Sample records for bay cxs applied

  1. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3Appliance andApplicationBerkeleyAppliedApply

  2. CX-006074: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006074: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic Manufacturing Initiative CX(s) Applied: A9 Date: 0628...

  3. CX-001636: Categorical Exclusion Determination | Department of...

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

    Determination CX-001636: Categorical Exclusion Determination Alexandria Bay, New York, Met Tower: General Services Administration Border Station CX(s) Applied: B3.1, A9...

  4. university-logo Bayes's theorem

    E-Print Network [OSTI]

    McCullagh, Peter

    university-logo Bayes's theorem Poisson processes Improper mixtures and Bayes's theorem Peter Mc McCullagh Improper mixtures #12;university-logo Bayes's theorem Poisson processes Outline 1 BayesCullagh Improper mixtures #12;university-logo Bayes's theorem Poisson processes Improper mixtures Bayes's theorem

  5. San Diego Bay Bibliography

    E-Print Network [OSTI]

    Brueggeman, Peter

    1994-01-01T23:59:59.000Z

    oil-fired steam-electric stations (South Bay, Silvergate, and Encina); their pH adjustment and clarification, sludge

  6. RICHMOND BAY CAMPUS RICHMOND BAY CAMPUS

    E-Print Network [OSTI]

    Lee, Jason R.

    will be excavated in advance of Phase 1 development. · Other soil contamination at the RFS to be managed CAMPUS #12;RICHMOND BAY CAMPUS #12;RICHMOND BAY CAMPUS Multi-Modal Access · Transportation Demand Management program would be in place prior to completion of first phase development, with priority

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

    SciTech Connect (OSTI)

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

    2012-06-01T23:59:59.000Z

    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.

  8. San Diego Bay Bibliography

    E-Print Network [OSTI]

    Brueggeman, Peter

    1994-01-01T23:59:59.000Z

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

  9. Nonlinear Wavelet Shrinkage With Bayes Rules and Bayes Brani Vidakovic

    E-Print Network [OSTI]

    West, Mike

    Nonlinear Wavelet Shrinkage With Bayes Rules and Bayes Factors Brani Vidakovic 1 #12; Brani, associate editor, and the two anonymous referees for insightful comments. 2 #12; Wavelet shrinkage of denoising data. Shrinking wavelet coefficients was proposed from several optimality criteria

  10. Chesapeake Bay Restoration Act (Maryland)

    Broader source: Energy.gov [DOE]

    This legislation sets limits on development near Chesapeake Bay as well as on dredging and the deposition of dredged material into the bay. The legislation establishes the Cox Creek Citizens...

  11. Cedar Bay overview

    SciTech Connect (OSTI)

    Garvey, J.F.

    1994-12-31T23:59:59.000Z

    The Cedar Bay Cogeneration Facility is located on the north side of Jacksonville, Florida adjacent to the Broward River and Eastport Road. The facility is co-located on a site with the Seminole Kraft Paper Mill. The facility is owned by Cedar Bay Generating Company (CBGC) Limited Partnership, managed by US Generating Company and Operated by US Operating Services Company. The engineering, procurement and construction (EPC) of the facility was contracted through Multipower Associates. Multipower is a joint venture comprised of Pyropower Corporation, National Power Development, Inc. (NPDI) and the Pritchard Corporation. Black & Veatch provided turnkey construction management services and the prime contractor was H.B. Zachry.

  12. Essays in Applied Economics

    E-Print Network [OSTI]

    Rider, Jessica Kristin

    2013-01-01T23:59:59.000Z

    GRAND RAPIDS GREEN BAY HARRISBURG/SCRANT HARTFORD HOUSTONGRAND RAPIDS GREEN BAY HARRISBURG/SCRANT HARTFORD HOUSTON

  13. CX-012000: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Hatwai Substation Bay 4 Equipment Acquisition CX(s) Applied: B1.24 Date: 04/22/2014 Location(s): Idaho Offices(s): Bonneville Power Administration

  14. CX-000599: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Flathead Substation Bay Addition - L0307CX(s) Applied: B4.6Date: 01/13/2010Location(s): Flathead County, MontanaOffice(s): Bonneville Power Administration

  15. CX-003416: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003416: Categorical Exclusion Determination Biomass Fuel Pellets CX(s) Applied: B2.5, B5.1 Date: 08162010 Location(s): Green Bay, Wisconsin...

  16. CX-009558: Categorical Exclusion Determination | Department of...

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

    Determination CX-009558: Categorical Exclusion Determination PMVI Bay Area Photovoltaic Consortium CX(s) Applied: A9, B3.15, B3.6 Date: 12042012 Location(s): California...

  17. Chesapeake Bay Preservation Programs (Multiple States)

    Broader source: Energy.gov [DOE]

    The Chesapeake Bay Program is a unique regional partnership that has led and directed the restoration of the Chesapeake Bay since 1983. The Chesapeake Bay Program partners include the states of...

  18. Field's Point Wastewater Treatment Facility (Narragansett Bay...

    Open Energy Info (EERE)

    Field's Point Wastewater Treatment Facility (Narragansett Bay Commission) Jump to: navigation, search Name Field's Point Wastewater Treatment Facility (Narragansett Bay Commission)...

  19. Richmond Bay Campus: Project Update

    E-Print Network [OSTI]

    Lee, Jason R.

    Coordinate with City of Richmond South Shoreline Area planning #12;Richmond Bay Campus Vision A stateRichmond Bay Campus: Project Update Prepared for the Richmond City Council October 1, 2013 #12 and UCB City of Richmond Updates Summary Questions & Answers #12;LBNL Project Update #12;University

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

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01T23:59:59.000Z

    food on Humboldt Bay mudflat. M.S. thesis, Humboldt Statecould be applied to mudflat or high marsh communities. TheSlough. Note the higher mudflat bars on the north side of

  1. Land Cover, Land Use of twoLand Cover, Land Use of two bioluminescent bays in Puerto Ricobioluminescent bays in Puerto Ricobioluminescent bays in Puerto Ricobioluminescent bays in Puerto Rico

    E-Print Network [OSTI]

    Gilbes, Fernando

    Bay inin ViequesVieques andandLandLand aroundaround PuertoPuerto MosquitoMosquito BayBay inin ViequesVieques andand LaLa PargueraParguera BioluminescenceBioluminescence BayBay inin Lajas,Lajas, PuertoPuerto RicoBioluminescent BayBay hashas shownshown aa decreasedecrease inin itsits bioluminescencebioluminescence byby

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

    E-Print Network [OSTI]

    Patch, Mary Catherine

    2005-08-29T23:59:59.000Z

    acoustic return of the bay bottom, and 2) strong, shallow reflectors??surface strong, mounds, buried strong, andburied multiples, which describe strong acoustic returns in the upper 5 m of stratigraphy. Within the lower package, four categories were...

  3. Meta learning of bounds on the Bayes classifier error

    E-Print Network [OSTI]

    Moon, Kevin R; Hero, Alfred O

    2015-01-01T23:59:59.000Z

    Meta learning uses information from base learners (e.g. classifiers or estimators) as well as information about the learning problem to improve upon the performance of a single base learner. For example, the Bayes error rate of a given feature space, if known, can be used to aid in choosing a classifier, as well as in feature selection and model selection for the base classifiers and the meta classifier. Recent work in the field of f-divergence functional estimation has led to the development of simple and rapidly converging estimators that can be used to estimate various bounds on the Bayes error. We estimate multiple bounds on the Bayes error using an estimator that applies meta learning to slowly converging plug-in estimators to obtain the parametric convergence rate. We compare the estimated bounds empirically on simulated data and then estimate the tighter bounds on features extracted from an image patch analysis of sunspot continuum and magnetogram images.

  4. Marcus Hutter -1 -Online Prediction Bayes versus Experts Online Prediction

    E-Print Network [OSTI]

    Hutter, Marcus

    Marcus Hutter - 1 - Online Prediction Bayes versus Experts Online Prediction: Bayes versus;Marcus Hutter - 2 - Online Prediction Bayes versus Experts Table of Contents Sequential/online prediction: Setup Bayesian Sequence Prediction (Bayes) Prediction with Expert Advice (PEA) PEA Bounds

  5. Jamaica Bay New York's Conflicted Backyard

    E-Print Network [OSTI]

    Columbia University

    Jamaica Bay New York's Conflicted Backyard Kevin Olsen Drew Symposium October 2008 #12;Why Study Jamaica Bay's History? Jamaica Bay has served many uses for the people of New York. At one time or another shoals, mudflats, sand bars, open water (littoral zone), intertidal zones (low and high marshes

  6. Empirical Bayes Estimation of Reliability

    E-Print Network [OSTI]

    Pensky, Marianna

    types of equipment relies on statistical inference about char- acteristics of reliabilityEmpirical Bayes Estimation of Reliability Introduction Assessment of the reliability of various such as reliability function, mean lifetime of the devices, or failure rate. Gen- eral techniques of statistical

  7. CX-007075: Categorical Exclusion Determination | Department of...

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

    Bay CX(s) Applied: A1, A9, A11, B1.32, B2.5, B5.1 Date: 09272011 Location(s): Green Bay, Wisconsin Office(s): Energy Efficiency and Renewable Energy, Savannah River...

  8. MODELING THE FATE AND TRANSPORT OF ATRAZINE IN THE UPPER CHESAPEAKE BAY

    E-Print Network [OSTI]

    Frei, Allan

    for agrochemicals in the Upper Chesapeake Bay. Keywords: Chesapeake Bay, hydrodynamic model, atrazine, photolysis

  9. Background Bayes Factor Simulation Study BF And PPP Using Bayes Factors for Model Selection in

    E-Print Network [OSTI]

    Wolfe, Patrick J.

    Background Bayes Factor Simulation Study BF And PPP Using Bayes Factors for Model Selection in High Study BF And PPP Model Comparison in Astrophysics Nested models (line detection in spectral analysis" to formally compare or select a model. #12;Background Bayes Factor Simulation Study BF And PPP Spectral

  10. Recent Results From The Daya Bay Experiment

    E-Print Network [OSTI]

    Chao Zhang; for the Daya Bay Collaboration

    2015-01-20T23:59:59.000Z

    The Daya Bay reactor neutrino experiment has observed the disappearance of electron antineutrinos from nuclear reactors at $\\sim$kilometer baselines. The relative measurement of the $\\bar\

  11. Recent Results From The Daya Bay Experiment

    E-Print Network [OSTI]

    Zhang, Chao

    2015-01-01T23:59:59.000Z

    The Daya Bay reactor neutrino experiment has observed the disappearance of electron antineutrinos from nuclear reactors at $\\sim$kilometer baselines. The relative measurement of the $\\bar\

  12. Recent Sediments of Monterey Bay, California

    E-Print Network [OSTI]

    Yancey, T. E.

    1968-01-01T23:59:59.000Z

    metamorphic ciscan in the Salinas basin. The Salinian whichstations, The Salinas Salinas Basin all water basin canof the Salinas Valley Range, drainage and basin. N BAY SCALE

  13. altona bay st: Topics by E-print Network

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

    stochastic planning. 1 Introduction Dekhtyar, Alexander 83 BAY AREA PARK RELATIONAL CREEK Computer Technologies and Information Sciences Websites Summary: BAY AREA PARK CODD...

  14. admiralty bay antarctica: Topics by E-print Network

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

    E. Distefano; S. Messina; G. Cutispoto 2008-07-18 103 BAY AREA PARK RELATIONAL CREEK Computer Technologies and Information Sciences Websites Summary: BAY AREA PARK CODD...

  15. apalachicola bay usa: Topics by E-print Network

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

    of 192 NAME: Habitat Restoration in Kaneohe Bay, Hawaii LOCATION: Kaneohe Bay, County of Honolulu, Hawaii Engineering Websites Summary: ACRES: 13 acres coral reef...

  16. ariake bay japan: Topics by E-print Network

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

    Bay: Episodic growth of the Laurentian mantle keel Geosciences Websites Summary: Seismic imaging of the lithosphere beneath Hudson Bay: Episodic growth of the Laurentian...

  17. Bay Bridge Lights Presentation prepared by Zoon Engineering

    Energy Savers [EERE]

    2015 BAY BRIDGE LIGHTS Presentation prepared by Zoon Engineering Presentation Outline Lighting of the New East Span of the Bay Bridge Brief Over view Lighting Facts ...

  18. ARRA Proposed Award: Retrofit Bay Area

    E-Print Network [OSTI]

    ARRA Proposed Award: Retrofit Bay Area Counties of Alameda, Contra Costa, Marin, San Francisco per year Prime contractor: Association of Bay Area Governments (ABAG) Sub contractors: Alameda County Waste Management Authority (StopWaste.org) County of Contra Costa County of Marin City

  19. Low Oxygen Environments in Chesapeake Bay

    E-Print Network [OSTI]

    Boynton, Walter R.

    Low Oxygen Environments in Chesapeake Bay Jeremy Testa Chesapeake Biological Laboratory University of Maryland Center for Environmental Science Why we care about low oxygen? What causes low oxygen? Where and When does Chesapeake Bay lose oxygen? #12;#12;Hypoxia and Chesapeake Animals Low dissolved oxygen

  20. New and Underutilized Technology: High Bay LED Lighting

    Broader source: Energy.gov [DOE]

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

  1. A study of the Galveston Bay bait-shrimp fishery

    E-Print Network [OSTI]

    Lamkin, John Tillman

    1984-01-01T23:59:59.000Z

    :1 with a yearly average of 4:1. Watts and pellegrin (1982) working off Texas and Louisiana reported ratios ranging from 3. 8:1 (& 10 fm) and 13. 9:1 (0-10 fm) in 1981 to 1. 7:1 and 4. 6:1, respectively, in 1982. Composition of the incidental catch... AREA Offatts Bayou West Bay Offatts Bayou West Bay Offatts Bayou West Bay Offatts Bayou West Bay % OF TOWS 26 74 50 50 7 93 6 94 November 1981 Lower Galveston Bay 28 West Bay 72 December 1981 Lower Galveston Bay 100 May 1982 June...

  2. Bayes, Asymptotics, Simulation and the Bootstrap

    E-Print Network [OSTI]

    Fletcher, David

    Bayes, Asymptotics, Simulation and the Bootstrap David Fletcher Department of Mathematics Bootstrapping and Bayesian Methods #12;Bayesian Methods and Asymptotics Bayesian methods Conceptually simple for lognormal cases Insight: studentized bootstrap better than percentile Simulations useful for checking actual

  3. Introduction The bay scallop, Argopecten irradi-

    E-Print Network [OSTI]

    71(3) 17 Introduction The bay scallop, Argopecten irradi- ans amplicostatus, has been present (Garcia-Cubas, 1968). Historical Uses Mollusks were used by the pre-Co- lumbian cultures in Mexico as food

  4. CX-008582: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008582: Categorical Exclusion Determination Bay Area Photovoltaics Consortium, Photovoltaic (PV) Manufacturing Initiative - Core Subawards CX(s)...

  5. IMPACTS OF CLIMATE CHANGE ON SAN FRANCISCO BAY AREA

    E-Print Network [OSTI]

    IMPACTS OF CLIMATE CHANGE ON SAN FRANCISCO BAY AREA RESIDENTIAL ELECTRICITY CONSUMPTION anthropogenic climate change on residential electricity consumption for the nine San Francisco Bay Area counties with different meant temperatures on households' electricity consumption. The estimation uses a comprehensive

  6. Development of Parameterized Surge Response Functions for Coastal Bays

    E-Print Network [OSTI]

    Katyal, Rajat

    2011-02-22T23:59:59.000Z

    ). The surge inside bays tends to be different from that at the open coast due to local geometric factors like shape, center of gravity, and characteristic size of the bay. To predict accurately the surge levels inside the bay, scaling laws are developed based...

  7. Sedimentary parameters of upper Barataria Bay, Louisiana

    E-Print Network [OSTI]

    Siegert, Rudolf B

    1961-01-01T23:59:59.000Z

    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...

  8. A geologic study of Matagorda Bay, Texas

    E-Print Network [OSTI]

    Fagg, David Bruce

    1957-01-01T23:59:59.000Z

    3ecent-I'leistoccnc contact $9 33 Piston Core 33 snoN. inI. - iiecent-Pleistocene contact-- 91 34 I'iston Core 3r3 s&ro&r &ng Hecerrt-Pleistocene contaci. -- 92 35 "Sand Silt Clay 3(atro 1'rian3. "les"- ? -107 Plate 1 Matai, "o& da Hay... 5 The Eunice formation alon the west shore of Matagorda Bay north of LaSalle Bayou----------- 29 6 Eunice sands overlying Eunice clayey silts on the west shore of hiatagorda Bay north of LaSalle Bayou 29 7 Eunice sand overlying Eunice clayey...

  9. Chesapeake Bay anoxia: origin, development, and significance

    SciTech Connect (OSTI)

    Officer, C.B.; Biggs, R.B.; Taft, J.L.; Cronin, L.E.; Tyler, M.A.; Boynton, W.R.

    1984-01-06T23:59:59.000Z

    Anoxia occurs annually in deeper waters of the central portion of the Chesapeake Bay and presently extends from Baltimore to the mouth of the Potomac estuary. This condition, which encompasses some 5 billion cubic meters of water and lasts from May to September, is the result of increased stratification of the water column in early spring, with consequent curtailment of reoxygenation of the bottom waters across the halocline, and benthic decay of organic detritus accumulated from plankton blooms of the previous summer and fall. The Chesapeake Bay anoxia appears to have had significant ecological effects on many marine species, including several of economic importance. 43 references, 7 figures, 1 table.

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy ResourcesBayWa Group Jump to:

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

    E-Print Network [OSTI]

    Maddox, Donald Shea

    2007-04-25T23:59:59.000Z

    based on changes in amplitude and stratigraphy. Parallel, layered sediments are seen filling the bay valley and resting atop a sharp contact at which the acoustic signal fades out. Along the flanks of the valley fill the acoustic response revealed...

  12. CX-008378: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Archer 230 Kilovolt Bay Addition for New Point of Delivery - Stage 07 CX(s) Applied: B4.6 Date: 03/08/2012 Location(s): CX: none Offices(s): Western Area Power Administration-Rocky Mountain Region

  13. Fuzzy decision and control, the Bayes context

    E-Print Network [OSTI]

    Painter, John H.

    1993-12-15T23:59:59.000Z

    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...

  14. Carolina bays of the Savannah River Plant

    SciTech Connect (OSTI)

    Schalles, J.F. (Creighton Univ., Omaha, NE (USA)); Sharitz, R.R.; Gibbons, J.W.; Leversee, G.J.; Knox, J.N. (Savannah River Ecology Lab., Aiken, SC (USA))

    1989-01-01T23:59:59.000Z

    Much of the research to date on the Carolina bays of the Savannah River Plant and elsewhere has focused on certain species or on environmental features. Different levels of detail exist for different groups of organisms and reflect the diverse interests of previous investigators. This report summarizes aspects of research to date and presents data from numerous studies. 70 refs., 14 figs., 12 tabs.

  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. Bayes Nets Representation: joint distribution and conditional

    E-Print Network [OSTI]

    Mitchell, Tom

    Bayes Nets Representation: joint distribution and conditional independence Yi Zhang 10-701, Machine joint distribution of BNs Infer C. I. from factored joint distributions D-separation (motivation) 2 structure All about the joint distribution of variables ! Conditional independence assumptions are useful

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

    SciTech Connect (OSTI)

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

    2013-08-01T23:59:59.000Z

    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.

  18. Mercury bioaccumulation in Lavaca Bay, Texas

    E-Print Network [OSTI]

    Palmer, Sally Jo

    1992-01-01T23:59:59.000Z

    (waves), and human activities (dredging and shrimping) can potentially release mercury to the overlying water (LINDBERG and HARRISS, 1977; CRANSTON, 1976). The solubility, reactivity, and toxicity of mercury is dependent on its form. Divalent mercury... MERCURY BIOACCUMULATION IN LAVACA BAY, TEXAS A Thesis by SALLY JO PALMER Submitted to the Office of Graduate Studies of Texas ABM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE August 1992 Major...

  19. Petroleum hydrocarbon-degrading bacteria in the Galveston Bay system

    E-Print Network [OSTI]

    Schropp, Steven James

    1979-01-01T23:59:59.000Z

    of Department) (Membge' ) I, (Member) December, 1979 ABSTRACT Petroleum Hydrocarbon-Degrading Bacteria in the Galveston Bay System {December 1979) Steven James Schropp: B. S. , Texas A&M University Co-Chairmen of Advisory Committee: Dr. John R. Schwarz... about the distribution and abundance of petroleum hydrocarbon-degrad- ing bacteria in the Galveston Bay system. Several parts of the Galveston Bay system were sampled during this study. Petroleum input to the study area ranged from relatively small...

  20. Wind-wave measurements in a shallow estuary: Trinity Bay, Texas

    E-Print Network [OSTI]

    Dupuis, Keith Wade

    2009-05-15T23:59:59.000Z

    Acoustic current meter data collected in the shallow ( 3m depth) Trinity Bay, (TB a sub-bay in Galveston Bay), TX, estuary were used to characterize locally generated windwaves. Significant wave heights, periods, and directions were estimated from...

  1. Appendix B. Selected Web Pages Related to MHB 1. NARRAGANSETT BAY PORTS DATA: (CONDUCTIVITY, SALINITY,

    E-Print Network [OSTI]

    Chen, Changsheng

    Power Plant Canal Station Power Plant Mystic Power Plant http://www.pirg.org/masspirg/enviro of Narragansett Bay fish and fisheries, a survey of sediment pollution in Narragansett Bay, a study of Bay

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

    E-Print Network [OSTI]

    Furnans, Jordan

    2004-01-01T23:59:59.000Z

    bathymetry grid to produce the result of the first step. The second step is to alter the channel grid so that the channel cells contain their respective depth values, and all other cells contain the value 0. This is achieved through linear manipulations... the forcing conditions apply. This location of grid cells procedure is also made easier through the use of GIS software, and the methodology for doing so is similar to the methodology for adding the ship channel to the bathymetry. Part 2 Linking GIS...

  3. arcachon bay france: Topics by E-print Network

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

    Bay Area Environmental Sciences and Ecology Websites Summary: Soulejule Stevens Creek TotalMercury(ppmwetweight) Mercury Concentrations in Channel Catfish 12;0.00 0.50...

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Schlosser, Susan

    2009-01-01T23:59:59.000Z

    annual maintenance dredging (2007-2011). NMFS, Southwestdevelopment, diking, and dredging. The Bay and itsor is directly removed by dredging. Watersheds adjacent to

  6. Modeling nitrogen cycling in forested watersheds of Chesapeake Bay

    SciTech Connect (OSTI)

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

    1995-03-01T23:59:59.000Z

    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.

  7. Mercury-Contaminated Hydraulic Mining Debris in San Francisco Bay

    E-Print Network [OSTI]

    Bouse, Robin M; Fuller, Christopher C; Luoma, Sam; Hornberger, Michelle I; Jaffe, Bruce E; Smith, Richard E

    2010-01-01T23:59:59.000Z

    Contaminated Hydraulic Mining Debris in San Francisco BayAbstract The hydraulic gold-mining process used during thecreated by hydraulic gold mining in the Sierra Nevada,

  8. astrophyllite bay complex: Topics by E-print Network

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

    to N qubits. Finally, we show that quantum state estimates derived via the principle of maximum entropy are fundamentally different from those obtained via the quantum Bayes...

  9. activator bay k8644: Topics by E-print Network

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

    to N qubits. Finally, we show that quantum state estimates derived via the principle of maximum entropy are fundamentally different from those obtained via the quantum Bayes...

  10. Effects and impacts of vessel activity on the Kittlitz's Murrelet (Brachyramphus brevirostris) in Glacier Bay, Alaska

    E-Print Network [OSTI]

    Washington at Seattle, University of

    ) in Glacier Bay, Alaska Alison M. Agness A thesis submitted in partial fulfillment of the requirements (Brachyramphus brevirostris) in Glacier Bay, Alaska.....35 Summary

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

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

    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...

  12. Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?

    E-Print Network [OSTI]

    Sugiyama, Masashi

    Bayes? Shinichi Nakajima Masashi Sugiyama Nikon Corporation Tokyo Institute of Technology Abstract Bayesian scenario, where the hyperpa- rameters are also estimated from observation, are trivial and useless, although the global solutions of empirical PB and empirical MAP are useless, the local solutions behave

  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.

    2013-09-01T23:59:59.000Z

    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 mechanisticempirical 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. San Francisco Bay Map Collection / Neal Harlow (collector)

    E-Print Network [OSTI]

    Handy, Todd C.

    San Francisco Bay Map Collection / Neal Harlow (collector) Last revised October 2011 University / Physical Description o Collector's Biographical Sketch o Scope and Content o Notes Catalogue entry (UBC Library catalogue) #12;Collection Description San Francisco Bay Map Collection / Neal Harlow (collector

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

    E-Print Network [OSTI]

    Guannel, Gregory

    2001-01-01T23:59:59.000Z

    Lcvcl Subtidal Variability. Water Level: Contour Plots, . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Water Level: E/W and N/S Wind Stress. Water Level: SP and SN Wind Stress. . . . . . . . . . . . , . . . . . . . Water Level...: Conclusions. Response of Galveston Bay to Forcing: Water Surface Setup Subtidal Variability. Water Surlace Setup: Contour Plots Water Surl ace Setup: SP and SN Wind Stress. . . . . . . . . Water Surface Setup: Conclusions Response of Galveston Bay...

  16. MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on

    E-Print Network [OSTI]

    MFR PAPER 1074 Effects of Prudhoe Bay Crude Oil on Molting Tanner Crabs, Chionoecetes bairdi JOHN F bairdi , from Alaska walers were exposed 10 Prudhoe Bay crude oil in sIalic bioassays ill Ih e laboralory. Crabs in bOlh slages were similarly susceplible 10 crude oil; Ihe eSlimaled 48-hour TLIIl (Illedian

  17. Glacier Bay Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd toWell2008) |GigaCrete Inc JumpGillardGinerBay

  18. Clean Cities: Tampa Bay Clean Cities coalition

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z CPlasma0 12DenverNorthernSouthTampa Bay Clean Cities

  19. Tuscola Bay Wind | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTri Global Energy LLC Place: Dallas, Texas2022Wind Farm Jump to:Tuscola Bay

  20. Massachusetts Bay Transportation Authority | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLu an Group JumpNewMassachusetts Bay Transportation Authority Jump

  1. Chesapeake Bay Test Site | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CER es unaChelmsford,Volcanic NationalValleyBay Test

  2. Bay Solar Power Design | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in Carbon CaptureAtriaPower SystemsRhode Island:BatteryBatticBay

  3. 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

    2012-12-30T23:59:59.000Z

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

  4. Subenvironments of deposition in San Antonio Bay, Texas

    E-Print Network [OSTI]

    Hall, Gary Lynn

    1973-01-01T23:59:59.000Z

    with the Muddy Sandstone at Bell Creek Field, Montana. CONCLUSIONS. REFERENCES CITED VITA 107 108 108 ill 117 117 121 122 123 124 124 126 128 128 128 132 135 138 142 LIST OF TABLES TABLE 1 Mineralogical Composition of Montmori lloni tie.... The usual source of high salinity water enters from the Gulf of Mexico through Pass Cavallo and mixes with Matagorda Bay waters. This water passes westward through Espiritu Santo Bay into San Antonio Bay, where it appears to turn and move northwestward...

  5. admiralty bay king: Topics by E-print Network

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

    influence May Point, a distance of 2O,miles, the crabs are sought at Ewing Neck, West Creek, East Creek 123 Nonparametric Bayes Applications to Biostatistics David B. Dunson...

  6. BayesDB : querying the probable implications of tabular data

    E-Print Network [OSTI]

    Baxter, Jay

    2014-01-01T23:59:59.000Z

    BayesDB, a Bayesian database table, lets users query the probable implications of their tabular data as easily as an SQL database lets them query the data itself. Using the built-in Bayesian Query Language (BQL), users ...

  7. atlantic lisbon bay: Topics by E-print Network

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

    guests of the Hudsons Bay Company, and on the second of the Royal Canadian Mounted Police. In addition the Royal Canadian Air Force kindly flew us to several areas well away...

  8. WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM

    E-Print Network [OSTI]

    Chu, Peter C.

    WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM PETER C. CHU, PATRICE PAULY Naval Can easily reach 20 m/s and more during hurricane events #12;Water Quality Management and Analysis

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

    E-Print Network [OSTI]

    Crotwell, Patricia Lynn

    1997-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Crotwell, Patricia Lynn

    1997-01-01T23:59:59.000Z

    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. Investigation of tidal power, cobscook bay, maine. Reconnaissance report

    SciTech Connect (OSTI)

    Not Available

    1980-08-01T23:59:59.000Z

    Cobscook Bay is located in Eastern, Maine, near Eastport. The bay experiences an average tide range of 18 feet and has a surface area of about 40 square miles at high tide. Single pool, single effect projects have been analyzed. Two projects, one having an installed capacity of 165 Mw and the other, 195 Mw were found to be economically feasible when forecasted, fuel escalation costs were considered.

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

    E-Print Network [OSTI]

    Mahendran, Christopher Kandiah

    1999-01-01T23:59:59.000Z

    FISH ASSEMBLAGES ON CORAL REEFS IN GUANAJA, BAY ISLANDS, HONDURAS A Thesis by CHRISTOPHER KANDIAH MAHENDRAN 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 1999 Major Subject: Wildlife and Fisheries Sciences FISH ASSEMBLAGES ON CORAL REEFS IN GUANAJA, BAY ISLANDS, HONDURAS A Thesis by CHRISTOPHER KANDIAH MAHENDRAN Submitted to Texas A&M University in partial fulfillment...

  13. Petroleum hydrocarbon-degrading bacteria in the Galveston Bay system

    E-Print Network [OSTI]

    Schropp, Steven James

    1979-01-01T23:59:59.000Z

    PETROLEUM HYDRQCARBOiV-DEGRADING BACTERIA IN THE GALVESTON BAY SYSTEM A Thesis by STEVEN JAMES SCHROPP Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIFNCE... December 1979 Major Subject: Biology PETROLEUM HYDROCARBON-DEGRADING BACTERIA IN THE GALVESTON BAY SYSTEM A Thesis by STEVEN JAMES SCHROPP Approved as to style and content by: (Co-Chairman of Committee) '( ~CA. ( -Chairman of Committee) (Head...

  14. Quantification of sediment bed - water column exchange processes in the South San Francisco Bay estuary

    E-Print Network [OSTI]

    Gladding, Steven Michael

    2011-01-01T23:59:59.000Z

    Hydraulic Mining 1.2.2. Dredging 1.2.3. Contaminants 1.2.4.of the sediment bed of the Bay (see Section Dredging Largescale dredging operations have occurred in the Bay for more

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

    Energy Savers [EERE]

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

  16. The Daya Bay Nuclear Plant Project in the Light of International Environmental Law

    E-Print Network [OSTI]

    Mushkat, Roda

    1990-01-01T23:59:59.000Z

    result from locating a nuclear plant so close to the Hongat 1292 (1975). THE DA YA BAY NUCLEAR PLANT PROJECT national1986) (H.K. ). THE DA YA BAY NUCLEAR PLANT PROJECT IV. THE "

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

    E-Print Network [OSTI]

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

    2012-05-17T23:59:59.000Z

    The Copano Bay watershed covers approximately 1.4 million acres encompassing portions of Karnes, Bee, Goliad, Refugio, San Patricio and Aransas counties. Copano Bay and its main tributaries, the Mission and Aransas rivers, were placed on the Texas...

  18. Text classification Naive Bayes NB theory Evaluation of TC Web Search and Text Mining

    E-Print Network [OSTI]

    Gray, Alexander

    Bayes NB theory Evaluation of TC Take-away today Text classification: definition & relevance theory Evaluation of TC Take-away today Text classification: definition & relevance to information: definition & relevance to information retrieval Naive Bayes: simple baseline text classifier Theory

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

    E-Print Network [OSTI]

    Barnard, Patrick; Kvitek, Rikk

    2010-01-01T23:59:59.000Z

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

  20. Onsite data processing and monitoring for the Daya Bay Experiment

    E-Print Network [OSTI]

    Ying-Biao Liu; Miao He; Bei-Jiang Liu; Meng Wang; Qiu-Mei Ma; Fa-Zhi Qi; Shan Zeng

    2014-06-09T23:59:59.000Z

    The Daya Bay Reactor Neutrino Experiment started running on September 23, 2011. The offline computing environment, consisting of 11 servers at Daya Bay, was built to process onsite data. With current computing ability, onsite data processing is running smoothly. The Performance Quality Monitoring system (PQM) has been developed to monitor the detector performance and data quality. Its main feature is the ability to efficiently process multi-data-stream from three experimental halls. The PQM processes raw data files from the Daya Bay data acquisition system, generates and publishes histograms via a graphical web interface by executing the user-defined algorithm modules, and saves the histograms for permanent storage. The fact that the whole process takes only around 40 minutes makes it valuable for the shift crew to monitor the running status of all the sub-detectors and the data quality.

  1. Heavy metal concentration in bay sediments of Japan

    SciTech Connect (OSTI)

    Fukue, Masaharu; Kato, Yoshihisa; Nakamura, Takaaki [Tokai Univ., Shimizu (Japan); Yamasaki, Shoichi [Aoki Marine Ltd., Fukushima, Osaka (Japan)

    1995-12-31T23:59:59.000Z

    Because industry discharge wastes into the sea, marine sediments can be contaminated with various kinds of hazardous and toxic substances. This study discusses how the degree of pollution of heavy metals affects the marine sediments from Osaka Bay and Tokyo Bay. In this study, the concentrations of various metals, such as manganese, iron, aluminum, titanium, vanadium, copper, phosphorus, etc., were measured from sediment samples obtained from different sites in the bays. However, the results had to be corrected because background concentrations for each metal differ with site location and grain size characteristics. The large difference between background and individual concentrations at various soil depths indicates that the surface layers of the seabed are significantly polluted with some species of heavy metal and other elements.

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

    SciTech Connect (OSTI)

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

    2004-08-01T23:59:59.000Z

    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.

  3. A Transect of Glacier Bay Ocean Currents Measured by Acoustic Doppler Current Profiler (ADCP)

    E-Print Network [OSTI]

    that the tidal flow accelerates over Glacier Bay's shallow entrance sill to speeds of 180 cm/s and then slowsA Transect of Glacier Bay Ocean Currents Measured by Acoustic Doppler Current Profiler (ADCP shipboard acoustic Doppler current profiler (ADCP) transects of ocean current in Glacier Bay and Muir Inlet

  4. REPRODUCTIVE CYCLE OF THE SOFT-SHELL CLAM, MYA ARENARIA, AT SKAGIT BAY, WASHINGTON

    E-Print Network [OSTI]

    'll Skagit Bay in northern Puget Sound. Wash. Spawning occurred from late May to early September in both 1971 the annual reproductive cycle for a soft-shell clam population from Puget Sound, Wash. Skagit Bay-shell clams in Puget Sound. DESCRIPTION OF AREA Skagit Bay, Wash., is located in northern Puget Sound 60 miles

  5. Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed

    E-Print Network [OSTI]

    Exploring the Environmental Effects of Shale Gas Development in the Chesapeake Bay Watershed STAC Committee). 2013. Exploring the environmental effects of shale gas development in the Chesapeake Bay of shale gas development in the Chesapeake Bay Watershed. The purpose of this workshop was to engage

  6. A Baseline Assessment of the Ecological Resources of Jobos Bay, Puerto Rico

    E-Print Network [OSTI]

    A Baseline Assessment of the Ecological Resources of Jobos Bay, Puerto Rico July 2011 Editors David. A Baseline Assessment of the Ecological Resources of Jobos Bay, Puerto Rico. NOAA Technical Memorandum NOS of the Ecological Resources of Jobos Bay, Puerto Rico Prepared by the Coastal and Oceanographic Assessment, Status

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

    E-Print Network [OSTI]

    Boslet, Jane Murray

    1989-01-01T23:59:59.000Z

    studies h d t d ~ Md t h h ' d t' t from M. mercenaria (Bert 1986, Williams and Felder 1986) Due to this new systematic status, historical data based on M. mercenaria, most of which come from Florida, may not be applicable to characterize the natural..., and Melager Coves, Mid West Bay, Jones Bay, West Bay east of Anderson Ways, and south of the I ? 45 Causeway. Non-reef/channel sampling sites in West Bay included randomly selected areas representative of the remainder of the bay. Harsh/mudflat areas...

  8. Short-term variability of suspended sediment and phytoplankton in Tampa Bay, Florida: Observations from a coastal oceanographic tower

    E-Print Network [OSTI]

    Meyers, Steven D.

    dynamics in Tampa Bay with data collected between 8 December 2004 and 17 January 2005 from optical of reliable and cost-effective means for high-frequency sampling (e.g., Roegner et al., 2002). As a result, with a dredged channel (>10 m) extending from the mouth of the bay to the upper bay. Tampa Bay is often divided

  9. Sensitivity analysis of three-dimensional salinity simulations in North San Francisco Bay using the unstructured-grid SUNTANS model

    E-Print Network [OSTI]

    Fringer, Oliver B.

    and the confluence of the SacramentoSan Joaquin Rivers and comprises San Pablo Bay, Suisun Bay and Central Bay and San Joaquin rivers, while high inflows result in enhanced salinity stratification and gravitationalSensitivity analysis of three-dimensional salinity simulations in North San Francisco Bay using

  10. HOUSING GUARANTEE Apply Online

    E-Print Network [OSTI]

    Mease, Kenneth D.

    THE UCI HOUSING GUARANTEE Apply Online 1 Log in to your MyAdmission account via the tab of Admission fee. 3 Complete the Online Housing Application and pay the $20 non-refundable fee. Freshmen apply for the residence halls. Transfer students apply for Arroyo Vista theme houses and on-campus apartments. Students 25

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

    Broader source: Energy.gov [DOE]

    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.

  12. 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. Gupta2 Abstract In this paper, we consider the Bayesian analysis of the Marshall-Olkin bivariate Weibull. This is a generalization of the Marshall-Olkin bivariate exponential dis- tribution. It is well known that the maximum

  13. 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

  14. EA-1995: Trestle Bay Ecosystem Restoration Project, Clatsop County, Oregon

    Broader source: Energy.gov [DOE]

    The U.S. Army Corps of Engineers is preparing, with DOEs Bonneville Power Administration (BPA) as a cooperating agency, an EA that evaluates the potential environmental impacts of a proposal to improve estuary habitat in Trestle Bay. BPAs proposed action is to partially fund the proposal.

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

    E-Print Network [OSTI]

    Neyin, Rosemary Ogheneochuko

    2013-04-12T23:59:59.000Z

    ................................................................................................................. 24 REFERENCES .................................................................................................................. 25 vii LIST OF FIGURES Page Figure 1 Study Area in ANWR, San Antonio Bay, Texas... by microorganisms, colloidal matter, mineral surfaces, or all three; and (3) is superoxide a significant proximal oxidant? 4 STUDY AREA The area chosen for this study was located in the Aransas National Wildlife Refuge (ANWR) in San Antonio...

  16. 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

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

    E-Print Network [OSTI]

    Baker, Sarah H.; Holley, Edward R.

    apparently the first tests to be performed using the tracer gas technique in bays. As a result, the emphasis was on the development of techniques rather than on obtaining data. It appears that workable techniques have been developed, but they now need...

  18. Teaching Bayes' Rule: A Data Oriented Jim Albert 1

    E-Print Network [OSTI]

    Albert, James H.

    Teaching Bayes' Rule: A Data Oriented Approach Jim Albert 1 Bowling Green State University March 1997 1 Address for correspondence: Department of Mathematics and Statistics, Bowling Green State University, Bowling Green, OH 43403, USA. #12; Abstract There is a current emphasis on making

  19. Nitrogen Dynamics in Sandy Freshwater Sediments (Saginaw Bay, Lake Huron)

    E-Print Network [OSTI]

    of added 15NH4 + from lake water passing over dark sediment cores. Sediment-water fluxes of nitrogen at the sediment- water interface is derived from ammonium pro- duced from organic matter mineralization in surface ABSTRACT. Sediment-water nitrogen fluxes and transformations were examined at two sites in Sagi- naw Bay

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

    SciTech Connect (OSTI)

    Barton, Christopher

    2007-12-15T23:59:59.000Z

    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.

  1. DRAFT RICHMOND BAY CAMPUS LRDP | August 2013 The Richmond Bay Campus is a partnership between the University of Cali-

    E-Print Network [OSTI]

    Lee, Jason R.

    National Laboratory to create a state-of-the-art, inspirational, and sustainable place to produce world, the environment, health, and the global economy. In the near term, research at the Richmond Bay Campus will focus on cleaner methods to produce biofuels; an advanced understanding of the genomics of plants, microbes

  2. DRAFT RICHMOND BAY CAMPUS LRDP | November 2013 The Richmond Bay Campus is a partnership between the University of Cali-

    E-Print Network [OSTI]

    Lee, Jason R.

    is focused on the devel- opment of solutions for 21st century challenges in the areas of energy for innova- tion in the City of Richmond South Shoreline Area, serving as a catalyst for the development -- are directly supportive of the City's goals for the South Shoreline Area. The Richmond Bay Campus will serve

  3. 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.

    2013-04-29T23:59:59.000Z

    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 winds 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.

  4. Applied Computer Science

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

    Science and Innovation Computing CCS Division CCS-7 Applied Computer Science Innovative co-design of applications, algorithms, and architectures in order to enable...

  5. Apply early! Limited enrollment.

    E-Print Network [OSTI]

    volcano. Experience the culture and history of Hawaii, and the impact of human activitiesApply early! Limited enrollment. Environmental Science in the Hawaiian Islands Observe, research

  6. Selecting and Applying Interfacings

    E-Print Network [OSTI]

    2006-05-01T23:59:59.000Z

    Selecting and using interfacing correctly is an important component of garment construction. The various types of interfacing are described and methods of applying them are discussed in detail....

  7. 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

    2013-10-01T23:59:59.000Z

    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.

  8. 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

  9. Ambient dissolved oxygen concentrations in Delaware's Inland Bays. Final report, June 6, 1984

    SciTech Connect (OSTI)

    Biggs, R.B.

    1984-01-01T23:59:59.000Z

    Ambient dissolved oxygen concentrations were measured at dawn during August, 1983, in Rehoboth and Indian River Bays. In Indian River Bay, 59% of the D.O. measurements were below the State minimum water quality standard of 5 mg L/sup -1/, while in Rehoboth Bay 17% of the values fail to meet the State standards. Diurnal dissolved oxygen curves measured at 5 stations in the Bays and tributary creeks, provide evidence that, although the Bays are in reasonable balance with respect to apparent net daytime photosynthesis (Pa) and nighttime respiration (Rn), the absolute values of Pa and Rn are very high, compared with other coastal ecosystems, except for central Rehoboth Bay. These conclusions are consistent with the annual nutrient loads to the systems, which are about double for Indian River when contrasted with Rehoboth. 11 references, 1 figure, 7 tables.

  10. Investigation of tidal power, Cobscook Bay, Maine. Environmental Appendix

    SciTech Connect (OSTI)

    Not Available

    1980-08-01T23:59:59.000Z

    This report presents information regarding existing terrestrial and marine resources and water quality conditions in the Cobscook Bay area. A preliminary assessment of impacts from a tidal power project is also presented and data gaps are identified. Reports contained in the appendix were prepared by the U.S. Fish and Wildlife Service, the National Marine Fisheries Service, the University of Maine at Orino, School of Forestry Resources and the U.S. Army Corps of Engineers.

  11. Submarine geomorphology of Eastern Ross Sea and Sulzberger Bay, Antarctica

    E-Print Network [OSTI]

    Lepley, Larry Kent

    1964-01-01T23:59:59.000Z

    SUBMARINE GEOMORPHOLOGY OF EASTERN ROSS SEA AND SULZBERGER BAY, ANTARCTICA A Thocis By Submitted to the Graduate College of the Texas A 6 H Universicy in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE lanum...- ': Bsfhpeotrg l. Outer Snelf ?. ? Q ? ~elf =Bepr eeoione 3. inner Shelf 4~ B id gee S ed haunts l. Antaratic Uorine Sedhaento B seclhnents of Eastern Rom ssa - suleborgsr Boy Dissuasion Outer Shelf a. Ihwtstio, Xsostatio, snd Qlaoia1 Sister@ b. ?h igin...

  12. Weighting and Bayes Nets for Rollup of Surveillance Metrics

    SciTech Connect (OSTI)

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

    2012-04-30T23:59:59.000Z

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

  13. State of the Chesapeake Bay: second annual monitoring report, compendium. Report for January 1984-September 1985

    SciTech Connect (OSTI)

    Lynch, M.P.; Krome, E.C.

    1987-04-01T23:59:59.000Z

    The report is a summary of information collected at stations around the Chesapeake Bay. It is designed to be a more detailed/technical companion to the State Of The Bay Summary Report. It reports the results of the monitoring of the Chesapeake Bay in terms of its physical and chemical makeup (sediments, the distribution of toxics), the living resources, (plankton, benthos, submerged aquatic vegetation, birds), and the Patuxent River, as a case history.

  14. Building America Whole-House Solutions for Existing HomesBay...

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

    non-invasive retrofit measures. Bay Ridge Gardens-Mixed Humid Affordable Multifamily Housing Deep Energy Retrofit More Documents & Publications Building America Whole-House...

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

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01T23:59:59.000Z

    1893 and began ditching and dredging the marshland from thetions and Maintenance Dredging. Draft Program- matic 5-Yearwharf was abandoned. Early Dredging Humboldt Bay has been

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

    E-Print Network [OSTI]

    Wei Wang; for the Daya Bay collaboration

    2009-10-23T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01T23:59:59.000Z

    Humboldt Bay. Fab r icia sabella (Ehrenberg 1937) SABELLIDAEin estuarine mud. Banse (1979) reports Fab r icia sabellasabella from Newcastle Island, British Columbia; and

  18. Essays in applied microeconomics

    E-Print Network [OSTI]

    Aron-Dine, Aviva

    2012-01-01T23:59:59.000Z

    This dissertation consists of three chapters on topics in applied microeconomics. In the first chapter. I investigate whether voters are more likely to support additional spending on local public services when they perceive ...

  19. Engineering and Applied

    E-Print Network [OSTI]

    Stowell, Michael

    > Computer Science > Electrical, Computer, and Energy Engineering > Mechanical Engineering 11, Computational Science and Engineering, Energy Systems and Environmental Sustainability, Materials ScienceCollege of Engineering and Applied Science Contact Robert H. Davis, Engineering Dean 303

  20. Applying for Research Awards

    E-Print Network [OSTI]

    ... 53.22 KB APPLYING FOR RESEARCH AWARDS The Eastern Bird Banding Association seeks applicants for its annual $500 research awards in aid of research using banding techniques or bird banding data. ...

  1. Old Harbor Scammon Bay Hydro Feasibility

    SciTech Connect (OSTI)

    Brent Petrie

    2007-06-27T23:59:59.000Z

    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.

  2. Information Science, Computing, Applied Math

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

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

  3. Physics and Physical Oceanography Data Report 2000-2 Tow-Yo and Temperature Data from Trinity Bay,

    E-Print Network [OSTI]

    deYoung, Brad

    Physics and Physical Oceanography Data Report 2000-2 Tow-Yo and Temperature Data from Trinity Bay Oeanography Memorial University of Newfoundland St. John's, Newfoundland A1B 3X7 #12;ii Abstract Trinity Bay

  4. Enhanced Land Subsidence and Seidment Dynamics in Galveston Bay- Implications for Geochemical Processes and Fate and Transport of Contaminants

    E-Print Network [OSTI]

    Almukaimi, Mohammad E

    2013-07-05T23:59:59.000Z

    ENHANCED LAND SUBSIDENCE AND SEDIMENT DYNAMICS IN GALVESTON BAY- IMPLICATIONS FOR GEOCHEMICAL PROCESSES AND FATE AND TRANSPORT OF CONTAMINANTS A Thesis by MOHAMMAD ALMUKAIMI Submitted to the Office of Graduate Studies of Texas A... August 2013 Major Subject: Oceanography Copyright 2013 Mohammad Almukaimi ii ABSTRACT Galveston Bay is the second largest estuary in the Gulf of Mexico. The bay?s watershed and shoreline contains one of the largest concentrations...

  5. SOME EFFECTS OF HYDRAULIC DREDGING AND COASTAL DEVELOPMENT IN BOCA CIEGA BAY, FLORIDA 1

    E-Print Network [OSTI]

    SOME EFFECTS OF HYDRAULIC DREDGING AND COASTAL DEVELOPMENT IN BOCA CIEGA BAY, FLORIDA 1 BY JOHN L. PETERSBURG BEACH, FLA. 33706 ABSTRACT Filling of 1,400 hectares (3,500 acres) of bay by hy- draulic dredging in dredged ItreltS wit.h those in relatively undisturbed ttreas. Hydl'ltulic dredging becmue. ltll ltccepted

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

    E-Print Network [OSTI]

    Han, Seunghee

    2005-02-17T23:59:59.000Z

    of the requirements for the degree of DOCTOR OF PHILOSOPHY December 2004 Major Subject: Oceanography MERCURY SPECIATION IN GALVESTON BAY, TEXAS: THE IMPORTANCE OF COMPLEXATION BY NATURAL ORGANIC LIGANDS A Dissertation by SEUNGHEE HAN.... Cifuentes (Member) Paul A. Lindahl (Member) Wilford D. Gardner (Head of Department) December 2004 Major Subject: Oceanography iii ABSTRACT Mercury Speciation in Galveston Bay, Texas: The Importance of Complexation...

  7. Feeding habits of the Guiana dolphin, Sotalia guianensis (Cetacea: Delphinidae), in Norte Bay,

    E-Print Network [OSTI]

    Simes-Lopes, Paulo Csar

    Feeding habits of the Guiana dolphin, Sotalia guianensis (Cetacea: Delphinidae), in Norte Bay contents of 18 Guiana dolphins stranded or accidentally caught by fishing around Norte Bay of Santa del delfn costero, Sotalia guianenSiS (Cetacea: Delphinidae), en la baha Norte al sur de Brasil

  8. REPRODUCTIVE LONGEVITY OF DRIFTING KELP MACROCYSTIS PYRIFERA (PHAEOPHYCEAE) IN MONTEREY BAY, USA1

    E-Print Network [OSTI]

    California at Santa Cruz, University of

    REPRODUCTIVE LONGEVITY OF DRIFTING KELP MACROCYSTIS PYRIFERA (PHAEOPHYCEAE) IN MONTEREY BAY, USA1 index words: dispersal; drifting; germination; kelp; longevity; Macrocystis; Monterey Bay; rafts, especially for seaweeds (Norton 1992, Eckman 1996, Kinlan and Gaines 2003, Reed et al. 2006). The giant kelp

  9. Nitrogen sources and cycling in the San Francisco Bay Estuary: A nitrate dual isotopic composition approach

    E-Print Network [OSTI]

    Paytan, Adina

    as 25.0%) at the SacramentoSan Joaquin River delta region give rise to a wide range of d18ONO3 valuesNitrogen sources and cycling in the San Francisco Bay Estuary: A nitrate dual isotopic composition18O) within the estuarine system of San Francisco (SF) Bay, California, to explore the utility

  10. 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

  11. MODELING PHYTOPLANKTON ABUNDANCE IN SAGINAW BAY, LAKE HURON: USING ARTIFICIAL NEURAL NETWORKS TO DISCERN FUNCTIONAL INFLUENCE

    E-Print Network [OSTI]

    MODELING PHYTOPLANKTON ABUNDANCE IN SAGINAW BAY, LAKE HURON: USING ARTIFICIAL NEURAL NETWORKS; phytoplankton Abbreviations: ANN, artificial neural network; Cl , chloride; DOC, dissolved organic carbon; Kd Phytoplankton abundance, as chl a, in Saginaw Bay, Lake Huron was modeled using arti- ficial neural networks

  12. The Catalytic Chemistry of HCN+NO over Na- and Ba-Y, FAU: An...

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

    The Catalytic Chemistry of HCN+NO over Na- and Ba-Y, FAU: An In Situ FTIR and TPDTPR Study. The Catalytic Chemistry of HCN+NO over Na- and Ba-Y, FAU: An In Situ FTIR and TPDTPR...

  13. 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

  14. The influence of oceanic swell on flows over an estuarine intertidal mudflat in San Francisco Bay

    E-Print Network [OSTI]

    Talke, Stefan

    The influence of oceanic swell on flows over an estuarine intertidal mudflat in San Francisco Bay S mudflat. The observations indicate that long-period (1020 s) ocean waves are a potentially important, we deployed an autonomous SonTek Hydra system on a mudflat in Central San Francisco Bay, and measured

  15. Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal

    E-Print Network [OSTI]

    Fleskes, Joe

    i Final Report for Sea-level Rise Response Modeling for San Francisco Bay Estuary Tidal Marshes Refuge in northern San Francisco Bay, California. #12;iii Final Report for Sea-level Rise Response)................................................................... 7 Sea-level rise scenario model inputs

  16. Hydrodynamic models for San Francisco Bay: An overview of what we can model, when

    E-Print Network [OSTI]

    S SS Chla x/X2 z/h(x) #12;Models can influence policy: Mixing in the LSZ (1993) Dispersion via tidal shear in Suisun Bay (2D calculations by Jon Burau) #12;Current models: South Bay Salt Pond sediment average Thermal front near Dumbarton Bridge #12;More complicated models: Sediment transport in South SF

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

    E-Print Network [OSTI]

    Schroer, Lee Allen

    2014-05-07T23:59:59.000Z

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

  18. Please cite as: Boynton, W.R. 1998. Chesapeake Bay eutrophication Current status, historical trends, nutrient limitation

    E-Print Network [OSTI]

    Boynton, Walter R.

    Please cite as: Boynton, W.R. 1998. Chesapeake Bay eutrophication Current status, historical trends NUTRIENTS WORKSHOP CHESAPEAKE BAY EUTROPHICATION: CURRENT STATUS, HISTORICAL TRENDS, NUTRIENT LIMITATION summarizes a portion of the eutrophication history of Chesapeake Bay, a large coastal plain estuary

  19. Environmental links to interannual variability in shellfish toxicity in Cobscook Bay and eastern Maine, a strongly tidally mixed coastal region

    E-Print Network [OSTI]

    Townsend, David W.

    Environmental links to interannual variability in shellfish toxicity in Cobscook Bay and eastern e i n f o Keywords: Harmful algal blooms Gulf of Maine Cobscook Bay Shellfish toxicity a b s t r a c of Cobscook Bay, where strong tidal mixing tends to reduce seasonal variability in oceanographic properties

  20. 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

  1. Applied Microbiology and Biotechnology

    E-Print Network [OSTI]

    Alvarez-Cohen, Lisa

    1 23 Applied Microbiology and Biotechnology ISSN 0175-7598 Appl Microbiol Biotechnol DOI 10.1007/s-Cohen #12;1 23 Your article is protected by copyright and all rights are held exclusively by Springer in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version

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

    E-Print Network [OSTI]

    Daya Bay Collaboration

    2014-11-28T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Austin, George Belden

    1953-01-01T23:59:59.000Z

    is not filling with sediment to any apparent degree. The U. S. Corps of Engineers maintains ths Mobile Ship Channel to a depth of thirty-two feet. Dredging operations proceed during most of the year since this depth is some twenty-two f'eet below the mean bay... ~ ~ ~ ~ ix ~ ~ ~ ~ ~ ~ ~ ~ ~ 1 ~ 4 6 9 10 E. Meteorological III. TIDAL FLUSHING THEORY 15 A. Ketchum's Tidal Prism Theory B. Stommel's and Arons' Ydxing Length Theory. of Tidal Flushing IV. THE HYDROGRAPHIC SURVEY 22 27 A. Planning B...

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

    E-Print Network [OSTI]

    Guannel, Gregory

    2001-01-01T23:59:59.000Z

    OIISERVATIONS OF REMOTE AND LOCAL FORCINC IN CALVESTON BAY, TEXAS A Thesis by GREGORY GUANNEL Submitted to the Office ot Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... conditions, and who supported me and helped me in the theoret&cal aspect of my research, as well as in thc professional aspect of my studies at Texas A&M University. I also would like to thank Dr. Edge for his help and support, and Dr. Nev, ton liar its...

  5. Geological oceanography of the Atchafalaya Bay area, Louisiana

    E-Print Network [OSTI]

    Thompson, Warren Charles

    1953-01-01T23:59:59.000Z

    off the river mouth, and 2. Mud-flat sediments on the coast west of Atchafalaya Bay to form the 7-mile-wide stretch of marshland which extends for 60 miles (Figure 3, p. 14). B. The contemporary rapid increase in discharge of the Atchafalaya River... area of the recently formed Atchafalaya River, and the site at which a great new river delta will eventually form. Engineering operations undertaken near the head of the Atchafalaya River in central Louisiana in the mid-19th century to open a...

  6. Recent Results from Daya Bay Reactor Neutrino Experiment

    E-Print Network [OSTI]

    Hu, Bei-Zhen

    2015-01-01T23:59:59.000Z

    The Daya Bay reactor neutrino experiment announced the discovery of a non-zero value of \\sin^22\\theta_{13} with significance better than 5 \\sigma in 2012. The experiment is continuing to improve the precision of \\sin^22\\theta_{13} and explore other physics topics. In this talk, I will show the current oscillation and mass-squared difference results which are based on the combined analysis of the measured rates and energy spectra of antineutrino events, an independent measurement of \\theta_{13} using IBD events where delayed neutrons are captured on hydrogens, and a search for light sterile neutrinos.

  7. 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.

    2015-02-01T23:59:59.000Z

    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)

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

    E-Print Network [OSTI]

    Austin, George Belden

    1953-01-01T23:59:59.000Z

    . For each of the twenty-eight station positions, curves vere then drawn for temperature-depth and salinity&epth for the different ob- served tidal stages. From these curves temperature-depth sections (Figure V) and salinity-depth sections (Figures VI, VII...) vere oon- structed 1' or six cross-sections of Mobile Bay and for the ship channel length, for the different tidal stages. Current velocity vectors were plotted by station for surface and bottom at ebb and flood tidal stages. From these data surface...

  9. Bristol Bay Borough, Alaska: 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LP Biomass Facility Jump to: navigation, searchEnergyBristol Bay

  10. Clean Cities: East Bay Clean Cities coalition (Oakland)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced. C o w l i t z CPlasma0 12Denver Metro Clean Cities CoalitionBay

  11. Kawela Bay, Hawaii: 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetecGtelInteriasIowa: EnergyKanabec County,Kaolin ADKaw ValleyKawela Bay,

  12. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall,Missouri:EnergyOssian, NewPalisades Park, New Jersey:Florida: EnergyPalmer,Bay,

  13. City of Bay City, Michigan (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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovationin Urban Transport |City of Ames,Barnesville, GeorgiaCity of Bay

  14. Half Moon 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdfGetec AG| Open EnergyGuntersville ElectricControlon|Half Moon Bay, California:

  15. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, searchOfRose BendMiasole IncMinutemanVistaZephyr) JumpMorro Bay, California:

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympiaAnalysis)Pearl River Valley El Pwr AssnPedro Bay

  17. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt LtdShawangunk, NewSingaporeSonix Japan Inc JumpBarrington ElectricBay, Florida:

  18. McKay Bay Facility Biomass Facility | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville, Ohio: Energy ResourcesMaviMcCullochMcGregor,McKay Bay Facility Biomass

  19. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant JumpMarysville, Ohio:Menomonee|MililaniMindanaoMinuanoIV Jump to:1980)Bay, Florida:

  20. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model, clickInformationNew|CoreCpWingCushing, Maine: EnergySouthCutler Bay,

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.png El CER esDatasetCityFundCo-benefitsCoalogixfield |Cold Bay

  2. Nassau 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer PlantMunhall, Pennsylvania: Energy ResourcesOceanNanostellar IncNaranja,Nashua,Bay, Texas:

  3. Bay County, 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources Jump to: navigation,

  4. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources Jump to:Michigan:

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources Jump to:Michigan:Harbor

  6. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources Jump

  7. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources JumpHill, Florida:

  8. Bay Lake, 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources JumpHill, Florida:Lake,

  9. Bay Point, 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources JumpHill,

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources JumpHill,250986°,

  11. Bay View, Ohio: 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources JumpHill,250986°,View,

  12. Bay Village, Ohio: 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBay County, Florida: Energy Resources

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro Industries Pvt Ltd Jump to:Roscommon County,Vermont: EnergyEasements | OpenEnergy|Runaway Bay,

  14. Galveston Bay Biodiesel LP GBB | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are8COaBulkTransmissionSitingProcess.pdf Jump1946865°,Park, Texas: Energy Resources Jump to:GallantGalliaGalveston Bay

  15. Evaluation of older bay mud sediment from Richmond Harbor, California

    SciTech Connect (OSTI)

    Pinza, M.R.; Mayhew, H.L.; Word, J.Q.

    1996-09-01T23:59:59.000Z

    The older, bay mud (OBM) unit predates modem man and could act as a barrier to the downward transport of contaminants from the younger bay mud (YBM) because of its hard-packed consistency. However, its chemical and biological nature have not been well characterized. Battelle/Marine Sciences Laboratory (MSL) conducted three independent studies of OBM sediment in January 1993, January 1994, and October 1994. These studies evaluated potential chemical contamination and biological effects of OBM that could occur as a result of dredging and disposal activities. These evaluations were performed by conducting chemical analysis, solid-phase toxicity tests, suspended- particulate-phase (SPP) toxicity tests, and bioaccumulation tests on the OBM sediment. If the sediment chemistry and toxicity results showed no or minimal contamination and toxicological responses, then either the OBM could be left exposed in Richmond Harbor after dredging the YBM without leaving a source of contamination, or if the project depths necessitate, the OBM would be acceptable for disposal at an appropriate disposal site.

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

    SciTech Connect (OSTI)

    Larson, N M

    1982-08-01T23:59:59.000Z

    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.

  17. Siting of dredged material islands in bays and estuaries along low-energy coastlines

    SciTech Connect (OSTI)

    Mathewson, C.C.

    1985-01-01T23:59:59.000Z

    Bays, estuaries, and lagoons along low-energy coastlines are protected shallow water environments, which make them suitable sites for intracoastal transportation routes. Dredging operations often construct disposal islands, which are cost effective and provide protected sites for shore birds. Channel maintenance is often required because sediments are transported from the island to the channel. Studies of dredge material island changes along the Texas coast have shown that the reworking and transport of island sediments is influenced by a number of geologic, geotechnical, biological, and climatic factors. Significant factors are: wind; waves; tides, both astronomic and wind generated; currents produced by wind, fluvial, and tidal processes; physical characteristics of the dredged material; climate, including both prevailing and storm conditions; basin physiography, island design, shape, height, and location within the basin; biology, both flora and fauna; and the activities of man, ship wake, subsidence, etc. Selection of the most effective island location can be based on a process model that incorporates a recognition of the influence and interaction of the physical factors that erode and transport island sediments and those that stabilize the island. This model can be applied early in the site selection process with corresponding improvements in the design and permitting of the dredging program.

  18. Commencement Bay cumulative impact study: Historic review of special aquatic sites

    SciTech Connect (OSTI)

    Not Available

    1991-05-04T23:59:59.000Z

    The Commencement Bay Nearshore/Tideflats area, of which Commencement Bay is a part, has been designated by the Environmental Protection Agency as a Superfund site. Development in and around Commencement Bay have resulted in significant shoreline alterations, loss of substantial aquatic, mudflat and delta wetland habitat, and degradation of water quality. Dredging of nearshore areas to support port and harbor facilities for the Port of Tacoma has been carried out since the turn of the century by public and private industry. Areas south of the waterways have been diked, filled, and channelized for construction of storage buildings, shipping facilities, and various commercial and industrial purposes. Continued development pressures, maintenance dredging, and other activities necessitate an evaluation of the cumulative impacts of such activities on the remaining aquatic sites of Commencement Bay. Various resource agency and tribal recommendations resulted in the Commencement Bay Cumulative Impact Study, which was designed to produce the most complete historic record documenting loss of special aquatic sites. The baseline information will be used to quantify the cumulative impacts beginning in the mid-1800's through 1941 as a management tool. Commencement Bay is generally defined as a geographic region of south Puget Sound in Washington State extending from Brown's Point to Point Defiance. It provides a natural harbor for ships because there are no bars or other obstructions at the entrance to the bay.

  19. Applied ALARA techniques

    SciTech Connect (OSTI)

    Waggoner, L.O.

    1998-02-05T23:59:59.000Z

    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.

  20. 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

    2010-04-22T23:59:59.000Z

    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 Laboratorys 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.

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

    E-Print Network [OSTI]

    Luczaj, John A.

    earned his B.S. degree in geology from the University of WisconsinOshkosh. This was followed by an M.S. degree in geology from the University of Kansas. He holds a Ph.D. in geology from Johns Hopkins Uni of Ordovician and Silurian carbonates in the central United States, oil and gas resources of the Michigan Basin

  2. 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

    2014-10-08T23:59:59.000Z

    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.

  3. Mercury-contaminated sludge treatment by dredging in Minamata Bay

    SciTech Connect (OSTI)

    Yoshinaga, Kiyoto [Ministry of Transport, Niigata (Japan)

    1995-12-31T23:59:59.000Z

    To eradicate Minamata Disease, caused by the discharge of sewage containing methyl mercury and its accumulation in fish and shellfish through the food cycle, a large-scale sediment disposal project was conducted with special care taken to prevent new pollution resulting from the project itself. The basic approach to sediment disposal was to construct a highly watertight revetment to reclaim the inner area of the bay and then confine sediment dredged from the remaining contaminated area in the reclamation area through surface treatment. Before sediment disposal, boundary nets were installed to enclose the work area to prevent the mixing of contaminated and noncontaminated fish. Dredging work was successfully carried out by using four cutterless suction dredgers, newly developed in advance for minimizing resuspension of sediments. Dredged material was discharged into the reclamation area, filled up to sea level, and covered with a sandproof membrane, lightweight volcanic ash earth, and mountain soil.

  4. Surface Currents and Winds at the Delaware Bay Mouth

    SciTech Connect (OSTI)

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

    2011-04-06T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Schlosser, S. C.; Rasmussen, R.

    2007-01-01T23:59:59.000Z

    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

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

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

    Targeting Net Zero Energy at Marine Corps Base Kaneohe Bay, Hawaii: Assessment and Recommendations K. Burman, A. Kandt, L. Lisell, S. Booth, A. Walker, J. Roberts and J. Falcey...

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

    E-Print Network [OSTI]

    Albertson, Andrea Kai

    1998-01-01T23:59:59.000Z

    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 each marsh type. Vegetative...

  8. Effects Of Sea Otter Colonization On Soft-Sediment Intertidal Prey Assemblages In Glacier Bay, Alaska

    E-Print Network [OSTI]

    Weitzman, Benjamin Phillip

    2013-01-01T23:59:59.000Z

    structuring in soft-sediment systems over a multi-decadalcaloric demands. In soft-substrate systems, recolonizing seainfluences of otters on soft-sediment systems in Glacier Bay

  9. An Urban Estuary in a Changing World: Diversity, Invasions, and Climate Change in San Francisco Bay

    E-Print Network [OSTI]

    Chang, Andrew L.

    2009-01-01T23:59:59.000Z

    33: 167. ????. 2006. Water Quality of San Francisco Bay.within and among shallow- water Ciona species (Ascidiacea).induced changes in estuarine water quality. Marine Ecology

  10. Long-Term Testing and Properties of Acrylic for the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    Krohn, M; Heeger, K M

    2012-01-01T23:59:59.000Z

    The Daya Bay reactor antineutrino experiment has recently measured the neutrino mixing parameter sin22{\\theta}13 by observing electron antineutrino disappearance over kilometer-scale baselines using six antineutrino detectors at near and far distances from reactor cores at the Daya Bay nuclear power complex. Liquid scintillator contained in transparent target vessels is used to detect electron antineutrinos via the inverse beta-decay reaction. The Daya Bay experiment will operate for about five years yielding a precision measurement of sin22{\\theta}13. We report on long-term studies of poly(methyl methacrylate) known as acrylic, which is the primary material used in the fabrication of the target vessels for the experiment's antineutrino detectors. In these studies, acrylic samples are subjected to gaseous and liquid environmental conditions similar to those experienced during construction, transport, and operation of the Daya Bay acrylic target vessels and detectors. Mechanical and optical stability of the ac...

  11. A Rapid Assessment Method Examining the Ecological Health of Tidal Marine Wetlands in Galveston Bay, Texas

    E-Print Network [OSTI]

    Staszak, Lindsey Ann

    2011-10-21T23:59:59.000Z

    Galveston Bay, and then grouped those measurements into four functional groups: landscape/site characteristics, hydrology, wildlife habitat, and soil characteristics. I then developed a scoring system (minimum 0, maximum 100) to summarize the overall health...

  12. 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.

    2014-05-28T23:59:59.000Z

    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.

  13. Tidal response of a bay with a constricted opening to the sea

    E-Print Network [OSTI]

    Love, Robert Wesley

    1959-01-01T23:59:59.000Z

    Fundamental response of bay for a'L = . 01, H/ho & 1 Fundamental response of bay for o'L = . 1, H/h & . 1 . Fundamental response of bay for crL =, 5, H/h & . 1 . 31 33 I Response factor of a /H for ctL =, 01, H/h as 0 indicated, 10 Response factor of a... -& . 06 . 04 3. H/h = . 1 H/h = . 05 H/ho = . 01 . 02 0 . 1 . 5 1 2 10 20 Bay Parameter, N 50 100 200 Pig. 10: Respoase Factor of a2/H for cL = 0. 1, H/h as isdicatetl. . 08 x . Oe H [ . 04 cd H/h H/ho = . 05 H/h = . 01 0 . 02 . 5 1 2...

  14. Chesapeake Bay Eutrophication: Scientific Understanding, Ecosystem Restoration, and Challenges for Agriculture

    E-Print Network [OSTI]

    Chesapeake Bay Eutrophication: Scientific Understanding, Ecosystem Restoration, and Challenges'scultural eutrophication and extensive efforts to reduce nutrient inputs. In 1987 a commitment was made to reduce of eutrophication were incompletely known. research, policies, and concerted management action Subsequent research

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

    E-Print Network [OSTI]

    Hawley, Patrick Emmett

    1994-01-01T23:59:59.000Z

    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...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

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

    E-Print Network [OSTI]

    Stunz, Gregory Wayne

    1995-01-01T23:59:59.000Z

    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...

  18. Effect of variation in freshwater inflow on phytoplankton productivity and community composition in galveston bay, texas

    E-Print Network [OSTI]

    Thronson, Amanda Mae

    2009-05-15T23:59:59.000Z

    2050, water regulators and managers are faced with the challenge of meeting human needs, while maintaining essential freshwater inflows into estuarine ecosystems. Galveston Bay is of particular concern because 10 million people currently living within...

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

    E-Print Network [OSTI]

    Shinn, Jamie Elizabeth

    2010-06-04T23:59:59.000Z

    . This thesis begins to fill that gap by using a political ecology-based approach to understand the complex historical, political, and environmental factors that affect issues of degradation and conservation in the Menai Bay Conservation Area of Zanzibar...

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

    E-Print Network [OSTI]

    Palmer, Margaret A.

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

  1. DEVELOPING A METHOD TO MONITOR SEDIMENTATION PROCESSES IN MAYAGEZ BAY USING MODIS DATA

    E-Print Network [OSTI]

    Gilbes, Fernando

    b d 1 & 2) October 26, 2005 Close up of the Bay (c) (MODIS band 1 & 2) y = 452.41x + 2.9603 R 2 = 0.7232

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

    E-Print Network [OSTI]

    LeFranois, Suzanne O'Neil, 1980-

    2003-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Yanagihara, R.; Okagaki, A.

    2006-01-01T23:59:59.000Z

    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...

  4. Empirical Bayes in the presence of exceptional cases, with application to microarray data

    E-Print Network [OSTI]

    Smyth, Gordon K.

    Research, 1G Royal Parade, Parkville, Victoria 3052, Australia. (3) Department of Mathematics, Australia. (5) Corresponding author. Abstract Empirical Bayes is a statistical approach for estimating procedure improves statistical power for most genes in many microarray data sets. Simulations show

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

    E-Print Network [OSTI]

    Gilbert, Leslie Deanne

    2011-10-21T23:59:59.000Z

    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...

  6. The distribution and diurnal variation of phosphorus in some Texas bays

    E-Print Network [OSTI]

    Bruce, Herbert Ernest

    1959-01-01T23:59:59.000Z

    of these compounds is probably negligible since these compounds are obtained by extraction from nucleo- protein with chloroform (Harvey, 1938). SECTION III DETERMINATION OF THE DISTRIBUTION OF IONIC PHOSPHATE IN BAFFIN BAY AS TRACED HITH P In an effort...

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

    E-Print Network [OSTI]

    Yanagihara, R.; Okagaki, A.

    2006-01-01T23:59:59.000Z

    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...

  8. Assessment of bycatch associated with the inshore shrimp fishery in Matagorda Bay, Texas

    E-Print Network [OSTI]

    Sparks, Debbie Laura

    2000-01-01T23:59:59.000Z

    ASSESSMENT OF BYCATCH ASSOCIATED WITH THE INSHORE SHRIMP FISHERY IN MATAGORDA BAY, TEXAS A Thesis by DEBBIE LAURA SPARKS Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE August 2000 Major Subject: Wildlife and Fisheries Sciences ASSESSMENT OF BYCATCH ASSOCIATED WITH THE INSHORE SHRIMP FISHERY IN MATAGORDA BAY, TEXAS A Thesis by DEBBIE LAURA SPARKS Submitted to Texas ARM University...

  9. DRAFT RICHMOND BAY CAMPUS LRDP | August 2013 Appendix 1: Existing Richmond Field Station Building Inventory (2012)

    E-Print Network [OSTI]

    Lee, Jason R.

    2012-01-01T23:59:59.000Z

    in the fore- ground and the San Francisco Bay and Marina Bay residen- tial community beyond. #12;A.2 DRAFT Research Ofc 1960-1969 16,949 12 Poor 113 Storage 1980-1989 1,800 14 Good 114 Storage pre 1940 4,523 12 Good 120 Storage unknown 269 12 Good 121 Storage unknown 728 15 Good 125 Storage pre 1940 1,024 12 Good

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

    E-Print Network [OSTI]

    Piper, Erin Alynn

    2011-08-08T23:59:59.000Z

    ANTECEDENT GEOLOGIC CONTROLS ON THE DISTRIBUTION OF OYSTER REEFS IN COPANO BAY, TEXAS A Thesis by ERIN ALYNN PIPER 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 May 2010 Major Subject: Oceanography ANTECEDENT GEOLOGIC CONTROLS ON THE DISTRIBUTION OF OYSTER REEFS IN COPANO BAY, TEXAS A Thesis by ERIN ALYNN PIPER Submitted to the Office of Graduate...

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

    E-Print Network [OSTI]

    Bronikowski, Jason Lee

    2004-11-15T23:59:59.000Z

    point, the bedload cannot migrate seaward pass the null point. As a result, coarser sediment deposits form upstream of the null point. During flooding, the null point and bedload deposits migrate down into the bay. A turbidity maximum exists... correlation between low and high backscatter to muddy and sandy substrates. Low backscatter correlated to fine grain sediment and the high backscatter to coarser sediment deposits at grab locations, and these were extrapolated to the entire bay floor...

  12. Influence of soil physicochemical properties on hydrology and restoration response in Carolina Bay wetlands.

    SciTech Connect (OSTI)

    Barton, C. D.; Andrews, D.M.; Kolka, R.K.

    2006-04-01T23:59:59.000Z

    Carolina Bays are shallow depression wetlands found in the southeast US that have been severely altered by human activity. The need to restore these complex and diverse systems is well established, but our understanding of basic wetland hydrological processes is limited, hence our ability to predict the need for and/or assess the effectiveness of bay restorations is hindered. Differing physicochemical properties of soils within bay interiors may control bay hydrology. However, previous efforts to establish relationships between soil characteristics and bay hydrology have been inconclusive and the question still remains as to why some bays are ponded throughout the year while others, within a similar landscape unit, are predominantly dry. An assessment of soil and hydrologic characteristics was initiated in restored and unrestored control bays to determine if a relationship exists. Soil morphology was described and permanent monitoring wells were installed at each site. Soil samples were collected by horizon to a depth of 2 meters at the topographic center of each site, and then analyzed. After three years, multiple regression analysis (stepwise backward and forward) was used to establish relationships between the soil physicochemical characteristics and bay hydroperiod in the undisturbed sites. Results from surface soils indicated that exchangeable acidity (EA) was the best single predictor of hydrology. The best double predictor was EA and total N and EA, total N and total C as the best triple predictor. A significant relationship (r2 = 0.96) between hydroperiod and clay content in the argillic horizon (Bt) was also observed. Subsequently, this relationship was utilized to predict hydrologic response using pre-restoration hydroperiod data. The model accurately identified sites that did not need hydrologic restoration (too wet), and effectively showed sites that responded well to restoration activities.

  13. 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

  14. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean and Academic Director, Information Technology and Management Programs: C. Robert Carlson Director of Operations

  15. School of Applied Technology School of Applied Technology

    E-Print Network [OSTI]

    Heller, Barbara

    School of Applied Technology School of Applied Technology Daniel F. and Ada L. Rice Campus Illinois Institute of Technology 201 E. Loop Road Wheaton, IL 60187 630.682.6000 www.iit.edu/applied tech/ Dean Technology and Management Programs: Mazin Safar Director, Marketing & Development: Scott Pfeiffer Director

  16. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    problems 20 2.3.1 Classes 20 2.3.2 Types of classi cation problems 20 2.3.3 Learning and test sets 21 2Applied inductive learning Louis Wehenkel University of Li`ege Faculty of Applied Sciences Course;#12;APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li#12;ege

  17. Applied inductive learning Louis Wehenkel

    E-Print Network [OSTI]

    Wehenkel, Louis

    .3.2 Types of classification problems 20 2.3.3 Learning and test sets 21 2.3.4 Decision or classificationApplied inductive learning Louis Wehenkel University of Li??ege Faculty of Applied Sciences Course??e'' #12; #12; APPLIED INDUCTIVE LEARNING COURSE NOTES : OCTOBER 2000 LOUIS A. WEHENKEL University of Li

  18. 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

  19. 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

  20. 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

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

    SciTech Connect (OSTI)

    Salamanca, Orrego, M.A.

    1993-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Schlosser, S. C.

    2007-01-01T23:59:59.000Z

    1893 and began ditching and dredging the marshland from thetions and Maintenance Dredging. Draft Program- matic 5-Yearwharf was abandoned. Early Dredging Humboldt Bay has been

  3. 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

    2009-01-01T23:59:59.000Z

    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

  4. 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.

    2013-01-01T23:59:59.000Z

    both agricultural and oil refinery sources of Se (SFBRWQCBSe hydrodynamics oil refinery effluent North Bay 1) internal inputs of oil refinery wastewaters from pro-

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

    SciTech Connect (OSTI)

    Ajdukiewicz, J.M.; Paxton, S.T.; Szabvo, J.O. (Exxon Production Research Co., Houston, TX (United States))

    1991-03-01T23:59:59.000Z

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

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

    Broader source: Energy.gov [DOE]

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

  7. Evidence for the southward migration of mud banks in Florida Bay Kristian H. Taylor , Samuel J. Purkis

    E-Print Network [OSTI]

    Purkis, Sam

    primarily of biogenic carbonate lime mud originating from local calcium-carbonate producers (Stockman et al Florida Bay (Stockman et al., 1967). The production of calcium carbonate mud is estimated at 118 g/m2 of carbonate mud within Florida Bay. The calcareous algae Penicillus is also a contributor to the mud within

  8. 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.

    1986-01-01T23:59:59.000Z

    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.

  9. 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

  10. Diagenesis and porosity evolution, Norphlet Formation in Mobile Bay, Alabama

    SciTech Connect (OSTI)

    Lock, B.E.; Broussard, S.W.

    1988-02-01T23:59:59.000Z

    Major deposits of natural gas were discovered in the Norphlet Formation beneath Mobile Bay in 1979. The reservoirs are in arkosic sandstones at depths greater than 20,000 ft, yet the productive interval has porosities up to 25%. Overlying the porous zone is a tight cap of thoroughly cemented sandstone of variable thickness, which poses problems for exploration and production. The tight zone, which together with overlying basal Smackover forms the reservoir seal, may be so thick that the underlying productive interval is substantially reduced. The upper parts of the Norphlet, in common with many other eolian sands, were reworked during a subsequent transgression. There is not a full correspondence, however, between the tight rock and the reworked facies. The origin of the impermeable zone is better understood as a function of the diagenetic history only partially related to depositional facies. It is proposed that, at an early stage of diagenesis, brines derived from the underlying Louann Salt and Werner Formation deposited anhydrite and possibly halite cements in the lower part of the Norphlet Formation. Marine working of the upper sands may have helped to disperse these brines from the upper part of the Norphlet, and the depth of reworking may even have been partially influenced by incipient cementation. The zones not already cemented by evaporites were subsequently cemented by quartz and feldspar overgrowths. At a very late stage, deep in the subsurface, the evaporite cements were flushed from the lower parts of the Norphlet, and locally abundant small feldspar crystals randomly nucleated in the pores. Gas migrated into the formation shortly afterward. Evaporites may play another important role in the petroleum geology of the deep Norphlet: the source of the gas may have been the underlying evaporites.

  11. APPLIED TECHNOLOGY Strategic Plan Summary

    E-Print Network [OSTI]

    Heller, Barbara

    and collaborative technology-based support for the proposed Innovation Center and the Entrepreneurship Academy. We research centersCNR, CPI, and CSP. Establish a food safety and processing technology hub/incubator/innovationSCHOOL OF APPLIED TECHNOLOGY Strategic Plan Summary #12;School of Applied Technology Strategic Plan

  12. Evaluation of dredged material proposed for ocean disposal from Gravesend Bay Anchorage, New York

    SciTech Connect (OSTI)

    Barrows, E.S.; Gruendell, B.D. [Battelle/Marine Sciences Lab., Sequim, WA (United States)

    1996-09-01T23:59:59.000Z

    The Gravesend Bay Anchorage was one of seven waterways that the US Army Corps of Engineers-New York District (USACE-NYD) requested the Battelle Marine Sciences Laboratory (MSL) to sample and evaluate for dredging and disposal in February 1994. Sediment samples were submitted for physical and chemical analyses to provide baseline sediment chemistry data on the Gravesend Bay Anchorage. Individual sediment core samples collected at the Gravesend Bay Anchorage were analyzed for grain size, moisture content, and total organic carbon (TOC). Two samples, one of composited sediment cores representing the southeast corner of the anchorage (COMP GR), and one sediment core representing the northeast corner of the anchorage (Station GR-1 0), were analyzed for bulk density, specific gravity, metals, chlorinated pesticides, polychlorinated biphenyl (PCB) congeners, polynuclear aromatic hydrocarbons (PAH), and 1,4-dichlorobenzene.

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

    2014-10-01T23:59:59.000Z

    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=0.0830.018 in the three-flavor oscillationmoremodel. When combined with the gadolinium-capture result from Daya Bay, we obtain sin22?13=0.0890.008 as the final result for the six-antineutrino-detector configuration of the Daya Bay experiment.less

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

    2014-10-01T23:59:59.000Z

    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=0.0830.018 in the three-flavor oscillation model. When combined with the gadolinium-capture result from Daya Bay, we obtain sin22?13=0.0890.008 as the final result for the six-antineutrino-detector configuration of the Daya Bay experiment.

  15. Department of Applied Mathematics Department of Applied Mathematics

    E-Print Network [OSTI]

    Heller, Barbara

    , computational mathematics, discrete applied mathematics, and stochas- tics. More detailed descriptions of Philosophy in Collegiate Mathematics Education (joint program with the Department of Mathematics and Science Education) Research Facilities The department provides students with office space equipped with computers

  16. 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.

    2011-11-01T23:59:59.000Z

    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.

  17. Ann bay lodyans 3 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 3 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 Nouvl : Fondasyon Alfa Lws, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS 3 Se Bryant Freeman...

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

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    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 Nouvl : Fondasyon Alfa Lws, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS 1 Se Bryant Freeman...

  19. Polychlorinated biphenyls in water, sediment and selected organisms of Galveston Bay, Texas: environmental levels and bioaccumulation

    E-Print Network [OSTI]

    Stahl, Ralph Garner

    1980-01-01T23:59:59.000Z

    organisms of Galveston Bay, Texas was conducted at 8 locations in the Bay during 1978-1979. PCB contaudnation was greater in water and ~t samples fr?xn sites proximal to petro- chemical industry. These sites were associated with the Houston and the Te...~s City Ship Channels. Values in water were less than 1 ug/L while values in sediment were less than 100 ng/g. PCB contami"ation cf Atlantic croaker, blue crab, and laughing gull was similar in magnitude to ~t conation. Laughing gulls contained slightly...

  20. Ann bay lodyans 2 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 2 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... Communication and Copyright. Please share your stories about how Open Access to this article benefits you. This is the published version of the book, made available with the permission of the publisher. Freeman, Bryant C., ed. Ann bay lodyans 2 / se Bryant...

  1. Ann bay lodyans 5 / se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 5 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... Communication and Copyright. Please share your stories about how Open Access to this article benefits you. This is the published version of the book, made available with the permission of the publisher. Freeman, Bryant C., ed. Ann bay lodyans 5 / se Bryant...

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

    E-Print Network [OSTI]

    Shenton, Edward Heriot

    1957-01-01T23:59:59.000Z

    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...

  3. Ann bay lodyans 15 / Se Bryant Freeman ("Tonton Liben") ki pare ti liv sa a

    E-Print Network [OSTI]

    Freeman, Bryant C.

    2000-01-01T23:59:59.000Z

    KU ScholarWorks | http://kuscholarworks.ku.edu Ann Bay Lodyans 15 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 Nouvl : Fondasyon Alfa Lws, 2000. Terms of Use: http://www2.ku.edu/~scholar/docs/license.shtml ANN BAY LODYANS15 Se Bryant Freeman...

  4. 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 ...

  5. IIT SCHOOL OF APPLIED TECHNOLOGY

    E-Print Network [OSTI]

    Heller, Barbara

    INDUSTRIAL TECHNOLOGY AND MANAGEMENT IIT SCHOOL OF APPLIED TECHNOLOGY PREPARING SKILLED INDIVIDUALS, INDUSTRIAL FACILITIES, SUPPLY CHAIN MANAGEMENT, SUSTAINABILITY AND MANUFACTURING TECHNOLOGY. #12;BE ONE to assess, implement, and utilize current technologies, and to learn how to manage industrial operations

  6. Sustainable FACULTY OF APPLIED SCIENCE

    E-Print Network [OSTI]

    Michelson, David G.

    Working Together Towards a Sustainable Energy Future FACULTY OF APPLIED SCIENCE Clean Energy aspects of sustainable energy solutions, and is committed to using its extensive expertise to serve, Electrical & Computer, Materials, Mechanical, Mining), the School of Architecture & Landscape Architecture

  7. Progress in Decommissioning the Humboldt Bay Power Plant - 13604

    SciTech Connect (OSTI)

    Rod, Kerry [PG and E Utility, Humboldt Bay Power Plant, 1000 King Salmon Ave. Eureka, CA 95503 (United States)] [PG and E Utility, Humboldt Bay Power Plant, 1000 King Salmon Ave. Eureka, CA 95503 (United States); Shelanskey, Steven K. [Anata Management Solutions, 5180 South Commerce Dr,, Suite F Murray, UT 84107 (United States)] [Anata Management Solutions, 5180 South Commerce Dr,, Suite F Murray, UT 84107 (United States); Kristofzski, John [CH2MHILL, 295 Bradley Blvd. Suite 300, Richland WA 99353 (United States)] [CH2MHILL, 295 Bradley Blvd. Suite 300, Richland WA 99353 (United States)

    2013-07-01T23:59:59.000Z

    Decommissioning of the Pacific Gas and Electric (PG and E) Company Humboldt Bay Power Plant (HBPP) Unit 3 nuclear facility has now, after more than three decades of SAFSTOR and initial decommissioning work, transitioned to full-scale decommissioning. Decommissioning activities to date have been well orchestrated and executed in spite of an extremely small work site with space constricted even more by other concurrent on-site major construction projects including the demolition of four fossil units, construction of a new generating station and 60 KV switchyard upgrade. Full-scale decommissioning activities - now transitioning from Plant Systems Removal (PG and E self-perform) to Civil Works Projects (contractor performed) - are proceeding in a safe, timely, and cost effective manner. As a result of the successful decommissioning work to date (approximately fifty percent completed) and the intense planning and preparations for the remaining work, there is a high level of confidence for completion of all HBPP Unit 3 decommissions activities in 2018. Strategic planning and preparations to transition into full-scale decommissioning was carried out in 2008 by a small, highly focused project team. This planning was conducted concurrent with other critical planning requirements such as the loading of spent nuclear fuel into dry storage at the Independent Spent Fuel Storage Installation (ISFSI) finishing December 2008. Over the past four years, 2009 through 2012, the majority of decommissioning work has been installation of site infrastructure and removal of systems and components, known as the Plant System Removal Phase, where work scope was dynamic with significant uncertainty, and it was self-performed by PG and E. As HBPP Decommissioning transitions from the Plant System Removal Phase to the Civil Works Projects Phase, where work scope is well defined, a contracting plan similar to that used for Fossil Decommissioning will be implemented. Award of five major work scopes in various stages of development are planned as they include: Turbine Building Demolition, Nuclear Facilities Demolition and Excavation, Intake and Discharge Canal Remediation, Office Facility Demobilization, and Final Site Restoration. Benefits realized by transitioning to the Civil Works Projects Phase with predominant firm fixed-price/fixed unit price contracting include single civil works contractor who can coordinate concrete shaving, liner removal, structural removal, and other demolition activities; streamline financial control; reduce PG and E overhead staffing; and provide a specialized Bidder Team with experience from other similar projects. (authors)

  8. 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

  9. 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

  10. CX-010574: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Applied Materials - Kerf-less Crystaline-Silicon Photovoltaic: Gas to Modules CX(s) Applied: B3.6 Date: 05162013 Location(s): California,...

  11. 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

  12. Hurricane Damage Sustained by the Oyster Industry and the Oyster Reefs Across the Galveston Bay System

    E-Print Network [OSTI]

    Hurricane Damage Sustained by the Oyster Industry and the Oyster Reefs Across the Galveston Bay., Russell J. Miget, and Lawrence L. Falconer. "Hurricane Damage Sustained by the Oyster Industry-1412. Tel: 361/265-9203, Fax: 361/265-9434, E-mail: l-falconer@tamu.edu. Hurricane Damage Sustained

  13. Growth and metal uptake of microalgae produced using salt groundwaters from the Bay of Bourgneuf

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Growth and metal uptake of microalgae produced using salt groundwaters from the Bay of Bourgneuf production of microalgae. Salt groundwaters, available in this region, support a large part of four microalgae grown in two salt groundwaters or in enriched coastal seawater. Cultures of microalgae

  14. 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

  15. NEAR-SURFACE HYDROLOGIC RESPONSE FOR A STEEP, UNCHANNELED CATCHMENT NEAR COOS BAY, OREGON: 2.

    E-Print Network [OSTI]

    Montgomery, David R.

    con- trolled sprinkling experiments at the Coos Bay 1 (CB1) experimental catchment in the Oregon Coast indicate that the 3D geometry and hydraulic characteris- tics of the layered geologic interfaces at CB1 can-rock hydraulic properties that preclude accurate fracture flow representation. Sensitivity analyses for the CB1

  16. Age of Pre-late-Wisconsin Glacial-Estuarine Sedimentation, Bristol Bay, Alaska

    E-Print Network [OSTI]

    Ingólfsson, ?lafur

    stimu- lated and thermoluminescence (IRSL and TL) techniques. Analy- sis of modern and 14 C-dated of northeastern Bristol Bay, southwestern Alaska, was dated using a variety of approaches, including infrared techniques. IRSL seems to be especially well suited for dating, with resolution on time scales of

  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 Ris National Laboratory, Wind Energy Department, Meteorology Program, VEA-118 Abstract Satellite remote sensing of ocean wind fields from Synthetic Aperture Radar (SAR) observations

  18. Development of an Autonomous Underwater Vehicle for Sub-Ice Environmental Monitoring in Prudhoe Bay, Alaska

    E-Print Network [OSTI]

    Wood, Stephen L.

    (Florida Tech). Of particular interest are the impacts of the construction of offshore gravel islands used sheet. This paper presents the overall design concept of the AUV, along with the design of the prototype, and software. INTRODUCTION In the Prudhoe Bay region of the Alaskan Beaufort Sea, oil drilling and exploration

  19. 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

  20. Long-Term Testing and Properties of Acrylic for the Daya Bay Antineutrino Detectors

    E-Print Network [OSTI]

    M. Krohn; B. R. Littlejohn; K. M. Heeger

    2012-06-09T23:59:59.000Z

    The Daya Bay reactor antineutrino experiment has recently measured the neutrino mixing parameter sin22{\\theta}13 by observing electron antineutrino disappearance over kilometer-scale baselines using six antineutrino detectors at near and far distances from reactor cores at the Daya Bay nuclear power complex. Liquid scintillator contained in transparent target vessels is used to detect electron antineutrinos via the inverse beta-decay reaction. The Daya Bay experiment will operate for about five years yielding a precision measurement of sin22{\\theta}13. We report on long-term studies of poly(methyl methacrylate) known as acrylic, which is the primary material used in the fabrication of the target vessels for the experiment's antineutrino detectors. In these studies, acrylic samples are subjected to gaseous and liquid environmental conditions similar to those experienced during construction, transport, and operation of the Daya Bay acrylic target vessels and detectors. Mechanical and optical stability of the acrylic as well as its interaction with detector liquids is reported.

  1. SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR

    E-Print Network [OSTI]

    Boyer, Edmond

    SHM BASED SYSTEM DESIGN OFA WIND TURBINE TOWER USING A MODAL SENSITIVITY BASED BAYES DETECTOR Mads@ramboll.com ABSTRACT It is investigated if material based structural safety can be replaced with safety obtained from of the NREL 5MW wind turbine tower subjected to bending fatigue and horizontal circumferential cracking

  2. Scientists side with Drakes Bay oyster farmer Peter Fimrite, Chronicle Staff Writer

    E-Print Network [OSTI]

    McLeod, Dennis

    and misrepresented facts in a series of reports about his Drakes Bay shellfish operation. The findings mark of health." #12;Lunny and others claim Jon Jarvis, the Pacific West regional director of the National Park Service, deliberately misrepresented data to bolster his own ideological agenda. Jarvis apologized Tuesday

  3. NOAA Technical Memorandum ERL GLERL-33 CATEGORIZATION OF NORTHERN GREEN BAY ICE COVER

    E-Print Network [OSTI]

    NOAA Technical Memorandum ERL GLERL-33 CATEGORIZATION OF NORTHERN GREEN BAY ICE COVER USING LANDSAT the group means for snow- covered ice (group 15). 4. Comparison of LANDSAT 1 band 4 and band 7 to illustrate the influence of water on the tone of ice cover. 5. Mean digital counts of training sets--bands 4, 5, 6, and 7

  4. Utilization of submerged aquatic vegetation habitats by fishes and decapods in the Galvestion Bay Ecosystem, Texas

    E-Print Network [OSTI]

    Scott, Elizabeth A.

    1998-01-01T23:59:59.000Z

    . . . MATERIALS AND METHODS. . . . . . Page tu Site Selection. . Sampling Design. . Sampling Procedures. Statistical Analysis. 4 5 6 7 RESULTS. . Fish and Decapod Abundance and Distribution... the importance of physical, environtnental and other biological variables for each habitat site in relation to faunal density. MATERIALS AND METHODS Site Selection Three areas (six sites) within the Galveston Bay complex (Figure 1) were selected based...

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

    E-Print Network [OSTI]

    Pondell, Christina

    2008-08-19T23:59:59.000Z

    profiles for lignin-derived biomarkers and stable carbon isotopes imply that the earthquake events did not disrupt the drainage basin of Simpson Bay enough to change the signatures of the organic matter deposited shortly after these occurrences. The OC, C...

  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.998 respectively. This is the first phase in the development of a tool to maximize total field oil production capacity and subsequent oil production. Figure 2 illustrates the range of daily average temperatures from

  7. Chesapeake Bay ecosystem modeling program. Technical synthesis report 1993-94

    SciTech Connect (OSTI)

    Brandt, S.B.; Boynton, W.R.; Kemp, W.M.; Wetzel, R.; Bartleson, R.

    1995-03-01T23:59:59.000Z

    ;Contents: Ecosystem models for management; Ecosystem regession models; Patuxent River Sav-Littoral Ecosystem Process Model; Lower Chesapeake Bay Polyhaline Sav Model; Emergent Intertidal Marsh Process Model; Plankton-Benthos Ecosystem Process Model; Fish Bioenergetics Models; Linking Water Quality with Fish Habitat; Data Visualization; Publications and Scientific Presentations Resulting From This Research.

  8. CRASSOSTREA ARIAKENSIS IN CHESAPEAKE BAY: GROWTH, DISEASE AND MORTALITY IN SHALLOW SUBTIDAL ENVIRONMENTS

    E-Print Network [OSTI]

    Paynter, Kennedy T.

    -salinity sites were located in the Choptank and Patuxent Rivers. The highest salinity site was located Bay. In Maryland, the lowest salinity site was located in the Severn River and two low to mid in the York River in Virginia. Growth, disease acquisition, and mortality were measured in the deployed

  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. Recent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula

    E-Print Network [OSTI]

    Kansas, University of

    that the glaciers accelerated following ice shelf removal, and have been thinning and losing mass to the ocean overRecent ice loss from the Fleming and other glaciers, Wordie Bay, West Antarctic Peninsula E. Rignot ice thickness data from 2002, reveal that the glaciers flowing into former Wordie Ice Shelf, West

  11. A Theory of Causal Learning in Children: Causal Maps and Bayes Nets Alison Gopnik

    E-Print Network [OSTI]

    Andrews, Peter B.

    . In this article, we outline one type of representation and several related types of learning mechanisms that may structure of the world, and the learning mechanisms involve a particularly powerful type of causal inferenceA Theory of Causal Learning in Children: Causal Maps and Bayes Nets Alison Gopnik University

  12. Habitat-Related Benthic Macrofaunal Assemblages of Bays and Estuaries of the Western United States

    E-Print Network [OSTI]

    , and sediment grain size, were identified: (A) Puget Sound fine sediment, (B) Puget Sound coarse sediment, (C and oligohaline. The Puget Sound, southern California, and San Francisco Bay assemblages were geographically to small spatial scale habitat heterogeneity and temporal change were both low in Puget Sound, but temporal

  13. 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

  14. Empirical Bayes for Learning to Learn Tom Heskes tom@mbfys.kun.nl

    E-Print Network [OSTI]

    Heskes, Tom

    mul titask learning, linking theoretical results to practical simulations. In our model all tasksEmpirical Bayes for Learning to Learn Tom Heskes tom@mbfys.kun.nl SNN, University of Nijmegen are combined in a single feedforward neu ral network. Learning is implemented in a Bayesian fashion

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

    E-Print Network [OSTI]

    Pillado, Maria C.

    2014-05-07T23:59:59.000Z

    A META-ANALYSIS OF MERCURY LEVELS IN LAVACA BAY TEXAS A Thesis by MARIA C. PILLADO Submitted to the Office of Graduate and Professional Studies of Texas A&M University and the Graduate Faculty of The Texas A&M University Corpus... Subject: Marine Biology Copyright 2014 Maria C. Pillado ...

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

    E-Print Network [OSTI]

    Yifang Wang

    2006-10-09T23:59:59.000Z

    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.

  17. Education Program for Improved Water Quality in Copano Bay Task Two Report

    E-Print Network [OSTI]

    Wagner, Kevin; Moench, Emily

    2009-01-01T23:59:59.000Z

    The Education Program for Improved Water Quality in Copano Bay is funded through a Clean Water Act 319(h) Nonpoint Source Grant from the Texas State Soil and Water Conservation Board (TSSWCB) and the U.S. Environmental Protection Agency (TSSWCB...

  18. Department of Mechanical Engineering Spring 2013 Lumax Lighting 2: LED Industrial High Bay Light Fixture

    E-Print Network [OSTI]

    Demirel, Melik C.

    PENNSTATE Department of Mechanical Engineering Spring 2013 Lumax Lighting 2: LED Industrial High Bay Light Fixture Overview The problem that our sponsor, Rich Taylor, presented to the team was to design a light fixture for an industrial setting using high power LED lights. The challenge

  19. 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.

  20. 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.

  1. Adaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem

    E-Print Network [OSTI]

    Lin, King-Ip "David"

    or linear programming do not work well for data with high level of noise. Moreover, our model aims at beingAdaptive Generalized Estimation Equation with Bayes Classifier for the Job Assignment Problem Yulan classifiers to enhance decisionmaking models for the job assignment problem. Adaptive Generalized Estimation

  2. Variation and Uncertainty in Evaporation from a Subtropical Estuary: Florida Bay

    E-Print Network [OSTI]

    Miami, University of

    Variation and Uncertainty in Evaporation from a Subtropical Estuary: Florida Bay RENE M. PRICE1 both vapor flux and energy budget methods. The results were placed into a long-term context using 33 the overall uncertainty in monthly evaporation, and ranged from 9% to 26%. Over a 33-yr period (1970

  3. Oxygen isotopic disequilibrium in plagioclasecorundumhercynite xenoliths from the Voisey's Bay Intrusion, Labrador, Canada

    E-Print Network [OSTI]

    Oxygen isotopic disequilibrium in plagioclasecorundumhercynite xenoliths from the Voisey's Bay to skeletal. Ion microprobe analyses indicate that oxygen isotopic equilibrium was neither established during corundum is characterized by 18 O values between 2.5 and 7.6. Oxygen isotopic equilibration with mantle

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

    E-Print Network [OSTI]

    Gilbert, Leslie Deanne

    2011-10-21T23:59:59.000Z

    ................... 21 II. 5. Distribution of V. parahaemolyticus tlh by A) fish length, B) sub-bay, and C) species of fish ................................................................................ 26 II. 6. Correlation of V. parahaemolyticus tlh... comparison .................................................... 19 II. 4. Kolmogorov-Smirnov results for V. vulnifiucs .......................................... 21 II. 5. ANOVA results for quantity of V. vulnifiucs versus length of fish...

  5. Geochemical responses in peat groundwater over Attawapiskat kimberlites, James Bay Lowlands, Canada and their application to

    E-Print Network [OSTI]

    Geochemical responses in peat groundwater over Attawapiskat kimberlites, James Bay Lowlands, Canada.sader@mmg.com) ABSTRACT: Peat groundwater compositions at depths of 0.4 and 1.1 m below ground surface in the Attawapiskat on hydrogeological measurements and variations in peat groundwater geochemical parameters (pH and EC are high

  6. Geochemistry of peat over kimberlites in the Attawapiskat area, James Bay Lowlands, northern Canada

    E-Print Network [OSTI]

    Geochemistry of peat over kimberlites in the Attawapiskat area, James Bay Lowlands, northern Canada by peatlands. Peat samples were examined in the Attawapiskat area, a region of discontinuous permafrost, where more than 19 kimberlite pipes have been found beneath a cover of peat (24 m thick) and Quaternary

  7. 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 referenced in the 12th century, but likely much older. The last known whereabouts of The Secret Book

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

    SciTech Connect (OSTI)

    Baring-Gould, I.

    2009-04-01T23:59:59.000Z

    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.

  9. Seismic Properties of Anita Bay Dunite: an Exploratory Study of the Influence of Water

    E-Print Network [OSTI]

    Seismic Properties of Anita Bay Dunite: an Exploratory Study of the Influence of Water YOSHITAKA As a pilot study of the role of water in the attenuation of seismic waves in the Earth's upper mantle, we have performed a series of seismic-frequency torsional forced-oscillation experiments on a natural

  10. 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 ocean wind maps were described. For offshore wind resource estimation based on satellite observations and the near-coastal zone (up to 40 km offshore) is not mapped. In contrast, Envisat ASAR wind maps can

  11. The School for Marine Science and The Heat Budget for Mt. Hope Bay

    E-Print Network [OSTI]

    Chen, Changsheng

    SMAST, UMassD SMAST Technical Report No. SMAST-03-0801 The School for Marine Science and Technology not hold during the summer, when heat losses due to tidal exchanges between MHB and NB/SR may be important-fuel-fired electrical generating facility at Brayton Point, Massachusetts, on the Mt. Hope Bay ecosystem. Recent studies

  12. Wind direction Charlotte Bay Hasager, Morten Nielsen and Merete Bruun Christiansen

    E-Print Network [OSTI]

    National Laboratory, Wind Energy Department, P.O.Box 49, DK-4000 Roskilde, Denmark, charlotte Energy Conference and Exhibition 2004 (EWEC 2004), London (UK), 22-25 Nov. 2004. 10 p. (accepted62 m 10 m Wind direction Charlotte Bay Hasager, Morten Nielsen and Merete Bruun Christiansen Ris

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

    SciTech Connect (OSTI)

    Kushman, Chris

    2014-02-03T23:59:59.000Z

    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 Energys Tribal Energy Program. This grant aimed to study select Bay Mills Indian Community community/government buildings to determine what is required to reduce each buildings 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 Communitys 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 projects feasibility study and resulting plan is intended to act as a guide to the Communitys 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.

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

    SciTech Connect (OSTI)

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

    2012-11-15T23:59:59.000Z

    San Francisco Bay (California, USA) and its local watersheds present an interesting case study in estuarine mercury (Hg) contamination. This review focuses on the most promising avenues for attempting to reduce methylmercury (MeHg) contamination in Bay Area aquatic food webs and identifying the scientific information that is most urgently needed to support these efforts. Concern for human exposure to MeHg in the region has led to advisories for consumption of sport fish. Striped bass from the Bay have the highest average Hg concentration measured for this species in USA estuaries, and this degree of contamination has been constant for the past 40 years. Similarly, largemouth bass in some Bay Area reservoirs have some of the highest Hg concentrations observed in the entire US. Bay Area wildlife, particularly birds, face potential impacts to reproduction based on Hg concentrations in the tissues of several Bay species. Source control of Hg is one of the primary possible approaches for reducing MeHg accumulation in Bay Area aquatic food webs. Recent findings (particularly Hg isotope measurements) indicate that the decades-long residence time of particle-associated Hg in the Bay is sufficient to allow significant conversion of even the insoluble forms of Hg into MeHg. Past inputs have been thoroughly mixed throughout this shallow and dynamic estuary. The large pool of Hg already present in the ecosystem dominates the fraction converted to MeHg and accumulating in the food web. Consequently, decreasing external Hg inputs can be expected to reduce MeHg in the food web, but it will likely take many decades to centuries before those reductions are achieved. Extensive efforts to reduce loads from the largest Hg mining source (the historic New Almaden mining district) are underway. Hg is spread widely across the urban landscape, but there are a number of key sources, source areas, and pathways that provide opportunities to capture larger quantities of Hg and reduce loads from urban runoff. Atmospheric deposition is a lower priority for source control in the Bay Area due to a combination of a lack of major local sources. Internal net production of MeHg is the dominant source of MeHg that enters the food web. Controlling internal net production is the second primary management approach, and has the potential to reduce food web MeHg in some habitats more effectively and within a much shorter time-frame. Controlling net MeHg production and accumulation in the food web of upstream reservoirs and ponds is very promising due to the many features of these ecosystems that can be manipulated. The most feasible control options in tidal marshes relate to the design of flow patterns and subhabitats in restoration projects. Options for controlling MeHg production in open Bay habitat are limited due primarily to the highly dispersed distribution of Hg throughout the ecosystem. Other changes in these habitats may also have a large influence on food web MeHg, including temperature changes due to global warming, sea level rise, food web alterations due to introduced species and other causes, and changes in sediment supply. Other options for reducing or mitigating exposure and risk include controlling bioaccumulation, cleanup of contaminated sites, and reducing other factors (e.g., habitat availability) that limit at-risk wildlife populations.

  15. Norphlet reservoir in Mobile Bay: Origins of deep porosity

    SciTech Connect (OSTI)

    Lock, B.E.; Broussard, S.W. (Univ. of Southwestern Louisiana, Lafayette (USA))

    1989-09-01T23:59:59.000Z

    The authors have applied thin section and SEM petrographic techniques in an attempt to understand better the erratic distribution of highly porous, reservoir quality sands (reservoir zone), and overlying tight, thoroughly cemented sands (tight zone) that together constitute the Norphlet Formation of Mary Ann field. Their conclusions are summarized.

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

    SciTech Connect (OSTI)

    Burman, K.; Kandt, A.; Lisell, L.; Booth, S.

    2012-05-01T23:59:59.000Z

    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. Lagrangian transport in a microtidal coastal area: the Bay of Palma, island of Mallorca, Spain

    E-Print Network [OSTI]

    Ismael Hernndez-Carrasco; Cristbal Lpez; Alejandro Orfila; Emilio Hernndez-Garca

    2013-11-05T23:59:59.000Z

    Coastal transport in the Bay of Palma, a small region in the island of Mallorca, Spain, is characterized in terms of Lagrangian descriptors. The data sets used for this study are the output for two months (one in autumn and one in summer) of a high resolution numerical model, ROMS, forced atmospherically and with a spatial resolution of 300 m. The two months were selected because its different wind regime, which is the main driver of the sea dynamics in this area. Finite-size Lyapunov Exponents (FSLEs) were used to locate semi-persistent Lagrangian coherent structures (LCS) and to understand the different flow regimes in the Bay. The different wind directions and regularity in the two months have a clear impact on the surface Bay dynamics, whereas only topographic features appear clearly in the bottom structures. The fluid interchange between the Bay and the open ocean was tudied by computing particle trajectories and Residence Times (RT) maps. The escape rate of particles out of the Bay is qualitatively different, with a 32$%$ more of escape rate of particles to the ocean in October than in July, owing to the different geometric characteristics of the flow. We show that LCSs separate regions with different transport properties by displaying spatial distributions of residence times on synoptic Lagrangian maps together with the location of the LCSs. Correlations between the time-dependent behavior of FSLE and RT are also investigated, showing a negative dependence when the stirring characterized by FSLE values moves particles in the direction of escape.

  18. 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

  19. APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING

    E-Print Network [OSTI]

    Rogina, Mladen

    APPLIED MATHEMATICS AND SCIENTIFIC COMPUTING Brijuni, Croatia June 23{27, 2003. y x Runge's example; Organized by: Department of Mathematics, Unversity of Zagreb, Croatia. Miljenko Maru#20;si#19;c, chairman;simir Veseli#19;c Andro Mikeli#19;c Sponsors: Ministry of Science and Technology, Croatia, CV Sistemi d

  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. California Energy Commission Apply Today!

    E-Print Network [OSTI]

    including HVAC and thermal energy storage system upgrades, stadium light conversion and a microturbineCalifornia Energy Commission Apply Today! "The College implemented all of the recommended projects Programs Office (916) 654-4147 pubprog@energy.state.ca.us "CEC financing allowed us to install many

  2. implementing bioenergy applied research & development

    E-Print Network [OSTI]

    Northern British Columbia, University of

    1 A Northern Centre for Renewable Energy implementing bioenergy applied research & development to develop local solutions to these challenges by integrating campus operations, education, and research will help the University meet its current and future energy needs, reduce or eliminate our greenhouse gas

  3. A comparison of physical characteristics between transplanted and natural Spartina alterniflora marshes in lower Galveston Bay, Texas

    E-Print Network [OSTI]

    Delaney, Timothy Patrick

    1994-01-01T23:59:59.000Z

    Five natural and ten transplanted Spartina alterniflora marshes in the Lower Galveston Bay System were compared to determine if there were significantly different physical characteristics associated with each type of marsh. The transplanted marshes...

  4. Numerical simulation of the thermal conditions in a sea bay water area used for water supply to nuclear power plants

    SciTech Connect (OSTI)

    Sokolov, A. S. [JSC 'B. E. Vedeneev All-Russia Research Institute of Hydraulic Engineering (VNIIG)' (Russian Federation)] [JSC 'B. E. Vedeneev All-Russia Research Institute of Hydraulic Engineering (VNIIG)' (Russian Federation)

    2013-07-15T23:59:59.000Z

    Consideration is given to the numerical simulation of the thermal conditions in sea water areas used for both water supply to and dissipation of low-grade heat from a nuclear power plant on the shore of a sea bay.

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

    E-Print Network [OSTI]

    Hyatt, Jason

    2006-01-01T23:59:59.000Z

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

  6. 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.

    1997-01-01T23:59:59.000Z

    '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...

  7. 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.

    2010-07-14T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Volberding, Peter

    2011-01-01T23:59:59.000Z

    vitality. Globalization and the Region The world economy,Bay Area economy has achieved a high level of globalizationglobalization, notes that the expansion and specialization of the global economy

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

    E-Print Network [OSTI]

    Pettijohn, Burkely Ashton

    2014-02-10T23:59:59.000Z

    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...

  10. Comparison of benthic macroinvertebrate assemblages associated with salt marshes in low and high salinity areas of Galveston Bay

    E-Print Network [OSTI]

    Pool, Suzan Samantha

    1999-01-01T23:59:59.000Z

    Two study areas in Galveston Bay, Texas were chosen to assess the species composition and abundance of benthic macroinvertebrates in salt marshes that are utilized by juvenile brown shrimp. The objectives of the study were to compare the benthic...

  11. Investigations on helminths from the hepatopancreas of the brown shrimp, Penaeus aztecus ives, from Galveston Bay, Texas

    E-Print Network [OSTI]

    Corkern, Clifton Clyde

    1970-01-01T23:59:59.000Z

    Zoidss fimbru'atws; and the nematode Comtrncaeowm habena ? from hepatopancreases of Psnasus azteous collected in Galveston Bay, Texas, extended three geographic ranges into the Northwestern Gulf and established two new host records. The study indicated that P...

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

    E-Print Network [OSTI]

    McCreery, Helen F

    2007-01-01T23:59:59.000Z

    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 ...

  13. 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

    2006-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Trefry, John Harold

    1974-01-01T23:59:59.000Z

    total of 123 sediment samples from 48 locations in the northwest Gulf of Mexico, including San Antonio Bay and the Mississippi River Delta, were acid leached and analyzed for iron, manganese, lead, zinc, cadmium, copper, and nickel by atomic... of the river mouths, also showed slightly higher than expected levels of nickel, lead, and cadmium. The proposition that shell dredging operations in the bay remobilize significant quantities of toxic metals and make them available to the biota of the area...

  15. A study of the Texas hard clam: distribution and growth of Mercenaria mercenaria texana in Texas bays

    E-Print Network [OSTI]

    Craig, M. Alison

    1985-01-01T23:59:59.000Z

    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...

  16. A simulation model of brown shrimp (Penaeus aztecus Ives) growth, movement, and survival in Galveston Bay, Texas

    E-Print Network [OSTI]

    George, Leroy Conrad

    1981-01-01T23:59:59.000Z

    ) population dynamics in Galveston Bay, Texas, is described and is used to evaluate the effects of environmental conditions and management alternatives on shrimp dynamics. The model is composed of stochastic submodels representing the (1) recruitment, (2... and Fischer 1967; Temple 1968). Gunter (1950), Kutkuhn (1962), and Berry and Baxter (1967) report mass recruitment of postlarvae into Galveston Bay, Texas, beginning in early to mid-March and as early as mid-January (King 1971), with a second and sometimes...

  17. A comprehensive approach for stimulating produced water injection wells at Prudhoe Bay, Alaska

    SciTech Connect (OSTI)

    Fambrough, J.D.; Lane, R.H.; Braden, J.C.

    1995-11-01T23:59:59.000Z

    The paper presents a three-component approach to removing damage from produced water injection wells of Prudhoe Bay Field, Alaska: (1) identification of plugging material, (2) evaluation and selection of potential treatment chemicals, and (3) design and implementation of a well treatment and placement method. Plugging material was sampled anaerobically and kept frozen prior to identification and evaluation. Appropriate treatment chemicals were determined through a series of solvation, filtration, and weight-loss tests. Field treatments were designed so that the treating chemicals entered the formation under normal operating conditions, i.e., at pressures and rates similar to those present during produced water injection. A number of treatments improved injection rates and profiles, but continued injection of oil and solids-laden water caused deterioration of well performance at rates that precluded general application of the treatment at Prudhoe Bay.

  18. Design, characterization, and sensitivity of the supernova trigger system at Daya Bay

    E-Print Network [OSTI]

    Wei, Hanyu; Li, Fei; Wang, Zhe; Chen, Shaomin

    2015-01-01T23:59:59.000Z

    Providing an early warning of galactic supernova explosions from neutrino signals is important in studying supernova dynamics and neutrino physics. A dedicated supernova trigger system has been designed and installed in the data acquisition system at Daya Bay and integrated into the worldwide Supernova Early Warning System (SNEWS). Daya Bay's unique feature of eight identically-designed detectors deployed in three separate experimental halls makes the trigger system naturally robust against cosmogenic backgrounds, enabling a prompt analysis of online triggers and a tight control of the false-alert rate. The trigger system is estimated to be fully sensitive to 1987A-type supernova bursts throughout most of the Milky Way. The significant gain in sensitivity of the eight-detector configuration over a mass-equivalent single detector is also estimated. The experience of this online trigger system is applicable to future projects with spatially distributed detectors.

  19. Mobile Bay gas flow rising in response to E D campaigns

    SciTech Connect (OSTI)

    Koen, A.D.

    1994-01-10T23:59:59.000Z

    Mobile Bay is fulfilling its early promise as a major US offshore gas play, nearly a quarter century after Alabama issued the first offshore leases in the area. Mobile Bay gas flow began gaining momentum in 1992, when operators in state water produced a little more than 306 MMcfd of Norphlet and Miocene gas. Alabama's offshore gas production in 1991 fell just short of 90 MMcfd, up from about 26 MMcfd in 1988. Early estimates place the state's year end 1993 offshore gas production at more than 600 MMcfd. Also at year end, major company gas plants in Mobile County, Ala., were treating more than 700 MMcfd of gas, up from 400--450 MMcfd at the beginning of the year. The paper discusses Exxon production, other major companies, Mobil's Norphlet expansions, pipeline infrastructure, federal Norphlet discoveries, Chevron's Norphlet outlook, Tenneco gathering line, gathering flexibility, Miocene gas producers, Dauphin Island Gathering System development and growth, and new Miocene producers.

  20. Design, characterization, and sensitivity of the supernova trigger system at Daya Bay

    E-Print Network [OSTI]

    Hanyu Wei; Logan Lebanowski; Fei Li; Zhe Wang; Shaomin Chen

    2015-05-11T23:59:59.000Z

    Providing an early warning of galactic supernova explosions from neutrino signals is important in studying supernova dynamics and neutrino physics. A dedicated supernova trigger system has been designed and installed in the data acquisition system at Daya Bay and integrated into the worldwide Supernova Early Warning System (SNEWS). Daya Bay's unique feature of eight identically-designed detectors deployed in three separate experimental halls makes the trigger system naturally robust against cosmogenic backgrounds, enabling a prompt analysis of online triggers and a tight control of the false-alert rate. The trigger system is estimated to be fully sensitive to 1987A-type supernova bursts throughout most of the Milky Way. The significant gain in sensitivity of the eight-detector configuration over a mass-equivalent single detector is also estimated. The experience of this online trigger system is applicable to future projects with spatially distributed detectors.

  1. Chesapeake Bay citizen monitoring program report: Conestoga River (October 1986-June 1990)

    SciTech Connect (OSTI)

    Not Available

    1992-03-01T23:59:59.000Z

    The Alliance for the Chesapeake Bay, Inc. (ACB) began a pilot water quality testing project using volunteers in July 1985 as one of the activities funded under its Chesapeake Bay Program public participation grant from USEPA. This initial project was carried out in the tidal portions of the James River in Virginia and the Patuxent River in Maryland. The major objective of the Conestoga River Citizen Monitoring Project is to track concentration of nitrate in the ambient waters of the Conestoga River with the intent of answering the questions: (1) Has the level of nitrate in the river changed over time; and (2) Is there a downward trend in observed nitrate. The report summarizes the water quality data collected by the Conestoga River volunteer monitors with particular emphasis on the concentration of nitrate.

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

    E-Print Network [OSTI]

    Mahmoud, Joey

    1996-01-01T23:59:59.000Z

    Bay Foundation's Seed Project in Baytown, Texas. At this location, the Foundation has a control pond where they grow cordgrass &om seedlings to mature plants ready for use in the Foundation's restoration sites. My internship study area was located... to be implemented to effectively establish the marsh vegetation and hydrology needed to start the process of restoring the wetlands. The types of vegetation used to restore the areas were mainly Spartina alrerniflora and Scirpus robosrus plants. Both...

  3. The biology of free-ranging grass carp in East Texas river and bay systems

    E-Print Network [OSTI]

    Elder, Howard Stanton

    1994-01-01T23:59:59.000Z

    . 1989). During the same period, reports of illegal introductions of grass carp into private waters were received by TPWD biologists. From 1982 to 1989, grass carp were captured in the waters of the San Jacinto River, Trinity River, Cedar Bayou..., Galveston Bay, Spring Bayou, and Lake Houston (Trimm et al. 1989). Although the exact source(s) of these fish is unknown, possible sources include Lake Conroe, illegal introductions, or natural reproduction of escaped fish. Noble et al. (1986), in a...

  4. 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

    2011-03-30T23:59:59.000Z

    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.

  5. Applying to Teacher Education Program at Purdue

    E-Print Network [OSTI]

    David Drasin

    2012-12-02T23:59:59.000Z

    Apply to the Teacher Education Program (TEP). Please remember to apply to the TEP(Gate A) if you wish to officially enroll in the. Professional Education...

  6. Data processing and storage in the Daya Bay Reactor Antineutrino Experiment

    E-Print Network [OSTI]

    He, Miao

    2015-01-01T23:59:59.000Z

    The Daya Bay Reactor Antineutrino Experiment reported the first observation of the non-zero neutrino mixing angle $\\theta_{13}$ using the first 55 days of data. It has also provided the most precise measurement of $\\theta_{13}$ with the extended data to 621 days. Daya Bay will keep running for another 3 years or so. There is about 100 TB raw data produced per year, as well as several copies of reconstruction data with similar volume to the raw data for each copy. The raw data is transferred to Daya Bay onsite and two offsite clusters: IHEP in Beijing and LBNL in California, with a short latency. There is quasi-real-time data processing at both onsite and offsite clusters, for the purpose of data quality monitoring, detector calibration and preliminary data analyses. The physics data production took place a couple of times per year according to the physics analysis plan. This paper will introduce the data movement and storage, data processing and monitoring, and the automation of the calibration.

  7. Model for isopaching Jurassic-age Norphlet Formation in Mobile Bay, Alabama area

    SciTech Connect (OSTI)

    Torres, L.F.

    1989-03-01T23:59:59.000Z

    Deep gas was discovered in the Norphlet Sandstone of Mobile Bay Alabama in 1979. Sixteen wells, of which Exxon Company, U.S.A. has had an interest in eight, have tested gas from depths greater than 20,000 ft and at an average rate of 19 million ft/sub 3/ of gas per day. The dominant structural features in Mobile Bay are large east-west-trending salt-supported anticlines associated with salt pull-apart listric normal faulting. Throws on these faults measure up to 1000 ft. Individual structures have dimensions as large as 15 mi in an east-west strike direction and 8 mi in a north-south dip direction. The Jurassic age (Callovian) Norphlet of Mobile Bay is characterized by eolian dune sand deposits up to 700 ft thick. An important factor affecting future development drilling is the accurate prediction of reservoir thickness. This presentation shows that an integrated study of seismic and well data has facilitated the development of a geological model for isopaching the Norphlet Formation. The isopach exhibits a strong north-northwest-south-southeast orientation of parallel thicks and thins. These trends are believed to be the result of original eolian deposition of complex linear dunes in the Norphlet Sandstone. The major east-west structural grain of faults and anticlines overprints this preserved depositional trend.

  8. Applied Materials | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia: Energy Resources JumpAnaconda,Anza ElectricInc Jump to:Applied

  9. 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

    2009-01-01T23:59:59.000Z

    Gammon, Rovert. 2009. Sierra Water Grab. East Bay Express,www.eastbayexpress.com/news/sierra_water_grab/Content? oid=UCB: 1070. Maddaus Water Management. Conservation

  10. 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

    2007-03-01T23:59:59.000Z

    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.

  11. CX-012313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Chicago Office Technical Support Services Contract CX(s) Applied: A8 Date: 06/13/2014 Location(s): CX: none Offices(s): Chicago Office

  12. 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

  13. CX-010367: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Asbestos Abatement Actions CX(s) Applied: B1.16 Date: 11/19/2012 Location(s): Tennessee, California, Virginia Offices(s): Berkeley Site Office

  14. 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

  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-001373: Categorical Exclusion Determination | Department of...

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

    Analytical Development Tritium Support Laboratory for Mass Spectroscopy, Infrared Spectroscopy, and Raman CX(s) Applied: B3.6 Date: 03102010 Location(s): Aiken,...

  17. CX-004196: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-004196: Categorical Exclusion Determination Infrared and Raman Spectroscopy of Biological Safety Level-1 Biological Samples CX(s) Applied:...

  18. CX-000331: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000331: Categorical Exclusion Determination Kentucky Revision 2 - Commercial Office Building Retrofit Showcase CX(s) Applied: B1.4, B1.5,...

  19. CX-003518: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003518: Categorical Exclusion Determination Energy from Biomass Research and Technology Transfer Program CX(s) Applied: B3.6 Date: 08232010...

  20. CX-012089: Categorical Exclusion Determination | Department of...

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

    CX-012089: Categorical Exclusion Determination Wood Pole Testing for 20 Transmission Lines in Southern Arizona and Southern California CX(s) Applied: B3.1 Date: 04172014...

  1. CX-000815: Categorical Exclusion Determination | Department of...

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

    0815: Categorical Exclusion Determination CX-000815: Categorical Exclusion Determination Hydrogen Technology Laboratory 140 - Chromatography, Wet Laboratory CX(s) Applied: B3.6...

  2. CX-009005: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Henderson Solar Energy Project CX(s) Applied: B5.16 Date: 08/22/2012 Location(s): Nevada Offices(s): Golden Field Office

  3. CX-011116: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Sunpath SANFAB CX(s) Applied: B5.16 Date: 08/09/2013 Location(s): Nevada Offices(s): Golden Field Office

  4. 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

  5. CX-005151: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005151: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Wyoming CX(s) Applied: A9, A11...

  6. CX-005154: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005154: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - University of Kentucky CX(s) Applied: A9, A11,...

  7. CX-005159: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005159: Categorical Exclusion Determination United States-China Advanced Coal Technologies Consortium - Indiana Geological Survey CX(s) Applied: A9,...

  8. CX-008691: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Mason Substation Metering Replacement Project CX(s) Applied: B1.7 Date: 06/25/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  9. CX-011237: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Lightspeed Networks Inc. Fiber Installation CX(s) Applied: B4.9 Date: 10/24/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. CX-006471: Categorical Exclusion Determination | Department of...

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

    CX-006471: Categorical Exclusion Determination Air Awareness Campaign Electric Car Charging Station CX(s) Applied: B5.1 Date: 08042011 Location(s): Greenville, South...

  11. CX-000903: Categorical Exclusion Determination | Department of...

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

    903: Categorical Exclusion Determination CX-000903: Categorical Exclusion Determination Smart Grid Photovoltaic Pilot CX(s) Applied: B5.1 Date: 02242010 Location(s): Illinois...

  12. CX-012015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-012015: Categorical Exclusion Determination Enhanced Wind Resource Assessment with Sonic Ranging and Detection at Tooele Army Depot CX(s) Applied:...

  13. CX-012110: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Defense Logistics Agency, Tracy, California, Wind Resource Assessment CX(s) Applied: A9, B3.1 Date: 05072014 Location(s): California...

  14. CX-002753: Categorical Exclusion Determination | Department of...

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

    Determination CX-002753: Categorical Exclusion Determination Gilt Edge Mine Wind Resource Assessment CX(s) Applied: B3.1 Date: 06212010 Location(s): Deadwood, South...

  15. CX-002823: Categorical Exclusion Determination | Department of...

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

    CX-002823: Categorical Exclusion Determination Nebraska College of Technical Agriculture Biomass Facility CX(s) Applied: B5.1 Date: 06242010 Location(s): Curtis, Nebraska...

  16. 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

  17. 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

  18. CX-008797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coal Pile Basin Project CX(s) Applied: B1.29 Date: 06/04/2012 Location(s): Tennessee Offices(s): Y-12 Site Office

  19. CX-010590: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Kalispell Shunt Cap Addition Project CX(s) Applied: B4.11 Date: 07/01/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  20. CX-008234: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Whole Energy Glycerin Refinery CX(s) Applied: B5.15 Date: 04/20/2012 Location(s): Washington Offices(s): Golden Field Office

  1. 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

  2. CX-012724: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Test Reactor (ATR) Electronic Message Board Installation CX(s) Applied: B1.7Date: 41830 Location(s): IdahoOffices(s): Nuclear Energy

  3. CX-002964: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-002964: Categorical Exclusion Determination Wind Energy and Sustainable Energy Solutions CX(s) Applied: B3.11, A9 Date: 07092010...

  4. CX-005201: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern Nevada CX(s) Applied: A9,...

  5. CX-003507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination State Energy Program American Recovery and Reinvestment Act: Solar Power Incorporated Photovoltaic Panel Manufacturing Facility CX(s) Applied: B1.31,...

  6. 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

  7. CX-011368: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    High Temperature Thermal Properties CX(s) Applied: B1.31 Date: 10/23/2013 Location(s): Idaho Offices(s): Idaho Operations Office

  8. CX-011798: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Analytical Physics - Thermal Analysis CX(s) Applied: B3.6 Date: 01/30/2014 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  9. CX-001724: Categorical Exclusion Determination | Department of...

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

    CX-001724: Categorical Exclusion Determination Recovery Act City of Boise Energy Efficiency and Conservation Block Grant (EECBG) CX(s) Applied: B5.1 Date: 04122010...

  10. 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:...

  11. 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

  12. 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

  13. CX-009465: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  14. CX-009462: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  15. CX-011295: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011295: Categorical Exclusion Determination Material Dynamics and Kinetics Lab CX(s) Applied: B3.6 Date: 10172013 Location(s): Pennsylvania...

  16. CX-009463: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics Beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: B3.6 Date: 10182012...

  17. CX-009464: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Temporal Characterization of Hydrates System Dynamics beneath Seafloor Mounds: Integrating Time-Lapse CX(s) Applied: A9, A11 Date: 1018...

  18. 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

  19. CX-008215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Small Hydropower Research and Development Technology Project CX(s) Applied: A9 Date: 04/03/2012 Location(s): Colorado Offices(s): Golden Field Office

  20. CX-011535: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    East Grangeville Substation Sale CX(s) Applied: B1.24 Date: 11/14/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  1. CX-012233: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Shed Acquisition at Kalispell Substation CX(s) Applied: B1.24 Date: 06/09/2014 Location(s): Montana Offices(s): Bonneville Power Administration

  2. CX-012622: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace roofing system at 702-F CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  3. CX-012621: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Replace 730-2B Roof CX(s) Applied: B1.3Date: 41799 Location(s): South CarolinaOffices(s): Savannah River Operations Office

  4. 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

  5. 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

  6. 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:...

  7. 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

  8. 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

  9. CX-010581: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Little Shell Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  10. CX-011252: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011252: Categorical Exclusion Determination Concentrating Solar Power Heat Integration for Baseload Renewable Energy Deployment CX(s) Applied: A9...

  11. CX-004374: Categorical Exclusion Determination | Department of...

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

    74: Categorical Exclusion Determination CX-004374: Categorical Exclusion Determination Solar Electric Power for Nonsectarian Educational and Social CX(s) Applied: A9, B5.1 Date:...

  12. CX-011391: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-011391: Categorical Exclusion Determination Municipal Complex Solar Power Project CX(s) Applied: B3.14 Date: 12102013 Location(s): New Jersey...

  13. CX-008507: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-008507: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Phase Three CX(s) Applied: B3.1, B5.3 Date: 07162012...

  14. CX-007111: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007111: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project (Iatan Generating Station) CX(s) Applied: B3.1...

  15. CX-008476: Categorical Exclusion Determination | Department of...

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

    CX-008476: Categorical Exclusion Determination Small Scale Field Test Demonstrating Carbon Dioxide Sequestration in the Arbuckle Saline Aquifer CX(s) Applied: A9, B1.15,...

  16. CX-007118: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007118: Categorical Exclusion Determination Shallow Carbon Sequestration Demonstration Project CX(s) Applied: B3.1 Date: 10042011...

  17. CX-009326: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009326: Categorical Exclusion Determination Midwest Regional Carbon Sequestration Partnership - Subtask 1.7 CX(s) Applied: B3.1 Date: 09282012...

  18. CX-000591: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination 25A2936 - Carbon Nanotube Membranes for Energy-Efficient Carbon Sequestration CX(s) Applied: B3.6 Date: 12152009 Location(s): California...

  19. CX-003037: Categorical Exclusion Determination | Department of...

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

    Determination CX-003037: Categorical Exclusion Determination Mercury Removal from Clean Coal Processing Air Stream CX(s) Applied: B3.6 Date: 07132010 Location(s): Butte,...

  20. 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

  1. 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

  2. CX-011115: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Realization of Algae Potential CX(s) Applied: A9 Date: 08/29/2013 Location(s): New Mexico Offices(s): Golden Field Office

  3. CX-007844: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Energy Retrofits CX(s) Applied: B5.1 Date: 12/01/2011 Location(s): Rhode Island Offices(s): Energy Efficiency and Renewable Energy

  4. CX-007689: Categorical Exclusion Determination | Department of...

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

    Tech Research Corporation- Prosumer-Based Distributed Autonomous Cyber-Physical Architecture for Ultra-Reliable Green Electricity Internetworks CX(s) Applied: A9 Date: 1118...

  5. CX-000734: Categorical Exclusion Determination | Department of...

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

    CX-000734: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Stillwater, Oklahoma Office(s):...

  6. CX-000733: Categorical Exclusion Determination | Department of...

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

    CX-000733: Categorical Exclusion Determination Detection and Production of Methane Hydrates CX(s) Applied: A9 Date: 01222010 Location(s): Austin, Texas Office(s): Fossil...

  7. CX-010941: Categorical Exclusion Determination | Department of...

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

    CX-010941: Categorical Exclusion Determination Assessing the Response of Methane Hydrates to Environmental Change at the Svalbard Continental Margin CX(s) Applied: B3.6,...

  8. CX-007388: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-007388: Categorical Exclusion Determination Regional Test Center Project: Solar Technology Acceleration Center (SolarTAC) CX(s) Applied: B1.15,...

  9. CX-012245: Categorical Exclusion Determination | Department of...

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

    5: Categorical Exclusion Determination CX-012245: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Carnegie Mellon CX(s) Applied: A9 Date:...

  10. CX-012253: Categorical Exclusion Determination | Department of...

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

    3: Categorical Exclusion Determination CX-012253: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - OSU CX(s) Applied: A9 Date: 05272014...

  11. CX-012252: Categorical Exclusion Determination | Department of...

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

    2: Categorical Exclusion Determination CX-012252: Categorical Exclusion Determination Hydro Research Foundation University Research Awards- Cornell CX(s) Applied: A9, B3.16 Date:...

  12. CX-012254: Categorical Exclusion Determination | Department of...

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

    4: Categorical Exclusion Determination CX-012254: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - Vanderbilt CX(s) Applied: A9 Date: 05...

  13. CX-003904: Categorical Exclusion Determination | Department of...

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

    904: Categorical Exclusion Determination CX-003904: Categorical Exclusion Determination Hydro Electric Project - Snohomish Public Utility District CX(s) Applied: A9, A11, B5.1...

  14. CX-012246: Categorical Exclusion Determination | Department of...

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

    6: Categorical Exclusion Determination CX-012246: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - University of Tennessee CX(s) Applied:...

  15. CX-012241: Categorical Exclusion Determination | Department of...

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

    1: Categorical Exclusion Determination CX-012241: Categorical Exclusion Determination Hydro Research Foundation University Research Awards - MIT CX(s) Applied: A9, B3.6 Date: 06...

  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. 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

  18. CX-009542: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Parks Project CX(s) Applied: B5.16 Date: 11/09/2012 Location(s): Florida Offices(s): Golden Field Office

  19. CX-003403: Categorical Exclusion Determination | Department of...

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

    CX-003403: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: A9, B3.7...

  20. CX-002745: Categorical Exclusion Determination | Department of...

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

    CX-002745: Categorical Exclusion Determination The Snake River Geothermal Drilling Project - Innovative Approaches to Geothermal Exploration CX(s) Applied: B3.1, A9...

  1. CX-006681: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006681: Categorical Exclusion Determination New Drilling Location in Section 29 CX(s) Applied: B3.1 Date: 12232009 Location(s): Casper,...

  2. CX-006682: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-006682: Categorical Exclusion Determination New Drilling Location in Section 29 (Revision 1) CX(s) Applied: B3.7 Date: 06022010 Location(s):...

  3. CX-008486: Categorical Exclusion Determination | Department of...

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

    CX-008486: Categorical Exclusion Determination Demonstration of Gas Powered Drilling Operations for Economically-Challenged Wellhead Gas and Evaluation CX(s) Applied:...

  4. CX-007941: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: A9 Date: 02152012 Location(s): Texas...

  5. CX-003888: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003888: Categorical Exclusion Determination Improved Drilling and Fracturing Fluids for Shale Gas Reservoirs CX(s) Applied: B3.6 Date: 09102010...

  6. CX-007940: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Zonal Isolation Improvement for Horizontal Wells Drilling in the Marcellus Shale CX(s) Applied: B3.6 Date: 02152012 Location(s): Texas...

  7. CX-005582: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Foro Energy, Incorporated - Low-Contact Drilling Technology to Enable Economical Enhance Geothermal System Wells CX(s) Applied: B3.6,...

  8. CX-000855: Categorical Exclusion Determination | Department of...

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

    Determination CX-000855: Categorical Exclusion Determination 25A5208 - Low-contact Drilling Technology to Enable Economical Engineered Geothermal System Wells CX(s) Applied:...

  9. CX-008876: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Railroad Island Property Funding CX(s) Applied: B1.25 Date: 08/23/2012 Location(s): Oregon Offices(s): Bonneville Power Administration

  10. 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

  11. CX-010739: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Golden State Solar Impact CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): California Offices(s): Golden Field Office

  12. CX-011044: Categorical Exclusion Determination | Department of...

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

    CX-011044: Categorical Exclusion Determination High Hydrogen, Low Methane Syngas from Low Ranked Coals for Coal-to-Liquids Production CX(s) Applied: A9 Date: 0910...

  13. CX-010751: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Solar Ready 2 CX(s) Applied: A9, A11 Date: 08/15/2013 Location(s): Missouri Offices(s): Golden Field Office

  14. CX-004015: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-004015: Categorical Exclusion Determination Arizona Balance of State- Energy Efficiency and Conservation Block Grant Wickenburg CX(s) Applied:...

  15. CX-009555: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-009555: Categorical Exclusion Determination Assisting the Tooling and Machining Industry to Become Energy Efficient CX(s) Applied: A9 Date: 12102012...

  16. CX-000835: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-000835: Categorical Exclusion Determination Wachs Cutter Tooling Station (4495) CX(s) Applied: B1.31 Date: 02112010 Location(s): Oak Ridge,...

  17. 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

  18. CX-010338: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Eugene Substation Fiber Interconnection CX(s) Applied: B4.7 Date: 05/21/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  19. CX-011531: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Targhee Substation Land Acquisition CX(s) Applied: B1.24 Date: 11/05/2013 Location(s): Idaho Offices(s): Bonneville Power Administration

  20. CX-010435: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    De Moss Substation Expansion CX(s) Applied: B4.6 Date: 06/03/2013 Location(s): Oregon Offices(s): Bonneville Power Administration

  1. CX-011384: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Advanced Controls for the Multi-pod Centipod Wave Energy Converter Device CX(s) Applied: A9 Date: 12022013 Location(s): California...

  2. CX-011537: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Wanacut Creek Upper Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  3. CX-011538: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Ninemile Creek Lower Property Funding CX(s) Applied: B1.25 Date: 11/26/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  4. CX-011536: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Aeneans Creek Spring Property Funding CX(s) Applied: B1.25 Date: 11/25/2013 Location(s): Washington Offices(s): Bonneville Power Administration

  5. CX-011416: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 12/19/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  6. CX-010778: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11 Date: 08/23/2013 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  7. CX-012472: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Technology Integration Program CX(s) Applied: A9, A11, B3.11Date: 41873 Location(s): OhioOffices(s): National Energy Technology Laboratory

  8. CX-012038: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Deepwater Reverse-Circulation Primary Cementing CX(s) Applied: A9 Date: 04/17/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  9. CX-010582: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Spring Creek Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  10. CX-003706: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination Development and Demonstration of an Innovative Thermal Energy Storage System for Baseload Solar Power Generation CX(s) Applied: A9, B3.6...

  11. CX-004217: Categorical Exclusion Determination | Department of...

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

    Replacement Facets for Central Receiver Test Facility Heliostats at the National Solar Thermal Test Facility (American Recovery and Reinvestment Act Funded) CX(s) Applied:...

  12. CX-003222: Categorical Exclusion Determination | Department of...

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

    and Reinvestment Act State Energy Program - Eastern Oregon Correctional Institution Solar Thermal CX(s) Applied: B5.1 Date: 08032010 Location(s): Pendleton, Oregon...

  13. CX-004251: Categorical Exclusion Determination | Department of...

    Energy Savers [EERE]

    CX-004251: Categorical Exclusion Determination High Yield Hybrid Cellulosic Ethanol Process Using High-Impact Feedstock for Commercialization by 2013 CX(s) Applied: A9,...

  14. CX-003208: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003208: Categorical Exclusion Determination Michigan 85% Ethanol Fuel (E85) Infrastructure Project CX(s) Applied: B5.1 Date: 08032010 Location(s):...

  15. CX-003471: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-003471: Categorical Exclusion Determination Pennsylvania Ethanol Fuel (E85) Corridor Project - Lew's Service Center CX(s) Applied: B5.1 Date: 0823...

  16. CX-011215: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Nepese Marsh Upgrades CX(s) Applied: B2.5 Date: 10/17/2013 Location(s): Illinois Offices(s): Fermi Site Office

  17. 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

  18. 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

  19. 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

  20. 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

  1. 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

  2. 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

  3. 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

  4. CX-010583: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Upper Jocko River Property Funding CX(s) Applied: B1.25 Date: 07/16/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  5. CX-007925: Categorical Exclusion Determination | Department of...

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

    Determination CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02222012 Location(s):...

  6. CX-006048: Categorical Exclusion Determination | Department of...

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

    Determination CX-006048: Categorical Exclusion Determination Severe Environmental Corrosion & Erosion Research Facility (SECERF) CX(s) Applied: B3.6 Date: 06082011...

  7. CX-006395: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006395: Categorical Exclusion Determination Corrosion Tests on Carbon Steel Exposed to Oxalic Acid and a Sludge Simulant CX(s) Applied:...

  8. CX-005801: Categorical Exclusion Determination | Department of...

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

    Determination CX-005801: Categorical Exclusion Determination Polymer Synthesis, Corrosion, and Electrochemical Tests in Lab D-0115 CX(s) Applied: B3.6 Date: 03312011...

  9. CX-006043: Categorical Exclusion Determination | Department of...

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

    Categorical Exclusion Determination CX-006043: Categorical Exclusion Determination CorrosionElectrochemistry Laboratory CX(s) Applied: B3.6 Date: 06082011 Location(s):...

  10. CX-005861: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-005861: Categorical Exclusion Determination Pretreatment Engineering Platform (PEP) Sludge Simulant Preparation CX(s) Applied: B3.6 Date: 03172011...

  11. CX-011131: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Puget Sound Pilot Tidal Energy Project CX(s) Applied: A9 Date: 08/13/2013 Location(s): Washington Offices(s): Golden Field Office

  12. CX-012195: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Alfalfa Substation Control House Replacement CX(s) Applied: B4.11 Date: 05/02/2014 Location(s): Washington Offices(s): Bonneville Power Administration

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. CX-002138: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-002138: Categorical Exclusion Determination Waste Digester Biogas Recovery System CX(s) Applied: B5.1 Date: 04292010 Location(s): Plover, Wisconsin...

  19. CX-005444: Categorical Exclusion Determination | Department of...

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

    Exclusion Determination Energy Efficiency and Conservation Block Grant: Electric and Hybrid Vehicle Incremental Cost Recovery CX(s) Applied: B5.1 Date: 03222011 Location(s):...

  20. 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