National Library of Energy BETA

Sample records for bay area number

  1. 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...

  2. 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

  3. 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...

  4. 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 &...

  5. 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.

  6. 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

  7. 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.

  8. 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

  9. 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...

  10. 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

  11. 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

  12. 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

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

    E-Print Network [OSTI]

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

    2011-03-30

    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.

  14. 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.

  15. 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

  16. 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.

  17. 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.

  18. 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

  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. Hemispheric sunspot unit area: comparison with hemispheric sunspot number and sunspot area

    SciTech Connect (OSTI)

    Li, K. J.; Xiang, N. B.; Qu, Z. N.; Xie, J. L., E-mail: lkj@ynao.ac.cn [National Astronomical Observatories/Yunnan Observatory, CAS, Kunming 650011 (China)

    2014-03-01

    The monthly mean northern and southern hemispheric sunspot numbers (SNs) and sunspot areas (SAs) in the time interval of 1945 January to 2012 December are utilized to construct the monthly northern and southern hemispheric sunspot unit areas (SUAs), which are defined as the ratio of hemispheric SA to SN. Hemispheric SUAs are usually found to rise at the beginning and to fall at the ending time of a solar cycle more rapidly, forming a more irregular cycle profile than hemispheric SNs and SAs, although it also presents Schwabe-cycle-like hemispheric SNs and SAs. Sunspot activity (SN, SA, and SUA) is found asynchronously and is asymmetrically distributed in the northern and southern hemispheres, and hemispheric SNs, SAs, and SUAs are not in phase in the two hemispheres. The similarity of hemispheric SNs and SAs is found to be much more obvious than that of hemispheric SUAs and SNs (or SAs), and also for their north-south asymmetry. A notable feature is found for the behavior of the SUA around the minimum time of cycle 24: the SUA rapidly decreases from the cycle maximum value to the cycle minimum value of sunspot cycles 19-24 within just 22 months.

  3. 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 ...

  4. Faculae Area as Predictor of Maximum Sunspot Number Chris Bianchi

    E-Print Network [OSTI]

    California at Los Angles, University of

    selected dates between the years of 1965 to 1967, that is during the first two 2 ˝ years of solar cycle 20 measurements with area 1500 millionths of a solar hemisphere, we plotted these values against smoothed sunspot based on a model proposed by Brown and Evans (1980). 1. Introduction The solar cycle is on average an 11

  5. 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.

  6. 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...

  7. 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...

  8. 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...

  9. 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.

  10. Number of honeybee colonies in areas with high and low beekeeping activity in Southern Mexico

    E-Print Network [OSTI]

    Paxton, Robert

    of surrounding secondary forest. The number of colonies was determined by genotyping drones caught on drone congregation areas and assigning the drone genotypes to mother queens each heading a colony. We used three sets

  11. Kliniken und Notrufnummern / Clinics and Energency Numbers Area Code / Vorwahl: 06221

    E-Print Network [OSTI]

    Heermann, Dieter W.

    Kliniken und Notrufnummern / Clinics and Energency Numbers Area Code / Vorwahl: 06221 Klinik für Anästhesiologie Clinic for Aneasthesiology Im Neuenheimer Feld 110 56 63 51 Medizinische Klinik Medical Hospital area code) 110 Deutsches Rotes Kreuz Heidelberg Rescue service German red Cross Heidelberg 19222

  12. 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.

  13. Volume 80A, number 4 PHYSICSLETTERS 8 December 1980 FEIGENBAUM'S RATIOS OF TWO-DIMENSIONAL AREA PRESERVING MAPS

    E-Print Network [OSTI]

    Derrida, Bernard

    Volume 80A, number 4 PHYSICSLETTERS 8 December 1980 FEIGENBAUM'S RATIOS OF TWO-DIMENSIONAL AREA preserv- ing case [10] 217 #12;Volume 80A, number 4 PHYSICS LETTERS 8 December 1980 G(x,y) = (1 -//x 2 +y

  14. 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

  15. 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.

  16. 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

  17. 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:

  18. Marbled murrelet abundance and breeding activity at Naked Island, Prince William Sound, and Kachemak Bay, Alaska, before and after the Exxon Valdez oil spill. Bird study number 6. Exxon Valdez oil spill state/federal natural resource damage assessment final report

    SciTech Connect (OSTI)

    Kuletz, K.J.

    1994-08-01

    The author compared pre- and post-spill abundance and breeding activity of murrelets near the Naked Island group in central Prince William Sound, and in Kachemak Bay in lower Cook Inlet. Murrelet numbers at Naked Island were lower in 1989 than in 1978-1980 but not in 1990-1992. At Kachemak Bay, where oiling was minimal, murrelet densities did not change between 1988 and 1989. The results suggest that the murrelet population at Kachemak Bay, further removed temporally and spatially from the spill epicenter, was not affected as the Naked Island populations in 1989. Murrelet numbers were negatively correlated to numbers of boats at both study sites, and cleanup activities likely contributed to disruption in 1989.

  19. Estimating Upper Bounds for Occupancy and Number of Manatees in Areas Potentially Affected by Oil from the

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    States of America Abstract The explosion of the Deepwater Horizon drilling platform created the largest from the Deepwater Horizon Oil Spill Julien Martin1 *, Holly H. Edwards1 , Florent Bled2 and Number of Manatees in Areas Potentially Affected by Oil from the Deepwater Horizon Oil Spill. PLoS ONE 9

  20. 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

  1. 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.

  2. 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

  3. Calculating Confidence, Uncertainty, and Numbers of Samples When Using Statistical Sampling Approaches to Characterize and Clear Contaminated Areas

    SciTech Connect (OSTI)

    Piepel, Gregory F.; Matzke, Brett D.; Sego, Landon H.; Amidan, Brett G.

    2013-04-27

    This report discusses the methodology, formulas, and inputs needed to make characterization and clearance decisions for Bacillus anthracis-contaminated and uncontaminated (or decontaminated) areas using a statistical sampling approach. Specifically, the report includes the methods and formulas for calculating the • number of samples required to achieve a specified confidence in characterization and clearance decisions • confidence in making characterization and clearance decisions for a specified number of samples for two common statistically based environmental sampling approaches. In particular, the report addresses an issue raised by the Government Accountability Office by providing methods and formulas to calculate the confidence that a decision area is uncontaminated (or successfully decontaminated) if all samples collected according to a statistical sampling approach have negative results. Key to addressing this topic is the probability that an individual sample result is a false negative, which is commonly referred to as the false negative rate (FNR). The two statistical sampling approaches currently discussed in this report are 1) hotspot sampling to detect small isolated contaminated locations during the characterization phase, and 2) combined judgment and random (CJR) sampling during the clearance phase. Typically if contamination is widely distributed in a decision area, it will be detectable via judgment sampling during the characterization phrase. Hotspot sampling is appropriate for characterization situations where contamination is not widely distributed and may not be detected by judgment sampling. CJR sampling is appropriate during the clearance phase when it is desired to augment judgment samples with statistical (random) samples. The hotspot and CJR statistical sampling approaches are discussed in the report for four situations: 1. qualitative data (detect and non-detect) when the FNR = 0 or when using statistical sampling methods that account for FNR > 0 2. qualitative data when the FNR > 0 but statistical sampling methods are used that assume the FNR = 0 3. quantitative data (e.g., contaminant concentrations expressed as CFU/cm2) when the FNR = 0 or when using statistical sampling methods that account for FNR > 0 4. quantitative data when the FNR > 0 but statistical sampling methods are used that assume the FNR = 0. For Situation 2, the hotspot sampling approach provides for stating with Z% confidence that a hotspot of specified shape and size with detectable contamination will be found. Also for Situation 2, the CJR approach provides for stating with X% confidence that at least Y% of the decision area does not contain detectable contamination. Forms of these statements for the other three situations are discussed in Section 2.2. Statistical methods that account for FNR > 0 currently only exist for the hotspot sampling approach with qualitative data (or quantitative data converted to qualitative data). This report documents the current status of methods and formulas for the hotspot and CJR sampling approaches. Limitations of these methods are identified. Extensions of the methods that are applicable when FNR = 0 to account for FNR > 0, or to address other limitations, will be documented in future revisions of this report if future funding supports the development of such extensions. For quantitative data, this report also presents statistical methods and formulas for 1. quantifying the uncertainty in measured sample results 2. estimating the true surface concentration corresponding to a surface sample 3. quantifying the uncertainty of the estimate of the true surface concentration. All of the methods and formulas discussed in the report were applied to example situations to illustrate application of the methods and interpretation of the results.

  4. 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.

  5. 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.

  6. 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

  7. 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...

  8. 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

  9. 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...

  10. 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.

  11. LC Number Title Area SubArea Subject Home A26.5/a:N763/2 Soil Survey of Norfolk, Bristol and Barnstable Coun Massachusetts Norfolk, Bristol, Barnsta Soils Ref

    E-Print Network [OSTI]

    Massachusetts at Amherst, University of

    LC Number Title Area SubArea Subject Home A26.5/a:N763/2 Soil Survey of Norfolk, Bristol and Barnstable Coun Massachusetts Norfolk, Bristol, Barnsta Soils Ref A57.38 H18/4 Soil Survey of Hampshire County Massachusetts C Massachusetts Central Hampshire Cou Soils Ref A57.38/21:H18 Soil Survey of Hampden

  12. 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|

  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. 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

  16. 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...

  17. 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...

  18. Authorized Limits for the Release of a 25 Ton Locomotive, Serial Number 21547, at the Area 25 Engine Maintenance, Assembly, and Disassembly Facility, Nevada Test Site, Nevada

    SciTech Connect (OSTI)

    Jeremy Gwin and Douglas Frenette

    2010-04-08

    This document contains process knowledge and radiological data and analysis to support approval for release of the 25-ton locomotive, Serial Number 21547, at the Area 25 Engine Maintenance, Assembly, and Disassembly (EMAD) Facility, located on the Nevada Test Site (NTS). The 25-ton locomotive is a small, one-of-a-kind locomotive used to move railcars in support of the Nuclear Engine for Rocket Vehicle Application project. This locomotive was identified as having significant historical value by the Nevada State Railroad Museum in Boulder City, Nevada, where it will be used as a display piece. A substantial effort to characterize the radiological conditions of the locomotive was undertaken by the NTS Management and Operations Contractor, National Security Technologies, LLC (NSTec). During this characterization process, seven small areas on the locomotive had contamination levels that exceeded the NTS release criteria (limits consistent with U.S. Department of Energy [DOE] Order DOE O 5400.5, “Radiation Protection of the Public and the Environment”). The decision was made to perform radiological decontamination of these known accessible impacted areas to further the release process. On February 9, 2010, NSTec personnel completed decontamination of these seven areas to within the NTS release criteria. Although all accessible areas of the locomotive had been successfully decontaminated to within NTS release criteria, it was plausible that inaccessible areas of the locomotive (i.e., those areas on the locomotive where it was not possible to perform radiological surveys) could potentially have contamination above unrestricted release limits. To access the majority of these inaccessible areas, the locomotive would have to be disassembled. A complete disassembly for a full radiological survey could have permanently destroyed parts and would have ruined the historical value of the locomotive. Complete disassembly would also add an unreasonable financial burden for the contractor. A decision was reached between the NTS regulator and NSTec, opting for alternative authorized limits from DOE Headquarters. In doing so, NSTec personnel performed a dose model using the DOE-approved modeling code RESRAD-BUILD v3.5 to evaluate scenarios. The parameters used in the dose model were conservative. NSTec’s Radiological Engineering Calculation, REC-2010-001, “Public Dose Estimate from the EMAD 25 Ton Locomotive,” concluded that the four scenarios evaluated were below the 25-millirem per year limit, the “likely” dose scenarios met the “few millirem in a year” criteria, and that the EMAD 25-ton locomotive met the radiological requirements to be released with residual radioactivity to the public.

  19. 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 ...

  20. 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...

  1. 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 ...

  2. 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

  3. 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.

  4. 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

  5. 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...

  6. 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.

  7. Nave Bayes Vibhav Gogate

    E-Print Network [OSTI]

    Gogate, Vibhav

    ,1,2,3,4,5,6,7,8,9} · Stock Prediction ­ Map new, historic prices, etc. to (the real numbers)Â Classification #12;3 Bayesian Approach aardvark 0 about 2 all 2 Africa 1 apple 0 anxious 0 ... gas 1 ... oil 1 ... Zaire 0 #12;9 Bayesian

  8. 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

  9. 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

  10. 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...

  11. 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–

  12. 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

  13. New and Underutilized Technology: High Bay LED Lighting

    Broader source: Energy.gov [DOE]

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

  14. 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

  15. 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...

  16. 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

  17. 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.

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

    Broader source: Energy.gov [DOE]

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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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.

  6. 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.

  7. 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.

  8. 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).

  9. Miscellaneous Numbers FAX ~ Area Code 410

    E-Print Network [OSTI]

    Boynton, Walter R.

    .8390 Maintenance 221.8333 Main House 228.3843 Sea Grant 221.8456 Misc. Phones Salisbury Line 410.883.3021 Trappe Maintenance 8334 Marine Science Lab 8271 MEERC Lab (109) 8226 MEERC Lab (114) 8229 Morris Marine Lobby 8387 Oxford NOAA Lab 410.226.5193 People, Land, Water project 8227 (old GIS lab) Pfiesteria Lab 8421 Pump

  10. 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.

  11. 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

  12. 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...

  13. 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

  14. 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.

  15. 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

  16. 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

  17. 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...

  18. 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

  19. 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.

  20. 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.

  1. 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.

  2. 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.

  3. 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{\

  4. 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

  5. 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

  6. 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{\

  7. 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.

  8. 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

  9. 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...

  10. Change Number

    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 BGene Network ShapingDate: M-16-04-04 Federal FacilityChange Number

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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.

  16. 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

  17. 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.

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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.

  3. 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

  4. 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.

  5. 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.

  6. 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

  7. 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.

  8. 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...

  9. 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...

  10. 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:...

  11. 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.

  12. 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.

  13. 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

  14. 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.

  15. 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.

  16. 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...

  17. 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...

  18. LMS-CMI Research Schools aim to provide training for young researchers in core areas of mathematics. Students and post-docs can meet a number of leading experts in the topic as well as other young researchers working in related areas.

    E-Print Network [OSTI]

    LMS-CMI Research Schools aim to provide training for young researchers in core areas of mathematics working in related areas. The LMS is the UK's learned society for mathematics. Registered charity no. 252660 (www.lms.ac.uk) The CMI is charitable private operating foundation, incorporated in the USA

  19. 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...

  20. 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...

  1. 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.

  2. 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

  3. 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

  4. CRUISE REPORT Cruise Number: MF-02-01, Leg 1 and Leg 2

    E-Print Network [OSTI]

    arrive/port: February 9, 2002/Sand Point, AK (end Leg 2) Participating organizations: NOAA - Alaska of water in the area were also collected. Summary of Operations: Operation Tally CTD casts 19 Mooring casts. On February 3, operations in Chiniak Bay began at 0800 hrs and included CTD casts that preceded

  5. MU student numberVISITING STUDENT APPLICATION UNIVERSITY OF MISSOURI

    E-Print Network [OSTI]

    Taylor, Jerry

    (area code) Telephone number (area code) Cellphone number (area code) Fax number (if available) Student officials, and the completed application is to be sent to the Director of Admissions, University of Missouri, 230 Jesse Hall, Columbia, MO 65211-1300. Because this certification is in lieu of an official

  6. 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

  7. Cathodic Protection of the Yaquina Bay Bridge

    SciTech Connect (OSTI)

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

    2001-02-01

    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.

  8. 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...

  9. 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

  10. 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

  11. 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...

  12. 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,

  13. 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

  14. 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...

  15. 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)

  16. /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/.

  17. 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.

  18. 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

  19. 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...

  20. 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

  1. On Ramsey Numbers

    E-Print Network [OSTI]

    Dhananjay P. Mehendale

    2006-05-24

    In this paper we define new numbers called the Neo-Ramsay numbers. We show that these numbers are in fact equal to the Ramsay numbers. Neo-Ramsey numbers are easy to compute and for finding them it is not necessary to check all possible graphs but enough to check only special kind of graphs having a well-defined adjacency pattern.

  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. 1 -Routing Number 2 -Account Number

    E-Print Network [OSTI]

    Chen, Yiling

    you will need: · Your Harvard University Id Number (HUID) · Your HUID pin number · Your Checking/Savings on the right side of the screen under Payroll and Compensation. #12;*Please, in an effort to save paper and if you do not wish to receive a paper copy of the check. Click the small box above the SAVE button. CLICK

  12. 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

  13. Experimental determination of Ramsey numbers

    E-Print Network [OSTI]

    Zhengbing Bian; Fabian Chudak; William G. Macready; Lane Clark; Frank Gaitan

    2013-08-14

    Ramsey theory is a highly active research area in mathematics that studies the emergence of order in large disordered structures. Ramsey numbers mark the threshold at which order first appears and are extremely difficult to calculate due to their explosive rate of growth. Recently, an algorithm that can be implemented using adiabatic quantum evolution has been proposed that calculates the two-color Ramsey numbers $R(m,n)$. Here we present results of an experimental implementation of this algorithm and show that it correctly determines the Ramsey numbers R(3,3) and $R(m,2)$ for $4\\leq m\\leq 8$. The R(8,2) computation used 84 qubits of which 28 were computational qubits. This computation is the largest experimental implementation of a scientifically meaningful adiabatic evolution algorithm that has been done to date.

  14. 2001 TRAFFIC ZONE BOUNDARIES Zone Numbers

    E-Print Network [OSTI]

    Toronto, University of

    2001 TRAFFIC ZONE BOUNDARIES Zone Numbers & Detailed Definitions #12;2001 TRAFFIC ZONE BOUNDARIES of Toronto Joint Program in Transportation January 2003 #12;PREFACE This report presents the 2001 traffic zone numbers by local municipalities in the 2001 TTS survey area. The second part presents detailed

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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://

  5. 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....

  6. 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

  7. 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

  8. 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 (

  9. 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

  10. 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

  11. 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...

  12. 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

  13. 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 ...

  14. 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...

  15. 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

  16. 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...

  17. 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

  18. 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

  19. 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

  20. 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

  1. Helpful Phone Numbers 2013-14 MCW Numbers *area code is 414 unless noted

    E-Print Network [OSTI]

    :00 pm After Hours: 955-8933 Occupational Health 805-6699 MCW Security Desk Non-emergency 955-2772 Specialty Foods Outpost Natural Foods Coop. 7000 W. State St. 778-2012 Milk N'Honey Natural Foods 10948 W. North Ave. 771-3535 #12;Gas Stations (nearest school) Super America , corner of 92nd & Bluemound Citgo

  2. 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,

  3. 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,

  4. Shannon Capacity Ramsey Numbers

    E-Print Network [OSTI]

    Radziszowski, Stanislaw P.

    Shannon Capacity Ramsey Numbers Old links between Shannon and Ramsey New links between Shannon and Ramsey Bounds on Shannon Capacity and Ramsey Numbers from Product of Graphs Xiaodong Xu1 Stanislaw Institute of Technology, NY, USA March 2014 1/24 #12;Shannon Capacity Ramsey Numbers Old links between

  5. 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...

  6. 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{\

  7. 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.

  8. 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.

  9. 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 

  10. 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-

  11. 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.

  12. Number Theory Seminar

    E-Print Network [OSTI]

    $author.value

    2014-12-03

    Dec 3, 2014 ... TBA, Rachel Davis ... September 26, Rachel Davis .... Dessins d'Enfants · Indiana Pi Bill · Notes and Publications · Number Theory Seminar ...

  13. 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...

  14. 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.

  15. 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

  16. 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

  17. 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...

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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)

  9. 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)

  10. 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

  11. 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:

  12. 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:

  13. 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,

  14. 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

  15. 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

  16. 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

  17. 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,

  18. 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

  19. 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,

  20. 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,

  1. 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,

  2. 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,

  3. 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

  4. 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.

  5. Big Numbers | Jefferson Lab

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

    with a length of 35 cm, which certainly helps . With Avogadro's number and the density of liquid hydrogen, we have about 1024 protons per cm2. We then take the beam of 160...

  6. KPA Activity Number

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

    September 2002 Page 1 KPA Activity Number KPA Activity SEM Section SME Work Product SQSE Web Site http:cio.doe.govsqse REQUIREMENTS MANAGEMENT RM-1 The software engineering...

  7. 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.

  8. Department: Art History Course number: 3050W

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department: Art History Course number: 3050W Course title: African American Art Credits: 3 Contact Person:Jean Givens Content Area: Q/W: W only Catalog Copy:ARTH 3050W African American Art, Either semester. 3 credits The artistic and social legacy of African American art from the eighteenth century

  9. Department :PSYCHOLOGY Course number: 3370 W

    E-Print Network [OSTI]

    Alpay, S. Pamir

    Department :PSYCHOLOGY Course number: 3370 W Course title: Current Topics in Clinical Psychology Psychology. Three credits. Either semester. Prerequisite: PSYC 243 or PSYC 245 or PSYC 245W or consent of instructor. May be repeated for credit with a change in topic. Justification: Clinical psychology is an area

  10. PROCESSING STUDENT RECORDS Generating Permission Numbers

    E-Print Network [OSTI]

    Ottino, Julio M.

    Numbers Find an Existing Value page appears. Enter the desired Term and Subject Area codes in the fields provided or click on the magnifying glass icon to lookup a term or subject (to narrow your search, type to Records and Enrollment, Term Processing, Class Permissions, Class Permissions. The Class Permission

  11. 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

  12. Report number codes

    SciTech Connect (OSTI)

    Nelson, R.N.

    1985-05-01

    This publication lists all report number codes processed by the Office of Scientific and Technical Information. The report codes are substantially based on the American National Standards Institute, Standard Technical Report Number (STRN)-Format and Creation Z39.23-1983. The Standard Technical Report Number (STRN) provides one of the primary methods of identifying a specific technical report. The STRN consists of two parts: The report code and the sequential number. The report code identifies the issuing organization, a specific program, or a type of document. The sequential number, which is assigned in sequence by each report issuing entity, is not included in this publication. Part I of this compilation is alphabetized by report codes followed by issuing installations. Part II lists the issuing organization followed by the assigned report code(s). In both Parts I and II, the names of issuing organizations appear for the most part in the form used at the time the reports were issued. However, for some of the more prolific installations which have had name changes, all entries have been merged under the current name.

  13. 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.

  14. A Hierarchical NeuroBayes-based Algorithm for Full Reconstruction of B Mesons at B Factories

    E-Print Network [OSTI]

    Michael Feindt; Fabian Keller; Michal Kreps; Thomas Kuhr; Sebastian Neubauer; Daniel Zander; Anze Zupanc

    2011-09-19

    We describe a new B-meson full reconstruction algorithm designed for the Belle experiment at the B-factory KEKB, an asymmetric e+e- collider that collected a data sample of 771.6 x 10^6 BBbar pairs during its running time. To maximize the number of reconstructed B decay channels, it utilizes a hierarchical reconstruction procedure and probabilistic calculus instead of classical selection cuts. The multivariate analysis package NeuroBayes was used extensively to hold the balance between highest possible efficiency, robustness and acceptable consumption of CPU time. In total, 1104 exclusive decay channels were reconstructed, employing 71 neural networks altogether. Overall, we correctly reconstruct one B+/- or B0 candidate in 0.28% or 0.18% of the BBbar events, respectively. Compared to the cut-based classical reconstruction algorithm used at the Belle experiment, this is an improvement in efficiency by roughly a factor of 2, depending on the analysis considered. The new framework also features the ability to choose the desired purity or efficiency of the fully reconstructed sample freely. If the same purity as for the classical full reconstruction code is desired ~25%, the efficiency is still larger by nearly a factor of 2. If, on the other hand, the efficiency is chosen at a similar level as the classical full reconstruction, the purity rises from ~25% to nearly 90%.

  15. Final Report: Risk assessment for produced water discharges to Louisiana open bays

    SciTech Connect (OSTI)

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

    1996-03-01

    Potential human health and environmental impacts from discharges of produced water to the Gulf of Mexico are of concern to regulators at the State and Federal levels, the public, environmental interest groups and industry. Current and proposed regulations require a zero discharge limit for coastal facilities, based primarily on studies in low energy, poorly flushed environments. However, produced water discharges in coastal Louisiana include a number of open bay sites, where potential human health and environmental impacts are likely to be smaller than those demonstrated for low energy canal environments, but greater than the minimal impacts associated with offshore discharges. Additional data and assessments are needed to support risk managers at the State and Federal levels in the development of regulations that protect human health and the environment without unnecessary cost to the economic welfare of the region and the nation. This project supports the Natural Gas and Oil Initiative objectives to: (1) improve coordination on environmental research; (2) streamline State and Federal regulation; (3) enhance State, and Federal regulatory decision making capability; (4) enhance dialogue through industry/government/public partnerships; and (5) work with States and Native American Tribes.

  16. UCGE Reports Number 20181

    E-Print Network [OSTI]

    Calgary, University of

    determination, especially in rugged areas. The main theme of this research is to explore different gravimetric in the past nor is it used at present, can become a standard tool for gravimetric geoid determination since the Rudzki geoid performs as well as the Helmert and RTM geoids (in terms of standard deviation and range

  17. UCGE Reports Number 20284

    E-Print Network [OSTI]

    Calgary, University of

    ABSTRACT Oil and gas are global fuels obtained primarily from drilling wells in underground terrestrial reservoirs. Vertical drilling is preferred because of its simplicity and therefore low cost, but subsurfaceUCGE Reports Number 20284 Department of Geomatics Engineering Continuous Measurement-While-Drilling

  18. Student Code Number: Thermodynamics

    E-Print Network [OSTI]

    Feeny, Brian

    Student Code Number: Thermodynamics Ph.D. Qualifying Exam Department of Mechanical Engineering;Thermodynamics Qualifier January 2013 Problem 1 Air is compressed in an axial-flow compressor operating at steady of exergy destruction within the compressor, in kJ per kg of air flowing. #12;Thermodynamics Qualifier

  19. UCGE Reports Number 20146

    E-Print Network [OSTI]

    Calgary, University of

    in considerable operational cost savings for many exploration and open-pit mining companies in the energy sectorUCGE Reports Number 20146 Department of Geomatics Engineering Development of a Mobile Equipment Equipment Management System solution. In the open-pit mining industries there is a need for these companies

  20. Australia NO REGISTRATION NUMBER

    E-Print Network [OSTI]

    Portugal Romania Slovenia Spain Turkey UK USA Australia Austria Belgium Cyprus France Germany Greece#12;#12;Australia Austria Belgium Cyprus France Germany Greece Ireland Italy Japan Macedonia Ireland Italy Japan Macedonia Portugal Romania Slovenia Spain Turkey UK USA #12;NO REGISTRATION NUMBER 1

  1. 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.

  2. 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.

  3. 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.

  4. 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...

  5. 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

  6. 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...

  7. 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...

  8. 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 ...

  9. 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...

  10. 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

  11. 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...

  12. 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 ...

  13. 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

  14. 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.

  15. 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

  16. 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...

  17. 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...

  18. 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.

  19. 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

  20. 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...

  1. 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.

  2. 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...

  3. 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...

  4. Feasibility Study For Use Of Commercial Cask Vendor Dry Transfer Systems To Unload Used Fuel Assemblies In L-Area

    SciTech Connect (OSTI)

    Krementz, Dan; Rose, David; Dunsmuir, Mike

    2014-02-06

    The purpose of this study is to determine whether a commercial dry transfer system (DTS) could be used for loading or unloading used nuclear fuel (UNF) in L-Basin and to determine if a DTS pool adapter could be made for L-Basin Transfer Pit #2 that could accommodate a variety of DTS casks and fuel baskets or canisters up to 24” diameter.[1, 2] This study outlines the technical feasibility of accommodating different vendor dry transfer systems in the L-Basin Transfer Bay with a general work scope. It identifies equipment needing development, facility modifications, and describes the needed analyses and calculations. After reviewing the L-Basin Transfer Bay area layout and information on the only DTS system currently in use for the Nuclear Assurance Corporation Legal Weight Truck cask (NAC LWT), the authors conclude that use of a dry transfer cask is feasible. AREVA was contacted and acknowledged that they currently do not have a design for a dry transfer cask for their new Transnuclear Long Cask (TN-LC) cask. Nonetheless, this study accounted for a potential future DTS from AREVA to handle fuel baskets up to 18” in diameter. Due to the layout of the Transfer Bay, it was determined that a DTS cask pool adapter designed specifically for spanning Pit #2 and placed just north of the 70 Ton Cask lid lifting superstructure would be needed. The proposed pool adapter could be used to transition a fuel basket up to 24” in diameter and ~11 feet long from a dry transfer cask to the basin. The 18” and 24” applications of the pool adapter are pending vendor development of dry transfer casks that accommodate these diameters. Once a fuel basket has been lowered into Pit #2 through a pool adapter, a basket cart could be used to move the basket out from under the pool adapter for access by the 5 Ton Crane. The cost to install a dry transfer cask handling system in L-Area capable of handling multiple vendor provided transport and dry transfer casks and baskets with different diameters and lengths would likely be on the same order of magnitude as the Basin Modifications project. The cost of a DTS capability is affected by the number of design variations of different vendor transport and dry transfer casks to be considered for design input. Some costs would be incurred for each vendor DTS to be handled. For example, separate analyses would be needed for each dry transfer cask type such as criticality, shielding, dropping a dry transfer cask and basket, handling and auxiliary equipment, procedures, operator training, readiness assessments, and operational readiness reviews. A DTS handling capability in L-Area could serve as a backup to the Shielded Transfer System (STS) for unloading long casks and could support potential future missions such as the Idaho National Laboratory (INL) Exchange or transferring UNF from wet to dry storage.

  5. Quantum random number generator

    E-Print Network [OSTI]

    M. Stipcevic; B. Medved Rogina

    2007-01-01

    We report upon a novel principle for realization of a fast nondeterministic random number generator whose randomness relies on intrinsic randomness of the quantum physical processes of photonic emission in semiconductors and subsequent detection by the photoelectric effect. Timing information of detected photons is used to generate binary random digits-bits. The bit extraction method based on restartable clock theoretically eliminates both bias and autocorrelation while reaching efficiency of almost 0.5 bits per random event. A prototype has been built and statistically tested.

  6. Neither Name, Nor Number

    E-Print Network [OSTI]

    Federico Holik

    2011-12-20

    Since its origins, Quantum mechanics has presented problems with the concept of individuality. It is argued that quantum particles do not have individuality, and so, one can speak about "entities without identity". On the contrary, we claim that the problem of quantum non individuality goes deeper, and that one of its most important features is the fact that there are quantum systems for which particle number is not well defined. In this work, we continue this discussion in relation to the problem about the one and the many.

  7. On Some Zarankiewicz Numbers and Bipartite Ramsey Numbers for

    E-Print Network [OSTI]

    Radziszowski, Stanislaw P.

    On Some Zarankiewicz Numbers and Bipartite Ramsey Numbers for Quadrilateral Janusz Dybizba Ramsey number b(n1, · · · , nk) is the least positive integer b such that any coloring of the edges of Kb Ramsey numbers avoiding quadrilateral. In particular, we prove that b4(2) = 19, and establish new general

  8. Using mammographic density to predict breast cancer risk: dense area or percent dense area

    E-Print Network [OSTI]

    Stone, Jennifer; Ding, Jane; Warren, Ruth M L; Duffy, Stephen; Hopper, John L

    2010-11-18

    and dense area were strongly associated with breast cancer risk; however, inclusion of dense area in a PDA-adjusted model improved the pre- diction of breast cancer risk, but not vice versa. This suggests that, in terms of a single parameter, dense area... dense area alone. Conclusions: As a single parameter, dense area provides more information than PDA on breast cancer risk. Introduction A number of prospective, nested case control studies have shown that, for women of the same age, those with greater...

  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. CONFIRMATORY SURVEY RESULTS FOR PORTIONS OF THE MATERIALS AND EQUIPMENT FROM UNITS 1 AND 2 AT THE HUMBOLDT BAY POWER PLANT, EUREKA, CALIFORNIA

    SciTech Connect (OSTI)

    W.C. Adams

    2011-04-01

    The Pacific Gas & Electric Company (PG&E) operated the Humboldt Bay Power Plant (HBPP) Unit 3 nuclear reactor near Eureka, California under Atomic Energy Commission (AEC) provisional license number DPR-7. HBPP Unit 3 achieved initial criticality in February 1963 and began commercial operations in August 1963. Unit 3 was a natural circulation boiling water reactor with a direct-cycle design. This design eliminated the need for heat transfer loops and large containment structures. Also, the pressure suppression containment design permitted below-ground construction. Stainless steel fuel claddings were used from startup until cladding failures resulted in plant system contamination—zircaloy-clad fuel was used exclusively starting in 1965 eliminating cladding-related contamination. A number of spills and gaseous releases were reported during operations resulting in a range of mitigative activities (see ESI 2008 for details).

  11. HOOPER BAY HOUSING ANALYSIS AND ENERGY FEASIBILITY REPORT

    SciTech Connect (OSTI)

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

    2012-12-30

    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.

  12. Brandeis University Environmental Studies current number of majors

    E-Print Network [OSTI]

    Hickey, Timothy J.

    and government agencies to tackle environmental health problems facing primarily low-income residents in areasBrandeis University Environmental Studies fast facts current number of majors and minors: 61 Number- engaged learning Popular second majors: American studies, biology, international and global studies

  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. The Distribution of Ramsey Numbers

    E-Print Network [OSTI]

    Lane Clark; Frank Gaitan

    2014-11-10

    We prove that the number of integers in the interval [0,x] that are non-trivial Ramsey numbers r(k,n) (3 <= k <= n) has order of magnitude (x ln x)**(1/2).

  3. Ordered Ramsey numbers David Conlon

    E-Print Network [OSTI]

    Fox, Jacob

    Ordered Ramsey numbers David Conlon Jacob Fox Choongbum Lee Benny Sudakov§ Abstract Given a labeled graph H with vertex set {1, 2, . . . , n}, the ordered Ramsey number r with vertices appearing in the same order as in H. The ordered Ramsey number of a labeled graph H is at least

  4. Hypergraph Ramsey numbers David Conlon

    E-Print Network [OSTI]

    Fox, Jacob

    Hypergraph Ramsey numbers David Conlon Jacob Fox Benny Sudakov Abstract The Ramsey number rk(s, n). In this paper we obtain new estimates for several basic hypergraph Ramsey problems. We give a new upper bound-color Ramsey number r3(n, n, n), which is the minimum N such that every 3-coloring of the triples

  5. Data Compression with Prime Numbers

    E-Print Network [OSTI]

    Gordon Chalmers

    2005-11-16

    A compression algorithm is presented that uses the set of prime numbers. Sequences of numbers are correlated with the prime numbers, and labeled with the integers. The algorithm can be iterated on data sets, generating factors of doubles on the compression.

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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:

  11. 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...

  12. 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,

  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

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

  14. 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

  15. 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

  16. 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...

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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. ,

  3. 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

  4. 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

  5. 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

  6. 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,

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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.

  12. 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

  13. 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...

  14. 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...

  15. Compendium of Experimental Cetane Numbers

    SciTech Connect (OSTI)

    Yanowitz, J.; Ratcliff, M. A.; McCormick, R. L.; Taylor, J. D.; Murphy, M. J.

    2014-08-01

    This report is an updated version of the 2004 Compendium of Experimental Cetane Number Data and presents a compilation of measured cetane numbers for pure chemical compounds. It includes all available single compound cetane number data found in the scientific literature up until March 2014 as well as a number of unpublished values, most measured over the past decade at the National Renewable Energy Laboratory. This Compendium contains cetane values for 389 pure compounds, including 189 hydrocarbons and 201 oxygenates. More than 250 individual measurements are new to this version of the Compendium. For many compounds, numerous measurements are included, often collected by different researchers using different methods. Cetane number is a relative ranking of a fuel's autoignition characteristics for use in compression ignition engines; it is based on the amount of time between fuel injection and ignition, also known as ignition delay. The cetane number is typically measured either in a single-cylinder engine or a constant volume combustion chamber. Values in the previous Compendium derived from octane numbers have been removed, and replaced with a brief analysis of the correlation between cetane numbers and octane numbers. The discussion on the accuracy and precision of the most commonly used methods for measuring cetane has been expanded and the data has been annotated extensively to provide additional information that will help the reader judge the relative reliability of individual results.

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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

  13. 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

  14. 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

  15. 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...

  16. 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

  17. 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.

  18. 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

  19. 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

  20. 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

  1. 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...

  2. 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.

  3. Number

    Office of Legacy Management (LM)

    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-SessionsSouthReport for the Weldon Spring,7=cr5rnP 7694 i+lJNew York,' , /v-i 2

  4. 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.

  5. Pipeline MT Instructions Identification Number

    E-Print Network [OSTI]

    Hong, Don

    Pipeline MT Instructions Identification Number For identification purposes, you will be assigned a special identification number. M# You can activate your MT email, login to PipelineMT to register for classes or pay tuition and fees. Activating the MTSU Email and PipelineMT accounts: Visit the website

  6. 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.

  7. 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

  8. CRUISE REPORT Cruise Number: SU-9503 Leg-1

    E-Print Network [OSTI]

    CRUISE REPORT Cruise Number: SU-9503 Leg-1 FOCI Number: FOCI NOAA Ship: SURVEYOR Area of Operations 166° 03.1' W Line XIV, Station 86 0927 CTD011 11 182 54° 48.4' N '". 165° 51.3' W Line XIV, Station 0803 CTD018 18 5579 51° 01.1' N 173° 32.7' W Line Station 2 1133 CTD019 19 4741 51° 13.9' N 173° 31

  9. Types of random numbers and Monte Carlo Methods Pseudorandom number generation

    E-Print Network [OSTI]

    Mascagni, Michael

    Types of random numbers and Monte Carlo Methods Pseudorandom number generation Quasirandom number generation Conclusions WE246: Random Number Generation A Practitioner's Overview Prof. Michael Mascagni #12;Types of random numbers and Monte Carlo Methods Pseudorandom number generation Quasirandom number

  10. Decision support systems for automated terminal area air traffic control

    E-Print Network [OSTI]

    Pararas, John Demetrios

    1982-01-01

    This work studies the automation of the terminal area Air Traffic Management and Control (ATM/C) system. The ATM/C decision-making process is analyzed and broken down into a number of "automation functions". Each of these ...

  11. Learning Hierarchical Bag of Words using Naive Bayes Clustering

    E-Print Network [OSTI]

    Cortes, Corinna

    hierarchical models [12] use simple building blocks such as a logistic function to learn complex overall models in these models is that they need real-valued inputs at each layer in the hierarchy and hence the traditional BoW approaches that generate a large number of discrete symbols at lower levels can- not be naturally

  12. Criticism of a Hierarchical Model Using Bayes James H. Albert

    E-Print Network [OSTI]

    Albert, James H.

    in the United States over a two­year period. A Poisson/Gamma exchangeable model is used to learn about the underlying death rates for 94 hospitals. There are concerns about the suitability of this hierarchical model program's patient mix. The fraction z i =e i is the number of deaths per unit exposure and can be viewed

  13. 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...

  14. 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

  15. 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 ...

  16. 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 ...

  17. 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...

  18. 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...

  19. 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

  20. 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

  1. 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

  2. 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.

  3. Motion at low Reynolds number

    E-Print Network [OSTI]

    Tam, Daniel See Wai, 1980-

    2008-01-01

    The work described in this thesis centers on inertialess motion at low Reynolds numbers at the crossroad between biofluids and microfluids. Here we address questions regarding locomotion of micro-swimmers, transport of ...

  4. Departmental Business Instrument Numbering System

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2005-01-27

    The Order prescribes the procedures for assigning identifying numbers to all Department of Energy (DOE) and National Nuclear Security Administration (NNSA) business instruments. Cancels DOE O 540.1. Canceled by DOE O 540.1B.

  5. Departmental Business Instrument Numbering System

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2000-12-05

    To prescribe procedures for assigning identifying numbers to all Department of Energy (DOE), including the National Nuclear Security Administration, business instruments. Cancels DOE 1331.2B. Canceled by DOE O 540.1A.

  6. MOTOR POOL RESERVATIONS Reservation Number:_______________

    E-Print Network [OSTI]

    Ottino, Julio M.

    of Department Chair or Organization Advisor: ________________________________________ Chart String Number: Fund: ______________________________________________________________________ Name of Department or Organization: _____________________________________________________ Name reservations require the "Organization Authorization for University Vehicles" form to be faxed to Motor Pool

  7. 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...

  8. 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.

  9. 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.

  10. Kentucky Natural Gas Number of Residential Consumers (Number of Elements)

    Gasoline and Diesel Fuel Update (EIA)

    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 GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of Elements) Kentucky Natural Gas Number

  11. TRANSPORT NUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION

    E-Print Network [OSTI]

    De Jonghe, Lutgard C.

    2014-01-01

    NUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION LutgardNUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION LutgardNUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION Lutgard

  12. TRANSPORT NUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION

    E-Print Network [OSTI]

    De Jonghe, Lutgard C.

    2012-01-01

    NUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION LutgardNUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION LutgardNUMBER GRADIENTS AND SOLID ELECTROLYTE DEGRADATION Lutgard

  13. Antieigenvalue Analysis, New Applications: Continuum Mechanics, Economics, Number Theory

    E-Print Network [OSTI]

    Karl Gustafson

    2015-04-20

    My recent book Antieigenvalue Analysis, World-Scientific, 2012, presented the theory of antieigenvalues from its inception in 1966 up to 2010, and its applications within those forty-five years to Numerical Analysis, Wavelets, Statistics, Quantum Mechanics, Finance, and Optimization. Here I am able to offer three further areas of application: Continuum Mechanics, Economics, and Number Theory.

  14. THE ASSEMBLY LANGUAGE "MAGAZINE" VOL 1 NUMBER 2 ...

    E-Print Network [OSTI]

    Mar 2, 1989 ... A memory access (fetching the value of a variable) especially using the .... function number within INT 21h AL=0 specify "load and execute" DX .... the function in progress will have lost its entire stack and much of its data area.

  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. Stanford University Department of Environmental Health and Safety G:\\CAP\\CAP Team Forms \\StorageAreaInspFillableForm.pdf Enter Inspection Date

    E-Print Network [OSTI]

    as Hazardous Materials Storage Areas (not laboratories or work areas). 2. Evaluate the storage area during-9999 (24 hours). Building Number Building Name Room Number HAZARDOUS MATERIALS STORAGE AREA: MONTHLYStanford University Department of Environmental Health and Safety G:\\CAP\\CAP Team Forms \\StorageArea

  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. 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.

  20. 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.

  1. 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...

  2. 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

  3. 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

  4. 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

  5. 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

  6. Constrained Ramsey Numbers of Graphs

    E-Print Network [OSTI]

    Jiang, Tao

    Constrained Ramsey Numbers of Graphs Robert E. Jamison,1 Tao Jiang,2* and Alan C. H. Ling3 1-like trees. � 2002 Wiley Periodicals, Inc. J Graph Theory 42: 1­16, 2003 Keywords: Ramsey; monochromatic edges have the same color and rainbow iff all of its edges have different colors. In classical Ramsey

  7. Swimming by numbers QUANTUM CONTROL

    E-Print Network [OSTI]

    Mahadevan, L.

    flow, providing key qualitative insight in fluid mechanics. For example, the so-called Reynolds number be described by a universal mechanical principle seems optimistic -- if not entirely unrealistic. Now, however and pressure forces relevant for net propulsion. A measure of the thrust force is given by the mass

  8. The distribution of prime numbers on the square root spiral

    E-Print Network [OSTI]

    Harry K. Hahn; Robert Sachs

    2008-01-09

    Prime Numbers clearly accumulate on defined spiral graphs,which run through the Square Root Spiral. These spiral graphs can be assigned to different spiral-systems, in which all spiral-graphs have the same direction of rotation and the same -second difference- between the numbers, which lie on these spiral-graphs. A mathematical analysis shows, that these spiral graphs are caused exclusively by quadratic polynomials. For example the well known Euler Polynomial x2+x+41 appears on the Square Root Spiral in the form of three spiral-graphs, which are defined by three different quadratic polynomials. All natural numbers,divisible by a certain prime factor, also lie on defined spiral graphs on the Square Root Spiral (or Spiral of Theodorus, or Wurzelspirale). And the Square Numbers 4, 9, 16, 25, 36 even form a highly three-symmetrical system of three spiral graphs, which divides the square root spiral into three equal areas. Fibonacci number sequences also play a part in the structure of the Square Root Spiral. With the help of the Number-Spiral, described by Mr. Robert Sachs, a comparison can be drawn between the Square Root Spiral and the Ulam Spiral. The shown sections of his study of the number spiral contain diagrams, which are related to my analysis results, especially in regards to the distribution of prime numbers.

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. Assessment of Offshore Wind Energy Leasing Areas for the BOEM Massachusetts Wind Energy Area

    SciTech Connect (OSTI)

    Musial, W.; Parker, Z.; Fields, M.; Scott, G.; Elliott, D.; Draxl, C.

    2013-12-01

    The U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL), under an interagency agreement with the Bureau of Ocean Energy Management (BOEM), is providing technical assistance to identify and delineate leasing areas for offshore wind energy development within the Atlantic Coast Wind Energy Areas (WEAs) established by BOEM. This report focuses on NREL's development of three delineated leasing area options for the Massachusetts (MA) WEA and the technical evaluation of these leasing areas. The overarching objective of this study is to develop a logical process by which the MA WEA can be subdivided into non-overlapping leasing areas for BOEM's use in developing an auction process in a renewable energy lease sale. NREL worked with BOEM to identify an appropriate number of leasing areas and proposed three delineation alternatives within the MA WEA based on the boundaries announced in May 2012. A primary output of the interagency agreement is this report, which documents the methodology, including key variables and assumptions, by which the leasing areas were identified and delineated.

  17. Louisiana Natural Gas Number of Residential Consumers (Number of Elements)

    Gasoline and Diesel Fuel Update (EIA)

    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 GasAdjustments (Billion Cubic Feet) Wyoming963Residential Consumers (Number of33Cubic Foot)Year Jan

  18. California Natural Gas Number of Residential Consumers (Number of Elements)

    Gasoline and Diesel Fuel Update (EIA)

    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 GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979Coal4 ArizonaResidential Consumers (Number of Elements)

  19. Nebraska Natural Gas Number of Industrial Consumers (Number of Elements)

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

    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 PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172 3,009165,360Industrial Consumers (Number of

  20. Nebraska Natural Gas Number of Residential Consumers (Number of Elements)

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

    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 PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,Decade Year-03.823,172 3,009165,360Industrial Consumers (Number

  1. North Dakota Natural Gas Number of Industrial Consumers (Number of

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

    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 PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan FebElements) Industrial Consumers (Number of

  2. North Dakota Natural Gas Number of Residential Consumers (Number of

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

    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 PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYear Jan FebElements) Industrial Consumers (Number

  3. 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.

  4. 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.

  5. CIOSS Fellows' Areas of Expertise Name Research Interests E-mail Phone Number Website

    E-Print Network [OSTI]

    Kurapov, Alexander

    Oceanography Jack Barth Frontal instability processes; coastal ocean dynamics; eastern boundary currents and dynamic methods; prediction of transient currents in the mid-latitude ocean; interannual variation://www.coas.oregonstate.edu/faculty/barth.html Dudley Chelton Mesoscale oceanic eddies; large-scale, low-frequency variability of ocean circulation

  6. 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...

  7. The Fermat and Mersenne Numbers 

    E-Print Network [OSTI]

    Nowlin, W. D.

    1960-01-01

    . (Throughout this thesis, F will always denote a Feraat nmaber and M a Mersenne nuuber. ) The problea of deternining p which of the Fernat and Mersenne nmabers are prius has concerned uany matheuaticians during the last two centuries. This research has... or a Fermat, number. Next? Froth~a theorem, of which Pepin's test is a special case, is stated and proved. In the last section the theory of recurring series is used to establish primality tests of the Lucas type for both the Fermat and Mersenne...

  8. 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...

  9. 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

  10. 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.

  11. DRAFT CRUISE REPORT Cruise Number: DY0807

    E-Print Network [OSTI]

    Neuston (Neu) 68 Deployment of satellite buoy (SatBuoy) 3 Samples Collected Tows Number Number of larvae of buoy or mooring (Deploy) 3 3 Stimulated fluorescence collected during CTD casts (Fluor) 18 Number

  12. 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).

  13. Transfer Area Mechanical Handling Calculation

    SciTech Connect (OSTI)

    B. Dianda

    2004-06-23

    This calculation is intended to support the License Application (LA) submittal of December 2004, in accordance with the directive given by DOE correspondence received on the 27th of January 2004 entitled: ''Authorization for Bechtel SAX Company L.L. C. to Include a Bare Fuel Handling Facility and Increased Aging Capacity in the License Application, Contract Number DE-AC28-01R W12101'' (Arthur, W.J., I11 2004). This correspondence was appended by further Correspondence received on the 19th of February 2004 entitled: ''Technical Direction to Bechtel SAIC Company L.L. C. for Surface Facility Improvements, Contract Number DE-AC28-OIRW12101; TDL No. 04-024'' (BSC 2004a). These documents give the authorization for a Fuel Handling Facility to be included in the baseline. The purpose of this calculation is to establish preliminary bounding equipment envelopes and weights for the Fuel Handling Facility (FHF) transfer areas equipment. This calculation provides preliminary information only to support development of facility layouts and preliminary load calculations. The limitations of this preliminary calculation lie within the assumptions of section 5 , as this calculation is part of an evolutionary design process. It is intended that this calculation is superseded as the design advances to reflect information necessary to support License Application. The design choices outlined within this calculation represent a demonstration of feasibility and may or may not be included in the completed design. This calculation provides preliminary weight, dimensional envelope, and equipment position in building for the purposes of defining interface variables. This calculation identifies and sizes major equipment and assemblies that dictate overall equipment dimensions and facility interfaces. Sizing of components is based on the selection of commercially available products, where applicable. This is not a specific recommendation for the future use of these components or their related manufacturer. A component produced by one manufacturer certainly varies dimensionally from a similar product produced by a different manufacturer. The internal envelope dimensions are dependent on the selection of the individual components. The external envelope dimensions, as well as, key interface dimensions are established within this calculation and are to be treated as bounding dimensions.

  14. Optimal Location and Number of Access Points based on Ray-Tracing and Particle Swarm

    E-Print Network [OSTI]

    Myung, Noh-Hoon

    and number of APs in the interested area. The Particle swarm optimization (PSO), one of the metaheuristic on the PSO. In the PSO algorithm, each particle is assigned to position information of each AP

  15. 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.

  16. 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.

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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

  8. 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,

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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...

  16. 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

  17. 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

  18. 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

  19. Maxwell's equal area law for Lovelock Thermodynamics

    E-Print Network [OSTI]

    Xu, Hao

    2015-01-01

    We present the construction of Maxwell's equal area law for the Guass-Bonnet AdS black holes in $d=5,6$ and third order Lovelock AdS black holes in $d=7,8$. The equal area law can be used to find the number and location of the points of intersection in the plots of Gibbs free energy, so that we can get the thermodynamically preferred solution which corresponds to the first order phase transition. We have the radius of the small and larger black holes in the phase transition which share the same Gibbs free energy. The latent heat can also be calculated. For the third order Lovelock AdS black holes in $d=8$, the first order phase transition can be found in $T_t

  20. Maxwell's equal area law for Lovelock Thermodynamics

    E-Print Network [OSTI]

    Hao Xu; Zhen-Ming Xu

    2015-10-22

    We present the construction of Maxwell's equal area law for the Guass-Bonnet AdS black holes in $d=5,6$ and third order Lovelock AdS black holes in $d=7,8$. The equal area law can be used to find the number and location of the points of intersection in the plots of Gibbs free energy, so that we can get the thermodynamically preferred solution which corresponds to the first order phase transition. We have the radius of the small and larger black holes in the phase transition which share the same Gibbs free energy. The latent heat can also be calculated. For the third order Lovelock AdS black holes in $d=8$, the first order phase transition can be found in $T_t

  1. 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.

  2. 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.

  3. 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.

  4. l1:Leg l2:Leg l3:Leg l4:Leg p1:Person n1:Number

    E-Print Network [OSTI]

    Bergstein, Paul

    :Number Economics Comp_Sci salary r1:Real p1:Professor ssn n1:Number salary r1:Real c1:Course major u1:Undergrad_student ssn n1:Number gpa r1:Real e1:Economics course_assigned t1:TA ssn n1:Number salary r1:Real Undergrad_student Number AreaCourse Adm_assistant Real (a) (b) (c) (d) (e) (f) salary ssn ssn salary gpa ssn

  5. Entropy and Area of Black Holes in Loop Quantum Gravity

    E-Print Network [OSTI]

    I. B. Khriplovich

    2002-03-31

    Simple arguments related to the entropy of black holes strongly constrain the spectrum of the area operator for a Schwarzschild black hole in loop quantum gravity. In particular, this spectrum is fixed completely by the assumption that the black hole entropy is maximum. Within the approach discussed, one arrives in loop quantum gravity at a quantization rule with integer quantum numbers $n$ for the entropy and area of a black hole.

  6. Transmission area and two-photon correlated imaging

    E-Print Network [OSTI]

    Yanfeng Bai; Shensheng Han; Honglin Liu

    2006-11-03

    The relationship between transmission area of an object imaged and the visibility of its image is investigated in a lensless system. We show that the changes of the visibility are quite different when the transmission area is varied by different manners. An increase of the transmission by adding the slit number leads to a decrease of the visibility. While, the change is adverse when the slit width is widened for a given distance between two slits.

  7. Ramsey numbers of sparse hypergraphs David Conlon

    E-Print Network [OSTI]

    Fox, Jacob

    Ramsey numbers of sparse hypergraphs David Conlon Jacob Fox Benny Sudakov Abstract We give a short proof that any k-uniform hypergraph H on n vertices with bounded degree has Ramsey number at most c(, k on the Ramsey number of hypergraphs with at most m edges. 1 Introduction For a graph H, the Ramsey number r

  8. 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.

  9. 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.

  10. 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.

  11. What Those Call Numbers Mean: The Library of Congress Classification System

    E-Print Network [OSTI]

    Hutcheon, James M.

    What Those Call Numbers Mean: The Library of Congress Classification System The call number system that we use in this library, which is called the Library of Congress Classification System subject areas. If you know what letter indicates the classification for the subject you need, you can find

  12. Department for Analysis and Computational Number Theory Additive functions and number systems

    E-Print Network [OSTI]

    Department for Analysis and Computational Number Theory Additive functions and number systems systems April 7, 2010 1 / 35 #12;Department for Analysis and Computational Number Theory Outline Number and Computational Number Theory Number systems Let R be an integral domain, b R, and N = {n1, . . . , nm} R

  13. 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

  14. 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...

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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

  20. 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

  1. 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.

  2. 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

  3. 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)

  4. 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

  5. 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

  6. 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

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

    E-Print Network [OSTI]

    Boynton, Walter R.

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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. Prime number generation and factor elimination

    E-Print Network [OSTI]

    Vineet Kumar

    2014-10-06

    We have presented a multivariate polynomial function termed as factor elimination function,by which, we can generate prime numbers. This function's mapping behavior can explain the irregularities in the occurrence of prime numbers on the number line. Generally the different categories of prime numbers found till date, satisfy the form of this function. We present some absolute and probabilistic conditions for the primality of the number generated by this method. This function is capable of leading to highly efficient algorithms for generating prime numbers.

  14. 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.

  15. Paper number 275 n-1 International Symposium on Fluid Control,

    E-Print Network [OSTI]

    , in the aircraft landing gear wells or in the weapon bays of modern supersonic military airplanes. Such resonance control approach, which utilizes supersonic microjet actuators, has been applied to suppress the flow, Supersonic Cavity Flow, Particle image velocimetry 1. Introduction Cavity flow has been the focus of research

  16. 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

  17. 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

  18. 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

  19. Turing's normal numbers: towards randomness Veronica Becher

    E-Print Network [OSTI]

    presumably in 1938 Alan Turing gave an algorithm that produces real numbers normal to every integer base- putable normal numbers, and this result should be attributed to Alan Turing. His manuscript entitled "A

  20. Natural Areas Analysis and Evaluation: Oak Ridge Reservation

    SciTech Connect (OSTI)

    Baranski, Micahel J

    2009-11-01

    EXECUTIVE SUMMARY The Oak Ridge Reservation, encompassing 33,639 acres in the Valley and Ridge Physiographic Province of East Tennessee, has long been known for its unfragmented forests and high biodiversity. Many areas on the Reservation have been recognized as important natural areas, but no comprehensive treatment has been performed to evaluate the relative significance and importance of these areas compared to each other. The present study was conducted to develop a set of guidelines for evaluating the natural value of specific areas, to evaluate all the terrestrial areas that are currently delineated, and to rank all areas according to their relative biodiversity importance. All available data, reports and site-specific information relevant to Reservation lands, including Tennessee Division of Natural Areas database information, were evaluated and field work was conducted. Methodologies and criteria for assessment and evaluation of areas were developed; categories of criteria were devised; and a ranking system for evaluation of natural areas was produced. There were 70 areas evaluated during the study. The system is flexible, dynamic and easily revised to reflect updated and new information and interpretations. Eight categories of evaluation factors were established and used to characterize each site. These were the following: size of area, number or status taxa present, number of Endangered and Threatened taxa present, rarity of the Endangered and Threatened taxa on the Reservation, community diversity, site integrity and quality, disturbance and threat levels, and other significant features and factors. Each category generally consisted of a 5-point ranking scale from 0-4, allowing for a possible composite score of 32, with higher ranked, more important, sites attaining higher scores. Highly ranked sites are representative of regional natural diversity; contain outstanding natural features, communities or geology and/or very rare taxa or other elements; are relatively large in size with mature or old-growth community composition; lack current disturbance factors or potential threats and disturbances; are in excellent condition with good buffers; are places where ecological and evolutionary processes can occur relatively unaffected by humans; and can be reasonably defended and maintained as natural areas in an undeveloped condition. Highly ranked sites are the most significant and should receive the greatest protections. Composite scores of the ranked areas ranged from 1-25.5, with a mean score of 12. The ranked areas were divided into three Priority Groups. Group I, the most highly ranked group, included 20 sites and covered 5189 acres or 15.4% of Reservation lands; Group II included 31 sites and covered 4108 acres; Group III included 19 sites covering 400 acres of Reservation lands. All sites together comprise 9697 acres or 28.8% of Reservation lands. Six sites emerged as clearly the most significant natural areas on the Reservation. The study developed a number of recommendations that should be implemented in order to enhance and refine the natural areas data for the Reservation. There is a clear need for better and standardized ecological community classification and identification. Several areas are proposed for merger into larger units, and some new areas are proposed for inclusion and recognition in a natural areas system. Various gaps and discrepancies in the existing data are described and should be corrected. Other recommendations are made, including the development of a corollary system that can accommodate aquatic natural areas. The study relied primarily on the synthesis of information from many sources and from limited reconnaissance and direct observation during field work to produce a methodology for assessing natural area importance and assigning priorities for protection. Many instances of incomplete, missing or conflicting information made it difficult to complete thorough analysis. Further review and discussion among natural resources personnel will likely reveal possibilities for refinement and