduce thousands of transgenic constructs into the Drosophila genome. These transgenic constructs serve many roles, from assaying gene/cell function, to controlling chromosome arm rearrangement. Knowing the precise genomic insertion site for the transposable element is often desired. This enables identification of genomic enhancer regions trapped by an enhancer trap, identification of the gene mutated by a transposon insertion, or simplifying recombination experiments. The most commonly used transgene mapping method is inverse PCR (iPCR). Although usually effective, limitations with iPCR hinder its ability to isolate flanking genomic DNA in complex genomic loci, such as those that contain natural transposons. Here we report the adaptation of the splinkerette PCR (spPCR) method for the isolation of flanking genomic DNA of any P-element or piggyBac. We report a simple and detailed protocol for spPCR. We use spPCR to 1) map a GAL4 enhancer trap located inside a natural transposon, pinpointing a master regulatory region for olfactory neuron expression in the brain; and 2) map all commonly used centromeric FRT insertion sites. The ease, efficiency, and efficacy of spPCR could make it a favored choice for the mapping of

Christopher J. Potter; Liqun Luo

2010-01-01T23:59:59.000Z

422

Mapping Fractures In The Medicine Lake Geothermal System | Open Energy  

Open Energy Info (EERE)

Fractures In The Medicine Lake Geothermal System Fractures In The Medicine Lake Geothermal System Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Mapping Fractures In The Medicine Lake Geothermal System Details Activities (1) Areas (1) Regions (0) Abstract: A major challenge to energy production in the region has been locating high-permability fracture zones in the largely impermeable volcanic host rock. An understanding of the fracture networks will be a key to harnessing geothermal resources in the Cascades Author(s): Steven Clausen, Michal Nemcok, Joseph Moore, Jeffrey Hulen, John Bartley Published: GRC, 2006 Document Number: Unavailable DOI: Unavailable Core Analysis At Medicine Lake Area (Clausen Et Al, 2006) Medicine Lake Geothermal Area Retrieved from "http://en.openei.org/w/index.php?title=Mapping_Fractures_In_The_Medicine_Lake_Geothermal_System&oldid=388927

423

NREL: Dynamic Maps, GIS Data, and Analysis Tools - Geothermal...  

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

for maps has never been easier. A screen capture of the MapSearch Map view option Geothermal Maps These maps show existing and developing geothermal power plants, geothermal...

424

A Precision Measurement of the Neutrino Mixing Angle theta_13 using Reactor Antineutrinos at Daya Bay  

E-Print Network (OSTI)

A reactor-neutrino experiment, Daya Bay, has been proposed to determine the least-known neutrino mixing angle theta_13 using electron antineutrinos produced at the Daya Bay nuclear power complex in China. Daya Bay is an international collaboration with institutions from China, the United States, the Czech Republic, Hong Kong, Russia, and Taiwan. The experiment will use eight identical detectors deployed at three different locations optimized for monitoring the antineutrino rates from the six reactors and for detecting any rate deficit and spectral distortion near the first oscillation maximum. The overburden of the under ground experimental halls, connected with tunnels, ranges from about 250 to 900 meters-water-equivalent so that the cosmogenic background is small compared to the number of observed antineutrino events. Civil construction of tunnels and experimental facilities is planned to start in 2007, with detector construction beginning in 2008. The experiment will begin collecting data in 2010. By compa...

Guo, Xinheng

2007-01-01T23:59:59.000Z

425

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

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

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

426

Wind Resource Estimation and Mapping at the National Renewable Energy Laboratory  

DOE Green Energy (OSTI)

The National Renewable Energy Laboratory (NREL) has developed an automated technique for wind resource mapping to aid in the acceleration of wind energy deployment. The new automated mapping system was developed with the following two primary goals: (1) to produce a more consistent and detailed analysis of the wind resource for a variety of physiographic settings, particularly in areas of complex terrain; and (2) to generate high quality map products on a timely basis. Using computer mapping techniques reduces the time it takes to produce a wind map that reflects a consistent analysis of the distribution of the wind resource throughout the region of interest. NREL's mapping system uses commercially available geographic information system software packages. Regional wind resource maps using this new system have been produced for areas of the United States, Mexico, Chile, Indonesia (1), and China. Countrywide wind resource assessments are under way for the Philippines, the Dominican Re public, and Mongolia. Regional assessments in Argentina and Russia are scheduled to begin soon.

Schwartz, M.

1999-04-07T23:59:59.000Z

427

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

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

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

428

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

DOE Green Energy (OSTI)

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

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

2011-11-01T23:59:59.000Z

429

Sandbag Carbon Offset Map | Open Energy Information  

Open Energy Info (EERE)

Sandbag Carbon Offset Map Sandbag Carbon Offset Map Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Sandbag Carbon Offset Map Agency/Company /Organization: Sandbag Sector: Energy, Land Focus Area: Renewable Energy, Biomass, Energy Efficiency, Forestry, Geothermal, Hydrogen, Industry, Solar, Wind Topics: Market analysis Resource Type: Maps, Software/modeling tools User Interface: Website Website: sandbag.org.uk/carbondata/cers Sandbag Carbon Offset Map Screenshot References: Sandbag Carbon Offset Map[1] Thinking about climate change can be a depressing occupation. It's a massive issue and personal actions like switching off lights and unplugging televisions can feel like small contributions. Background "Thinking about climate change can be a depressing occupation. It's a

430

San Andreas Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

San Andreas Geothermal Region San Andreas Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home San Andreas Geothermal Region Details Areas (4) Power Plants (0) Projects (0) Techniques (1) Map: {{{Name}}} The topographic texture of western California is controlled by the San Andreas fault system, the tectonic expression of the Pacific Plate sliding northwestward along the western margin of the North American Plate. Hundreds of miles long and in places up to a mile wide, the San Andreas Fault Zone has been active since its origin in the Tertiary. About 10 percent of the present plate motion is compressional, shortening and wrinkling the crust to create the parallel coastal northwest-southeast mountain ranges. USGS Physiographic Regions[1] References ↑ "USGS Physiographic Regions"

431

Northern Rockies Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

Northern Rockies Geothermal Region Northern Rockies Geothermal Region Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Northern Rockies Geothermal Region Details Areas (0) Power Plants (0) Projects (0) Techniques (0) Map: {{{Name}}} Province is situated in northern Idaho and western Montana and includes folded mountains, fault-bounded uplifts, and volcanics formed during middle Cretaceous to late Eocene mountain period. The region is structtually cojmplex with faulting and folding asociated with eastward thrust faulting. Western Montana and northwestern Wyoming contain large areas of Tertiary volcanic rocks, including smaller localized Quaternary silicic volcanic rocks. Replace Citation[1] References ↑ "Replace Citation" Geothermal Region Data State(s) Idaho, Montana Area 97,538 km²97,538,000,000 m²

432

Lake Region State College | Open Energy Information  

Open Energy Info (EERE)

College College Jump to: navigation, search Name Lake Region State College Facility Lake Region State College Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Lake Region State College Developer Lake Region State College Energy Purchaser Lake Region State College Location Devils Lake ND Coordinates 48.166071°, -98.864529° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":48.166071,"lon":-98.864529,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

433

Energy Maps | Data.gov  

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

data can provide insight into regional, industrial, and economic factors that influence energy consumption and generation across the United States. Federal agencies collect...

434

Analysis of the Pass Cavallo shipwreck assemblage, Matagorda Bay, Texas  

E-Print Network (OSTI)

A survey conducted in February of 1998 located an anomaly originally believed to be the remains of L'Aimable. L'Aimable was one of four ships utilized by Rene-Robert Cavelier, Sieur de La Salle, for his voyage to colonize the Gulf Coast in 1684. The anomaly, a wrecked vessel with a heavy iron signature, was located outside the entrance to the historic pass into Matagorda Bay, Texas. Artifacts were extracted from the wreck site to aid in the identification of the vessel, which was subsequently determined to be more recent in origin. A preliminary examination of the artifacts indicates that the shipwreck dates to the first half of the 19th century. The survey recovered over two hundred artifacts. The assemblage of artifacts includes over 80 lead shot, over 40 examples of brass firearm furniture, over 15 firearm fragments, several pieces of copper sheathing, and iron bar stock. Almost two-thirds of the material is associated with small arms. The majority of the identifiable firearms are military arms of three patterns: the British Short Land Pattern, the British India Pattern, and the 1757 Spanish musket. Historical research has determined that these arms were circulating in Texas, New Orleans, and Mexico, as early as 1815. The British Pattern arms were both purchased for the Mexican army in the 1820s, and used by the British Infantry in the Battle of New Orleans in 1815. The 1757 Spanish musket was used chiefly by Spanish expeditionary forces in North America in the late 18th century. Evidence garnered from the artifacts suggest that the firearms were shipboard cargo onboard a small, wood-hulled sailing vessel that wrecked between the years 1815 and 1845. Archival and historical research isolated nine wreck candidates for this period. Historical research and artifact analysis suggest the Hannah Elizabeth as the primary candidate for this wreck site. The Hannah Elizabeth was a small merchant schooner from New Orleans laden with a munitions cargo for Texas troops stationed at Goliad. The vessel wrecked at the entrance of the historic Pass Cavallo while evading capture from a Mexican brig-of-war in November of 1835.

Borgens, Amy Anne

2005-05-01T23:59:59.000Z

435

Solar Glare and Flux Mapping  

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

SGFMT Home SGFMT Home Register Glare Analysis Solar Glare Hazard Analysis SGHAT 1.0 (old) Empirical Glare Analysis Analytical Glare Analysis PHLUX Mapping Reflectivity Calculator References Contact Us Solar Glare and Flux Mapping Tools Measurement of reflected solar irradiance is receiving significant attention by industry, military, and government agencies to assess potential impacts of glint and glare from growing numbers of solar power installations around the world. In addition, characterization of the incident solar flux distribution on central receivers for concentrating solar power applications is important to monitor and maintain system performance. This website contains tools to evaluate solar glare and receiver irradiance. Register to access the tools Solar Glare Hazard Analysis Tool

436

Acoustic Mapping within the Heart  

Science Conference Proceedings (OSTI)

A cylindrical bariumtitanate element has been placed at the distal end of a specially designed catheter and used in studies of heartsounds of dogs and humans. The heartsounds have been recorded with the sensitive catheter located directly in the heart and in the pulmonary artery. The location of the catheter at each mapping station has been monitored with x?ray photographs; simultaneous electrocardiogram and wide band sounds were recorded on a photographic galvanometer. The sounds were recorded on tape with several filtercharacteristics

John D. Wallace; James R. Brown Jr.; David H. Lewis; George W. Deitz

1956-01-01T23:59:59.000Z

437

A Searchable Knowledge Map Based on Ontology  

Science Conference Proceedings (OSTI)

Knowledge visualization and retrieval are the key techniques to implement effective knowledge management. Traditional research on knowledge map emphasizes on building global view of knowledge base, but ignores its support to knowledge retrieval. In this ... Keywords: knowledge map, search, ontology

Qi Xiong; Yingling Wang; Jianmei Guo; Guilin Wu

2008-12-01T23:59:59.000Z

438

Google Crisis Map for Hurricane Sandy  

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

The Google Crisis Map has power outage information, shelter and recovery centers, local emergency Twitter feeds, FEMA disaster declared areas and more. | This map is created and maintained by...

439

Seismic Hazard Assessment of the Sheki-Ismayilli Region, Azerbaijan  

Science Conference Proceedings (OSTI)

Seismic hazard assessment is an important factor in disaster management of Azerbaijan Republic. The Shaki-Ismayilli region is one of the earthquake-prone areas in Azerbaijan. According to the seismic zoning map, the region is located in intensity IX zone. Large earthquakes in the region take place along the active faults. The seismic activity of the Shaki-Ismayilli region is studied using macroseismic and instrumental data, which cover the period between 1250 and 2003. Several principal parameters of earthquakes are analyzed: maximal magnitude, energetic class, intensity, depth of earthquake hypocenter, and occurrence. The geological structures prone to large earthquakes are determined, and the dependence of magnitude on the fault length is shown. The large earthquakes take place mainly along the active faults. A map of earthquake intensity has been developed for the region, and the potential seismic activity of the Shaki-Ismayilli region has been estimated.

Ayyubova, Leyla J. [Geology Institute, Azerbaijan National Academy of Sciences, 29A, H. Javid Ave., Baku 1143 (Azerbaijan)

2006-03-23T23:59:59.000Z

440

Geographic Resource Map of Frozen Pipe Probabilities  

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

Presentation slide details a resource map showing the probability of frozen pipes in the geographic United States.

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


441

An inverse theorem on 'economic' maps  

SciTech Connect

We prove that the bound from the theorem on 'economic' maps is best possible. Namely, for m>n+d we construct a map from an n-dimensional simplex to an m-dimensional Euclidean space for which (and for any close map) there exists a d-dimensional plane whose preimage has cardinality not less than the upper bound [(dn+n+1)/(m-n-d)]+d from the theorem on 'economic' maps. Bibliography: 16 titles.

Bogataya, Svetlana I; Bogatyi, Semeon A; Kudryavtseva, Elena A

2012-04-30T23:59:59.000Z

442

Total field aeromagnetic map of the Raft River known Geothermal Resource  

Open Energy Info (EERE)

field aeromagnetic map of the Raft River known Geothermal Resource field aeromagnetic map of the Raft River known Geothermal Resource Area, Idaho by the US Geological Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Report: Total field aeromagnetic map of the Raft River known Geothermal Resource Area, Idaho by the US Geological Survey Details Activities (1) Areas (1) Regions (0) Abstract: GEOTHERMAL ENERGY; MAGNETIC SURVEYS; MAPS; RAFT RIVER VALLEY; AERIAL SURVEYING; GEOTHERMAL RESOURCES; IDAHO; KGRA; FEDERAL REGION X; GEOPHYSICAL SURVEYS; NORTH AMERICA; RESOURCES; SURVEYS; USA Author(s): Geological Survey, Denver, CO (USA) Published: DOE Information Bridge, 1/1/1981 Document Number: Unavailable DOI: 10.2172/5456508 Source: View Original Report Aeromagnetic Survey At Raft River Geothermal Area (1981) Raft River Geothermal Area

443

Category:Map Files | Open Energy Information  

Open Energy Info (EERE)

image files, and where available, links to KMZ image files, and where available, links to KMZ sources used to generate the image files. Add.png Add a new Map File Subcategories This category has the following 4 subcategories, out of 4 total. M [×] Map Image Files‎ [×] Map PDF Files‎ N [×] NREL Map Files‎ 1 pages S [×] SWERA Map Files‎ Media in category "Map Files" The following 200 files are in this category, out of 1,687 total. (previous 200) (next 200) Australia-Solar-Map.png Australia-Solar-Map.png 55 KB Banglmetst 221.pdf Banglmetst 221.pdf 5.42 MB Black.Warrior.Basin usgs.map.pdf Black.Warrior.Basin us... 148 KB BOEMRE atlantic.OCS.multiple.use.map.2003.pdf BOEMRE atlantic.OCS.mu... 3.06 MB BOEMRE lease.platforms.santa.barb.map.5.2010.pdf BOEMRE lease.platforms... 1.41 MB BOEMRE OCS.oil.gas.2007-12.map.pdf

444

Simultaneous Localization, Mapping and Moving Object Tracking  

Science Conference Proceedings (OSTI)

Simultaneous localization, mapping and moving object tracking (SLAMMOT) involves both simultaneous localization and mapping (SLAM) in dynamic environments and detecting and tracking these dynamic objects. In this paper, a mathematical framework is ... Keywords: detection, localization, mapping, mobile robotics, robotic perception, tracking

Chieh-Chih Wang; Charles Thorpe; Sebastian Thrun; Martial Hebert; Hugh Durrant-Whyte

2007-09-01T23:59:59.000Z

445

Guidelines for Mapping Requirements to Technologies  

Science Conference Proceedings (OSTI)

This report describes in a concise format the IntelliGrid methodology for determining appropriate technologies to meet a given set of system requirements for advanced metering infrastructures (AMI). The process consists of three steps: 1) map technologies to functional areas of AMI, 2) map requirements to components and, therefore, functional areas of AMI, and 3) map individual requirements to technologies.

2008-06-17T23:59:59.000Z

446

MARLA: MapReduce for Heterogeneous Clusters  

Science Conference Proceedings (OSTI)

MapReduce has gradually become the framework of choice for "big data". The MapReduce model allows for efficient and swift processing of large scale data with a cluster of compute nodes. However, the efficiency here comes at a price. The performance of ... Keywords: MapReduce, MARLA, MARIANE, HADOOP

Zacharia Fadika; Elif Dede; Jessica Hartog; Madhusudhan Govindaraju

2012-05-01T23:59:59.000Z

447

Measuring students' information skills through concept mapping  

Science Conference Proceedings (OSTI)

This paper seeks to develop a methodology that will discover, specify and measure students?? abilities and skills in creating concept maps. Because competencies are the key factor in higher education, the paper analyzes the role of concept maps ... Keywords: competencies, concept maps, information literacy, information organization, skills

Maria Pinto; Anne-Vinciane Doucet; Andrs Fernndez-Ramos

2010-08-01T23:59:59.000Z

448

Geothermal gradient map of the United States  

Science Conference Proceedings (OSTI)

A geothermal gradient map is needed in order to determine the hot dry rock (HDR) geothermal resource of the United States. Based on published and unpublished data (including new measurements) the HDR program will produce updated gradient maps annually, to be used as a tool for resource evaluation and exploration. The 1980 version of this map is presented.

Kron, A.; Heiken, G.

1980-01-01T23:59:59.000Z

449

Bimodal Character of Cyclone Climatology in the Bay of Bengal Modulated by Monsoon Seasonal Cycle  

Science Conference Proceedings (OSTI)

The annual cycle of tropical cyclone (TC) frequency over the Bay of Bengal (BoB) exhibits a notable bimodal character, different from a single peak in other basins. The causes of this peculiar feature were investigated through the diagnosis of a ...

Zhi Li; Weidong Yu; Tim Li; V. S. N. Murty; Fredolin Tangang

2013-02-01T23:59:59.000Z

450

Using hydrodynamic modeling for estimating flooding and water depths in grand bay, alabama  

Science Conference Proceedings (OSTI)

This paper presents a methodology for using hydrodynamic modeling to estimate inundation areas and water depths during a hurricane event. The Environmental Fluid Dynamic Code (EFDC) is used in this research. EFDC is one of the most commonly applied models ... Keywords: EFDC, flooding, grand bay, grid generation, hydrodynamics, inundation, modeling

Vladimir J. Alarcon; William H. McAnally

2012-06-01T23:59:59.000Z

451

Storm-Induced Circulation in Lunenburg Bay of Nova Scotia: Observations and Numerical Simulations  

Science Conference Proceedings (OSTI)

An extreme weather event (Hurricane Juan) made landfall in Nova Scotia, Canada, in September 2003. The storm produced an 70-cm storm surge and 40 cm s?1 coastal currents in Lunenburg Bay, registered by a coastal observing system. A fine-...

Liang Wang; Jinyu Sheng; Alex E. Hay; Douglas J. Schillinger

2007-04-01T23:59:59.000Z

452

Marsh Island (PortersvIlle Bay) restoratIon Project General Project DescriPtion  

E-Print Network (OSTI)

spill. Total estimated Offsets for the Marsh Island Project are 540 DSAYs. estiMated cost: Construction of the Marsh Island Project would cost approximately $11,280,000. (Estimated costs for some of the projectsMarsh Island (PortersvIlle Bay) restoratIon Project General Project DescriPtion The Marsh Island

453

Intro Pb Model Gibbs Simus Multi Bayes Gibbs Simus Change-point Detection in Astronomical Data  

E-Print Network (OSTI)

. The Poisson rate parameter varies as determined by the actual changes in brightness of the Gamma Ray Burst, Bordeaux, '05 #12;Intro Pb Model Gibbs Simus Multi Bayes Gibbs Simus Introduction BATSE module Burst And Transient Source Experiment The Compton -Ray Observatory N. Dobigeon, J.-Y. Tourneret, J.D. Scargle IEEE

Tourneret, Jean-Yves

454

Systems Performance Analyses of Alaska Wind-Diesel Projects; Toksook Bay, Alaska (Fact Sheet)  

DOE Green Energy (OSTI)

This fact sheet summarizes a systems performance analysis of the wind-diesel project in Toksook Bay, Alaska. Data provided for this project include community load data, average wind turbine output, average diesel plant output, thermal load data, average net capacity factor, optimal net capacity factor based on Alaska Energy Authority wind data, average net wind penetration, estimated fuel savings, and wind system availability.

Baring-Gould, I.

2009-04-01T23:59:59.000Z

455

Remote monitoring of hypersaline environments in San Francisco Bay, CA, USA  

Science Conference Proceedings (OSTI)

As part of a historic remediation project, approximately 61km2 of salt evaporation ponds in the southern portion of San Francisco Bay, CA (USA) are scheduled for restoration to natural tidal marsh habitat over the next several decades. We have ...

J. B. Dalton; L. J. Palmer-Moloney; D. Rogoff; C. Hlavka; C. Duncan

2009-01-01T23:59:59.000Z

456

Evolution of the Monterey Bay Sea-Breeze Layer As Observed by Pulsed Doppler Lidar  

Science Conference Proceedings (OSTI)

As part of the Land/Sea Breeze Experiment (LASBEX) to study the sea breeze at Monterey Bay, the pulsed Doppler lidar of the NOAA/ERL Wave Propagation Laboratory performed vertical and nearly horizontal scans of the developing sea breeze on 12 ...

Robert M. Banta; Lisa D. Olivier; David H. Levinson

1993-12-01T23:59:59.000Z

457

Recent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula  

E-Print Network (OSTI)

of phase aliasing caused by high rates of ice deformation. [6] Glacier grounding lines were derived fromRecent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula E. Rignot ice thickness data from 2002, reveal that the glaciers flowing into former Wordie Ice Shelf, West

Kansas, University of

458

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

E-Print Network (OSTI)

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

Yifang Wang

2006-10-09T23:59:59.000Z

459

Instrumented Aircraft Observations of the Katabatic Wind Regime Near Terra Nova Bay  

Science Conference Proceedings (OSTI)

Two aircraft missions to sample the boundary layer dynamics associated with the intense katabatic wind regime at Terra Nova Bay, Antarctica were flown on successive days in early November 1987. Light winds averaging 5 m s?1 were monitored at the ...

Thomas R. Parish; David H. Bromwich

1989-07-01T23:59:59.000Z

460

Comparison And Discussion Of The 6 Km Temperature Maps Of The Western Us  

Open Energy Info (EERE)

Comparison And Discussion Of The 6 Km Temperature Maps Of The Western Us Comparison And Discussion Of The 6 Km Temperature Maps Of The Western Us Prepared By The Smu Geothermal Lab And The Usgs Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Conference Paper: Comparison And Discussion Of The 6 Km Temperature Maps Of The Western Us Prepared By The Smu Geothermal Lab And The Usgs Details Activities (1) Areas (1) Regions (0) Abstract: Interpretations of temperature-at-6 km depth maps for the western US are compared and three areas of difference are discussed in detail. These three areas are critical for EGS resource evaluation yet they are quite different between the two maps. The data in these three areas (the northern Oregon Cascade Range, the Snake River Plain, and the northern Great Basin) bearing on the interpretations are discussed. There is a large

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


461

File:Sri Lanka Wind Resource Map.pdf | Open Energy Information  

Open Energy Info (EERE)

Sri Lanka Wind Resource Map.pdf Sri Lanka Wind Resource Map.pdf Jump to: navigation, search File File history File usage Sri Lanka Wind Resource Map Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 1.85 MB, MIME type: application/pdf) This map was produced by NREL with technical assistance from TrueWind Solutions and with funding from the U.S. Agency for International Development. Description Sri Lanka Wind Resource Map Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Wind Creation Date 2004-06 Extent International Countries Sri Lanka UN Region Southern Asia File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment

462

Sensitivity of a Mesoscale Model to Microphysical Parameterizations in the MAP SOP Events IOP2b and IOP8  

Science Conference Proceedings (OSTI)

The sensitivity of a mesoscale model to different microphysical parameterizations is investigated for two events of precipitation in the Mediterranean region, that is, the Mesoscale Alpine Program (MAP) intensive observation periods (IOP) 2b (19...

Stefano Serafin; Rossella Ferretti

2007-09-01T23:59:59.000Z

463

Bay Head, New Jersey: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Head, New Jersey: Energy Resources Head, New Jersey: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.0717828°, -74.0543036° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.0717828,"lon":-74.0543036,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

464

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

Open Energy Info (EERE)

Florida: Energy Resources Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.8462074°, -80.1539351° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.8462074,"lon":-80.1539351,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

465

Bay County, Michigan: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

7109732°, -84.0167423° 7109732°, -84.0167423° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":43.7109732,"lon":-84.0167423,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

466

Huntington Bay, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

New York: Energy Resources New York: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 40.8998203°, -73.4148418° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.8998203,"lon":-73.4148418,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

467

Bay Point, California: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Point, California: Energy Resources Point, California: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 38.0290872°, -121.9616274° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":38.0290872,"lon":-121.9616274,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

468

Palmetto Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

5.6217715°, -80.3247748° 5.6217715°, -80.3247748° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.6217715,"lon":-80.3247748,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

469

Bay View, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

4686626°, -82.8268547° 4686626°, -82.8268547° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.4686626,"lon":-82.8268547,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

470

Bay Shore, New York: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

986°, -73.2453946° 986°, -73.2453946° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.7250986,"lon":-73.2453946,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

471

Bay Village, Ohio: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Ohio: Energy Resources Ohio: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 41.4847662°, -81.9220845° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":41.4847662,"lon":-81.9220845,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

472

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

Open Energy Info (EERE)

102°, -73.2812293° 102°, -73.2812293° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.7087102,"lon":-73.2812293,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

473

Bay County, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

1805306°, -85.684578° 1805306°, -85.684578° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":30.1805306,"lon":-85.684578,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

474

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

Open Energy Info (EERE)

59024°, -73.260978° 59024°, -73.260978° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":40.759024,"lon":-73.260978,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

475

Bay Hill, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Florida: Energy Resources Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 28.4680604°, -81.5161839° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":28.4680604,"lon":-81.5161839,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

476

Bay Lake, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

3886186°, -81.5659069° 3886186°, -81.5659069° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":28.3886186,"lon":-81.5659069,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

477

Bay Harbor Islands, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Harbor Islands, Florida: Energy Resources Harbor Islands, Florida: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 25.8875948°, -80.1311564° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":25.8875948,"lon":-80.1311564,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

478

Mission Bay, Florida: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

3700772°, -80.2097689° 3700772°, -80.2097689° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":26.3700772,"lon":-80.2097689,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

479

Bristol Bay Borough, Alaska: Energy Resources | Open Energy Information  

Open Energy Info (EERE)

Borough, Alaska: Energy Resources Borough, Alaska: Energy Resources Jump to: navigation, search Equivalent URI DBpedia Coordinates 58.7578504°, -156.7792687° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":58.7578504,"lon":-156.7792687,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

480

Wholesale power price maps reflect real-time constraints ...  

U.S. Energy Information Administration (EIA)

U.S. States. State energy information, detailed and overviews. Maps. Maps by energy source and topic, includes forecast maps. Countries. Country ...

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


481

Google Crisis Map for Hurricane Sandy | Department of Energy  

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

Map for Hurricane Sandy Google Crisis Map for Hurricane Sandy The Google Crisis Map has power outage information, shelter and recovery centers, local emergency Twitter feeds,...

482

Smart Grid Investment Grants: Map of Projects | Department of...  

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

Grants: Map of Projects Smart Grid Investment Grants: Map of Projects Map showing the distribution of project types awarded across the United States through the Smart Grid...

483

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

DOE Green Energy (OSTI)

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.

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

2012-05-01T23:59:59.000Z

484

Teleseismic-Seismic Monitoring At Central Nevada Seismic Zone Region  

Open Energy Info (EERE)

Biasi, Et Al., 2008) Biasi, Et Al., 2008) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Teleseismic-Seismic Monitoring At Central Nevada Seismic Zone Region (Biasi, Et Al., 2008) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region Exploration Technique Teleseismic-Seismic Monitoring Activity Date Usefulness useful regional reconnaissance DOE-funding Unknown References Glenn Biasi, Ileana Tibuleac, Leiph Preston (2008) Regional Resource Area Mapping In Nevada Using The Usarray Seismic Network Retrieved from "http://en.openei.org/w/index.php?title=Teleseismic-Seismic_Monitoring_At_Central_Nevada_Seismic_Zone_Region_(Biasi,_Et_Al.,_2008)&oldid=425638" Category: Exploration Activities What links here

485

Site Map | Advanced Photon Source  

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

Welcome Welcome Visitor Information Job Openings Apply for Beam Time Machine Status | Schedule Conferences Seminars & Meetings Publications Safety and Training Construction Schedule Find People Organization Charts Email | WebVPN | Intranet APS Conference Rooms Suggestion Box Document Central Argonne Guest House external link Argonne Accelerator Inst. external link National User Facility Org. external link lightsources.org external link Facebook Twitter YouTube Wikipedia Site Map Looking for something else? Try a site search or contact webmaster for assistance. About Welcome Overview Visiting the APS Mission and Goals Organization Charts Committees Job Openings User Information For Prospective Users For New Users For Current Users For Administrators Find a Beamline Contacts Calendars Community

486

A Survey of C-Band RFI in the Chesapeake Bay Region using WindSat Radiometry  

E-Print Network (OSTI)

equal to four times the mean spacing of the swath data obtained from WindSat. This grid spacing June 27, 2004 Contents 1 Introduction 2 2 WindSat 2 3 Analysis 2 Bradley Dept. of Electrical & Computer on the circumstances. This advance information on RFI distribution can be obtained from an analysis of radiometry from

Ellingson, Steven W.

487

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

E-Print Network (OSTI)

Pacific Ocean, mainly from oil-refining discharges internalto target both agricultural and oil refinery sources of Se (2011a). The presence of a major oil-refining industry in the

Presser, Theresa S.; Luoma, Samuel N.

2013-01-01T23:59:59.000Z

488

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

E-Print Network (OSTI)

Solar Firm, Yingli Green Energy Americas to San Francisco. and Cleantech. US-China Green Energy Council Seminar. Palo85 In July 2009, Yingli Green Energy Americas announced its

Volberding, Peter

2011-01-01T23:59:59.000Z

489

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

E-Print Network (OSTI)

No. ERP01C07. 515 p. [NRC] National Research Council.estuary & watershed science [NRC] National Research Council.Delta. Aquatic Toxicology [NRC] National Research Council.

Presser, Theresa S.; Luoma, Samuel N.

2013-01-01T23:59:59.000Z

490

Wind Resource Map: Mexico | Open Energy Information  

Open Energy Info (EERE)

Wind Resource Map: Mexico Wind Resource Map: Mexico Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Resource Map: Mexico Focus Area: Renewable Energy Topics: Potentials & Scenarios Website: www.altestore.com/howto/Reference-Materials/Wind-Resource-Map-Mexico/a Equivalent URI: cleanenergysolutions.org/content/wind-resource-map-mexico,http://clean Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This is on-shore wind resource map for rural power applications in Mexico. The map can be used to aid in appropriate siting of wind power installations. Please note that the wind speed classes are taken at 30 m (100 feet [ft]), instead of the usual 10 m (33 ft). Each wind power class should span two power densities. For example, Wind Power Class = 3

491

San Andreas Geothermal Region | Open Energy Information  

Open Energy Info (EERE)

San Andreas Geothermal Region San Andreas Geothermal Region (Redirected from San Andreas) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home San Andreas Geothermal Region Details Areas (4) Power Plants (0) Projects (0) Techniques (1) Map: {{{Name}}} The topographic texture of western California is controlled by the San Andreas fault system, the tectonic expression of the Pacific Plate sliding northwestward along the western margin of the North American Plate. Hundreds of miles long and in places up to a mile wide, the San Andreas Fault Zone has been active since its origin in the Tertiary. About 10 percent of the present plate motion is compressional, shortening and wrinkling the crust to create the parallel coastal northwest-southeast mountain ranges. USGS Physiographic Regions[1]

492

Regional companies eye growth  

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

Regional companies eye growth Regional companies eye growth Adaptive Radio Technologies, Los Alamos Visualization Associates, Mesa Tech International Inc., and ThermaSun Inc. were...

493

File:East China Map Reference.pdf | Open Energy Information  

Open Energy Info (EERE)

China Map Reference.pdf China Map Reference.pdf Jump to: navigation, search File File history File usage East China Reference Maps Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 640 KB, MIME type: application/pdf) Reference map for wind power density maps at 50 m above ground and 1km resolution for eastern China from NREL Description East China Reference Maps Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Wind Creation Date 2005-11-07 Extent International Countries China UN Region Eastern Asia File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 14:12, 15 June 2011 Thumbnail for version as of 14:12, 15 June 2011 1,275 × 1,650 (640 KB) Nlangle (Talk | contribs) Reference map for wind power density maps at 50 m above ground and 1km resolution for eastern China from NREL

494

File:NREL-BioMap.pdf | Open Energy Information  

Open Energy Info (EERE)

BioMap.pdf BioMap.pdf Jump to: navigation, search File File history File usage Biomass Power Potential (GW) on Federal Lands by County Size of this preview: 776 × 600 pixels. Go to page 1 2 3 4 5 6 7 Go! next page → next page → Full resolution ‎(1,650 × 1,275 pixels, file size: 1.55 MB, MIME type: application/pdf, 7 pages) Title Biomass Power Potential (GW) on Federal Lands by County Description Biomass Power Potential (GW) on Federal Lands by County Sources National Renewable Energy Laboratory Authors Donna Heimiller Related Technologies Biomass Creation Date 2009-01-30 Extent National Countries United States UN Region Northern America File history Click on a dat