National Library of Energy BETA

Sample records for bay cxs applied

  1. Apply

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

    Apply Application Process Bringing together top, space science students with internationally recognized researchers at Los Alamos in an educational and collaborative atmosphere....

  2. Apply

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

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

  3. 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

  4. 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

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

    SciTech Connect (OSTI)

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

    2012-06-01

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

  6. Bayesian Model Bayes rule for

    E-Print Network [OSTI]

    Penny, Will

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

  7. San Diego Bay Bibliography

    E-Print Network [OSTI]

    Brueggeman, Peter

    1994-01-01

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

  8. Elliott Bay Scholarship 

    E-Print Network [OSTI]

    Unknown

    2011-08-17

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

  9. Module bay with directed flow

    SciTech Connect (OSTI)

    Torczynski, John R. (Albuquerque, NM)

    2001-02-27

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

  10. 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...

  11. 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

  12. 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

  13. 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...

  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. 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

  16. 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

  17. 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...

  18. 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.

  19. 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

  20. 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

  1. 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...

  2. 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–

  3. 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.

  4. 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

  5. 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

  6. 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.

  7. 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

  8. Applied Math

    E-Print Network [OSTI]

    $author.value

    Current research topics by the Applied Math Faculty members include: Numerical analysis and applications of finite difference, finite element and spectral ...

  9. 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.

  10. 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.

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

    E-Print Network [OSTI]

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

  12. Sedimentary parameters of upper Barataria Bay, Louisiana 

    E-Print Network [OSTI]

    Siegert, Rudolf B

    1961-01-01

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

  13. 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

  14. 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.

  15. Prudhoe Bay Oil Production Optimization: Using Virtual

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  16. Fagatele Bay National Marine Sanctuary GIS Capacity

    E-Print Network [OSTI]

    Wright, Dawn Jeannine

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

  17. Fuzzy decision and control, the Bayes context 

    E-Print Network [OSTI]

    Painter, John H.

    1993-12-15

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

  18. Cape Bowling Green Green BayBowling

    E-Print Network [OSTI]

    Greenslade, Diana

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

  19. Applied combustion

    SciTech Connect (OSTI)

    1993-12-31

    From the title, the reader is led to expect a broad practical treatise on combustion and combustion devices. Remarkably, for a book of modest dimension, the author is able to deliver. The text is organized into 12 Chapters, broadly treating three major areas: combustion fundamentals -- introduction (Ch. 1), thermodynamics (Ch. 2), fluid mechanics (Ch. 7), and kinetics (Ch. 8); fuels -- coal, municipal solid waste, and other solid fuels (Ch. 4), liquid (Ch. 5) and gaseous (Ch. 6) fuels; and combustion devices -- fuel cells (Ch. 3), boilers (Ch. 4), Otto (Ch. 10), diesel (Ch. 11), and Wankel (Ch. 10) engines and gas turbines (Ch. 12). Although each topic could warrant a complete text on its own, the author addresses each of these major themes with reasonable thoroughness. Also, the book is well documented with a bibliography, references, a good index, and many helpful tables and appendices. In short, Applied Combustion does admirably fulfill the author`s goal for a wide engineering science introduction to the general subject of combustion.

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

    SciTech Connect (OSTI)

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

    2013-08-01

    Under this project, Newport Partners (as part of the BA-PIRC research team) evaluated the installation, measured performance, and cost-effectiveness of efficiency upgrade measures for a tenant-in-place DER at the Bay Ridge multifamily (MF) development in Annapolis, Maryland. The design and construction phase of the Bay Ridge project was completed in August 2012. This report summarizes system commissioning, short-term test results, utility bill data analysis, and analysis of real-time data collected over a one-year period after the retrofit was complete. The Bay Ridge project is comprised of a 'base scope' retrofit which was estimated to achieve a 30%+ savings (relative to pre-retrofit) on 186 apartments, and a 'DER scope' which was estimated to achieve 50% savings (relative to pre-retrofit) on a 12-unit building. The base scope was applied to the entire apartment complex, except for one 12-unit building which underwent the DER scope. A wide range of efficiency measures was applied to pursue this savings target for the DER building, including improvements/replacements of mechanical equipment and distribution systems, appliances, lighting and lighting controls, the building envelope, hot water conservation measures, and resident education. The results of this research build upon the current body of knowledge of multifamily retrofits. Towards this end, the research team has collected and generated data on the selection of measures, their estimated performance, their measured performance, and risk factors and their impact on potential measures.

  1. Recent applications of coiled tubing in remedial wellwork at Prudhoe Bay

    SciTech Connect (OSTI)

    Loveland, K.R.; Bond, A.J.

    1996-12-31

    The vast number of wells and unique operating conditions in Alaska`s Prudhoe Bay field have presented many opportunities for those involved in remedial wellwork. Among the technologies that have either been pioneered, tested, or applied there, coiled tubing (CT) ranks as one of the most long lasting and widely used. This paper highlights the more recent applications of CT in the field. The paper begins with a brief overview of the Prudhoe Bay Unit`s (PBU) CT wellwork program and then follows with discussions on eight CT applications that have been developed or expanded in the last two years. Some are new technology and others are old techniques with a new design. Descriptions and procedures are given for each in addition to performance results thus far.

  2. Promising Technology: High Bay Light-Emitting Diodes

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

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

    2015-08-17

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

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

    E-Print Network [OSTI]

    Chrisman, Lonnie

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

  5. 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

  6. 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

  7. 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{\

  8. 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.

  9. 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

  10. 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...

  11. 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.

  12. 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.

  13. 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.

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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.

  19. 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

  20. 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

  1. 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

  2. Bristol Bay Geothermal Area | Open Energy Information

    Open Energy Info (EERE)

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

  3. 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

  4. 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

  5. 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.

  6. Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Applied Mathematics Department of Applied Mathematics 208 Engineering 1 Building 10 W. 32nd St, Graduate Studies: Xiaofan Li The Department of Applied Mathematics puts mathe- matics to work solving, such as how to construct methods for multi-criteria decision making (requiring discrete mathematics

  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. 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...

  12. 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:...

  13. 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.

  14. 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.

  15. 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

  16. 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.

  17. 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.

  18. 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...

  19. 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...

  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. 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...

  7. 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...

  8. 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

  9. 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.

  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. MATHMATICS & APPLIED STATISTICS

    E-Print Network [OSTI]

    Frey, Jesse C.

    MATHMATICS & APPLIED STATISTICS Graduate Studies in Build Your Future with Graduate Study in Mathematics or Applied Statistics Our graduate programs can help you advance your career in education will deepen your knowledge and prepare you for further study. The Master of Science in Applied Statistics

  14. 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

  15. 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...

  16. 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.

  17. 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...

  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. Applied Research Center

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

    ARC Privacy and Security Notice Skip over navigation Search the JLab Site Applied Research Center Please upgrade your browser. This site's design is only visible in a graphical...

  1. Applied Math Publications

    E-Print Network [OSTI]

    The following sample of the publications has been made available to you by members of the Applied faculty through their personal homepages. Prof. Zhiqiang

  2. Applied Modern Physics

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

    1 Applied Modern Physics From the first bionic eye to airport scanners that detect liquid explosives, our expertise in developing advanced diagnostics results in real-world...

  3. 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

  4. 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.

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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...

  10. 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

  11. 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.

  12. INTRODUCTION APPLIED GEOPHYSICS

    E-Print Network [OSTI]

    Merriam, James

    GEOL 384.3 INTRODUCTION TO APPLIED GEOPHYSICS OUTLINE INTRODUCTION TO APPLIED GEOPHYSICS GEOL 384 unknowns; the ones we don't know we don't know. And if one looks throughout the history of geophysics he didn't really say geophysics. He said, " ... our country and other free countries ...". But I am

  13. Applied Music Curriculum Guide

    E-Print Network [OSTI]

    Kearfott, R. Baker

    1 Applied Music Curriculum Guide The University of Louisiana at Lafayette School of Music #12;2 Revised Spring 2009 UNIVERSITY OF LOUISIANA, Lafayette SCHOOL OF MUSIC APPLIED MUSIC CURRICULUM GUIDE Dr. Garth Alper, Director DEGREES OFFERED Bachelor of Music with emphases in Performance, Theory

  14. 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.

  15. Analytical Chemistry Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    Architecture Information Technology & Management Integrated Building Delivery Landscape Architecture ManagementAnalytical Chemistry Applied Mathematics Architectural Engineering Architecture Architecture Electricity Markets Environmental Engineering Food Process Engineering Food Safety & Technology

  16. Sandia Energy - Applied & Computational Math

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

    Applied & Computational Math Home Energy Research Advanced Scientific Computing Research (ASCR) Applied & Computational Math Applied & Computational Mathcwdd2015-03-26T13:34:5...

  17. KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics

    E-Print Network [OSTI]

    Columbia University

    MEMBERSHIP OF PROFESSIONAL SOCIETIES IEEE, Materials Research Society (MRS); American Physical Society (APS1 KATAYUN (KATY) BARMAK Department of Applied Physics and Applied Mathematics Seeley W. Mudd. of Applied Physics and Applied Mathematics, Columbia University 2011-present Philips Electronics Professor

  18. 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.

  19. 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

  20. 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.

  1. Information Science, Computing, Applied Math

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

    Information Science, Computing, Applied Math science-innovationassetsimagesicon-science.jpg Information Science, Computing, Applied Math National security depends on science...

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

    Open Energy Info (EERE)

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

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

    Open Energy Info (EERE)

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

  4. 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...

  5. Apply for Beamtime

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

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

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

    E-Print Network [OSTI]

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

    2014-01-15

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

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

    E-Print Network [OSTI]

    Wei Wang; for the Daya Bay collaboration

    2009-10-23

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

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

    E-Print Network [OSTI]

    Wang, Wei

    2009-01-01

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

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

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

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

  10. 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 

  11. Journal of applied mechanics

    E-Print Network [OSTI]

    Nov 11, 2009 ... Location: Engineering (Periodicals) ... wave propagation in such systems is examined in reference (4). Gassman (5, 6) has ... Now Research Scientist at Missile. Systems ... Presented at the Applied Mechanics Division Summer Conference,. Berkeley ..... This will be true in some cases for a water- saturated ...

  12. SUSTAINABILITY WHO CAN APPLY

    E-Print Network [OSTI]

    FUNDED BY CALL FOR SUSTAINABILITY RESEARCH STUDENT WHO CAN APPLY Undergraduate and graduate Participate in the Global Change & Sustainability Center's Research Symposium; attend workshops with faculty or publish in the U's student-run sustainability publication to be released in May 2014. Are you conducting

  13. APPLYING RESEARCH ON METACOGNITION

    E-Print Network [OSTI]

    School of Medicine01/09/14 #12;Define metacognition and explain its importance in teaching and learning, understand key genetic terms.) Next, apply knowledge to determine inheritance patterns and to formulate students presume that a best response strategy is to relate everything they know about a subject figuring

  14. 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-

  15. Old Harbor Scammon Bay Hydro Feasibility

    SciTech Connect (OSTI)

    Brent Petrie

    2007-06-27

    The grantee, Alaska Village Electric Cooperative (AVEC), is a non-profit member owned rural electric generation and distribution cooperative. The proposed Project is located near the community of Old Harbor, Alaska. Old Harbor is on the southeastern coast of Kodiak Island, approximately 70 miles southwest of the City of Kodiak and 320 miles southwest of Anchorage. In 1998 sufficient information had been developed to apply for a license to construct the project and the cost was estimated to be $2,445,000 for a 500 KW project on Lagoon Creek. Major features of the project included an eight-foot high diversion dam on Mountain Creek, a desander box, a 9,800-foot long penstock to the powerhouse on Lagoon Creek, and a 5,500-foot long access road. It was also anticipated that the project could provide an additional source of water to Old Harbor. The report details the history and lessons learned in designing and permiting the proposed hydroelectric facility.

  16. 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...

  17. 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.

  18. 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

  19. 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

  20. 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...

  1. 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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...

  8. 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

  9. 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.

  10. 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

  11. 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

  12. ORISE: Applied health physics projects

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

    Applied health physics projects The Oak Ridge Institute for Science and Education (ORISE) provides applied health physics services to government agencies needing technical support...

  13. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05

    The presentation focuses on some of the time-proven and new technologies being used to accomplish radiological work. These techniques can be applied at nuclear facilities to reduce radiation doses and protect the environment. The last reactor plants and processing facilities were shutdown and Hanford was given a new mission to put the facilities in a safe condition, decontaminate, and prepare them for decommissioning. The skills that were necessary to operate these facilities were different than the skills needed today to clean up Hanford. Workers were not familiar with many of the tools, equipment, and materials needed to accomplish:the new mission, which includes clean up of contaminated areas in and around all the facilities, recovery of reactor fuel from spent fuel pools, and the removal of millions of gallons of highly radioactive waste from 177 underground tanks. In addition, this work has to be done with a reduced number of workers and a smaller budget. At Hanford, facilities contain a myriad of radioactive isotopes that are 2048 located inside plant systems, underground tanks, and the soil. As cleanup work at Hanford began, it became obvious early that in order to get workers to apply ALARA and use hew tools and equipment to accomplish the radiological work it was necessary to plan the work in advance and get radiological control and/or ALARA committee personnel involved early in the planning process. Emphasis was placed on applying,ALARA techniques to reduce dose, limit contamination spread and minimize the amount of radioactive waste generated. Progress on the cleanup has,b6en steady and Hanford workers have learned to use different types of engineered controls and ALARA techniques to perform radiological work. The purpose of this presentation is to share the lessons learned on how Hanford is accomplishing radiological work.

  14. Applied Science/Techniques

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfateSciTechtail.Theory of raregovAboutRecovery ActTools to someone byApplied Science/Techniques

  15. 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

  16. 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.

  17. 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)

  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.; 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)

  19. 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

  20. 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:

  1. 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:

  2. 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,

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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,

  8. 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

  9. 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,

  10. 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,

  11. 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,

  12. 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,

  13. 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

  14. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    SCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan Summary | 1 SCHOOL OF APPLIED TECHNOLOGY STRATEGIC PLAN SUMMARY MISSION STATEMENT The mission Technology and Management program to achieve national visibility. #12;School of Applied Technology Strategic

  15. 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.

  16. 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).

  17. 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.

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

    E-Print Network [OSTI]

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

    2004-01-01

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

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

    E-Print Network [OSTI]

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

    2004-01-01

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

  20. John A. Luczaj $ Department of Natural and Ap-plied Sciences, University of WisconsinGreen Bay,

    E-Print Network [OSTI]

    Luczaj, John A.

    and sedimentology from the University of Cincinnati. His interests include pa- leontology and stratigraphy, Devo- nian stratigraphy and depositional facies of the Michigan Basin, and methods of improved oil

  1. Applied Bohmian Mechanics

    E-Print Network [OSTI]

    A. Benseny; G. Albareda; A. S. Sanz; J. Mompart; X. Oriols

    2014-10-20

    Bohmian mechanics provides an explanation of quantum phenomena in terms of point particles guided by wave functions. This review focuses on the formalism of non-relativistic Bohmian mechanics, rather than its interpretation. Although the Bohmian and standard quantum theories have different formalisms, both give exactly the same predictions for all phenomena. Fifteen years ago, the quantum chemistry community began to study the practical usefulness of Bohmian mechanics. Since then, the scientific community has mainly applied it to study the (unitary) evolution of single-particle wave functions, either by developing efficient quantum trajectory algorithms or by providing a trajectory-based explanation of complicated quantum phenomena. Here we present a large list of examples showing how the Bohmian formalism provides a useful solution in different forefront research fields for this kind of problems (where the Bohmian and the quantum hydrodynamic formalisms coincide). In addition, this work also emphasizes that the Bohmian formalism can be a useful tool in other types of (non-unitary and nonlinear) quantum problems where the influence of the environment or the global wave function are unknown. This review contains also examples on the use of the Bohmian formalism for the many-body problem, decoherence and measurement processes. The ability of the Bohmian formalism to analyze this last type of problems for (open) quantum systems remains mainly unexplored by the scientific community. The authors of this review are convinced that the final status of the Bohmian theory among the scientific community will be greatly influenced by its potential success in these type of problems that present non-unitary and/or nonlinear quantum evolutions. A brief introduction of the Bohmian formalism and some of its extensions are presented in the last part of this review.

  2. 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.

  3. Applying Mathematics.... ... to catch criminals

    E-Print Network [OSTI]

    O'Leary, Michael

    Applying Mathematics.... ... to catch criminals Mike O'Leary Department of Mathematics Towson University Stevenson University Kappa Mu Epsion 2008 Mike O'Leary (Towson University) Applying mathematics Department Mike O'Leary (Towson University) Applying mathematics to catch criminals September 10, 2008 2 / 42

  4. Journal of Applied Ecology 2004

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2004 41, 922­933 © 2004 British Ecological Society Blackwell Publishing-scale, Sacramento River, succession, vegetation Journal of Applied Ecology (2004) 41, 922­933 Introduction More than@ucsc.edu). #12;923 Riparian forest restoration © 2004 British Ecological Society, Journal of Applied Ecology, 41

  5. Journal of Applied Ecology 2002

    E-Print Network [OSTI]

    Holl, Karen

    Journal of Applied Ecology 2002 39, 960­970 © 2002 British Ecological Society Blackwell Science- tion, succession. Journal of Applied Ecology (2002) 39, 960­970 Introduction Efforts to reclaim@ucsc.edu). #12;961 Vegetation on reclaimed mines © 2002 British Ecological Society, Journal of Applied Ecology

  6. Journal of Applied Ecology 2007

    E-Print Network [OSTI]

    Journal of Applied Ecology 2007 44, 748­759 © 2007 The Authors. Journal compilation © 2007 British, distribution, edge, marbled murrelets, model transferability, old-growth Journal of Applied Ecology (2007) 44-nesting Alcid © 2007 The Authors. Journal compilation © 2007 British Ecological Society, Journal of Applied

  7. 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.

  8. 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.

  9. 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.

  10. Apply for Our Jobs | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Life Extension Program NNSA Blog Pantex operator supports women in STEM luncheon NNSA Blog Bay Area national labs team to tackle long-standing automotive hydrogen storage challenge...

  11. 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

  12. 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...

  13. 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 ...

  14. 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

  15. 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...

  16. 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...

  17. 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...

  18. 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 ...

  19. 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...

  20. 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

  1. 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...

  2. 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...

  3. 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 ...

  4. 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

  5. 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.

  6. 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

  7. 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...

  8. 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...

  9. 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

  10. 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...

  11. 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...

  12. 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...

  13. Sandia Energy - Applied Turbulent Combustion

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

    and they form the basis for the creation of validated submodels that bridge fundamental energy sciences with applied device engineering and optimization. Turbulent-combustion-lab...

  14. 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.

  15. 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

  16. The Foundations of Applied Mathematics

    E-Print Network [OSTI]

    Baez, John

    The Foundations of Applied Mathematics John Baez Category-Theoretic Foundations of Mathematics Workshop May 5, 2013 #12;We often picture the flow of information about mathematics a bit like this: SCIENCE AND ENGINEERING APPLIED MATHEMATICS PURE MATHEMATICS FOUNDATIONS OF MATHEMATICS #12;Of course

  17. 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.

  18. 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.

  19. 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

  20. GRADUATE BOOKLET Physics / Applied Physics

    E-Print Network [OSTI]

    Rock, Chris

    GRADUATE BOOKLET Physics / Applied Physics This booklet contains rules, guidelines and general information about graduate studies in the Physics Department at Texas Tech University. It does not replace documents. Contents I. General Comments: Admission, general policies, deadlines, etc II. Minimum

  1. Modeling applied to problem solving

    E-Print Network [OSTI]

    Pawl, Andrew

    We describe a modeling approach to help students learn expert problem solving. Models are used to present and hierarchically organize the syllabus content and apply it to problem solving, but students do not develop and ...

  2. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    . MANUFACTURINGTECHNOLOGY. #12;BE A LEADER OF THE NEXT INDUSTRIAL REVOLUTION. An undergraduate degree in IndustrialINDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY INDUSTRIAL OPERATIONS. RESOURCE MANAGEMENT. INDUSTRIAL FACILITIES. SUPPLY CHAIN MANAGEMENT. SUSTAINABILITY

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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.

  8. 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...

  9. 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

  10. 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

  11. CX-009418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Electron Beam Melting CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  12. CX-009420: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Additive Manufacturing Using EOSINT M280 CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  13. CX-009419: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Magnetic Pulser CX(s) Applied: None applied. Date: 10/30/2012 Location(s): Missouri Offices(s): Kansas City Site Office

  14. 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...

  15. 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...

  16. 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...

  17. 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.

  18. 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

  19. Applying for a Training Contract

    E-Print Network [OSTI]

    , usual deadline is July 31, 2013 for entry in September 2015. Students should apply in the 2nd year aimed at 2nd year LLB students & final year non-law students. Competition for these places is often more will successfully complete the Legal Practice Course each year. From the point of view of the student, there can

  20. Applied Sustainability Political Science 319

    E-Print Network [OSTI]

    Young, Paul Thomas

    1 Applied Sustainability Political Science 319 College of Charleston Spring 2013 Day/Time: TH 1 Address: fisherb@cofc.edu Office: 284 King Street, #206 (Office of Sustainability) Office Hours: by appt sustainability. It will focus on the development of semester-long sustainability projects, from conception

  1. Journal of Applied Ecology 2006

    E-Print Network [OSTI]

    Thomas, Len

    Journal of Applied Ecology 2006 43, 377­384 © 2006 The Authors. Journal compilation © 2006 British Ecological Society Blackwell Publishing Ltd METHODOLOGICAL INSIGHTS Point transect sampling with traps, Etive House, Beechwood Park, Inverness IV2 3BW, UK Summary 1. The ability to monitor abundance of animal

  2. Applying the Continuous Monitoring Technical

    E-Print Network [OSTI]

    by providing technical leadership for the nation's measurement and standards infrastructure. ITL develops tests of technical, physical, administrative, and management standards and guidelines for the cost-effective securityApplying the Continuous Monitoring Technical Reference Model to the Asset, Configuration

  3. temperature heat pumps applied to

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Very high- temperature heat pumps applied to energy efficiency in industry Application of industrial heat pumps June 21 th 2012 J-L Peureux, E. Sapora, D. Bobelin EDF R&D #12;Achema 2012 Frankfurt There are thermal requirements in the industrial plant Treq Heat exchanger = Cons ~ 0 CO2 ~ -100% Treq

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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.

  20. 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

  1. 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

  2. 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

  3. 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

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

    E-Print Network [OSTI]

    Cortes, Corinna

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

  5. 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

  6. 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...

  7. 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.

  8. 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.

  9. 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

  10. 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.

  11. 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

  12. 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

  13. 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

  14. 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.

  15. 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.

  16. 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.

  17. Applied Mathematics Conferences and Workshops | U.S. DOE Office...

    Office of Science (SC) Website

    Applied Mathematics Applied Mathematics Conferences And Workshops Advanced Scientific Computing Research (ASCR) ASCR Home About Research Applied Mathematics Applied Mathematics...

  18. International combustion engines; Applied thermosciences

    SciTech Connect (OSTI)

    Ferguson, C.R.

    1985-01-01

    Focusing on thermodynamic analysis - from the requisite first law to more sophisticated applications - and engine design, this book is an introduction to internal combustion engines and their mechanics. It covers the many types of internal combustion engines, including spark ignition, compression ignition, and stratified charge engines, and examines processes, keeping equations of state simple by assuming constant specific heats. Equations are limited to heat engines and later applied to combustion engines. Topics include realistic equations of state, stroichiometry, predictions of chemical equilibrium, engine performance criteria, and friction, which is discussed in terms of the hydrodynamic theory of lubrication and experimental methods such as dimensional analysis.

  19. ORISE: Applied health physics projects

    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 NewsInformationJesseworkSURVEY UNIVERSE The 2014 surveyNuclearHow toContactUndergraduateApplied

  20. Sandia Energy - Applied Turbulent Combustion

    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 RoomPreservation of Fe(II) byMultidayAlumni >ScientificApplied Turbulent Combustion Home

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

    E-Print Network [OSTI]

    Cook, Gregory D.

    1997-01-01

    '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...

  2. 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

  3. 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 ...

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

    E-Print Network [OSTI]

    Hyatt, Jason

    2006-01-01

    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 ...

  5. 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...

  6. 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...

  7. 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

  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. 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...

  11. At the Intersection of Applied Formal Methods

    E-Print Network [OSTI]

    Zimmerman, Daniel M.

    of Technology University of Washington Tacoma NTU Graduate Seminar, - 7 January 2011 #12;Outline · Applied

  12. Building Reliable Software Applied Formal Methods

    E-Print Network [OSTI]

    Zimmerman, Daniel M.

    Institute of Technology University of Washington Tacoma #12;Outline · Applied Formal Methods · Correctness

  13. 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...

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

    SciTech Connect (OSTI)

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

    1998-12-31

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

  15. 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.

  16. 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.

  17. 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...

  18. 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.

  19. 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

  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

    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

  1. 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

  2. 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

  3. CX-007571: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pulaski County - Wastewater CX(s) Applied: B5.1 Date: 12/29/2011 Location(s): Missouri Offices(s): Golden Field Office

  4. CX-007596: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ohio Advanced Transportation Partnership CX(s) Applied: B5.23 Date: 01/25/2012 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  5. CX-012729: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydrogen Sulfide Scavenger BOA (Multiple) CX(s) Applied: B5.2Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  6. CX-008588: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Petersburg Solar Pilot Project CX(s) Applied: B5.1 Date: 07/19/2012 Location(s): Florida Offices(s): Golden Field Office

  7. CX-008684: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metaline Radio Station Upgrade Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  8. CX-010148: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Merritt Radio Station Upgrade CX(s) Applied: B1.19 Date: 04/18/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  9. CX-008706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tunk Mountain Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/30/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  10. CX-012716: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    General Scientific Infrastructure Support for University of Wisconsin CX(s) Applied: B1.31Date: 41844 Location(s): WisconsinOffices(s): Nuclear Energy

  11. CX-008543: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Colorado State Energy Plan 2012 CX(s) Applied: A9, A11 Date: 06/25/2012 Location(s): Colorado Offices(s): Golden Field Office

  12. CX-012333: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Support Buildings CX(s) Applied: B1.15 Date: 06/03/2014 Location(s): Washington Offices(s): River Protection-Richland Operations Office

  13. CX-011165: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Heavy Mineral Separation CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  14. CX-012817: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bell Maintenance Headquarters Access Road Maintenance CX(s) Applied: B1.3Date: 41890 Location(s): WashingtonOffices(s): Bonneville Power Administration

  15. CX-006225: Categorical Exclusion Determination | Department of...

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

    Infrastructure Upgrades - Materials and Fuel Complex (MFC)- Irradiated Materials Characterization Laboratory (IMCL) CX(s) Applied: B3.6 Date: 06072011 Location(s): Idaho Falls,...

  16. CX-010791: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Gulf of Mexico Miocene Carbon Dioxide (CO2) Site Characterization Mega Transect CX(s) Applied: A9, A11 Date: 08142013 Location(s): Texas...

  17. Categorical Exclusion Determinations: Science | Department of...

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

    Determination Establishment of an Easement for Enhanced Electrical Service to the Computational Sciences Facility CX(s) Applied: B1.7 Date: 08302011 Location(s):...

  18. CX-011634: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Closure Turf Installation CX(s) Applied: B6.1 Date: 08/27/2013 Location(s): Texas Offices(s): Pantex Site Office

  19. CX-008993: Categorical Exclusion Determination | Department of...

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

    CX-008993: Categorical Exclusion Determination "Continuous Processing of High Thermal Conductivity Polyethylene Fibers and Sheets CX(s) Applied: A9, B3.6 Date: 0822...

  20. CX-012776: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Catalyst Processing, KCP14-05 CX(s) Applied: NOT NOTEDDate: 41857 Location(s): MissouriOffices(s): Kansas City Site Office

  1. CX-008146: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Formation Evaluator Tools (Haliburton) CX(s) Applied: B3.7 Date: 09/11/2011 Location(s): Wyoming Offices(s): RMOTC

  2. 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...

  3. CX-008144: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Planned Repair of Flow Lines CX(s) Applied: B5.4 Date: 08/09/2011 Location(s): Wyoming Offices(s): RMOTC

  4. 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...

  5. CX-012730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace West Hackberry Radio Tower CX(s) Applied: B1.19Date: 41880 Location(s): LouisianaOffices(s): Strategic Petroleum Reserve Field Office

  6. CX-011069: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Induction Furnace Melting CX(s) Applied: B3.6 Date: 08/29/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  7. CX-010057: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Protective Relay Installation CX(s) Applied: B1.7 Date: 01/29/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  8. CX-011214: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sensitive Instrument Facility CX(s) Applied: B3.6 Date: 07/10/2013 Location(s): Iowa Offices(s): Ames Site Office

  9. CX-012795: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Bonneville Substation 23- Kilovolt Line Retermination CX(s) Applied: B4.11Date: 41926 Location(s): WashingtonOffices(s): Bonneville Power Administration

  10. CX-010618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Midwest Region Alternative Fuels Project CX(s) Applied: 0 Date: 07/19/2013 Location(s): Missouri Offices(s): National Energy Technology Laboratory

  11. CX-012789: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building 440 CNM Clean Room Expansion CX(s) Applied: B3.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  12. CX-008438: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 06/27/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  13. CX-008282: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Biogas Reconditioning Project CX(s) Applied: B5.1 Date: 05/01/2012 Location(s): Nevada Offices(s): National Energy Technology Laboratory

  14. Categorical Exclusion Determinations: Western Area PowerAdministratio...

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

    Center October 26, 2009 CX-005544: Categorical Exclusion Determination Power Rate Formula for the Provo River Project of the Western Area Power Administration CX(s) Applied:...

  15. CX-012311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Accelerator Test Facility II CX(s) Applied: B3.10 Date: 05/28/2014 Location(s): New York Offices(s): Brookhaven Site Office

  16. CX-008799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Jack Case Showers Projects CX(s) Applied: B1.3 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  17. CX-010763: Categorical Exclusion Determination | Department of...

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

    CX-010763: Categorical Exclusion Determination Nevada Desert Research Institute- Photovoltaic Installation CX(s) Applied: B5.16 Date: 07172013 Location(s): Nevada Offices(s):...

  18. CX-012254: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05/28/2014 Location(s): Tennessee Offices(s): Golden Field Office

  19. CX-012253: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05/27/2014 Location(s): Oregon Offices(s): Golden Field Office

  20. 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...

  1. 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...

  2. 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

  3. 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,...

  4. 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:...

  5. 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,...

  6. 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...

  7. CX-012664: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SBIR/STTR Phase 0 Outreach and Assistance Program CX(s) Applied: A8Date: 41844 Location(s): IllinoisOffices(s): Chicago Office

  8. 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):...

  9. CX-012433: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Computer Simulation and Prototype Construction and Testing CX(s) Applied: A9Date: 41878 Location(s): GeorgiaOffices(s): National Energy Technology Laboratory

  10. 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,...

  11. 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...

  12. 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):...

  13. 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,...

  14. 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:...

  15. 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:...

  16. CX-008534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Peter Wentz Geothermal CX(s) Applied: B5.19 Date: 05/23/2012 Location(s): Pennsylvania Offices(s): Golden Field Office

  17. CX-008204: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Finch CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  18. CX-008203: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Demoret CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  19. CX-009442: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cutters Grove, Anoka CX(s) Applied: A9, B5.19 Date: 07/31/2012 Location(s): Minnesota Offices(s): Golden Field Office

  20. CX-007836: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Building Retrofits CX(s) Applied: B5.19 Date: 01/30/2012 Location(s): Illinois Offices(s): Energy Efficiency and Renewable Energy

  1. CX-008241: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Teter CX(s) Applied: B5.19 Date: 05/15/2012 Location(s): Missouri Offices(s): Golden Field Office

  2. CX-008205: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energize Missouri HUG Weaver CX(s) Applied: B5.19 Date: 03/23/2012 Location(s): Missouri Offices(s): Golden Field Office

  3. CX-012097: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Microgrid Demonstration Project CX(s) Applied: B5.15 Date: 03/24/2014 Location(s): Idaho Offices(s): Idaho Operations Office

  4. CX-002327: Categorical Exclusion Determination | Department of...

    Office of Environmental Management (EM)

    Determination Central Facility Area and Advanced Test Reactor-Complex Analytical and Research and Development Laboratory Operation (Overarching) CX(s) Applied: B3.6 Date: 05...

  5. 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...

  6. CX-008545: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Energy Evolution and Diffusion Studies CX(s) Applied: A9 Date: 06/19/2012 Location(s): CX: none Offices(s): Golden Field Office

  7. 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

  8. 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:...

  9. CX-012122: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    OCGen Module Mooring Project CX(s) Applied: B5.25 Date: 04/29/2014 Location(s): Maine Offices(s): Golden Field Office

  10. CX-006209: Categorical Exclusion Determination | Department of...

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

    Determination Missouri Independent Energy Efficiency Program: Anheuser-Busch - Brewery Energy Efficiency Retrofits CX(s) Applied: B5.1 Date: 07012011 Location(s): Saitn...

  11. 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...

  12. CX-008683: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shaniko Radio Station Replacement Project CX(s) Applied: B1.19 Date: 07/11/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  13. CX-009698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sale of Lakeside Radio Station CX(s) Applied: B1.24 Date: 12/27/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  14. CX-012231: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mica Peak Radio Station upgrade CX(s) Applied: B1.19 Date: 06/09/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  15. CX-011190: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alberton Communication Site Construction CX(s) Applied: B1.19 Date: 08/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  16. CX-010155: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Augspurger Radio Tower Replacement Project CX(s) Applied: B1.19 Date: 04/03/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  17. CX-011401: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Minto Lodge Rehabilitation CX(s) Applied: B5.1 Date: 11/19/2013 Location(s): Alaska Offices(s): Golden Field Office

  18. CX-010237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Pittsburgh Green Innovators Synergy Center CX(s) Applied: A9 Date: 02/28/2013 Location(s): Pennsylvania Offices(s): Golden Field Office

  19. CX-008973: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Petrography Laboratory CX(s) Applied: B3.6 Date: 08/01/2012 Location(s): West Virginia Offices(s): National Energy Technology Laboratory

  20. CX-010730: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Paisley Geothermal Integration CX(s) Applied: B1.7 Date: 08/09/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  1. CX-008161: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prosser Hatchery Backup Generator Replacement CX(s) Applied: B1.31 Date: 04/16/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  2. CX-008700: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Natapoc Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-012788: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bio-Aviation Fuel LCA with GREET CX(s) Applied: B5.15Date: 41906 Location(s): IllinoisOffices(s): Argonne Site Office

  4. CX-012718: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Idaho State University Reactor Laboratory Modernization CX(s) Applied: B1.31Date: 41844 Location(s): IdahoOffices(s): Nuclear Energy

  5. CX-012189: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Microbial Laboratory Analysis CX(s) Applied: B3.12 Date: 05/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  6. CX-012317: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Performance Computing Upgrades CX(s) Applied: B1.31 Date: 06/16/2014 Location(s): Idaho Offices(s): Nuclear Energy

  7. CX-012725: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Materials and Fuel Complex (MFC)-782 Fire Sprinkler Installation CX(s) Applied: B2.2Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy

  8. CX-010515: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Efficiency Public Service Campaign CX(s) Applied: A9 Date: 06/14/2013 Location(s): New York Offices(s): Golden Field Office

  9. CX-007856: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sacramento Regional Energy Alliance CX(s) Applied: B5.23 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  10. CX-007858: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Southwest Solar Transformation Initiative CX(s) Applied: A9, A11 Date: 01/27/2012 Location(s): California Offices(s): Golden Field Office

  11. CX-008250: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Geotechnical Core Drilling for USGS 138 CX(s) Applied: B3.1 Date: 04/18/2012 Location(s): Idaho Offices(s): Nuclear Energy

  12. CX-012110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Cowlitz Falls Fish Facility Access Agreement Extension CX(s) Applied: A2 Date: 04/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  13. CX-009398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Domestic Source Recovery CX(s) Applied: B2.6 Date: 11/01/2012 Location(s): New Mexico Offices(s): Los Alamos Site Office

  14. CX-012705: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Materials and Fuels Complex (MFC)-703 Fire Alarm Replacement CX(s) Applied: B2.2Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

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

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

    Determination Transforming Photovoltaic Installations Toward Dispatchable, Schedulable Energy Solutions CX(s) Applied: B3.6, B5.15 Date: 10172013 Location(s): Oregon...

  16. CX-005950: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Determination Wisconsin Clean Transportation Partnership: Riteway Bus Services Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 06012011 Location(s): Oak Creek,...

  17. CX-006893: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Ohio Advanced Transportation PartnershipFrito Lay Columbus Propane Fueling Infrastructure CX(s) Applied: B5.1 Date: 09282011 Location(s): Columbus,...

  18. CX-008535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    King County Biogas and Nutrient Reduction CX(s) Applied: A9 Date: 05/22/2012 Location(s): Washington Offices(s): Golden Field Office

  19. CX-011110: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advancements in Algal Biomass Yield CX(s) Applied: A9 Date: 08/29/2013 Location(s): Hawaii Offices(s): Golden Field Office

  20. CX-010343: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bald Hill Farms Property Funding CX(s) Applied: B1.25 Date: 05/10/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  1. CX-011630: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    9831 Wall Construction Project CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  2. CX-012816: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rogue-Gold Beach Access Road Improvement CX(s) Applied: B1.3Date: 41890 Location(s): OregonOffices(s): Bonneville Power Administration

  3. CX-011177: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hebo Substation Access Road Maintenance CX(s) Applied: B1.3 Date: 09/13/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  4. CX-011184: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Salmon Creek Pond Property Funding CX(s) Applied: B1.25 Date: 08/29/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-008698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Poorman Ponds Property Funding CX(s) Applied: B1.25 Date: 06/12/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-009630: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ICP Routine Maintenance CX(s) Applied: B1.3 Date: 11/06/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  7. CX-009632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    INTEC – Suspect RH-TRU (AMWTP) CX(s) Applied: NO CX GIVEN Date: 11/23/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  8. CX-012722: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Test Reactor Area (TRA)-653 Conference Room Modifications CX(s) Applied: B1.15Date: 41829 Location(s): IdahoOffices(s): Nuclear Energy

  9. CX-011564: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Excess Facilities Deactivation and Demolition CX(s) Applied: B1.23 Date: 11/05/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  10. CX-009753: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Propane Corridor Development Program CX(s) Applied: B5.22 Date: 12/06/2012 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  11. CX-012482: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mid-Atlantic Regional Infrastructure Development Project CX(s) Applied: B5.22Date: 41862 Location(s): MarylandOffices(s): National Energy Technology Laboratory

  12. CX-012002: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Raver-Covington Conductor Replacement CX(s) Applied: B1.3 Date: 04/24/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  13. CX-010772: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Water Security Test Bed (WSTB) CX(s) Applied: B3.6 Date: 07/17/2013 Location(s): Idaho Offices(s): Nuclear Energy

  14. CX-100159 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed Rulemaking for Energy Conservation Standards for Commercial and Industrial Pumps RIN: 1904-AC54 CX(s) Applied: B5.1

  15. CX-100160 Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Proposed Rulemaking for Energy Conservation Standards for Residential Dehumidifiers RIN: 1904-AC81 CX(s) Applied: B5.1

  16. CX-012706: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiochemistry Laboratory (RCL) Supply Intake Filter Housing CX(s) Applied: B2.5Date: 41858 Location(s): IdahoOffices(s): Nuclear Energy

  17. CX-009295: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Regional Innovation Cluster CX(s) Applied: B3.6 Date: 09/05/2012 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  18. CX-003226: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    Exclusion Determination Parris Island Wind Resource Assessment; National Renewable Energy Laboratory Tracking Number 10-032 CX(s) Applied: A9, B3.1 Date: 08042010...

  19. CX-010258: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bangladesh Meteorological Instrumentation Installation CX(s) Applied: A9 Date: 04/26/2013 Location(s): Colorado Offices(s): Golden Field Office

  20. CX-008803: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Milling Machine Replacement Projects CX(s) Applied: B1.31 Date: 05/14/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  1. 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:...

  2. CX-010113: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Compression Stress Relaxometer CX(s) Applied: B3.6 Date: 03/28/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  3. CX-012434: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Low Cost Titanium Casting Technology CX(s) Applied: B3.6Date: 41878 Location(s): OhioOffices(s): National Energy Technology Laboratory

  4. CX-009587: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    City of Houston, Texas CX(s) Applied: B5.1 Date: 12/12/2012 Location(s): Texas Offices(s): Golden Field Office

  5. CX-010261: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nevada State Energy Program Formula CX(s) Applied: B5.16 Date: 04/26/2013 Location(s): Nevada Offices(s): Golden Field Office

  6. CX-009635: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    INTEC – U-233 Waste Stream Disposition CX(s) Applied: NO CX GIVEN Date: 12/15/2012 Location(s): Idaho Offices(s): Idaho Operations Office

  7. 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...

  8. CX-011625: Categorical Exclusion Determinationc

    Broader source: Energy.gov [DOE]

    9103 Second Floor Refurbishment CX(s) Applied: B1.3 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  9. CX-008609: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Vermont State Energy Program CX(s) Applied: A9, A11 Date: 07/03/2012 Location(s): Vermont Offices(s): Golden Field Office

  10. CX-012790: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Haystack Butte Radio Site Land Acquisition CX(s) Applied: B1.24Date: 41939 Location(s): WashingtonOffices(s): Bonneville Power Administration

  11. 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,...

  12. CX-012655: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Acquisition of Access Road Easements CX(s) Applied: B1.24Date: 41849 Location(s): WashingtonOffices(s): Bonneville Power Administration

  13. CX-012809: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140313 City of Vancouver Sewer Lateral CX(s) Applied: B4.9Date: 41906 Location(s): WashingtonOffices(s): Bonneville Power Administration

  14. CX-012651: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR20140464 - Spencer May - Fence Construction CX(s) Applied: B4.9Date: 41858 Location(s): WashingtonOffices(s): Bonneville Power Administration

  15. CX-012632: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140456 - Salmon Creek Avenue Pathway Project CX(s) Applied: B4.9Date: 41885 Location(s): WashingtonOffices(s): Bonneville Power Administration

  16. CX-012808: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140504 Ross Substation Comcast Fiber Installation CX(s) Applied: B4.9Date: 41906 Location(s): WashingtonOffices(s): Bonneville Power Administration

  17. CX-012637: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    LURR 20140521 - David King - Sewer Line Installation CX(s) Applied: B4.9Date: 41876 Location(s): OregonOffices(s): Bonneville Power Administration

  18. CX-010398: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration CX(s) Applied: B4.13 Date: 04/25/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  19. CX-010091: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Power Line Configuration 2013-1 CX(s) Applied: B4.13 Date: 04/15/2012 Location(s): Idaho Offices(s): Nuclear Energy

  20. CX-002194: Categorical Exclusion Determination | Department of...

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

    CX-002194: Categorical Exclusion Determination Install Demonstration Wind Turbine at Weldon Spring, Missouri, Site CX(s) Applied: B5.1 Date: 04282010 Location(s):...

  1. CX-012812: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chemawa-Salem #1 & #2 Access Road Maintenance CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration

  2. CX-012469: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Analysis Services CX(s) Applied: B3.6Date: 41876 Location(s): OregonOffices(s): National Energy Technology Laboratory

  3. CX-010656: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Stormwater Drainage Repair CX(s) Applied: B1.3 Date: 06/18/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  4. 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):...

  5. CX-005991: Categorical Exclusion Determination | Department of...

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

    CX-005991: Categorical Exclusion Determination Prairie Village, Kansas Ground Source Heat Pump Relocation CX(s) Applied: B5.1 Date: 05252011 Location(s): Prairie Village,...

  6. CX-012118: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydro Research Foundation University Research Awards - Tufts CX(s) Applied: A9 Date: 05/21/2014 Location(s): Georgia Offices(s): Golden Field Office

  7. CX-010437: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Rocky Ridge Radio Station Upgrade CX(s) Applied: B1.19 Date: 05/31/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  8. CX-011239: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Security Upgrades at Multiple Substations CX(s) Applied: ? Date: 10/02/2013 Location(s): Oregon, Washington Offices(s): Bonneville Power Administration

  9. CX-012474: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Refractories/Ceramics Project CX(s) Applied: B3.6Date: 41870 Location(s): OregonOffices(s): National Energy Technology Laboratory

  10. CX-007418: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sidewalks to School CX(s) Applied: B1.13 Date: 12/13/2011 Location(s): South Carolina Offices(s): Golden Field Office

  11. CX-006211: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Missouri Independent Energy Efficiency Program: Henniges Automotive - Process Air Compressor Upgrades CX(s) Applied: B5.1 Date: 07182011 Location(s):...

  12. CX-009423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Relay and Switchboard Panel Replacements CX(s) Applied: B4.6 Date: 10/29/2012 Location(s): Arkansas Offices(s): Southwestern Power Administration

  13. CX-012310: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sawmill Creek Stream Bank Erosion CX(s) Applied: B1.3 Date: 06/06/2014 Location(s): Illinois Offices(s): Argonne Site Office

  14. CX-009132: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Landfill Gas Utilization Plant CX(s) Applied: B5.21 Date: 08/02/2012 Location(s): New York Offices(s): Golden Field Office

  15. CX-012566: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Z-Area Fire Tank Painting CX(s) Applied: B1.3Date: 41865 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  16. CX-007893: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    SunShot Massachusetts CX(s) Applied: A9, A11 Date: 02/10/2012 Location(s): Massachusetts Offices(s): Golden Field Office

  17. CX-012463: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Reliable SOFC Systems CX(s) Applied: A9, B3.6Date: 41877 Location(s): ConnecticutOffices(s): National Energy Technology Laboratory

  18. CX-011626: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Line Yard Fence Project CX(s) Applied: B1.11 Date: 06/05/2013 Location(s): Tennessee Offices(s): Y-12 Site Office

  19. CX-010869: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nauticas Research Program CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Illinois Offices(s): Argonne Site Office

  20. CX-007407: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Floating Turbine CX(s) Applied: A9 Date: 12/07/2011 Location(s): Ohio Offices(s): Golden Field Office

  1. CX-010768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    ZIRCEX Nuclear Fuel Dissolution Testing CX(s) Applied: B3.6 Date: 08/12/2013 Location(s): Idaho Offices(s): Nuclear Energy

  2. CX-012810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    St. Johns-Keeler Minor Access Road Improvement CX(s) Applied: B1.3Date: 41901 Location(s): OregonOffices(s): Bonneville Power Administration

  3. CX-009513: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aquatic Invasive Mussels Monitoring CX(s) Applied: B3.1 Date: 10/15/2012 Location(s): CX: none Offices(s): Bonneville Power Administration

  4. CX-012658: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chief Joseph and Custer Substations Security Fence Replacement CX(s) Applied: B1.11Date: 41843 Location(s): WashingtonOffices(s): Bonneville Power Administration

  5. CX-007549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Harrisonville - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  6. CX-007550: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kearney - Waste Water Treatment Plant CX(s) Applied: B5.1 Date: 01/10/2012 Location(s): Missouri Offices(s): Golden Field Office

  7. CX-007417: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shift CX(s) Applied: B5.1 Date: 12/21/2011 Location(s): Pennsylvania Offices(s): Golden Field Office

  8. CX-010532: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Various Demolition Jobs CX(s) Applied: B1.23 Date: 06/07/2013 Location(s): Illinois Offices(s): Fermi Site Office

  9. CX-012796: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Big Eddy-Redmond #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41919 Location(s): OregonOffices(s): Bonneville Power Administration

  10. CX-012818: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    La Pine-Chiloquin Wood Pole Replacements CX(s) Applied: B1.3Date: 41887 Location(s): OregonOffices(s): Bonneville Power Administration

  11. CX-012813: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Redmond-Pilot Butte #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41893 Location(s): OregonOffices(s): Bonneville Power Administration

  12. CX-012799: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Malin-Hilltop Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration

  13. CX-012805: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Brasada-Harney #1 Wood Pole Replacements CX(s) Applied: B1.3Date: 41908 Location(s): OregonOffices(s): Bonneville Power Administration

  14. CX-012798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Davis Creek Tap Wood Pole Replacements CX(s) Applied: B1.3Date: 41915 Location(s): CaliforniaOffices(s): Bonneville Power Administration

  15. CX-009166: Categorical Exclusion Determination | Department of...

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

    Integration of Waste Heat Recovery, Waste-to-Energy Conversion, and Waste-to-Chemical Conversion with Industrial Gas and Chemical Manufacturing Processes CX(s) Applied:...

  16. CX-011534: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Grays River Confluence Property Funding CX(s) Applied: B1.25 Date: 11/08/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  17. 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.

  18. Academic Plan Faculty of Applied Science & Engineering

    E-Print Network [OSTI]

    Toronto, University of

    Academic Plan Faculty of Applied Science & Engineering University of Toronto 2011 to 2016 Approved by Faculty Council October 6, 2011 #12;Faculty of Applied Science & Engineering Academic Plan Table ........................................................................................... 13 Chapter 4: Educating Future Engineers

  19. Deep Vadose Zone Applied Field Research Initiative

    E-Print Network [OSTI]

    Deep Vadose Zone­ Applied Field Research Initiative Fiscal Year 2012 Annual Report #12;Prepared Tasks 25 References 25 Appendix: FY2012 Products for the Deep Vadose Zone­ Applied Field Research Initiative Contents #12;Message from the Deep Vadose Zone- Applied Field Research Initiative Project Manager

  20. Montana State University 1 Applied Mathematics

    E-Print Network [OSTI]

    Maxwell, Bruce D.

    Montana State University 1 Applied Mathematics Option M 171Q Calculus I 4 or M 181Q 348 Techniques of Applied Math I 3 M 349 Techniques of Applied Mathematics II 3 M 386R Software Applications in Mathematics 3 M 441 Numerical Linear Algebra & Optimization 3 M 442 Numerical Solution

  1. Journal of Computational and Applied Mathematics

    E-Print Network [OSTI]

    Bohner, Martin

    Journal of Computational and Applied Mathematics Most downloaded articles January - August 2004 1: a survey Journal of Computational and Applied Mathematics, 141 (2002) 1-26 2. M. Z. Liu, M. H. Song and Z([t])*1 Journal of Computational and Applied Mathematics, 166 (2004) 361-370 3. S. Kutluay, A. Esen and I

  2. Online Master of Science in Applied Psychology

    E-Print Network [OSTI]

    Zhou, Xianghong Jasmine

    Online Master of Science in Applied Psychology #12;Online Master of Science in Applied Psychology of psychology to today's changing business environment. On behalf of the University of Southern California, I Psychology online program. Here at USC, we recognize the importance of applying psychology in many areas

  3. Development of a neural network model to nowcast/forecast the coastal water level anomalies on the entrance to Galveston Bay, Texas 

    E-Print Network [OSTI]

    Nam, Young Joo

    2002-01-01

    observations for a total of 375 days during the winter season from 1998 to 2000 were used to quantify the relative importance of the remote and local forcing in Galveston Bay and Corpus Christi Bay, Texas. For both locations, the analysis showed that the water...

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

    E-Print Network [OSTI]

    Gilbes, Fernando

    Bio-Optical Variability in Mayaguez Bay during the Rainy Season Joel A. Quińones Rivera, ja23 by suspending particles in the water that affects light penetration. This is critical for the bio-optical from different stations collected with an bio-optical rosette along the Mayagüez Bay and considering

  5. User's guide for SAMMY: a computer model for multilevel r-matrix fits to neutron data using Bayes' equations

    SciTech Connect (OSTI)

    Larson, N. M.; Perey, F. G.

    1980-11-01

    A method is described for determining the parameters of a model from experimental data based upon the utilization of Bayes' theorem. This method has several advantages over the least-squares method as it is commonly used; one important advantage is that the assumptions under which the parameter values have been determined are more clearly evident than in many results based upon least squares. Bayes' method has been used to develop a computer code which can be utilized to analyze neutron cross-section data by means of the R-matrix theory. The required formulae from the R-matrix theory are presented, and the computer implementation of both Bayes' equations and R-matrix theory is described. Details about the computer code and compelte input/output information are given.

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

    SciTech Connect (OSTI)

    Vaught, Douglas J.

    2007-03-31

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

  7. Evaluating Tidal Marsh Sustainability in the Face of Sea-Level Rise: A Hybrid Modeling Approach Applied to San Francisco Bay

    E-Print Network [OSTI]

    Kelly, Maggi

    2011-01-01

    Jr. , DeLaune RD (1990) Subsidence, accretion, and sea levelaccretion, and subsidence in marshes of Barataria Basin,productivity [7], rates of subsidence or uplift [20],

  8. A side-by-side comparison of Daya Bay antineutrino detectors

    E-Print Network [OSTI]

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

    2012-02-28

    The Daya Bay Reactor Neutrino Experiment is designed to determine precisely the neutrino mixing angle $\\theta_{13}$ with a sensitivity better than 0.01 in the parameter sin$^22\\theta_{13}$ at the 90% confidence level. To achieve this goal, the collaboration will build eight functionally identical antineutrino detectors. The first two detectors have been constructed, installed and commissioned in Experimental Hall 1, with steady data-taking beginning September 23, 2011. A comparison of the data collected over the subsequent three months indicates that the detectors are functionally identical, and that detector-related systematic uncertainties exceed requirements.

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

    SciTech Connect (OSTI)

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

    2013-07-01

    Andreeva Bay is located near Murmansk in the Russian Federation close to the Norwegian border. The ex-naval site was used to de-fuel nuclear-powered submarines and icebreakers during the Cold War. Approximately 22,000 fuel assemblies remain in three Dry Storage Units (DSUs) which means that Andreeva Bay has one of the largest stockpiles of highly enriched spent nuclear fuel (SNF) in the world. The high contamination and deteriorating condition of the SNF canisters has made improvements to the management of the SNF a high priority for the international community for safety, security and environmental reasons. International Donors have, since 2002, provided support to projects at Andreeva concerned with improving the management of the SNF. This long-term programme of work has been coordinated between the International Donors and responsible bodies within the Russian Federation. Options for the safe and secure management of SNF at Andreeva Bay were considered in 2004 and developed by a number of Russian Institutes with international participation. This consisted of site investigations, surveys and studies to understand the technical challenges. A principal agreement was reached that the SNF would be removed from the site altogether and transported to Russia's reprocessing facility at Mayak in the Urals. The analytical studies provided the information necessary to develop the construction plan for the site. Following design and regulatory processes, stakeholders endorsed the technical solution in April 2007. This detailed the processes, facilities and equipment required to safely remove the SNF and identified other site services and support facilities required on the site. Implementation of this strategy is now well underway with the facilities in various states of construction. Physical works have been performed to address the most urgent tasks including weather protection over one of the DSUs, installation of shielding over the cells, provision of radiation protection infrastructure and general preparation of the site for construction of the facilities for the removal of the SNF. This paper describes the development and implementation of the strategy and work to improve the safe and secure management of SNF, preparing it for retrieval and removal from Andreeva Bay. (authors)

  10. Ann bay lodyans 10 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 10 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml Tl CHENN LO A Te gen yon nonm ki te...

  11. Ann bay lodyans 12 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 12 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml EPI BONDYE KREYE PREMYE FS A Nan...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 4 se Bryant Freeman (“Tonton Liben”) ki pare ti liv sa a 2000 by Bryant C. Freeman, ed. This work has been made available by the University of Kansas Libraries’ Office of Scholarly... Freeman (“Tonton Liben”) ki pare ti liv sa a. [Lawrence, Kan.] : Institute of Haitian Studies ; [Port-au-Prince] : Bon Nouvčl : Fondasyon Alfa Lwčs, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml Tl CHAT: PI PITI PI RED Vwala se te...

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

    SciTech Connect (OSTI)

    Chandler, K.; Eudy, L.

    2011-08-01

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

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...