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Sample records for bay area barrow

  1. Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Bob Busey; Larry Hinzman; William Cable; Vladimir Romanovsky

    Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.

  2. Surface Meteorology, Barrow, Alaska, Area A, B, C and D, Ongoing from 2012

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Bob Busey; Larry Hinzman; William Cable; Vladimir Romanovsky

    2014-12-04

    Meteorological data are being collected at several points within four intensive study areas in Barrow. These data assist in the calculation of the energy balance at the land surface and are also useful as inputs into modeling activities.

  3. Subsurface Temperature, Moisture, Thermal Conductivity and Heat Flux, Barrow, Area A, B, C, D

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Cable, William; Romanovsky, Vladimir

    Subsurface temperature data are being collected along a transect from the center of the polygon through the trough (and to the center of the adjacent polygon for Area D). Each transect has five 1.5m vertical array thermistor probes with 16 thermistors each. This dataset also includes soil pits that have been instrumented for temperature, water content, thermal conductivity, and heat flux at the permafrost table. Area C has a shallow borehole of 2.5 meters depth is instrumented in the center of the polygon.

  4. Subsurface Temperature, Moisture, Thermal Conductivity and Heat Flux, Barrow, Area A, B, C, D

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Cable, William; Romanovsky, Vladimir

    2014-03-31

    Subsurface temperature data are being collected along a transect from the center of the polygon through the trough (and to the center of the adjacent polygon for Area D). Each transect has five 1.5m vertical array thermistor probes with 16 thermistors each. This dataset also includes soil pits that have been instrumented for temperature, water content, thermal conductivity, and heat flux at the permafrost table. Area C has a shallow borehole of 2.5 meters depth is instrumented in the center of the polygon.

  5. Geological oceanography of the Atchafalaya Bay area, Louisiana 

    E-Print Network [OSTI]

    Thompson, Warren Charles

    1953-01-01

    GEOLOGICAL OCEANOGRAPHY OF THE ATCHAFALAYA BAY AREA, LOUISIANA A Dissertation By WARREN CHARLES THOMPSON Approved as to style and content by: t/yu*-. W. Armstrong Price,' Chairman of Committee Dale F. Leipper, Head of May 1953 GEOLOGICAL... OCEANOGRAPHY OF THE ATCHAFALAYA BAY AREA, LOUISIANA By WARREN CHARLES THOMPSON111 A Dissertation Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfillment of the requirements for the degree of DOCTOR...

  6. Bristol Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin:PontiacInformation Forest ServiceBridgewater2Bristol Bay

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

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

    Energy Secretary 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...

  8. ARM - NSA Barrow Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, Alaska Outreach

  9. Sandia Energy - Bay-Area National Labs Team to Tackle Long-Standing...

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

    Bay-Area National Labs Team to Tackle Long-Standing Automotive Hydrogen-Storage Challenge Home Energy Transportation Energy Facilities Capabilities News News & Events Research &...

  10. NGEE Arctic Webcam Photographs, Barrow Environmental Observatory, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Bob Busey; Larry Hinzman

    The NGEE Arctic Webcam (PTZ Camera) captures two views of seasonal transitions from its generally south-facing position on a tower located at the Barrow Environmental Observatory near Barrow, Alaska. Images are captured every 30 minutes. Historical images are available for download. The camera is operated by the U.S. DOE sponsored Next Generation Ecosystem Experiments - Arctic (NGEE Arctic) project.

  11. NGEE Arctic Webcam Photographs, Barrow Environmental Observatory, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Bob Busey; Larry Hinzman

    2012-04-01

    The NGEE Arctic Webcam (PTZ Camera) captures two views of seasonal transitions from its generally south-facing position on a tower located at the Barrow Environmental Observatory near Barrow, Alaska. Images are captured every 30 minutes. Historical images are available for download. The camera is operated by the U.S. DOE sponsored Next Generation Ecosystem Experiments - Arctic (NGEE Arctic) project.

  12. ARM - Kiosks - Barrow, Alaska

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments?govInstrumentsnoaacrnBarrow, Alaska Outreach Home Room News Publications Traditional Knowledge Kiosks

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

    SciTech Connect (OSTI)

    Not Available

    2010-07-01

    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.

  14. NOAA Selects Alaska's Kachemak Bay as New Habitat Focus Area

    E-Print Network [OSTI]

    · Resilient coastal communities · Increased coastal/marine tourism, access, and recreation Alaska is also fishing, marine transportation, tourism. A Marine Researcher's Paradise Although Kachemak Bay has amazing

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

    SciTech Connect (OSTI)

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

    1996-02-01

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

  16. Carsharing Parking Policy: A Review of North American Practices and San Francisco Bay Area Case Study

    E-Print Network [OSTI]

    Shaheen, Susan; Cohen, Adam P.; Martin, Elliot

    2010-01-01

    Salt Lake City. Free Metered Parking for “Green Vehicles. ”www.slcgov.com/Transportation/Parking/green.htm AccessedAccessed June 24, 2009. 27. Parking. San Francisco Bay Area

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

    E-Print Network [OSTI]

    Yanagihara, R.; Okagaki, A.

    2006-01-01

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

  18. Continuous Snow Depth, Intensive Site 1, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Bob Busey; Larry Hinzman; Vladimir Romanovsky; William Cable

    Continuous Snow depth data are being collected at several points within four intensive study areas in Barrow, Alaska. These data are being collected to better understand the energy dynamics above the active layer and permafrost. They complement in-situ snow and soil measurements at this location. The data could also be used as supporting measurements for other research and modeling activities.

  19. Continuous Snow Depth, Intensive Site 1, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Bob Busey; Larry Hinzman; Vladimir Romanovsky; William Cable

    2014-11-06

    Continuous Snow depth data are being collected at several points within four intensive study areas in Barrow, Alaska. These data are being collected to better understand the energy dynamics above the active layer and permafrost. They complement in-situ snow and soil measurements at this location. The data could also be used as supporting measurements for other research and modeling activities.

  20. Tampa Bay Area Ethanol Consortium | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EISTJ Automation Jump to: navigation, searchTalty, Texas: EnergyIncBay

  1. Recipes from the Secret Book of Artephius San Francisco Bay Area, California

    E-Print Network [OSTI]

    Owens, John

    Recipes from the Secret Book of Artephius Gold Team San Francisco Bay Area, California The Codex Leicester Introduction We seek the recipes contained in The Secret Book of Artephius, a text first. While in the possession of the Vatican, the recipes contained in the text were sold twice during

  2. Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Atchley, Adam; Painter, Scott; Harp, Dylan; Coon, Ethan; Wilson, Cathy; Liljedahl, Anna; Romanovsky, Vladimir

    A model-observation-experiment process (ModEx) is used to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. Each column was used in a coupled calibration to identify moss, peat and mineral soil hydrothermal properties to be used in up-scaled simulations. Observational soil temperature data from a tundra site located near Barrow, AK (Area C) is used to calibrate thermal properties of moss, peat, and sandy loam soil to be used in the multiphysics Advanced Terrestrial Simulator (ATS) models. Simulation results are a list of calibrated hydrothermal parameters for moss, peat, and mineral soil hydrothermal parameters.

  3. Calibrated Hydrothermal Parameters, Barrow, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Atchley, Adam; Painter, Scott; Harp, Dylan; Coon, Ethan; Wilson, Cathy; Liljedahl, Anna; Romanovsky, Vladimir

    2015-01-29

    A model-observation-experiment process (ModEx) is used to generate three 1D models of characteristic micro-topographical land-formations, which are capable of simulating present active thaw layer (ALT) from current climate conditions. Each column was used in a coupled calibration to identify moss, peat and mineral soil hydrothermal properties to be used in up-scaled simulations. Observational soil temperature data from a tundra site located near Barrow, AK (Area C) is used to calibrate thermal properties of moss, peat, and sandy loam soil to be used in the multiphysics Advanced Terrestrial Simulator (ATS) models. Simulation results are a list of calibrated hydrothermal parameters for moss, peat, and mineral soil hydrothermal parameters.

  4. Hydraulic Conductivity Measurements Barrow 2014

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Katie McKnight; Tim Kneafsey; Craig Ulrich; Jil Geller

    2015-02-22

    Six individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, in May of 2013 as part of the Next Generation Ecosystem Experiment (NGEE). Each core was drilled from a different location at varying depths. A few days after drilling, the cores were stored in coolers packed with dry ice and flown to Lawrence Berkeley National Laboratory (LBNL) in Berkeley, CA. 3-dimensional images of the cores were constructed using a medical X-ray computed tomography (CT) scanner at 120kV. Hydraulic conductivity samples were extracted from these cores at LBNL Richmond Field Station in Richmond, CA, in February 2014 by cutting 5 to 8 inch segments using a chop saw. Samples were packed individually and stored at freezing temperatures to minimize any changes in structure or loss of ice content prior to analysis. Hydraulic conductivity was determined through falling head tests using a permeameter [ELE International, Model #: K-770B]. After approximately 12 hours of thaw, initial falling head tests were performed. Two to four measurements were collected on each sample and collection stopped when the applied head load exceeded 25% change from the original load. Analyses were performed between 2 to 3 times for each sample. The final hydraulic conductivity calculations were computed using methodology of Das et al., 1985.

  5. Hydraulic Conductivity Measurements Barrow 2014

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Katie McKnight; Tim Kneafsey; Craig Ulrich; Jil Geller

    Six individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, in May of 2013 as part of the Next Generation Ecosystem Experiment (NGEE). Each core was drilled from a different location at varying depths. A few days after drilling, the cores were stored in coolers packed with dry ice and flown to Lawrence Berkeley National Laboratory (LBNL) in Berkeley, CA. 3-dimensional images of the cores were constructed using a medical X-ray computed tomography (CT) scanner at 120kV. Hydraulic conductivity samples were extracted from these cores at LBNL Richmond Field Station in Richmond, CA, in February 2014 by cutting 5 to 8 inch segments using a chop saw. Samples were packed individually and stored at freezing temperatures to minimize any changes in structure or loss of ice content prior to analysis. Hydraulic conductivity was determined through falling head tests using a permeameter [ELE International, Model #: K-770B]. After approximately 12 hours of thaw, initial falling head tests were performed. Two to four measurements were collected on each sample and collection stopped when the applied head load exceeded 25% change from the original load. Analyses were performed between 2 to 3 times for each sample. The final hydraulic conductivity calculations were computed using methodology of Das et al., 1985.

  6. Barrow

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L O OLaura BeaneCardwell,Production -BariDepartment of

  7. USDA Forest Service Gen.Tech. Rep. PSW-GTR-187. 2003. 249 VI. The Association of Bay Area

    E-Print Network [OSTI]

    of leaders in the high-tech industry, in writing a report designed to address the problem of housingUSDA Forest Service Gen.Tech. Rep. PSW-GTR-187. 2003. 249 VI. The Association of Bay Area in the region. #12;USDA Forest Service Gen.Tech. Rep. PSW-GTR-187. 2003. SectionVI 250 THE ASSOCIATION OF BAY

  8. Soil Organic Carbon Degradation, Barrow, 2013-2014

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gu, Baohua; Yang, Ziming

    2015-03-30

    This dataset provides information about soil organic carbon decomposition in Barrow soil incubation studies. The soil cores were collected from low-center polygon (Area A) and were incubated in the laboratory at different temperatures for up to 60 days. Transformations of soil organic carbon were characterized by UV and FT-IR, and small organic acids in water-soluble carbons were quantified by ion chromatography during the incubation

  9. Soil Organic Carbon Degradation, Barrow, 2013-2014

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gu, Baohua; Yang, Ziming

    This dataset provides information about soil organic carbon decomposition in Barrow soil incubation studies. The soil cores were collected from low-center polygon (Area A) and were incubated in the laboratory at different temperatures for up to 60 days. Transformations of soil organic carbon were characterized by UV and FT-IR, and small organic acids in water-soluble carbons were quantified by ion chromatography during the incubation

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

    E-Print Network [OSTI]

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

    2011-03-30

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

  11. Evaluation of CALPUFF nitrogen deposition modeling in the Chesapeake Bay Watershed Area using NADP data

    SciTech Connect (OSTI)

    Garrison, M.; Mayes, P.; Sherwell, J.

    1998-12-31

    The CALMET/CALPUFF modeling system has been used to estimate nitrogen deposition in an area surrounding Baltimore and the northern portion of the Chesapeake Bay. Comprehensive NO{sub x} emissions inventories and meteorological data bases have been developed to conduct the modeling. This paper discusses the results of an evaluation of predicted nitrogen wet deposition rates compared to measured rates at two NADP/NTN sites in Maryland, Wye and White Rock. Underprediction of wet deposition rates is investigated through the use of sensitivity and diagnostic evaluations of model performance. A suggested change to the calculation of NO{sub x} transformation rates involving an alternative specification of minimum NO{sub x} concentrations was made to CALPUFF and the performance evaluation was re-done. Results of the new evaluation show significantly improved model performance, and therefore the modification is tentatively proposed for use in further applications of CALPUFF to the assessment of nitrogen deposition in the Chesapeake Bay watershed.

  12. Bay Area

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal GasAdministration Medal01 Sandia National 1 PAGE 1 OF2Guidance to the RevisedEISI 1

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

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2011-08-01

    This report documents the early implementation experience for the Zero Emission Bay Area (ZEBA) Demonstration, the largest fleet of fuel cell buses in the United States. The ZEBA Demonstration group includes five participating transit agencies: AC Transit (lead transit agency), Santa Clara Valley Transportation Authority (VTA), Golden Gate Transit (GGT), San Mateo County Transit District (SamTrans), and San Francisco Municipal Railway (Muni). The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service.

  14. Zero Emission Bay Area (ZEBA) Fuel Cell Bus Demonstration Results. Fourth Report

    SciTech Connect (OSTI)

    Eudy, Leslie; Post, Matthew

    2015-07-02

    This report presents results of a demonstration of fuel cell electric buses (FCEB) operating in Oakland, California. Alameda-Contra Costa Transit District (AC Transit) leads the Zero Emission Bay Area (ZEBA) demonstration, which includes 12 advanced-design fuel cell buses and two hydrogen fueling stations. The FCEBs in service at AC Transit are 40-foot, low-floor buses built by Van Hool with a hybrid electric propulsion system that includes a US Hybrid fuel cell power system and EnerDel lithium-based energy storage system. The buses began revenue service in May 2010.

  15. Top-down methane emissions estimates for the San Francisco Bay Area from 1990 to 2012

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

    Fairley, David; Fischer, Marc L.

    2015-01-30

    Methane is a potent greenhouse gas (GHG) that is now included in both California State and San Francisco Bay Area (SFBA) bottom-up emission inventories as part of California's effort to reduce anthropogenic GHG emissions. Here we provide a top-down estimate of methane (CH4) emissions from the SFBA by combining atmospheric measurements with the comparatively better estimated emission inventory for carbon monoxide (CO). Local enhancements of CH4 and CO are estimated using measurements from 14 air quality sites in the SFBA combined together with global background measurements. Mean annual CH4 emissions are estimated from the product of Bay Area Air Qualitymore »Management District (BAAQMD) emission inventory CO and the slope of ambient local CH4 to CO. The resulting top-down estimates of CH4 emissions are found to decrease slightly from 1990 to 2012, with a mean value of 240 ± 60 GgCH4 yr?ą (at 95% confidence) in the most recent (2009–2012) period, and correspond to reasonably a constant factor of 1.5–2.0 (at 95% confidence) times larger than the BAAQMD CH4 emission inventory. However, we note that uncertainty in these emission estimates is dominated by the variation in CH4:CO enhancement ratios across the observing sites and we expect the estimates could represent a lower-limit on CH4 emissions because BAAQMD monitoring sites focus on urban air quality and may be biased toward CO rather than CH4 sources.« less

  16. Plant community composition and vegetation height, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sloan, Victoria; Norby, Richard; Siegrist, Julia; Iversen, Colleen; Brooks, Jonathan; Liebig, Jennifer; Wood, Sarah

    2014-04-25

    This dataset contains i) the results of field surveys of plant community composition and vegetation height made between 17th and 29th July 2012 in 48, 1 x 1 m plots located in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska and ii) results of a mapping exercise undertaken in August 2013 using two perpendicular transects across each polygon containing vegetation plots to determine the boundaries of vegetation communities described in 2012.

  17. Plant community composition and vegetation height, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sloan, Victoria; Norby, Richard; Siegrist, Julia; Iversen, Colleen; Brooks, Jonathan; Liebig, Jennifer; Wood, Sarah

    This dataset contains i) the results of field surveys of plant community composition and vegetation height made between 17th and 29th July 2012 in 48, 1 x 1 m plots located in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska and ii) results of a mapping exercise undertaken in August 2013 using two perpendicular transects across each polygon containing vegetation plots to determine the boundaries of vegetation communities described in 2012.

  18. Testing for Toxic Algae By Tadd Barrow

    E-Print Network [OSTI]

    Nebraska-Lincoln, University of

    Testing for Toxic Algae By Tadd Barrow UNL Extension Educator, Water Quality Algae is a microscopic plant that occurs in all water. However, only certain conditions bring algae to the surface, making it toxic to animals, especially humans and dogs. Toxic algae often are naturally occurring from high

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

    SciTech Connect (OSTI)

    Eudy, L.; Chandler, K.

    2012-07-01

    This report presents results of a demonstration of 12 new fuel cell electric buses (FCEB) operating in Oakland, California. The 12 FCEBs operate as a part of the Zero Emission Bay Area (ZEBA) Demonstration, which also includes two new hydrogen fueling stations. This effort is the largest FCEB demonstration in the United States and involves five participating transit agencies. The ZEBA partners are collaborating with the U.S. Department of Energy (DOE) and DOE's National Renewable Energy Laboratory (NREL) to evaluate the buses in revenue service. The first results report was published in August 2011, describing operation of these new FCEBs from September 2010 through May 2011. New results in this report provide an update through April 2012.

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

    SciTech Connect (OSTI)

    Eudy, L.; Post, M.

    2014-05-01

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

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

    SciTech Connect (OSTI)

    WADE C. ADAMS

    2012-04-09

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

  2. Digital Elevation Model, 0.5-m, Barrow Environmental Observatory, Alaska, 2012

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gangodagamage, Chandana; Wilson, Cathy; Rowland, Joel

    The dataset is a digital elevation model, DEM, of a 2km by 7km region in the vicinity of the Barrow Environmental Observatory near Barrow, Ak.

  3. Digital Elevation Model, 0.5-m, Barrow Environmental Observatory, Alaska, 2012

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Wilson,Cathy; Rowland,Joel; Gangodagamage,Chandana

    2013-12-08

    The dataset is a digital elevation model, DEM, of a 2km by 7km region in the vicinity of the Barrow Environmental Observatory near Barrow, Ak.

  4. Active Layer Soil Carbon and Nutrient Mineralization, Barrow, Alaska, 2012

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Stan D. Wullschleger; Holly M. Vander Stel; Colleen Iversen; Victoria L. Sloan; Richard J. Norby; Mallory P. Ladd; Jason K. Keller; Ariane Jong; Joanne Childs; Deanne J. Brice

    2015-10-29

    This data set consists of bulk soil characteristics as well as carbon and nutrient mineralization rates of active layer soils manually collected from the field in August, 2012, frozen, and then thawed and incubated across a range of temperatures in the laboratory for 28 day periods in 2013-2015. The soils were collected from four replicate polygons in each of the four Areas (A, B, C, and D) of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Soil samples were coincident with the established Vegetation Plots that are located in center, edge, and trough microtopography in each polygon. Data included are 1) bulk soil characteristics including carbon, nitrogen, gravimetric water content, bulk density, and pH in 5-cm depth increments and also by soil horizon, 2) carbon, nitrogen, and phosphorus mineralization rates for soil horizons incubated aerobically (and in one case both aerobically and anaerobically) for 28 days at temperatures that included 2, 4, 8, and 12 degrees C. Additional soil and incubation data are forthcoming. They will be available when published as part of another paper that includes additional replicate analyses.

  5. Abi Barrow, PhD Founding Director of the Massachusetts Technology Transfer Center

    E-Print Network [OSTI]

    Vajda, Sandor

    Abi Barrow, PhD Founding Director of the Massachusetts Technology Transfer Center Dr. Abigail Barrow is the Founding Director of the Massachusetts Technology Transfer Center (MTTC). She and accelerates technology transfer between all universities, hospitals and research institutions

  6. CT Scans of Cores Metadata, Barrow, Alaska 2015

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Katie McKnight; Tim Kneafsey; Craig Ulrich

    2015-03-11

    Individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, throughout 2013 and 2014. Cores were drilled along different transects to sample polygonal features (i.e. the trough, center and rim of high, transitional and low center polygons). Most cores were drilled around 1 meter in depth and a few deep cores were drilled around 3 meters in depth. Three-dimensional images of the frozen cores were constructed using a medical X-ray computed tomography (CT) scanner. TIFF files can be uploaded to ImageJ (an open-source imaging software) to examine soil structure and densities within each core.

  7. CT Scans of Cores Metadata, Barrow, Alaska 2015

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Katie McKnight; Tim Kneafsey; Craig Ulrich

    Individual ice cores were collected from Barrow Environmental Observatory in Barrow, Alaska, throughout 2013 and 2014. Cores were drilled along different transects to sample polygonal features (i.e. the trough, center and rim of high, transitional and low center polygons). Most cores were drilled around 1 meter in depth and a few deep cores were drilled around 3 meters in depth. Three-dimensional images of the frozen cores were constructed using a medical X-ray computed tomography (CT) scanner. TIFF files can be uploaded to ImageJ (an open-source imaging software) to examine soil structure and densities within each core.

  8. Soil temperature, soil moisture and thaw depth, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sloan, V.L.; J.A. Liebig; M.S. Hahn; J.B. Curtis; J.D. Brooks; A. Rogers; C.M. Iversen; R.J. Norby

    2014-01-10

    This dataset consists of field measurements of soil properties made during 2012 and 2013 in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Included are i) weekly measurements of thaw depth, soil moisture, presence and depth of standing water, and soil temperature made during the 2012 and 2013 growing seasons (June - September) and ii) half-hourly measurements of soil temperature logged continuously during the period June 2012 to September 2013.

  9. Soil temperature, soil moisture and thaw depth, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sloan, V.L.; J.A. Liebig; M.S. Hahn; J.B. Curtis; J.D. Brooks; A. Rogers; C.M. Iversen; R.J. Norby

    This dataset consists of field measurements of soil properties made during 2012 and 2013 in areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Included are i) weekly measurements of thaw depth, soil moisture, presence and depth of standing water, and soil temperature made during the 2012 and 2013 growing seasons (June - September) and ii) half-hourly measurements of soil temperature logged continuously during the period June 2012 to September 2013.

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

    E-Print Network [OSTI]

    Maddox, Donald Shea

    2007-04-25

    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 ...

  11. Establishment of the United States Navy Mine Warfare Center of Excellence in the Corpus Christi Bay Area, Texas

    SciTech Connect (OSTI)

    Kosclski, J.L.; Boyer, R. [Turner Collie and Braden, Inc., Houston, TX (United States); Sloger, W. [Naval Facilities Engineering Command, North Charleston, SC (United States). Southern Div.

    1997-08-01

    The proposed establishment of the US Navy Mine Warfare Center of Excellence (MWCE) in the Corpus Christi Bay Area, Texas, involved the collocation of the Navy`s Mine Warfare and Mine Counter Measures assets in proximity to each other at Naval Station (NAVSTA) Ingleside and Naval Air Station (NAS) Corpus Christi, Texas. Collocation of these Navy forces would provide significant advantages in meeting mission and operational requirements. This action would improve the operational training and readiness of the forces. In addition to new construction or modifications at NAVSTA Ingleside, NAS Corpus Christi, and off-base; the establishment of offshore training and operating areas was required. When the project was first proposed in 1993, considerable concern was expressed by environmental interests, shrimpers, and state and federal resource agencies regarding the impact of the proposed training activities within Gulf waters. The Navy and Turner Collie and Braden, Inc., under contract to the Navy, conducted several technical studies and extensive coordination with concerned interests during the environmental impact statement process to identify and document the potential intensity, magnitude, and duration of impact from each proposed training activity.

  12. Political Ecology and Coastal Conservation: A Case Study of Menai Bay Conservation Area, Tanzania

    E-Print Network [OSTI]

    Shinn, Jamie Elizabeth

    2010-06-04

    , Tanzania. This study combines fieldwork and a literature review to conclude that while the conservation area recognizes the importance of authentic community empowerment, it has yet to achieve that goal, thereby compromising the overall success...

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

    E-Print Network [OSTI]

    Bassi, David Edward

    1973-01-01

    or workboats. The bucket may be either s clamshell, orangepeel or dragline type. Spoil disposal is usually accomplished by dumping the spoil into a hopper barge along- side to be carried away or pumped out to some disposal area. These dredges...

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

    E-Print Network [OSTI]

    Park, Junesoo

    1995-01-01

    , mussel, snail, crab, fish, shrimp, and spartina) in the area. Sediments and organisms were analyzed for total Ag, Al, As, Cd, Cu, Fe, Hg, Mn, Ni, Pb, Se, Sn, and Zn. Water samples were analyzed for Cd, Cu, Fe, Mn, and Sn. The variabilities and geographic...

  15. Barrow Black Carbon Source and Impact Study Final Campaign Report

    SciTech Connect (OSTI)

    Barrett, Tate

    2014-07-01

    The goal of the Barrow Black Carbon Source and Impact campaign was to characterize the concentration and isotopic composition of carbonaceous atmospheric particulate matter (PM) at the Atmospheric Radiation Measurement (ARM) Climate Research Facility site in Barrow, Alaska. The carbonaceous component was characterized by measuring the organic and black carbon (OC and BC) components of the total PM. To facilitate complete characterization of the PM, filter-based collections were used, including a medium volume PM2.5 sampler and a high volume PM10 sampler. Thirty-eight fine PM fractions (PM2.5) and 49 coarse (PM10) PM fractions were collected at weekly and bi-monthly intervals. The PM2.5 sampler operated with minimal maintenance during the 12 month campaign. The PM10 sampler used for the Barrow Black Carbon Source and Impact (BBCSI) study used standard Tisch “hi-vol” motors that have a known lifetime of approximately 1 month under constant use; this necessitated monthly maintenance, and it is suggested that, for future deployment in the Arctic, the motors be upgraded to industrial blowers. The BBCSI sampling campaign successfully collected and archived 87 ambient atmospheric PM samples from Barrow, Alaska, from July 2012 to June 2013. Preliminary analysis of the OC and BC concentrations has been completed. This campaign confirmed known trends of high BC lasting from the winter through to spring haze periods and low BC concentrations in the summer. However, the annual OC concentrations had a very different seasonal pattern with the highest concentrations during the summer, lowest concentrations during the fall, and increased concentrations during the winter and spring (Figure 1).

  16. Barrow Black Carbon Source and Impact Study Final Campaign Report

    SciTech Connect (OSTI)

    Barrett, Tate

    2014-07-01

    The goal of the Barrow Black Carbon Source and Impact (BBCSI) Study was to characterize the concentration and isotopic composition of carbonaceous atmospheric particulate matter (PM) at the Atmospheric Radiation Measurement site in Barrow, AK. The carbonaceous component was characterized via measurement of the organic and black carbon (OC and BC) components of the total PM. To facilitate complete characterization of the particulate matter, filter-based collections were used, including a medium volume PM2.5 sampler and a high volume PM10 sampler. Thirty-eight fine (PM2.5) and 49 coarse (PM10) particulate matter fractions were collected at weekly and bi-monthly intervals. The PM2.5 sampler operated with minimal maintenance during the 12 month campaign. The PM10 sampler used for the BBCSI used standard Tisch hi-vol motors which have a known lifetime of ~1 month under constant use; this necessitated monthly maintenance and it is suggested that the motors be upgraded to industrial blowers for future deployment in the Arctic. The BBCSI sampling campaign successfully collected and archived 87 ambient atmospheric particulate matter samples from Barrow, AK from July 2012 to June 2013. Preliminary analysis of the organic and black carbon concentrations has been completed. This campaign confirmed known trends of high BC lasting from the winter through to spring haze periods and low BC concentrations in the summer.

  17. Plant Available Nutrients, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sloan, Victoria; Liebig, Jenny; Curtis, Bryan; Hahn, Melanie; Iversen, Colleen; Siegrist, Julie

    This dataset consists of measurements of plant available nutrients made using Plant Root Simulator probes (Western Ag Innovations Inc.) during 2012 and 2013. In 2012, Ca, Mg, K, P, Fe, Mn, Cu, Zn, B, S, Pb, Al, Cd, NO3-N and NH4-N were measured during spring, summer and winter in the centers, edges and troughs of four polygons in each of four areas of contrasting moisture regime and polygon type. In 2013, probes were installed in centers, edges and troughs of four polygons in each of two areas (high-centered and low-centered polygons) at two-week intervals and at 3 soil depths to capture fine-scale season dynamics of NO3-N and NH4-N. PRS probes are ion exchange resin membranes held in plastic supports that are inserted into soil to measure ion supply in situ. The anion and cation exchange with the membrane is intended to mimic plant uptake and thus provide a relevant measure of soil nutrient bioavailability. Measurements are made per area of probe membrane and cannot be converted to concentrations or related to soil volume.

  18. Plant Available Nutrients, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Sloan, Victoria; Liebig, Jenny; Curtis, Bryan; Hahn, Melanie; Iversen, Colleen; Siegrist, Julie

    2014-02-19

    This dataset consists of measurements of plant available nutrients made using Plant Root Simulator probes (Western Ag Innovations Inc.) during 2012 and 2013. In 2012, Ca, Mg, K, P, Fe, Mn, Cu, Zn, B, S, Pb, Al, Cd, NO3-N and NH4-N were measured during spring, summer and winter in the centers, edges and troughs of four polygons in each of four areas of contrasting moisture regime and polygon type. In 2013, probes were installed in centers, edges and troughs of four polygons in each of two areas (high-centered and low-centered polygons) at two-week intervals and at 3 soil depths to capture fine-scale season dynamics of NO3-N and NH4-N. PRS probes are ion exchange resin membranes held in plastic supports that are inserted into soil to measure ion supply in situ. The anion and cation exchange with the membrane is intended to mimic plant uptake and thus provide a relevant measure of soil nutrient bioavailability. Measurements are made per area of probe membrane and cannot be converted to concentrations or related to soil volume.

  19. Bay Area Industrial Partners

    Broader source: Energy.gov [DOE]

    Michael Bauer, President, Chief Product Officer and Founder, Sentient Energy; Lloyd Hackel, Vice President for Advanced Technologies, Metal Improvement Corporation; and Charlie Hotz, Vice President of Research and Development, Nanosys, Inc. each presented on partnership with the National Labs.

  20. ARM - Evaluation Product - Barrow Radiation Data (2009 metric)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Comments? WeDatastreamstps DocumentationAtlanticENA Contacts ENA Related Links(AVIRIS)ProductsBarrow Radiation

  1. Barrow County, Georgia: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminex AAustriaBiofuelsOpenBardonia,Kentucky:BarronBarrow County,

  2. CO2 CH4 flux Air temperature Soil temperature and Soil moisture, Barrow, Alaska 2013 ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Margaret Torn

    2015-01-14

    This dataset consists of field measurements of CO2 and CH4 flux, as well as soil properties made during 2013 in Areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Included are i) measurements of CO2 and CH4 flux made from June to September (ii) Calculation of corresponding Gross Primary Productivity (GPP) and CH4 exchange (transparent minus opaque) between atmosphere and the ecosystem (ii) Measurements of Los Gatos Research (LGR) chamber air temperature made from June to September (ii) measurements of surface layer depth, type of surface layer, soil temperature and soil moisture from June to September.

  3. CO2 CH4 flux Air temperature Soil temperature and Soil moisture, Barrow, Alaska 2013 ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Margaret Torn

    This dataset consists of field measurements of CO2 and CH4 flux, as well as soil properties made during 2013 in Areas A-D of Intensive Site 1 at the Next-Generation Ecosystem Experiments (NGEE) Arctic site near Barrow, Alaska. Included are i) measurements of CO2 and CH4 flux made from June to September (ii) Calculation of corresponding Gross Primary Productivity (GPP) and CH4 exchange (transparent minus opaque) between atmosphere and the ecosystem (ii) Measurements of Los Gatos Research (LGR) chamber air temperature made from June to September (ii) measurements of surface layer depth, type of surface layer, soil temperature and soil moisture from June to September.

  4. A 10 Year Climatology of Arctic Cloud Fraction and Radiative Forcing at Barrow, Alaska

    SciTech Connect (OSTI)

    Dong, Xiquan; Xi, Baike; Crosby, Kathryn; Long, Charles N.; Stone, R. S.; Shupe, Matthew D.

    2010-09-15

    A 10-yr record of Arctic cloud fraction and surface radiation budget has been generated using data collected from June 1998 to May 2008 at the Atmospheric Radiation Measurement (ARM) North Slope of Alaska (NSA) site and the nearby NOAA Barrow Observatory (BRW). The record includes the seasonal variations of cloud fraction (CF), cloud liquid water path (LWP), precipitable water vapor (PWV), surface albedo, shortwave (SW) and longwave (LW) fluxes and cloud radative forcings (CRFs), as well as their decadal variations. Values of CF derived from different instruments and methods agree well, having an annual average of ~0.74. Cloudiness increases from March to May, remains high (~0.8-0.9) from May to October, and then decreases over winter. More clouds and higher LWP and PWV occurred during the warm season (May-October) than the cold season (November-April). These results are strongly associated with southerly flow which transports warm, moist air masses to Barrow from the North Pacific and over area of Alaska already free of snow during the warm season and with a dipole pattern of pressure in which a high is centered over the Beaufort Sea and low over the Aleutians during the cold season. The monthly means of estimated clear-sky and measured allsky SW-down and LW-down fluxes at the two facilities are almost identical with the annual mean differences less than 1.6 W m-2. The downwelling and upwelling LW fluxes remain almost constant from January to March, then increase from March and peak during July-August. SW-down fluxes are primarily determined by seasonal changes in the intensity and duration of insolation over Northern Alaska, and are also strongly dependent on cloud fraction and optical depth, and surface albedo. The monthly variations of NET CRF generally follow the cycle of SW CRF, modulated by LW effects. On annual average, the negative SW CRF and positive LW CRF tend to cancel, resulting in annual average NET CRF of 2-4.5 Wm-2. Arctic clouds have a 3 net warming effect on the surface throughout the year, with exception of the snow-free period from middle June to middle September when there tends to be a cooling effect. The daily average surface albedos agree well at the two sites remaining high (>0.8) until late May, dropping below 0.2 after the snow melts around June and increasing during autumn once snow begins to accumulate. On the basis of long-term regression analyses CF has decreased by about 0.048 while temperature has risen by ?1.1 K over the 10-yr period, which can be characterized by tendencies of warming mainly during December and April. With regard to the 2007 record minimum Arctic ice extent, this study provides additional empirical evidence that decreased cloud cover and increased SW-down flux during summer contributed to anomalous ice melt in the region north of Barrow. At Barrow, average June-August CF decreased by 0.062 in 2007 from the 10-yr mean, while SW-down and NET fluxes increased by 28.4 Wm-2 and 11.3 Wm-2, respectively. The increase in the NET radiative flux during summer 2007 most likely contributed to an increase in surface air temperature of 1.6 K.

  5. EA-1924: Consolidation and Relocation of Lawrence Berkeley National Laboratory (LBNL) OffSite Research Programs to a New Off-Site Location that also Allows for Future Growth, San Francisco East Bay Area, California

    Broader source: Energy.gov [DOE]

    This EA will evaluate the potential environmental impacts of a proposal to consolidate and relocate LBNL research programs that are currently in leased off-site buildings at various locations around the San Francisco East Bay Area in California, to a new single location that also provides room for future growth of LBNL research programs.

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

    E-Print Network [OSTI]

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

    2010-01-01

    Area and the educational resources in the neighborhoodof the density of educational resources, both current andresources located in neighborhoods throughout the state. These public schools are public infrastructure: they are educational

  7. CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Tweedie,Craig; Lara, Mark

    2014-09-17

    Carbon flux data are reported as Net Ecosystem Exchange (NEE), Gross Ecosystem Exchange (GEE), Ecosystem Respiration (ER), and Methane (CH4) flux. Measurements were made at 82 plots across various polygon geomorphic classes at research sites on the Barrow Environmental Observatory (BEO), the Biocomplexity Experiment site on the BEO, and the International Biological Program (IBP) site a little west of the BEO. This product is a compilation of data from 27 plots as presented in Lara et al. (2012), data from six plots presented in Olivas et al. (2010); and from 49 plots described in (Lara et al. 2014). Measurements were made during the peak of the growing seasons during 2006 to 2010. At each of the measurement plots (except Olivas et al., 2010) four different thicknesses of shade cloth were used to generate CO2 light response curves. Light response curves were used to normalize photosynthetically active radiation that is diurnally variable to a peak growing season average ~400 umolm-2sec-1. At the Olivas et al. (2010) plots, diurnal patterns were characterized by repeated sampling. CO2 measurements were made using a closed-chamber photosynthesis system and CH4 measurements were made using a photo-acoustic multi-gas analyzer. In addition, plot-level measurements for thaw depth (TD), water table depth (WTD), leaf area index (LAI), and normalized difference vegetation index (NDVI) are summarized by geomorphic polygon type.

  8. CO2 and CH4 Fluxes across Polygon Geomorphic Types, Barrow, Alaska, 2006-2010

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Tweedie,Craig; Lara, Mark

    Carbon flux data are reported as Net Ecosystem Exchange (NEE), Gross Ecosystem Exchange (GEE), Ecosystem Respiration (ER), and Methane (CH4) flux. Measurements were made at 82 plots across various polygon geomorphic classes at research sites on the Barrow Environmental Observatory (BEO), the Biocomplexity Experiment site on the BEO, and the International Biological Program (IBP) site a little west of the BEO. This product is a compilation of data from 27 plots as presented in Lara et al. (2012), data from six plots presented in Olivas et al. (2010); and from 49 plots described in (Lara et al. 2014). Measurements were made during the peak of the growing seasons during 2006 to 2010. At each of the measurement plots (except Olivas et al., 2010) four different thicknesses of shade cloth were used to generate CO2 light response curves. Light response curves were used to normalize photosynthetically active radiation that is diurnally variable to a peak growing season average ~400 umolm-2sec-1. At the Olivas et al. (2010) plots, diurnal patterns were characterized by repeated sampling. CO2 measurements were made using a closed-chamber photosynthesis system and CH4 measurements were made using a photo-acoustic multi-gas analyzer. In addition, plot-level measurements for thaw depth (TD), water table depth (WTD), leaf area index (LAI), and normalized difference vegetation index (NDVI) are summarized by geomorphic polygon type.

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

    SciTech Connect (OSTI)

    Robert Hunter; Shirish Patil; Robert Casavant; Tim Collett

    2003-06-02

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

  10. Soil Physicochemical Characteristics from Ice Wedge Polygons, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chowdhury, Taniya

    2014-03-24

    This dataset provides details about soil cores (active layer and permafrost) collected from ice-wedge polygons during field expeditions to Barrow Environmental Observatory, Alaska in April, 2012 and 2013. Core information available are exact core locations; soil horizon descriptions and characteristics; and fundamental soil physico-chemical properties.

  11. Soil Physicochemical Characteristics from Ice Wedge Polygons, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chowdhury, Taniya; Graham, David

    2013-12-08

    This dataset provides details about soil cores (active layer and permafrost) collected from ice-wedge polygons during field expeditions to Barrow Environmental Observatory, Alaska in April, 2012 and 2013. Core information available are exact core locations; soil horizon descriptions and characteristics; and fundamental soil physico-chemical properties.

  12. Facultative Sex Allocation and Sex-Specific Offspring Survival in Barrow's Goldeneyes

    E-Print Network [OSTI]

    Facultative Sex Allocation and Sex-Specific Offspring Survival in Barrow's Goldeneyes Kim Jaatinen Final acceptance: November 22, 2012 (J. Wright) doi: 10.1111/eth.12048 Abstract Sex allocation theory predicts that females should bias their reproductive investment towards the sex generating the greatest

  13. Soil Physicochemical Characteristics from Ice Wedge Polygons, Barrow, Alaska, Ver. 1

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Chowdhury, Taniya

    This dataset provides details about soil cores (active layer and permafrost) collected from ice-wedge polygons during field expeditions to Barrow Environmental Observatory, Alaska in April, 2012 and 2013. Core information available are exact core locations; soil horizon descriptions and characteristics; and fundamental soil physico-chemical properties.

  14. Bay Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources Jump to:

  15. Geochemical and isotopic results for groundwater, drainage waters, snowmelt, permafrost, precipitation in Barrow, Alaska (USA) 2012-2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Wilson, Cathy; Newman, Brent; Heikoop, Jeff

    2012-07-18

    Data include a large suite of analytes (geochemical and isotopic) for samples collected in Barrow, Alaska (2012-2013). Sample types are indicated, and include soil pore waters, drainage waters, snowmelt, precipitation, and permafrost samples.

  16. Geochemical and isotopic results for groundwater, drainage waters, snowmelt, permafrost, precipitation in Barrow, Alaska (USA) 2012-2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Wilson, Cathy; Newman, Brent; Heikoop, Jeff

    Data include a large suite of analytes (geochemical and isotopic) for samples collected in Barrow, Alaska (2012-2013). Sample types are indicated, and include soil pore waters, drainage waters, snowmelt, precipitation, and permafrost samples.

  17. Empirical Bayes Linear Models

    E-Print Network [OSTI]

    Penny, Will

    Empirical Bayes Will Penny Linear Models fMRI analysis Gradient Ascent Online learning Delta Rule Maximum Likelihood Augmented Form ReML Objective Function References Empirical Bayes Will Penny 3rd March 2011 #12;Empirical Bayes Will Penny Linear Models fMRI analysis Gradient Ascent Online learning Delta

  18. San Diego Bay Bibliography

    E-Print Network [OSTI]

    Brueggeman, Peter

    1994-01-01

    A in: Final EIR, Proposed Shipyard Expansion Project forfrom Southwest Marine Shipyard #4 in San Diego Bay. Toxscan,Florida. Final EIR, Proposed Shipyard Expansion Project for

  19. Response of plasma and salivary cortisol to the administration of single or multiple injections of ACTH in barrows 

    E-Print Network [OSTI]

    Bushong, Diana M

    1996-01-01

    Two experiments were designed to determine if salivary cortisol can be used instead of total plasma cortisol measurements in pigs. In Exp. I., seven barrows averaging I I wk and 25 kg were assigned to the following treatments: (1) 2.25 fU/kg BW...

  20. Drilling and Production Testing the Methane Hydrate Resource Potential Associated with the Barrow Gas Fields

    SciTech Connect (OSTI)

    Steve McRae; Thomas Walsh; Michael Dunn; Michael Cook

    2010-02-22

    In November of 2008, the Department of Energy (DOE) and the North Slope Borough (NSB) committed funding to develop a drilling plan to test the presence of hydrates in the producing formation of at least one of the Barrow Gas Fields, and to develop a production surveillance plan to monitor the behavior of hydrates as dissociation occurs. This drilling and surveillance plan was supported by earlier studies in Phase 1 of the project, including hydrate stability zone modeling, material balance modeling, and full-field history-matched reservoir simulation, all of which support the presence of methane hydrate in association with the Barrow Gas Fields. This Phase 2 of the project, conducted over the past twelve months focused on selecting an optimal location for a hydrate test well; design of a logistics, drilling, completion and testing plan; and estimating costs for the activities. As originally proposed, the project was anticipated to benefit from industry activity in northwest Alaska, with opportunities to share equipment, personnel, services and mobilization and demobilization costs with one of the then-active exploration operators. The activity level dropped off, and this benefit evaporated, although plans for drilling of development wells in the BGF's matured, offering significant synergies and cost savings over a remote stand-alone drilling project. An optimal well location was chosen at the East Barrow No.18 well pad, and a vertical pilot/monitoring well and horizontal production test/surveillance well were engineered for drilling from this location. Both wells were designed with Distributed Temperature Survey (DTS) apparatus for monitoring of the hydrate-free gas interface. Once project scope was developed, a procurement process was implemented to engage the necessary service and equipment providers, and finalize project cost estimates. Based on cost proposals from vendors, total project estimated cost is $17.88 million dollars, inclusive of design work, permitting, barging, ice road/pad construction, drilling, completion, tie-in, long-term production testing and surveillance, data analysis and technology transfer. The PRA project team and North Slope have recommended moving forward to the execution phase of this project.

  1. Digital Elevation Model, 0.25 m, Barrow Environmental Observatory, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Cathy Wilson; Garrett Altmann

    2015-11-20

    This 0.25m horizontal resolution digital elevation model, DEM, was developed from Airborne Laser Altimetry flown by Aerometric Inc, now known as Quantum Spatial, Inc. on 12 July, 2013. One Mission was flown and the data jointly processed with LANL personnel to produce a 0.25m DEM covering a region approximately 2.8km wide and 12.4km long extending from the coast above North Salt Lagoon to south of Gas Well Road. This DEM encompasses a diverse range of hydrologic, geomorphic, geophysical and biological features typical of the Barrow Peninsula. Vertical accuracy at the 95% confidence interval was computed as 0.143m. The coordinate system, datum, and geoid for this DEM are UTM Zone 4N, NAD83 (2011), NAVD88 (GEOID09).

  2. Eddy-Covariance and auxiliary measurements, NGEE-Barrow, 2012-2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Torn, Margaret; Billesbach, Dave; Raz-Yaseef, Naama

    2014-03-24

    The EC tower is operated as part of the Next Generation Ecosystem Experiment-Arctic (NGEE) at Barrow, Alaska. The tower is collecting flux data from the beginning of the thaw season, early June, and until conditions are completely frozen, early November. The tower is equipped with a Gill R3-50 Sonic Anemometer, LI-7700 (CH4) sensor, a LI-7500A (CO2/H2O) sensor, and radiation sensors (Kipp and Zonen CNR-4 (four component radiometer), two LiCor LI-190 quantum sensors (PAR upwelling and downwelling), and a down-looking Apogee SI-111 infrared radiometer (surface temperature)). The sensors are remotely controlled, and communication with the tower allows us to retrieve information in real time.

  3. Eddy-Covariance and auxiliary measurements, NGEE-Barrow, 2012-2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Torn, Margaret; Billesbach, Dave; Raz-Yaseef, Naama

    The EC tower is operated as part of the Next Generation Ecosystem Experiment-Arctic (NGEE) at Barrow, Alaska. The tower is collecting flux data from the beginning of the thaw season, early June, and until conditions are completely frozen, early November. The tower is equipped with a Gill R3-50 Sonic Anemometer, LI-7700 (CH4) sensor, a LI-7500A (CO2/H2O) sensor, and radiation sensors (Kipp and Zonen CNR-4 (four component radiometer), two LiCor LI-190 quantum sensors (PAR upwelling and downwelling), and a down-looking Apogee SI-111 infrared radiometer (surface temperature)). The sensors are remotely controlled, and communication with the tower allows us to retrieve information in real time.

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

    SciTech Connect (OSTI)

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

    2012-06-01

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

  5. Bayesian Model Bayes rule for

    E-Print Network [OSTI]

    Penny, Will

    Bayesian Model Comparison Will Penny Bayes rule for models Bayes factors Nonlinear Models Model Comparison Will Penny June 2nd 2011 #12;Bayesian Model Comparison Will Penny Bayes rule for models and the denominator is given by p(y) = m p(y|m )p(m ) #12;Bayesian Model Comparison Will Penny Bayes rule for models

  6. Manganese Oxidation In A Natural Marine Environment- San Antonio Bay 

    E-Print Network [OSTI]

    Neyin, Rosemary Ogheneochuko

    2013-04-12

    the San Antonio Bay. In this study area, the formaldoxime assay was utilized to determine that manganese oxidation is catalyzed via multiple pathways utilizing various catalysts and proximal oxidants. The contribution of catalysts such as colloidal matter...

  7. San Diego Bay Bibliography

    E-Print Network [OSTI]

    Brueggeman, Peter

    1994-01-01

    South Bay Power Plant, San Diego, California. Woodward-Station B Power Plant in San Diego, California, operated byPower Plant Receiving Water Monitoring Program. Prepared for the California

  8. Elliott Bay Scholarship 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    A SIMULATION MODEL OF BROWN SHRIMP (Penaeus aztecus Ives) GROWTH, MOVEMENT, AND SURVIVAL IN GALVESTON BAY, TEXAS A Thesis by LEROY CONRAD GEORGE Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE December 1981 Major Subject: Wildlife and Fisheries Sciences A SINOIAFION NODHD OF BROHH SHRINP IP* I* I ) GROWTH, MOVEMENT, AND SURVIVAL IN GALVESTON BAY, TEXAS A Thesis by LEROY CONRAD GEORGE...

  9. Module bay with directed flow

    SciTech Connect (OSTI)

    Torczynski, John R. (Albuquerque, NM)

    2001-02-27

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

  10. Bay Area | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nucleara min [TypeCommittee on theiBasicOn|

  11. Inorganic Carbon Isotopes and Chemical Characterization of Watershed Drainages, Barrow, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Throckmorton, Heather M.; Heikoop, Jeffrey H.; Newman, Brent D.; Wilson, Cathy J.

    Arctic soils contain a large pool of terrestrial C and are of interest due to their potential for releasing significant carbon dioxide (CO2) and methane (CH4) to the atmosphere. Due to substantial landscape heterogeneity, predicting ecosystem-scale CH4 and CO2 production is challenging. This study assessed dissolved inorganic carbon (DIC = Sigma (total) dissolved CO2) and CH4 in watershed drainages in Barrow, Alaska as critical convergent zones of regional geochemistry, substrates, and nutrients. In July and September of 2013, surface waters and saturated subsurface pore waters were collected from 17 drainages. Based on simultaneous DIC and CH4 cycling, we synthesized isotopic and geochemical methods to develop a subsurface CH4 and DIC balance by estimating mechanisms of CH4 and DIC production and transport pathways and oxidation of subsurface CH4. We observed a shift from acetoclastic (July) towards hydrogenotropic (September) methanogenesis at sites located towards the end of major freshwater drainages, adjacent to salty estuarine waters, suggesting an interesting landscape-scale effect on CH4 production mechanism. The majority of subsurface CH4 was transported upward by plant-mediated transport and ebullition, predominantly bypassing the potential for CH4 oxidation. Thus, surprisingly CH4 oxidation only consumed approximately 2.51 +/- 0.82% (July) and 0.79 +/- 0.79% (September) of CH4 produced at the frost table, contributing to less than 0.1% of DIC production. DIC was primarily produced from respiration, with iron and organic matter serving as likely e- acceptors. This work highlights the importance of spatial and temporal variability of CH4 production at the watershed scale, and suggests broad scale investigations are required to build better regional or pan-Arctic representations of CH4 and CO2 production.

  12. Inorganic Carbon Isotopes and Chemical Characterization of Watershed Drainages, Barrow, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Heikoop, Jeffrey H.; Throckmorton, Heather M.; Wilson, Cathy J.; Newman, Brent D.

    2015-09-25

    Arctic soils contain a large pool of terrestrial C and are of interest due to their potential for releasing significant carbon dioxide (CO2) and methane (CH4) to the atmosphere. Due to substantial landscape heterogeneity, predicting ecosystem-scale CH4 and CO2 production is challenging. This study assessed dissolved inorganic carbon (DIC = Sigma (total) dissolved CO2) and CH4 in watershed drainages in Barrow, Alaska as critical convergent zones of regional geochemistry, substrates, and nutrients. In July and September of 2013, surface waters and saturated subsurface pore waters were collected from 17 drainages. Based on simultaneous DIC and CH4 cycling, we synthesized isotopic and geochemical methods to develop a subsurface CH4 and DIC balance by estimating mechanisms of CH4 and DIC production and transport pathways and oxidation of subsurface CH4. We observed a shift from acetoclastic (July) towards hydrogenotropic (September) methanogenesis at sites located towards the end of major freshwater drainages, adjacent to salty estuarine waters, suggesting an interesting landscape-scale effect on CH4 production mechanism. The majority of subsurface CH4 was transported upward by plant-mediated transport and ebullition, predominantly bypassing the potential for CH4 oxidation. Thus, surprisingly CH4 oxidation only consumed approximately 2.51 +/- 0.82% (July) and 0.79 +/- 0.79% (September) of CH4 produced at the frost table, contributing to less than 0.1% of DIC production. DIC was primarily produced from respiration, with iron and organic matter serving as likely e- acceptors. This work highlights the importance of spatial and temporal variability of CH4 production at the watershed scale, and suggests broad scale investigations are required to build better regional or pan-Arctic representations of CH4 and CO2 production.

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

    E-Print Network [OSTI]

    Furnans, Jordan

    2004-01-01

    , although likely affected by tides, is from Oso Bay into Corpus Christi Bay. This is because of the power plant located inbetween Oso Bay and Laguna Madre. This plant withdraws cooling water from Laguna Madre in discharges it into Oso Bay. This water... leading to the hypoxia. In order to develop such a model, much environmental and spatial data needed to be collected. This data includes information on regional wind patterns, tidal data, river inflow data, and weather data. It also was necessary...

  14. Empirical Bayes Linear Models

    E-Print Network [OSTI]

    Penny, Will

    , Sw ) S-1 w = XT C-1 y X + C-1 w mw = Sw (XT C-1 y y + C-1 w µw ) #12;Empirical Bayes Will Penny | |Sw | where is a vector of hyperparameters that parameterise the covariances Cw and Cy

  15. Water Levels, Barrow, Alaska, NGEE Areas A, B, C and D for 2012, 2013, 2014, Final Version, 20150324

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Anna Liljedahl; Cathy Wilson

    2015-06-08

    Ice wedge polygonal tundra water levels were measured at a total of 45 locations representing polygon centers and troughs during three summers. Early season water levels, which were still affected by ice and snow, are represented by manual measurements only. Continuous (less than hourly) measurements followed through early fall (around mid-Sep). The data set contains inundation depth (cm), absolute water level and local ground surface elevation (masl).

  16. Water Levels, Barrow, Alaska, NGEE Areas A, B, C and D for 2012, 2013, 2014, Final Version, 20150324

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Anna Liljedahl; Cathy Wilson

    Ice wedge polygonal tundra water levels were measured at a total of 45 locations representing polygon centers and troughs during three summers. Early season water levels, which were still affected by ice and snow, are represented by manual measurements only. Continuous (less than hourly) measurements followed through early fall (around mid-Sep). The data set contains inundation depth (cm), absolute water level and local ground surface elevation (masl).

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

    E-Print Network [OSTI]

    to determine the spawning cycle. The spawning cycle was well synchronized among the four populations at this potential. Recently (1982), the digging of clams in San Fran- cisco Bay received official clearance harvesting. Prepared for the Association of Bay Area Governments, 171 p. ·Champion. D. 1982. Clam digging OK

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

    E-Print Network [OSTI]

    Frank, Donell Suzette

    1999-01-01

    the Houston Ship Channel, including control areas outside the bay. PCB 126 was highest in eggs of geotropic cormorants from Vingt-et-un and Smith Point Islands within Galveston Bay. 2,3,7,8 TCDD was the only dioxin detected in eggs from all locations within...

  19. Mercury bioaccumulation in Lavaca Bay, Texas 

    E-Print Network [OSTI]

    Palmer, Sally Jo

    1992-01-01

    estuary, Keller Bay. The rate of Hg accumulation in shrimp, Penaeus sp. , blue crabs, Callinectes sapidus, and oysters, Crassostrea virginica and the Hg depuration rate in C. virginica were examined by performing caging experiments.... For the accumulation experiment shrimp from Matagorda Bay, blue crabs from Keller Bay, and oysters from Carancahua Reef in Carancahua Bay were collected and placed in ambient water and sediment of Lavaca and Keller Bays. Oysters were collected in North Lavaca Bay...

  20. Stoichiometry and temperature sensitivity of methanogenesis and CO2 production from saturated polygonal tundra in Barrow, Alaska

    SciTech Connect (OSTI)

    Roy Chowdhury, Taniya; Herndon, Elizabeth M; Phelps, Tommy Joe; Elias, Dwayne A; Gu, Baohua; Liang, Liyuan; Wullschleger, Stan D; Graham, David E

    2015-01-01

    Arctic permafrost ecosystems store ~50% of global belowground carbon (C) that is vulnerable to increased microbial degradation with warmer active layer temperatures and thawing of the near surface permafrost. We used anoxic laboratory incubations to estimate anaerobic CO2 production and methanogenesis in active layer (organic and mineral soil horizons) and permafrost samples from center, ridge and trough positions of water-saturated low-centered polygon in Barrow Environmental Observatory, Barrow AK, USA. Methane (CH4) and CO2 production rates and concentrations were determined at 2, +4, or +8 C for 60 day incubation period. Temporal dynamics of CO2 production and methanogenesis at 2 C showed evidence of fundamentally different mechanisms of substrate limitation and inhibited microbial growth at soil water freezing points compared to warmer temperatures. Nonlinear regression better modeled the initial rates and estimates of Q10 values for CO2 that showed higher sensitivity in the organic-rich soils of polygon center and trough than the relatively drier ridge soils. Methanogenesis generally exhibited a lag phase in the mineral soils that was significantly longer at 2 C in all horizons. Such discontinuity in CH4 production between 2 C and the elevated temperatures (+4 and +8 C) indicated the insufficient representation of methanogenesis on the basis of Q10 values estimated from both linear and nonlinear models. Production rates for both CH4 and CO2 were substantially higher in organic horizons (20% to 40% wt. C) at all temperatures relative to mineral horizons (<20% wt. C). Permafrost horizon (~12% wt. C) produced ~5-fold less CO2 than the active layer and negligible CH4. High concentrations of initial exchangeable Fe(II) and increasing accumulation rates signified the role of iron as terminal electron acceptors for anaerobic C degradation in the mineral horizons.

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

    E-Print Network [OSTI]

    LeFrançois, Suzanne O'Neil, 1980-

    2003-01-01

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

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

    E-Print Network [OSTI]

    Piper, Erin Alynn

    2011-08-08

    in June and July 2007. Surficial sediment analysis confirms that the recent sedimentation in Copano Bay is comprised of mostly estuarine mud with little sand or shell, large extents of oyster reefs and smaller areas of sand. Seismic stratigraphy analyses...

  3. Active Layer and Moisture Measurements for Intensive Site 0 and 1, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    John Peterson

    2015-04-17

    These are measurements of Active Layer Thickness collected along several lines beginning in September, 2011 to the present. The data were collected at several time periods along the Site0 L2 Line, the Site1 AB Line, and an ERT Monitoring Line near Area A in Site1.

  4. Active Layer and Moisture Measurements for Intensive Site 0 and 1, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    John Peterson

    These are measurements of Active Layer Thickness collected along several lines beginning in September, 2011 to the present. The data were collected at several time periods along the Site0 L2 Line, the Site1 AB Line, and an ERT Monitoring Line near Area A in Site1.

  5. Regulating new construction in historic areas

    E-Print Network [OSTI]

    Sellers-Garcia, Oliver

    2006-01-01

    This study is an examination of how the restrictiveness of different design regulations impacts the process of new construction in historic areas. The North End, South End, and Back Bay neighborhoods of Boston were identified ...

  6. Chesapeake Bay Approaches to Baltimore Harbor

    E-Print Network [OSTI]

    Chesapeake Bay Approaches to Baltimore Harbor Chart 12278 BookletChart Commemorative Edition ­ June;United States ­ East Coast MARYLAND CHESAPEAKE BAY APPROACHES TO BALTIMORE HARBOR The chart on the cover forces on the Chesapeake Bay, and defending Baltimore itself. Privateering With peacetime commerce

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

    SciTech Connect (OSTI)

    Barton, Christopher

    2007-12-15

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

  8. Meet the Bay Biscayne Bay is a subtropical marine

    E-Print Network [OSTI]

    . It is bordered on the west by Miami-Dade County and on the east side by 2 islands (Miami Beach and Fisher Island meters). Most Miami Heat players could comfortably stand in the Bay and still breathe. Text: Erica Van

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

    E-Print Network [OSTI]

    Patch, Mary Catherine

    2005-08-29

    . The Lavaca Bay estuary is a drowned river valley containing a history of estuary development in the late Pleistocene and Holocene. We used a chirp sonar to gather acoustic reflection profiles, which were classified to categorize and trace reflectors. The data...

  10. Sediment accumulation in San Leandro Bay, Alameda County, California, during the 20th century - A preliminary report

    SciTech Connect (OSTI)

    Nolan, K.M.; Fuller, C.C.

    1986-01-01

    Major changes made in the configuration of San Leandro Bay, Alameda County, California, during the 20th century have caused rapid sedimentation within parts of the Bay. Comparison of bathymetric surveys indicates that sedimentation in the vicinity of the San Leandro Bay channel averaged 0.7 cm/annum between 1856 and 1984. Lead-210 data collected at four shallow water sites east of the San Leandro Bay channel indicated that sedimentation rates have averaged between 0.06 and 0.28 cm/annum. Because bioturbation of bottom sediments cannot be discounted, better definition of this range in sedimentation rates would require measuring the activity of lead-210 on incoming sediments. In addition to sediment deposited in the vicinity of the San Leandro Bay channel and open, shallow areas to the east, 850,740 cu m of sediment was deposited between 1948 and 1983 in an area dredged at the mouth of San Leandro Creek. All available data indicate that between 1,213,000 and 1,364,000 cu m of sediment was deposited in San Leandro Bay between 1948 and 1983. Sediment yield data from an adjacent drainage basin, when combined with inventories of lead-210 and cesium-137, indicate that most of the sediment deposited in San Leandro Bay is coming from resuspension of bottom sediments or from erosion of marshes or shorelines of San Leandro or San Francisco Bay. 31 refs., 7 figs., 4 tabs.

  11. A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska

    SciTech Connect (OSTI)

    Gangodagamage, Chandana; Wullschleger, Stan

    2014-07-03

    This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

  12. A digital map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gangodagamage, Chandana; Wullschleger, Stan

    This dataset represent a map of the high center (HC) and low center (LC) polygon boundaries delineated from high resolution LiDAR data for the arctic coastal plain at Barrow, Alaska. The polygon troughs are considered as the surface expression of the ice-wedges. The troughs are in lower elevations than the interior polygon. The trough widths were initially identified from LiDAR data, and the boundary between two polygons assumed to be located along the lowest elevations on trough widths between them.

  13. Planning For Jamaica Bay's Future: Final Recommendations on the Jamaica

    E-Print Network [OSTI]

    Columbia University

    Planning For Jamaica Bay's Future: Final Recommendations on the Jamaica Bay Watershed Protection Plan Submitted by the Jamaica Bay Watershed Protection Plan Advisory Committee June 1, 2007 #12;Photo. The Jamaica Bay watershed protection plan. Presentation at York College, Queens. #12;PLANNING FOR JAMAICA BAY

  14. NAME: Habitat Restoration in Kaneohe Bay, Hawaii LOCATION: Kaneohe Bay, County of Honolulu, Hawaii

    E-Print Network [OSTI]

    US Army Corps of Engineers

    NAME: Habitat Restoration in Kaneohe Bay, Hawaii LOCATION: Kaneohe Bay, County of Honolulu, Hawaii ACRES: 13 acres coral reef NON-FEDERAL SPONSOR: State of Hawaii: Department of Land and Natural

  15. NSA Barrow Facility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesofPublications The NREL windTeacher Programs Photo ofInactive

  16. EA-389 Greay Bay Energy VI, LLC | Department of Energy

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

    Bay Energy VI, LLC Order authorizing Great Bay Energy to export electric energy to Canada. EA-389 Great Bay Energy (CN).pdf More Documents & Publications Application to Export...

  17. Tidal Marsh Vegetation of China Camp, San Pablo Bay, California

    E-Print Network [OSTI]

    Baye, Peter R.

    2012-01-01

    Francisco Bay Regional Water Quality Control Board. p 33–48.Francisco Bay Regional Water Quality Control Board. p 9–32.Francisco Bay Regional Water Quality Control Board. p 332–

  18. RISK ANALYSIS REPORT FOR THE BAY PARK SEWAGE TREATMENT

    E-Print Network [OSTI]

    Zhang, Minghua

    RISK ANALYSIS REPORT FOR THE BAY PARK SEWAGE TREATMENT PLANT (STP) TR-0 analyzes the flooding risks of the Bay Park Sewage Treatment Plant (STP

  19. San Francisco Bay Nutrient Management Strategy

    E-Print Network [OSTI]

    NUMBER 733 DEC 2014 San Francisco Bay Nutrient Management Strategy: Detailed Modeling Workplan-746-7334 (SFEI) · f: 510-746-7300 · www.sfei.org #12;THIS REPORT SHOULD BE CITED AS: SFEI (2014). San Francisco Bay Nutrient Management Strategy: Detailed Modeling Workplan for FY15-FY21. San Francisco Estuary

  20. New and Underutilized Technology: High Bay LED Lighting

    Broader source: Energy.gov [DOE]

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

  1. Planning For Jamaica Bay's Future: Preliminary Recommendations on the

    E-Print Network [OSTI]

    Columbia University

    Planning For Jamaica Bay's Future: Preliminary Recommendations on the Jamaica Bay Watershed Protection Plan Submitted by the Jamaica Bay Watershed Protection Plan Advisory Committee June 29, 2006 #12, February 9. The Jamaica Bay watershed protection plan. Presentation at York College, Queens. #12;PLANNING

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

    E-Print Network [OSTI]

    Noll, Christian John, IV

    2006-04-12

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

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

    E-Print Network [OSTI]

    Boyer, Edmond

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

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

    Broader source: Energy.gov [DOE]

    This EIS analyzes BPA's proposed action to build a 500- kilovolt (kV) transmission line and new substation to reinforce electrical service to the southern coast of the state of Oregon. Nucor Steel, a division of Nucor Corporation, may build a new steel mill in the Coos Bay/North Bend, Oregon, area.

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

    Broader source: Energy.gov [DOE]

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

  6. WATER SYSTEM IMPROVEMENT PROGRAM | WSIP Bay Area Water Infrastructure

    E-Print Network [OSTI]

    in the `89 earthquake Seismic Vulnerability Southeast Plant treats 80% of the City's flow and is vulnerable 2012 SSIP Validation Process & Workshops 3 Public Workshops Southeast Biosolids Digester Project. Green. Clean. SYSTEM AND SEISMIC RELIABILITY & REDUNDANCY INNOVATIVE STORMWATER MANAGEMENT SOLUTIONS

  7. Hot Springs Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energyarea,Magazine Jump to:II Wind FarmHorstHot

  8. Bailey Bay Hot Springs Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYorkColorado State Office

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation, searchCloverColado Geothermal Project

  10. Near Fish Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation,National Marine FisheriesPolicy | OpenGeothermal

  11. Sources and sinks of [sup 210]Pb in Concepcion Bay, Chile

    SciTech Connect (OSTI)

    Salamanca, Orrego, M.A.

    1993-01-01

    The sources and sinks of [sup 210]Pb to Concepcion Bay waters were evaluated to discern the relative importance of the main removal and supply mechanisms of this radionuclide to the waters of Concepcion Bay. The main inputs of [sup 210]Pb are the atmospheric supply and the advection of offshore upwelling waters. The atmospheric input was measured in precipitation using a collector and inventories of excess [sup 210]Pb in Rocuant and Raqui marsh sediments. The average atmospheric supply of [sup 210]Pb for Concepcion area is about 0.3 dpm cm[sup [minus]2] yr[sup [minus]1]. The advective input from upwelling varies from 0.6 [+-] 1.3 to 2.1 [+-] 2.0 dpm cm[sup [minus]2] yr[sup [minus]1]. [sup 210]Pb is removed efficiently from the water column as shelf water with high [sup 210]Pb content crosses the continental shelf off Concepcion Bay, with [sup 210]Pb/[sup 226]Ra activity ratios decreasing by a factor of 3 to 4 before reaching the interior of the bay. This is coincident with an increase of suspended matter concentration towards inside the bay. The main removal of [sup 210]Pb from Concepcion Bay waters is deposition in sediments. There is an increase of the [sup 210]Pb inventories toward the bay entrance excess (by a factor of 2) and outside the bay sediments (by a factor of 7). This pattern can be explained by an increase of mixing of sediments by the benthic infauna and enhanced removal of [sup 210]Pb from the water column by particles near the bay mouth. Mass balance calculations are included. The residence time of [sup 210]Pb with respect to removal from water column is estimated to be 17 to 43 days. The results of this research indicate that [sup 210]Pb and probably other similar particle-reactive contaminants (such as heavy metals) are retained and redistributed inside the bay by circulation, resuspension and biological mixing.

  12. Keweenaw Bay Indian Community- 2010 Project

    Broader source: Energy.gov [DOE]

    The Keweenaw Bay Indian Community (KBIC) is committed to preserving our natural environment and reducing the amount of fossil fuels consumed while developing "green" business manufacturing jobs on tribal lands.

  13. Gradient Analysis and Classification of Carolina Bay Vegetation: A Framework for Bay Wetlands Conservation and Restoration

    SciTech Connect (OSTI)

    Diane De Steven,Ph.D.; Maureen Tone,PhD.

    1997-10-01

    This report address four project objectives: (1) Gradient model of Carolina bay vegetation on the SRS--The authors use ordination analyses to identify environmental and landscape factors that are correlated with vegetation composition. Significant factors can provide a framework for site-based conservation of existing diversity, and they may also be useful site predictors for potential vegetation in bay restorations. (2) Regional analysis of Carolina bay vegetation diversity--They expand the ordination analyses to assess the degree to which SRS bays encompass the range of vegetation diversity found in the regional landscape of South Carolina's western Upper Coastal Plain. Such comparisons can indicate floristic status relative to regional potentials and identify missing species or community elements that might be re-introduced or restored. (3) Classification of vegetation communities in Upper Coastal Plain bays--They use cluster analysis to identify plant community-types at the regional scale, and explore how this classification may be functional with respect to significant environmental and landscape factors. An environmentally-based classification at the whole-bay level can provide a system of templates for managing bays as individual units and for restoring bays to desired plant communities. (4) Qualitative model for bay vegetation dynamics--They analyze present-day vegetation in relation to historic land uses and disturbances. The distinctive history of SRS bays provides the possibility of assessing pathways of post-disturbance succession. They attempt to develop a coarse-scale model of vegetation shifts in response to changing site factors; such qualitative models can provide a basis for suggesting management interventions that may be needed to maintain desired vegetation in protected or restored bays.

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

    SciTech Connect (OSTI)

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

    2012-11-15

    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.

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

    SciTech Connect (OSTI)

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

    2013-04-29

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

  16. South Bay Salt Pond Restoration Project SYNTHESES OF SCIENTIFIC KNOWLEDGE

    E-Print Network [OSTI]

    South Bay Salt Pond Restoration Project SYNTHESES OF SCIENTIFIC KNOWLEDGE for Maintaining and Improving Functioning of the South Bay Ecosystem and Restoring Tidal Salt Marsh and Associated Habitats over) Maintaining and Improving Functioning of the South Bay Ecosystem and (2) Restoring tidal salt marsh

  17. Sedimentary parameters of upper Barataria Bay, Louisiana 

    E-Print Network [OSTI]

    Siegert, Rudolf B

    1961-01-01

    SEDIMENTARY PARAMETERS OF UPPER BARATARIA BAY, LOUISIANA A Thesis Rudolf Bernhardt Siegert Submitted to the Graduate School of the Agricultural snd Mechanical College of Texas in partial fulfillment of the reGulremente for the d. agree... of MASTER OF SCIENCE August 1961 Ma)or Sub)ect GeologP SEDYIKNTARY PARAI'ZTEHS OF DT'PBR BARATARIA BAY, LOUISIANA A Thesis By Rudolf Bernhardt Siegert Approved as to style and content by: Chairman of C 'tice Bea of Department or Student Advisor...

  18. Higher surface ozone concentrations over the Chesapeake Bay than over the adjacent land: Observations and models from the

    E-Print Network [OSTI]

    Dickerson, Russell R.

    , in high enough concentrations, is a hazardous secondary air pollutant regulated by the United States t s Observations of ozone are higher over the Chesapeake Bay than areas upwind on land. Dry deposition rates, slower dry deposition rates, and other lesser mechanisms, contribute to the local maximum of ozone over

  19. Reconnaissance survey of eight bays in Puget Sound

    SciTech Connect (OSTI)

    Strand, J.A.; Crecelius, E.A.; Pearson, W.H.; Fellingham, G.W.; Elston, R.E.

    1988-03-01

    From 1983 to 1985, Battelle/Marine Research Laboratory conducted reconnaissance-level field and laboratory studies to better characterize toxic contamination problems occurring in selected urban-industrialized bays (Bellingham Bay, Port Gardner - Everett Harbor, Fourmile Rock - Elliot Bay dump site vicinity, Sinclair Inlet) of Puget Sound. It was envisioned that this goal was best achieved by simultaneously determining levels of contamination in selected baseline or 'reference bays' (Samish Bay, Case Inlet, Dabob Bay, Sequim Bay). Two major tasks composed this effort. The first was conducted in 1983 and consisted of preliminary or screening surveys to collect and analyze sediment samples from 101 stations distributed in the four urban-industrialized bays (Figure 1), and at 80 stations distributed in the four baseline bays (Figure 2). The second task was undertaken in 1984 and involved detailed surveys and analyses of the same bays, but at a limited number of stations (32 in urban embayments, 16 in baseline bays). The stations to be resampled in 1984 were the ''cleanest'' of the clean and the ''dirtiest'' of the dirty as determined by the 1983 sediment chemical analyses, and within restrictions imposed by sediment type.

  20. Improved coiled-tubing squeeze-cementing techniques at Prudhoe Bay

    SciTech Connect (OSTI)

    Hornbrook, P.R.; Mason, C.M. )

    1991-04-01

    This paper presents major changes in coiled-tubing squeeze-cementing techniques used in the Prudhoe Bay Unit Western Operating Area (PBUWOA). Changes include introduction of a polymer diluent to replace borax contamination, increased differential pressures placed on squeeze and coil, reduced cement volumes, and incorporation of an inflow test and resqueeze procedure. These changes resulted in increased squeeze effectiveness by reducing equipment and engineering time requirements and by shortening well shut-in time after the workover.

  1. Prudhoe Bay Oil Production Optimization: Using Virtual

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    1 Prudhoe Bay Oil Production Optimization: Using Virtual Intelligence Techniques, Stage One: Neural total field oil production by optimizing the gas discharge rates and pressures at the separation handling capacity and subsequent oil production. 10 YEAR AVERAGE AMBIENT 1990-2000 & 2001, 2002 Averages

  2. Fagatele Bay National Marine Sanctuary GIS Capacity

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

    Fagatele Bay National Marine Sanctuary GIS Capacity Binder Index Background 2 Hardware, Software Report, configuration notes American Samoa Spatial Data Infrastructure Maps GIS Data CDs Operating System) #12;Compiled by Allison Graves, Nuna Technologies 2002. 2 Background A GIS presence was established

  3. Fuzzy decision and control, the Bayes context 

    E-Print Network [OSTI]

    Painter, John H.

    1993-12-15

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

  4. Cape Bowling Green Green BayBowling

    E-Print Network [OSTI]

    Greenslade, Diana

    KIRWAN AL CLUDEN AL DEERAGUN AL PALLARENDA AL NORTH WARD AL MT MARGARET AL CASTLE HILL AL THE PINNACLES Dotswood Home Hill Townsville Rollingstone Fletcher Vale Burdekin Downs Alligator Creek Charters Towners YABULU MINGELA AL/MAN BAMBAROO LANSDOWN CLARE MUTARNEE NELLY BAY HOME HILL GIRU NORTH RAVENSWOOD

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

    SciTech Connect (OSTI)

    Kushman, Chris

    2014-02-03

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

  6. Promising Technology: High Bay Light-Emitting Diodes

    Broader source: Energy.gov [DOE]

    High bay LEDs offer several advantages over conventional high intensity discharge (HID) luminaires including longer lifetimes, reduced maintenance costs, and lower energy consumption.

  7. The Detector System of The Daya Bay Reactor Antineutrino Experiment

    E-Print Network [OSTI]

    F. P. An; J. Z. Bai; A. B. Balantekin; H. R. Band; D. Beavis; W. Beriguete; M. Bishai; S. Blyth; R. L. Brown; I. Butorov; D. Cao; G. F. Cao; J. Cao; R. Carr; W. R. Cen; W. T. Chan; Y. L. Chan; J. F. Chang; L. C. Chang; Y. Chang; C. Chasman; H. Y. Chen; H. S. Chen; M. J. Chen; Q. Y. Chen; S. J. Chen; S. M. Chen; X. C. Chen; X. H. Chen; X. S. Chen; Y. X. Chen; Y. Chen; J. H. Cheng; J. Cheng; Y. P. Cheng; J. J. Cherwinka; S. Chidzik; K. Chow; M. C. Chu; J. P. Cummings; J. de Arcos; Z. Y. Deng; X. F. Ding; Y. Y. Ding; M. V. Diwan; L. Dong; J. Dove; E. Draeger; X. F. Du; D. A. Dwyer; W. R. Edwards; S. R. Ely; S. D. Fang; J. Y. Fu; Z. W. Fu; L. Q. Ge; V. Ghazikhanian; R. Gill; J. Goett; M. Gonchar; G. H. Gong; H. Gong; Y. A. Gornushkin; M. Grassi; L. S. Greenler; W. Q. Gu; M. Y. Guan; R. P. Guo; X. H. Guo; R. W. Hackenburg; R. L. Hahn; R. Han; S. Hans; M. He; Q. He; W. S. He; K. M. Heeger; Y. K. Heng; A. Higuera; P. Hinrichs; T. H. Ho; M. Hoff; Y. K. Hor; Y. B. Hsiung; B. Z. Hu; L. M. Hu; L. J. Hu; T. Hu; W. Hu; E. C. Huang; H. Z. Huang; H. X. Huang; P. W. Huang; X. Huang; X. T. Huang; P. Huber; G. Hussain; Z. Isvan; D. E. Jaffe; P. Jaffke; K. L. Jen; S. Jetter; X. P. Ji; X. L. Ji; H. J. Jiang; W. Q. Jiang; J. B. Jiao; R. A. Johnson; J. Joseph; L. Kang; S. H. Kettell; S. Kohn; M. Kramer; K. K. Kwan; M. W. Kwok; T. Kwok; C. Y. Lai; W. C. Lai; W. H. Lai; T. J. Langford; K. Lau; L. Lebanowski; J. Lee; M. K. P. Lee; R. T. Lei; R. Leitner; J. K. C. Leung; K. Y. Leung; C. A. Lewis; B. Li; C. Li; D. J. Li; F. Li; G. S. Li; J. Li; N. Y. Li; Q. J. Li; S. F. Li; S. C. Li; W. D. Li; X. B. Li; X. N. Li; X. Q. Li; Y. Li; Y. F. Li; Z. B. Li; H. Liang; J. Liang; C. J. Lin; G. L. Lin; P. Y. Lin; S. X. Lin; S. K. Lin; Y. C. Lin; J. J. Ling; J. M. Link; L. Littenberg; B. R. Littlejohn; B. J. Liu; C. Liu; D. W. Liu; H. Liu; J. L. Liu; J. C. Liu; S. Liu; S. S. Liu; X. Liu; Y. B. Liu; C. Lu; H. Q. Lu; J. S. Lu; A. Luk; K. B. Luk; T. Luo; X. L. Luo; L. H. Ma; Q. M. Ma; X. Y. Ma; X. B. Ma; Y. Q. Ma; B. Mayes; K. T. McDonald; M. C. McFarlane; R. D. McKeown; Y. Meng; I. Mitchell; D. Mohapatra; J. Monari Kebwaro; J. E. Morgan; Y. Nakajima; J. Napolitano; D. Naumov; E. Naumova; C. Newsom; H. Y. Ngai; W. K. Ngai; Y. B. Nie; Z. Ning; J. P. Ochoa-Ricoux; A. Olshevskiy; A. Pagac; H. -R. Pan; S. Patton; C. Pearson; V. Pec; J. C. Peng; L. E. Piilonen; L. Pinsky; C. S. J. Pun; F. Z. Qi; M. Qi; X. Qian; N. Raper; B. Ren; J. Ren; R. Rosero; B. Roskovec; X. C. Ruan; W. R. Sands III; B. Seilhan; B. B. Shao; K. Shih; W. Y. Song; H. Steiner; P. Stoler; M. Stuart; G. X. Sun; J. L. Sun; N. Tagg; Y. H. Tam; H. K. Tanaka; W. Tang; X. Tang; D. Taychenachev; H. Themann; Y. Torun; S. Trentalange; O. Tsai; K. V. Tsang; R. H. M. Tsang; C. E. Tull; Y. C. Tung; N. Viaux; B. Viren; S. Virostek; V. Vorobel; C. H. Wang; L. S. Wang; L. Y. Wang; L. Z. Wang; M. Wang; N. Y. Wang; R. G. Wang; T. Wang; W. Wang; W. W. Wang; X. T. Wang; X. Wang; Y. F. Wang; Z. Wang; Z. Wang; Z. M. Wang; D. M. Webber; H. Y. Wei; Y. D. Wei; L. J. Wen; D. L. Wenman; K. Whisnant; C. G. White; L. Whitehead; C. A. Whitten Jr.; J. Wilhelmi; T. Wise; H. C. Wong; H. L. H. Wong; J. Wong; S. C. F. Wong; E. Worcester; F. F. Wu; Q. Wu; D. M. Xia; J. K. Xia; S. T. Xiang; Q. Xiao; Z. Z. Xing; G. Xu; J. Y. Xu; J. L. Xu; J. Xu; W. Xu; Y. Xu; T. Xue; J. Yan; C. G. Yang; L. Yang; M. S. Yang; M. T. Yang; M. Ye; M. Yeh; Y. S. Yeh; K. Yip; B. L. Young; G. Y. Yu; Z. Y. Yu; S. Zeng; L. Zhan; C. Zhang; F. H. Zhang; H. H. Zhang; J. W. Zhang; K. Zhang; Q. X. Zhang; Q. M. Zhang; S. H. Zhang; X. T. Zhang; Y. C. Zhang; Y. H. Zhang; Y. M. Zhang; Y. X. Zhang; Y. M. Zhang; Z. J. Zhang; Z. Y. Zhang; Z. P. Zhang; J. Zhao; Q. W. Zhao; Y. F. Zhao; Y. B. Zhao; L. Zheng; W. L. Zhong; L. Zhou; N. Zhou; Z. Y. Zhou; H. L. Zhuang; S. Zimmerman; J. H. Zou

    2015-08-17

    The Daya Bay experiment was the first to report simultaneous measurements of reactor antineutrinos at multiple baselines leading to the discovery of $\\bar{\

  8. Supplement to Chrisman, Langley, Bay, and Pohorille, \\Incorporating Biological Knowledge

    E-Print Network [OSTI]

    Chrisman, Lonnie

    Supplement to Chrisman, Langley, Bay, and Pohorille, \\Incorporating Biological Knowledge This supplement contains some of the detailed technical details of the proba- bilistic model, algorithm

  9. The Making of a Modern Market: eBay.com

    E-Print Network [OSTI]

    Kashkool, Keyvan

    2010-01-01

    political coalitions shift market design and influence theeBay and The Politics of Market Design and Management Thejustification for the market design as a level playing field

  10. The Detector System of The Daya Bay Reactor Antineutrino Experiment

    E-Print Network [OSTI]

    An, F P; Balantekin, A B; Band, H R; Beavis, D; Beriguete, W; Bishai, M; Blyth, S; Brown, R L; Butorov, I; Cao, D; Cao, G F; Cao, J; Carr, R; Cen, W R; Chan, W T; Chan, Y L; Chang, J F; Chang, L C; Chang, Y; Chasman, C; Chen, H Y; Chen, H S; Chen, M J; Chen, Q Y; Chen, S J; Chen, S M; Chen, X C; Chen, X H; Chen, X S; Chen, Y X; Chen, Y; Cheng, J H; Cheng, J; Cheng, Y P; Cherwinka, J J; Chidzik, S; Chow, K; Chu, M C; Cummings, J P; de Arcos, J; Deng, Z Y; Ding, X F; Ding, Y Y; Diwan, M V; Dong, L; Dove, J; Draeger, E; Du, X F; Dwyer, D A; Edwards, W R; Ely, S R; Fang, S D; Fu, J Y; Fu, Z W; Ge, L Q; Ghazikhanian, V; Gill, R; Goett, J; Gonchar, M; Gong, G H; Gong, H; Gornushkin, Y A; Grassi, M; Greenler, L S; Gu, W Q; Guan, M Y; Guo, R P; Guo, X H; Hackenburg, R W; Hahn, R L; Han, R; Hans, S; He, M; He, Q; He, W S; Heeger, K M; Heng, Y K; Higuera, A; Hinrichs, P; Ho, T H; Hoff, M; Hor, Y K; Hsiung, Y B; Hu, B Z; Hu, L M; Hu, L J; Hu, T; Hu, W; Huang, E C; Huang, H Z; Huang, H X; Huang, P W; Huang, X; Huang, X T; Huber, P; Hussain, G; Isvan, Z; Jaffe, D E; Jaffke, P; Jen, K L; Jetter, S; Ji, X P; Ji, X L; Jiang, H J; Jiang, W Q; Jiao, J B; Johnson, R A; Joseph, J; Kang, L; Kettell, S H; Kohn, S; Kramer, M; Kwan, K K; Kwok, M W; Kwok, T; Lai, C Y; Lai, W C; Lai, W H; Langford, T J; Lau, K; Lebanowski, L; Lee, J; Lee, M K P; Lei, R T; Leitner, R; Leung, J K C; Leung, K Y; Lewis, C A; Li, B; Li, C; Li, D J; Li, F; Li, G S; Li, J; Li, N Y; Li, Q J; Li, S F; Li, S C; Li, W D; Li, X B; Li, X N; Li, X Q; Li, Y; Li, Y F; Li, Z B; Liang, H; Liang, J; Lin, C J; Lin, G L; Lin, P Y; Lin, S X; Lin, S K; Lin, Y C; Ling, J J; Link, J M; Littenberg, L; Littlejohn, B R; Liu, B J; Liu, C; Liu, D W; Liu, H; Liu, J L; Liu, J C; Liu, S; Liu, S S; Liu, X; Liu, Y B; Lu, C; Lu, H Q; Lu, J S; Luk, A; Luk, K B; Luo, T; Luo, X L; Ma, L H; Ma, Q M; Ma, X Y; Ma, X B; Ma, Y Q; Mayes, B; McDonald, K T; McFarlane, M C; McKeown, R D; Meng, Y; Mitchell, I; Mohapatra, D; Kebwaro, J Monari; Morgan, J E; Nakajima, Y; Napolitano, J; Naumov, D; Naumova, E; Newsom, C; Ngai, H Y; Ngai, W K; Nie, Y B; Ning, Z; Ochoa-Ricoux, J P; Olshevskiy, A; Pagac, A; Pan, H -R; Patton, S; Pearson, C; Pec, V; Peng, J C; Piilonen, L E; Pinsky, L; Pun, C S J; Qi, F Z; Qi, M; Qian, X; Raper, N; Ren, B; Ren, J; Rosero, R; Roskovec, B; Ruan, X C; Sands, W R; Seilhan, B; Shao, B B; Shih, K; Song, W Y; Steiner, H; Stoler, P; Stuart, M; Sun, G X; Sun, J L; Tagg, N; Tam, Y H; Tanaka, H K; Tang, W; Tang, X; Taychenachev, D; Themann, H; Torun, Y; Trentalange, S; Tsai, O; Tsang, K V; Tsang, R H M; Tull, C E; Tung, Y C; Viaux, N; Viren, B; Virostek, S; Vorobel, V; Wang, C H; Wang, L S; Wang, L Y; Wang, L Z; Wang, M; Wang, N Y; Wang, R G; Wang, T; Wang, W; Wang, W W; Wang, X T; Wang, X; Wang, Y F; Wang, Z; Wang, Z M; Webber, D M; Wei, H Y; Wei, Y D; Wen, L J; Wenman, D L; Whisnant, K; White, C G; Whitehead, L; Whitten, C A; Wilhelmi, J; Wise, T; Wong, H C; Wong, H L H; Wong, J; Wong, S C F; Worcester, E; Wu, F F; Wu, Q; Xia, D M; Xia, J K; Xiang, S T; Xiao, Q; Xing, Z Z; Xu, G; Xu, J Y; Xu, J L; Xu, J; Xu, W; Xu, Y; Xue, T; Yan, J; Yang, C G; Yang, L; Yang, M S; Yang, M T; Ye, M; Yeh, M; Yeh, Y S; Yip, K; Young, B L; Yu, G Y; Yu, Z Y; Zeng, S; Zhan, L; Zhang, C; Zhang, F H; Zhang, H H; Zhang, J W; Zhang, K; Zhang, Q X; Zhang, Q M; Zhang, S H; Zhang, X T; Zhang, Y C; Zhang, Y H; Zhang, Y M; Zhang, Y X; Zhang, Z J; Zhang, Z Y; Zhang, Z P; Zhao, J; Zhao, Q W; Zhao, Y F; Zhao, Y B; Zheng, L; Zhong, W L; Zhou, L; Zhou, N; Zhou, Z Y; Zhuang, H L; Zimmerman, S; Zou, J H

    2015-01-01

    The Daya Bay experiment was the first to report simultaneous measurements of reactor antineutrinos at multiple baselines leading to the discovery of $\\bar{\

  11. Modeling nitrogen cycling in forested watersheds of Chesapeake Bay

    SciTech Connect (OSTI)

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

    1995-03-01

    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.

  12. Ground Penetrating Radar, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    John Peterson

    2015-03-06

    This is 500 MHz Ground Penetrating Radar collected along the AB Line in Intensive Site 1 beginning in October 2012 and collected along L2 in Intensive Site 0 beginning in September 2011. Both continue to the present.

  13. Ground Penetrating Radar, Barrow, Alaska

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    John Peterson

    This is 500 MHz Ground Penetrating Radar collected along the AB Line in Intensive Site 1 beginning in October 2012 and collected along L2 in Intensive Site 0 beginning in September 2011. Both continue to the present.

  14. NREL: Energy Analysis - Clayton Barrows

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on771/6/14 Contact:NewsWebmasterWorking With

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

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01

    and licensing of bar pilots, assisting in the research of navigation and safety improvements for Humboldt Bay, coordinating the Humboldt Bay Oil

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

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

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

  17. Willapa Bay Marine Ecology Research 1 Willapa Bay Marine Ecology Research: 2003 Summary

    E-Print Network [OSTI]

    Ruesink, Jennifer

    for us ­ and, as you may have noticed, a "tent city" that periodically sprang up around our house, on average, by four days each decade since 1936, and the frequency of commercial sets is more common found for the last few years ­ but a little sooner, probably from the warm bay water conditions. Third

  18. Chesapeake Bay Chart 12254 Cape Henry to Thimble Shoal Light

    E-Print Network [OSTI]

    Chesapeake Bay Chart 12254 ­ Cape Henry to Thimble Shoal Light BookletChart Commemorative Edition chart for navigation. · Complete, reduced scale nautical chart · Print at home for free · Convenient LIGHT The chart on the cover is Coast Chart No. 31, Chesapeake Bay­York River, Hampton Roads, Chesapeake

  19. Identifying Sources of Nitrogen to Hanalei Bay, Kauai, Utilizing the

    E-Print Network [OSTI]

    Paytan, Adina

    Identifying Sources of Nitrogen to Hanalei Bay, Kauai, Utilizing the Nitrogen Isotope Signature, Menlo Park, California 94025, and P.O. Box 681, Kilauea, Hawaii 96754 Sewage effluent, storm runoff of land derived nutrients into Hanalei Bay, Kauai. We determined the nitrogen isotopic signatures (15N

  20. Modeling the Circulation in Penobscot Bay, Maine Huijie Xue1

    E-Print Network [OSTI]

    Xiu, Peng

    Xue et al1 Modeling the Circulation in Penobscot Bay, Maine Huijie Xue1 , Yu Xu1 , David Brooks2 , Neal Pettigrew1 , John Wallinga1 1. School of Marine Sciences, University of Maine, Orono, ME 04469 Penobscot Bay, with approximate dimensions 50 x 100 km, is the largest estuarine embayment along the Maine

  1. Neutron calibration sources in the Daya Bay experiment

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

    Liu, J.; Carr, R.; Dwyer, D. A.; Gu, W. Q.; Li, G. S.; McKeown, R. D.; Qian, X.; Tsang, R. H. M.; Wu, F. F.; Zhang, C.

    2015-07-09

    We describe the design and construction of the low rate neutron calibration sources used in the Daya Bay Reactor Anti-neutrino Experiment. Such sources are free of correlated gamma-neutron emission, which is essential in minimizing induced background in the anti-neutrino detector. Thus, the design characteristics have been validated in the Daya Bay anti-neutrino detector.

  2. OFFSHORE FISHING IN BRISTOL BAY AND BERING SEA

    E-Print Network [OSTI]

    OFFSHORE FISHING IN BRISTOL BAY AND BERING SEA Marine Biological Laboratory DEC 19 1952 WOODS HOLE AND WILDLIFE SERVICE #12;#12;OFFSHORE FISHING IN BRISTOL BAY AND BERING SEA Marine Biological Laboratory DEC 19 governing the fishery 3 Experimental offshore fishing 5 Operations in 1939 6 Summary of 1939 operations , 13

  3. Manilla Bay 1, 1A, 1A sidetrack; success against all odds

    SciTech Connect (OSTI)

    Durkee, E.F.; Rillera, F.G. )

    1996-01-01

    The discovery of gas in Manila Bay is one of the more significant exploration discoveries in the Western Pacific in recent years. Within the Philippine Archipelago there is no better geographic or economic location to discover gas than at Manila Bay. Geologically, the well has proven that new concepts applied to old areas, in opposition to past beliefs and dogmas is still a valid way to find hydrocarbons. This is especially true re the western margin of the Central Valley of Luzon. New Venture reviewers (more than 100) were generally negative about the possibility of limestone objectives at this setting. The operators eventually drilled the prospect by themselves. The Manila Bay discovery well is on a large basement uplift with more than 2000 feet of vertical closure and 8,000 acres of areal closure at Miocene levels. The geological surprise was that the well drilled through a Pliocene Limestone (700 feet) charged with gas. An estimated in place resource of up to 2 TCF is possible. This is economically very significant for the Philippines as it is only 30 km from downtown Manila, a city of some 10 million people without any indigenous energy supply. Over-pressured fresh water sands induced drilling problems in the initial well MB-1AST and the deeper primary objectives in Middle to Lower Miocene, also predicted to be carbonates, were not reached. A second well to appraise the Pliocene and explore the deep zones will be drilled in early 1996.

  4. Manilla Bay 1, 1A, 1A sidetrack; success against all odds

    SciTech Connect (OSTI)

    Durkee, E.F.; Rillera, F.G.

    1996-12-31

    The discovery of gas in Manila Bay is one of the more significant exploration discoveries in the Western Pacific in recent years. Within the Philippine Archipelago there is no better geographic or economic location to discover gas than at Manila Bay. Geologically, the well has proven that new concepts applied to old areas, in opposition to past beliefs and dogmas is still a valid way to find hydrocarbons. This is especially true re the western margin of the Central Valley of Luzon. New Venture reviewers (more than 100) were generally negative about the possibility of limestone objectives at this setting. The operators eventually drilled the prospect by themselves. The Manila Bay discovery well is on a large basement uplift with more than 2000 feet of vertical closure and 8,000 acres of areal closure at Miocene levels. The geological surprise was that the well drilled through a Pliocene Limestone (700 feet) charged with gas. An estimated in place resource of up to 2 TCF is possible. This is economically very significant for the Philippines as it is only 30 km from downtown Manila, a city of some 10 million people without any indigenous energy supply. Over-pressured fresh water sands induced drilling problems in the initial well MB-1AST and the deeper primary objectives in Middle to Lower Miocene, also predicted to be carbonates, were not reached. A second well to appraise the Pliocene and explore the deep zones will be drilled in early 1996.

  5. BayWa Group | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy ResourcesPoint,View,BayWa Group

  6. Hooper Bay Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource History View NewGuam: Energyarea,Magazine Jump to: navigation,(SREP)Hooper Bay

  7. Cleveland Bay Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower Ventures Jump to: navigation, search Name: Clear PowerCleveland Bay Wind

  8. Microtopographic characterization of ice-wedge polygon landscape in Barrow, Alaska: a digital map of troughs, rims, centers derived from high resolution (0.25 m) LiDAR data

    SciTech Connect (OSTI)

    Gangodagamage, Chandana; Wullschleger, Stan

    2014-07-03

    The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, both topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers.

  9. Microtopographic characterization of ice-wedge polygon landscape in Barrow, Alaska: a digital map of troughs, rims, centers derived from high resolution (0.25 m) LiDAR data

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Gangodagamage, Chandana; Wullschleger, Stan

    The dataset represents microtopographic characterization of the ice-wedge polygon landscape in Barrow, Alaska. Three microtopographic features are delineated using 0.25 m high resolution digital elevation dataset derived from LiDAR. The troughs, rims, and centers are the three categories in this classification scheme. The polygon troughs are the surface expression of the ice-wedges that are in lower elevations than the interior polygon. The elevated shoulders of the polygon interior immediately adjacent to the polygon troughs are the polygon rims for the low center polygons. In case of high center polygons, these features are the topographic highs. In this classification scheme, both topographic highs and rims are considered as polygon rims. The next version of the dataset will include more refined classification scheme including separate classes for rims ad topographic highs. The interior part of the polygon just adjacent to the polygon rims are the polygon centers.

  10. CHANGES IN THE DISTRIBUTION AND DENSITY OF FLORIDA BAY MACROPHYTES: 1995 2004

    E-Print Network [OSTI]

    Durako, Michael J.

    CHANGES IN THE DISTRIBUTION AND DENSITY OF FLORIDA BAY MACROPHYTES: 1995 ­ 2004 J. Brooke Landry................................................................................xiii BASIN-SCALE CHANGES IN THE DISTRIBUTION AND DENSITY OF FLORIDA BAY MACROPHYTES: 1995 ­ 2004............................................................................194 BAY-SCALE CHANGES IN THE DISTRIBUTION AND DENSITY OF FLORIDA BAY MACROPHYTES: 1995 ­ 2004

  11. Bayes Empirical Bayes Inference of Amino Acid Sites Under Positive Selection Ziheng Yang,* Wendy S.W. Wong, and Rasmus Nielsen

    E-Print Network [OSTI]

    Nielsen, Rasmus

    . In this paper, we develop a Bayes empirical Bayes (BEB) approach to the problem, which assigns a prior and simulated data sets. The results suggest that in small data sets the new BEB method does not generate false

  12. Muon Simulation at the Daya Bay SIte

    SciTech Connect (OSTI)

    Mengyun, Guan; Jun, Cao; Changgen, Yang; Yaxuan, Sun; Luk, Kam-Biu

    2006-05-23

    With a pretty good-resolution mountain profile, we simulated the underground muon background at the Daya Bay site. To get the sea-level muon flux parameterization, a modification to the standard Gaisser's formula was introduced according to the world muon data. MUSIC code was used to transport muon through the mountain rock. To deploy the simulation, first we generate a statistic sample of sea-level muon events according to the sea-level muon flux distribution formula; then calculate the slant depth of muon passing through the mountain using an interpolation method based on the digitized data of the mountain; finally transport muons through rock to get underground muon sample, from which we can get results of muon flux, mean energy, energy distribution and angular distribution.

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

    E-Print Network [OSTI]

    Peterson, Larry Randal

    1972-01-01

    STUDIES ON THE ANATOMY AND ECOLOGICAL DISTRIBUTION OF DENTALIUM TEXASIANUM PHILIPPI 1848 IN WEST BAY OF THE GALVESTON BAY COMPLEX (MOLLUSCA:SCAPHOPODA) A Thesis by LARRY RANDAL PETERSEN Submitted to the Graduate College of Texas A...&M University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE August 1972 Major Subject: Biology STUDIES ON THE ANATOMY AND ECOLOGICAL DISTRIBUTION OF DENTALIUM TEXASIANUM PHILIPPI 1848 IN WEST BAY OF THE GALVESTON BAY...

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

    E-Print Network [OSTI]

    Crotwell, Patricia Lynn

    1997-01-01

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

  15. 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 OpenEI Reference LibraryAdd to library Journal Article:...

  16. Assembly and Installation of the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    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

    2013-09-06

    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.

  17. Project Reports for Keweenaw Bay Indian Community- 2010 Project

    Broader source: Energy.gov [DOE]

    The Keweenaw Bay Indian Community (KBIC) is committed to preserving our natural environment and reducing the amount of fossil fuels consumed while developing "green" business manufacturing jobs on tribal lands.

  18. JAMAICA BAY TASK FORCE MEETING Tuesday April 6, 2010

    E-Print Network [OSTI]

    Columbia University

    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

  19. Cross-media approach to saving the Chesapeake Bay

    SciTech Connect (OSTI)

    Appleton, E.L.

    1995-12-01

    A project EPA began in August will investigate the possibility of cross-media emissions trading as a new approach to reducing nitrogen loadings to the Chesapeake Bay. Working with the Environmental Defense Fund (EDF), the Agency hopes to device a NO{sub x} trading framework along the lines of existing sulfur dioxide trading plans to control acid rain. The Chesapeake Air Project will examine the feasibility of using emissions trading between and water sources, including trading credits between power plants and mobile sources, to reduce the atmospheric deposition of nitrogen to the bay. The progress of the Bay Program nutrient reduction goals is up for reevaluation in 1997, and Knopes and EDF economist Brian Morton have high hopes that the trading plan, which would place a cap on the mass of emissions and rate of deposition allowed by all sources, will become the atmospheric deposition portion of the Chesapeake Bay Program`s Nutrient Reduction Strategy. 6 refs.

  20. Project Reports for Keweenaw Bay Indian Community- 2010 Project

    Broader source: Energy.gov [DOE]

    The goal of the project is to build the staff capacity to enable the Keweenaw Bay Indian Community (KBIC) to establish a tribal weatherization program that promotes energy sufficiency throughout the tribal community.

  1. Fish assemblages on coral reefs in Guanaja, Bay Islands, Honduras 

    E-Print Network [OSTI]

    Mahendran, Christopher Kandiah

    1999-01-01

    Species composition and relative abundance of ichthyofaunal assemblages on reefs surrounding Guanaja, Bay Islands, Honduras were censused from June through December 1996. Transect and random swim surveys were used to characterize community structure...

  2. Preliminary Investigation of Tracer Gas Reaeration Method for Shallow Bays 

    E-Print Network [OSTI]

    Baker, Sarah H.; Holley, Edward R.

    1987-01-01

    Accurate estimates of surface exchange rates for volatile pollutants in bays are needed to allow predictions of pollutant movement and retention time. The same types of estimates can be used to calculate reaeration rates. The tracer gas technique...

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

    E-Print Network [OSTI]

    Austin, George Belden

    1953-01-01

    of Symbols, Tables ~ . . . I, INTRODUCTION Historical B. Classification of Estuaries C. Ob]ectives II. GENERAL DISCUSSION OF NOBILE BAY A. Geomorphological B. Geological C. Biological iii ~ ~ vi ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ o sic.... Collection of Data 27 2B V, ANALYSIS OF THE DATA A. Methods B. Distribution of Temperature, Salinity, and Fresh Water Page 30 30 C. Circulation D. Mass Transport . E. Tidal Flushing of Mobile Bay . VI ~ SUMMAHY AND CONCLUSIONS VII, BIBLIOGRAPHY...

  4. Subenvironments of deposition in San Antonio Bay, Texas 

    E-Print Network [OSTI]

    Hall, Gary Lynn

    1973-01-01

    SUBENVIRONMENTS OF DEPOSITION IN SAN ANTONIO BAY, TEXAS A Thesis by GARY LYNN HALL Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE December 1973 Major... Subject: Oceanography SUBENVIRONMENTS OF DEPOSITION IN SAN ANTONIO BAY, TEXAS A Thesis by GARY LYNN HALL Approved as to style and content by: hairman o ommi ttee Head of epartme, Mem er Mem e er December 1973 ABSTRACT Subenvironments...

  5. Interim Closure Activities at Corrective Action Unit 114: Area 25 EMAD Facility, Nevada National Security Site, Nevada

    SciTech Connect (OSTI)

    Boehlecke, R. F.

    2011-10-24

    This letter report documents interim activities that have been completed at CAU 114 to support ongoing access and generate information necessary to plan future closure activities. General housekeeping and cleanup of debris was conducted in the EMAD yard, cold bays, support areas of Building 3900, and postmortem cell tunnel area of the hot bay. All non-asbestos ceiling tiles and loose and broken non-friable asbestos floor tiles were removed from support galleries and office areas. Non-radiologically contaminated piping and equipment in the cold areas of the building and in the two 120-ton locomotives in the yard were tapped, characterized, drained, and verified free of contents.

  6. Bay Alarm Contract: Campus Notification Purchasing has established a 3 year master agreement with Bay Alarm for burglary monitoring services,

    E-Print Network [OSTI]

    Bay Alarm Contract: Campus Notification Purchasing has established a 3 year master agreement verification fees, as I will pay those if you use the negotiated agreement. As long as you have existing phone

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

    E-Print Network [OSTI]

    Frick, Karen Trapenberg

    2008-01-01

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

  8. Proceedings of the Symposium: Current Perspectives on the Physical and Biological Processes of Humboldt Bay, March 2004

    E-Print Network [OSTI]

    Schlosser, S. C.

    2007-01-01

    and licensing of bar pilots, assisting in the research of navigation and safety improvements for Humboldt Bay, coordinating the Humboldt Bay Oil

  9. Cathodic Protection of the Yaquina Bay Bridge

    SciTech Connect (OSTI)

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

    2001-02-01

    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.

  10. Natural geological responses to anthropogenic alterations of the naples bay estuarine system 

    E-Print Network [OSTI]

    Fielder, Bryan Robert

    2009-05-15

    .1 Regional Geologic Setting....................................................................... 4 2.2 Environmental Setting ............................................................................. 5 2.3 Historical Anthropogenic Alterations... ............................................................... 19 4.2.2 Southern Naples Bay ............................................................... 20 4.2.3 Dollar Bay ............................................................................... 22 5. DISCUSSION...

  11. Hydro INTERNATIONAL | OCTOBER 2015 | 21 Figure 1: Bechevin Bay Inlet System.

    E-Print Network [OSTI]

    New Hampshire, University of

    Hydro INTERNATIONAL | OCTOBER 2015 | 21 FEATURE | Figure 1: Bechevin Bay Inlet System. Bechevin Bay, the derived bathymetry was limited to very shallow depths because of the sediment #12;| OCTOBER 2015 | Hydro

  12. FISHES, MACROINVERTEBRATES, AND HYDROLOGICAL CONDITIONS OF UPLAND CANALS IN TAMPA BAY, FLORIDA'

    E-Print Network [OSTI]

    with the estuary. Shortly after draglines removed earth plugs between the excavated canal system and the bay

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

    E-Print Network [OSTI]

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

    2012-05-17

    delivered educational programs to landowners throughout the watershed. Result demonstrations, county programs, one-on-one landowner assistance, BMP exhibits, Ag Tours, publications and other educational meetings have been used to reach the widest array... in Copano Bay to assess any potential trends or changes that have occurred. Summary of Task 2 Report Copano Bay is a 65-square-mile estuary located northeast of Corpus Christi, Texas. Port Bay, Mission Bay, the Aransas River arm, and the eastern...

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

    E-Print Network [OSTI]

    Barnard, Patrick; Kvitek, Rikk

    2010-01-01

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

  15. A regional numerical ocean model of the circulation in the Bay of Biscay

    E-Print Network [OSTI]

    Drijfhout, Sybren

    A regional numerical ocean model of the circulation in the Bay of Biscay Y. Friocourt,1,2,3 B Peninsula and in the Bay of Biscay is investigated by means of a regional ocean model. In particular numerical ocean model of the circulation in the Bay of Biscay, J. Geophys. Res., 112, C09008, doi:10

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

    E-Print Network [OSTI]

    Bronikowski, Jason Lee

    2004-11-15

    Sedimentation rates in sediment cores from Lavaca Bay have been high within the last 1-2 decays within the central portion of the bay, with small fluctuations from river input. Lavaca Bay is a broad, flat, and shallow (<3 m) microtidal estuary...

  17. /sup 210/Pb dating and the recent geologic history of Crystal Bay, Lake Minnetonka, Minnesota

    SciTech Connect (OSTI)

    Murchie, S.L.

    1985-11-01

    /sup 210/Pb dating of five cores from Crystal Bay, Lake Minnetonka, was used to examine the geologic history of the basin during the last century. A lakewide /sup 210/Pb budget and the basinwide average cumulative activities of /sup 210/Pb within time-stratigraphic units were estimated from multiple cores. Ages of time-stratigraphic markers and sediment accumulation rates of time-stratigraphic units were calculated from a constant-flux /sup 210/Pb-dating model. The basinwide bulk-sediment accumulation rate was found to have increased from 0.003 g cm/sup -2/ yr/sup -1/ before settlement to 0.07 g cm/sup -2/ yr/sup -1/ for the period from 1962 to 1983. Since settlement of the surrounding area, profundal sediment became highly calcareous and accumulation of littoral marl began. Intensity of focusing of sediment to the center of Crystal Bay decreased as basinwide sediment accumulation rates increased. Light organic sediment was also found to be more intensely focused than heavier siliceous or calcareous sediment. Accumulation of sediment spread to regions shallower than 5 m as the rate of sedimentation exceeded the rate of sediment resuspension at the depth, about 4 mm yr/sup -1/.

  18. Naval submarine base Kings Bay and Bangor soil evaluations.

    SciTech Connect (OSTI)

    Holcomb, David Joseph; Patteson, Raymond; Wesenberg, Donald L.; Attaway, Stephen W.

    2004-08-01

    This report provides soil evaluation and characterization testing for the submarine bases at Kings Bay, Georgia, and Bangor, Washington, using triaxial testing at high confining pressures with different moisture contents. In general, the samples from the Bangor and Kings Bay sites appeared to be stronger than a previously used reference soil. Assuming the samples of the material were representative of the material found at the sites, they should be adequate for use in the planned construction. Since soils can vary greatly over even a small site, a soil specification for the construction contractor would be needed to insure that soil variations found at the site would meet or exceed the requirements. A suggested specification for the Bangor and Kings Bay soils was presented based on information gathered from references plus data obtained from this study, which could be used as a basis for design by the construction contractor.

  19. Research Areas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDid youOxygen Generation |Publications TheGashome /Areas Research Areas

  20. Recent marine podocopid Ostracoda of Narragansett Bay, Rhode Island

    E-Print Network [OSTI]

    Williams, R. B.

    1966-11-23

    major factors: ( I) inadequate collecting station location density; (2) lack of en- vironmental data obtained at time of sampling; and (3), loss of portions of the sample attributable to leakage of the sampling apparatus. It may be that the third factor... ni. FM 6. Propontocypris edwardsi ( CusHmAN), a-c, RV int., LV hinge, both valves dorsal, X 90. Williams-Podocopid Ostracoda of Narragansett Bay 13 Material.-Specimens 34, of which 29 were articulated. Distribution.-Narragansett Bay, Rhode Island...

  1. AGE, GROWTH, SEX RATIO, AND MATURITY OF THE WHITEFISH IN CENTRAL GREEN BAY AND ADJACENT WATERS OF LAKE MICHIGAN

    E-Print Network [OSTI]

    lighter than those from Green Bay. Weight increased to the 3.386 power of length in Green Bay (combinedAGE, GROWTH, SEX RATIO, AND MATURITY OF THE WHITEFISH IN CENTRAL GREEN BAY AND ADJACENT WATERS from five localities In central Green Bay in 1948-49 and 1951-52 and 204 in a single 1948 collection

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

    E-Print Network [OSTI]

    Kundu, Debasis

    Bayes Estimation for the Marshall-Olkin Bivariate Weibull Distribution Debasis Kundu1 & Arjun K distribution. It is a singular distribution whose marginals are Weibull dis- tributions with respect to the squared error loss function and the prior distributions allow for prior dependence among

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  4. UMCESUNIVERSITY OF MARYLAND CENTER for ENVIRONMENTAL SCIENCE CHESAPEAKE BAY

    E-Print Network [OSTI]

    Boynton, Walter R.

    : Utility of ConMon Data for Assessing Shallow Water Habitats 2-1 Community Metabolism: Use of ConMon Data on ConMon data collected along a eutrophication gradient from the Maryland Coastal Bays (A) Bishopville versus daily DO range (max DO ­ min DO) based on ConMon data collected along a eutrophication gradient

  5. Water Recycling Becomes Reality In the South Bay

    E-Print Network [OSTI]

    Water Recycling Becomes Reality In the South Bay 12th Biennial State of the San Francisco Estuary Conference Friday September 18, 2015 #12;2 Presentation will cover: Santa Clara Valley Water District and Water Supply Picture Silicon Valley Advanced Water Purification Center Recycled Water Expansion- Potable

  6. Predicting Customer Behavior using Naive Bayes and Maximum Entropy

    E-Print Network [OSTI]

    Keysers, Daniel

    of returned goods, we additionally generated two binary features for zero and missing values. The remaining Naive Bayes, Maximum Entropy, Neural Networks and Logistic Regression for classification of cus- tomer classifiers won the Data-Mining-Cup in 2004. Combining Logistic Regression, Neural Networks, and Maximum

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

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    WIND POWER AT GUANTANAMO BAY: A HYBRID WIND-DIESEL SYSTEM FOR THE US NAVY AT GUANTANAMO NAVAL BASE Laboratory and are actively developing what will be the world's largest wind-diesel hybrid electric plant. The pending installation of four 950-kW wind turbines to supplement the 22.8 MW diesel electricity plant

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

    E-Print Network [OSTI]

    Guannel, Gregory

    2001-01-01

    . The observations show that the subtidal water surface energy increases with decreasing frequency, and that amount of energy increases with distance towards the end of the estuary. The surface setup and the water elevation at the entrance of the bay are asymmetric...

  9. Manufacturing Facility/ Bay Library Information Introduction what is BREEAM?

    E-Print Network [OSTI]

    Martin, Ralph R.

    Manufacturing Facility/ Bay Library Information Introduction ­ what is BREEAM? BREEAM is one Trust. For further information on the BRE Trust please refer to their website www.bre.co.uk BREEAM that the building can be simply identified. BREEAM Rating and score Targeting BREEAM `Excellent' 70.0% BREEAM

  10. Risk assessment for produced water discharges to Louisiana Open Bays

    SciTech Connect (OSTI)

    Meinhold, A.F.; DePhillips, M.P.; Holtzman, S.

    1995-06-23

    Data were collected prior to termination of discharge at three sites (including two open bay sites at Delacroix Island and Bay De Chene) for the risk assessments. The Delacroix Island Oil and Gas Field has been in production since the first well drilling in 1940; the Bay De Chene Field, since 1942. Concentrations of 226Ra, 228Ra, 210Po, and 228Th were measured in discharges. Radium conc. were measured in fish and shellfish tissues. Sediment PAH and metal conc. were also available. Benthos sampling was conducted. A survey of fishermen was conducted. The tiered risk assessment showed that human health risks from radium in produced water appear to be small; ecological risk from radium and other radionuclides in produced water also appear small. Many of the chemical contaminants discharged to open Louisiana bays appear to present little human health or ecological risk. A conservative screening analysis suggested potential risks to human health from Hg and Pb and a potential risk to ecological receptors from total effluent, Sb, Cd, Cu, Pb, Ni, Ag, Zn, and phenol in the water column and PAHs in sediment; quantitiative risk assessments are being done for these contaminants.

  11. Nora Demers Presentation at the Estero Bay

    E-Print Network [OSTI]

    Demers, Nora Egan

    Mullock Drainage District (yellow) #12;showing sewer and water infrastructure for San Carlos Park, Lee County, Florida. Areas in green are served by municipal sewer and water, in blue by water, (with septic.00 and 22.00 is from humans #12;#12;·Install expensive central sewer but that will not address fertilizer

  12. Smart Parking Linked to Transit: Lessons Learned from the San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Shaheen, Susan; Kemmerer, Charlene

    2007-01-01

    communications, and a wireless parking lot counting system)the highway to the smart parking lot and addressing residentcounting system in the BART parking lot to provide data for

  13. Smart Parking Management Pilot Project: A Bay Area Rapid Transit (BART) District Parking Demonstration

    E-Print Network [OSTI]

    Shaheen, Susan; Rodier, Caroline J.; Eaken, Amanda M.

    2005-01-01

    and Okuda, T. (1996). Smart parking in Toyota’s Motown. ITS:development of an advanced parking information system plan.Ideal Mates For University Parking Programs. The Parking

  14. Smart Parking Mangement Field Test: A Bay Area Rapid Transit (BART) District Parking Demonstration Final Report

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan; Kemmerer, Charlene

    2008-01-01

    infrastructure (e.g. , lanes, parking). On the basis of aat bicycle and e-bike parking lots along the main travel

  15. Smart Parking Management Pilot Project: A Bay Area Rapid Transit (BART) District Parking Demonstration

    E-Print Network [OSTI]

    Shaheen, Susan; Rodier, Caroline; Eaken, Amanda M.

    2005-01-01

    201. Ferguson, E. (2000). Parking management and commuterand Okuda, T. (1996). Smart parking in Toyota’s Motown. ITS:development of an advanced parking information system plan.

  16. Smart Parking Linked to Transit: Lessons Learned from the San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Shaheen, Susan; Kemmerer, Charlene

    2007-01-01

    2004, pp. 166-167. 9. Advanced Parking Management Systems: App. 41-42. 11. Arnott, S. Parking Tickets by Text, Smartcard14, 2007. 13. RingGo Parking System, First Great Western

  17. Smart Parking Management Field Test: A Bay Area Rapid Transit (BART) District Parking Demonstration

    E-Print Network [OSTI]

    Shaheen, Susan

    2005-01-01

    Suzuki, T. and Yamomoto, S. Parking system for highways inA feasibility study of a parking information system in NYC.1997). Drivers’ response to parking guidance and information

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

    E-Print Network [OSTI]

    Allen, Peter Albert

    2009-01-01

    politics of ecology. ”). “Credo,” Handwritten notes from aa Telesis Study,” 8. Ibid. “Credo,” Handwritten notes from aOrigins of the DCRP,” 21. “Credo,” Handwritten notes from a

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

    E-Print Network [OSTI]

    Allen, Peter Albert

    2009-01-01

    architecture is “shaped by the desire to create an ideal community and has often been a vehicle for expressing the utopian

  20. Smart Parking Linked to Transit: Lessons Learned from the San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Shaheen, Susan; Kemmerer, Charlene

    2007-01-01

    C.J. Rodier, and A.M. Eaken. Smart Parking Management FieldT. Sugimoto, and T. Okuda. Smart Parking in Toyota’s Motown.S.A. Shaheen. Transit-Based Smart Parking: An Evaluation of

  1. Mercury and Methylmercury in the San Francisco Bay area: land-use impact and indicators

    E-Print Network [OSTI]

    Kim, Hyojin

    2008-01-01

    80, p199-225 State Water Control Resource Board, http://watersheds (State Water Control Resource Board, http://

  2. Bay Area national labs team to tackle long-standing automotive...

    National Nuclear Security Administration (NNSA)

    Energy's (DOE) Fuel Cell Technologies Office within the Office of Energy Efficiency and Renewable Energy at 3 million per year for three years, with the possibility of renewal....

  3. Polychlorinated biphenyls in the exterior caulk of San Francisco Bay Area buildings, California, USA

    E-Print Network [OSTI]

    ), nominally closed systems (hydraulic and heat transfer systems, vacuum pumps), and open ended applications

  4. New evidence of slope instability in the Outardes Bay delta area, Quebec, Canada

    E-Print Network [OSTI]

    Long, Bernard

    features are in direct relationship with the seismic interpretation of the data collected upslope multibeam sonar (95 kHz) on the slope to provide high-resolution seismic and bathy- metric data. The seismic

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

    E-Print Network [OSTI]

    Allen, Peter Albert

    2009-01-01

    Green: Toward Sustainable Architecture in the 21st Century.emergence of the sustainable architecture movement. As theGreen: Toward Sustainable Architecture in the 21st Century (

  6. After Foreclosure: The Social and Spatial Reconstruction of Everyday Lives in the San Francisco Bay Area

    E-Print Network [OSTI]

    Martin, Anne Julien

    2012-01-01

    Amelia: I need new slacks. I went to WalMart - I hateshopping at WalMart - but Iwent to WalMart, because they've got the cheapest pants. I

  7. QER- Comment of Bay Area Biosolids to Energy Coalition (BAB2E)

    Broader source: Energy.gov [DOE]

    Please Accept the attached written comments as submitted to the: Quadrennial Energy Review: Comment on Public Meeting "Water-Energy Nexus, June 19, 2014, Washington DC Please let me know that you received the comments and that they will be put on the record for this comment period Thank You Paul

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

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

    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...

  9. Iraqi Exiles Find New Lives in Bay Area, Reflect on War's Cost

    E-Print Network [OSTI]

    Ahmed, Huda

    2010-01-01

    passed since the U. S. invasion of Iraq. Do you think theinvasion was worth it? Is Iraq a better place today, and areU.S. should have liberated Iraq a long time ago. I think it

  10. Organ Trade : sea level rise adaptation strategies for the San Francisco Bay Area

    E-Print Network [OSTI]

    Ungureanu, Cristina

    2010-01-01

    It is not only coastal conditions, but inland ones, that can inform an approach to and process of wetland adaptation in the face of sea level rise. A particular watershed clip in Alameda County, located in South San Francisco ...

  11. Bay Area national labs team to tackle long-standing automotive...

    National Nuclear Security Administration (NNSA)

    Head of Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO) Preparatory Commission Visits NNSA's Nevada National Security Site (NNSS) for First Time NNSA sites take home 15...

  12. Smart Parking Management Field Test: A Bay Area Rapid Transit (BART) District Parking Demonstration; Final Report

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan; Kemmerer, Charlene

    2008-01-01

    California Transportation Implications of Telecommuting Energy,California Energy Commission Department of Transportation Department of EnergyTransportation Policy Study Commission California Energy

  13. The occurrence and distribution of the hydroida of the Galveston Bay, Texas, area 

    E-Print Network [OSTI]

    Defenbaugh, Richard Eugene

    1970-01-01

    * ' (~P 1 ' . p. , 1 11 . p. , ~Cam alecium n. sp. ) are provisionally described as new, but are not assigned specif ic epithets for reasons stated in the text. Eight p ' (~P' ' j ', 1 d d t ~, ~C1 ' j h 1, Lovenella Bracilis, Lovenella Brandis..., Halecium bermudense, Sertularia ~ma eri, and Plumularia floridana) are new records for 1, p ' (~P' ' ~) ' f th G1f f M ', d p ' (~C1 t' ~1' h ) ' f th 1 1 coast, having been previously reported only from the North American Pacific coast The species...

  14. Sandia Energy - Bay-Area National Labs Team to Tackle Long-Standing

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust, High-Throughput Analysis ofSample SULI ProgramPhysical Societylasers BES

  15. Bay Area national labs team to tackle long-standing automotive hydrogen

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouthReporteeo | National Nucleara min [TypeCommittee on theiBasicOn

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment ofOffice ofofWind ProjectsEfficiencyPrepared for Delivery |Solar--Union

  17. Problem set 2: Constructing a nutrient budget for Bellingham Bay In recent years the concentration of dissolved oxygen in bottom water in Bellingham Bay has been

    E-Print Network [OSTI]

    Shull, David H.

    (NO3 ) was highest in the deep water entering Bellingham Bay from the Strait of Georgia. Ammonium was slightly lower than that in deep water (Table 1). However, in much of the surface water in Bellingham Bay Nooksack River water and deep water (Fig.2). Nitrite concentrations (NO2 ) were generally low. Water

  18. Runaway Bay, Texas: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onRAPID/Geothermal/Exploration/ColoradoRemsenburg-Speonk, NewMichigan:Roxbury, Vermont:(RedirectedEasements ||Runaway Bay,

  19. South Bay, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-Enhancing Capacity forSiliciumEnergy IncAshburnham, Massachusetts:Barrington,Bay,

  20. An ecological study of the benthic macrofauna of Matagorda Bay, Texas 

    E-Print Network [OSTI]

    Marland, Frederick C

    1958-01-01

    . Mitchell's vork iu Nategorda Bay is of such interest that it vill be discussed Lu a later section, Iu 1905~ Moors (1907) studied the oyster bcttons of Natagorda Bay ? partieularIy Halfssen Beef. Tbs purpose of this and other Lurestlgations that followed... vas an attsupt tc inorease the produotion of oysters in the Texas bays. A fev years later, Rxee and Dauglade (1915) ascertained ths character of the oyster bede@ ecologioal factors, eneniss aui pestsy and usda suggestions to benefit the oyster...

  1. Spectral measurement of electron antineutrino oscillation amplitude and frequency at Daya Bay

    E-Print Network [OSTI]

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

    2014-01-15

    A measurement of the energy dependence of antineutrino disappearance at the Daya Bay Reactor Neutrino Experiment is reported. Electron antineutrinos ($\\overline{\

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

    E-Print Network [OSTI]

    Wei Wang; for the Daya Bay collaboration

    2009-10-23

    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.

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

    E-Print Network [OSTI]

    Wang, Wei

    2009-01-01

    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.

  4. High-resolution pollutant transport in the San Pedro Bay of California

    E-Print Network [OSTI]

    Cohan, Alexander; Wu, Jun; Dabdub, Donald

    2011-01-01

    pollutant transport in the San Pedro Bay   of California California Institute of Technology (UCI–CIT) three– dimensional  atmospheric  chemical  transport 

  5. Avian Communities in Tidal Salt Marshes of San Francisco Bay: A Review of Functional Groups by Foraging Guild and Habitat Association

    E-Print Network [OSTI]

    2011-01-01

    report on the Cargill Salt Ponds. Senate select committee onartificial salt evaporation ponds of the San Francisco BayMA. 2005. South Bay salt ponds restoration project short-

  6. Plant Physiology Data, Barrow, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Alistair Rogers

    2015-01-13

    Survey measurements of photosynthetic rate and stomatal conductance together with carbon dioxide concentration, temperature, PAR, and relative humidity for 8 species on the BEO.

  7. Plant Physiology Data, Barrow, Alaska, 2013

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Alistair Rogers

    Survey measurements of photosynthetic rate and stomatal conductance together with carbon dioxide concentration, temperature, PAR, and relative humidity for 8 species on the BEO.

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

    SciTech Connect (OSTI)

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

    2005-04-27

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

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

    E-Print Network [OSTI]

    Steichen, Jamie L

    2013-01-15

    . Dinoflagellates, capable of forming harmful algal blooms leading to fish and shellfish kills, are being transported to Galveston Bay via ballast water. Our results suggest that Galveston Bay is at risk for invasive species introductions via ballast water...

  10. Late Holocene Stratigraphy, Humboldt Bay, California: Evidence for Late Holocene Paleoseismicity of the Southern Cascadia Subduction Zone

    E-Print Network [OSTI]

    Valentine, David Wade

    1992-01-01

    the formation of the stratigraphy found in Humboldt Bay. .Discussion i ii iii iv y vi Stratigraphy . Mad River Slough—for the formation of the Stratigraphy found in Humboldt Bay.

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

    E-Print Network [OSTI]

    Presser, Theresa S.; Luoma, Samuel N.

    2013-01-01

    experimental ponds. Water, Air, and Soil Pollution 62(1–2):Pollution [SFBRWQCB] California San Francisco Bay Regional Water

  12. Modeling Bed-Load Transport of Coarse Sediments in the Great Bay Estuary, New Hampshire.

    E-Print Network [OSTI]

    Modeling Bed-Load Transport of Coarse Sediments in the Great Bay Estuary, New Hampshire. A. Bilgili Hanover, NH 03755, U.S.A. 2 University of New Hampshire Ocean and Mechanical Engineering Departments River section of the Great Bay Estuary, New Hampshire, USA.- a well-mixed and geometrically complex

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

    E-Print Network [OSTI]

    Schroer, Lee Allen

    2014-05-07

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

  14. Environmental Research 105 (2007) 87100 The slow recovery of San Francisco Bay from the legacy of

    E-Print Network [OSTI]

    2007-01-01

    , Livermore, CA 94551, USA c Regional Water Quality Control Board, San Francisco Bay Region, 1515 Clay St of the Bay from these inputs and predict its future improvement. Legacy pesticides enter the water contaminated sediment deposits, and dredging and disposal of dredged material. Runoff from small

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

    E-Print Network [OSTI]

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

  16. THE ECOLOGICAL BOUNDARIES OF SIX CAROLINA BAYS: COMMUNITY COMPOSITION AND ECOTONE DISTRIBUTION

    E-Print Network [OSTI]

    Hutchens, John

    of Biology P.O. Box 261954 Coastal Carolina University Conway, South Carolina, USA 29528-6054 E-mail: Joluken rims of each of six Carolina bays in northeastern South Carolina to characterize the community gradientTHE ECOLOGICAL BOUNDARIES OF SIX CAROLINA BAYS: COMMUNITY COMPOSITION AND ECOTONE DISTRIBUTION

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

    E-Print Network [OSTI]

    Marsden, Jerrold

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

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

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    SPE 77659 Prudhoe Bay Oil Production Optimization: Using Virtual intelligence Techniques, Stage One, TX 75083-3836, U.S.A., fax 01-972-952-9435. Abstract Field data from the Prudhoe Bay oil field.998 respectively. This is the first phase in the development of a tool to maximize total field oil production

  19. Word Classification: An Experimental Approach with Nave Bayes ding@cs.umb.edu

    E-Print Network [OSTI]

    Ding, Wei

    Word Classification: An Experimental Approach with Naďve Bayes Wei Ding ding@cs.umb.edu University 77058 USA Abstract Word classification is of significant interest in the domain of natural language presents an experimental method using Naďve Bayes for word classification. The method is based on combing

  20. New York Harbor Chart 12334 New York Harbor Upper Bay and Narrows

    E-Print Network [OSTI]

    New York Harbor Chart 12334 ­ New York Harbor Upper Bay and Narrows Anchorage Chart Booklet, the nation's chartmaker #12;United States ­ East Coast NEW YORK ­ NEW JERSEY NEW YORK HARBOR UPPER BAY.noaa.gov/WarOf1812. #12;Because of its importance as a hub of international commerce, New York City served several

  1. SEISMIC PERFORMANCE LIMITS OF THE SKYWAY PIERS FOR THE NEW EAST BAY SPANS

    E-Print Network [OSTI]

    Hines, Eric

    -based criteria both for a functional evaluation earthquake (FEE) and for a safety evaluation earthquake (SEE) [2 conducted both to verify immediately the safety of the existing Skyway design and to sharpen the fundamental]. The new San Francisco-Oakland Bay Bridge (SFOBB) East Bay Spans were designed according to performance

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Information Serbia-EnhancingEtGeorgia: Energy Resources Jump to:SearchWesley Hills, NewBabylon, NewBay

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

    E-Print Network [OSTI]

    Daya Bay Collaboration

    2014-11-28

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

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

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

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

    2015-02-01

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

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

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

    An, F. P.; Hackenburg, R. W.; Brown, R. E.; Chasman, C.; Dale, E.; Diwan, M. V.; Gill, R.; Hans, S.; Isvan, Z.; Jaffe, D. E.; et al

    2014-10-05

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

  6. Huntington Bay, New York: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas: Energy Resources JumpNewTexas: EnergyHunterdon County, NewHunting Valley,Bay, New

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View New PagesSustainableGlynnMassachusetts: Energy Resources Jump to:Maine:Hampton Bays, New York:

  8. Mission Bay, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland: Energy ResourcesDec 2005Minnehaha County,EnergyII Geothermal1980)Bay, Florida:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History ViewMayo, Maryland:NPIProtectio Program |View New Pages Recent ChangesEtPalmer, Massachusetts:Bay,

  10. East Bay Municipal Util Dist | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar2-0057-EA Jump to:of the NationalDynetek EuropeEPG| OpenEXLEasley CombinedBay

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LISTStar EnergyLawler, IowaScottsboro,Kansas (Utility Company) JumpBay, Wisconsin

  12. Bay County, Michigan: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources JumpBay

  13. Bay Harbor Islands, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources JumpBayHarbor Islands,

  14. Bay Head, New Jersey: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources JumpBayHarbor

  15. Bay Hill, Florida: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources JumpBayHarborHill,

  16. Coos Bay, Oregon: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)| Open(Evans, EtInformationRoofCooperCoopersville,theBay,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (UtilityInstruments Inc Jump to: navigation, searchCut and Shoot, Texas:Bay,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII Jump to: navigation, searchsource History ViewMoeOhio:LightNew Jersey:Morro Bay,

  19. BayWa Sunways JV | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX E LIST OFAMERICA'S FUTURE.EnergyWoodenDateSAEngineering LLCBarner InvestmentBayWa

  20. Wildlife Management Areas (Florida)

    Broader source: Energy.gov [DOE]

    Certain sites in Florida are designated as wildlife management areas, and construction and development is heavily restricted in these areas.

  1. User's guide for BAYES: a general-purpose computer code for fitting a functional form to experimental data

    SciTech Connect (OSTI)

    Larson, N M

    1982-08-01

    This report is intended as a user's manual for a general-purpose computer program BAYES to solve Bayes equations for updating parameter values, uncertainties, and correlations. Bayes equations are derived from Bayes theorem, using linearity and normality assumptions. The method of solution is described, and details are given for adapting the code for a specific purpose. Numerous examples are given, including problem description and solution method, FORTRAN coding, and sample input and output. A companion code LEAST, which solves the usual least-squares equations rather than Bayes equations but which encourages nondiagonal data weighting, is also described.

  2. An Improved Measurement of Electron Antineutrino Disappearance at Daya Bay

    E-Print Network [OSTI]

    David M. Webber; for the Daya Bay Collaboration

    2012-11-07

    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).

  3. Area Activation 1 Running Head: AREA ACTIVATION

    E-Print Network [OSTI]

    Pomplun, Marc

    Area Activation 1 Running Head: AREA ACTIVATION Advancing Area Activation towards a General Model at Boston 100 Morrissey Boulevard Boston, MA 02125-3393 USA Phone: 617-287-6485 Fax: 617-287-6433 e. Without great effort, human observers clearly outperform every current artificial vision system in tasks

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

    SciTech Connect (OSTI)

    Dallman, Ann Renee; Neary, Vincent Sinclair

    2014-10-01

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

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

    SciTech Connect (OSTI)

    Wang, Taiping; Yang, Zhaoqing; Khangaonkar, Tarang

    2010-04-22

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

  6. Nature, Science, Bayes' Theorem, and the Whole of Reality

    E-Print Network [OSTI]

    Alexanian, Moorad

    2015-01-01

    A fundamental problem in science is how to make logical inferences from scientific data. Mere data does not suffice since additional information is necessary to select a domain of models or hypotheses and thus determine the likelihood of each model or hypothesis. Thomas Bayes' Theorem relates the data and prior information to posterior probabilities associated with differing models or hypotheses and thus is useful in identifying the roles played by the known data and the assumed prior information when making inferences. Scientists, philosophers, and theologians accumulate knowledge when analyzing different aspects of reality and search for particular hypotheses or models to fit their respective subject matters. Of course, a main goal is then to integrate all kinds of knowledge into an all-encompassing worldview that would describe the whole of reality.

  7. Observation of electron-antineutrino disappearance at Daya Bay

    E-Print Network [OSTI]

    F. P. An; J. Z. Bai; A. B. Balantekin; H. R. Band; D. Beavis; W. Beriguete; M. Bishai; S. Blyth; K. Boddy; R. L. Brown; B. Cai; G. F. Cao; J. Cao; R. Carr; W. T. Chan; J. F. Chang; Y. Chang; C. Chasman; H. S. Chen; H. Y. Chen; S. J. Chen; S. M. Chen; X. C. Chen; X. H. Chen; X. S. Chen; Y. Chen; Y. X. Chen; J. J. Cherwinka; M. C. Chu; J. P. Cummings; Z. Y. Deng; Y. Y. Ding; M. V. Diwan; L. Dong; E. Draeger; X. F. Du; D. A. Dwyer; W. R. Edwards; S. R. Ely; S. D. Fang; J. Y. Fu; Z. W. Fu; L. Q. Ge; V. Ghazikhanian; R. L. Gill; J. Goett; M. Gonchar; G. H. Gong; H. Gong; Y. A. Gornushkin; L. S. Greenler; W. Q. Gu; M. Y. Guan; X. H. Guo; R. W. Hackenburg; R. L. Hahn; S. Hans; M. He; Q. He; W. S. He; K. M. Heeger; Y. K. Heng; P. Hinrichs; T. H. Ho; Y. K. Hor; Y. B. Hsiung; B. Z. Hu; T. Hu; T. Hu; H. X. Huang; H. Z. Huang; P. W. Huang; X. Huang; X. T. Huang; P. Huber; Z. Isvan; D. E. Jaffe; S. Jetter; X. L. Ji; X. P. Ji; H. J. Jiang; W. Q. Jiang; J. B. Jiao; R. A. Johnson; L. Kang; S. H. Kettell; M. Kramer; K. K. Kwan; M. W. Kwok; T. Kwok; C. Y. Lai; W. C. Lai; W. H. Lai; K. Lau; L. Lebanowski; J. Lee; M. K. P. Lee; R. Leitner; J. K. C. Leung; K. Y. Leung; C. A. Lewis; B. Li; F. Li; G. S. Li; J. Li; Q. J. Li; S. F. Li; W. D. Li; X. B. Li; X. N. Li; X. Q. Li; Y. Li; Z. B. Li; H. Liang; J. Liang; C. J. Lin; G. L. Lin; S. K. Lin; S. X. Lin; Y. C. Lin; J. J. Ling; J. M. Link; L. Littenberg; B. R. Littlejohn; B. J. Liu; C. Liu; D. W. Liu; H. Liu; J. C. Liu; J. L. Liu; S. Liu; X. Liu; Y. B. Liu; C. Lu; H. Q. Lu; A. Luk; K. B. Luk; T. Luo; X. L. Luo; L. H. Ma; Q. M. Ma; X. B. Ma; X. Y. Ma; Y. Q. Ma; B. Mayes; K. T. McDonald; M. C. McFarlane; R. D. McKeown; Y. Meng; D. Mohapatra; J. E. Morgan; Y. Nakajima; J. Napolitano; D. Naumov; I. Nemchenok; C. Newsom; H. Y. Ngai; W. K. Ngai; Y. B. Nie; Z. Ning; J. P. Ochoa-Ricoux; D. Oh; A. Olshevski; A. Pagac; S. Patton; C. Pearson; V. Pec; J. C. Peng; L. E. Piilonen; L. Pinsky; C. S. J. Pun; F. Z. Qi; M. Qi; X. Qian; N. Raper; R. Rosero; B. Roskovec; X. C. Ruan; B. Seilhan; B. B. Shao; K. Shih; H. Steiner; P. Stoler; G. X. Sun; J. L. Sun; Y. H. Tam; H. K. Tanaka; X. Tang; H. Themann; Y. Torun; S. Trentalange; O. Tsai; K. V. Tsang; R. H. M. Tsang; C. Tull; B. Viren; S. Virostek; V. Vorobel; C. H. Wang; L. S. Wang; L. Y. Wang; L. Z. Wang; M. Wang; N. Y. Wang; R. G. Wang; T. Wang; W. Wang; X. Wang; X. Wang; Y. F. Wang; Z. Wang; Z. Wang; Z. M. Wang; D. M. Webber; Y. D. Wei; L. J. Wen; D. L. Wenman; K. Whisnant; C. G. White; L. Whitehead; C. A. Whitten Jr.; J. Wilhelmi; T. Wise; H. C. Wong; H. L. H. Wong; J. Wong; E. T. Worcester; F. F. Wu; Q. Wu; D. M. Xia; S. T. Xiang; Q. Xiao; Z. Z. Xing; G. Xu; J. Xu; J. Xu; J. L. Xu; W. Xu; Y. Xu; T. Xue; C. G. Yang; L. Yang; M. Ye; M. Yeh; Y. S. Yeh; K. Yip; B. L. Young; Z. Y. Yu; L. Zhan; C. Zhang; F. H. Zhang; J. W. Zhang; Q. M. Zhang; K. Zhang; Q. X. Zhang; S. H. Zhang; Y. C. Zhang; Y. H. Zhang; Y. X. Zhang; Z. J. Zhang; Z. P. Zhang; Z. Y. Zhang; J. Zhao; Q. W. Zhao; Y. B. Zhao; L. Zheng; W. L. Zhong; L. Zhou; Z. Y. Zhou; H. L. Zhuang; J. H. Zou

    2012-04-02

    The Daya Bay Reactor Neutrino Experiment has measured a non-zero value for the neutrino mixing angle $\\theta_{13}$ with a significance of 5.2 standard deviations. Antineutrinos from six 2.9 GW$_{\\rm th}$ reactors were detected in six antineutrino detectors deployed in two near (flux-weighted baseline 470 m and 576 m) and one far (1648 m) underground experimental halls. With a 43,000 ton-GW_{\\rm th}-day livetime exposure in 55 days, 10416 (80376) electron antineutrino candidates were detected at the far hall (near halls). The ratio of the observed to expected number of antineutrinos at the far hall is $R=0.940\\pm 0.011({\\rm stat}) \\pm 0.004({\\rm syst})$. A rate-only analysis finds $\\sin^22\\theta_{13}=0.092\\pm 0.016({\\rm stat})\\pm0.005({\\rm syst})$ in a three-neutrino framework.

  8. Search for a Light Sterile Neutrino at Daya Bay

    E-Print Network [OSTI]

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

    2014-10-08

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

  9. Topographic and Base-level Control on Back-Barrier Lagoon Evolution: West Galveston Bay, TX 

    E-Print Network [OSTI]

    Laverty, Paul H

    2014-12-02

    that flow into Chocolate Bay, and formed the basal surface of the accommodation available for Holocene infill. Radiocarbon dating of salient lithologic and seismic transitions in a few key cores revealed that several flooding events related to Holocene sea...

  10. Review: Logistic regression, Gaussian nave Bayes, linear regression, and their connections

    E-Print Network [OSTI]

    Mitchell, Tom

    Review: Logistic regression, Gaussian naďve Bayes, linear regression, and their connections Yi, and feature selection #12;Outline Logistic regression Decision surface (boundary) of classifiers Generative vs. discriminative classifiers Linear regression Bias-variance decomposition and tradeoff

  11. Organic Matter Analysis of Sediments from Simpson Bay, Alaska using Elemental, Stable Isotopic, and Molecular Signatures 

    E-Print Network [OSTI]

    Pondell, Christina

    2008-08-19

    Sediment samples from Simpson Bay, Alaska were analyzed to determine the influence of earthquake events on the accumulated organic matter. Radiochemical analysis of 210Pb activity in the sediment dated the cores and determined the depths...

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

    E-Print Network [OSTI]

    Song, Junggeun

    1994-01-01

    The spatial trends in the oyster community and healthrelated variables for Galveston Bay oyster reefs indicated that some other factors in addition to salinity are major structuring forces. Three different directional trends were found including one...

  13. iSAM2: Incremental smoothing and mapping using the Bayes tree

    E-Print Network [OSTI]

    Kaess, Michael

    We present a novel data structure, the Bayes tree, that provides an algorithmic foundation enabling a better understanding of existing graphical model inference algorithms and their connection to sparse matrix factorization ...

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

    E-Print Network [OSTI]

    Stunz, Gregory Wayne

    1995-01-01

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

  15. Phosphorus Cycling in the Red Tide Incubator Region of Monterey Bay in Response to Upwelling

    E-Print Network [OSTI]

    Mackey, Katherine R. M; Mioni, Cecile E; Ryan, John P; Paytan, Adina

    2012-01-01

    of C. balechii from the RTI region of Monterey Bay differsThe red tide incubator (RTI) is a persistent feature ofspecies that incubate in the RTI may cause harmful effects

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

    E-Print Network [OSTI]

    Hawley, Patrick Emmett

    1994-01-01

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

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

    E-Print Network [OSTI]

    Albertson, Andrea Kai

    1998-01-01

    Five natural and ten created Spartina altemiflora marshes in the Lower Galveston Bay System, Texas, were compared to determine if there were significantly different vegetative and sediment characteristics associated with ...

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

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01

    Spit, which had absorbed much of the wave energy. Once theseharbor entrance deepened, wave energy came into the bay andand refocusing wave energy that, in turn, increases risk to

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

    SciTech Connect (OSTI)

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

    2014-05-28

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

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

    E-Print Network [OSTI]

    Gruner, Daniel S.

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

  1. Habitat associations and photo-identification of sea otters in Simpson Bay, Prince William Sound, Alaska 

    E-Print Network [OSTI]

    Gilkinson, Andrea Karin

    2006-04-12

    Habitat associations of sea otters during resting and feeding were investigated in Simpson Bay, Prince William Sound, Alaska during the summer months of 2001-2003. Sea otter locations collected during boat surveys were overlaid on bathymetry...

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

    E-Print Network [OSTI]

    Gilbert, Leslie Deanne

    2011-10-21

    Vibrio vulnificus (Vv) and V. parahaemolyticus (Vp) are gram negative, halophilic bacteria that occur naturally in estuarine waters of Galveston Bay. Both bacteria have the potential to cause infections in humans either via consumption or direct...

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

    SciTech Connect (OSTI)

    Andy Lacatell; David Shoch; Bill Stanley; Zoe Kant

    2007-03-01

    The Chesapeake Rivers conservation area encompasses approximately 2,000 square miles of agricultural and forest lands in four Virginia watersheds that drain to the Chesapeake Bay. Consulting a time series of classified Landsat imagery for the Chesapeake Rivers conservation area, the project team developed a GIS-based protocol for identifying agricultural lands that could be reforested, specifically agricultural lands that had been without forest since 1990. Subsequent filters were applied to the initial candidate reforestation sites, including individual sites > 100 acres and sites falling within TNC priority conservation areas. The same data were also used to produce an analysis of baseline changes in forest cover within the study period. The Nature Conservancy and the Virginia Department of Forestry identified three reforestation/management models: (1) hardwood planting to establish old-growth forest, (2) loblolly pine planting to establish working forest buffer with hardwood planting to establish an old-growth core, and (3) loblolly pine planting to establish a working forest. To assess the relative carbon sequestration potential of these different strategies, an accounting of carbon and total project costs was completed for each model. Reforestation/management models produced from 151 to 171 tons carbon dioxide equivalent per acre over 100 years, with present value costs of from $2.61 to $13.28 per ton carbon dioxide equivalent. The outcome of the financial analysis was especially sensitive to the land acquisition/conservation easement cost, which represented the most significant, and also most highly variable, single cost involved. The reforestation/management models explored all require a substantial upfront investment prior to the generation of carbon benefits. Specifically, high land values represent a significant barrier to reforestation projects in the study area, and it is precisely these economic constraints that demonstrate the economic additionality of any carbon benefits produced via reforestation--these are outcomes over and above what is currently possible given existing market opportunities. This is reflected and further substantiated in the results of the forest cover change analysis, which demonstrated a decline in area of land in forest use in the study area for the 1987/88-2001 period. The project team collected data necessary to identify sites for reforestation in the study area, environmental data for the determining site suitability for a range of reforestation alternatives and has identified and addressed potential leakage and additionality issues associated with implementing a carbon sequestration project in the Chesapeake Rivers Conservation Area. Furthermore, carbon emissions reductions generated would have strong potential for recognition in existing reporting systems such as the U.S. Department of Energy 1605(b) voluntary reporting requirements and the Chicago Climate Exchange. The study identified 384,398 acres on which reforestation activities could potentially be sited. Of these candidate sites, sites totaling 26,105 acres are an appropriate size for management (> 100 acres) and located in priority conservation areas identified by The Nature Conservancy. Total carbon sequestration potential of reforestation in the study area, realized over a 100 year timeframe, ranges from 58 to 66 million tons of carbon dioxide equivalent, and on the priority sites alone, potential for carbon sequestration approaches or exceeds 4 million tons of carbon dioxide equivalent. In the absence of concerted reforestation efforts, coupled with policy strategies, the region will likely face continued declines in forest land.

  4. 13 OctOber 2013 Mission Bay Conference Center, San Francisco, USA

    E-Print Network [OSTI]

    Kaski, Samuel

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

  5. An ecological study of an oyster population, including selected associated organisms in West Bay, Galveston, Texas 

    E-Print Network [OSTI]

    Gillard, Robert Moore

    1969-01-01

    AN ECOLOGICAL STUDY OF AN OYSTER POPULATION, INCLUDING SELECTED ASSOCIATED ORGANISMS IN WEST BAY, GALVESTON, TEXAS A Thesis ROBERT MOORE GILLARD Subri t ted to the Graduate College o f Texas ASM University in partia3 fulfillment... of the requiresent for the deBree c f MASTER OF SCIENCL' May 1969 Major Szhject: Ma iac Bio' ogy AN ECOLOGICAL STUDY OF AN OYSTER POPULATION, INCLUDING SELECTED ASSOCIATED ORGANISMS IN WEST BAY, GALVESTON, TEXAS A Thesis by ROBERT MOORE GILLARD Approved...

  6. BayeSED: A GENERAL APPROACH TO FITTING THE SPECTRAL ENERGY DISTRIBUTION OF GALAXIES

    SciTech Connect (OSTI)

    Han, Yunkun; Han, Zhanwen, E-mail: hanyk@ynao.ac.cn, E-mail: zhanwenhan@ynao.ac.cn [Yunnan Observatories, Chinese Academy of Sciences, Kunming, 650011 (China)

    2014-11-01

    We present a newly developed version of BayeSED, a general Bayesian approach to the spectral energy distribution (SED) fitting of galaxies. The new BayeSED code has been systematically tested on a mock sample of galaxies. The comparison between the estimated and input values of the parameters shows that BayeSED can recover the physical parameters of galaxies reasonably well. We then applied BayeSED to interpret the SEDs of a large K{sub s} -selected sample of galaxies in the COSMOS/UltraVISTA field with stellar population synthesis models. Using the new BayeSED code, a Bayesian model comparison of stellar population synthesis models has been performed for the first time. We found that the 2003 model by Bruzual and Charlot, statistically speaking, has greater Bayesian evidence than the 2005 model by Maraston for the K{sub s} -selected sample. In addition, while setting the stellar metallicity as a free parameter obviously increases the Bayesian evidence of both models, varying the initial mass function has a notable effect only on the Maraston model. Meanwhile, the physical parameters estimated with BayeSED are found to be generally consistent with those obtained using the popular grid-based FAST code, while the former parameters exhibit more natural distributions. Based on the estimated physical parameters of the galaxies in the sample, we qualitatively classified the galaxies in the sample into five populations that may represent galaxies at different evolution stages or in different environments. We conclude that BayeSED could be a reliable and powerful tool for investigating the formation and evolution of galaxies from the rich multi-wavelength observations currently available. A binary version of the BayeSED code parallelized with Message Passing Interface is publicly available at https://bitbucket.org/hanyk/bayesed.

  7. Unusual sedimentation of a Galveston Bay wetland at Pine Gully, Seabrook, Texas: implications for beach renourishment 

    E-Print Network [OSTI]

    Culver, Wesley Richard

    2009-06-02

    OF A GALVESTON BAY WETLAND AT PINE GULLY, SEABROOK, TEXAS: IMPLICATIONS FOR BEACH RENOURISHMENT A Thesis by WESLEY RICHARD CULVER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment... of the requirements for the degree of MASTER OF SCIENCE August 2007 Major Subject: Geology UNUSUAL SEDIMENTATION OF A GALVESTON BAY WETLAND AT PINE GULLY, SEABROOK, TEXAS: IMPLICATIONS FOR BEACH RENOURISHMENT A Thesis by WESLEY RICHARD CULVER...

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

    E-Print Network [OSTI]

    Mahmoud, Joey

    1996-01-01

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

  9. Monitoring and Modeling Non-Point Source Contributions of Host-Specific Fecal Contamination in San Pablo Bay

    E-Print Network [OSTI]

    Wuertz, Stefan; Bombardelli, Fabian A; Sirikanchana, Kwanrawee; Wang, Dan

    2009-01-01

    Host-Specific Fecal Contamination in San Pablo Bay Principlelivestock sources of fecal contamination in Kenya with host-Huang. Abstract Fecal contamination from non-point sources

  10. HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT

    SciTech Connect (OSTI)

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

    2012-12-30

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

  11. Improved Measurement of Electron Antineutrino Disappearance at Daya Bay

    E-Print Network [OSTI]

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

    2012-11-17

    We report an improved measurement of the neutrino mixing angle $\\theta_{13}$ from the Daya Bay Reactor Neutrino Experiment. We exclude a zero value for $\\sin^22\\theta_{13}$ with a significance of 7.7 standard deviations. Electron antineutrinos from six reactors of 2.9 GW$_{\\rm th}$ were detected in six antineutrino detectors deployed in two near (flux-weighted baselines of 470 m and 576 m) and one far (1648 m) underground experimental halls. Using 139 days of data, 28909 (205308) electron antineutrino candidates were detected at the far hall (near halls). The ratio of the observed to the expected number of antineutrinos assuming no oscillations at the far hall is $0.944\\pm 0.007({\\rm stat.}) \\pm 0.003({\\rm syst.})$. An analysis of the relative rates in six detectors finds $\\sin^22\\theta_{13}=0.089\\pm 0.010({\\rm stat.})\\pm0.005({\\rm syst.})$ in a three-neutrino framework.

  12. Deep porosity preservation in the Norphlet Formation, Mobil Bay, Alabama

    SciTech Connect (OSTI)

    Ajdukiewicz, J.M.; Paxton, S.T.; Szabvo, J.O. )

    1991-03-01

    Compaction and pressure solution have commonly been assumed to destroy primary intergranular porosity in deeply buried sandstones. However, primary porosities of up to 20% are preserved at depths greater than 20,000 feet in the Norphlet Formation of Mobile Bay. Previous workers have called upon a number of mechanisms to preserve these high porosities in the Norphlet, specifically chlorite rim cements, gas emplacement, overpressuring, and decementation. In contrast, our study of data from 23 Norphlet wells, including 450 thin sections, indicates that these suggested mechanisms are not the primary cause of porosity preservation in the Norphlet. The authors propose an alternative interpretation: that in the Norphlet, as in other well-sorted, ductile-grain-poor sandstones, porosity loss from compaction did not go to completion under reservoir (premetamorphic) conditions, but stabilized at depths of about 5,000-8,000 feet and porosity values of about 26%. Porosity loss below these values is due to cementation. For cementation to occur, both an adequate source of cement and geochemical conditions favoring cement precipitation must be present. Computer simulations of Norphlet burial history, including post-depositional fluid-flow patterns, suggest that conditions favorable to quartz cementation never occurred in the bulk of the Norphlet because of the formation's stratigraphic position and isolation from a basinward source of silica-saturated fluids.

  13. Unit 51 - GIS Application Areas

    E-Print Network [OSTI]

    Unit 51, CC in GIS; Cowen, David; Ferguson, Warren

    1990-01-01

    51 - GIS APPLICATION AREAS UNIT 51 - GIS APPLICATION AREAS1990 Page 1 Unit 51 - GIS Application Areas Computers inyour students. UNIT 51 - GIS APPLICATION AREAS Compiled with

  14. Many people and organizations are working together to ensure the Morro Bay ecosystem remains healthy: the San Luis Obispo Science and Ecosystem Alliance

    E-Print Network [OSTI]

    Hilderbrand, Robert H.

    healthy: the San Luis Obispo Science and Ecosystem Alliance (SLOSEA), the Morro Bay National Estuary were developed by members of the San Luis Obispo Science and Ecosystem Alliance, the Morro Bay National

  15. Humboldt Bay Initiative: Adaptive Management in a Changing World

    E-Print Network [OSTI]

    Schlosser, Susan

    2009-01-01

    atmospheric circulation and oceanic currents determine theCurrent system in the project area and north to Cape Blanco, Oregon, is diffuse and has highly variable oceanic

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  17. Seasonal dynamics of bacterial biomass and production in a coastal arctic ecosystem: Franklin Bay, western Canadian Arctic

    E-Print Network [OSTI]

    Vincent, Warwick F.

    Seasonal dynamics of bacterial biomass and production in a coastal arctic ecosystem: Franklin Bay 2008. [1] The Canadian Arctic Shelf Exchange Study (CASES) included the overwintering deployment biomass and production in a coastal arctic ecosystem: Franklin Bay, western Canadian Arctic, J. Geophys

  18. Impacts of Radioactive 137Cs on Marine Bacterioplankton: Effects of the Fukushima Disaster on Hawaii's Kaneohe Bay Bacterial Communities

    E-Print Network [OSTI]

    Heller, Paul

    Impacts of Radioactive 137Cs on Marine Bacterioplankton: Effects of the Fukushima Disaster such catastrophe, a tsunami off the coast of Japan, occurred on March 11, 2011. The tsunami caused the Fukushima on the bacterioplankton community of Kaneohe Bay in Oahu, Hawaii. The bay is in the direct path of Fukushima's radioactive

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

    E-Print Network [OSTI]

    Marquez, Carmen M

    1995-01-01

    on the eastern side of St. John. Coral Bay was the principal port of St. John until 1733, when a major slave insurrection occurred, and the population moved west toward Cruz Bay, a primary anchorage for interisland and transoceanic vessels during the 18th and 19...

  20. Sanders, J. E.; Merguerian, Charles; and Okulewicz, S. C., 1995b, Recumbent fold in displaced slab of Upper Cretaceous sediments, Princes Bay, Staten Island, New York

    E-Print Network [OSTI]

    Merguerian, Charles

    of Upper Cretaceous sediments, Princes Bay, Staten Island, New York: further evidence that ice flowing Program with Abstracts, 135 p. RECUMBENT FOLD IN DISPLACED SLAB OF UPPER CRETACEOUS SEDIMENTS, PRINCES BAY the navigation tower along the shores of Princes Bay, Staten Island, [UTM grid coordinates 566.70E, 4484.20N

  1. Independent measurement of the neutrino mixing angle ?13 via neutron capture on hydrogen at Daya Bay

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

    Jaffe, D. E.

    2014-10-03

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

  2. Transit-Based Smart Parking in the U.S.: Behavioral Analysis of San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan

    2006-01-01

    and A. Johnston. Real Time Parking Management dor TransitSmirti 13. Willson, R. Parking Pricing Without Tears: TripP. H. L. Bovy. A Dynamic Parking Reservation System for City

  3. Smart Parking Linked to Transit: Lessons Learned from the Field Test in San Francisco Bay Area of California

    E-Print Network [OSTI]

    Shaheen, Susan; Kemmerer, Charlene

    2008-01-01

    transit) and complements (i.e. parking services) for cars asCar commute cost (incl. parking) Non-car commute cost CarCar commute cost (incl. parking) Non-car commute cost Car

  4. Applying Integrated ITS Technologies to Parking Management Systems: A Transit-Based Case Study in the San Francisco Bay Area

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan A.; Eaken, Amanda M.

    2004-01-01

    model of the effects of parking guidance systems. 7 th WCTRDriver’s response to parking information systems: empirical1997). Drivers’ response to parking guidance and information

  5. Applying Integrated ITS Technologies to Parking Management Systems: A Transit-Based Case Study in the San Francisco Bay Area

    E-Print Network [OSTI]

    Shaheen, Susan; Rodier, Caroline J.; Eaken, Amanda M.

    2004-01-01

    14) Willson, R. (1997). Parking Pricing Without Tears: TripH. L. (1996). A dynamic parking reservation system for city1997). Drivers’ response to parking guidance and information

  6. Transit-Based Smart Parking in the San Francisco Bay Area: an Assessment of User Demand and Behavioral Effects

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan A.; Eaken, Amanda M.

    2004-01-01

    J.C. Kopp (2000). Real-time parking management systems formanagement: more than just parking. Traffic Technologyand Okuda, T. (1996). Smart parking in Toyota’s Motown. ITS:

  7. The effects of power plant effluents on the growth of phytoplankton in adjacent areas of Trinity Bay 

    E-Print Network [OSTI]

    Mullins, Henry Lloyd

    1979-01-01

    ch rn trt tn 40 w 0 N w w cl co co col co co co cD co r tQ co I I ao co co co ao ao ul ml ul o o 0 ul ul an an arl an an o 0 ul o 0 D I N DN MN CIN Ch lflI chN trl DN co IQ co co co co co co m IQ r I I I co co f co co CI 0 ul an an a an m ul 0... 0 H ac 0 IJ ) Cl 4 0 0 $ al 0 ttl 0 ttt 0 0 0 aa rJ 0 Ql ta 0 O 0 Oaaar ~&~~~&utaeaar 000 W Cj ttl'0 JJ 0 mZ 33 stations 3 and 4 were 18. 3 and 17. 5 mg Chla/m s, respectively, whereas values for stations 1 and 2 were 10. 6 and 10. 8 mg Chla...

  8. Cost per-User as Key Factor in Project Prioritization: A Case Study of the San Francisco Bay Area

    E-Print Network [OSTI]

    Nuworsoo, Cornelius; Parks, Kamala; Deakin, Elizabeth

    2006-01-01

    However. few agencies conduct a full CBA; rulbcr. they havemethodologies that use CBA concepts but focus on projectrelatively few agencies use CBA to prioritize projects,

  9. The Potential of Using Transit Infrastructure for Air Freight Movement: A Case Study in the Bay Area

    E-Print Network [OSTI]

    Wang, Rui; Lu, Xiao-Yun; Sivakumaran, Karthik

    2010-01-01

    of dedicated freight lift for accessing BART aerial station(freight lift for accessing BART aerial station(s) Height(

  10. Transit-Based Smart Parking in the U.S.: Behavioral Analysis of San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan

    2006-01-01

    smart parking at Rockridge BART station from another station closer to or farther from home (smart parking instead of driving to a BART station that was closer to or farther from their home.home and work zip codes. TABLE 7 Change in Vehicle Miles Traveled with Smart

  11. Transit-Based Smart Parking in the U.S.: Behavioral Analysis of San Francisco Bay Area Field Test

    E-Print Network [OSTI]

    Rodier, Caroline J.; Shaheen, Susan

    2006-01-01

    A. Eaken. Transit-Based Smart Parking in the San FranciscoCommunity College Parking Smart Card Trailblazer. TheTRANSIT-BASED SMART PARKING IN THE U.S. : BEHAVIORAL

  12. The distribution and relative abundance of Nematopsis spp., as found in Crassostrea virginica (Gmelin) in the Galveston Bay area 

    E-Print Network [OSTI]

    Anderson, Roger Dean

    1969-01-01

    the pathogenicity of N, ostrearum in the host oyster with inconclusive results. Thus, he attributed deaths of oysters to an unknown factor. This was clarified when Mackin, Owen and Collier (1950) described Dermo- t'd ', k L bvbh-, . . . ::. (V Owen and Collier...) Mackin and Ray (1966). This organism has been convincingly shown to play a major role in the loss of condition and death of oysters (Mackin et al. , 1950; lvIackin, 1953; Ray, 1954a, 1954b, 1954c). It is now known that L. marina can be found at both...

  13. The Potential of Using Transit Infrastructure for Air Freight Movement: A Case Study in the Bay Area

    E-Print Network [OSTI]

    Wang, Rui; Lu, Xiao-Yun; Sivakumaran, Karthik

    2010-01-01

    Organic VOC VOC+Nox CO2 Health cost: derived from the valueCO2 Emission for Different Alternatives; Emission Reduction Can be Inferred Accordingly. CostCO2 Emission for Different Alternatives. .20 Figure 3-6. FedEx Cost

  14. The Potential of Using Transit Infrastructure for Air Freight Movement: A Case Study in the Bay Area

    E-Print Network [OSTI]

    Wang, Rui; Lu, Xiao-Yun; Sivakumaran, Karthik

    2010-01-01

    BART car and the truck; (a) without a platform in between; (b) with a platform in between truck and BART car Solution 1.platform needs to be built to link the BART car and the

  15. Redundancy in Public Transit - Vol III. The Political Economy of Transit in the San Francisco Bay Area, 1945-63

    E-Print Network [OSTI]

    Seymour Adler

    1980-01-01

    Peaks Tunnel and also to serve the planned Golden Gateway onPeaks Tunnel at one end and to the Golden Gateway project at

  16. The Potential of Using Transit Infrastructure for Air Freight Movement: A Case Study in the Bay Area

    E-Print Network [OSTI]

    Wang, Rui; Lu, Xiao-Yun; Sivakumaran, Karthik

    2010-01-01

    17 Table 5-1. Energy Resources and EfficiencyTable 5-1. Energy Resources and Efficiency Factors BARTRenewable Fossil Fuel Energy Efficiency Resource Source: the

  17. Placing Refuge: Shell Mounds and the Archaeology of Colonial Encounters in the San Francisco Bay Area, California

    E-Print Network [OSTI]

    Schneider, Tsim Duncan

    2010-01-01

    13(4):287-297. Trieu Gahr, D. Ann 2006 From Architects toElizabeth Sobel, D. Ann Trieu Gahr, and Kenneth M. Ames, pp.averages about 20 years (Trieu Gahr 2006:72). An equivalent

  18. Placing Refuge: Shell Mounds and the Archaeology of Colonial Encounters in the San Francisco Bay Area, California

    E-Print Network [OSTI]

    Schneider, Tsim Duncan

    2010-01-01

    Figure 5.10. Select bullet cartridge casings. Calibers fromCaliber Maker Federal Cartridge Corp. Imperial Chemicalin arrow) Omark/Cascade Cartridges Inc. Remington Arms Co. ,

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

    E-Print Network [OSTI]

    Volberding, Peter

    2011-01-01

    Buderi, Robert. “Cleantech Venture Investment Soared inChina Stimulus Package and Cleantech. US-China Green EnergyIbid. , 52-53. Buderi, “Cleantech Venture Investment Soared

  20. hen the first live eastern oysters came to the Bay Area by train in the late 1800s,Victorian-

    E-Print Network [OSTI]

    and their love of trendy food, would-be oyster farmers followed, hoping to raise their imported shellfish-tank vacuum to see what's living at the site-- part of the Boyer lab's regular monitoring of the reefs

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

    E-Print Network [OSTI]

    Volberding, Peter

    2011-01-01

    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

  2. Return of North American River Otters, Lontra canadensis, to Coastal Habitats of the San Francisco Bay Area, California

    E-Print Network [OSTI]

    Bouley, Paola

    2015-01-01

    Otter monitoring by citizen science volunteers in northernyears. Utilizing a citizen-science network paired with fieldaquatic carnivore, citizen science, ecosystem restoration,

  3. Site Monitoring Area Maps

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

    and roads The spatial location and boundaries for each Site shown on the Site Monitoring Area maps originate from activities conducted under the Compliance Order on Consent with...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 1 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS 1 Se Bryant Freeman...

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

    E-Print Network [OSTI]

    Shenton, Edward Heriot

    1957-01-01

    A STUDY OF THE FORAMINIFERA AND SEDIMENTS OF MATAGORDA BAY& TEXAS ahg C0 L ( /SF OP FF QS A Thesis By Edward Heriot Shenton Submitted to the Graduate School of the Agricultural and Mechanical College of Texas in partial fulfilhaent... of the requirements for the degree of MASTER OF SCIENCE May, 1957 MaJor SubJect: Oceanography A STUDY OF THE FORAMINIFEBA AND SEDIMEETS OF MATAGOBDA BAY, TEXAS A Thesis By Edward Heriot Shenton Approved as to style and content by; Chairman of Couu~it e Head...

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

    E-Print Network [OSTI]

    Boslet, Jane Murray

    1989-01-01

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

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

    SciTech Connect (OSTI)

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

    2011-11-01

    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.

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoos Bay OPTHalf Moon CoveHydroKachemak Bay

  9. Geothermal br Resource br Area Geothermal br Resource br Area...

    Open Energy Info (EERE)

    Area Central Nevada Seismic Zone Pull Apart in Strike Slip Fault Zone Ordovician shale quartzite MW K Blue Mountain Geothermal Area Blue Mountain Geothermal Area Northwest...

  10. Neutron Science Research Areas | ORNL

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

    Home | Science & Discovery | Neutron Science | Research Areas SHARE Research Areas Neutron scattering research at ORNL covers four broad research areas: biology and soft...

  11. Glacial and nonglacial events in the eastern James Bay lowlands, Canada

    E-Print Network [OSTI]

    and dating nonglacial deposits in sedimentary sequences east of James Bay. Our investigations indicate that the regional stratigraphy comprises at least five distinct tills and an important unit of glaciola- custrine rhythmites. This glacial sequence lies on massive lacustrine clay and fluvial sand containing abundant

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

    E-Print Network [OSTI]

    Simulation of Estuarine Flooding and Dewatering with Application to Great Bay, New Hampshire Justin T. C. Ip, Daniel R. Lynch Dartmouth College, Hanover, New Hampshire, 03755, U.S.A. Carl T, New Hamp­ shire estuary system are presented. The model incorporate two­dimensional kinematic wave

  13. Modeling tidal flow in the Great Bay Estuary, New Hampshire, using a depth averaged

    E-Print Network [OSTI]

    Modeling tidal flow in the Great Bay Estuary, New Hampshire, using a depth averaged flooding, University of New Hampshire, USA. 2 Numerical Methods Lab., Dartmouth College, USA. 3 Ocean Process Analysis Lab., University of New Hampshire, USA. Abstract Current, sea level and bed load transport

  14. Simulation of the Great Bay Estuarine System: Tides with Tidal Flats Wetting and Drying

    E-Print Network [OSTI]

    , S.N. Erturk, M.R. Swift, W.S. Brown, B. Celikkol University of New Hampshire, Durham, New Hampshire, 03824, U.S.A. J.T.C. Ip, D.R. Lynch Dartmouth College, Hanover, New Hampshire, 03755, U.S.A. January 2 2 tide, Great Bay Estuarine System, New Hampshire coast. #12; 2 Simulation of the GBES 1

  15. Simulation of the Great Bay Estuarine System: Tides with Tidal Flats Wetting and Drying

    E-Print Network [OSTI]

    , A. Bilgili , M.R. Swift, W.S. Brown, B. Celikkol University of New Hampshire, Durham, New Hampshire, 03824, U.S.A. J.T.C. Ip, D.R. Lynch Dartmouth College, Hanover, New Hampshire, 03755, U.S.A. February 27 2 tide, Great Bay Estuarine System, New Hampshire coast. #12; 2 Simulation of the GBES 1

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

    E-Print Network [OSTI]

    Oakley, Jeremy

    of the input parameters for a reservoir model. Therefore, an uncertainty analysis for the model often proceedsBayes Linear Uncertainty Analysis for Oil Reservoirs Based on Multiscale Computer Experiments for the efficient management of the reservoir. In a Bayesian analysis, all of our uncertainties are incorporated

  17. Spatial analysis of air pollution and cancer incidence rates in Haifa Bay, Israel Ori Eitan a

    E-Print Network [OSTI]

    Spatial analysis of air pollution and cancer incidence rates in Haifa Bay, Israel Ori Eitan with historically high air pollution levels. This work tests whether persistent spatial patterns of metrics of chronic exposure to air pollutants are associated with the observed patterns of cancer incidence rates

  18. Are You Polluting Our Lakes and Streams and the Chesapeake Bay?

    E-Print Network [OSTI]

    Hill, Wendell T.

    1 Are You Polluting Our Lakes and Streams and the Chesapeake Bay? Pet waste left to decay, and rivers. They include the following: · Pesticides · Household chemicals · Fertilizers · Oil and antifreeze · Pet waste When pet waste is washed into lakes or streams, the waste decays, using up oxygen

  19. Posterior Probability Estimation Techniques Embedded in a Bayes Filter for Vibration-based

    E-Print Network [OSTI]

    Zell, Andreas

    Posterior Probability Estimation Techniques Embedded in a Bayes Filter for Vibration-based Terrain Classification Philippe Komma and Andreas Zell Abstract Vibration signals acquired during robot traversal provide] or ladar sensors [15, 10] can be employed. Recently, several researchers considered vehicle vibrations

  20. Attachment B: Jamaica Bay Watershed Protection Plan Update 1. WATER QUALITY

    E-Print Network [OSTI]

    Columbia University

    Bay. Ongoing NYCDEP continues to limit shipments. NA NA DEP See attached status report. Upgrade will accommodate daily transshipments instead of a few times a week to ensure all Jamaica sludge is treated via excess algae and sea lettuce to reduce nitrogen and produce biodiesel fuels. Design anticipated to begin

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

    E-Print Network [OSTI]

    Nekton of New Seagrass Habitats Colonizing a Subsided Salt Marsh in Galveston Bay, Texas SETH P Delwood Beach Road, Panama City, Florida 32408 ABSTRACT: Subsidence and erosion of intertidal salt marsh on this system is the extrac- tion of subsurface oil, gas, and water resources that has caused land subsidence

  2. Space Use by Forster's Terns Breeding in South San Francisco Bay JILL BLUSO-DEMERS

    E-Print Network [OSTI]

    Colwell, Mark

    , sex- specific foraging behaviors among seabirds with negligible sexual size dimorphism (i that differ- ences reported in sexually dimorphic species are not mediated exclusively by differences in body 95616 4 Current address: San Francisco Bay Bird Observatory, 524 Valley Way, Milpitas, CA 95035 Internet

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

    E-Print Network [OSTI]

    Offshore wind resources from satellite SAR Charlotte Bay Hasager, Merete Bruun Christiansen, Morten Nielsen, Risoe National Laboratory, Wind Energy Department, DTU, Frederiksborgvej 399, 4000 Roskilde-real-time calculated to wind maps using CMOD functions using the ANSWRS software from the Johns Hopkins University

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

    E-Print Network [OSTI]

    - 21 - Coastal Wind Mapping from Satellite SAR: Possibilities and Limitations Charlotte Bay Hasager and Merete Bruun Christiansen Risř National Laboratory, Wind Energy Department, Meteorology Program, VEA-118 Abstract Satellite remote sensing of ocean wind fields from Synthetic Aperture Radar (SAR) observations

  5. Impact of tropical cyclones on the ocean heat budget in the Bay of Bengal during 1999

    E-Print Network [OSTI]

    Han, Weiqing

    ­November in 1999 on the Bay of Bengal (BoB) heat budget are examined using the Hybrid Coordinate Ocean Model estimates using previously published methods based on surface observations. The relatively weak heat pumping pumping (DOHP) by tropical cyclones (TCs), which mea- sures the amount of heat that is pumped down from

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

    E-Print Network [OSTI]

    Yifang Wang

    2006-10-09

    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.

  7. The Circulation of Tampa Bay Driven by Buoyancy, Tides and Winds, as Simulated

    E-Print Network [OSTI]

    Meyers, Steven D.

    1 The Circulation of Tampa Bay Driven by Buoyancy, Tides and Winds, as Simulated using a Finite by rivers, tides and winds. Because of a mean wind velocity vector directed down the estuary axis we ran a parallel model experiment without winds to distinguish the estuarine circulation by gravitational

  8. Using A Bayes Classifier to Draw the First Down Line on a Football Field

    E-Print Network [OSTI]

    Schwartz, Eric M.

    Using A Bayes Classifier to Draw the First Down Line on a Football Field Jeremy Anderson, Dr a line on an image of a football field without marking on the players. This project was motivated by Sport Vision, developers of the first down indicator used for television broadcasts of football games

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

    E-Print Network [OSTI]

    Gilbes, Fernando

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

  10. Bayes and Big Data: The Consensus Monte Carlo Algorithm Steven L. Scott1

    E-Print Network [OSTI]

    Cortes, Corinna

    Bayes and Big Data: The Consensus Monte Carlo Algorithm Steven L. Scott1 , Alexander W. Blocker1 of Business October 31, 2013 Abstract A useful definition of "big data" is data that is too big to comfortably by splitting data across multiple machines. Communication between large numbers of machines is expensive

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

    E-Print Network [OSTI]

    Baca, Michael William

    1998-01-01

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

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

    E-Print Network [OSTI]

    Boss, Emmanuel S.

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

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01

    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.

  14. On the fluctuations and vertical structure of the shelf circulation off Walvis Bay, Namibia.

    E-Print Network [OSTI]

    Mohrholz, Volker

    20nm off Walvis Bay, Namibia. Spatial and temporal variations of the wind field in the South East Atlantic were investigated by 3-day averaged wind fields measured by the QuikSCAT satellite. The local wind was provided by a time series of hourly wind vectors measured on a moored buoy off Swakopmund. The significant

  15. Chapter 24: Variational Bayes W. Penny, S. Kiebel and K. Friston

    E-Print Network [OSTI]

    Penny, Will

    Chapter 24: Variational Bayes W. Penny, S. Kiebel and K. Friston May 9, 2006 Introduction Bayesian and Bishop 2005]. It is now also widely used in the analysis of neuroimag- ing data [Penny et al. 2003, Woolrich 2004, Sato et al. 2004, Sahani and Nagarajan 2004, Penny et al. 2005, Friston et al. 2006

  16. Sand and mud deposited by Hurricane Katrina on Deer Island, Biloxi Bay, Mississippi

    E-Print Network [OSTI]

    Winglee, Robert M.

    Sand and mud deposited by Hurricane Katrina on Deer Island, Biloxi Bay, Mississippi Annaliese A University of Washington Department of Earth and Space Sciences #12;Sand and mud deposited by Hurricane ................................................................................................................. 14 ABSTRACT Hurricane Katrina overwash berms on both sides of Deer Island, Mississippi, include sub

  17. Geographic Area Month

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Fuels by PAD District and State (Cents per Gallon Excluding Taxes) - Continued Geographic Area Month No. 1 Distillate No. 2 Distillate a No. 4 Fuel b Sales to End Users Sales for...

  18. Decontamination & decommissioning focus area

    SciTech Connect (OSTI)

    1996-08-01

    In January 1994, the US Department of Energy Office of Environmental Management (DOE EM) formally introduced its new approach to managing DOE`s environmental research and technology development activities. The goal of the new approach is to conduct research and development in critical areas of interest to DOE, utilizing the best talent in the Department and in the national science community. To facilitate this solutions-oriented approach, the Office of Science and Technology (EM-50, formerly the Office of Technology Development) formed five Focus AReas to stimulate the required basic research, development, and demonstration efforts to seek new, innovative cleanup methods. In February 1995, EM-50 selected the DOE Morgantown Energy Technology Center (METC) to lead implementation of one of these Focus Areas: the Decontamination and Decommissioning (D & D) Focus Area.

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

    SciTech Connect (OSTI)

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

    2012-05-01

    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.

  20. 300 Area Disturbance Report

    SciTech Connect (OSTI)

    LL Hale; MK Wright; NA Cadoret

    1999-01-07

    The objective of this study was to define areas of previous disturbance in the 300 Area of the U.S. Department of Energy (DOE) Hanford Site to eliminate these areas from the cultural resource review process, reduce cultural resource monitoring costs, and allow cultural resource specialists to focus on areas where subsurface disturbance is minimal or nonexistent. Research into available sources suggests that impacts from excavations have been significant wherever the following construction activities have occurred: building basements and pits, waste ponds, burial grounds, trenches, installation of subsurface pipelines, power poles, water hydrants, and well construction. Beyond the areas just mentioned, substrates in the' 300 Area consist of a complex, multidimen- sional mosaic composed of undisturbed stratigraphy, backfill, and disturbed sediments; Four Geographic Information System (GIS) maps were created to display known areas of disturbance in the 300 Area. These maps contain information gleaned from a variety of sources, but the primary sources include the Hanford GIS database system, engineer drawings, and historic maps. In addition to these maps, several assumptions can be made about areas of disturbance in the 300 Area as a result of this study: o o Buried pipelines are not always located where they are mapped. As a result, cultural resource monitors or specialists should not depend on maps depicting subsurface pipelines for accurate locations of previous disturbance. Temporary roads built in the early 1940s were placed on layers of sand and gravel 8 to 12 in. thick. Given this information, it is likely that substrates beneath these early roads are only minimally disturbed. Building foundations ranged from concrete slabs no more than 6 to 8 in. thick to deeply excavated pits and basements. Buildings constructed with slab foundations are more numerous than may be expected, and minimally disturbed substrates may be expected in these locations. Historic black and white photographs provide a partial record of some excavations, including trenches, building basements, and material lay-down yards. Estimates of excavation depth and width can be made, but these estimates are not accurate enough to pinpoint the exact location where the disturbedhmdisturbed interface is located (e.g., camera angles were such that depths and/or widths of excavations could not be accurately determined or estimated). In spite of these limitations, these photographs provide essential information. Aerial and historic low-level photographs have captured what appears to be backfill throughout much of the eastern portion of the 300 Area-near the Columbia River shoreline. This layer of fill has likely afforded some protection for the natural landscape buried beneath the fill. This assumption fits nicely with the intermittent and inadvertent discoveries of hearths and stone tools documented through the years in this part of the 300 Area. Conversely, leveling of sand dunes appears to be substantial in the northwestern portion of the 300 Area during the early stages of development. o Project files and engineer drawings do not contain information on any impromptu but necessary adjustments made on the ground during project implementation-after the design phase. Further, many projects are planned and mapped but never implemented-this information is also not often placed in project files. Specific recommendations for a 300 Area cultural resource monitoring strategy are contained in the final section of this document. In general, it is recommended that monitoring continue for all projects located within 400 m of the Columbia River. The 400-m zone is culturally sensitive and likely retains some of the most intact buried substrates in the 300 Area.

  1. Center for High Technology Materials Photolithography Bay Operating Procedure

    E-Print Network [OSTI]

    New Mexico, University of

    of changes will be via e-mail and will be posted on the white board in the gowning area of the cleanroom and proper manner. Unsafe or improper operation of the equipment affects all cleanroom users even if they do

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

    E-Print Network [OSTI]

    Cook, Gregory D.

    1997-01-01

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

  3. Development of a decadal-scale estuarine geomorphic model for Suisun Bay, California: calibration, validation, and idealized time-stepping

    E-Print Network [OSTI]

    Ganju, Neil K; Schoellhamer, David H; Younis, Bassam A

    2006-01-01

    summer cause wind-wave resuspension of bottom sediment inflow, tidal energy, wind-wave resuspension in San Pablo Bay.flow and wind-wave resuspension was superimposed on a

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

    E-Print Network [OSTI]

    McCreery, Helen F

    2007-01-01

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

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

    E-Print Network [OSTI]

    Hyatt, Jason

    2006-01-01

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

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

    E-Print Network [OSTI]

    Islam, Mohammad S.

    2010-07-14

    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...

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

    E-Print Network [OSTI]

    Pettijohn, Burkely Ashton

    2014-02-10

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

  8. Seasonal variation of diatoms and dinoflagellates in Monterey Bay, CA determined by Chemtax alanysis of HPLC pigment data

    E-Print Network [OSTI]

    Keating, Kelene

    2013-01-01

    and Benguela), Vol. 1. Garrison, D.L. (1976). ContributionFishery Bulletin 74,183-194. Garrison, D.L. (1979). MontereyResearch 1, 241–265. Garrison, D.L. (1981). Monterey Bay

  9. Nitrification in the euphotic zone as evidenced by nitrate dual isotopic composition: Observations from Monterey Bay, California

    E-Print Network [OSTI]

    Pennington, J. Timothy

    from Monterey Bay, California Scott D. Wankel,1,2,3 Carol Kendall,4 J. Timothy Pennington,5 Francisco P, and NO3 Ŕ assimilation in marine environments. Citation: Wankel, S. D., C. Kendall, J. T. Pennington, F

  10. COMPARISON OF THE FATE OF DISSOLVED ORGANIC MATTER IN TWO COASTAL SYSTEMS: HOG ISLAND BAY, VA (USA)

    E-Print Network [OSTI]

    Lawrence, Deborah

    COMPARISON OF THE FATE OF DISSOLVED ORGANIC MATTER IN TWO COASTAL SYSTEMS: HOG ISLAND BAY, VA (USA) AND PLUM ISLAND SOUND, MA (USA) A Thesis Presented to The Faculty of the School of Marine Science............................... 55 DISCUSSION ................................................................... 57 Plum Island

  11. OLED area illumination source

    DOE Patents [OSTI]

    Foust, Donald Franklin (Scotia, NY); Duggal, Anil Raj (Niskayuna, NY); Shiang, Joseph John (Niskayuna, NY); Nealon, William Francis (Gloversville, NY); Bortscheller, Jacob Charles (Clifton Park, NY)

    2008-03-25

    The present invention relates to an area illumination light source comprising a plurality of individual OLED panels. The individual OLED panels are configured in a physically modular fashion. Each OLED panel comprising a plurality of OLED devices. Each OLED panel comprises a first electrode and a second electrode such that the power being supplied to each individual OLED panel may be varied independently. A power supply unit capable of delivering varying levels of voltage simultaneously to the first and second electrodes of each of the individual OLED panels is also provided. The area illumination light source also comprises a mount within which the OLED panels are arrayed.

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

    E-Print Network [OSTI]

    Craig, M. Alison

    1985-01-01

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

  13. Plutonium focus area

    SciTech Connect (OSTI)

    NONE

    1996-08-01

    To ensure research and development programs focus on the most pressing environmental restoration and waste management problems at the U.S. Department of Energy (DOE), the Assistant Secretary for the Office of Environmental Management (EM) established a working group in August 1993 to implement a new approach to research and technology development. As part of this new approach, EM developed a management structure and principles that led to the creation of specific Focus Areas. These organizations were designed to focus the scientific and technical talent throughout DOE and the national scientific community on the major environmental restoration and waste management problems facing DOE. The Focus Area approach provides the framework for intersite cooperation and leveraging of resources on common problems. After the original establishment of five major Focus Areas within the Office of Technology Development (EM-50, now called the Office of Science and Technology), the Nuclear Materials Stabilization Task Group (EM-66) followed the structure already in place in EM-50 and chartered the Plutonium Focus Area (PFA). The following information outlines the scope and mission of the EM, EM-60, and EM-66 organizations as related to the PFA organizational structure.

  14. Subsurface contaminants focus area

    SciTech Connect (OSTI)

    1996-08-01

    The US Department of Enregy (DOE) Subsurface Contaminants Focus Area is developing technologies to address environmental problems associated with hazardous and radioactive contaminants in soil and groundwater that exist throughout the DOE complex, including radionuclides, heavy metals; and dense non-aqueous phase liquids (DNAPLs). More than 5,700 known DOE groundwater plumes have contaminated over 600 billion gallons of water and 200 million cubic meters of soil. Migration of these plumes threatens local and regional water sources, and in some cases has already adversely impacted off-site rsources. In addition, the Subsurface Contaminants Focus Area is responsible for supplying technologies for the remediation of numerous landfills at DOE facilities. These landfills are estimated to contain over 3 million cubic meters of radioactive and hazardous buried Technology developed within this specialty area will provide efective methods to contain contaminant plumes and new or alternative technologies for development of in situ technologies to minimize waste disposal costs and potential worker exposure by treating plumes in place. While addressing contaminant plumes emanating from DOE landfills, the Subsurface Contaminants Focus Area is also working to develop new or alternative technologies for the in situ stabilization, and nonintrusive characterization of these disposal sites.

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

    E-Print Network [OSTI]

    Matlock, Gary C

    1972-01-01

    Conversion Equaoion Hyd!oiogical Nlothods SVater Temperature D is so lvecl 0 xygen 4 3 Conductivity (Salinity) /I 6 Hy!1! ogen-Ion ConcentraUon (pH) Turoldity TABLE OF CONTENTS (continued) ~Pa e LIFE HISTORy 47 Anchoa mitchilli R I' 2t...!ocembcr 1971 (sec '1'abl, 8, p ges 6Z nnd 63 for ex;&h&nation of hearlincs a!'d vn! bols) 65 RankI!&g of yca! s for: ach an. ". 1 (T:!bj&s Bay, Cedar B!'" u, und T;ini ~y Bay) r!n L!! . b!'!'s o( co!!dlt'on 7' LIST QF TABLE:S (continued) Table of anchovy...

  16. Recent applications of coiled tubing in remedial wellwork at Prudhoe Bay

    SciTech Connect (OSTI)

    Loveland, K.R.; Bond, A.J.

    1996-12-31

    The vast number of wells and unique operating conditions in Alaska`s Prudhoe Bay field have presented many opportunities for those involved in remedial wellwork. Among the technologies that have either been pioneered, tested, or applied there, coiled tubing (CT) ranks as one of the most long lasting and widely used. This paper highlights the more recent applications of CT in the field. The paper begins with a brief overview of the Prudhoe Bay Unit`s (PBU) CT wellwork program and then follows with discussions on eight CT applications that have been developed or expanded in the last two years. Some are new technology and others are old techniques with a new design. Descriptions and procedures are given for each in addition to performance results thus far.

  17. Discovery Bay, California: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTIONRobertsdale, Alabama (UtilityInstrumentsArea (DOE GTP) JumpDillard(Kauahikaua(Pritchett, 2004)

  18. 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]

    Taylor, Christina Claudette

    2008-10-10

    for each of the quads (ex. Cove_95). The projection and coordinate system for a layer image were set during layer creation. A habitat field was added to the attribute table of each quad layer to allow classification by habitat based on the Cowardin...………………………... ..................................................... 25 6 Changes in the Trinity Bay portion of Galveston Bay Estuary (Highlands, Cove, Anahuac, Laporte, Morgans Point, Umbrella Point, and Oak Island) of the Galveston Bay System from 1995-2002............. 28 7 Map of the changes...

  19. Target Mass Monitoring and Instrumentation in the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    Henry R. Band; Jeffrey J. Cherwinka; Lee S. Greenler; Karsten M. Heeger; Paul Hinrichs; Li Kang; Christine A. Lewis; Shanfeng Li; Shengxin Lin; Michael C. McFarlane; Wei Wang; David M. Webber; Yadong Wei; Thomas S. Wise; Qiang Xiao; Li Yang; Zhijian Zhang

    2013-03-05

    The Daya Bay experiment measures sin^2 2{\\theta}_13 using functionally identical antineutrino detectors located at distances of 300 to 2000 meters from the Daya Bay nuclear power complex. Each detector consists of three nested fluid volumes surrounded by photomultiplier tubes. These volumes are coupled to overflow tanks on top of the detector to allow for thermal expansion of the liquid. Antineutrinos are detected through the inverse beta decay reaction on the proton-rich scintillator target. A precise and continuous measurement of the detector's central target mass is achieved by monitoring the the fluid level in the overflow tanks with cameras and ultrasonic and capacitive sensors. In addition, the monitoring system records detector temperature and levelness at multiple positions. This monitoring information allows the precise determination of the detectors' effective number of target protons during data taking. We present the design, calibration, installation and in-situ tests of the Daya Bay real-time antineutrino detector monitoring sensors and readout electronics.

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

    SciTech Connect (OSTI)

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

    2013-08-01

    Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place DER at the Bay Ridge multifamily (MF) development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a 'base scope' retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a 'DER scope' which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. The base scope was applied to the entire apartment complex, except for one 12-unit building which underwent the DER scope. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.

  1. Ecological Forecasting in Chesapeake Bay: Using a Mechanistic-Empirical Modelling Approach

    SciTech Connect (OSTI)

    Brown, C. W.; Hood, Raleigh R.; Long, Wen; Jacobs, John M.; Ramers, D. L.; Wazniak, C.; Wiggert, J. D.; Wood, R.; Xu, J.

    2013-09-01

    The Chesapeake Bay Ecological Prediction System (CBEPS) automatically generates daily nowcasts and three-day forecasts of several environmental variables, such as sea-surface temperature and salinity, the concentrations of chlorophyll, nitrate, and dissolved oxygen, and the likelihood of encountering several noxious species, including harmful algal blooms and water-borne pathogens, for the purpose of monitoring the Bay's ecosystem. While the physical and biogeochemical variables are forecast mechanistically using the Regional Ocean Modeling System configured for the Chesapeake Bay, the species predictions are generated using a novel mechanistic empirical approach, whereby real-time output from the coupled physical biogeochemical model drives multivariate empirical habitat models of the target species. The predictions, in the form of digital images, are available via the World Wide Web to interested groups to guide recreational, management, and research activities. Though full validation of the integrated forecasts for all species is still a work in progress, we argue that the mechanistic–empirical approach can be used to generate a wide variety of short-term ecological forecasts, and that it can be applied in any marine system where sufficient data exist to develop empirical habitat models. This paper provides an overview of this system, its predictions, and the approach taken.

  2. Program Areas | National Security | ORNL

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

    Organizations National Security Home | Science & Discovery | National Security | Program Areas SHARE Program Areas image Oak Ridge National Laboratory (ORNL) has a robust...

  3. Proposal for the award of a contract, without competitive tendering, for the design and construction of a new 400 kV transmission feeder bay

    E-Print Network [OSTI]

    2015-01-01

    Proposal for the award of a contract, without competitive tendering, for the design and construction of a new 400 kV transmission feeder bay

  4. Avian Communities in Tidal Salt Marshes of San Francisco Bay: A Review of Functional Groups by Foraging Guild and Habitat Association

    E-Print Network [OSTI]

    2011-01-01

    2006). San Francisco Bay song spar- rows are adapted to highswallows (Hirundinidae), savannah spar- rows (Passerculussurvival in tidal-marsh song spar- rows was maximized when

  5. Visualizing microbial pollution in Santa Monica Bay with Geographic Information Systems (GIS) and through field-testing a rapid, robust, field-portable water detection sensing system

    E-Print Network [OSTI]

    2009-01-01

    Abstract: Chronic water pollution plague southern Californiaand understanding of water pollution as well as assist inreflecting extent of water pollution in Santa Monica Bay

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

    E-Print Network [OSTI]

    Mourad, Bessma

    2009-01-01

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

  7. 100 Area - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory ofDidDevelopmentataboutScalablePhysicist: Christian Bauer 101000 Area

  8. 300 Area - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are newsBelle-IIProcesses -1300 Area

  9. 700 Area - Hanford Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.TheoryTuesday, August 10, 20102016 News Below are4B Drawings 4B618-10 and700 Area

  10. Tank Farm Area Closure

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. Coal StocksSuppliers Tag:Take Action APPENDIX-11CoverArea

  11. Tank Farm Area Closure

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. Coal StocksSuppliers Tag:Take Action APPENDIX-11CoverArea

  12. Material Disposal Areas

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesse BergkampCentermillion toMSDS onBudgetMaterial Disposal Areas Material

  13. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    Collingwood CFB Borden 0 10 20 Kilometers Area = 521,900 Hectares #12;POPULATION CHARACTERISTICS Population

  14. National Strategy for the Arctic Region Tribal Consultation Session: Barrow

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) is announcing the second round of tribal consultations and stakeholder outreach meetings on the National Strategy for the Arctic Region (NSAR), 10-Year Plan to accelerate renewable energy deployment in the Arctic Region.

  15. National Strategy for the Arctic Region Stakeholder Outreach Meeting: Barrow

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) is announcing the second round of tribal consultations and stakeholder outreach meetings on the National Strategy for the Arctic Region (NSAR), 10-Year Plan to accelerate renewable energy deployment in the Arctic Region.

  16. Electrical Resistance Tomographic Profile L2, Site 0, Barrow AK

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Hubbard, Susan; Dafflon, Baptiste

    2013-12-08

    Figure 7a in http://esd.lbl.gov/files/about/staff/susanhubbard/PUBLISHED_-_Hubbard-Hydrogeology-2012_with_Gangodagamage_et_al.pdf

  17. Electrical Resistance Tomographic Profile L2, Site 0, Barrow AK

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Hubbard, Susan; Dafflon, Baptiste

    Figure 7a in http://esd.lbl.gov/files/about/staff/susanhubbard/PUBLISHED_-_Hubbard-Hydrogeology-2012_with_Gangodagamage_et_al.pdf

  18. Barrow Utils & Elec Coop, Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoop IncIowaWisconsin: EnergyYorkColorado StateWind Project Jump to:GaddaBarreUtils

  19. The Alternate Buddy System at the Barrow Site

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConferencePriceshieldingFocus

  20. T-1 Training Area

    ScienceCinema (OSTI)

    None

    2015-01-09

    Another valuable homeland security asset at the NNSS is the T-1 training area, which covers more than 10 acres and includes more than 20 separate training venues. Local, County, and State first responders who train here encounter a variety of realistic disaster scenarios. A crashed 737 airliner lying in pieces across the desert, a helicopter and other small aircraft, trucks, buses, and derailed train cars are all part of the mock incident scene. After formal classroom education, first responders are trained to take immediate decisive action to prevent or mitigate the use of radiological or nuclear devices by terrorists. The Counterterrorism Operations Support Center for Radiological Nuclear Training conducts the courses and exercises providing first responders from across the nation with the tools they need to protect their communities. All of these elements provide a training experience that cannot be duplicated anywhere else in the country.

  1. T-1 Training Area

    SciTech Connect (OSTI)

    2014-11-07

    Another valuable homeland security asset at the NNSS is the T-1 training area, which covers more than 10 acres and includes more than 20 separate training venues. Local, County, and State first responders who train here encounter a variety of realistic disaster scenarios. A crashed 737 airliner lying in pieces across the desert, a helicopter and other small aircraft, trucks, buses, and derailed train cars are all part of the mock incident scene. After formal classroom education, first responders are trained to take immediate decisive action to prevent or mitigate the use of radiological or nuclear devices by terrorists. The Counterterrorism Operations Support Center for Radiological Nuclear Training conducts the courses and exercises providing first responders from across the nation with the tools they need to protect their communities. All of these elements provide a training experience that cannot be duplicated anywhere else in the country.

  2. DOE Designates Southwest Area and Mid-Atlantic Area National...

    Energy Savers [EERE]

    Corridors DOE Designates Southwest Area and Mid-Atlantic Area National Interest Electric Transmission Corridors October 2, 2007 - 2:50pm Addthis WASHINGTON, DC - U.S. Department...

  3. Development of a neural network model to nowcast/forecast the coastal water level anomalies on the entrance to Galveston Bay, Texas 

    E-Print Network [OSTI]

    Nam, Young Joo

    2002-01-01

    observations for a total of 375 days during the winter season from 1998 to 2000 were used to quantify the relative importance of the remote and local forcing in Galveston Bay and Corpus Christi Bay, Texas. For both locations, the analysis showed that the water...

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

    E-Print Network [OSTI]

    Gilbes, Fernando

    Bio-Optical Variability in Mayaguez Bay during the Rainy Season Joel A. Quińones Rivera, ja23 by suspending particles in the water that affects light penetration. This is critical for the bio-optical from different stations collected with an bio-optical rosette along the Mayagüez Bay and considering

  5. User's guide for SAMMY: a computer model for multilevel r-matrix fits to neutron data using Bayes' equations

    SciTech Connect (OSTI)

    Larson, N. M.; Perey, F. G.

    1980-11-01

    A method is described for determining the parameters of a model from experimental data based upon the utilization of Bayes' theorem. This method has several advantages over the least-squares method as it is commonly used; one important advantage is that the assumptions under which the parameter values have been determined are more clearly evident than in many results based upon least squares. Bayes' method has been used to develop a computer code which can be utilized to analyze neutron cross-section data by means of the R-matrix theory. The required formulae from the R-matrix theory are presented, and the computer implementation of both Bayes' equations and R-matrix theory is described. Details about the computer code and compelte input/output information are given.

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

    SciTech Connect (OSTI)

    Vaught, Douglas J.

    2007-03-31

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

  7. F Reactor Area Cleanup Complete

    Broader source: Energy.gov [DOE]

    RICHLAND, Wash. – U.S. Department of Energy (DOE) contractors have cleaned up the F Reactor Area, the first reactor area at the Hanford Site in southeastern Washington state to be fully remediated.

  8. A side-by-side comparison of Daya Bay antineutrino detectors

    E-Print Network [OSTI]

    Daya Bay Collaboration; F. P. An; Q. An; J. Z. Bai; A. B. Balantekin; H. R. Band; W. Beriguete; M. Bishai; S. Blyth; R. L. Brown; G. F. Cao; J. Cao; R. Carr; J. F. Chang; Y. Chang; C. Chasman; H. S. Chen; S. J. Chen; S. M. Chen; X. C. Chen; X. H. Chen; X. S. Chen; Y. Chen; J. J. Cherwinka; M. C. Chu; J. P. Cummings; Z. Y. Deng; Y. Y. Ding; M. V. Diwan; E. Draeger; X. F. Du; D. Dwyer; W. R. Edwards; S. R. Ely; S. D. Fang; J. Y. Fu; Z. W. Fu; L. Q. Ge; R. L. Gill; M. Gonchar; G. H. Gong; H. Gong; Y. A. Gornushkin; L. S. Greenler; W. Q. Gu; M. Y. Guan; X. H. Guo; R. W. Hackenburg; R. L. Hahn; S. Hans; H. F. Hao; M. He; Q. He; W. S. He; K. M. Heeger; Y. K. Heng; P. Hinrichs; T. H. Ho; Y. K. Hor; Y. B. Hsiung; B. Z. Hu; T. Hu; T. Hu; H. X. Huang; H. Z. Huang; P. W. Huang; X. Huang; X. T. Huang; P. Huber; D. E. Jaffe; S. Jetter; X. L. Ji; X. P. Ji; H. J. Jiang; W. Q. Jiang; J. B. Jiao; R. A. Johnson; L. Kang; S. H. Kettell; M. Kramer; K. K. Kwan; M. W. Kwok; T. Kwok; C. Y. Lai; W. C. Lai; W. H. Lai; K. Lau; L. Lebanowski; M. K. P. Lee; R. Leitner; J. K. C. Leung; K. Y. Leung; C. A. Lewis; F. Li; G. S. Li; J. Li; Q. J. Li; S. F. Li; W. D. Li; X. B. Li; X. N. Li; X. Q. Li; Y. Li; Z. B. Li; H. Liang; C. J. Lin; G. L. Lin; S. K. Lin; S. X. Lin; Y. C. Lin; J. J. Ling; J. M. Link; L. Littenberg; B. R. Littlejohn; B. J. Liu; D. W. Liu; J. C. Liu; J. L. Liu; S. Liu; X. Liu; Y. B. Liu; C. Lu; H. Q. Lu; A. Luk; K. B. Luk; X. L. Luo; L. H. Ma; Q. M. Ma; X. Y. Ma; Y. Q. Ma; B. Mayes; K. T. McDonald; M. C. McFarlane; R. D. McKeown; Y. Meng; D. Mohapatra; Y. Nakajima; J. Napolitano; D. Naumov; I. Nemchenok; C. Newsom; H. Y. Ngai; W. K. Ngai; Y. B. Nie; Z. Ning; J. P. Ochoa-Ricoux; A. Olshevski; A. Pagac; S. Patton; V. Pec; J. C. Peng; L. E. Piilonen; L. Pinsky; C. S. J. Pun; F. Z. Qi; M. Qi; X. Qian; R. Rosero; B. Roskovec; X. C. Ruan; B. Seilhan; B. B. Shao; K. Shih; H. Steiner; P. Stoler; G. X. Sun; J. L. Sun; Y. H. Tam; H. K. Tanaka; X. Tang; Y. Torun; S. Trentalange; O. Tsai; K. V. Tsang; R. H. M. Tsang; C. Tull; B. Viren; V. Vorobel; C. H. Wang; L. S. Wang; L. Y. Wang; M. Wang; N. Y. Wang; R. G. Wang; W. Wang; X. Wang; Y. F. Wang; Z. Wang; Z. Wang; Z. M. Wang; D. M. Webber; Y. D. Wei; L. J. Wen; D. L. Wenman; K. Whisnant; C. G. White; L. Whitehead; J. Wilhelmi; T. Wise; H. L. H. Wong; J. Wong; F. F. Wu; Q. Wu; J. B. Xi; D. M. Xia; Q. Xiao; Z. Z. Xing; G. Xu; J. Xu; J. Xu; J. L. Xu; Y. Xu; T. Xue; C. G. Yang; L. Yang; M. Ye; M. Yeh; Y. S. Yeh; B. L. Young; Z. Y. Yu; L. Zhan; C. Zhang; F. H. Zhang; J. W. Zhang; Q. M. Zhang; S. H. Zhang; Y. C. Zhang; Y. H. Zhang; Y. X. Zhang; Z. J. Zhang; Z. P. Zhang; Z. Y. Zhang; H. Zhao; J. Zhao; Q. W. Zhao; Y. B. Zhao; L. Zheng; W. L. Zhong; L. Zhou; Y. Z. Zhou; Z. Y. Zhou; H. L. Zhuang; J. H. Zou

    2012-02-28

    The Daya Bay Reactor Neutrino Experiment is designed to determine precisely the neutrino mixing angle $\\theta_{13}$ with a sensitivity better than 0.01 in the parameter sin$^22\\theta_{13}$ at the 90% confidence level. To achieve this goal, the collaboration will build eight functionally identical antineutrino detectors. The first two detectors have been constructed, installed and commissioned in Experimental Hall 1, with steady data-taking beginning September 23, 2011. A comparison of the data collected over the subsequent three months indicates that the detectors are functionally identical, and that detector-related systematic uncertainties exceed requirements.

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

    SciTech Connect (OSTI)

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

    2013-07-01

    Andreeva Bay is located near Murmansk in the Russian Federation close to the Norwegian border. The ex-naval site was used to de-fuel nuclear-powered submarines and icebreakers during the Cold War. Approximately 22,000 fuel assemblies remain in three Dry Storage Units (DSUs) which means that Andreeva Bay has one of the largest stockpiles of highly enriched spent nuclear fuel (SNF) in the world. The high contamination and deteriorating condition of the SNF canisters has made improvements to the management of the SNF a high priority for the international community for safety, security and environmental reasons. International Donors have, since 2002, provided support to projects at Andreeva concerned with improving the management of the SNF. This long-term programme of work has been coordinated between the International Donors and responsible bodies within the Russian Federation. Options for the safe and secure management of SNF at Andreeva Bay were considered in 2004 and developed by a number of Russian Institutes with international participation. This consisted of site investigations, surveys and studies to understand the technical challenges. A principal agreement was reached that the SNF would be removed from the site altogether and transported to Russia's reprocessing facility at Mayak in the Urals. The analytical studies provided the information necessary to develop the construction plan for the site. Following design and regulatory processes, stakeholders endorsed the technical solution in April 2007. This detailed the processes, facilities and equipment required to safely remove the SNF and identified other site services and support facilities required on the site. Implementation of this strategy is now well underway with the facilities in various states of construction. Physical works have been performed to address the most urgent tasks including weather protection over one of the DSUs, installation of shielding over the cells, provision of radiation protection infrastructure and general preparation of the site for construction of the facilities for the removal of the SNF. This paper describes the development and implementation of the strategy and work to improve the safe and secure management of SNF, preparing it for retrieval and removal from Andreeva Bay. (authors)

  10. Ann bay lodyans 10 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 10 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml Tl CHENN LO A Te gen yon nonm ki te...

  11. Ann bay lodyans 12 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 12 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml EPI BONDYE KREYE PREMYE FS A Nan...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 4 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml Tl CHAT: PI PITI PI RED Vwala se te...

  13. Ann bay lodyans 11 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS 11 Se Bryant Freeman ("Tonton Liben...") ki pare ti liv sa a. AYITI SE PEP AYISYEN PM 7854 .H39 A56 2000 PM Enstiti Etid Ayisyen - Inivesite Kannzas Bon Nouvel Fondasyon Alfa Lwes 1997 YON PWASON KI RELE TEZEN Vwala se yon jennfi yo rele Wozilya ak yon jennjan yo rele Tezen ki...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS15 Se Bryant Freeman ("Tonton Liben...") ki pare ti liv sa a. H ^ AYITI SE PEP AYISYEN 2 0 0 0 Enstiti Etid Ayisyen - Inivesite Kannzas Bon Nouvel Fondasyon Alfa Lwes 2000 PM 7854 .H39 A56 2000 v. 15 YON KONTRA AK LEDJAB Vwala te gen yon malerez ki te deja gen douz pitit, e...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS 5 Se Bryant Freeman ("Tonton Liben.... Tijo we yon tig ki te tonbe nan yon gwo twou. Li pa t kapab soti paske twou a fon. Kounye a tig la prizonye. Li di Tijo: "Ou se yon bon ti gason, ede m soti, souple." Tijo reponn: "Si mwen retire ou nan twou a, ou ap manje m." Tig la di: "O non...

  16. Ann bay lodyans 14 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml fcjNlVfcHto" r ' K A N S A S L lBf iAH.r ANN BAY... LODYANS1 4 Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a. A 51* AYITI SE PEP AYISYEN PM 7854 .H39 A56 2000 v. 14 Enstiti Etid Ayisyen - Inivesite Kannzas Bon Nouvel Fondasyon Alfa Lwes 2000 YON TI PYE ZORANJ Se istwa yon ti fi ki...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS 3 Se Bryant Freeman ("Tonton Liben...") ki pare ti liv sa a. AYITI SE PEP AYISYEN Enstiti Etid Ayisyen - Inivesite Kannzas Bon Nouvel Fondasyon Alfa Lwes 2000 PM 7854 • H39 A56 KUAN POU M JWENN KOB? Vwala te gen yon zarenyen ki te raze net. Li di nan tet li: "M bezwen jwenn kob...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    ofisye yo. Genyen yon gwo pyano pou nou pote nan sal la." Pye Wolen, Senlwidino TET DESALIN Yon blan rantre an Ayiti. Li mande yon neg: "Fe m jwenn tet Jan Jak Desalin, pou souvni." Neg la, sa li gen pou fe, li rantre nan yon simitye, li pran yon... tet byen vit. Li pote I bay blan an. Blan an di konsa: "Sa a pa tet Desalin. Tet Desalin pa kapab piti konsa." Neg la di: "Sa a se tet Desalin le I te timoun!" 8 MANGO A Ml Se Bouki ak Malis ki t ap pwonmennen. Bouki di Malis: "Men yon pye mango...

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

    E-Print Network [OSTI]

    Cohen, Robert Lester

    1981-01-01

    . Brooks The subtidal frequency response of currents to the wind stress and wind stress curl and divergence in the coastal region off Onslow Bay, North Carolina was investigated for two 4-month mooring periods: January-May, 1979 and August...-November, 1979. In the winter only, the atmosphere and the Gulf Stream were marginally coupled in a 2-4 day period band. The longshore wind stress was coherent with nearer shore current fluctuations at a 2. 7-day period. The offshore wind stress com- ponent...

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QAsource History View NewTexas:Montezuma,Information MHKMHK5 < MHK ProjectsHawaiiInformation Bay of Fundy

  1. Bay County, Michigan ASHRAE 169-2006 Climate Zone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EAandAmminexInformationArkansas: Energy Resources JumpBay County,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoos Bay OPT Wave Park < MHK Projects Jump

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoos Bay OPT WaveFishers IslandShelterSullivan

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoos Bay OPTHalf| Open EnergyMaine 1

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoos Bay OPTHalf|Myette

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoos BayOysterReliance LightSalem

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsource HistoryScenarios Towards 2050 JumpCoosSlough BendVidal IslandWestWaveWillapa Bay

  8. Monroe Urbanized Area MTP 2035 

    E-Print Network [OSTI]

    Monroe Urbanized Area Metropolitan Planning Organization

    2010-10-31

    /plain; charset=ISO-8859-1 Monroe Urbanized Area MTP 2035 The 2035 Metropolitan Transportation Plan for the Monroe Urbanized Area Developed for The Monroe Urbanized Area Metropolitan Planning Organization and The Louisiana Department... of Transportation and Development Developed by In association with Neel-Schaffer, Inc. **DRAFT** Adopted Date Here This document was prepared in cooperation with: The Monroe Urbanized Area MPO Technical Advisory Committee and The Louisiana...

  9. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01

    used in area like smart buildings, street light controls andbuilding. This section focuses on HAN design to address two smart

  10. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    RidgeRd. SimcoeSt. Hwy.7&12 RegRd.57 0 4 8 Kilometers Area = 51,980 Hectares #12;POPULATION CHARACTERISTICSdatamanagementgroup 2011 SURVEY AREA SUMMARY DEPARTMENT OF CIVIL ENGINEERING - UNIVERSITY Drivers Vehicles Trips/day 2011 2006 1996 1986 datamanagementgroup 2011 SURVEY AREA SUMMARY DEPARTMENT

  11. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    .7 4.1 5.8 27.9 TRIPS MADE TO TTS AREA 4,070,800 22.8% 51% 22% 6% 21% 61% 13% 12% 2% 8% 4% 7.1 3.3 7datamanagementgroup 2011 SURVEY AREA SUMMARY DEPARTMENT OF CIVIL ENGINEERING - UNIVERSITY OF TORONTO PREPARED BY 5 TRANSPORTATION TOMORROW SURVEY AREA City of Orillia Durham Region City

  12. Existing Whole-House Solutions Case Study: Bay Ridge Gardens - Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit, Annapolis, Maryland

    SciTech Connect (OSTI)

    2013-10-01

    Under this project, the BA-PIRC research team evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place deep energy retrofit at the Bay Ridge multifamily development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This case study summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete.

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

    E-Print Network [OSTI]

    Richart B. Cathcart; Alexander A. Bolonkin

    2007-02-04

    Climate change in California may require construction of a barrier separating the Pacific Ocean from San Francisco Bay and the Sacramento River-San Joaquin River Delta simply because Southern California is remarkably dependent on freshwater exported from the Delta. We offer a new kind of salt barrier, a macroproject built of impermeable textile materials stretched across the Golden Gate beneath the famous bridge. We anticipate it might eventually substitute for a recently proposed San Francisco In-Stream Tidal Power Plant harnessing a 1.7 m tide at the Bay entrance if future climate conditions Statewide is conducive. First-glance physics underpin our macroproject.

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

    E-Print Network [OSTI]

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

    2007-01-01

    Climate change in California may require construction of a barrier separating the Pacific Ocean from San Francisco Bay and the Sacramento River-San Joaquin River Delta simply because Southern California is remarkably dependent on freshwater exported from the Delta. We offer a new kind of salt barrier, a macroproject built of impermeable textile materials stretched across the Golden Gate beneath the famous bridge. We anticipate it might eventually substitute for a recently proposed San Francisco In-Stream Tidal Power Plant harnessing a 1.7 m tide at the Bay entrance if future climate conditions Statewide is conducive. First-glance physics underpin our macroproject.

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

    SciTech Connect (OSTI)

    Lyons, James; Moore, Mike; Thompson, Margo

    2013-08-01

    Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost effectiveness of efficiency upgrade measures for a tenant-in-place deep energy retrofit (DER) at the Bay Ridge multifamily development in Annapolis, Maryland. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a "base scope" retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a "DER scope" which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.

  16. DOE Research Set-Aside Areas of the Savannah River Site

    SciTech Connect (OSTI)

    Davis, C.E.; Janecek, L.L.

    1997-08-31

    Designated as the first of seven National Environmental Research Parks (NERPs) by the Atomic Energy Commission (now the Department of Energy), the Savannah River Site (SRS) is an important ecological component of the Southeastern Mixed Forest Ecoregion located along the Savannah River south of Aiken, South Carolina. Integral to the Savannah River Site NERP are the DOE Research Set-Aside Areas. Scattered across the SRS, these thirty tracts of land have been set aside for ecological research and are protected from public access and most routine Site maintenance and forest management activities. Ranging in size from 8.5 acres (3.44 ha) to 7,364 acres (2,980 ha), the thirty Set-Aside Areas total 14,005 acres (5,668 ha) and comprise approximately 7% of the Site`s total area. This system of Set-Aside Areas originally was established to represent the major plant communities and habitat types indigenous to the SRS (old-fields, sandhills, upland hardwood, mixed pine/hardwood, bottomland forests, swamp forests, Carolina bays, and fresh water streams and impoundments), as well as to preserve habitats for endangered, threatened, or rare plant and animal populations. Many long-term ecological studies are conducted in the Set-Asides, which also serve as control areas in evaluations of the potential impacts of SRS operations on other regions of the Site. The purpose of this document is to give an historical account of the SRS Set-Aside Program and to provide a descriptive profile of each of the Set-Aside Areas. These descriptions include a narrative for each Area, information on the plant communities and soil types found there, lists of sensitive plants and animals documented from each Area, an account of the ecological research conducted in each Area, locator and resource composition maps, and a list of Site-Use permits and publications associated with each Set-Aside.

  17. Geothermal resource area 9: Nye County. Area development plan

    SciTech Connect (OSTI)

    Pugsley, M.

    1981-01-01

    Geothermal Resource area 9 encompasses all of Nye County, Nevada. Within this area there are many different known geothermal sites ranging in temperature from 70/sup 0/ to over 265/sup 0/ F. Fifteen of the more major sites have been selected for evaluation in this Area Development Plan. Various potential uses of the energy found at each of the resource sites discussed in this Area Development Plan were determined after evaluating the area's physical characteristics, land ownership and land use patterns, existing population and projected growth rates, and transportation facilities, and comparing those with the site specific resource characteristics. The uses considered were divided into five main categories: electrical generation, space heating, recreation, industrial process heat, and agriculture. Within two of these categories certain subdivisions were considered separately. The findings about each of the 15 geothermal sites considered in this Area Development Plan are summarized.

  18. CS364B: Frontiers in Mechanism Design Lecture #15: The Price of Anarchy of Bayes-Nash

    E-Print Network [OSTI]

    Roughgarden, Tim

    CS364B: Frontiers in Mechanism Design Lecture #15: The Price of Anarchy of Bayes-Nash Equilibria.1 Suppose that: 1. Every bidder i has a submodular (or even XOS1 ) valuation; 2. b is a pure Nash with arbitrarily low welfare. 1.2 Recap: Extension Theorems Theorem 1.1 is only about pure Nash equilibria, which

  19. An Archaeological Survey of the 85 Acre Bay City High School Site in Central Matagorda County, Texas 

    E-Print Network [OSTI]

    Moore, William

    2015-06-10

    Brazos Valley Research Associates (BVRA) conducted a 100% pedestrian survey of an 85 acre tract of land, the site of the proposed Bay City Independent School District High School in north-central Matagorda County, Texas on May 23-24, 1999...

  20. Blue crabs are a valuable economic species in Biscayne Bay. The blue crabs Latin name translates as

    E-Print Network [OSTI]

    Blue crabs are a valuable economic species in Biscayne Bay. The blue crabs Latin name translates as beautiful swimmer that is savory. They are from the Phylum Arthropoda (animals with jointed legs). Blue. Blue crabs can walk very quickly across the ocean floor. The females have been known to swim 500 miles

  1. Impact of fair-weather cumulus clouds and the Chesapeake Bay breeze on pollutant transport and transformation

    E-Print Network [OSTI]

    Dickerson, Russell R.

    evolve in the atmosphere, to forecast air quality and climate impacts of pollutants, and to help evaluate air pollution and climate change mitigation plans. Fine scale weather structures, such as fairImpact of fair-weather cumulus clouds and the Chesapeake Bay breeze on pollutant transport

  2. Impact of fair-weather cumulus clouds and the Chesapeake Bay breeze on pollutant transport and transformation

    E-Print Network [OSTI]

    Zhang, Da-Lin

    to investigate how pollutants evolve in the atmosphere, to forecast air quality and climate impacts of pollutants, and to help evaluate air pollution and climate change mitigation plans. Fine scale weather structuresImpact of fair-weather cumulus clouds and the Chesapeake Bay breeze on pollutant transport

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

    Broader source: Energy.gov [DOE]

    Draft Environmental AssessmentThis EA evaluates the environmental impacts of a project that would use the tidal currents of Cobscook Bay to generate electricity via cross-flow Kinetic System turbine generator units (TGU) mounted on the seafloor. The TGUs would capture energy from the flow in both ebb and flood directions.

  4. Phy Sci 110, Spring 2004 Lab Week 8 May 18-19, 2004 Environmental History of the Chesapeake Bay

    E-Print Network [OSTI]

    , political & economic significance. The big issues are: 1. What factor or factors have driven this change1 Phy Sci 110, Spring 2004 Lab Week 8 May 18-19, 2004 Environmental History of the Chesapeake Bay the oyster industry, Maryland & Virginia environmental managers are now considering introducing a new alien

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

    E-Print Network [OSTI]

    Thomas, Andrew

    Maine, a strongly tidally mixed coastal region Hannah M. Horecka, Andrew C. Thomas n , Ryan A. Weatherbee School of Marine Sciences, 5706 Aubert Hall, University of Maine, Orono, ME 04469, USA a r t i c l e i n f o Keywords: Harmful algal blooms Gulf of Maine Cobscook Bay Shellfish toxicity a b s t r a c

  6. Development of a mass balance model for estimating PCB export from the lower Fox River to Green Bay

    SciTech Connect (OSTI)

    Velleux, M.; Endicott, D.

    1994-01-01

    A mass balance approach was used to model contaminant cycling in the lower Fox River from the DePere Dam to Green Bay. The objectives of this research were (1) to estimate present contaminant export from the Fox River to Green Bay, and (2) to quantify contaminant transport and fate pathways in the lower river for the study period. Specifically, a model describing the transport, fate, and export of chlorides, total suspended solids, total PCBs, and six PCB congeners for the lower Fox River was developed. Field data collected as part of the U.S. Environmental Protection Agency's Green Bay Mass Balance Study were used to calibrate the model. Model results suggest that the transport of inplace pollutants significantly contributed to the cumulative export of total PCBs over this period. Estimated total PCB transport in the Fox River during 1989 increased 60% between the dam and river mouth due to the resuspension of lower river sediments. Total suspended solids and PCB predictions are most sensitive to particle transport parameters, particularly the settling and resuspension velocities. The significant components of the total PCB mass balance are import (loading over the DePere Dam), settling, resuspension, and export to Green Bay. Volatilization, porewater transport, and point source input were not significant to the mass balance. Present point source discharges to the river are not significant total PCB sources, collectively contributing less than 6 kg of PCB to the river during the mass balance period.

  7. 3D architecture of a complex transcurrent rift system: The example of the Bay of BiscayWestern Pyrenees

    E-Print Network [OSTI]

    Demouchy, Sylvie

    inversion Seismic interpretation Bay of Biscay Western Pyrenees The Parentis and Arzacq­Mauléon basins observations and the interpretation of seismic data. We compare these results with those obtained from two, based on seismic data and gravimetric inversion methods, a decrease in extension from west to east

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

    SciTech Connect (OSTI)

    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.

    1985-01-01

    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)

  9. Distribution and Status of the Guiana Dolphin Sotalia guianensis (Cetacea, Delphinidae) Population in Babitonga Bay, Southern Brazil

    E-Print Network [OSTI]

    Simőes-Lopes, Paulo César

    in Babitonga Bay, Southern Brazil Marta J. Cremer1,2, *, Fernando A.S. Hardt1 , Antonio J. Tonello Jr1 Regiăo de Joinville, Caixa Postal 110, Cep 89240-000, Săo Francisco do Sul, Santa Catarina, Brazil 2 Programa de Pós-Graduaçăo em Cięncias Biológicas ­ Zoologia, Univ. Federal do Paraná, Curitiba, Brazil 3

  10. On the bluffs overlooking Monterey Bay, the Seymour Marine Discovery Center is dedicated to educating people about the role

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    On the bluffs overlooking Monterey Bay, the Seymour Marine Discovery Center is dedicated · theadjacentYoungerLagoonNaturalReserve The Seymour Center is a self-funded program of the University of California,SantaCruz. seymour marine Discovery center at Long marine Laboratory university of California

  11. On the bluffs overlooking Monterey Bay, the Seymour Marine Discovery Center is dedicated to educating people about the role

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    On the bluffs overlooking Monterey Bay, the Seymour Marine Discovery Center is dedicated's oceans. Seymour Marine Discovery Center at Long Marine Laboratory Participate through inquiry · theadjacentYoungerLagoonNaturalReserve Located at Long Marine Laboratory, the Seymour Center is a self

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

    E-Print Network [OSTI]

    Boynton, Walter R.

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

  13. Preliminary conceptual study on impact of land reclamation on groundwater flow and contaminant migration in Penny's Bay

    E-Print Network [OSTI]

    Jiao, Jiu Jimmy

    of the contaminated groundwater due to Cheoy Lee Shipyard, which was located on the north and eastern shores of Penny Shipyard is not removed, the contaminated groundwater will not spread out much within Penny's Bay sand and silt which forms the Chek Lap Kok Formation. A former shipyard called Cheoy Lee Shipyard (CLS

  14. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    % 7% 6.5 5.5 6.5 68.5 30,100 10% 5% 51% 34% 73% 17% 1% * 3% 7% 7.0 7.2 10.0 * ANCASTER AREA CITYdatamanagementgroup 2011 SURVEY AREA SUMMARY DEPARTMENT OF CIVIL ENGINEERING - UNIVERSITY OF TORONTO PREPARED BY 85 ANCASTER AREA CITY OF HAMILTON Mohawk Rd. Main St. Carluke Rd. Governors Rd. Garner

  15. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    ,213,000 38% 13% 35% 14% 60% 14% 16% 1% 7% 2% 5.7 4.1 6.6 30.0 TRIPS MADE TO TTS AREA 3,168,200 23.5% 51% 22datamanagementgroup 2011 SURVEY AREA SUMMARY DEPARTMENT OF CIVIL ENGINEERING - UNIVERSITY OF TORONTO PREPARED BY 5 GREATER TORONTO HAMILTON AREA Durham Region Peel Region City of Hamilton City

  16. Kodiak Area Management Reports, 19242010 Kodiak Area Management Reports, 19242010

    E-Print Network [OSTI]

    367 Kodiak Area Management Reports, 1924­2010 APPENDIX 4 Kodiak Area Management Reports, 1924­2010 1924: Fred R. Lucas. Report of Kodiak-Afognak Fish- eries District to August 31, 1924. U.S. Bureau of Fisheries, Afognak, AK (5 September 1924). 8 p. 1924: Fred R. Lucas. Report of Kodiak-Afognak Dis- trict

  17. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01

    and implementation of smart home energy management systemsStandard Technologies for Smart Home Area Networks EnablingInteroperability framework for smart home systems”, Consumer

  18. Oil and gas developments in South America, Central America, Caribbean area, and Mexico in 1986

    SciTech Connect (OSTI)

    Wiman, W.D.

    1987-10-01

    Exploration activity in South America, Central America, the Caribbean area, and Mexico in 1986 was considerably reduced compared to 1985. Brazil, Colombia, Ecuador, Guatemala, and Venezuela had increased oil production, with Colombia showing a dramatic 71% increase attributed mainly to bringing on-stream the pipeline connecting Occidental-Shell-Ecopetrol's Cano Limon complex to the port of Covenas. Significant discoveries were reported from Argentina in the Olmedo, Oran, and San Jorge basins; Brazil in the offshore Campos and Amazon basins; Colombia in the Llanos basin; Ecuador in the Oriente basin; Mexico in the Bay of Campeche; Peru in the Ucayali basin; and Venezuela in the Eastern Venezuela basin. Eastern Venezuela's Furrial discovery is reported to have recoverable reserves of more than 1 million bbl of oil, and Shell's Ucayali basin discovery is reported to hold more than 7 tcf of gas. 7 figures, 10 tables.

  19. Daya Bay

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformation Current HAB Packet HanfordDOEDaniel ShechtmanDepartmentSecurityDavid1 at

  20. datamanagementgroup 2011 SURVEY AREA SUMMARY

    E-Print Network [OSTI]

    Toronto, University of

    datamanagementgroup 2011 SURVEY AREA SUMMARY DEPARTMENT OF CIVIL ENGINEERING - UNIVERSITY OF TORONTO PREPARED BY 51 TOWN OF RICHMOND HILL REGIONAL MUNICIPALITY OF YORK LeslieSt. Stouffville Rd. King 6 Kilometers Area = 10,180 Hectares #12;POPULATION CHARACTERISTICS Population Age Daily

  1. Area Health Education Center of

    E-Print Network [OSTI]

    Collins, Gary S.

    Area Health Education Center of Eastern Washington Washington State University Extension's Area Health Education Center of Eastern Washington works with university and community allies to promote health for underserved and at-risk populations. It is part of a network of AHEC organiza- tions

  2. Before Mapping After Mapping Area Power Area Delay Power

    E-Print Network [OSTI]

    Pedram, Massoud

    32 Exam- ples Before Mapping After Mapping Area Power Area Delay Power 5xp1 0.93 0.98 0.86 0.82 0 1.01 1.01 1.02 1.07 0.99 duke2 1.01 1.01 0.99 1.13 0.97 e64 1.00 0.51 0.83 1.16 0.50 ex5 0.99 0.89 0.99 0.92 0.96 1.05 0.90 Table 2: Area, delay and power statistics for power script (normalized

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

    E-Print Network [OSTI]

    Miller, Matthew J. (Matthew Jordan)

    2014-01-01

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

  4. AREA

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

    or if they need to add this to their audit they have performed yearly by a public accounting firm. 316 audits are essentially A-133 audits for for-profit entities. They DO...

  5. Communication in Home Area Networks

    E-Print Network [OSTI]

    Wang, Yubo

    2012-01-01

    21] ZigBee Alliance. "ZigBee Smart Energy V2.0”, 2011 [22]Secure remote access to Smart Energy Home area Networks”,Density HEMS SEP Smart Energy Profile HV Home Energy

  6. Progress Update: M Area Closure

    ScienceCinema (OSTI)

    Cody, Tom

    2012-06-14

    A progress update of the Recovery Act at work at the Savannah River Site. The celebration of the first area cleanup completion with the help of the Recovery Act.

  7. Security Area Vouching and Piggybacking

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-06-05

    Establishes requirements for the Department of Energy (DOE) Security Area practice of "vouching" or "piggybacking" access by personnel. DOE N 251.40, dated 5-3-01, extends this directive until 12-31-01.

  8. Variable area fuel cell cooling

    DOE Patents [OSTI]

    Kothmann, Richard E. (Churchill Borough, PA)

    1982-01-01

    A fuel cell arrangement having cooling fluid flow passages which vary in surface area from the inlet to the outlet of the passages. A smaller surface area is provided at the passage inlet, which increases toward the passage outlet, so as to provide more uniform cooling of the entire fuel cell. The cooling passages can also be spaced from one another in an uneven fashion.

  9. Multi-area network analysis 

    E-Print Network [OSTI]

    Zhao, Liang

    2005-02-17

    -1 MULTI-AREA NETWORK ANALYSIS A Dissertation by LIANG ZHAO Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY... December 2004 Major Subject: Electrical Engineering MULTI-AREA NETWORK ANALYSIS A Dissertation by LIANG ZHAO Submitted to Texas A&M University in partial fulfillment of the requirements for the degree of DOCTOR...

  10. Research Areas | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Stewardship Science Academic Alliances Research Areas Research Areas Properties of Materials under Extreme Conditions and Hydrodynamics During open solicitations research...

  11. Revisiting Copano Bay, Texas: an exceptional long-term record of ecological communities and their associated death assemblages 

    E-Print Network [OSTI]

    Ebnother, Danielle Dawn

    2006-10-30

    -1 REVISITING COPANO BAY, TEXAS: AN EXCEPTIONAL LONG-TERM RECORD OF ECOLOGICAL COMMUNITIES AND THEIR ASSOCIATED DEATH ASSEMBLAGES A Thesis by DANIELLE DAWN EBNOTHER Submitted to the Office of Graduate Studies of Texas A&M University in partial... DEATH ASSEMBLAGES A Thesis by DANIELLE DAWN EBNOTHER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair...

  12. Acrylic Target Vessels for a High-Precision Measurement of theta13 with the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    H. R. Band; R. Brown; J. Cherwinka; J. Cao; Y. Chang; B. Edwards; W. S. He; K. M. Heeger; Y. Heng; T. H. Ho; Y. B. Hsiung; L. Greenler; S. H. Kettell; C. Lewis; K. B. Luk; X. Li; B. R. Littlejohn; A. Pagac; C. H. Wang; W. Wang; Y. Wang; T. Wise; Q. Xiao; M. Yeh; H. Zhuang

    2012-02-10

    This paper describes in detail the acrylic target vessels used to encapsulate the target and gamma catcher regions in the Daya Bay experiment's first pair of antineutrino detectors. We give an overview of the design, fabrication, shipping, and installation of the acrylic target vessels and their liquid overflow tanks. The acrylic quality assurance program and vessel characterization, which measures all geometric, optical, and material properties relevant to {\

  13. Bay-annulated indigo (BAI) as an excellent electron accepting building block for high performance organic semiconductors

    DOE Patents [OSTI]

    Liu, Yi; He, Bo; Pun, Andrew

    2015-11-24

    A novel electron acceptor based on bay-annulated indigo (BAI) was synthesized and used for the preparation of a series of high performance donor-acceptor small molecules and polymers. The resulting materials possess low-lying LUMO energy level and small HOMO-LUMO gaps, while their films exhibited high crystallinity upon thermal treatment, commensurate with high field effect mobilities and ambipolar transfer characteristics.

  14. The distribution of potentially toxic heavy metals in the sediments of San Antonio Bay and the northwest Gulf of Mexico 

    E-Print Network [OSTI]

    Trefry, John Harold

    1974-01-01

    from 48 locations in the northwest Gulf of Mexico, including San Antonio Bay and the Mississippi River Delta, were acid leached and analyzed for iron, manganese, lead, zinc, cadmium, copper, and nickel by atomic absorption spectrophotometry. HNO... and HNO -HC1 solutions leached 60-70% of the iron and 60 to more than 90% of the other metals from the sediments Hcavy metal concentrations in the acid lese'hable frac- tion of the sediments were normalized against the acid lcachable iron...

  15. J. Paul Leonard Library, Room 460K, 1630 Holloway Avenue, San Francisco CA 94132 Tel: 415-405-5565 SAN FRANCISCO BAY AREA

    E-Print Network [OSTI]

    J. Paul Leonard Library, Room 460K, 1630 Holloway Avenue, San Francisco CA 94132 Tel: 415 and digital restoration are required for editing, this is outsourced as standard through Image Trends, Inc

  16. Attracted by the beautiful bay area, Olivier moved in Fall 2003 immediately after completing a bachelor degree in Engineering Physics at Laval University, Quebec City, Canada. He just

    E-Print Network [OSTI]

    Pouliot, Jean

    ., Zheng Z., Hristov D. and Verhey L., D., Low-dose megavoltage cone-beam CT for radiation therapy, Int. J-524; 2006. Chen J., Morin O., Aubin M., Bucci M.K., Chuang C.F. and Pouliot J. Dose-Guided Radiation Therapy are Radiation Oncology and Medical Imaging. His thesis work focuses at developing the clinical applications

  17. Cigarette, cigar and pipe smoking, passive smoke exposure, and risk of pancreatic cancer: a population-based study in the San Francisco Bay Area

    E-Print Network [OSTI]

    Tranah, Gregory J; Holly, Elizabeth A; Wang, Furong; Bracci, Paige M

    2011-01-01

    cigarette smoking, household passive smoke exposure, and theb 1.0 (Ref. ) Passive exposure to household and workplaceIn this study, passive exposure to household and workplace

  18. Measurements of Fission Products from the Fukushima Daiichi Incident in San Francisco Bay Area Air Filters, Automobile Filters, Rainwater, and Food

    E-Print Network [OSTI]

    Smith, A R; Norman, E B; Hurley, D L; Lo, B T; Chan, Y D; Guillaumon, P V; Harvey, B G

    2013-01-01

    A variety of environmental media were analyzed for fallout radionuclides resulting from the Fukushima nuclear accident by the Low Background Facility (LBF) at the Lawrence Berkeley National Laboratory (LBNL) in Berkeley, CA. Monitoring activities in air and rainwater began soon after the onset of the March 11, 2011 tsunami and are reported here through the end of 2012. Observed fallout isotopes include $^{131}$I, $^{132}$I,$^{132}$Te,$^{134}$Cs, $^{136}$Cs, and $^{137}$Cs. Isotopes were measured on environmental air filters, automobile filters, and in rainwater. An additional analysis of rainwater in search of $^{90}$Sr is also presented. Last, a series of food measurements conducted in September of 2013 are included due to extended media concerns of $^{134, 137}$Cs in fish. Similar measurements of fallout from the Chernobyl disaster at LBNL, previously unpublished publicly, are also presented here as a comparison with the Fukushima incident. All measurements presented also include natural radionuclides found...

  19. Measurements of Fission Products from the Fukushima Daiichi Incident in San Francisco Bay Area Air Filters, Automobile Filters, Rainwater, and Food

    E-Print Network [OSTI]

    A. R. Smith; K. J. Thomas; E. B. Norman; D. L. Hurley; B. T. Lo; Y. D. Chan; P. V. Guillaumon; B. G. Harvey

    2013-12-27

    A variety of environmental media were analyzed for fallout radionuclides resulting from the Fukushima nuclear accident by the Low Background Facility (LBF) at the Lawrence Berkeley National Laboratory (LBNL) in Berkeley, CA. Monitoring activities in air and rainwater began soon after the onset of the March 11, 2011 tsunami and are reported here through the end of 2012. Observed fallout isotopes include $^{131}$I, $^{132}$I,$^{132}$Te,$^{134}$Cs, $^{136}$Cs, and $^{137}$Cs. Isotopes were measured on environmental air filters, automobile filters, and in rainwater. An additional analysis of rainwater in search of $^{90}$Sr is also presented. Last, a series of food measurements conducted in September of 2013 are included due to extended media concerns of $^{134, 137}$Cs in fish. Similar measurements of fallout from the Chernobyl disaster at LBNL, previously unpublished publicly, are also presented here as a comparison with the Fukushima incident. All measurements presented also include natural radionuclides found in the environment to provide a basis for comparison.

  20. Walkability and Housing: A Comparative Study of Income, Neighborhood Change and Socio-Cultural Dynamics in the San Francisco Bay Area

    E-Print Network [OSTI]

    Riggs, William W.

    2011-01-01

    metropolis analysis. ” Housing Policy Debate 8 (4): 763.associated with actual housing choices including price andStandards for healthful housing. Chicago: Public