National Library of Energy BETA

Sample records for determination pedro bay

  1. 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 

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

    SciTech Connect (OSTI)

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

    2012-01-03

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

  3. CX-000104: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  4. Pedro Bay Village Council (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 ECoop Inc Jump to:Newberg,Energy LLC Jump to:3 ofAltos delValley El Pwr Assn

  5. 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

  6. PEDRO (Petroleum Electronic Data Reporting Option) user guide

    SciTech Connect (OSTI)

    Not Available

    1990-11-01

    PEDRO is an electronic data communications product that simplifies filing and transmission of petroleum survey data. Your burden is significantly reduced as PEDRO eliminates paperwork, provides immediate onsite correction of data errors, and reduces the need for followup calls and survey resubmission. PEDRO provides an online error-checking process that highlights discrepancies. This permits you to enter and check data before transmitting to EIA. EIA then combines and reformats the data from different users for use by analytical and reporting programs. PEDRO is available at no cost to the user. Formal training is not required since installation, data processing, and transmission are done by interactive, user-friendly menu options. The PEDRO system is divided into three functions: (1) data processing, (2) transmitting data to EIA, and (3) EIA processing. 28 figs.

  7. Pedro Communications Patch for All Versions

    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)Decade Year-0 Year-1 Year-2 Year-3+Elements) Gas6 FebruaryCubicPedro

  8. Precisely determined the spent nuclear fuel antineutrino flux and spectrum for Daya Bay antineutrino experiment

    E-Print Network [OSTI]

    Ma, X B; Chen, Y X; Zhong, W L; An, F P

    2015-01-01

    Spent nuclear fuel (SNF) antineutrino flux is an important source of uncertainties for a reactor neutrino flux prediction. However, if one want to determine the contribution of spent fuel, many data are needed, such as the amount of spent fuel in the pool, the time after discharged from the reactor core, the burnup of each assembly, and the antineutrino spectrum of the isotopes in the spend fuel. A method to calculate the contribution of SNF is proposed in this study. In this method, reactor simulation code verified by experiment have been used to simulate the fuel depletion by taking into account more than 2000 isotopes and fission products, the quantity of SNF in each six spend fuel pool, and the antineutrino spectrum of SNF varying with time after SNF discharged from core. Results show that the contribution of SNF to the total antineutrino flux is about 0.26%~0.34%, and the shutdown impact is about 20%. The SNF spectrum would distort the softer part of antineutrino spectra, and the maximum contribution fro...

  9. Precisely determined the spent nuclear fuel antineutrino flux and spectrum for Daya Bay antineutrino experiment

    E-Print Network [OSTI]

    X. B. Ma; Y. F. Zhao; Y. X. Chen; W. L. Zhong; F. P. An

    2015-12-23

    Spent nuclear fuel (SNF) antineutrino flux is an important source of uncertainties for a reactor neutrino flux prediction. However, if one want to determine the contribution of spent fuel, many data are needed, such as the amount of spent fuel in the pool, the time after discharged from the reactor core, the burnup of each assembly, and the antineutrino spectrum of the isotopes in the spend fuel. A method to calculate the contribution of SNF is proposed in this study. In this method, reactor simulation code verified by experiment have been used to simulate the fuel depletion by taking into account more than 2000 isotopes and fission products, the quantity of SNF in each six spend fuel pool, and the antineutrino spectrum of SNF varying with time after SNF discharged from core. Results show that the contribution of SNF to the total antineutrino flux is about 0.26%~0.34%, and the shutdown impact is about 20%. The SNF spectrum would distort the softer part of antineutrino spectra, and the maximum contribution from SNF is about 3.0%, but there is 18\\% difference between line evaluate method and under evaluate method. In addition, non-equilibrium effects are also discussed, and the results are compatible with theirs considering the uncertainties.

  10. Nutritional Assessment of the Elderly of San Pedro Ayampuc, Guatemala: Evaluation of Anthropometry, Biochemistry, and Helminthic Infection

    E-Print Network [OSTI]

    King, Jane E

    1991-01-01

    y Asistencia Social. Guatemala en Cifras de Salud AnuarioSan Pedro Ayampuc, Guatemala: Evaluation of Anthropometry,of San Pedro Ayampuc, Guatemala, without whose enthusiasm

  11. Simulation vs Real Execution in DCOP Solving Francisco Cruz, Patricia Gutierrez, Pedro Meseguer

    E-Print Network [OSTI]

    Yeoh, William

    Simulation vs Real Execution in DCOP Solving Francisco Cruz, Patricia Gutierrez, Pedro Meseguer environment they try to recreate. #12;2 Francisco Cruz, Patricia Gutierrez, Pedro Meseguer Typically, DCR

  12. 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...

  13. Formula-Based Probabilistic Inference Vibhav Gogate and Pedro Domingos

    E-Print Network [OSTI]

    Gogate, Vibhav

    Formula-Based Probabilistic Inference Vibhav Gogate and Pedro Domingos Computer Science Computing the probability of a formula given the probabilities or weights associated with other formulas: formula decomposition and conditioning, which is an exact method, and formula importance sampling, which

  14. Dirio Digital DIRECTOR: PEDRO CURVELO Ensino | Cincia e Tecnologia | Ambiente

    E-Print Network [OSTI]

    Instituto de Sistemas e Robotica

    ambiente, o clima, a energia, a educação, o desporto e o território. Diário Digital com Lusa Fusão dasDiário Digital DIRECTOR: PEDRO CURVELO Ensino | Ciência e Tecnologia | Ambiente 02-01-2013 às 14

  15. Toward Knowledge-Rich Data Mining Pedro Domingos

    E-Print Network [OSTI]

    Domingos, Pedro

    Toward Knowledge-Rich Data Mining Pedro Domingos Department of Computer Science and Engineering University of Washington Seattle, WA 98195 pedrod@cs.washington.edu 1 The Knowledge Gap Data mining has made tremendous progress in the last ten years. However, a large gap remains between the results a data mining

  16. A Compact and Scalable RNS Architecture Pedro Miguens Matutino

    E-Print Network [OSTI]

    Sousa, Leonel

    A Compact and Scalable RNS Architecture Pedro Miguens Matutino ISEL / INESC-ID / IST, Technical a unified architecture for designing Residue Number System (RNS) based processors for moduli sets with an arbitrary number of channels. Recently, new RNS moduli sets have been proposed in order to increase

  17. RNS Arithmetic Units for Modulo {2n Pedro Miguens Matutino

    E-Print Network [OSTI]

    Sousa, Leonel

    RNS Arithmetic Units for Modulo {2n ± k} Pedro Miguens Matutino ISEL/INESC-ID/IST Lisbon, Portugal (hector,rjfc,las)@sips.inesc-id.pt Abstract--Recently new Residue Number Systems (RNS) moduli sets have. In this paper we propose improved units for addition, subtraction, and multiplication in RNS for modulo {2n ± k

  18. TEORIJA IN PRAKSA let. 47, 5/2010 Pedro PERISTA*

    E-Print Network [OSTI]

    Birmingham, University of

    expectancy at birth and decrease in death rates are reducing this decline but they in turn pose a significant- teristic Portuguese emigration, the decreasing birth rates are far below the level needed and creating important challenges for a late and weak welfare state * Pedro Perista, researcher, CESIS ­ Centre

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

    E-Print Network [OSTI]

    Cohan, Alexander; Wu, Jun; Dabdub, Donald

    2011-01-01

    mixing  with  chemical?reaction  in  the  planetary transport and not chemical reactions.  Hence, while  cold 

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

    E-Print Network [OSTI]

    Cohan, Alexander; Wu, Jun; Dabdub, Donald

    2011-01-01

    of  the  Air  and  Waste  Management  Association 60, 402?of  the  Air  and  Waste  Management  Association 58, 1288?of the Air  and Waste Management Association 50, 378?390.  

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

    E-Print Network [OSTI]

    Cohan, Alexander; Wu, Jun; Dabdub, Donald

    2011-01-01

    Energy, and Sustainable Resources.   Supporting Material Available  Seasonal  variability  of  emissions  (Figure  S1),  wind 

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

    E-Print Network [OSTI]

    Cohan, Alexander; Wu, Jun; Dabdub, Donald

    2011-01-01

    as increased transport during cold months.  In addition, to predict the transport of emissions in a cold and  a  hot cold  months  produce  increased  dispersion  transport 

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

    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) Wyoming Dry NaturalPrices1Markets16 (next20,System - Patch Archive PEDRO

  4. 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.

  5. 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

  6. Dynamic Programming and Graph Algorithms in Computer Vision Pedro F. Felzenszwalb and Ramin Zabih

    E-Print Network [OSTI]

    Field, David

    : Combinatorial Algorithms, Vision and Scene Understanding, Artificial Intelligence, Computing Methodologies 1Dynamic Programming and Graph Algorithms in Computer Vision Pedro F. Felzenszwalb and Ramin Zabih, and has been successfully applied to many vision problems. Discrete optimization techniques are especially

  7. Pedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann Lisbon, Portugal Ladenburg, Germany Pittsburgh, USA

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    utilities, electrical power Availability Price Challenging aspect of plant scheduling Current practice Location of event points unknown a priori Electricity pricing & availability Product due dates LocationPedro M. Castro Iiro Harjunkoski Ignacio E. Grossmann Lisbon, Portugal Ladenburg, Germany

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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...

  13. 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...

  14. 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.

  15. TORIC GEOMETRY AND THE SEMPLE-NASH MODIFICATION PEDRO D. GONZALEZ PEREZ AND BERNARD TEISSIER

    E-Print Network [OSTI]

    González Pérez, Pedro Daniel

    TORIC GEOMETRY AND THE SEMPLE-NASH MODIFICATION PEDRO D. GONZ´ALEZ P´EREZ AND BERNARD TEISSIER. In the second part this is used to show that iterating the Semple-Nash modification or its characteristic]. If the field is of characteristic zero, this blowing-up is isomor- phic to the Semple-Nash modification. Recall

  16. SUPPORT FOR OPEN TOOLS AND SYSTEMS s Carrico, Pedro Antunes, Nuno Guimar~aes,

    E-Print Network [OSTI]

    Antunes, Pedro

    SUPPORT FOR OPEN TOOLS AND SYSTEMS Lu s Carrico, Pedro Antunes, Nuno Guimar~aes, Paula Pereira,paa,nmgg@inesc.pt Abstract: The constructionof interactive tools for currentcomputingenvironmentsrelies upon a generic set foundational components that support the construction of these tools. Two di erent tools, an application

  17. Mining Knowledge-Sharing Sites for Viral Marketing Matthew Richardson and Pedro Domingos

    E-Print Network [OSTI]

    Domingos, Pedro

    Mining Knowledge-Sharing Sites for Viral Marketing Matthew Richardson and Pedro Domingos Department,pedrod}@cs.washington.edu ABSTRACT Viral marketing takes advantage of networks of influence among customers to inexpensively achieve marketing plan. Knowledge-sharing sites, where customers review products and advise each other

  18. Deploying Google Search by Voice in Cantonese Yun-Hsuan Sung, Martin Jansche, Pedro J. Moreno

    E-Print Network [OSTI]

    Cortes, Corinna

    was launched in December 2010. Index Terms: voice search, Cantonese speech recognition, mul- tilingual speech to speak search queries instead of entering Chinese characters on mobile devices. We believe ourDeploying Google Search by Voice in Cantonese Yun-Hsuan Sung, Martin Jansche, Pedro J. Moreno

  19. Multi-Robot Cooperative Object Tracking Based on Particle Filters Aamir Ahmad Pedro Lima

    E-Print Network [OSTI]

    1 Multi-Robot Cooperative Object Tracking Based on Particle Filters Aamir Ahmad Pedro Lima Institute for Systems and Robotics, Instituto Superior T´ecnico, Lisboa, Portugal Abstract-- This article presents a cooperative approach for tracking a moving object by a team of mobile robots equipped

  20. Modeling Chemical Reactions with Single Reactant Specie Abhyudai Singh and Jo~ao Pedro Hespanha

    E-Print Network [OSTI]

    Hespanha, Joăo Pedro

    Modeling Chemical Reactions with Single Reactant Specie Abhyudai Singh and Jo~ao Pedro Hespanha Abstract-- A procedure for constructing approximate stochastic models for chemical reactions involving involved in a chemical reaction as the continuous state of a polynomial Stochastic Hybrid System (p

  1. ROM-less RNS-to-binary converter moduli Pedro Miguens Matutino

    E-Print Network [OSTI]

    Sousa, Leonel

    ROM-less RNS-to-binary converter moduli {22 - 1, 22 + 1, 2 - 3, 2 + 3} Pedro Miguens Matutino ISEL--In this paper, a novel ROM-less RNS-to-binary converter is proposed, using a new balanced moduli set {22 - 1, 22 metric can be achieved for the full RNS architecture using the proposed moduli set. Keywords

  2. Binary-to-RNS conversion units for moduli {2n Pedro Miguens Matutino

    E-Print Network [OSTI]

    Sousa, Leonel

    Binary-to-RNS conversion units for moduli {2n ± 3} Pedro Miguens Matutino Department of Electronics@inesc-id.pt Abstract--In this paper Residue Number Systems (RNS) con- version structures from Binary to RNS modulo {2n Residue Number Systems (RNS) are a good alternative to the conventional arithmetic, based on a weighted

  3. Multiplier-based Binary-to-RNS Converter Modulo {2n +-k} Pedro Miguens Matutino

    E-Print Network [OSTI]

    Sousa, Leonel

    125 Multiplier-based Binary-to-RNS Converter Modulo {2n +- k} Pedro Miguens Matutino ISEL for binary- to-RNS conversion modulo {2n ± k} is proposed. The proposed structure is based on adders know to date. I. INTRODUCTION The modular characteristics of Residue Number System (RNS) offers

  4. Evaluation of Seepage from an Embankment Dam Retaining Pedro J. Amaya1

    E-Print Network [OSTI]

    Evaluation of Seepage from an Embankment Dam Retaining Fly Ash Pedro J. Amaya1 ; John T. Massey of fly ash-laden seepage from the right abutment of an earthen dam are presented herein fly ash reached the level of the prior landslide, the fly ash-laden seepage migrated through

  5. Business-Specific Languages for Organizational Modeling Joo Paulo Pedro Mendes de Sousa Saraiva 1

    E-Print Network [OSTI]

    da Silva, Alberto Rodrigues

    Business-Specific Languages for Organizational Modeling Joăo Paulo Pedro Mendes de Sousa Saraiva 1, there are many languages for business modeling, such as UML, BPMN and EPBE, which are well suited to describe. In business user- models, those concepts are usually only present as element names, and thus the modeling tool

  6. Submarine landslides of San Pedro Escarpment, southwest of Long Beach, California

    E-Print Network [OSTI]

    New Hampshire, University of

    failures and active faults, either of which could have generated a tsunami, are known on the shelf anticlinorium. The Palos Verdes slide could potentially have generated a failure- related tsunami and slope near Long Beach. Large slope failures are present on the San Pedro Escarpment and on the basin

  7. Marine microbial diversity: can it be determined?

    E-Print Network [OSTI]

    Marine microbial diversity: can it be determined? Carlos Pedro´ s-Alio´ Institut de Cie`ncies del of magnitude for the total number of microbial species on Earth range from 103 to 109 . Despite global as the recently discovered photoheter- otrophy in the sea) that force a re-evaluation of carbon and energy fluxes

  8. 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...

  9. 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

  10. Algoritmo de Viso para Humanos Virtuais Pedro Semio, Maria Beatriz Carmo, Ana Paula Cludio

    E-Print Network [OSTI]

    Carmo, Maria Beatriz

    Algoritmo de Visão para Humanos Virtuais Pedro Semião, Maria Beatriz Carmo, Ana Paula Cláudio algoritmo de visão sintética, baseado em ray casting, integrado nesta plataforma. Através deste algoritmo um de algoritmos de visão. Na secção 2, identificam-se os tipos de soluções encontradas na literatura

  11. 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...

  12. 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...

  13. 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

  14. 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 ...

  15. Host nutrition alters the variance in parasite transmission Pedro F. Vale, Marc Choisy and Tom J. Little

    E-Print Network [OSTI]

    Obbard, Darren

    potential Host nutrition alters the variance in parasite transmission Pedro F. Vale, Marc Choisy://rsbl.royalsocietypublishing.org/content/suppl/2013/02/07/rsbl.2012.1145.DC1. "Data Supplement" References http in parasite transmission potential. Biol Lett 9: 20121145. http://dx.doi.org/10.1098/rsbl.2012.1145 Received

  16. Decimal multiplication on FPGA based on a RNS representation Pedro Miguens Matutino , Ricardo Chaves, Horacio Neto, Leonel Sousa

    E-Print Network [OSTI]

    Sousa, Leonel

    Decimal multiplication on FPGA based on a RNS representation Pedro Miguens Matutino , Ricardo of implementing Decimal multi- plication operators using Residue Number Systems (RNS). This work proposes new RNS have better performances in RNS when com- pared with the binary representation. However, the conver

  17. 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 ...

  18. 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 ...

  19. 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

  20. 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

  1. 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...

  2. 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

  3. 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

  4. 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...

  5. 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–

  6. 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

  7. 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.

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

    E-Print Network [OSTI]

    Wiegel, Robert L.

    2009-01-01

    lowlands are given. The subsidence ranged from 0.002 ft. /California, USA," in Land Subsidence. Proceedings a/theJames, and U.S. Grant, "Subsidence in the Long Beach Harbor

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

    E-Print Network [OSTI]

    Wiegel, Robert L.

    2009-01-01

    Ill, No.8, Aug. 1983, pp Seymour, Richard L, R. Rae Strange1985, Vol. 1, pp 577-592 Seymour, Richard J. , "Editorial.off Point Conception; see Seymour, Castel, et aI. , 1993 for

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

    E-Print Network [OSTI]

    Wiegel, Robert L.

    2009-01-01

    of the Long Beach Naval Shipyard, Long Beach, California,Long Beach Naval Shipyard Employees Association, Inc, CA,in the Long Beach Naval Shipyard, about 23 feet by August

  11. 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

  12. 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.

  13. 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

  14. 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.

  15. 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.

  16. 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

  17. 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

  18. 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...

  19. 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.

  20. 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

  1. 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

  2. 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...

  3. 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

  4. 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.

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

    SciTech Connect (OSTI)

    Kushman, Chris

    2014-02-03

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

  6. 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.

  7. 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.

  8. 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{\

  9. 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

  10. 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

  11. 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

  12. 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{\

  13. 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.

  14. 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

  15. 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...

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

  7. 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

  8. 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.

  9. 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...

  10. 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...

  11. 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:...

  12. 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.

  13. 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.

  14. 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

  15. 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.

  16. 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.

  17. 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...

  18. 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...

  19. 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.

  20. 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...

  1. 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...

  2. 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...

  3. 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

  4. 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

  5. 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

  6. 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.

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

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

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

  8. 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. 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.

  16. 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...

  17. CX-000750: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Characterization of Pilocene and Miocene Formations in the Wilmington Graben, Offshore Los Angeles for Large Scale Geologic Storage of Carbon Dioxide (Terminal Island Drilling)CX(s) Applied: A9, B3.1Date: 01/29/2010Location(s): San Pedro, CaliforniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  18. 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

  19. 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.

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

    SciTech Connect (OSTI)

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

    2014-10-01

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

  1. 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

  2. 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.

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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...

  8. 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

  9. 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.

  10. 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.

  11. 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

  12. 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.

  13. 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,

  14. 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,

  15. 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...

  16. 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{\

  17. 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.

  18. 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.

  19. 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 &...

  20. 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-

  1. 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...

  2. 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.

  3. 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

  4. 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

  5. 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...

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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...

  12. 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

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

    SciTech Connect (OSTI)

    Not Available

    2010-07-01

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

  14. 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

  15. 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

  16. 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

  17. 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.

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

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

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

    2015-02-01

    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)

  19. 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)

  20. 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

  1. 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:

  2. 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:

  3. 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,

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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,

  9. 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

  10. 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,

  11. 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,

  12. 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,

  13. 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,

  14. 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

  15. Pedro J. Miana Analisis Funcional

    E-Print Network [OSTI]

    Miana, Pedro J.

    como ecuaciones integrales, superficies minimales, ecuaciones en derivadas parciales, an´alisis arm´ua en el pro- blema de la cuerda y membrana vibrantes y los problemas de contorno de las ecuaciones ecuaciones integrales. Volterra al estudiar la variaci´on del ´area encerrada por una curva cuando la curva

  16. Extreme Programming (XP) Pedro Cabalar

    E-Print Network [OSTI]

    Cabalar, Pedro

    · Warning! XP hacking XP code-and-fix programming XP = disciplined development customers ­Business analysts or marke>ng specialists in the same company than SW

  17. 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.

  18. 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).

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

    SciTech Connect (OSTI)

    KETTELL, S.; ET AL.

    2006-10-16

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

  20. CX-007075: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wisconsin-City-Green BayCX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1Date: 09/27/2011Location(s): Green Bay, WisconsinOffice(s): Energy Efficiency and Renewable Energy, Savannah River Operations Office

  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. Ash Determinations 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

    Germination of Ashe juniper seed were compared in a controlled environment at different levels of fruit maturation, lengths of storage, and seed stratification to determine potential germination. Annual mean germination varied by an order...

  3. 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.

  4. 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.

  5. 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.

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

    SciTech Connect (OSTI)

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

    2014-09-01

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

  7. 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

  8. 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...

  9. 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

  10. 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...

  11. 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...

  12. 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 ...

  13. 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...

  14. 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

  15. 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...

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

    E-Print Network [OSTI]

    Hawley, Patrick Emmett

    1994-01-01

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

  17. 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

  18. 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.

  19. 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

  20. 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...

  1. 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...

  2. 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

  3. 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...

  4. 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.

  5. 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...

  6. 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...

  7. 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.

  8. 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

  9. 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.

  10. 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.

  11. 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.

  12. CX-005035: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-003416: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biomass Fuel PelletsCX(s) Applied: B2.5, B5.1Date: 08/16/2010Location(s): Green Bay, WisconsinOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  14. CX-005563: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Michigan-Tribal Energy Program-Keweenaw Bay Indian CommunityCX(s) Applied: A9, A11, B3.1Date: 04/04/2011Location(s): MichiganOffice(s): Energy Efficiency and Renewable Energy

  15. CX-011139: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    105-L Transfer Bay Drainage Repair CX(s) Applied: B1.3 Date: 08/27/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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.

  2. 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...

  3. 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

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

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

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

    E-Print Network [OSTI]

    Shenton, Edward Heriot

    1957-01-01

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

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

    E-Print Network [OSTI]

    Boslet, Jane Murray

    1989-01-01

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

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

    SciTech Connect (OSTI)

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

    2011-11-01

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

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

    Open Energy Info (EERE)

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

  9. 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

  10. Asymptotic Bayes Criteria for Nonparametric Response Surface Design

    E-Print Network [OSTI]

    Toby Mitchell; Jerome Sacks; Donald Ylvisaker

    2011-01-01

    Let a design call for rti observations at Ł/, / = 1, ,sites *r+i> • • •»t \\ rti + • • • + n = n. Consider theobservation at t . The first rti rows of this determinant

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Oakley, Jeremy

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Hill, Wendell T.

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

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

    E-Print Network [OSTI]

    Zell, Andreas

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

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

    E-Print Network [OSTI]

    Columbia University

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Colwell, Mark

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Han, Weiqing

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

  6. 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

  7. 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

  8. 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

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

    E-Print Network [OSTI]

    Gilbes, Fernando

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

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

    E-Print Network [OSTI]

    Cortes, Corinna

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

  11. 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. 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...

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. 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

  18. 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

  19. 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

  20. 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.

  1. 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.

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

    E-Print Network [OSTI]

    Cook, Gregory D.

    1997-01-01

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

  3. Development of a decadal-scale estuarine geomorphic model for Suisun Bay, California: calibration, validation, and idealized time-stepping

    E-Print Network [OSTI]

    Ganju, Neil K; Schoellhamer, David H; Younis, Bassam A

    2006-01-01

    summer cause wind-wave resuspension of bottom sediment inflow, tidal energy, wind-wave resuspension in San Pablo Bay.flow and wind-wave resuspension was superimposed on a

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

    E-Print Network [OSTI]

    McCreery, Helen F

    2007-01-01

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

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

    E-Print Network [OSTI]

    Hyatt, Jason

    2006-01-01

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

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

    E-Print Network [OSTI]

    Islam, Mohammad S.

    2010-07-14

    in real-time monitoring of hydrodynamic, meteorological and water quality parameters in the bay. Three different platform types used for the installation of sensor systems are: 1) Fixed Robotic, 2) Mobile, and 3) Remote. An automated profiler system...

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

    E-Print Network [OSTI]

    Pettijohn, Burkely Ashton

    2014-02-10

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

  8. 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

  9. 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

  10. Published: December 12, 2011 r 2011 American Chemical Society 551 dx.doi.org/10.1021/es202392g |Environ. Sci. Technol. 2012, 46, 551558

    E-Print Network [OSTI]

    Denver, University of

    emissions as a result of new, stoichiometrically combusted, liquefied natural gas powered trucks the San Pedro Bay Ports Clean Air Action Plan (CAAP).11,12 The CAAP addressed all of the various port

  11. 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...

  12. CX-002374: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  13. CX-003544: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  14. CX-002000: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Efficiency and Conservation Block Grant - Energy Efficiency Retrofits for Littauer Property Barn ComplexCX(s) Applied: A9, A11, B5.1Date: 04/28/2010Location(s): Oyster Bay, New YorkOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  15. CX-100157 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    NREL - GSA Alexandria Bay NY Border Station-Addition of SODAR Unit; NREL Tracking No. 15-008 Award Number: DE-AC36-08GO28308 CX(s) Applied: A9, B3.1 Date: 12/23/2014 Location(s): NY Office(s): Golden Field Office

  16. CX-002284: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Environmental Effects of Sediment Transport Alteration and Impacts on Protected Species: Edgartown Tidal Energy ProjectCX(s) Applied: B3.1, B3.3, B3.6, A9Date: 05/10/2010Location(s): Muskegot Bay Area, MassachusettsOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  17. CX-007090: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    United States Navy Security System UpgradesCX(s) Applied: B1.15, B2.2Date: 05/24/2011Location(s): Albuquerque, NM; Kings Bay, GA; Bangor, WA, Georgia, New Mexico, WashingtonOffice(s): NNSA-Headquarters, Sandia Site Office

  18. 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...

  19. 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.

  20. 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.

  1. 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.

  2. 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.

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

    SciTech Connect (OSTI)

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

    1996-01-01

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

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

    SciTech Connect (OSTI)

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

    1996-12-31

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

  5. 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.

  6. 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.

  7. 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

  8. 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

  9. 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

  10. 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

  11. Pedro Waloschek as Life-Savers

    E-Print Network [OSTI]

    ................................. 17 3 Richard Gans and Heinz Schmellenmeier's `Rheotron' ................... 31 4 Ernst Schiebold's `X-Ray-Guns'............................ 63 5 Rolf Wideroe's `Ray-Transformer'........................ 93 6 The End of the `X-Ray-Guns

  12. Professor Pedro Castillo: Historian, Chicano Leader, Mentor

    E-Print Network [OSTI]

    Castillo, Pedro; Reti, Irene

    2013-01-01

    You can do that the third year. For assistant professors weyou can have it in the third year. ” And then I said, “Well,first year, but maybe the third year, we did a team teaching

  13. Pedro Cuperman 215 H.B. Crouse

    E-Print Network [OSTI]

    Raina, Ramesh

    : The preface to this edition was done by Libertad Garzon, a former student of the LLL program, Spanish. This volume includes works by five talented poets Argentine Editorial house. I am presently proofreading the first draft of the Spanish edition

  14. Grabbing water Pedro M. Reis,*ab

    E-Print Network [OSTI]

    Bush, John W.M.

    times of flooding. Fig. 1a x illustrates a daisy, Bellis perennis, that has deformed into a cup of simplicity, we consider analogue flowers cut from a single sheet of a thin polymer, vinylpolysiloxane (VPS that prompts bending. Second, it encourages the flooding of water through the inter-petal spacing. Since VPS

  15. PC Electronic Data Reporting Option (PEDRO) System

    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) Wyoming Dry Natural GasNatural GasEIARegionalMethodologyNorth093 *OilSystem

  16. 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.

  17. 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...

  18. 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

  19. 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).

  20. 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)

  1. 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...

  2. 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...

  3. 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...

  4. 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.

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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.

  13. 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

  14. 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,

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  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. /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/.

  5. 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

  6. 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.

  7. 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

  8. 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...

  9. 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

  10. 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

  11. 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

  12. 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.

  13. 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

  14. 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

  15. 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.

  16. 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

  17. 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)

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

    E-Print Network [OSTI]

    Dickerson, Russell R.

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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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.

  7. 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.

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

    SciTech Connect (OSTI)

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

    2005-04-27

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

  9. 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.

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

    E-Print Network [OSTI]

    Miller, Matthew J. (Matthew Jordan)

    2014-01-01

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

  11. 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...

  12. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G. (Albuquerque, NM); Gurary, Alexander I. (Bridgewater, NJ); Boguslavskiy, Vadim (Princeton, NJ)

    2002-01-01

    A method for determining the temperature of a surface upon which a coating is grown using optical pyrometry by correcting Kirchhoff's law for errors in the emissivity or reflectance measurements associated with the growth of the coating and subsequent changes in the surface thermal emission and heat transfer characteristics. By a calibration process that can be carried out in situ in the chamber where the coating process occurs, an error calibration parameter can be determined that allows more precise determination of the temperature of the surface using optical pyrometry systems. The calibration process needs only to be carried out when the physical characteristics of the coating chamber change.

  13. NEPA Determination Complete

    Broader source: Energy.gov [DOE]

    DOE has determined that this proposed project is a major Federal action that may significantly affect the quality of the human environment. To comply with the National Environmental Policy Act ...

  14. Solids mass flow determination

    DOE Patents [OSTI]

    Macko, Joseph E. (Hempfield Township, Westmoreland County, PA)

    1981-01-01

    Method and apparatus for determining the mass flow rate of solids mixed with a transport fluid to form a flowing mixture. A temperature differential is established between the solids and fluid. The temperature of the transport fluid prior to mixing, the temperature of the solids prior to mixing, and the equilibrium temperature of the mixture are monitored and correlated in a heat balance with the heat capacities of the solids and fluid to determine the solids mass flow rate.

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

    SciTech Connect (OSTI)

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

    2010-09-01

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

  16. Revisiting Copano Bay, Texas: an exceptional long-term record of ecological communities and their associated death assemblages 

    E-Print Network [OSTI]

    Ebnother, Danielle Dawn

    2006-10-30

    -1 REVISITING COPANO BAY, TEXAS: AN EXCEPTIONAL LONG-TERM RECORD OF ECOLOGICAL COMMUNITIES AND THEIR ASSOCIATED DEATH ASSEMBLAGES A Thesis by DANIELLE DAWN EBNOTHER Submitted to the Office of Graduate Studies of Texas A&M University in partial... DEATH ASSEMBLAGES A Thesis by DANIELLE DAWN EBNOTHER Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE Approved by: Chair...

  17. Acrylic Target Vessels for a High-Precision Measurement of theta13 with the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    H. R. Band; R. Brown; J. Cherwinka; J. Cao; Y. Chang; B. Edwards; W. S. He; K. M. Heeger; Y. Heng; T. H. Ho; Y. B. Hsiung; L. Greenler; S. H. Kettell; C. Lewis; K. B. Luk; X. Li; B. R. Littlejohn; A. Pagac; C. H. Wang; W. Wang; Y. Wang; T. Wise; Q. Xiao; M. Yeh; H. Zhuang

    2012-02-10

    This paper describes in detail the acrylic target vessels used to encapsulate the target and gamma catcher regions in the Daya Bay experiment's first pair of antineutrino detectors. We give an overview of the design, fabrication, shipping, and installation of the acrylic target vessels and their liquid overflow tanks. The acrylic quality assurance program and vessel characterization, which measures all geometric, optical, and material properties relevant to {\

  18. Bay-annulated indigo (BAI) as an excellent electron accepting building block for high performance organic semiconductors

    DOE Patents [OSTI]

    Liu, Yi; He, Bo; Pun, Andrew

    2015-11-24

    A novel electron acceptor based on bay-annulated indigo (BAI) was synthesized and used for the preparation of a series of high performance donor-acceptor small molecules and polymers. The resulting materials possess low-lying LUMO energy level and small HOMO-LUMO gaps, while their films exhibited high crystallinity upon thermal treatment, commensurate with high field effect mobilities and ambipolar transfer characteristics.

  19. The distribution of potentially toxic heavy metals in the sediments of San Antonio Bay and the northwest Gulf of Mexico 

    E-Print Network [OSTI]

    Trefry, John Harold

    1974-01-01

    from 48 locations in the northwest Gulf of Mexico, including San Antonio Bay and the Mississippi River Delta, were acid leached and analyzed for iron, manganese, lead, zinc, cadmium, copper, and nickel by atomic absorption spectrophotometry. HNO... and HNO -HC1 solutions leached 60-70% of the iron and 60 to more than 90% of the other metals from the sediments Hcavy metal concentrations in the acid lese'hable frac- tion of the sediments were normalized against the acid lcachable iron...

  20. New measurement of antineutrino oscillation with the full detector configuration at Daya Bay

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

    An, F. P.; Balantekin, A. B.; Band, H. R.; Bishai, M.; Blyth, S.; Butorov, I.; Cao, G. F.; Cao, J.; Cen, W. R.; Chan, Y. L.; et al

    2015-09-11

    We report a new measurement of electron antineutrino disappearance using the fully constructed Daya Bay Reactor Neutrino Experiment. The final two of eight antineutrino detectors were installed in the summer of 2012. Including the 404 days of data collected from October 2012 to November 2013 resulted in a total exposure of 6.9×105 GWth ton days, a 3.6 times increase over our previous results. Improvements in energy calibration limited variations between detectors to 0.2%. Removal of six 241Am- 13C radioactive calibration sources reduced the background by a factor of 2 for the detectors in the experimental hall furthest from the reactors.more »Direct prediction of the antineutrino signal in the far detectors based on the measurements in the near detectors explicitly minimized the dependence of the measurement on models of reactor antineutrino emission. The uncertainties in our estimates of 2sin2?13 and |?m2ee| were halved as a result of these improvements. An analysis of the relative antineutrino rates and energy spectra between detectors gave 2sin2?13=0.084±0.005 and |?m2ee|=(2.42±0.11)×10–3 eV2 in the three-neutrino framework.« less

  1. Measurement of the Reactor Antineutrino Flux and Spectrum at Daya Bay

    E-Print Network [OSTI]

    An, F P; Band, H R; Bishai, M; Blyth, S; Butorov, I; Cao, D; Cao, G F; Cao, J; Cen, W R; Chan, Y L; Chang, J F; Chang, L C; Chang, Y; Chen, H S; Chen, Q Y; Chen, S M; Chen, Y X; Chen, Y; Cheng, J H; Cheng, J; Cheng, Y P; Cherwinka, J J; Chu, M C; Cummings, J P; de Arcos, J; Deng, Z Y; Ding, X F; Ding, Y Y; Diwan, M V; Dove, J; Draeger, E; Dwyer, D A; Edwards, W R; Ely, S R; Gill, R; Gonchar, M; Gong, G H; Gong, H; Grassi, M; Gu, W Q; Guan, M Y; Guo, L; Guo, X H; Hackenburg, R W; Han, R; Hans, S; He, M; Heeger, K M; Heng, Y K; Higuera, A; Hor, Y K; Hsiung, Y B; Hu, B Z; Hu, L M; Hu, L J; Hu, T; Hu, W; Huang, E C; Huang, H X; Huang, X T; Huber, P; Hussain, G; Jaffe, D E; Jaffke, P; Jen, K L; Jetter, S; Ji, X P; Ji, X L; Jiao, J B; Johnson, R A; Kang, L; Kettell, S H; Kohn, S; Kramer, M; Kwan, K K; Kwok, M W; Kwok, T; Langford, T J; Lau, K; Lebanowski, L; Lee, J; Lei, R T; Leitner, R; Leung, K Y; Leung, J K C; Lewis, C A; Li, D J; Li, F; Li, G S; Li, Q J; Li, S C; Li, W D; Li, X N; Li, X Q; Li, Y F; Li, Z B; Liang, H; Lin, C J; Lin, G L; Lin, P Y; Lin, S K; Ling, J J; Link, J M; Littenberg, L; Littlejohn, B R; Liu, D W; Liu, H; Liu, J L; Liu, J C; Liu, S S; Lu, C; Lu, H Q; Lu, J S; Luk, K B; Ma, Q M; Ma, X Y; Ma, X B; Ma, Y Q; Caicedo, D A Martinez; McDonald, K T; McKeown, R D; Meng, Y; Mitchell, I; Kebwaro, J Monari; Nakajima, Y; Napolitano, J; Naumov, D; Naumova, E; Ngai, H Y; Ning, Z; Ochoa-Ricoux, J P; Olshevski, A; Pan, H -R; Park, J; Patton, S; 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; Shao, B B; Steiner, H; Sun, G X; Sun, J L; Tang, W; Taychenachev, D; Tsang, K V; Tull, C E; Tung, Y C; Viaux, N; Viren, B; Vorobel, V; Wang, C H; Wang, M; Wang, N Y; Wang, R G; Wang, W; Wang, W W; Wang, X; Wang, Y F; Wang, Z; Wang, Z M; Wei, H Y; Wen, L J; Whisnant, K; White, C G; Whitehead, L; Wise, T; Wong, H L H; Wong, S C F; Worcester, E; Wu, Q; Xia, D M; Xia, J K; Xia, X; Xing, Z Z; Xu, J Y; Xu, J L; Xu, J; Xu, Y; Xue, T; Yan, J; Yang, C G; Yang, L; Yang, M S; Yang, M T; Ye, M; Yeh, M; Young, B L; Yu, G Y; Yu, Z Y; Zang, S L; Zhan, L; Zhang, C; Zhang, H H; Zhang, J W; Zhang, Q M; 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; Zhuang, H L; Zou, J H

    2015-01-01

    This Letter reports a measurement of the flux and energy spectrum of electron antineutrinos from six 2.9~GW$_{th}$ nuclear reactors with six detectors deployed in two near (effective baselines 512~m and 561~m) and one far (1,579~m) underground experimental halls in the Daya Bay experiment. Using 217 days of data, 296,721 and 41,589 inverse beta decay (IBD) candidates were detected in the near and far halls, respectively. The measured IBD yield is (1.55 $\\pm$ 0.04) $\\times$ 10$^{-18}$~cm$^2$/GW/day or (5.92 $\\pm$ 0.14) $\\times$ 10$^{-43}$~cm$^2$/fission. This flux measurement is consistent with previous short-baseline reactor antineutrino experiments and is $0.946\\pm0.022$ ($0.991\\pm0.023$) relative to the flux predicted with the Huber+Mueller (ILL+Vogel) fissile antineutrino model. The measured IBD positron energy spectrum deviates from both spectral predictions by more than 2$\\sigma$ over the full energy range with a local significance of up to $\\sim$4$\\sigma$ between 4-6 MeV. A reactor antineutrino spectrum...

  2. Measurement of the Reactor Antineutrino Flux and Spectrum at Daya Bay

    E-Print Network [OSTI]

    Daya Bay Collaboration; F. P. An; A. B. Balantekin; H. R. Band; M. Bishai; S. Blyth; I. Butorov; D. Cao; G. F. Cao; J. Cao; W. R. Cen; Y. L. Chan; J. F. Chang; L. C. Chang; Y. Chang; H. S. Chen; Q. Y. Chen; S. M. Chen; Y. X. Chen; Y. Chen; J. H. Cheng; J. Cheng; Y. P. Cheng; J. J. Cherwinka; M. C. Chu; J. P. Cummings; J. de Arcos; Z. Y. Deng; X. F. Ding; Y. Y. Ding; M. V. Diwan; J. Dove; E. Draeger; D. A. Dwyer; W. R. Edwards; S. R. Ely; R. Gill; M. Gonchar; G. H. Gong; H. Gong; M. Grassi; W. Q. Gu; M. Y. Guan; L. Guo; X. H. Guo; R. W. Hackenburg; R. Han; S. Hans; M. He; K. M. Heeger; Y. K. Heng; A. Higuera; Y. K. Hor; Y. B. Hsiung; B. Z. Hu; L. M. Hu; L. J. Hu; T. Hu; W. Hu; E. C. Huang; H. X. Huang; X. T. Huang; P. Huber; G. Hussain; D. E. Jaffe; P. Jaffke; K. L. Jen; S. Jetter; X. P. Ji; X. L. Ji; J. B. Jiao; R. A. Johnson; L. Kang; S. H. Kettell; S. Kohn; M. Kramer; K. K. Kwan; M. W. Kwok; T. Kwok; T. J. Langford; K. Lau; L. Lebanowski; J. Lee; R. T. Lei; R. Leitner; K. Y. Leung; J. K. C. Leung; C. A. Lewis; D. J. Li; F. Li; G. S. Li; Q. J. Li; S. C. 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; 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; C. Lu; H. Q. Lu; J. S. Lu; K. B. Luk; Q. M. Ma; X. Y. Ma; X. B. Ma; Y. Q. Ma; D. A. Martinez Caicedo; K. T. McDonald; R. D. McKeown; Y. Meng; I. Mitchell; J. Monari Kebwaro; Y. Nakajima; J. Napolitano; D. Naumov; E. Naumova; H. Y. Ngai; Z. Ning; J. P. Ochoa-Ricoux; A. Olshevski; H. -R. Pan; J. Park; 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; W. Tang; D. Taychenachev; K. V. Tsang; C. E. Tull; Y. C. Tung; N. Viaux; B. Viren; V. Vorobel; C. H. 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; H. Y. 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. G. Yang; L. Yang; M. S. Yang; M. T. Yang; M. Ye; M. Yeh; B. L. Young; G. Y. Yu; Z. Y. Yu; S. L. Zang; L. Zhan; C. Zhang; H. H. Zhang; J. W. Zhang; Q. M. 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; H. L. Zhuang; J. H. Zou

    2015-08-18

    This Letter reports a measurement of the flux and energy spectrum of electron antineutrinos from six 2.9~GW$_{th}$ nuclear reactors with six detectors deployed in two near (effective baselines 512~m and 561~m) and one far (1,579~m) underground experimental halls in the Daya Bay experiment. Using 217 days of data, 296,721 and 41,589 inverse beta decay (IBD) candidates were detected in the near and far halls, respectively. The measured IBD yield is (1.55 $\\pm$ 0.04) $\\times$ 10$^{-18}$~cm$^2$/GW/day or (5.92 $\\pm$ 0.14) $\\times$ 10$^{-43}$~cm$^2$/fission. This flux measurement is consistent with previous short-baseline reactor antineutrino experiments and is $0.946\\pm0.022$ ($0.991\\pm0.023$) relative to the flux predicted with the Huber+Mueller (ILL+Vogel) fissile antineutrino model. The measured IBD positron energy spectrum deviates from both spectral predictions by more than 2$\\sigma$ over the full energy range with a local significance of up to $\\sim$4$\\sigma$ between 4-6 MeV. A reactor antineutrino spectrum of IBD reactions is extracted from the measured positron energy spectrum for model-independent predictions.

  3. Statistical unfolding of elementary particle spectra: Empirical Bayes estimation and bias-corrected uncertainty quantification

    E-Print Network [OSTI]

    Mikael Kuusela; Victor M. Panaretos

    2015-07-13

    We consider the high energy physics unfolding problem where the goal is to estimate the spectrum of elementary particles given observations distorted by the limited resolution of a particle detector. This important statistical inverse problem arising in data analysis at the Large Hadron Collider at CERN consists in estimating the intensity function of an indirectly observed Poisson point process. Unfolding typically proceeds in two steps: one first produces a regularized point estimate of the unknown intensity and then uses the variability of this estimator to form frequentist confidence intervals that quantify the uncertainty of the solution. In this paper, we propose forming the point estimate using empirical Bayes estimation which enables a data-driven choice of the regularization strength through marginal maximum likelihood estimation. Observing that neither Bayesian credible intervals nor standard bootstrap confidence intervals succeed in achieving good frequentist coverage in this problem due to the inherent bias of the regularized point estimate, we introduce an iteratively bias-corrected bootstrap technique for constructing improved confidence intervals. We show using simulations that this enables us to achieve nearly nominal frequentist coverage with only a modest increase in interval length. The proposed methodology is applied to unfolding the Z boson invariant mass spectrum as measured in the CMS experiment at the Large Hadron Collider.

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

    SciTech Connect (OSTI)

    Dallman, Ann Renee; Neary, Vincent Sinclair

    2014-10-01

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

  5. Modeling and forecasting the distribution of Vibrio vulnificus in Chesapeake Bay

    SciTech Connect (OSTI)

    Jacobs, John M.; Rhodes, M.; Brown, C. W.; Hood, Raleigh R.; Leight, A.; Long, Wen; Wood, R.

    2014-11-01

    The aim is to construct statistical models to predict the presence, abundance and potential virulence of Vibrio vulnificus in surface waters. A variety of statistical techniques were used in concert to identify water quality parameters associated with V. vulnificus presence, abundance and virulence markers in the interest of developing strong predictive models for use in regional oceanographic modeling systems. A suite of models are provided to represent the best model fit and alternatives using environmental variables that allow them to be put to immediate use in current ecological forecasting efforts. Conclusions: Environmental parameters such as temperature, salinity and turbidity are capable of accurately predicting abundance and distribution of V. vulnificus in Chesapeake Bay. Forcing these empirical models with output from ocean modeling systems allows for spatially explicit forecasts for up to 48 h in the future. This study uses one of the largest data sets compiled to model Vibrio in an estuary, enhances our understanding of environmental correlates with abundance, distribution and presence of potentially virulent strains and offers a method to forecast these pathogens that may be replicated in other regions.

  6. 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%.

  7. Risk assessment for produced water discharges to Louisiana open bays. Final report

    SciTech Connect (OSTI)

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

    1996-03-22

    The US Department of Energy (USDOE) has a program of research in the environmental aspects of oil and gas extraction. This sampling project will characterize the environmental impacts associated with the discharge of naturally occurring radioactive materials (NORM), metals and organics in produced water. This report is part of a series of studies of the health and ecological risks from discharges of produced water to the Gulf of Mexico, supported by the USDOE. These assessments are being coordinated with the field study, using the collected data to perform human health and ecological risk assessments. These assessments will provide input to regulators in the development of guidelines and permits, and to industry in the development and use of appropriate discharge practices. The initial human health and ecological risk assessments consist of conservative screening analyses meant to identify potentially important contaminants, and to eliminate others from further consideration. More quantitative assessments were done for contaminants identified, in the screening analysis, as being of potential concern. Section 2 gives an overview of human health and ecological risk assessment to help put the analyses presented here in perspective. Section 3 provides the hazard assessment portion of the risk assessment, and identifies the important receptors and pathways of concern. Section 3 also outlines the approach taken to the risk assessments presented in the rest of the report. The remaining sections (4 through 9) present the human health and ecological risk assessments for discharges of produced water to open bays in Louisiana.

  8. 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.

  9. Fouling and thermal-performance characteristics of the Humboldt Bay Unit 2 power-plant condenser

    SciTech Connect (OSTI)

    Rabas, T.J. [Argonne National Lab., IL (United States); Elliott, E.S. [Pacific Gas and Electric Co., San Ramon, CA (US)

    1993-07-01

    An experimental program was conducted at the Humboldt Bay condenser using eight clusters of four neighboring tubes with different conditions. In each cluster, there were (1) a new tube, the tubeside fluid being distilled water; (2) a new tube, the tubeside fluid being plant circulating water (seawater) and no cleaning; (3) an old tube, plant circulating water with no cleaning; and (4) an old tube, plant circulating water with normal periodic manual cleaning (blowing plugs or sponge balls). These tube clusters were located at four different locations within both the first and second passes of this two-pass condenser. Because of the different conditions, the fouling and cleaning characteristics can be obtained with measurements of the flow rate and inlet, outlet, and saturation temperatures. In addition to the fouling data, the thermal performance can be compared to that obtained with the standard rating method. There was a reduction in the thermal performance of the new, distilled-water tubes for about the first 80 days, and then the performance remained essentially constant. This performance change was most likely the result of the change from dropwise to filmwise condensation on the 7/8-in OD, 18 BWG Admiralty tubes. There was a continued increase of the tubeside fouling resistance with time (no asymptotic behavior) for the tubes that were not cleaned in each cluster using the plant circulating water. The fouling rates were somewhat larger for the first or lower temperature pass initially for the new tubes and after about 100 days for the old tubes. However, the fouling resistance values were substantially larger for the old tubes.

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

    E-Print Network [OSTI]

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

    2014-08-11

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

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

    E-Print Network [OSTI]

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

    2012-03-02

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

  12. Long-term storage facility for reactor compartments in Sayda Bay - German support for utilization of nuclear submarines in Russia

    SciTech Connect (OSTI)

    Wolff, Dietmar; Voelzke, Holger; Weber, Wolfgang; Noack, Volker; Baeuerle, Guenther

    2007-07-01

    The German-Russian project that is part of the G8 initiative on Global Partnership Against the Spread of Weapons and Materials of Mass Destruction focuses on the speedy construction of a land-based interim storage facility for nuclear submarine reactor compartments at Sayda Bay near Murmansk. This project includes the required infrastructure facilities for long-term storage of about 150 reactor compartments for a period of about 70 years. The interim storage facility is a precondition for effective activities of decommissioning and dismantlement of almost all nuclear-powered submarines of the Russian Northern Fleet. The project also includes the establishment of a computer-assisted waste monitoring system. In addition, the project involves clearing Sayda Bay of other shipwrecks of the Russian navy. On the German side the project is carried out by the Energiewerke Nord GmbH (EWN) on behalf of the Federal Ministry of Economics and Labour (BMWi). On the Russian side the Kurchatov Institute holds the project management of the long-term interim storage facility in Sayda Bay, whilst the Nerpa Shipyard, which is about 25 km away from the storage facility, is dismantling the submarines and preparing the reactor compartments for long-term interim storage. The technical monitoring of the German part of this project, being implemented by BMWi, is the responsibility of the Federal Institute for Materials Research and Testing (BAM). This paper gives an overview of the German-Russian project and a brief description of solutions for nuclear submarine disposal in other countries. At Nerpa shipyard, being refurbished with logistic and technical support from Germany, the reactor compartments are sealed by welding, provided with biological shielding, subjected to surface treatment and conservation measures. Using floating docks, a tugboat tows the reactor compartments from Nerpa shipyard to the interim storage facility at Sayda Bay where they will be left on the on-shore concrete storage space to allow the radioactivity to decay. For transport of reactor compartments at the shipyard, at the dock and at the storage facility, hydraulic keel blocks, developed and supplied by German subcontractors, are used. In July 2006 the first stage of the reactor compartment storage facility was commissioned and the first seven reactor compartments have been delivered from Nerpa shipyard. Following transports of reactor compartments to the storage facility are expected in 2007. (authors)

  13. On coaxial minors of determinants

    E-Print Network [OSTI]

    Babcock, Wealthy Consuelo

    1922-01-01

    . Approved by: ROOlOb SlSb^ Contents Page I. Introduction 1 II. Independence of Coaxial Minors of Special Determinants 9 A. Symmetric Determinant 9 B. Skew-symmetric Determinant ...14 C. Circulant 17 D. Hankel's Determinant 19 III... Introduction The work on coaxial minors of a deter­ minant has centered about the problems of deter­ mining the number of independent coaxial minors, of finding independent sets, and of expressing the determinant in terms of the minors of an independent set...

  14. March 27, 2008 14:26 World Scientific Review Volume -9in x 6in FRMbox2-4 Formal Bayes Methods for Model Calibration with

    E-Print Network [OSTI]

    March 27, 2008 14:26 World Scientific Review Volume - 9in x 6in FRMbox2-4 Chapter 1 Formal Bayes Press / World Scientific, due out 2008. 1 #12;March 27, 2008 14:26 World Scientific Review Volume - 9in transparent in scientific inference, are unassailable. What we have yet to establish here is why we should do

  15. PAPA--Univ. Calif. IPM Program--SF Bay Water Quality Control Board Integrated Pest Management for Landscapes and Public Agencies Seminar

    E-Print Network [OSTI]

    Ishida, Yuko

    PAPA--Univ. Calif. IPM Program--SF Bay Water Quality Control Board Integrated Pest Management Quality Janet O'Hara, Water Resource Control Engineer, SFB Water Quality Control Board 9:05 IPM Update - Ag Commissioner's Office Representative 8:30 New Regulations Related to Pesticides and Water

  16. Abundance and spread of the invasive red algae, Kappaphycus spp., in Kane'ohe Bay, Hawai'i and an experimental assessment of management

    E-Print Network [OSTI]

    Smith, Jennifer E.

    ) investigate control options including manual removal and the use of biocontrol agents. Kappaphycus spp-808-236-7443) Received 7 July 2003; accepted in revised form 29 April 2004 Key words: algal blooms, biocontrol be a useful bio- control agent. Because Kappaphycus spp. are still spreading in Kane'ohe Bay and can overgrow

  17. Modeling the Capacity of Left-Turn and Through Movement Considering Left-Turn Blockage and Spillback at Signalized Intersection with Short Left-Turn Bay 

    E-Print Network [OSTI]

    Cho, Kyoung Min

    2010-10-12

    This research presents more realistic models for left-turn and through volume capacity by taking into account the probabilistic nature of the left-turn bay blockages and spillbacks at a signalized intersection under the leading phasing scheme with a...

  18. Determining the neutrino mass hierarchy

    SciTech Connect (OSTI)

    Parke, Stephen J.; /Fermilab

    2006-07-01

    In this proceedings I review the physics that future experiments will use to determine the neutrino mass hierarchy.

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

    E-Print Network [OSTI]

    Han, Seunghee

    2005-02-17

    The major goal of this research is the development of a competitive ligand equilibration-solvent solvent extraction (CLE-SSE) method to determine organically complexed mercury species in estuarine water. The method was ...

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

    E-Print Network [OSTI]

    Pillado, Maria C.

    2014-05-07

    meta-analysis to determine if the mercury levels in secondary and tertiary trophic levels have changed between years 1992 and 2012, and if the levels in red drum (Sciaenops ocellatus) and oysters (Crassostrea virginica) have decreased over time...

  1. CX-010689: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Generic CX Determination for Financial Assistance Awards CX(s) Applied: Unknown Date: 07/17/2013 Location(s): Illinois Offices(s): Chicago Office

  2. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Excess Real Property CX(s) Applied: B1.36 Date: 05/01/2014 Location(s): Colorado Offices(s): Legacy Management

  3. Postgraduate Course / Microbial and Geochemical Oceanography in Upwelling Ecosystems / Henties Bay, March 4 -26, 2014 RGNO -I / kha First African Research Discovery Camp on "Microbial & Geochemical Oceanography in Upwelling Ecosystems", offered by SANUMAR

    E-Print Network [OSTI]

    Gilli, Adrian

    processes, energy fluxes, microbial, chemical and bioenergetic aspects of coupled N- and SPostgraduate Course / Microbial and Geochemical Oceanography in Upwelling Ecosystems / Henties Bay, March 4 - 26, 2014 RGNO - I / kha First African Research Discovery Camp on "Microbial & Geochemical

  4. Determination

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent BondingMeeting |Design CompetitionsFuelof

  5. Determination

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

    M. M. Beheary, and K. M. Abdel-Moneim, "Effect of dust on the Transpar- ent Cover of Solar Collectors," Energy Conversion and Management, vol. 47, no. 18-19, pp. 3192-3203,...

  6. Generic Generic Programming Jose Pedro Magalh~aes

    E-Print Network [OSTI]

    Löh, Andres

    the life of both library writers and users. Library writers can define their approach as a conversion from duplication of generic code. In this paper we define a new GP library, structured, and use it to derive representations for many other GP libraries. Defining a new library does not mean introducing a lot of new

  7. Procesos de limitacin demogrfica Pedro Jordano, Fernando Pulido, Juan Arroyo,

    E-Print Network [OSTI]

    Seoane, Javier

    poblaciones y de su extraordinaria diversidad. Summary. Demographic limitation processes. We review the main factors influencing recruitment limitation in Mediterranean woody species by considering the sequential different limitation processes. The use of explicit demo- graphic techniques is central to understand

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

    E-Print Network [OSTI]

    is already known to give the leading order contribution to the energy of Matter, if supplemented with the so of strenghtening of Stability of Matter which tries to obtain the right dependence of the total energy nuclear spacing is nearly independent of the kind of atoms that matter is made of. In the Thomas

  9. Sao Pedro Energia S A | 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 EIS Report UrlNM-bRenewableSMUD WindI JumpTexas: EnergyIsabelSanyalSao

  10. Method of determining glass durability

    DOE Patents [OSTI]

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

    1998-12-08

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

  11. Method of determining glass durability

    DOE Patents [OSTI]

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

    1998-01-01

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

  12. Spatial and temporal variation of polynuclear aromatic hydrocarbons, pesticides, and polychlorinated biphenyls in Crassostrea virginica and sediments from Galveston Bay, Texas 

    E-Print Network [OSTI]

    Fox, Richard George

    1988-01-01

    , such as pesticides and polychlorinated biphenyls (PCBs), enter coastal environments from riverine discharge, coastal sewage effluents, industrial wastes, runoff, and as aerosols (NAS, 1979 and Rapaport et al. , 1985). Polynuclear aromatic hydrocarbons (PAHs...SPATIAL AND TEMPORAL VARIATION OF POLYNUCLEAR AROMATIC HYDROCARBONS, PESTICIDES, AND POLYCHLORINATED BIPHENYLS IN CRASSOSTREA VZRGINICA AND SEDIMENTS FROM GALVESTON BAY, TEXAS A Thesis by RICHARD GEORGE FOX Submitted to the Graduate College...

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

    SciTech Connect (OSTI)

    Not Available

    2013-10-01

    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.

  14. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  15. CX-004264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Phase II, Determination of Uranium in GroundwaterCX(s) Applied: B3.8Date: 09/27/2010Location(s): Richland, WashingtonOffice(s): Environmental Management, Office of River Protection-Richland Office

  16. CX-008905: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Optimizing Accuracy of Determinations of Carbon Dioxide Storage Capacity and Permanence CX(s) Applied: A1, A9, B3.6 Date: 08/29/2012 Location(s): Wyoming Offices(s): National Energy Technology Laboratory

  17. CX-012121: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Notice of Preliminary Determination of Energy Savings for ANSI/ASHRAE/IES Standard 90.1-2013 CX(s) Applied: A6 Date: 04/25/2014 Location(s): CX: none Offices(s): Golden Field Office

  18. National Mining Association Experimental Determination

    E-Print Network [OSTI]

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

  19. Cotton Gin Dust Explosibility Determinations 

    E-Print Network [OSTI]

    Vanderlick, Francis Jerome

    2014-01-06

    the dust for explosibility based on the American Society for Testing and Materials (ASTM) E 1226 to ensure proper regulation of facilities. Dusts found in cotton gins were tested to determine if they are explosible. Safety Consulting Engineers Inc. (SCE...

  20. CX-010776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  1. Gender determination of avian embryo

    SciTech Connect (OSTI)

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

    2002-01-01

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

  2. Determining Cropland Cash Rental Arrangements 

    E-Print Network [OSTI]

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

    1999-06-23

    arrangements, using a crop share approach to determine a cash rental rate is practical. This approach determines the cash equivalent amount of an equitable crop share arrangement and then often makes a risk adjustment to that value. The reason for making... proportionally (increase of approxi- mately 10 percent in all regions). This normal- ization of returns is also consistent with the gen- eral assumption that average profits equal zero in the long run. Equitable crop share arrangements were cal- culated...

  3. CX-006210: Categorical Exclusion Determination | Department of...

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

    Determination CX-006210: Categorical Exclusion Determination Missouri Independent Energy Efficiency Program: Bodine Aluminum Incorporated - Thermal Oxidizer Replacement...

  4. CX-007851: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    007851: Categorical Exclusion Determination CX-007851: Categorical Exclusion Determination Notice of Proposed Rulemaking (NOPR) for Energy Conservation Standards for Commercial...

  5. CX-006442: Categorical Exclusion Determination | Department of...

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

    442: Categorical Exclusion Determination CX-006442: Categorical Exclusion Determination Research Support Facility II, Cafeteria; National Renewable Energy Laboratory Tracking No....

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

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

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

  7. CX-000623: Categorical Exclusion Determination | Department of...

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

    623: Categorical Exclusion Determination CX-000623: Categorical Exclusion Determination Kentucky Energy Efficiency and Conservation Block Grants Small Cities and Counties...

  8. CX-005963: Categorical Exclusion Determination | Department of...

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

    63: Categorical Exclusion Determination CX-005963: Categorical Exclusion Determination Missouri - Independent Energy Efficiency Program: Mallinckrodt - Plant-Wide Chiller System...

  9. CX-100363 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100363 Categorical Exclusion Determination Marine Algae Industrialization Consortium (MAGIC): Combining biofuel and high-value bioproducts to...

  10. Determine Institutional Change Sustainability Goals | Department...

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

    Institutional Change Determine Institutional Change Sustainability Goals Determine Institutional Change Sustainability Goals Institutional Change Continuous Improvement Cycle...

  11. CX-100144 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100144 Categorical Exclusion Determination Solar and Distributed Generation as Key Elements in Meeting Vermont's Comprehensive Energy Plan...

  12. 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.

  13. Decoherence, determinism and chaos revisited

    SciTech Connect (OSTI)

    Noyes, H.P.

    1994-11-15

    We suggest that the derivation of the free space Maxwell Equations for classical electromagnetism, using a discrete ordered calculus developed by L.H. Kauffman and T. Etter, necessarily pushes the discussion of determinism in natural science down to the level of relativistic quantum mechanics and hence renders the mathematical phenomena studied in deterministic chaos research irrelevant to the question of whether the world investigated by physics is deterministic. We believe that this argument reinforces Suppes` contention that the issue of determinism versus indeterminism should be viewed as a Kantian antinomy incapable of investigation using currently available scientific tools.

  14. Determining solar abundances using helioseismology

    E-Print Network [OSTI]

    H. M. Antia; Sarbani Basu

    2006-02-28

    The recent downward revision of solar photospheric abundances of Oxygen and other heavy elements has resulted in serious discrepancies between solar models and solar structure as determined through helioseismology. In this work we investigate the possibility of determining the solar heavy-element abundance without reference to spectroscopy by using helioseismic data. Using the dimensionless sound-speed derivative in the solar convection zone, we find that the heavy element abundance, Z, of 0.0172 +/- 0.002, which is closer to the older, higher value of the abundances.

  15. CX-012693: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Experimental Determination and Mechanistic Modeling of Used Fuel Drying by Vacuum and Gas Circulation for Dry Cask Storage – University of South Carolina CX(s) Applied: B3.6Date: 41869 Location(s): South CarolinaOffices(s): Nuclear Energy

  16. CX-008738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determination of Microstructure and Chemical State Changes in Ion-Irradiated Fuels and Structural Components with a High Kinetic Energy Electron Detector – Illinois Institute of Technology CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  17. CX-100019: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determination of Rare Earths in Geothermal Brines and Evaluation of Potential Extraction Techniques CX(s) Applied: A9, B3.1, B3.6 Date: 08/18/2014 Location(s): California Offices(s): Golden Field Office Technology Office: Geothermal Technologies Award Number: DE-EE0006750

  18. CX-000373: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Measurements of 222 Radon, 220 Radon, and Carbon Dioxide Emissions in Natural Carbon Dioxide Fields in Wyoming: Monitoring, Verification, and Analysis Techniques for Determining Gas Transport and Caprock IntegrityCX(s) Applied: A1, A9, B3.6, B3.8Date: 11/20/2009Location(s): Laramie, WyomingOffice(s): Fossil Energy, National Energy Technology Laboratory

  19. Effects of elevated CO{sub 2} on Chesapeake Bay wetlands. [Progress report, 1988--1989

    SciTech Connect (OSTI)

    Drake, B.G.; Arp, W.J.; Balduman, L.

    1990-12-31

    Research during 1988--89 focused on several new aspects of the response of the salt marsh ecosystem to elevated CO{sub 2}. In previous years we gave highest priority to studies of the effect of CO{sub 2} on biomass production into above and below-ground tissues, nitrogen content, light response of photosynthesis of single leaves, leaf water potential and carbon dioxide and water vapor exchange between the plant canopy and the ambient air. Result from the work in 87 and 88 had shown that the C3 plant, Scirpus olneyi, responded vigorously to elevated CO{sub 2} but the two C4 species, Spartina patens and Distichlis spicata did not. The responses of photosynthesis were also reflected in the canopy and ecosystem processes. Thus our emphasis shifted from determining the growth responses to exploring photosynthesis in greater detail. The main questions were: does acclimation to high CO{sub 2} involve reduction of some aspect of photosynthesis either at the single leaf level or in canopy structure? How much more carbon will be accumulated in a high CO{sub 2} than under present CO{sub 2} concentration? Our results give us partial answers to these questions but since the long term aspect of CO{sub 2} stimulation remains the most important one, it is unlikely that we can do more than add some pieces of data to a continuing debate in the ecological community regarding the eventual effect of CO{sub 2} on ecosystems.

  20. Toeplitz determinants with merging singularities

    E-Print Network [OSTI]

    T. Claeys; I. Krasovsky

    2014-10-28

    We study asymptotic behavior for determinants of $n\\times n$ Toeplitz matrices corresponding to symbols with two Fisher-Hartwig singularities at the distance $2t\\ge0$ from each other on the unit circle. We obtain large $n$ asymptotics which are uniform for $0occupation number in the ground state of a one-dimensional Bose gas, and a conjecture of Fyodorov and Keating on the second moment of powers of the characteristic polynomials of random matrices.

  1. Range determination for scannerless imaging

    DOE Patents [OSTI]

    Muguira, Maritza Rosa (Albuquerque, NM); Sackos, John Theodore (Albuquerque, NM); Bradley, Bart Davis (Albuquerque, NM); Nellums, Robert (Albuquerque, NM)

    2000-01-01

    A new method of operating a scannerless range imaging system (e.g., a scannerless laser radar) has been developed. This method is designed to compensate for nonlinear effects which appear in many real-world components. The system operates by determining the phase shift of the laser modulation, which is a physical quantity related physically to the path length between the laser source and the detector, for each pixel of an image.

  2. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costa D; Burgard, Anthony R; Pharkya, Priti

    2013-06-04

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  3. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D. (Port Matilda, PA); Burgard, Anthony R. (State College, PA); Pharkya, Priti (State College, PA)

    2011-09-27

    A method for determining candidates for gene deletions and additions using a model of a metabolic network associated with an organism, the model includes a plurality of metabolic reactions defining metabolite relationships, the method includes selecting a bioengineering objective for the organism, selecting at least one cellular objective, forming an optimization problem that couples the at least one cellular objective with the bioengineering objective, and solving the optimization problem to yield at least one candidate.

  4. Temporal and spatial distribution of fishes in the upper Galveston Bay System with particular reference to the cooling water system of Cedar Bayou Generating Station 

    E-Print Network [OSTI]

    Holt, Scott Allen

    1976-01-01

    1I:MPORAL AND SPATIAL DISTRIBUTION OF FISHES IN THE UPPER GALVESTON BAY SYSTEM WITH PARTICULAR REFERENCE TO THE COOLING WATER SYSTEM OF CEDAR BAYOU GENERATING STATION A Thesis by SCOTT ALLEN HOLT Submitted to the Graduate College of Texas A... This research was made possible by a grant from Hou-ton Lighting 6 Power Company to the Department of Wildlife and Fisheries Scier. es and the Texas Agricultural Experiment Station (Project 1869-2781) . I would like to express my appreciation to Dr. Kirk...

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

    E-Print Network [OSTI]

    Gould, Robert Andrew

    1973-01-01

    ) J IU CA IS UI SI CA CS I S ! 0 l2 IS 18 20 SURFACE BOTTOM P. M. R 2 4 0 I R 8 ~ 22 JULY A U G. SEI'T. TIME (NEEEG) FIGURE 5. ? Hydrological data for pond 8. Ao ED I 2 So Uf 2' SURFACE SDEEDII 20 PUIAP OFF Z J 10 UI 10... HEATED BAY WATER PROM AN ELECTRIC POWER PLAI JT A Thesis by ROBERT ANDREW GOULD Approved as to style and content by: (Chairman of Committee) (Head of Deoartment) (Member) (Member) IMay 19 73 436659 ABSTRACT Yh G* th dS ' l fB Sh' P(P t* ) d...

  6. CX-008998: Categorical Exclusion Determination | Department of...

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

    8: Categorical Exclusion Determination CX-008998: Categorical Exclusion Determination "Sustainable Manufacturing via Multi-scale Physics-based Process Modeling and...

  7. CX-006863: Categorical Exclusion Determination | Department of...

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

    63: Categorical Exclusion Determination CX-006863: Categorical Exclusion Determination Production and Economics of Perennial-Based Woody and Herbaceous Biomass Crops under...

  8. CX-004095: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004095: Categorical Exclusion Determination Thermal Transport Properties of Nanostructured Materials for Energy Conversion CX(s) Applied: B3.6 Date: 09...

  9. CX-003164: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003164: Categorical Exclusion Determination Optimization of Biomass Production Across a Landscape CX(s) Applied: A9 Date: 07262010...

  10. Categorical Exclusion Determinations: Office of Energy Efficiency...

    Energy Savers [EERE]

    Energy Efficiency and Renewable Energy Categorical Exclusion Determinations: Office of Energy Efficiency and Renewable Energy Categorical Exclusion Determinations issued by Energy...

  11. CX-004958: Categorical Exclusion Determination | Department of...

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

    958: Categorical Exclusion Determination CX-004958: Categorical Exclusion Determination University of Southern California-Iron-Air Rechargeable Battery for Grid-Scale Energy...

  12. CX-004351: Categorical Exclusion Determination | Department of...

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

    4351: Categorical Exclusion Determination CX-004351: Categorical Exclusion Determination Center for Development of Math, Science and Technology CX(s) Applied: B1.15 Date: 1029...

  13. CX-002671: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    1: Categorical Exclusion Determination CX-002671: Categorical Exclusion Determination Vegetation Management - Routine Maintenance Along Captain Jack-Olinda Transmission Line CX(s)...

  14. CX-003959: Categorical Exclusion Determination | Department of...

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

    59: Categorical Exclusion Determination CX-003959: Categorical Exclusion Determination Federal Bureau of Investigation Radiological Dispersion Device Training CX(s) Applied: B1.2...

  15. CX-005987: Categorical Exclusion Determination | Department of...

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

    87: Categorical Exclusion Determination CX-005987: Categorical Exclusion Determination Stion Corporation - Superstrate Device for High Efficiency Tandem Modules CX(s) Applied: A9,...

  16. CX-100022: Categorical Exclusion Determination | Department of...

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

    CX-100022: Categorical Exclusion Determination CX-100022: Categorical Exclusion Determination EERE Demonstration for Advanced Retro-Commissioning Technology CX(s) Applied: A9,...

  17. CX-001378: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    378: Categorical Exclusion Determination CX-001378: Categorical Exclusion Determination Wackenhut Services, Incorporated Training Facility CX(s) Applied: B1.2 Date: 10282009...

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

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

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

  19. CX-004628: Categorical Exclusion Determination | Department of...

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

    8: Categorical Exclusion Determination CX-004628: Categorical Exclusion Determination Seneca Nation of New York Energy Efficiency and Conservation Programs for Buildings and...

  20. CX-001492: Categorical Exclusion Determination | Department of...

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

    92: Categorical Exclusion Determination CX-001492: Categorical Exclusion Determination City of Saint Louis Missouri Statement of Work and All Activities Excluding Bike Station...

  1. CX-007826: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    007826: Categorical Exclusion Determination CX-007826: Categorical Exclusion Determination "Crittenden City Facilities Re-Roofing CX(s) Applied: B5.1 Date: 01312012 Location(s):...

  2. CX-000310: Categorical Exclusion Determination | Department of...

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

    0: Categorical Exclusion Determination CX-000310: Categorical Exclusion Determination New Jersey Revision 1 - Energy Efficiency Upgrades for State Buildings CX(s) Applied: A9, A11,...

  3. CX-009923: Categorical Exclusion Determination | Department of...

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

    CX-009923: Categorical Exclusion Determination CX-009923: Categorical Exclusion Determination Project Icebreaker CX(s) Applied: A9, B3.1 Date: 01072013 Location(s): Ohio...

  4. CX-007056: Categorical Exclusion Determination | Department of...

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

    7056: Categorical Exclusion Determination CX-007056: Categorical Exclusion Determination Interstate Electrification Improvement CX(s) Applied: B5.1 Date: 09192011 Location(s):...

  5. CX-001525: Categorical Exclusion Determination | Department of...

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

    25: Categorical Exclusion Determination CX-001525: Categorical Exclusion Determination Energy Efficiency and Conservation Strategy for Units of Local Governments and Indian Tribes...

  6. CX-009411: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    411: Categorical Exclusion Determination CX-009411: Categorical Exclusion Determination Routine Maintenance of Hesperus-Montrose 345 Kilovolt Transmission Line Access Roads CX(s)...

  7. CX-100290 Categorical Exclusion Determination | Department of...

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

    0 Categorical Exclusion Determination CX-100290 Categorical Exclusion Determination Location, Location, Efficiency (Milwaukee, WI) Award Number: DE-EE0007069 CX(s) Applied: A9,...

  8. CX-003197: Categorical Exclusion Determination | Department of...

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

    7: Categorical Exclusion Determination CX-003197: Categorical Exclusion Determination Low Cost High Concentration Photovoltaic Systems for Utility Power Generation CX(s) Applied:...

  9. CX-007370: Categorical Exclusion Determination | Department of...

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

    370: Categorical Exclusion Determination CX-007370: Categorical Exclusion Determination Idaho-TRIBE-SHOSHONE-BANNOCK TRIBE OF THE FORT HALL RESERVATION OF IDAHO CX(s) Applied:...

  10. CX-010792: Categorical Exclusion Determination | Department of...

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

    CX-010792: Categorical Exclusion Determination CX-010792: Categorical Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect - Task...

  11. CX-011234: Categorical Exclusion Determination | Department of...

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

    34: Categorical Exclusion Determination CX-011234: Categorical Exclusion Determination Construction and Maintenance Activities at Existing Field Offices and Operation Centers CX(s)...

  12. CX-005162: Categorical Exclusion Determination | Department of...

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

    5162: Categorical Exclusion Determination CX-005162: Categorical Exclusion Determination Green Chemistry - CEAM Phase 3 - Working Bug LLC CX(s) Applied: B5.1 Date: 02082011...

  13. CX-100081: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100081: Categorical Exclusion Determination Harnessing the Hydro-Electric Potential of Engineered Drops Award Number: DE-EE0005428 CX(s) Applied:...

  14. CX-008779: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    9: Categorical Exclusion Determination CX-008779: Categorical Exclusion Determination Curecanti-Poncha-Canon City West-Midway 230-Kilovolt Transmission Line Road Maintenance...

  15. CX-010110: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    10: Categorical Exclusion Determination CX-010110: Categorical Exclusion Determination Hesperus-Montrose (Project No. 3) 345 Kilovolt (kV) Transmission Line and Curecanti-Lost...

  16. CX-012215: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    5: Categorical Exclusion Determination CX-012215: Categorical Exclusion Determination Curecanti-Poncha 230-Kilovolt Transmission Line Vegetation Management Under the Uncompahgre...

  17. CX-008790: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    90: Categorical Exclusion Determination CX-008790: Categorical Exclusion Determination Routine Maintenance of Hesperus-Montrose 345 Kilovolt Transmission Line Access Roads San...

  18. CX-012355: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    55: Categorical Exclusion Determination CX-012355: Categorical Exclusion Determination Kayenta-Navajo 230-kilovolt Transmission Line Landing Construction and Insulator Replacement,...

  19. CX-008778: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    8: Categorical Exclusion Determination CX-008778: Categorical Exclusion Determination Combined Crew Vegetation Management on the Curecanti-Poncha 230 Kilovolt Transmission Line...

  20. CX-010109: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    09: Categorical Exclusion Determination CX-010109: Categorical Exclusion Determination Curecanti-Poncha 230 Kilovolt Transmission Line Cross Bar Ranch Project CX(s) Applied: B1.3...

  1. CX-100294 Categorical Exclusion Determination | Department of...

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

    4 Categorical Exclusion Determination CX-100294 Categorical Exclusion Determination Texturizing Wind Turbine Towers to Reduce Bat Mortality Award Number: DE-EE0007033 CX(s)...

  2. CX-003937: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-003937: Categorical Exclusion Determination Hawaii Energy Sustainability Program (Subtask 2.4.1: Evaluate Carbonized Biomass Samples) CX(s)...

  3. CX-001515: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination CX-001515: Categorical Exclusion Determination Cedarville School District Retrofit of Heating and Cooling Systems with Geothermal Heat Pumps and Ground...

  4. CX-002355: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002355: Categorical Exclusion Determination Kansas City Power and Light (KCP&L) Green Impact Zone Smart Grid Demonstration CX(s) Applied:...

  5. CX-009019: Categorical Exclusion Determination | Department of...

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

    Determination CX-009019: Categorical Exclusion Determination "Catalyst-Assisted Manufacture of Olefins from Natural Gas Liquids: Prototype Development CX(s) Applied: A9, B3.6...

  6. CX-004247: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004247: Categorical Exclusion Determination Carolina Blue Skies Initiative CX(s) Applied: A1, B5.1 Date: 10142010 Location(s): Indian Trail,...

  7. CX-011995: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011995: Categorical Exclusion Determination Hat Rock Tap Switching Station Equipment Transfer CX(s) Applied: B1.24 Date: 04102014 Location(s):...

  8. Determining sand-body geometries for waterflood reservoirs: Examples from Oklahoma

    SciTech Connect (OSTI)

    Kreisa, R.D.; Pinero, E. )

    1987-02-01

    Waterflood projects require an accurate knowledge of reservoir geometry and well-to-well continuity. However, sandstones with thin, multiple-pay zones can be extremely difficult to correlate with confidence. Two case studies of Pennsylvanian sandstones in Oklahoma illustrate how a model for the depositional history of such reservoirs can be an effective tool for determining reservoir continuity. In contrast, correlation criteria such as similar wireline log signatures and relative sand-body thicknesses are not reliable in many situations. In Southwest Logan field (Beaver County), 5 to 15-ft thick reservoir sands formed as shallow marine sand ridges. Their dimensions were approximated from height-to-width ratios of modern sand ridges. Then the reservoir sands were mapped using wireline logs and core data. Individual reservoir sands were approximately 1-2 km wide and stacked en echelon vertically. Thus, a line-drive waterflood pattern oriented parallel to the axes of the ridges is recommended. Tatums field (Carter County) consists of 5 to 50-ft thick sandstones deposited in various deltaic environments. Distributary channel sands have good continuity downdip, but are narrow and lenticular across depositional strike. Crevasse splay and other bay-fill sands were deposited marginal to the channels and are extremely discontinuous. This depositional model can be used to improve flood patterns for these sands, leading to improved sweep efficiency. In both examples, for effective mapping, the depositional facies models have been used to register reservoir quality and wireline log signatures.

  9. Liquid chromatographic determination of water

    DOE Patents [OSTI]

    Fortier, N.E.; Fritz, J.S.

    1990-11-13

    A sensitive method for the determination of water in the presence of common interferences is presented. The detection system is based on the effect of water on the equilibrium which results from the reaction aryl aldehydes, such as cinnamaldehyde and methanol in the eluent to form cinnamaldehyde dimethylacetal, plus water. This equilibrium is shifted in a catalytic atmosphere of a hydrogen ion form past column reactor. The extent of the shift and the resulting change in absorbance are proportional to the amount of water present. 1 fig.

  10. Crystal face temperature determination means

    DOE Patents [OSTI]

    Nason, D.O.; Burger, A.

    1994-11-22

    An optically transparent furnace having a detection apparatus with a pedestal enclosed in an evacuated ampule for growing a crystal thereon is disclosed. Temperature differential is provided by a source heater, a base heater and a cold finger such that material migrates from a polycrystalline source material to grow the crystal. A quartz halogen lamp projects a collimated beam onto the crystal and a reflected beam is analyzed by a double monochromator and photomultiplier detection spectrometer and the detected peak position in the reflected energy spectrum of the reflected beam is interpreted to determine surface temperature of the crystal. 3 figs.

  11. Determination of a mutational spectrum

    DOE Patents [OSTI]

    Thilly, William G. (Winchester, MA); Keohavong, Phouthone (Cambridge, MA)

    1991-01-01

    A method of resolving (physically separating) mutant DNA from nonmutant DNA and a method of defining or establishing a mutational spectrum or profile of alterations present in nucleic acid sequences from a sample to be analyzed, such as a tissue or body fluid. The present method is based on the fact that it is possible, through the use of DGGE, to separate nucleic acid sequences which differ by only a single base change and on the ability to detect the separate mutant molecules. The present invention, in another aspect, relates to a method for determining a mutational spectrum in a DNA sequence of interest present in a population of cells. The method of the present invention is useful as a diagnostic or analytical tool in forensic science in assessing environmental and/or occupational exposures to potentially genetically toxic materials (also referred to as potential mutagens); in biotechnology, particularly in the study of the relationship between the amino acid sequence of enzymes and other biologically-active proteins or protein-containing substances and their respective functions; and in determining the effects of drugs, cosmetics and other chemicals for which toxicity data must be obtained.

  12. Modeling Tidal Stream Energy Extraction and its Effects on Transport Processes in a Tidal Channel and Bay System Using a Three-dimensional Coastal Ocean Model

    SciTech Connect (OSTI)

    Yang, Zhaoqing; Wang, Taiping; Copping, Andrea E.

    2013-02-28

    This paper presents a numerical modeling study for simulating in-stream tidal energy extraction and assessing its effects on the hydrodynamics and transport processes in a tidal channel and bay system connecting to coastal ocean. A marine and hydrokinetic (MHK) module was implemented in a three-dimensional (3-D) coastal ocean model using the momentum sink approach. The MHK model was validated with the analytical solutions for tidal channels under one-dimensional (1-D) conditions. Model simulations were further carried out to compare the momentum sink approach with the quadratic bottom friction approach. The effects of 3-D simulations on the vertical velocity profile, maximum extractable energy, and volume flux reduction across the channel were investigated through a series of numerical experiments. 3-D model results indicate that the volume flux reduction at the maximum extractable power predicted by the 1-D analytical model or two-dimensional (2-D) depth-averaged numerical model may be overestimated. Maximum extractable energy strongly depends on the turbine hub height in the water column, and which reaches a maximum when turbine hub height is located at mid-water depth. Far-field effects of tidal turbines on the flushing time of the tidal bay were also investigated. Model results demonstrate that tidal energy extraction has a greater effect on the flushing time than volume flux reduction, which could negatively affect the biogeochemical processes in estuarine and coastal waters that support primary productivity and higher forms of marine life.

  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. 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.

  15. Drug testing Example for Conditional Probability and Bayes Theorem Suppose that a drug test for an illegal drug is such that it is 98% accurate in the case of a

    E-Print Network [OSTI]

    Gross, Louis J.

    Drug testing Example for Conditional Probability and Bayes Theorem Suppose that a drug test a positive result with probability .98 in the case that the tested individual uses the drug) and 90% accurate not use the drug). Suppose it is known that 10% of the entire population uses this drug. You test someone

  16. Marine mammals and sea turtles share our coastal waters, including bays, sounds, and estuaries. This means, people can easily enjoy viewing them in the wild, but it also puts them

    E-Print Network [OSTI]

    Marine mammals and sea turtles share our coastal waters, including bays, sounds, and estuaries entangled in or ingesting marine debris, being illegally fed, being struck by boat propellers, or being (marine mammals), or reproduce. For these and others reasons, marine mammals and sea turtles are protected

  17. Ballistic projectile trajectory determining system

    DOE Patents [OSTI]

    Karr, Thomas J. (Alamo, CA)

    1997-01-01

    A computer controlled system determines the three-dimensional trajectory of a ballistic projectile. To initialize the system, predictions of state parameters for a ballistic projectile are received at an estimator. The estimator uses the predictions of the state parameters to estimate first trajectory characteristics of the ballistic projectile. A single stationary monocular sensor then observes the actual first trajectory characteristics of the ballistic projectile. A comparator generates an error value related to the predicted state parameters by comparing the estimated first trajectory characteristics of the ballistic projectile with the observed first trajectory characteristics of the ballistic projectile. If the error value is equal to or greater than a selected limit, the predictions of the state parameters are adjusted. New estimates for the trajectory characteristics of the ballistic projectile are made and are then compared with actual observed trajectory characteristics. This process is repeated until the error value is less than the selected limit. Once the error value is less than the selected limit, a calculator calculates trajectory characteristics such a the origin and destination of the ballistic projectile.

  18. Ballistic projectile trajectory determining system

    DOE Patents [OSTI]

    Karr, T.J.

    1997-05-20

    A computer controlled system determines the three-dimensional trajectory of a ballistic projectile. To initialize the system, predictions of state parameters for a ballistic projectile are received at an estimator. The estimator uses the predictions of the state parameters to estimate first trajectory characteristics of the ballistic projectile. A single stationary monocular sensor then observes the actual first trajectory characteristics of the ballistic projectile. A comparator generates an error value related to the predicted state parameters by comparing the estimated first trajectory characteristics of the ballistic projectile with the observed first trajectory characteristics of the ballistic projectile. If the error value is equal to or greater than a selected limit, the predictions of the state parameters are adjusted. New estimates for the trajectory characteristics of the ballistic projectile are made and are then compared with actual observed trajectory characteristics. This process is repeated until the error value is less than the selected limit. Once the error value is less than the selected limit, a calculator calculates trajectory characteristics such a the origin and destination of the ballistic projectile. 8 figs.

  19. CX-002586: Categorical Exclusion Determination | Department of...

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

    86: Categorical Exclusion Determination CX-002586: Categorical Exclusion Determination Maine-County-Cumberland CX(s) Applied: B1.32, B2.5, A9, A11, B5.1 Date: 04292010...

  20. CX-010240: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-010240: Categorical Exclusion Determination Gulf Offshore Wind Project CX(s) Applied: A9, B3.1, B3.2, B3.3, B3.6, B3.16 Date: 02062013...