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Sample records for determination modeling wildlife

  1. California Department of Fish and Wildlife Consistency Determination...

    Open Energy Info (EERE)

    California Department of Fish and Wildlife Consistency Determination Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: California Department of...

  2. wildlife

    National Nuclear Security Administration (NNSA)

    between Pantex, West Texas A&M University, and the U.S. Geological Survey's Fish and Wildlife Research Unit at Texas Tech University.

     

  3. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling...

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

    Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data The Wind Program hosted a...

  4. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and

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

    Data | Department of Energy Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. PDF icon Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to

  5. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling...

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

    Energy Management Scott Johnston U.S. Fish and Wildlife Service Brian Kinlan ... Division of Migratory Bird Management U.S. Fish & Wildlife Service Daniel Martin I.M. ...

  6. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication

    Energy Savers [EERE]

    July 24-25, 2012 July 2013 Final Report Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication July 24 - 25, 2012 Silver Spring, Maryland Workshop and report sponsored by the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Wind and Water Power Technologies Office Publication Date: July 2013 Jocelyn Brown-Saracino 1 , Courtney Smith 2 , and Patrick Gilman 3 New West Technologies 1 Wind and Water Power

  7. Protecting Wildlife

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

    Protecting Wildlife Protecting Wildlife We monitor and protect the wildlife and their habitats on Laboratory property. February 2, 2015 Mule deer on LANL property LANL has been home to mule deer since its creation in 1942 and has seasonally been home to elk since their reintroduction to New Mexico in the 1960s. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email Protecting our wildlife Since the early 1940s, LANL's

  8. A Habitat-based Wind-Wildlife Collision Model with Application to the Upper Great Plains Region

    SciTech Connect (OSTI)

    Forcey, Greg, M.

    2012-08-28

    Most previous studies on collision impacts at wind facilities have taken place at the site-specific level and have only examined small-scale influences on mortality. In this study, we examine landscape-level influences using a hierarchical spatial model combined with existing datasets and life history knowledge for: Horned Lark, Red-eyed Vireo, Mallard, American Avocet, Golden Eagle, Whooping Crane, red bat, silver-haired bat, and hoary bat. These species were modeled in the central United States within Bird Conservation Regions 11, 17, 18, and 19. For the bird species, we modeled bird abundance from existing datasets as a function of habitat variables known to be preferred by each species to develop a relative abundance prediction for each species. For bats, there are no existing abundance datasets so we identified preferred habitat in the landscape for each species and assumed that greater amounts of preferred habitat would equate to greater abundance of bats. The abundance predictions for bird and bats were modeled with additional exposure factors known to influence collisions such as visibility, wind, temperature, precipitation, topography, and behavior to form a final mapped output of predicted collision risk within the study region. We reviewed published mortality studies from wind farms in our study region and collected data on reported mortality of our focal species to compare to our modeled predictions. We performed a sensitivity analysis evaluating model performance of 6 different scenarios where habitat and exposure factors were weighted differently. We compared the model performance in each scenario by evaluating observed data vs. our model predictions using spearmans rank correlations. Horned Lark collision risk was predicted to be highest in the northwestern and west-central portions of the study region with lower risk predicted elsewhere. Red-eyed Vireo collision risk was predicted to be the highest in the eastern portions of the study region and in the forested areas of the western portion; the lowest risk was predicted in the treeless portions of the northwest portion of the study area. Mallard collision risk was predicted to be highest in the eastern central portion of the prairie potholes and in Iowa which has a high density of pothole wetlands; lower risk was predicted in the more arid portions of the study area. Predicted collision risk for American Avocet was similar to Mallard and was highest in the prairie pothole region and lower elsewhere. Golden Eagle collision risk was predicted to be highest in the mountainous areas of the western portion of the study area and lowest in the eastern portion of the prairie potholes. Whooping Crane predicted collision risk was highest within the migration corridor that the birds follow through in the central portion of the study region; predicted collision risk was much lower elsewhere. Red bat collision risk was highly driven by large tracts of forest and river corridors which made up most of the areas of higher collision risk. Silver-haired bat and hoary bat predicted collision risk were nearly identical and driven largely by forest and river corridors as well as locations with warmer temperatures, and lower average wind speeds. Horned Lark collisions were mostly influenced by abundance and predictions showed a moderate correlation between observed and predicted mortality (r = 0.55). Red bat, silver-haired bat, and hoary bat predictions were much higher and shown a strong correlations with observed mortality with correlations of 0.85, 0.90, and 0.91 respectively. Red bat collisions were influenced primarily by habitat, while hoary bat and silver-haired bat collisions were influenced mainly by exposure variables. Stronger correlations between observed and predicted collision for bats than for Horned Larks can likely be attributed to stronger habitat associations and greater influences of weather on behavior for bats. Although the collision predictions cannot be compared among species, our model outputs provide a convenient and easy landscape-level tool to quickly screen for siting issues at a high level. The model resolution is suitable for state or multi-county siting but users are cautioned against using these models for micrositing. The U.S. Fish and Wildlife Service recently released voluntary land-based wind energy guidelines for assessing impacts of a wind facility to wildlife using a tiered approach. The tiered approach uses an iterative approach for assessing impacts to wildlife in levels of increasing detail from landscape-level screening to site-specific field studies. Our models presented in this paper would be applicable to be used as tools to conduct screening at the tier 1 level and would not be appropriate to complete smaller scale tier 2 and tier 3 level studies. For smaller scale screening ancillary field studies should be conducted at the site-specific level to validate collision predictions.

  9. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling...

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

    ... Density Surface Models (number of individualskm 2 ) Resolution: 2km 2 165 DSM of Common Loons in winter (individualskm 2 ) Ship-based Line Transect Surveys (DSMs) Winter: Common ...

  10. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data

    SciTech Connect (OSTI)

    Saracino-Brown, Jocelyn; Smith, Courtney; Gilman, Patrick

    2013-07-01

    The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. The workshop was planned by Federal agency, academic, and private partners to promote collaboration between ongoing offshore ecological survey efforts, and to promote the collaborative development of complementary predictive models and compatible databases. The meeting primarily focused on efforts to establish and predict marine mammal, seabird, and sea turtle abundance, density, and distributions extending from the shoreline to the edge of the Exclusive Economic Zone between Nantucket Sound, Massachusetts and Cape Hatteras, North Carolina.

  11. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication: Appendix C, Compendium of Pre-Workshop Answers for Mid-Atlantic Survey & Modeling Efforts

    Energy Savers [EERE]

    Appendix C: Compendium of Pre-Workshop Answers for Mid-Atlantic Survey & Modeling Efforts July 2013 Appendix C: Compendium of Pre-Workshop Answers 1 Mid-Atlantic Survey & Modeling Efforts Prepared by Participants in Advance of: Mid-Atlantic Marine Wildlife Surveys, Modeling and Data: Workshop to Establish Coordination & Communication 1 These responses were provided by workshop participants in advance of the workshop. This appendix records the verbatim responses of participants. 56

  12. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication: Appendix A, Workshop Agenda

    Energy Savers [EERE]

    A: Workshop Agenda July 2013 Appendix A: Workshop Agenda Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication Dates: July 24-25 Location: NOAA's Silver Spring headquarters: NOAA Science Center 1301 East-West Hwy, Silver Spring, MD 20910 July 24 - Science Center 8:00-8:30 - Arrival and check-in (please allow half an hour to go through security and sign- in) 8:30-8:45 - Welcome and Introductions 8:45-9:00 - Meeting Scope and Objectives

  13. Report Wildlife Encounters

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

    Wildlife Encounters Report Wildlife Encounters Report any encounters with wildlife in the Los Alamos area. April 12, 2012 A mama black bear and her cub A mama black bear and her cub in Los Alamos. Contact Environmental Communication & Public Involvement P.O. Box 1663 MS M996 Los Alamos, NM 87545 (505) 667-0216 Email If you find an injured bird, contact the Santa Fe Raptor Center. Have a close encounter? Report the following Any wildlife incidents or encounters Migratory bird injury or

  14. Fish and Wildlife Administrator

    Broader source: Energy.gov [DOE]

    This position is located in the Planning and Policy organization (EWP) in the Division of Environment, Fish & Wildlife, Bonneville Power Administration (BPA) and reports to the EWP manager....

  15. Wind Wildlife Research Meeting X

    Broader source: Energy.gov [DOE]

    The biennial Wind Wildlife Research Meeting provides an internationally recognized forum for researchers and wind-wildlife stakeholders to hear contributed papers, view research posters, and listen...

  16. Model independent determination of the {sigma} pole

    SciTech Connect (OSTI)

    Leutwyler, H.

    2008-08-31

    The first part of this report reviews recent developments at the interface between lattice work on QCD with light dynamical quarks, effective field theory and low energy precision experiments. Then I discuss how dispersion theory can be used to analyze the low energy structure of the {pi}{pi} scattering amplitude in a model independent manner. This leads to an exact formula for the mass and width of the lowest few resonances, in terms of observable quantities. As an application, I consider the pole position of the {sigma}, paying particular to error propagation in the numerical analysis. The report is based on work done in collaboration with Irinel Caprini and Gilberto Colangelo.

  17. Estimating exposure of terrestrial wildlife to contaminants

    SciTech Connect (OSTI)

    Sample, B.E.; Suter, G.W. II

    1994-09-01

    This report describes generalized models for the estimation of contaminant exposure experienced by wildlife on the Oak Ridge Reservation. The primary exposure pathway considered is oral ingestion, e.g. the consumption of contaminated food, water, or soil. Exposure through dermal absorption and inhalation are special cases and are not considered hereIN. Because wildlife mobile and generally consume diverse diets and because environmental contamination is not spatial homogeneous, factors to account for variation in diet, movement, and contaminant distribution have been incorporated into the models. To facilitate the use and application of the models, life history parameters necessary to estimate exposure are summarized for 15 common wildlife species. Finally, to display the application of the models, exposure estimates were calculated for four species using data from a source operable unit on the Oak Ridge Reservation.

  18. Report Wildlife Encounters

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

    Encounters Report any encounters with wildlife in the Los Alamos area. April 12, 2012 A mama black bear and her cub A mama black bear and her cub in Los Alamos. Contact...

  19. Breaking Barriers Wildlife Refreshment

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

    Barriers Wildlife Refreshment Walker becomes first black battalion commander. NSTec Aviation Safety Officer, RSL team honored by DOE. NNSS helping wildlife with new watering holes. See pages 8. See page 4. NSTec and UNLV Bring Technology Community Together at PDV Workshop In June 2014, National Security Technologies (NSTec) and University Nevada, Las Vegas (UNLV) co- hosted a Photon Doppler Velocimetry (PDV) Workshop at the UNLV Science and Engineering Building (SEB). More than 125 attendees

  20. Montana Fish, Wildlife & Parks | Open Energy Information

    Open Energy Info (EERE)

    Fish, Wildlife & Parks Jump to: navigation, search Logo: Montana Fish, Wildlife & Parks Name: Montana Fish, Wildlife & Parks Address: 1420 East 6th Ave, PO Box 200701 Place:...

  1. Fish and Wildlife Service | Open Energy Information

    Open Energy Info (EERE)

    Wildlife Service Jump to: navigation, search Logo: Fish and Wildlife Service Name: Fish and Wildlife Service Place: Washington, DC Year Founded: 1940 Phone Number: (303) 275-2370...

  2. Appendix C of the Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data

    SciTech Connect (OSTI)

    2013-07-01

    The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. This is the third appendix to the report, the compendium of pre-workshop answers.

  3. Appendix E of the Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data

    SciTech Connect (OSTI)

    2013-07-01

    The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. This is the fifth appendix to the report, the bibliography of references.

  4. Appendix A of the Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data

    SciTech Connect (OSTI)

    2013-07-01

    The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. This is the first appendix to the report, the workshop agenda.

  5. Electrical utilities model for determining electrical distribution capacity

    SciTech Connect (OSTI)

    Fritz, R. L.

    1997-09-03

    In its simplest form, this model was to obtain meaningful data on the current state of the Site`s electrical transmission and distribution assets, and turn this vast collection of data into useful information. The resulting product is an Electrical Utilities Model for Determining Electrical Distribution Capacity which provides: current state of the electrical transmission and distribution systems; critical Hanford Site needs based on outyear planning documents; decision factor model. This model will enable Electrical Utilities management to improve forecasting requirements for service levels, budget, schedule, scope, and staffing, and recommend the best path forward to satisfy customer demands at the minimum risk and least cost to the government. A dynamic document, the model will be updated annually to reflect changes in Hanford Site activities.

  6. Wildlife Resources | Open Energy Information

    Open Energy Info (EERE)

    Resources Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleWildlifeResources&oldid612286" Feedback Contact needs updating Image needs...

  7. Nevada Department of Wildlife | Open Energy Information

    Open Energy Info (EERE)

    Wildlife (NDOW) is the state agency responsible for the restoration and management of fish and wildlife resources, and the promotion of boating safety on Nevada's waters. NDOW is...

  8. Colorado Division of Wildlife | Open Energy Information

    Open Energy Info (EERE)

    Wildlife Jump to: navigation, search Name: Colorado Parks and Wildlife Address: 1313 Sherman Street, Suite 618 Place: Denver, Colorado Zip: 80203 Phone Number: (303) 866-3437...

  9. Wildlife studies on the Hanford Site: 1993 Highlights report

    SciTech Connect (OSTI)

    Cadwell, L.L.

    1994-04-01

    The Pacific Northwest Laboratory (PNL) Wildlife Resources Monitoring Project was initiated by DOE to track the status of wildlife populations to determine whether Hanford operations affected them. The project continues to conduct a census of wildlife populations that are highly visible, economically or aesthetically important, and rare or otherwise considered sensitive. Examples of long-term data collected and maintained through the Wildlife Resources Monitoring Project include annual goose nesting surveys conducted on islands in the Hanford Reach, wintering bald eagle surveys, and fall Chinook salmon redd (nest) surveys. The report highlights activities related to salmon and mollusks on the Hanford Reach of the Columbia River; describes efforts to map vegetation on the Site and efforts to survey species of concern; provides descriptions of shrub-steppe bird surveys, including bald eagles, Canada geese, and hawks; outlines efforts to monitor mule deer and elk populations on the Site; and describes development of a biological database management system.

  10. Rainwater Wildlife Area Habitat Evaluation Procedures Report; A Columbia Basin Wildlife Mitigation Project.

    SciTech Connect (OSTI)

    Childs, Allen B.

    2004-01-01

    The 8,768 acre Rainwater Wildlife Area was acquired in September 1998 by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR) through an agreement with Bonneville Power Administration (BPA) to partially offset habitat losses associated with construction of the John Day and McNary hydroelectric facilities on the mainstem Columbia River. U.S. Fish and Wildlife Service (USFWS) Habitat Evaluation Procedures (HEP) were used to determine the number of habitat units credited to BPA for acquired lands. Upland and riparian forest, upland and riparian shrub, and grassland cover types are evaluated in this study. Targeted wildlife species include downy woodpecker (Picoides pubescens), black-capped chickadee (Parus atricopillus), blue grouse (Dendragapus obscurus), great blue heron (Ardea herodias), yellow warbler (Dendroica petechia), mink (Mustela vison), and Western meadowlark (Sturnella neglecta). Habitat surveys were conducted in 1998 and 1999 in accordance with published HEP protocols and included 65,300, 594m{sup 2}2 plots, and 112 one-tenth-acre plots. Between 153.3 and 7,187.46 acres were evaluated for each target wildlife mitigation species. Derived habitat suitability indices were multiplied by corresponding cover-type acreages to determine the number of habitat units for each species. The total baseline habitat units credited to BPA for the Rainwater Wildlife Area and its seven target species is 5,185.3 habitat units. Factors limiting habitat suitability are related to the direct, indirect, and cumulative effects of past livestock grazing, road construction, and timber harvest which have simplified the structure, composition, and diversity of native plant communities. Alternatives for protecting and improving habitat suitability include exclusion of livestock grazing, road de-commissioning/obliteration, reforestation and thinning, control of competing and unwanted vegetation (including noxious weeds), reestablishing displaced or reduced native vegetation species, allowance of normative processes such as fire occurrence, and facilitating development of natural stable stream channels and associated floodplains. Implementation of habitat enhancement and restoration activities could generate an additional 1,850 habitat units in 10 years. Baseline and estimated future habitat units total 7,035.3 for the Rainwater Wildlife Area. Habitat protection, enhancement and restoration will require long-term commitments from managers to increase probabilities of success and meet the goals and objectives of the Northwest Power Planning Council's Fish and Wildlife Mitigation Program.

  11. Washington State Department of Fish and Wildlife | Open Energy...

    Open Energy Info (EERE)

    Fish and Wildlife Jump to: navigation, search Logo: Washington State Department of Fish and Wildlife Name: Washington State Department of Fish and Wildlife Abbreviation: WDFW...

  12. Oregon Department of Fish and Wildlife | Open Energy Information

    Open Energy Info (EERE)

    Fish and Wildlife Jump to: navigation, search Logo: Oregon Department of Fish and Wildlife Name: Oregon Department of Fish and Wildlife Address: 3406 Cherry Ave. NE Place: Salem,...

  13. California Department of Fish & Wildlife | Open Energy Information

    Open Energy Info (EERE)

    & Wildlife Jump to: navigation, search Logo: California Department of Fish & Wildlife Name: California Department of Fish & Wildlife Address: 1416 9th St, 12th Floor Place:...

  14. Willow Creek Wildlife Mitigation Project. Final Environmental Assessment.

    SciTech Connect (OSTI)

    1995-04-01

    Today`s notice announces BPA`s proposal to fund land acquisition or acquisition of a conservation easement and a wildlife management plan to protect and enhance wildlife habitat at the Willow Creek Natural Area in Eugene, Oregon. This action would provide partial mitigation for wildlife and wildlife habitat lost by the development of Federal hydroelectric projects in the Willamette River Basin. The project is consistent with BPA`s obligations under provisions of the Pacific Northwest Electric Power Planning and Conservation Act of 1980 as outlined by the Northwest Power Planning Council`s 1994 Columbia River Basin Fish and Wildlife Program. BPA has prepared an environmental assessment (DOE/EA-1023) evaluating the proposed project. Based on the analysis in the EA, BPA has determined that the proposed action is not a major Federal action significantly affecting the quality of the human environment, within the meaning of the National Environmental Policy Act (NEPA) of 1969. Therefore, the preparation of an environmental impact statement (EIS) is not required and BPA is issuing this FONSI.

  15. Habitat Evaluation Procedures (HEP) Report : Rainwater Wildlife Area, 1998-2001 Technical Report.

    SciTech Connect (OSTI)

    Childs, Allen

    2004-01-01

    The 8,768 acre Rainwater Wildlife Area was acquired in September 1998 by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR) through an agreement with Bonneville Power Administration (BPA) to partially offset habitat losses associated with construction of the John Day and McNary hydroelectric facilities on the mainstem Columbia River. U.S. Fish and Wildlife Service (USFWS) Habitat Evaluation Procedures (HEP) were used to determine the number of habitat units credited to BPA for acquired lands. Upland and riparian forest, upland and riparian shrub, and grassland rover types are evaluated in this study. Targeted wildlife species include downy woodpecker (Picoides pubescens), black-capped chickadee (Parus atricopillus), blue grouse (Dendragapus obscurus), great blue heron (Ardea herodias), yellow warbler (Dendroica petechia), mink (Mustela vison), and Western meadowlark (Sturnella neglects). Habitat surveys were conducted in 1998 and 1999 in accordance with published HEP protocols and included 65,300, 594m{sup 2} plots, and 112 one-tenth-acre plots. Between 153.3 and 7,187.46 acres were evaluated for each target wildlife mitigation species. Derived habitat suitability indices were multiplied by corresponding cover-type acreages to determine the number of habitat units for each species. The total baseline habitat units credited to BPA for the Rainwater Wildlife Area and its seven target species is 5,185.3 habitat units. Factors limiting habitat suitability are related to the direct, indirect, and cumulative effects of past livestock grazing, road construction, and timber harvest which have simplified the structure, composition, and diversity of native plant communities. Alternatives for protecting and improving habitat suitability include exclusion of livestock grazing, road de-commissioning/obliteration, reforestation and thinning, control of competing and unwanted vegetation (including noxious weeds), reestablishing displaced or reduced native vegetation species, allowance of normative processes such as fire occurrence, and facilitating development of natural stable stream channels and associated floodplains. Implementation of habitat enhancement and restoration activities could generate an additional 1,850 habitat units in 10 years. Baseline and estimated future habitat units total 7,035.3 for the Rainwater Wildlife Area. Habitat protection, enhancement and restoration will require long-term commitments from managers to increase probabilities of success and meet the goals and objectives of the Northwest Power Planning Council's Fish and Wildlife Mitigation Program. Longer-term benefits of protection and enhancement activities include increases in native species diversity and plant community resiliency in all cover types. Watershed conditions, including floodplain/riparian, and instream habitat quality should improve as well providing multiple benefits for terrestrial and aquatic resources. While such benefits are not necessarily recognized by HEP models and reflected in the number of habitat units generated, they are consistent with the NPPC Fish and Wildlife Program.

  16. Fish & Wildlife Annual Project Summary, 1983.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1984-07-01

    BPA's Division of Fish and Wildlife was created in 1982 to develop, coordinate and manage BPA's fish and wildlife program. Division activities protect, mitigate, and enhance fish and wildlife resources impacted by hydroelectric development and operation in the Columbia River Basin. At present the Division spends 95% of its budget on restoration projects. In 1983, 83 projects addressed all aspects of the anadromous fish life cycle, non-migratory fish problems and the status of wildlife living near reservoirs.

  17. Determining Interactions in PSA models: Application to a Space PSA

    SciTech Connect (OSTI)

    C. Smith; E. Borgonovo

    2010-06-01

    This paper addresses use of an importance measure interaction study of a probabilistic risk analysis (PSA) performed for a hypothetical aerospace lunar mission. The PSA methods used in this study follow the general guidance provided in the NASA Probabilistic Risk Assessment Procedures Guide for NASA Managers and Practitioners. For the PSA portion, we used phased-based event tree and fault tree logic structures are used to model a lunar mission, including multiple phases (from launch to return to the Earth surface) and multiple critical systems. Details of the analysis results are not provided in this paper – instead specific basic events are denoted by number (e.g., the first event is 1, the second is 2, and so on). However, in the model, we used approximately 150 fault trees and over 800 basic events. Following analysis and truncation of cut sets, we were left with about 400 basic events to evaluate. We used this model to explore interactions between different basic events and systems. These sensitivity studies provide high-level insights into features of the PSA for the hypothetical lunar mission.

  18. Determination

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

    Determination of a Minimum Soiling Level to Affect Photovoltaic Devices Patrick D. Burton and Bruce H. King Sandia National Laboratories, Albuquerque, NM 87185 USA pdburto@sandia.gov Abstract-Soil accumulation on photovoltaic (PV) modules presents a challenge to long-term performance prediction and lifetime estimates due to the inherent difficulty in quantifying small changes over an extended period. Low mass loadings of soil are a common occurrence, but remain difficult to quantify. In order to

  19. Columbia River Basin Fish and Wildlife Program Work Plan for Fiscal Year 1988.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration; Northwest Power Planning Council; Columbia Basin Fish and Wildlife Authority

    1987-10-01

    The FY 1988 Columbia River Basin Fish and Wildlife Program Work Plan (Work Plan) presents Bonneville Power Administration's plans for implementing the Columbia River Basin Fish and Wildlife Program (Program) in FY 1988. The Work Plan focuses on individual Action Items found in the amended Program for which Bonneville Power Administration (BPA) has determined it has authority and responsibility to implement. The FY 1988 Work Plan emphasizes continuation of 95 ongoing projects, most of which involve protection, mitigation, or enhancement of anadromous fishery resources. These continuing activities are summarized briefly by Program area: (1) mainstem passage; (2) artificial propagation; (3) natural propagation; (4) resident fish and wildlife; and (5) planning activities.

  20. wildlife | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    wildlife | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs Our Jobs Working at NNSA Blog Home

  1. QER- Comment of National Wildlife Foundation

    Broader source: Energy.gov [DOE]

    Mollie Simon Climate and Energy National Wildlife Federation - National Advocacy Center 901 E. Street, NW Suite 400 Washington, DC 20004 +1 202.797.6651

  2. OAR 635-100 - Wildlife Diversity Plans | Open Energy Information

    Open Energy Info (EERE)

    for Wildlife Diversity Plans used to guide the State of Oregon's Department of Fish and Wildlife when managing non-game wildlife. Published NA Year Signed or Took Effect...

  3. Appendix D of the Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data. Workshop to Establish Coordination and Communication

    SciTech Connect (OSTI)

    2013-07-01

    The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. This is the fourth appendix to the report, the presentations from the workshop.

  4. Appendix B of the Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data. Workshop to Establish Coordination and Communication

    SciTech Connect (OSTI)

    2013-07-01

    The Wind Program hosted a two-day workshop on July 24-25, 2012 with scientists and regulators engaged in marine ecological survey, modeling, and database efforts pertaining to the waters of the Mid-Atlantic region. This is the second appendix to the report, the workshop participants.

  5. Bioenergy Technologies Office: Association of Fish and Wildlife...

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

    Office: Association of Fish and Wildlife Agencies Agricultural Conservation Committee Meeting Bioenergy Technologies Office: Association of Fish and Wildlife Agencies Agricultural ...

  6. U.S. Fish and Wildlife Service National Conservation Training...

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

    Fish and Wildlife Service National Conservation Training Center, Shepherdstown, West Virginia U.S. Fish and Wildlife Service National Conservation Training Center, Shepherdstown, ...

  7. Nevada Fish & Wildlife Habitat Conservation Plans | Open Energy...

    Open Energy Info (EERE)

    Nevada Fish & Wildlife Habitat Conservation Plans Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Nevada Fish & Wildlife Habitat Conservation Plans...

  8. Oregon Fish and Wildlife Mitigation Policy | Open Energy Information

    Open Energy Info (EERE)

    Fish and Wildlife Mitigation Policy Jump to: navigation, search OpenEI Reference LibraryAdd to library Reference: Oregon Fish and Wildlife Mitigation Policy Published Publisher Not...

  9. Montana Building with Wildlife Guide | Open Energy Information

    Open Energy Info (EERE)

    Provides guidance on conservation oriented development. Authors State of Montana Fish and Wildlife & Parks Organizations State of Montana Fish and Wildlife & Parks Published...

  10. Texas Parks and Wildlife Department | Open Energy Information

    Open Energy Info (EERE)

    Parks and Wildlife Department Name: Texas Parks and Wildlife Department Address: 4200 Smith School Rd Place: Austin, TX Zip: 78744 Phone Number: (512) 389-4800 Website:...

  11. National Wildlife Refuge System Administration Act | Open Energy...

    Open Energy Info (EERE)

    Wildlife Refuge System Administration Act Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: National Wildlife Refuge System...

  12. PNNL Reviews Wildlife-Interaction Monitoring for Offshore Wind...

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

    Reviews Wildlife-Interaction Monitoring for Offshore Wind Farms - Technology Hybrids Show Best Potential PNNL Reviews Wildlife-Interaction Monitoring for Offshore Wind Farms - ...

  13. Burlington Bottoms Wildlife Mitigation Project. Final Environmental Assessment/Management Plan and Finding of No Significant Impact.

    SciTech Connect (OSTI)

    Not Available

    1994-12-01

    Bonneville Power Administration (BPA) proposes to fund wildlife management and enhancement activities for the Burlington bottoms wetlands mitigation site. Acquired by BPA in 1991, wildlife habitat at Burlington bottoms would contribute toward the goal of mitigation for wildlife losses and inundation of wildlife habitat due to the construction of Federal dams in the lower Columbia and Willamette River Basins. Target wildlife species identified for mitigation purposes are yellow warbler, great blue heron, black-capped chickadee, red-tailed hawk, valley quail, spotted sandpiper, wood duck, and beaver. The Draft Management Plan/Environmental Assessment (EA) describes alternatives for managing the Burlington Bottoms area, and evaluates the potential environmental impacts of the alternatives. Included in the Draft Management Plan/EA is an implementation schedule, and a monitoring and evaluation program, both of which are subject to further review pending determination of final ownership of the Burlington Bottoms property.

  14. The Wildlife Society 22nd Annual Conference

    Broader source: Energy.gov [DOE]

    The Wildlife Society’s 22nd Annual Conference will be held Oct. 17–21, 2015, in Winnipeg, Canada. Bioenergy Technologies Office (BETO) Sustainability Manager Kristen Johnson will be speaking on how partnerships with key stakeholders lead to the research, development, and demonstration of technologies that produce advanced bioenergy and bioproducts from lignocellulosic and algal biomass. Several activities supported by BETO provide insights into how habitat and wildlife can be considered when designing bioenergy systems. Strong public and private collaboration can help meet simultaneous goals of expanding the bioeconomy while also incorporating the needs of wildlife, reducing greenhouse gas emissions, and providing other environmental and socio-economic benefits.

  15. Wildlife and Wind Energy | Open Energy Information

    Open Energy Info (EERE)

    the wind industry receives a lot of attention for avian impacts, research shows that nuclear and fossil-fueled plants have a greater impact. The Avian and Wildlife Costs of...

  16. OpenEI Community - Fish and Wildlife

    Open Energy Info (EERE)

    http:en.openei.orgcommunityblogidaho-meeting-2comments endangered species Fauna Fish and Wildlife Flora FWS Section 12 Section 7 Wed, 05 Sep 2012 04:36:43 +0000 Kyoung 488...

  17. Shillapoo Wildlife Area 2007 Follow-up HEP Report.

    SciTech Connect (OSTI)

    Ashley, Paul R.

    2008-03-01

    In April and May 2007 the Regional HEP Team (RHT) conducted a follow-up HEP analysis on the Egger (612 acres) and Herzog (210 acres) parcels located at the north end of the Shillapoo Wildlife Area. The Egger and Herzog parcels have been managed with Bonneville Power Administration funds since acquired in 1998 and 2001 respectively. Slightly more than 936 habitat units (936.47) or 1.14 HUs per acre was generated as an outcome of the 2007 follow-up HEP surveys. Results included 1.65 black-capped chickadee HUs, 280.57 great blue heron HUs, 581.45 Canada goose HUs, 40 mallard HUs, and 32.80 mink HUs. Introduction A follow-up Habitat Evaluation Procedures (HEP) (USFWS 1980) analysis was conducted by the Columbia Basin Fish and Wildlife Authority's (CBFWA) Regional HEP Team (RHT) during April and May 2007 to document changes in habitat quality and to determine the number of habitat units (HUs) to credit Bonneville Power Administration (BPA) for providing operation and maintenance (O&M) funds since WDFW acquired the parcels. The 2007 follow-up HEP evaluation was limited to Shillapoo Wildlife Area (SWA) parcels purchased with Bonneville Power Administration funds. D. Budd (pers. comm.) reported WDFW purchased the 612 acre Egger Farms parcel on November 2, 1998 for $1,737,0001 and the 210 acre Herzog acquisition on June 21, 2001 for $500,000 with Memorandum of Agreement funds (BPA and WDFW 1996) as partial fulfillment of BPA's wildlife mitigation obligation for construction of Bonneville and John Day Dams (Rasmussen and Wright 1989). Anticipating the eventual acquisition of the Egger and Herzog properties, WDFW conducted HEP surveys on these lands in 1994 to determine the potential number of habitat units to be credited to BPA. As a result, HEP surveys and habitat unit calculations were completed as much as seven years prior to acquiring the sites. The term 'Shillapoo Wildlife Area' will be used to describe only the Herzog and Egger parcels in this document. Details and results of the HEP analysis are included in this report.

  18. San Bernardino National Wildlife Refuge Well 10

    SciTech Connect (OSTI)

    Ensminger, J.T.; Easterly, C.E.; Ketelle, R.H.; Quarles, H.; Wade, M.C.

    1999-12-01

    The U.S. Geological Survey (USGS), at the request of the U.S. Fish and Wildlife Service, evaluated the water production capacity of an artesian well in the San Bernardino National Wildlife Refuge, Arizona. Water from the well initially flows into a pond containing three federally threatened or endangered fish species, and water from this pond feeds an adjacent pond/wetland containing an endangered plant species.

  19. Pesticides and their effects on wildlife

    SciTech Connect (OSTI)

    Driver, C.J.

    1994-07-01

    About 560 active ingredients are currently used as pesticides. Applications of these pesticides are made to agricultural lands and other areas inhabited by wildlife. Unfortunately, many agricultural-use pesticides also entail some measure of risk to organisms other than the pest species. Because testing of pesticides prior to registration cannot evaluate all the potential environmental-pesticide-wildlife/fish interactions, current methods of risk assessment do not always provide sufficient safety to nontarget organisms. This is evidenced by die-offs of fish and wildlife from applications of pesticides at environmentally {open_quotes}safe{close_quotes} rates, the linking of population declines of some species with agrochemical use, and observations of survival-threatening behavioral changes in laboratory and field animals exposed to typical field levels of pesticides. It is important to note, however, that the majority of pesticides, when properly applied, have not caused significant injury to wildlife. A brief summary of pesticide effects on wildlife and fish are presented for the common classes of pesticides in use today.

  20. Wildlife Management Plan for the Oak Ridge Reservation

    SciTech Connect (OSTI)

    Giffen, Neil R; Evans, James W.; Parr, Patricia Dreyer

    2007-10-01

    This document outlines a plan for management of the wildlife resources on the Department of Energy's (DOE's) Oak Ridge Reservation. Management includes wildlife population control through hunting, trapping, removal, and habitat manipulation; wildlife damage control; restoration of wildlife species; preservation, management, and enhancement of wildlife habitats; coordination of wildlife studies and characterization of areas; and law enforcement. Wildlife resources are divided into several categories, each with a specific set of objectives and procedures for attaining them. These objectives are management of (1) wildlife habitats to ensure that all resident wildlife species exist on the Reservation in viable numbers; (2) featured species to produce selected species in desired numbers on designated land units; (3) game species for research, education, recreation, and public safety; (4) the Three Bend Scenic and Wildlife Management Refuge Area; (5) nuisance wildlife, including nonnative species, to achieve adequate population control for the maintenance of health and safety on the Reservation; (6) sensitive species (i.e., state or federally listed as endangered, threatened, of special concern, or in need of management) through preservation and protection of both the species and habitats critical to the survival of those species; and (7) wildlife disease. Achievement of the objectives is a joint effort between the Tennessee Wildlife Resources Agency (TWRA) and the Oak Ridge National Laboratory through agreements between TWRA and DOE and between DOE and UT-Battelle, LLC.

  1. Status Review of Wildlife Mitigation, Columbia Basin Hydroelectric Projects, Columbia River Mainstem Facilities, 1984 Final Report.

    SciTech Connect (OSTI)

    Howerton, Jack; Hwang, Diana

    1984-11-01

    This report reviews the status of past, present, and proposed future wildlife planning and mitigation programs at existing hydroelectric projects in the Columbia River Basin. The project evaluations will form the basis for determining any needed remedial measures or additional project analysis. Each hydropower facility report is abstracted separately for inclusion in the Energy Data Base.

  2. TPWC 68 - Parks and Wildlife Code Endangered Species | Open Energy...

    Open Energy Info (EERE)

    TPWC 68 - Parks and Wildlife Code Endangered Species Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: TPWC 68 - Parks and Wildlife...

  3. Native American Fish and Wildlife Society Pacific Region Conference...

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

    Native American Fish and Wildlife Society Pacific Region Conference Native American Fish and Wildlife Society Pacific Region Conference October 13, 2015 8:00AM MDT to October 15,...

  4. US Fish and Wildlife Service Hydropower Licensing webpage | Open...

    Open Energy Info (EERE)

    US Fish and Wildlife Service Hydropower Licensing webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: US Fish and Wildlife Service Hydropower...

  5. 2 CCR 406-9 - Wildlife Properties | Open Energy Information

    Open Energy Info (EERE)

    search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: 2 CCR 406-9 - Wildlife PropertiesLegal Abstract Regulations governing all wildlife...

  6. ITEP Webinar: Climate Change Impacts on Fish and Wildlife

    Broader source: Energy.gov [DOE]

    Attend this Institute for Tribal Environmental Professionals (ITEP) webinar and learn the climate change challenges for fish and wildlife and what can be done to help safeguard fish, wildlife, and plants and the communities and economies that depend on them.

  7. Hellsgate Winter Range : Wildlife Mitigation Project. Preliminary Environmental Assessment.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1995-01-01

    The Bonneville Power Administration proposes funding the Hellsgate Winter Range Wildlife Mitigation Project in cooperation with the Colville Convederated Tribes and Bureau of Indian Affairs. This Preliminary Environmental Assessment examines the potential environmental effects of acquiring and managing property for wildlife and wildlife habitat within a large project area. The Propose action is intended to meet the need for mitigation of wildlife and wild life habitat that was adversely affected by the construction of Grand Coulee and Chief Joseph Dams and their reservoirs.

  8. Workplace Charging Challenge Partner: World Wildlife Fund | Department of

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

    Energy Wildlife Fund Workplace Charging Challenge Partner: World Wildlife Fund Workplace Charging Challenge Partner: World Wildlife Fund World Wildlife Fun (WWF) works in 100 countries and is supported by 1.2 million members in the United States and close to 5 million globally in their conservation efforts. WWF's unique way of working combines global reach with a foundation in science, involves action at every level from local to global, and ensures the delivery of innovative solutions that

  9. Innovative Study Helps Offshore Wind Developers Protect Wildlife |

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

    Department of Energy Study Helps Offshore Wind Developers Protect Wildlife Innovative Study Helps Offshore Wind Developers Protect Wildlife October 27, 2015 - 9:33am Addthis Innovative Study Helps Offshore Wind Developers Protect Wildlife Jocelyn Brown-Saracino Jocelyn Brown-Saracino Environmental Research Manager, Wind and Water Power Technologies Office Thanks to a first-of-its-kind in-depth study of wildlife distribution and movements, the nation's Eastern Seaboard is better prepared than

  10. Bioenergy Technologies Office: Association of Fish and Wildlife Agencies

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

    Agricultural Conservation Committee Meeting | Department of Energy Bioenergy Technologies Office: Association of Fish and Wildlife Agencies Agricultural Conservation Committee Meeting Bioenergy Technologies Office: Association of Fish and Wildlife Agencies Agricultural Conservation Committee Meeting This presentation was given on March 29, 2013, by Kristen Johnson to the Association of Fish & Wildlife Agencies and addresses BETO's work and sustainability efforts. PDF icon

  11. Categorical Exclusion Determinations: B3.3 | Department of Energy

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

    3 Categorical Exclusion Determinations: B3.3 Existing Regulations B3.3: Research related to conservation of fish, wildlife, and cultural resources Field and laboratory research, inventory, and information collection activities that are directly related to the conservation of fish and wildlife resources or to the protection of cultural resources, provided that such activities would not have the potential to cause significant impacts on fish and wildlife habitat or populations or to cultural

  12. Experimental determination of lead carbonate solubility at high ionic strengths: A Pitzer model description

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

    Xiong, Yongliang

    2015-05-06

    In this article, solubility measurements of lead carbonate, PbCO3(cr), cerussite, as a function of total ionic strengths are conducted in the mixtures of NaCl and NaHCO3 up to I = 1.2 mol•kg–1 and in the mixtures of NaHCO3 and Na2CO3 up to I = 5.2 mol•kg–1, at room temperature (22.5 ± 0.5 °C). The solubility constant (log Ksp) for cerussite, PbCO3(cr) = Pb2+ + CO32- was determined as –13.76 ± 0.15 (2σ) with a set of Pitzer parameters describing the specific interactions of PbCO3(aq), Pb(CO3)22-, and Pb(CO3)Cl– with the bulk-supporting electrolytes, based on the Pitzer model. The model developed inmore » this work can reproduce the experimental results including model-independent solubility values from the literature over a wide range of ionic strengths with satisfactory accuracy. The model is expected to find applications in numerous fields, including the accurate description of chemical behavior of lead in geological repositories, the modeling of formation of oxidized Pb–Zn ore deposits, and the environmental remediation of lead contamination.« less

  13. Wildlife and Wildlife Habitat Mitigation Plan for Libby Hydroelectric Project, Final Report.

    SciTech Connect (OSTI)

    Mundinger, John

    1985-01-01

    This report describes the proposed mitigation plan for wildlife losses attributable to the construction of the Libby hydroelectric project. Mitigation objectives and alternatives, the recommended mitigation projects, and the crediting system for each project are described by each target species. The report describes mitigation that has already taken place and 8 recommended mitigation projects designed to complete total wildlife mitigation. 8 refs., 2 figs., 12 tabs.

  14. Experimental determination of electrical characteristics and circuit models of superconducting dipole magnets

    SciTech Connect (OSTI)

    Smedley, K.M. . Dept. of Electrical and Computer Engineering); Shafer, R.E. )

    1994-09-01

    Superconducting magnets are used very extensively in modern science and technology to produce high intensity magnetic fields. In many application, magnets are used in non-dc conditions and are subject to current ramping. The magnets studied in this paper were intended to be used in the Superconducting Supercollider with a ramping rate of 4A/sec and a maximum current of 7000A. Due to the effects of eddy currents and parasitic capacitance, the electrical characteristics of superconducting magnets are not completely inductive; instead, they are frequency dependent functions. This paper develops a method of accurately measuring the ac characteristics and determining the circuit models of superconducting magnets that characterize the eddy currents and the parasitic capacitance. This measurement method can be used to analyze eddy current and the resulting circuit model can be used to study the transmission line effect of long magnet strings.

  15. FISH AND WILDLIFE SERVICE 9 Nevada Fish and Wildlife Office

    National Nuclear Security Administration (NNSA)

    of Enclosure File Nos. 84320-2008-F-0416 and 84320-2008-B-0015 been used to determine the relative abundance of desert tortoise throughout the range of this species in the United States (Berry and Nicholson 1984; Luckenbachl982; Karl 1980; Berry 1986). An ELU is an area with similar vegetation, slope, aspect, and soils. A total of 206 ELUs were surveyed for desert tortoises within desert tortoise habitat previously characterized as unknown in the 1996 programmatic biological opinion. Transects

  16. Experimental Determination and Thermodynamic Modeling of Electrical Conductivity of SRS Waste Tank Supernate

    SciTech Connect (OSTI)

    Pike, J.; Reboul, S.

    2015-06-01

    SRS High Level Waste Tank Farm personnel rely on conductivity probes for detection of incipient overflow conditions in waste tanks. Minimal information is available concerning the sensitivity that must be achieved such that that liquid detection is assured. Overly sensitive electronics results in numerous nuisance alarms for these safety-related instruments. In order to determine the minimum sensitivity required of the probe, Tank Farm Engineering personnel need adequate conductivity data to improve the existing designs. Little or no measurements of liquid waste conductivity exist; however, the liquid phase of the waste consists of inorganic electrolytes for which the conductivity may be calculated. Savannah River Remediation (SRR) Tank Farm Facility Engineering requested SRNL to determine the conductivity of the supernate resident in SRS waste Tank 40 experimentally as well as computationally. In addition, SRNL was requested to develop a correlation, if possible, that would be generally applicable to liquid waste resident in SRS waste tanks. A waste sample from Tank 40 was analyzed for composition and electrical conductivity as shown in Table 4-6, Table 4-7, and Table 4-9. The conductivity for undiluted Tank 40 sample was 0.087 S/cm. The accuracy of OLI Analyzer™ was determined using available literature data. Overall, 95% of computed estimates of electrical conductivity are within ±15% of literature values for component concentrations from 0 to 15 M and temperatures from 0 to 125 °C. Though the computational results are generally in good agreement with the measured data, a small portion of literature data deviates as much as ±76%. A simplified model was created that can be used readily to estimate electrical conductivity of waste solution in computer spreadsheets. The variability of this simplified approach deviates up to 140% from measured values. Generally, this model can be applied to estimate the conductivity within a factor of two. The comparison of the simplified model to pure component literature data suggests that the simplified model will tend to under estimate the electrical conductivity. Comparison of the computed Tank 40 conductivity with the measured conductivity shows good agreement within the range of deviation identified based on pure component literature data.

  17. Blue Creek Winter Range : Wildlife Mitigation Project : Preliminary Environmental Assessment.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration; United States. Bureau of Indian Affairs; Spokane Tribe of the Spokane Reservation, Washington

    1994-11-01

    This preliminary Environmental Assessment examines the potential environmental effects of securing land and conducting wildlife habitat enhancement and long term management activities within the boundaries of the Spokane Indian Reservation. Four proposed activities are analyzed: Habitat protection; Habitat enhancement; Operation and maintenance; and Monitoring and evaluation. The proposed action is intended to meet the need for mitigation of wildlife and wildlife habitat adversely affected by the construction of Grand Coulee Dam and its reservoir.

  18. NREL: Wind-Wildlife Impacts Literature Database (WILD) Home Page

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

    NREL - National Renewable Energy Laboratory Wind-Wildlife Impacts Literature Database (WILD) Wind Research WILD WILD Browse By Reset All Geography Africa (45) Apply Africa filter...

  19. Bioenergy Technologies Office: Association of Fish and Wildlife...

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

    Department of Energy Bioenergy Technologies Office Association of Fish & Wildlife Agencies Agricultural Conservation Committee Meeting March 29, 2013 Kristen Johnson Sustainability ...

  20. Energy Department Announces New Projects to Help Protect Wildlife...

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

    A current challenge facing wind energy developers in the United States is how to protect wildlife while responsibly deploying and operating this reliable source of clean energy. As ...

  1. BPA celebrates protection of Lemhi River fish and wildlife habitat

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

    celebrates-protection-of-Lemhi-River-fish-and-wildlife-habitat Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives...

  2. United States Fish and Wildlife Service - Habitat Conservation...

    Open Energy Info (EERE)

    LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: United States Fish and Wildlife Service - Habitat Conservation Plans Under the Endangered Species...

  3. California Department of Fish and Wildlife Environmental Review...

    Open Energy Info (EERE)

    California Department of Fish and Wildlife Environmental Review and Permitting Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: California...

  4. California Department of Fish and Wildlife: Federal Energy Regulatory...

    Open Energy Info (EERE)

    Fish and Wildlife: Federal Energy Regulatory Commission (FERC) Hydroelectric Projects Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: California...

  5. India-Legislation on Environment, Forests and Wildlife | Open...

    Open Energy Info (EERE)

    on Environment, Forests and Wildlife1 Overview "Category Name Water Pollution Air Pollution Environment Protection Coastal Regulation Zone Delegation of Powers...

  6. Nevada Department of Wildlife Energy Planning and Conservation...

    Open Energy Info (EERE)

    Nevada Department of Wildlife Energy Planning and Conservation Fund Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Nevada Department of...

  7. EA-0928: Burlington Bottoms Wildlife Mitigation Project, Multnomah County, Oregon

    Office of Energy Efficiency and Renewable Energy (EERE)

    This EA evaluates the environmental impacts of the U.S. Department of Energy's Bonneville Power Administration proposal to fund wildlife management and enhancement activities for the Burlington...

  8. Native American Fish and Wildlife Society Pacific Region Conference

    Broader source: Energy.gov [DOE]

    The Native American Fish and Wildlife Society is hosting a two-day conference featuring tribal roundtables on harvest methods, forest service, and more.

  9. OAR - Division 100-Wildlife Diversity Plan | Open Energy Information

    Open Energy Info (EERE)

    availability: http:crossref.org Citation Retrieved from "http:en.openei.orgwindex.php?titleOAR-Division100-WildlifeDiversityPlan&oldid792434" Feedback Contact...

  10. Determination of High-Frequency Current Distribution Using EMTP-Based Transmission Line Models with Resulting Radiated Electromagnetic Fields

    SciTech Connect (OSTI)

    Mork, B; Nelson, R; Kirkendall, B; Stenvig, N

    2009-11-30

    Application of BPL technologies to existing overhead high-voltage power lines would benefit greatly from improved simulation tools capable of predicting performance - such as the electromagnetic fields radiated from such lines. Existing EMTP-based frequency-dependent line models are attractive since their parameters are derived from physical design dimensions which are easily obtained. However, to calculate the radiated electromagnetic fields, detailed current distributions need to be determined. This paper presents a method of using EMTP line models to determine the current distribution on the lines, as well as a technique for using these current distributions to determine the radiated electromagnetic fields.

  11. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-12-01

    This fact sheet is an overview of the U.S. Fish and Wildlife Service's net-zero energy visitor's center at the Assabet River National Wildlife.

  12. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings

    Broader source: Energy.gov [DOE]

    This fact sheet is an overview of the U.S. Fish and Wildlife Service's net-zero energy visitor's center at the Assabet River National Wildlife.

  13. Wind-Wildlife Impacts Literature Database (WILD)(Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01

    The Wind-Wildlife Impacts Literature Database (WILD), developed and maintained by the National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory (NREL), is comprised of over 1,000 citations pertaining to the effects of land-based wind, offshore wind, marine and hydrokinetic, power lines, and communication and television towers on wildlife.

  14. Electromagnetic model for near-field microwave microscope with atomic resolution: Determination of tunnel junction impedance

    SciTech Connect (OSTI)

    Reznik, Alexander N.

    2014-08-25

    An electrodynamic model is proposed for the tunneling microwave microscope with subnanometer space resolution as developed by Lee et al. [Appl. Phys. Lett. 97, 183111 (2010)]. Tip-sample impedance Z{sub a} was introduced and studied in the tunneling and non-tunneling regimes. At tunneling breakdown, the microwave current between probe and sample flows along two parallel channels characterized by impedances Z{sub p} and Z{sub t} that add up to form overall impedance Z{sub a}. Quantity Z{sub p} is the capacitive impedance determined by the near field of the probe and Z{sub t} is the impedance of the tunnel junction. By taking into account the distance dependences of effective tip radius r{sub 0}(z) and tunnel resistance R{sub t}(z)?=?Re[Z{sub t}(z)], we were able to explain the experimentally observed dependences of resonance frequency f{sub r}(z) and quality factor Q{sub L}(z) of the microscope. The obtained microwave resistance R{sub t}(z) and direct current tunnel resistance R{sub t}{sup dc}(z) exhibit qualitatively similar behavior, although being largely different in both magnitude and the characteristic scale of height dependence. Interpretation of the microwave images of the atomic structure of test samples proved possible by taking into account the inductive component of tunnel impedance ImZ{sub t}?=??L{sub t}. Relation ?L{sub t}/R{sub t}???0.235 was obtained.

  15. Study of behavior and determination of customer lifetime value(CLV) using Markov chain model

    SciTech Connect (OSTI)

    Permana, Dony; Indratno, Sapto Wahyu; Pasaribu, Udjianna S.

    2014-03-24

    Customer Lifetime Value or CLV is a restriction on interactive marketing to help a company in arranging financial for the marketing of new customer acquisition and customer retention. Additionally CLV can be able to segment customers for financial arrangements. Stochastic models for the fairly new CLV used a Markov chain. In this model customer retention probability and new customer acquisition probability play an important role. This model is originally introduced by Pfeifer and Carraway in 2000 [1]. They introduced several CLV models, one of them only involves customer and former customer. In this paper we expand the model by adding the assumption of the transition from former customer to customer. In the proposed model, the CLV value is higher than the CLV value obtained by Pfeifer and Caraway model. But our model still requires a longer convergence time.

  16. CX-007894: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Wildlife Densities and Habitat Across Temporal and Spatial Scales on the Mid-Atlantic Continental Shelf CX(s) Applied: A9, A11, B3.2, B3.3, B3.16 Date: 02/01/2012 Location(s): Maine Offices(s): Golden Field Office

  17. Malheur River Wildlife Mitigation Project, Annual Report 2003.

    SciTech Connect (OSTI)

    Ashley, Paul

    2004-01-01

    Hydropower development within the Columbia and Snake River Basins has significantly affected riparian, riverine, and adjacent upland habitats and the fish and wildlife species dependent upon them. Hydroelectric dams played a major role in the extinction or major loss of both anadromous and resident salmonid populations and altered instream and adjacent upland habitats, water quality, and riparian/riverine function. Hydroelectric facility construction and inundation directly affected fish and wildlife species and habitats. Secondary and tertiary impacts including road construction, urban development, irrigation, and conversion of native habitats to agriculture, due in part to the availability of irrigation water, continue to affect wildlife and fish populations throughout the Columbia and Snake River Basins. Fluctuating water levels resulting from facility operations have created exposed sand, cobble, and/or rock zones. These zones are generally devoid of vegetation with little opportunity to re-establish riparian plant communities. To address the habitat and wildlife losses, the United States Congress in 1980 passed the Pacific Northwest Electric Power Planning and Conservation Act (Act) (P.L. 96-501), which authorized the states of Idaho, Montana, Oregon, and Washington to create the Northwest Power Planning Council (Council). The Act directed the Council to prepare a program in conjunction with federal, state, and tribal wildlife resource authorities to protect, mitigate, and enhance fish and wildlife species affected by the construction, inundation and operation of hydroelectric dams in the Columbia River Basin (NPPC 2000). Under the Columbia Basin Fish and Wildlife Program (Program), the region's fish and wildlife agencies, tribes, non-government organizations (NGOs), and the public propose fish and wildlife projects that address wildlife and fish losses resulting from dam construction and subsequent inundation. As directed by the Council, project proposals are subjected to a rigorous review process prior to receiving final approval. An eleven-member panel of scientists referred to as the Independent Scientific Review Panel (ISRP) examines project proposals. The ISRP recommends project approval based on scientific merit. The Bonneville Power Administration (BPA), the Columbia Basin Fish and Wildlife Authority (CBFWA), Council staff, the U.S. Fish and Wildlife Service (USFWS), the National Oceanic and Atmospheric Administration (NOAA), and subbasin groups also review project proposals to ensure each project meets regional and subbasin goals and objectives. The Program also includes a public involvement component that gives the public an opportunity to provide meaningful input on management proposals. After a thorough review, the Burns Paiute Tribe (BPT) acquired the Malheur River Mitigation Project (Project) with BPA funds to compensate, in part, for the loss of fish and wildlife resources in the Columbia and Snake River Basins and to address a portion of the mitigation goals identified in the Council's Program (NPPC 2000).

  18. Spring 1995 wildlife and vegetation survey, Norton Air Force Base, California

    SciTech Connect (OSTI)

    1995-07-18

    The objectives of the 1994 and 1995 wildlife and vegetation surveys were to gather data to be used for various applications including: (1) basewide Environmental Risk Assessment (ERA) Work Plan (Scoping Document), (2) the completion of the basewide ERA, (3) determining remedial activities, and (4) determining the distribution of state and federal list plant and animal species on Norton AFB. Data gathering included an inventory of plant and animal species present, the identification of potential ecological receptors, mapping of habitats, and constructing the ecological food web present on or near the IRP sites of concern.

  19. Method of and apparatus for determining the similarity of a biological analyte from a model constructed from known biological fluids

    DOE Patents [OSTI]

    Robinson, Mark R.; Ward, Kenneth J.; Eaton, Robert P.; Haaland, David M.

    1990-01-01

    The characteristics of a biological fluid sample having an analyte are determined from a model constructed from plural known biological fluid samples. The model is a function of the concentration of materials in the known fluid samples as a function of absorption of wideband infrared energy. The wideband infrared energy is coupled to the analyte containing sample so there is differential absorption of the infrared energy as a function of the wavelength of the wideband infrared energy incident on the analyte containing sample. The differential absorption causes intensity variations of the infrared energy incident on the analyte containing sample as a function of sample wavelength of the energy, and concentration of the unknown analyte is determined from the thus-derived intensity variations of the infrared energy as a function of wavelength from the model absorption versus wavelength function.

  20. Management of wildlife causing damage at Argonne National Laboratory-East, DuPage County, Illinois

    SciTech Connect (OSTI)

    1995-04-01

    The DOE, after an independent review, has adopted an Environmental Assessment (EA) prepared by the US Department of Agriculture (USDA) which evaluates use of an Integrated Wildlife Damage Management approach at Argonne National Laboratory-East (ANL-E) in DuPage County, Illinois (April 1995). In 1994, the USDA issued a programmatic Environmental Impact Statement (EIS) that covers nationwide animal damage control activities. The EA for Management of Wildlife Causing Damage at ANL-E tiers off this programmatic EIS. The USDA wrote the EA as a result of DOE`s request to USDA to prepare and implement a comprehensive Wildlife Management Damage Plan; the USDA has authority for animal damage control under the Animal Damage Control Act of 1931, as amended, and the Rural Development, Agriculture and Related Agencies Appropriations Act of 1988. DOE has determined, based on the analysis in the EA, that the proposed action does not constitute a major Federal action significantly affecting the quality of the human environment within the meaning of the National Environmental Policy Act of 1969 (NEPA). Therefore, the preparation of an EIS is not required. This report contains the Environmental Assessment, as well as the Finding of No Significant Impact (FONSI).

  1. Technosocial Modeling for Determining the Status and Nature of a State’s Nuclear Activities

    SciTech Connect (OSTI)

    Gastelum, Zoe N.; Harvey, Julia B.

    2009-09-25

    The International Atomic Energy Agency State Evaluation Process: The Role of Information Analysis in Reaching Safeguards Conclusions (Mathews et al. 2008), several examples of nonproliferation models using analytical software were developed that may assist the IAEA with collecting, visualizing, analyzing, and reporting information in support of the State Evaluation Process. This paper focuses on one of the examples a set of models developed in the Proactive Scenario Production, Evidence Collection, and Testing (ProSPECT) software that evaluates the status and nature of a state’s nuclear activities. The models use three distinct subject areas to perform this assessment: the presence of nuclear activities, the consistency of those nuclear activities with national nuclear energy goals, and the geopolitical context in which those nuclear activities are taking place. As a proof-of-concept for the models, a crude case study was performed. The study, which attempted to evaluate the nuclear activities taking place in Syria prior to September 2007, yielded illustrative, yet inconclusive, results. Due to the inconclusive nature of the case study results, changes that may improve the model’s efficiency and accuracy are proposed.

  2. United States Fish and Wildlife Service - Endangered Species...

    Open Energy Info (EERE)

    OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: United States Fish and Wildlife Service - Endangered Species Act of 1973Legal Abstract This page links to...

  3. Native American Fish and Wildlife Society Pacific Region Conference...

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

    Montana Kwa-Taq-Nuk Casino Resort 49708 US-93 Polson, MT 59860 The Native American Fish and Wildlife Society is hosting a two-day conference featuring tribal roundtables on...

  4. FSM 2600 Wildlife, Fish, and Sensitive Plan Habitat Management...

    Open Energy Info (EERE)

    FSM 2600 Wildlife, Fish, and Sensitive Plan Habitat Management Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: FSM 2600...

  5. Colorado Parks and Wildlife Rules and Regulations | Open Energy...

    Open Energy Info (EERE)

    Rules and Regulations Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Colorado Parks and Wildlife Rules and Regulations Abstract This web page lists...

  6. EA-1023: Willow Creek Wildlife Mitigation Project, Eugene, Oregon

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of the U.S. Department of Energy's Bonneville Power Administration's proposal to fund habitat acquisition (of land or a conservation easement), wildlife...

  7. Tribal Wildlife Grant (FWS)- Grant Writing Strategy Webinar

    Broader source: Energy.gov [DOE]

    Prosper Sustainably is hosting a free webinar on July 23, 2014 at 1pm PST that reviews the FWS Tribal Wildlife Grant funding opportunity. During the webinar Josh Simmons, Prosper Sustainably’s...

  8. Title 50 CFR 17 Endangered and Threatened Wildlife and Plants...

    Open Energy Info (EERE)

    17 Endangered and Threatened Wildlife and Plants Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- Federal RegulationFederal Regulation: Title 50...

  9. Nevada Department of Wildlife Application for Energy Projects...

    Open Energy Info (EERE)

    Nevada Department of Wildlife Application for Energy Projects "Fund for the Recovery of Costs" Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document-...

  10. EA-0939: Blue Creek Winter Range: Wildlife Mitigation Project, Washington

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of the proposal for the U.S. Department of Energy's Bonneville Power Administration to secure land and conduct wildlife habitat enhancement and long term...

  11. EA-1096: Washington Wildlife Mitigation Projects (Programmatic), Washington

    Broader source: Energy.gov [DOE]

    This EA evaluates the environmental impacts of the proposal for the U.S. Department of Energy Bonneville Power Administration to fund the portion of the Washington Wildlife Mitigation Agreement...

  12. WAC - 232-12-014 Wildlife Classified as Endangered Species |...

    Open Energy Info (EERE)

    WAC - 232-12-014 Wildlife Classified as Endangered Species Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: WAC - 232-12-014...

  13. Market-Based Wildlife Mitigation in Wyoming | Open Energy Information

    Open Energy Info (EERE)

    in Wyoming Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Market-Based Wildlife Mitigation in Wyoming Abstract Covers the basics of mitigation...

  14. Market-based Wildlife Mitigation in Wyoming: A Primer | Open...

    Open Energy Info (EERE)

    A Primer Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Market-based Wildlife Mitigation in Wyoming: A Primer Abstract Covers the basics of...

  15. Utah Division of Wildlife Resources | Open Energy Information

    Open Energy Info (EERE)

    Name: Utah Division of Wildlife Resources Address: 1594 W North Temple, Suite 2110, Box 146301 Place: Salt Lake City, Utah Zip: 84114-6301 Phone Number: 801-538-4745 Website:...

  16. PNNL Reviews Wildlife-Interaction Monitoring for Offshore Wind Farms -

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

    Technology Hybrids Show Best Potential | Department of Energy Reviews Wildlife-Interaction Monitoring for Offshore Wind Farms - Technology Hybrids Show Best Potential PNNL Reviews Wildlife-Interaction Monitoring for Offshore Wind Farms - Technology Hybrids Show Best Potential February 24, 2012 - 11:30am Addthis This is an excerpt from the First Quarter 2012 edition of the Wind Program R&D Newsletter. Adding offshore wind to the U.S. renewable energy portfolio promises access to a large,

  17. Hellsgate Winter Range : Wildlife Mitigation Project. Final Environmental Assessment.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1995-03-01

    Bonneville Power Administration (BPA) proposes to fund the Hellsgate Winter Range Wildlife Mitigation Project (Project) in a cooperative effort with the Colville Confederated Tribes and the Bureau of Indian Affairs (BIA). The proposed action would allow the sponsors to secure property and conduct wildlife management activities within the boundaries of the Colville Indian Reservation. This Final Environmental Assessment (EA) examines the potential environmental effects of acquiring and managing property for wildlife and wildlife habitat within a large project area. This area consists of several separated land parcels, of which 2,000 hectares (4,943 acres) have been purchased by BPA and an additional 4,640 hectares (11,466 acres) have been identified by the Colville Confederated Tribes for inclusion in the Project. Four proposed activities (habitat protection, habitat enhancement, operation and maintenance, and monitoring and evaluation) are analyzed. The proposed action is intended to meet the need for mitigation of wildlife and wildlife habitat that was adversely affected by the construction of Grand Coulee and Chief Joseph Dams and their reservoirs.

  18. Blue Creek Winter Range : Wildlife Mitigation Project : Final Environmental Assessment.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration; United States. Bureau of Indian Affairs; Spokane Tribe of the Spokane Reservation, Washington

    1994-11-01

    Bonneville Power Administration (BPA) proposes to fund that portion of the Washington Wildlife Agreement pertaining to the Blue Creek Winter Range Wildlife Mitigation Project (Project) in a cooperative effort with the Spokane Tribe, Upper Columbia United Tribes, and the Bureau of Indian Affairs (BIA). If fully implemented, the proposed action would allow the sponsors to protect and enhance 2,631 habitat units of big game winter range and riparian shrub habitat on 2,185 hectares (5,400 acres) of Spokane Tribal trust lands, and to conduct long term wildlife management activities within the Spokane Indian Reservation project area. This Final Environmental Assessment (EA) examines the potential environmental effects of securing land and conducting wildlife habitat enhancement and long term management activities within the boundaries of the Spokane Indian Reservation. Four proposed activities (habitat protection, habitat enhancement, operation and maintenance, and monitoring and evaluation) are analyzed. The proposed action is intended to meet the need for mitigation of wildlife and wildlife habitat adversely affected by the construction of Grand Coulee Dam and its reservoir.

  19. Columbia Basin Wildlife Mitigation Project : Rainwater Wildlife Area Final Management Plan.

    SciTech Connect (OSTI)

    Childs, Allen

    2002-03-01

    This Draft Management Plan has been developed by the Confederated Tribes of the Umatilla Indian Reservation (CTUIR) to document how the Rainwater Wildlife Area (formerly known as the Rainwater Ranch) will be managed. The plan has been developed under a standardized planning process developed by the Bonneville Power Administration (BPA) for Columbia River Basin Wildlife Mitigation Projects (See Appendix A and Guiding Policies Section below). The plan outlines the framework for managing the project area, provides an assessment of existing conditions and key resource issues, and presents an array of habitat management and enhancement strategies. The plan culminates into a 5-Year Action Plan that will focus our management actions and prioritize funding during the Fiscal 2001-2005 planning period. This plan is a product of nearly two years of field studies and research, public scoping, and coordination with the Rainwater Advisory Committee. The committee consists of representatives from tribal government, state agencies, local government, public organizations, and members of the public. The plan is organized into several sections with Chapter 1 providing introductory information such as project location, purpose and need, project goals and objectives, common elements and assumptions, coordination efforts and public scoping, and historical information about the project area. Key issues are presented in Chapter 2 and Chapter 3 discusses existing resource conditions within the wildlife area. Chapter 4 provides a detailed presentation on management activities and Chapter 5 outlines a monitoring and evaluation plan for the project that will help assess whether the project is meeting the intended purpose and need and the goals and objectives. Chapter 6 displays the action plan and provides a prioritized list of actions with associated budget for the next five year period. Successive chapters contain appendices, references, definitions, and a glossary.

  20. Phase I Water Rental Pilot Project : Snake River Resident Fish and Wildlife Resources and Management Recommendations.

    SciTech Connect (OSTI)

    Riggin, Stacey H.; Hansen, H. Jerome

    1992-10-01

    The Idaho Water Rental Pilot Project was implemented as a part of the Non-Treaty Storage Fish and Wildlife Agreement (NTSA) between Bonneville Power Administration and the Columbia Basin Fish and Wildlife Authority. The goal of the project is to improve juvenile and adult salmon and steelhead passage in the lower Snake River with the use of rented water for flow augmentation. The primary purpose of this project is to summarize existing resource information and provide recommendations to protect or enhance resident fish and wildlife resources in Idaho with actions achieving flow augmentation for anadromous fish. Potential impacts of an annual flow augmentation program on Idaho reservoirs and streams are modeled. Potential sources of water for flow augmentation and operational or institutional constraints to the use of that water are identified. This report does not advocate flow augmentation as the preferred long-term recovery action for salmon. The state of Idaho strongly believes that annual drawdown of the four lower Snake reservoirs is critical to the long-term enhancement and recovery of salmon (Andrus 1990). Existing water level management includes balancing the needs of hydropower production, irrigated agriculture, municipalities and industries with fish, wildlife and recreation. Reservoir minimum pool maintenance, water quality and instream flows are issues of public concern that will be directly affected by the timing and quantity of water rental releases for salmon flow augmentation, The potential of renting water from Idaho rental pools for salmon flow augmentation is complicated by institutional impediments, competition from other water users, and dry year shortages. Water rental will contribute to a reduction in carryover storage in a series of dry years when salmon flow augmentation is most critical. Such a reduction in carryover can have negative impacts on reservoir fisheries by eliminating shoreline spawning beds, reducing available fish habitat, and exacerbating adverse water quality conditions. A reduction in carry over can lead to seasonal reductions in instream flows, which may also negatively affect fish, wildlife, and recreation in Idaho. The Idaho Water Rental Pilot Project does provide opportunities to protect and enhance resident fish and wildlife habitat by improving water quality and instream flows. Control of point sources, such as sewage and industrial discharges, alone will not achieve water quality goals in Idaho reservoirs and streams. Slow, continuous releases of rented water can increase and stabilize instream flows, increase available fish and wildlife habitat, decrease fish displacement, and improve water quality. Island integrity, requisite for waterfowl protection from mainland predators, can be maintained with improved timing of water releases. Rebuilding Snake River salmon and steelhead runs requires a cooperative commitment and increased flexibility in system operations to increase flow velocities for fish passage and migration. Idaho's resident fish and wildlife resources require judicious management and a willingness by all parties to liberate water supplies equitably.

  1. Oregon Trust Agreement Planning Project : Potential Mitigations to the Impacts on Oregon Wildlife Resources Associated with Relevant Mainstem Columbia River and Willamette River Hydroelectric Projects.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1993-10-01

    A coalition of the Oregon wildlife agencies and tribes (the Oregon Wildlife Mitigation Coalition) have forged a cooperative effort to promote wildlife mitigation from losses to Oregon wildlife resources associated with the four mainstream Columbia River and the eight Willamette River Basin hydroelectric projects. This coalition formed a Joint Advisory Committee, made up of technical representatives from all of the tribes and agencies, to develop this report. The goal was to create a list of potential mitigation opportunities by priority, and to attempt to determine the costs of mitigating the wildlife losses. The information and analysis was completed for all projects in Oregon, but was gathered separately for the Lower Columbia and Willamette Basin projects. The coalition developed a procedure to gather information on potential mitigation projects and opportunities. All tribes, agencies and interested parties were contacted in an attempt to evaluate all proposed or potential mitigation. A database was developed and minimum criteria were established for opportunities to be considered. These criteria included the location of the mitigation site within a defined area, as well as other criteria established by the Northwest Power Planning Council. Costs were established for general habitats within the mitigation area, based on estimates from certified appraisers. An analysis of the cost effectiveness of various types of mitigation projects was completed. Estimates of operation and maintenance costs were also developed. The report outlines strategies for gathering mitigation potentials, evaluating them, determining their costs, and attempting to move towards their implementation.

  2. Determination of Electrochemical Performance and Thermo-Mechanical-Chemical Stability of SOFCs from Defect Modeling

    SciTech Connect (OSTI)

    Eric Wachsman; Keith L. Duncan

    2006-09-30

    This research was focused on two distinct but related issues. The first issue concerned using defect modeling to understand the relationship between point defect concentration and the electrochemical, thermo-chemical and mechano-chemical properties of typical solid oxide fuel cell (SOFC) materials. The second concerned developing relationships between the microstructural features of SOFC materials and their electrochemical performance. To understand the role point defects play in ceramics, a coherent analytical framework was used to develop expressions for the dependence of thermal expansion and elastic modulus on point defect concentration in ceramics. These models, collectively termed the continuum-level electrochemical model (CLEM), were validated through fits to experimental data from electrical conductivity, I-V characteristics, elastic modulus and thermo-chemical expansion experiments for (nominally pure) ceria, gadolinia-doped ceria (GDC) and yttria-stabilized zirconia (YSZ) with consistently good fits. The same values for the material constants were used in all of the fits, further validating our approach. As predicted by the continuum-level electrochemical model, the results reveal that the concentration of defects has a significant effect on the physical properties of ceramic materials and related devices. Specifically, for pure ceria and GDC, the elastic modulus decreased while the chemical expansion increased considerably in low partial pressures of oxygen. Conversely, the physical properties of YSZ remained insensitive to changes in oxygen partial pressure within the studied range. Again, the findings concurred exactly with the predictions of our analytical model. Indeed, further analysis of the results suggests that an increase in the point defect content weakens the attractive forces between atoms in fluorite-structured oxides. The reduction treatment effects on the flexural strength and the fracture toughness of pure ceria were also evaluated at room temperature. The results reveal that the flexural strength decreases significantly after heat treatment in very low oxygen partial pressure environments; however, in contrast, fracture toughness is increased by 30-40% when the oxygen partial pressure was decreased to 10{sup -20} to 10{sup -22} atm range. Fractographic studies show that microcracks developed at 800 oC upon hydrogen reduction are responsible for the decreased strength. To understand the role of microstructure on electrochemical performance, electrical impedance spectra from symmetric LSM/YSZ/LSM cells was de-convoluted to obtain the key electrochemical components of electrode performance, namely charge transfer resistance, surface diffusion of reactive species and bulk gas diffusion through the electrode pores. These properties were then related to microstructural features, such as triple-phase boundary length and tortuosity. From these experiments we found that the impedance due to oxygen adsorption obeys a power law with pore surface area, while the impedance due to charge transfer is found to obey a power-law with respect to triple phase boundary length. A model based on kinetic theory explaining the power-law relationships observed was then developed. Finally, during our EIS work on the symmetric LSM/YSZ/LSM cells a technique was developed to improve the quality of high-frequency impedance data and their subsequent de-convolution.

  3. Categorical Exclusion Determinations: B1.20 | Department of Energy

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

    0 Categorical Exclusion Determinations: B1.20 Existing Regulations B1.20: Protection of cultural resources, fish and wildlife habitat Small-scale activities undertaken to protect cultural resources (such as fencing, labeling, and flagging) or to protect, restore, or improve fish and wildlife habitat, fish passage facilities (such as fish ladders and minor diversion channels), or fisheries. Such activities would be conducted in accordance with an existing natural or cultural resource plan, if

  4. Categorical Exclusion Determinations: B1.25 | Department of Energy

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

    5 Categorical Exclusion Determinations: B1.25 Existing Regulations B1.25: Real property transfers for cultural resources protection, habitat preservation, and wildlife management Transfer, lease, disposition, or acquisition of interests in land and associated buildings for cultural resources protection, habitat preservation, or fish and wildlife management, provided that there would be no potential for release of substances at a level, or in a form, that could pose a threat to public health or

  5. u.s. DEPARTMENT OF ENERGY EERE PROJECT MANAGEMENT CENTER NEPA DETERMINATION

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

    DETERMINATION RECIPIENT: Biodiversity Research Institute Page 1 of3 STATE: ME PROJECT TITLE : Modeling wildlife densities and habitat across temporal and spatial scales on the mid-Atlantic continental shelf Funding Opportunity Announcement Number Procun'ment Instrument Number NEPA Control Number em Number DE-FOA-000041 4 DE-EEOOO5362 GFO-OOO5362-001 0 Ba~d on my review o'the infonnation concerning the proposed action, as NEPA Compliance Officer (authoriud under DOE Order 451.1A). I have made the

  6. Symmetric structure of field algebra of G-spin models determined by a normal subgroup

    SciTech Connect (OSTI)

    Xin, Qiaoling Jiang, Lining

    2014-09-15

    Let G be a finite group and H a normal subgroup. D(H; G) is the crossed product of C(H) and CG which is only a subalgebra of D(G), the double algebra of G. One can construct a C*-subalgebra F{sub H} of the field algebra F of G-spin models, so that F{sub H} is a D(H; G)-module algebra, whereas F is not. Then the observable algebra A{sub (H,G)} is obtained as the D(H; G)-invariant subalgebra of F{sub H}, and there exists a unique C*-representation of D(H; G) such that D(H; G) and A{sub (H,G)} are commutants with each other.

  7. Radiological Modeling for Determination of Derived Concentration Levels of an Area with Uranium Residual Material - 13533

    SciTech Connect (OSTI)

    Perez-Sanchez, Danyl [CIEMAT, Avenida Complutense 40, 28040, Madrid (Spain)] [CIEMAT, Avenida Complutense 40, 28040, Madrid (Spain)

    2013-07-01

    As a result of a pilot project developed at the old Spanish 'Junta de Energia Nuclear' to extract uranium from ores, tailings materials were generated. Most of these residual materials were sent back to different uranium mines, but a small amount of it was mixed with conventional building materials and deposited near the old plant until the surrounding ground was flattened. The affected land is included in an area under institutional control and used as recreational area. At the time of processing, uranium isotopes were separated but other radionuclides of the uranium decay series as Th-230, Ra-226 and daughters remain in the residue. Recently, the analyses of samples taken at different ground's depths confirmed their presence. This paper presents the methodology used to calculate the derived concentration level to ensure that the reference dose level of 0.1 mSv y-1 used as radiological criteria. In this study, a radiological impact assessment was performed modeling the area as recreational scenario. The modelization study was carried out with the code RESRAD considering as exposure pathways, external irradiation, inadvertent ingestion of soil, inhalation of resuspended particles, and inhalation of radon (Rn-222). As result was concluded that, if the concentration of Ra-226 in the first 15 cm of soil is lower than, 0.34 Bq g{sup -1}, the dose would not exceed the reference dose. Applying this value as a derived concentration level and comparing with the results of measurements on the ground, some areas with a concentration of activity slightly higher than latter were found. In these zones the remediation proposal has been to cover with a layer of 15 cm of clean material. This action represents a reduction of 85% of the dose and ensures compliance with the reference dose. (authors)

  8. RECONCILING MODELS OF LUMINOUS BLAZARS WITH MAGNETIC FLUXES DETERMINED BY RADIO CORE-SHIFT MEASUREMENTS

    SciTech Connect (OSTI)

    Nalewajko, Krzysztof; Begelman, Mitchell C.; Sikora, Marek

    2014-11-20

    Estimates of magnetic field strength in relativistic jets of active galactic nuclei, obtained by measuring the frequency-dependent radio core location, imply that the total magnetic fluxes in those jets are consistent with the predictions of the magnetically arrested disk (MAD) scenario of jet formation. On the other hand, the magnetic field strength determines the luminosity of the synchrotron radiation, which forms the low-energy bump of the observed blazar spectral energy distribution (SED). The SEDs of the most powerful blazars are strongly dominated by the high-energy bump, which is most likely due to the external radiation Compton mechanism. This high Compton dominance may be difficult to reconcile with the MAD scenario, unless (1) the geometry of external radiation sources (broad-line region, hot-dust torus) is quasi-spherical rather than flat, or (2) most gamma-ray radiation is produced in jet regions of low magnetization, e.g., in magnetic reconnection layers or in fast jet spines.

  9. Wildlife Protection, Mitigation, and Enhancement Planning Phase I, Dworshak Reservoir, Final Report.

    SciTech Connect (OSTI)

    Hansen, H. Jerome

    1988-02-01

    Under direction of the Pacific Northwest Electric Power Planning and Conservation Act of 1980, and the subsequent Northwest Power Planning Council's Columbia River Basin Fish and Wildlife Program, impacts to wildlife due to the development and operation of the US Army Corps of Engineers Dworshak Project have been examined. Using existing information, it has been determined that the project has resulted in the loss of 15,316 acres of elk habitat, 15,286 acres of white-tailed deer habitat, 16,986 acres of black bear habitat, 14,776 acres of ruffed grouse habitat, 13,616 acres of pileated woodpecker habitat, and 66 acres of yellow warbler habitat (scrub-shrub/red alder). Acreages of mallard, Canada goose, river otter, and beaver habitat could not be determined from existing information. The interagency work group has recommended that a HEP (Habitat Evaluation Procedure) be used to determine changes in the quantity and quality of target species habitat in the study area, due to the development and operation of Dworshak Reservoir. 60 refs., 3 figs., 6 tabs.

  10. REDSHIFT DETERMINATION AND CO LINE EXCITATION MODELING FOR THE MULTIPLY LENSED GALAXY HLSW-01

    SciTech Connect (OSTI)

    Scott, K. S.; Lupu, R. E.; Aguirre, J. E.; Auld, R.; Eales, S.; Aussel, H.; Chanial, P.; Beelen, A.; Bock, J.; Bradford, C. M.; Carpenter, J. M.; Cooray, A.; Dowell, C. D.; Brisbin, D.; Burgarella, D.; Chapman, S. C.; Clements, D. L.; Conley, A.; Cox, P.

    2011-05-20

    We report on the redshift measurement and CO line excitation of HERMES J105751.1+573027 (HLSW-01), a strongly lensed submillimeter galaxy discovered in Herschel/SPIRE observations as part of the Herschel Multi-tiered Extragalactic Survey (HerMES). HLSW-01 is an ultra-luminous galaxy with an intrinsic far-infrared luminosity of L{sub FIR} = 1.4 x 10{sup 13} L{sub sun}, and is lensed by a massive group of galaxies into at least four images with a total magnification of {mu} = 10.9 {+-} 0.7. With the 100 GHz instantaneous bandwidth of the Z-Spec instrument on the Caltech Submillimeter Observatory, we robustly identify a redshift of z = 2.958 {+-} 0.007 for this source, using the simultaneous detection of four CO emission lines (J = 7 {yields} 6, J = 8 {yields} 7, J = 9 {yields} 8, and J = 10 {yields} 9). Combining the measured line fluxes for these high-J transitions with the J = 1 {yields} 0, J = 3 {yields} 2, and J = 5 {yields} 4 line fluxes measured with the Green Bank Telescope, the Combined Array for Research in Millimeter Astronomy, and the Plateau de Bure Interferometer, respectively, we model the physical properties of the molecular gas in this galaxy. We find that the full CO spectral line energy distribution is described well by warm, moderate-density gas with T{sub kin} = 86-235 K and n{sub H{sub 2}} = (1.1-3.5) x 10{sup 3} cm{sup -3}. However, it is possible that the highest-J transitions are tracing a small fraction of very dense gas in molecular cloud cores, and two-component models that include a warm/dense molecular gas phase with T{sub kin} {approx} 200 K, n{sub H{sub 2}}{approx}10{sup 5} cm{sup -3} are also consistent with these data. Higher signal-to-noise measurements of the J{sub up} {>=} 7 transitions with high spectral resolution, combined with high spatial resolution CO maps, are needed to improve our understanding of the gas excitation, morphology, and dynamics of this interesting high-redshift galaxy.

  11. Albeni Falls Wildlife Mitigation Project, 2008 Annual Report.

    SciTech Connect (OSTI)

    Soults, Scott

    2009-08-05

    The Albeni Falls Interagency Work Group (AFIWG) was actively involved in implementing wildlife mitigation activities in late 2007, but due to internal conflicts, the AFIWG members has fractionated into a smaller group. Implementation of the monitoring and evaluation program continued across protected lands. As of 2008, The Albeni Falls Interagency Work Group (Work Group) is a coalition comprised of wildlife managers from three tribal entities (Kalispel Tribe, Kootenai Tribe, Coeur d Alene Tribe) and the US Army Corps of Engineers. The Work Group directs where wildlife mitigation implementation occurs in the Kootenai, Pend Oreille and Coeur d Alene subbasins. The Work Group is unique in the Columbia Basin. The Columbia Basin Fish and Wildlife Authority (CBFWA) wildlife managers in 1995, approved what was one of the first two project proposals to implement mitigation on a programmatic basis. The maintenance of this kind of approach through time has allowed the Work Group to implement an effective and responsive habitat protection program by reducing administrative costs associated with site-specific project proposals. The core mitigation entities maintain approximately 9,335 acres of wetland/riparian habitats in 2008.

  12. Bonneville Power Administration Wildlife Mitigation Program : Draft Environmental Impact Statement.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1996-08-01

    Bonneville Power Administration (BPA) is responsible for mitigating the loss of wildlife habitat caused by the development of the Federal Columbia River Power System. BPA accomplishes this mitigation by funding projects consistent with those recommended by the Northwest Power Planning Council (Council). The projects are submitted to the Council from Indian Tribes, state agencies, property owners, private conservation groups, and other Federal agencies. Future wildlife mitigation actions with potential environmental impacts are expected to include land acquisition and management, water rights acquisition and management, habitat restoration and enhancement, installation of watering devices, riparian fencing, and similar wildlife conservation actions. BPA needs to ensure that individual wildlife mitigation projects are planned and managed with appropriate consistency across projects, jurisdictions, and ecosystems, as well as across time. BPA proposes to standardize the planning and implementation of individual wildlife mitigation projects funded by BPA. Alternative 1 is the No Action alternative. Five standardizing alternatives are identified to represent the range of possible strategies, goals, and procedural requirements reasonably applicable to BPA-funded projects under a standardized approach to project planning and implementation. All action alternatives are based on a single project planning process designed to resolve site-specific issues in an ecosystem context and to adapt to changing conditions and information.

  13. Quantitative Determination of the Hubbard Model Phase Diagram from Optical Lattice Experiments by Two-Parameter Scaling

    SciTech Connect (OSTI)

    Campo, V. L. Jr.; Capelle, K.; Quintanilla, J.; Hooley, C.

    2007-12-14

    We propose an experiment to obtain the phase diagram of the fermionic Hubbard model, for any dimensionality, using cold atoms in optical lattices. It is based on measuring the total energy for a sequence of trap profiles. It combines finite-size scaling with an additional 'finite-curvature scaling' necessary to reach the homogeneous limit. We illustrate its viability in the 1D case, simulating experimental data in the Bethe-ansatz local-density approximation. Including experimental errors, the filling corresponding to the Mott transition can be determined with better than 3% accuracy.

  14. File:03-TX-e - Lease of Texas Parks & Wildlife Department Land...

    Open Energy Info (EERE)

    3-TX-e - Lease of Texas Parks & Wildlife Department Land (1).pdf Jump to: navigation, search File File history File usage Metadata File:03-TX-e - Lease of Texas Parks & Wildlife...

  15. I.C. 36-103 - Wildlife Property of State--Preservation | Open...

    Open Energy Info (EERE)

    I.C. 36-103 - Wildlife Property of State--Preservation Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- StatuteStatute: I.C. 36-103 - Wildlife...

  16. EIS-0246: Wildlife Mitigation Program, Idaho, Montana, Nevada, Washington, Oregon

    Broader source: Energy.gov [DOE]

    BPA has decided to adopt the set of prescriptions (goals, strategies, and procedural requirements) identified in the final EIS as “Alternative 6, Balanced Action (BPA’s Preferred Alternative).” This decision will standardize the planning and implementation process, while achieving balance among all decision factors: (1) meeting the biological objectives of wildlife mitigation projects, (2) achievement of cost and administrative efficiency, (3) compliance with all applicable laws and regulations, and (4) protection and improvement of other environmental resources when such actions would support wildlife mitigation.

  17. Use of ARM observations and numerical models to determine radiative and latent heating profiles of mesoscale convective systems for general circulation models

    SciTech Connect (OSTI)

    Houze, Jr., Robert A.

    2013-11-13

    We examined cloud radar data in monsoon climates, using cloud radars at Darwin in the Australian monsoon, on a ship in the Bay of Bengal in the South Asian monsoon, and at Niamey in the West African monsoon. We followed on with a more in-depth study of the continental MCSs over West Africa. We investigated whether the West African anvil clouds connected with squall line MCSs passing over the Niamey ARM site could be simulated in a numerical model by comparing the observed anvil clouds to anvil structures generated by the Weather Research and Forecasting (WRF) mesoscale model at high resolution using six different ice-phase microphysical schemes. We carried out further simulations with a cloud-resolving model forced by sounding network budgets over the Niamey region and over the northern Australian region. We have devoted some of the effort of this project to examining how well satellite data can determine the global breadth of the anvil cloud measurements obtained at the ARM ground sites. We next considered whether satellite data could be objectively analyzed to so that their large global measurement sets can be systematically related to the ARM measurements. Further differences were detailed between the land and ocean MCS anvil clouds by examining the interior structure of the anvils with the satellite-detected the CloudSat Cloud Profiling Radar (CPR). The satellite survey of anvil clouds in the Indo-Pacific region was continued to determine the role of MCSs in producing the cloud pattern associated with the MJO.

  18. Scotch Creek Wildlife Area 2007-2008 Annual Report.

    SciTech Connect (OSTI)

    Olson, Jim

    2008-11-03

    The Scotch Creek Wildlife Area is a complex of 6 separate management units located in Okanogan County in North-central Washington State. The project is located within the Columbia Cascade Province (Okanogan sub-basin) and partially addresses adverse impacts caused by the construction of Chief Joseph and Grand Coulee hydroelectric dams. With the acquisition of the Eder unit in 2007, the total size of the wildlife area is now 19,860 acres. The Scotch Creek Wildlife Area was approved as a wildlife mitigation project in 1996 and habitat enhancement efforts to meet mitigation objectives have been underway since the spring of 1997 on Scotch Creek. Continuing efforts to monitor the threatened Sharp-tailed grouse population on the Scotch Creek unit are encouraging. The past two spring seasons were unseasonably cold and wet, a dangerous time for the young of the year. This past spring, Scotch Creek had a cold snap with snow on June 10th, a critical period for young chicks just hatched. Still, adult numbers on the leks have remained stable the past two years. Maintenance of BPA funded enhancements is necessary to protect and enhance shrub-steppe and to recover and sustain populations of Sharp-tailed grouse and other obligate species.

  19. Determining Columbia and Snake River Project Tailrace and Forebay Zones of Hydraulic Influence using MASS2 Modeling

    SciTech Connect (OSTI)

    Rakowski, Cynthia L.; Serkowski, John A.; Richmond, Marshall C.; Perkins, William A.

    2010-12-01

    Although fisheries biology studies are frequently performed at US Army Corps of Engineers (USACE) projects along the Columbia and Snake Rivers, there is currently no consistent definition of the ``forebay'' and ``tailrace'' regions for these studies. At this time, each study may use somewhat arbitrary lines (e.g., the Boat Restriction Zone) to define the upstream and downstream limits of the study, which may be significantly different at each project. Fisheries researchers are interested in establishing a consistent definition of project forebay and tailrace regions for the hydroelectric projects on the lower Columbia and Snake rivers. The Hydraulic Extent of a project was defined by USACE (Brad Eppard, USACE-CENWP) as follows: The river reach directly upstream (forebay) and downstream (tailrace) of a project that is influenced by the normal range of dam operations. Outside this reach, for a particular river discharge, changes in dam operations cannot be detected by hydraulic measurement. The purpose of this study was to, in consultation with USACE and regional representatives, develop and apply a consistent set of criteria for determining the hydraulic extent of each of the projects in the lower Columbia and Snake rivers. A 2D depth-averaged river model, MASS2, was applied to the Snake and Columbia Rivers. New computational meshes were developed most reaches and the underlying bathymetric data updated to the most current survey data. The computational meshes resolved each spillway bay and turbine unit at each project and extended from project to project. MASS2 was run for a range of total river flows and each flow for a range of project operations at each project. The modeled flow was analyzed to determine the range of velocity magnitude differences and the range of flow direction differences at each location in the computational mesh for each total river flow. Maps of the differences in flow direction and velocity magnitude were created. USACE fishery biologists requested data analysis to determine the project hydraulic extent based on the following criteria: 1) For areas where the mean velocities are less than 4 ft/s, the water velocity differences between operations are not greater than 0.5 ft/sec and /or the differences in water flow direction are not greater than 10 degrees, 2) If mean water velocity is 4.0 ft/second or greater the boundary is determined using the differences in water flow direction (i.e., not greater than 10 degrees). Based on these criteria, and excluding areas with a mean velocity of less than 0.1 ft/s (within the error of the model), a final set of graphics were developed that included data from all flows and all operations. Although each hydroelectric project has a different physical setting, there were some common results. The downstream hydraulic extent tended to be greater than the hydraulic extent in the forebay. The hydraulic extent of the projects tended to be larger at the mid-range flows. At higher flows, the channel geometry tends to reduce the impact of project operations.

  20. WTP Calculation Sheet: Determining the LAW Glass Former Constituents and Amounts for G2 and Acm Models. 24590-LAW-M4C-LFP-00002, Rev. B

    SciTech Connect (OSTI)

    Gimpel, Rodney F.; Kruger, Albert A.

    2013-12-16

    The purpose of this calculation is to determine the LAW glass former recipe and additives with their respective amounts. The methodology and equations contained herein are to be used in the G2 and ACM models until better information is supplied by R&T efforts. This revision includes calculations that determines the mass and volume of the bulk chemicals/minerals needed per batch. Plus, it contains calculations (for the G2 model) to help prevent overflow in LAW Feed Preparation Vessel.

  1. Monte Carlo determination of the low-energy constants of a spin-(1/2) Heisenberg model with spatial anisotropy

    SciTech Connect (OSTI)

    Jiang, F.-J.; Nyfeler, M.; Kaempfer, F.

    2009-07-15

    Motivated by the possible mechanism for the pinning of the electronic liquid crystal direction in YBa{sub 2}Cu{sub 3}O{sub 6.45} as proposed by Pardini et al. [Phys. Rev. B 78, 024439 (2008)], we use the first-principles Monte Carlo method to study the spin-(1/2) Heisenberg model with antiferromagnetic couplings J{sub 1} and J{sub 2} on the square lattice. In particular, the low-energy constants spin stiffness {rho}{sub s}, staggered magnetization M{sub s}, and spin wave velocity c are determined by fitting the Monte Carlo data to the predictions of magnon chiral perturbation theory. Further, the spin stiffnesses {rho}{sub s1} and {rho}{sub s2} as a function of the ratio J{sub 2}/J{sub 1} of the couplings are investigated in detail. Although we find a good agreement between our results with those obtained by the series expansion method in the weakly anisotropic regime, for strong anisotropy we observe discrepancies.

  2. Wildlife Protection, Mitigation, and Enhancement Planning Phase II, Dworshak Reservoir, Final Report.

    SciTech Connect (OSTI)

    Hansen, H. Jerome; Martin, Robert C.

    1989-11-01

    The Pacific Northwest Electric Power Planning and Conservation Act of 1980 directed that measures be implemented to protect, mitigate, and enhance fish and wildlife to the extent affected by development and operation of hydropower projects on the Columbia River System. This Act created the Northwest Power Planning Council, which in turn developed the Columbia River Basin Fish and Wildlife Program. This program established a four-part process: wildlife mitigation status reports; wildlife impact assessments; wildlife protection, mitigation, and enhancement plans; and implementation of protection, mitigation, and enhancement projects. This mitigation plan for the Dworshak Reservoir Hydroelectric Facility was developed to fulfill requirements of Sections 1003(b)(2) and (3) of the Columbia River Basin Fish and Wildlife Program. Specific objectives of wildlife protection, mitigation, and enhancement planning for Dworshak Reservoir included: quantify net impacts to target wildlife species affected by hydroelectric development and operation of Dworshak Dam and Reservoir; develop protection, mitigation, and enhancement goals and objectives for the target wildlife species; recommend protection, mitigation, and enhancement actions for the target wildlife species; and coordination of project activities. 46 refs., 4 figs., 31 tabs.

  3. Wanaket Wildlife Area Management Plan : Five-Year Plan for Protecting, Enhancing, and Mitigating Wildlife Habitat Losses for the McNary Hydroelectric Facility.

    SciTech Connect (OSTI)

    Confederated Tribes of the Umatilla Indian Reservation Wildlife Program

    2001-09-01

    The Confederated Tribes of the Umatilla Indian Reservation (CTUIR) propose to continue to protect, enhance, and mitigate wildlife and wildlife habitat at the Wanaket Wildlife Area. The Wanaket Wildlife Area was approved as a Columbia River Basin Wildlife Mitigation Project by the Bonneville Power Administration (BPA) and Northwest Power Planning Council (NWPPC) in 1993. This management plan will provide an update of the original management plan approved by BPA in 1995. Wanaket will contribute towards meeting BPA's obligation to compensate for wildlife habitat losses resulting from the construction of the McNary Hydroelectric facility on the Columbia River. By funding the enhancement and operation and maintenance of the Wanaket Wildlife Area, BPA will receive credit towards their mitigation debt. The purpose of the Wanaket Wildlife Area management plan update is to provide programmatic and site-specific standards and guidelines on how the Wanaket Wildlife Area will be managed over the next five years. This plan provides overall guidance on both short and long term activities that will move the area towards the goals, objectives, and desired future conditions for the planning area. The plan will incorporate managed and protected wildlife and wildlife habitat, including operations and maintenance, enhancements, and access and travel management. Specific project objectives are related to protection and enhancement of wildlife habitats and are expressed in terms of habitat units (HU's). Habitat units were developed by the US Fish and Wildlife Service's Habitat Evaluation Procedures (HEP), and are designed to track habitat gains and/or losses associated with mitigation and/or development projects. Habitat Units for a given species are a product of habitat quantity (expressed in acres) and habitat quality estimates. Habitat quality estimates are developed using Habitat Suitability Indices (HSI). These indices are based on quantifiable habitat features such as vegetation height, shrub cover, or other parameters, which are known to provide life history requisites for mitigation species. Habitat Suitability Indices range from 0 to 1, with an HSI of 1 providing optimum habitat conditions for the selected species. One acre of optimum habitat provides one Habitat Unit. The objective of continued management of the Wanaket Wildlife Mitigation Area, including protection and enhancement of upland and wetland/wetland associated cover types, is to provide and maintain 2,334 HU's of protection credit and generate 2,495 HU's of enhancement credit by the year 2004.

  4. US Fish and Wildlife Service lands biomonitoring operations manual

    SciTech Connect (OSTI)

    Rope, R.C.; Breckenridge, R.P.

    1993-08-01

    This is Volume 1 of an operations manual designed to facilitate the development of biomonitoring strategies for U.S. Fish and Wildlife Service Lands. It is one component of the U.S. Fish and Wildlife Service Lands Biomonitoring Operations Manual. The Volume contains the Introduction to the Manual, background information on monitoring, and procedures for developing a biomonitoring strategy for Service lands. The purpose of the Biomonitoring Operations Manual is to provide an approach to develop and implement biomonitoring activities to assess the status and trends of U.S. Fish and Wildlife Service trust resources. It also provides field sampline methods and documentation protocols for contaminant monitoring activities. The strategy described in the Manual has been designed as a stand alone process to characterize the presence of contaminants on lands managed by the Service. This process can be sued to develop a monitoring program for any tract of real estate with potential threats from on- or off-site contaminants. Because the process was designed to address concerns for Service lands that span the United States from Alaska to the Tropical Islands, it has a generic format that can be used in al types of ecosystems, however, significant site specific informtion is required to complete the Workbook and make the process work successfully.

  5. Wind-Wildlife Impacts Literature Database (WILD)(Fact Sheet), NREL (National Renewable Energy Laboratory)

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

    Wind-Wildlife Impacts Literature Database (WILD) What is WILD? The Wind-Wildlife Impacts Literature Database (WILD), developed and main- tained by the National Wind Technology Center (NWTC) at the National Renewable Energy Laboratory (NREL), is comprised of over 1,000 citations pertaining to the effects of land-based wind, offshore wind, marine and hydrokinetic power systems, power lines, and communication and television towers on wildlife. For the wind energy sector, WILD serves as an

  6. Wildlife Mitigation and Restoration for Grand Coulee Dam: Blue Creek Project, Phase 1.

    SciTech Connect (OSTI)

    Merker, Christopher

    1993-04-01

    This report is a recommendation from the Spokane Tribe to the Northwest Power Planning Council (NPPC) for partial mitigation for the extensive wildlife and wildlife habitat losses on the Spokane Indian Reservation caused by the construction of Grand Coulee Dam. NPPC`s interim wildlife goal over the next 7 years for the Columbia hydropower system, is to protect, mitigate and enhance approximately 35% basin wide of the lost habitat units. Grand Coulee Dam had the greatest habitat losses of any Dams of the Wildlife Rule.

  7. Bioenergy Technologies Office: Association of Fish and Wildlife Agencies Agricultural Conservation Committee Meeting

    Broader source: Energy.gov [DOE]

    This presentation was given on March 29, 2013, by Kristen Johnson to the Association of Fish & Wildlife Agencies and addresses BETO's work and sustainability efforts.

  8. Great Lakes water quality initiative criteria documents for the protection of wildlife (proposed): DDT, mercury 2,3,7,8-TCDD and PCBs

    SciTech Connect (OSTI)

    Bradbury, S.; Nolt, C.; Goodman, B.; Stromborg, K.; Sullivan, J.

    1993-04-01

    The document outlines, for each category of contaminant listed in the title, the relevant literature, the calculation of mammalian wildlife value, the calculation of Avian Wildlife Value, and the Great Lakes Wildlife criterion.

  9. Columbia Basin Fish and Wildlife Authority Project Abstracts; May 25-27, Portland, Oregon, 1997 Annual Review.

    SciTech Connect (OSTI)

    Allee, Brian J.

    1997-06-26

    Abstracts are presented from the 1997 Columbia Basin Fish and Wildlife Program Review of Projects. The purpose was to provide information and education on the approximate 127 million dollars in Northwest electric ratepayer fish and wildlife mitigation projects funded annually.

  10. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings

    SciTech Connect (OSTI)

    2012-12-03

    First they had a vision: welcome people into a building embracing environmental stewardship on land that is steeped in history. The designers of the U.S. Fish and Wildlife Service took this vision and designed a new energy-efficient and environmentally friendly visitor center for the Assabet River National Wildlife Refuge located in Sudbury, Massachusetts.

  11. Status Review of Wildlife Mitigation at Columbia Basin Hydroelectric Projects, Oregon Facilities, Final Report.

    SciTech Connect (OSTI)

    Bedrossian, Karen L.

    1984-08-01

    The report presents a review and documentation of existing information on wildlife resources at Columbia River Basin hydroelectric facilities within Oregon. Effects of hydroelectric development and operation; existing agreements; and past, current and proposed wildlife mitigation, enhancement, and protection activities were considered. (ACR)

  12. Implementation and Evaluation of the Virtual Fields Method: Determining Constitutive Model Parameters From Full-Field Deformation Data.

    SciTech Connect (OSTI)

    Kramer, Sharlotte Lorraine Bolyard; Scherzinger, William M.

    2014-09-01

    The Virtual Fields Method (VFM) is an inverse method for constitutive model parameter identication that relies on full-eld experimental measurements of displacements. VFM is an alternative to standard approaches that require several experiments of simple geometries to calibrate a constitutive model. VFM is one of several techniques that use full-eld exper- imental data, including Finite Element Method Updating (FEMU) techniques, but VFM is computationally fast, not requiring iterative FEM analyses. This report describes the im- plementation and evaluation of VFM primarily for nite-deformation plasticity constitutive models. VFM was successfully implemented in MATLAB and evaluated using simulated FEM data that included representative experimental noise found in the Digital Image Cor- relation (DIC) optical technique that provides full-eld displacement measurements. VFM was able to identify constitutive model parameters for the BCJ plasticity model even in the presence of simulated DIC noise, demonstrating VFM as a viable alternative inverse method. Further research is required before VFM can be adopted as a standard method for constitu- tive model parameter identication, but this study is a foundation for ongoing research at Sandia for improving constitutive model calibration.

  13. An ecosystem approach to fish and wildlife conservation

    SciTech Connect (OSTI)

    Roeper, N.

    1995-12-01

    The U.S. Fish and Wildlife (Service) has embraced an ecosystem approach as a more effective way to protect and conserve the nation`s wildlife and the habitat upon which it depends. This does not represent a sharp reversal in our past policies. Rather, it formalizes, builds upon, and expands past efforts that were already moving away from short-term fixes and toward long-term solutions; away from artificially mimicking natural processes and towards restoration of natural processes. The Service reorganized nationwide and established cross-program watershed-based teams to overcome internal barriers and to better incorporate input from our partners. Although watershed are an important way to delineate boundaries, boundaries are actually issue-dependent and therefore quite fluid. Two examples of an ecosystem approach demonstrate the Service`s commitment to policies, decisions, and actions that are based on ecological principles, stress prevention over restoration, support long-term solutions based on natural time scales and over large geographic areas, and consider input from our partners.

  14. Use of molecular modeling to determine the interaction and competition of gases within coal for carbon dioxide sequestration

    SciTech Connect (OSTI)

    Jeffrey D. Evanseck; Jeffry D. Madura; Jonathan P. Mathews

    2006-04-21

    Molecular modeling was employed to both visualize and probe our understanding of carbon dioxide sequestration within a bituminous coal. A large-scale (>20,000 atoms) 3D molecular representation of Pocahontas No. 3 coal was generated. This model was constructed based on a the review data of Stock and Muntean, oxidation and decarboxylation data for aromatic clustersize frequency of Stock and Obeng, and the combination of Laser Desorption Mass Spectrometry data with HRTEM, enabled the inclusion of a molecular weight distribution. The model contains 21,931 atoms, with a molecular mass of 174,873 amu, and an average molecular weight of 714 amu, with 201 structural components. The structure was evaluated based on several characteristics to ensure a reasonable constitution (chemical and physical representation). The helium density of Pocahontas No. 3 coal is 1.34 g/cm{sup 3} (dmmf) and the model was 1.27 g/cm{sup 3}. The structure is microporous, with a pore volume comprising 34% of the volume as expected for a coal of this rank. The representation was used to visualize CO{sub 2}, and CH{sub 4} capacity, and the role of moisture in swelling and CO{sub 2}, and CH{sub 4} capacity reduction. Inclusion of 0.68% moisture by mass (ash-free) enabled the model to swell by 1.2% (volume). Inclusion of CO{sub 2} enabled volumetric swelling of 4%.

  15. Determination of equilibrium electron temperature and times using an electron swarm model with BOLSIG+ calculated collision frequencies and rate coefficients

    SciTech Connect (OSTI)

    Pusateri, Elise N.; Morris, Heidi E.; Nelson, Eric M.; Ji, Wei

    2015-08-04

    Electromagnetic pulse (EMP) events produce low-energy conduction electrons from Compton electron or photoelectron ionizations with air. It is important to understand how conduction electrons interact with air in order to accurately predict EMP evolution and propagation. An electron swarm model can be used to monitor the time evolution of conduction electrons in an environment characterized by electric field and pressure. Here a swarm model is developed that is based on the coupled ordinary differential equations (ODEs) described by Higgins et al. (1973), hereinafter HLO. The ODEs characterize the swarm electric field, electron temperature, electron number density, and drift velocity. Important swarm parameters, the momentum transfer collision frequency, energy transfer collision frequency, and ionization rate, are calculated and compared to the previously reported fitted functions given in HLO. These swarm parameters are found using BOLSIG+, a two term Boltzmann solver developed by Hagelaar and Pitchford (2005), which utilizes updated cross sections from the LXcat website created by Pancheshnyi et al. (2012). We validate the swarm model by comparing to experimental effective ionization coefficient data in Dutton (1975) and drift velocity data in Ruiz-Vargas et al. (2010). In addition, we report on electron equilibrium temperatures and times for a uniform electric field of 1 StatV/cm for atmospheric heights from 0 to 40 km. We show that the equilibrium temperature and time are sensitive to the modifications in the collision frequencies and ionization rate based on the updated electron interaction cross sections.

  16. Determination of equilibrium electron temperature and times using an electron swarm model with BOLSIG+ calculated collision frequencies and rate coefficients

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

    Pusateri, Elise N.; Morris, Heidi E.; Nelson, Eric M.; Ji, Wei

    2015-08-04

    Electromagnetic pulse (EMP) events produce low-energy conduction electrons from Compton electron or photoelectron ionizations with air. It is important to understand how conduction electrons interact with air in order to accurately predict EMP evolution and propagation. An electron swarm model can be used to monitor the time evolution of conduction electrons in an environment characterized by electric field and pressure. Here a swarm model is developed that is based on the coupled ordinary differential equations (ODEs) described by Higgins et al. (1973), hereinafter HLO. The ODEs characterize the swarm electric field, electron temperature, electron number density, and drift velocity. Importantmore » swarm parameters, the momentum transfer collision frequency, energy transfer collision frequency, and ionization rate, are calculated and compared to the previously reported fitted functions given in HLO. These swarm parameters are found using BOLSIG+, a two term Boltzmann solver developed by Hagelaar and Pitchford (2005), which utilizes updated cross sections from the LXcat website created by Pancheshnyi et al. (2012). We validate the swarm model by comparing to experimental effective ionization coefficient data in Dutton (1975) and drift velocity data in Ruiz-Vargas et al. (2010). In addition, we report on electron equilibrium temperatures and times for a uniform electric field of 1 StatV/cm for atmospheric heights from 0 to 40 km. We show that the equilibrium temperature and time are sensitive to the modifications in the collision frequencies and ionization rate based on the updated electron interaction cross sections.« less

  17. Determination of equilibrium electron temperature and times using an electron swarm model with BOLSIG+ calculated collision frequencies and rate coefficients

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

    Pusateri, Elise N.; Morris, Heidi E.; Nelson, Eric M.; Ji, Wei

    2015-08-04

    Electromagnetic pulse (EMP) events produce low-energy conduction electrons from Compton electron or photoelectron ionizations with air. It is important to understand how conduction electrons interact with air in order to accurately predict EMP evolution and propagation. An electron swarm model can be used to monitor the time evolution of conduction electrons in an environment characterized by electric field and pressure. Here a swarm model is developed that is based on the coupled ordinary differential equations (ODEs) described by Higgins et al. (1973), hereinafter HLO. The ODEs characterize the swarm electric field, electron temperature, electron number density, and drift velocity. Importantmore »swarm parameters, the momentum transfer collision frequency, energy transfer collision frequency, and ionization rate, are calculated and compared to the previously reported fitted functions given in HLO. These swarm parameters are found using BOLSIG+, a two term Boltzmann solver developed by Hagelaar and Pitchford (2005), which utilizes updated cross sections from the LXcat website created by Pancheshnyi et al. (2012). We validate the swarm model by comparing to experimental effective ionization coefficient data in Dutton (1975) and drift velocity data in Ruiz-Vargas et al. (2010). In addition, we report on electron equilibrium temperatures and times for a uniform electric field of 1 StatV/cm for atmospheric heights from 0 to 40 km. We show that the equilibrium temperature and time are sensitive to the modifications in the collision frequencies and ionization rate based on the updated electron interaction cross sections.« less

  18. 1995 Annual wildlife survey report. Natural Resource Protection and Compliance Program

    SciTech Connect (OSTI)

    1996-04-25

    This report summarizes the results of wildlife surveys performed at Rocky Flats Environmental Technology Site (RFETS) from January through December of 1995 as compared with results from previous years. These surveys were performed as part of a long-term ecological monitoring program conducted under the Natural Resource Protection and Compliance Program (NRPCP). This program is essential in identifying and describing fluctuations of wildlife populations, wildlife habitat use, and changes in species using RFETS. The NRPCP provides support to the Department of Energy (DOE) in its role as Natural Resource Trustee, and provides data essential to accomplishing the goal of preserving the unique ecological values of RFETS in keeping with the Rocky Flats Vision presented in the Rocky Flats Cleanup Agreement Public Comment Draft. Wildlife population densities vary due to natural pressures and human influences, and only long-term monitoring can verify which factors influencing wildlife populations are the consequence of natural fluctuations, and which are due to human influences. The wildlife monitoring described in this report provides qualitative data that give an indication of the ecological health of RFETS. Monitoring numbers, habitat affinities, and apparent health of the wildlife populations makes it possible to evaluate the overall ecological health of the site. Monitoring and surveys such as those carried out by the NRPCP can indicate trends of this sort, and act as an {open_quotes}early warning system{close_quotes} for impending ecological problems.

  19. 1994 Annual wildlife survey report. Natural Resource Protection and Compliance Program

    SciTech Connect (OSTI)

    1995-04-24

    This report summarizes the results of wildlife surveys and other wildlife monitoring performed from January through December 1994. These surveys are part of a long-term ecological monitoring program conducted under the Natural Resource Protection and Compliance Program (NRPCP). This program is essential in identifying and quantifying fluctuations of wildlife populations, wildlife habitat use, and changes in the species using the Rocky Flats Environmental Technology Site (Site) as year-round or seasonal habitat. Wildlife population densities vary constantly due to natural pressures, and only well-integrated, long-term monitoring can identify which factors influencing wildlife populations are a consequence of natural causes, and which are due to human activities. An integrated monitoring program that gathers data on ecologically interactive species is essential in evaluating population fluctuations. Such data can be an invaluable tool in predicting and avoiding impacts on the ecology of an area due to projected human activities. With 167 species of birds, three big game species, nine species of carnivores, nine species of mid-sized mammals, and 15 small mammal species, the Site provides habitat to a surprising variety of wildlife. Many of these species are sensitive species or indicator organisms that by their presence or, more significantly, by their absence can indicate the ecological health of an area. Their presence at the Site indicates a very healthy ecosystem.

  20. Washington Wildlife Mitigation Projects : Final Programmatic Environmental Assessment and Finding of No Significant Impact.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration; Washington . Dept. of Fish and Wildlife.

    1996-08-01

    Bonneville Power Administration (BPA) proposes to fund the portion of the Washington Wildlife Mitigation Agreement (Agreement) pertaining to wildlife habitat mitigation projects to be undertaken in a cooperative effort with the Washington Department of Fish and Wildlife (WDFW). This Agreement serves to establish a monetary budget funded by BPA for projects proposed by Washington Wildlife Coalition members and approved by BPA to protect, mitigate, and improve wildlife and/or wildlife habitat within the State of Washington that has been affected by the construction of Federal dams along the Columbia River. This Environmental Assessment examines the potential environmental effects of acquiring and/or improving wildlife habitat within five different project areas. These project areas are located throughout Grant County and in parts of Okanogan, Douglas, Adams, Franklin, Kittias, Yakima, and Benton Counties. The multiple projects would involve varying combinations of five proposed site-specific activities (habitat improvement, operation and maintenance, monitoring and evaluation, access and recreation management, and cultural resource management). All required Federal, State, and tribal coordination, permits and/or approvals would be obtained prior to ground-disturbing activities.

  1. MO-G-BRF-05: Determining Response to Anti-Angiogenic Therapies with Monte Carlo Tumor Modeling

    SciTech Connect (OSTI)

    Valentinuzzi, D; Simoncic, U; Jeraj, R; Titz, B

    2014-06-15

    Purpose: Patient response to anti-angiogenic therapies with vascular endothelial growth factor receptor - tyrosine kinase inhibitors (VEGFR TKIs) is heterogeneous. This study investigates key biological characteristics that drive differences in patient response via Monte Carlo computational modeling capable of simulating tumor response to therapy with VEGFR TKI. Methods: VEGFR TKIs potently block receptors, responsible for promoting angiogenesis in tumors. The model incorporates drug pharmacokinetic and pharmacodynamic properties, as well as patientspecific data of cellular proliferation derived from [18F]FLT-PET data. Sensitivity of tumor response was assessed for multiple parameters, including initial partial oxygen tension (pO{sub 2}), cell cycle time, daily vascular growth fraction, and daily vascular regression fraction. Results were benchmarked to clinical data (patient 2 weeks on VEGFR TKI, followed by 1-week drug holiday). The tumor pO{sub 2} was assumed to be uniform. Results: Among the investigated parameters, the simulated proliferation was most sensitive to the initial tumor pO{sub 2}. Initial change of 5 mmHg can already Result in significantly different levels of proliferation. The model reveals that hypoxic tumors (pO{sub 2} ? 20 mmHg) show the highest decrease of proliferation, experiencing mean FLT standardized uptake value (SUVmean) decrease for at least 50% at the end of the clinical trial (day 21). Oxygenated tumors (pO{sub 2} 20 mmHg) show a transient SUV decrease (30–50%) at the end of the treatment with VEGFR TKI (day 14) but experience a rapid SUV rebound close to the pre-treatment SUV levels (70–110%) at the time of a drug holiday (day 14–21) - the phenomenon known as a proliferative flare. Conclusion: Model's high sensitivity to initial pO{sub 2} clearly emphasizes the need for experimental assessment of the pretreatment tumor hypoxia status, as it might be predictive of response to antiangiogenic therapies and the occurrence of proliferative flare. Experimental assessment of other model parameters would further improve understanding of patient response.

  2. Categorical Exclusion Determinations: B1.11 | Department of Energy

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

    1 Categorical Exclusion Determinations: B1.11 Existing Regulations B1.11: Fencing Installation of fencing, including, but not limited to border marking, that would not have the potential to significantly impede wildlife population movement (including migration) or surface water flow. Previous Regulations Categorical Exclusion Determinations dated before November 14th, 2011 were issued under previous DOE NEPA regulations. See the Notice of Final Rulemaking (76 FR 63763, 10/13/2011) for

  3. Categorical Exclusion Determinations: B4.5 | Department of Energy

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

    5 Categorical Exclusion Determinations: B4.5 Existing Regulations B4.5: Temporary adjustments to river operations Temporary adjustments to river operations to accommodate day-to-day river fluctuations, power demand changes, fish and wildlife conservation program requirements, and other external events, provided that the adjustments would occur within the existing operating constraints of the particular hydrosystem operation. Previous Regulations Categorical Exclusion Determinations dated before

  4. Determination of filter-cake thicknesses from on-line flow measurements and gas/particle transport modeling

    SciTech Connect (OSTI)

    Smith, D.H.; Powell, V.; Ibrahim, E.; Ferer, M.; Ahmadi, G.

    1996-12-31

    The use of cylindrical candle filters to remove fine ({approx}0.005 mm) particles from hot ({approx}500- 900{degrees}C) gas streams currently is being developed for applications in advanced pressurized fluidized bed combustion (PFBC) and integrated gasification combined cycle (IGCC) technologies. Successfully deployed with hot-gas filtration, PFBC and IGCC technologies will allow the conversion of coal to electrical energy by direct passage of the filtered gases into non-ruggedized turbines and thus provide substantially greater conversion efficiencies with reduced environmental impacts. In the usual approach, one or more clusters of candle filters are suspended from a tubesheet in a pressurized (P {approx_lt}1 MPa) vessel into which hot gases and suspended particles enter, the gases pass through the walls of the cylindrical filters, and the filtered particles form a cake on the outside of each filter. The cake is then removed periodically by a backpulse of compressed air from inside the filter, which passes through the filter wall and filter cake. In various development or demonstration systems the thickness of the filter cake has proved to be an important, but unknown, process parameter. This paper describes a physical model for cake and pressure buildups between cleaning backpulses, and for longer term buildups of the ``baseline`` pressure drop, as caused by incomplete filter cleaning and/or re-entrainment. When combined with operating data and laboratory measurements of the cake porosity, the model may be used to calculate the (average) filter permeability, the filter-cake thickness and permeability, and the fraction of filter-cake left on the filter by the cleaning backpulse or re-entrained after the backpulse. When used for a variety of operating conditions (e.g., different coals, sorbents, temperatures, etc.), the model eventually may provide useful information on how the filter-cake properties depend on the various operating parameters.

  5. Photo of the Week: Rocky Flats Wildlife Refuge | Department of Energy

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

    Rocky Flats Wildlife Refuge Photo of the Week: Rocky Flats Wildlife Refuge December 21, 2012 - 11:27am Addthis The Rocky Flats Plant was first established in 1951 as a nuclear weapons manufacturing facility. Today, almost 4,000 acres make up the Rocky Flats National Wildlife Refuge. Located just 16 miles northwest of Denver, Colorado, the refuge provides a habitat for migratory birds and mammals. | Photo courtesy of the U.S. Department of Energy. The Rocky Flats Plant was first established in

  6. Use of ARM observations and numerical models to determine radiative and latent heating profiles of mesoscale convective systems for general circulation models

    SciTech Connect (OSTI)

    Tao, Wei-Kuo; Houze, Robert, A., Jr.; Zeng, Xiping

    2013-03-14

    This three-year project, in cooperation with Professor Bob Houze at University of Washington, has been successfully finished as planned. Both ARM (the Atmospheric Radiation Measurement Program) data and cloud-resolving model (CRM) simulations were used to identify the water budgets of clouds observed in two international field campaigns. The research results achieved shed light on several key processes of clouds in climate change (or general circulation models), which are summarized below. 1. Revealed the effect of mineral dust on mesoscale convective systems (MCSs) Two international field campaigns near a desert and a tropical coast provided unique data to drive and evaluate CRM simulations, which are TWP-ICE (the Tropical Warm Pool International Cloud Experiment) and AMMA (the African Monsoon Multidisciplinary Analysis). Studies of the two campaign data were contrasted, revealing that much mineral dust can bring about large MCSs via ice nucleation and clouds. This result was reported as a PI presentation in the 3rd ASR Science Team meeting held in Arlington, Virginia in March 2012. A paper on the studies was published in the Journal of the Atmospheric Sciences (Zeng et al. 2013). 2. Identified the effect of convective downdrafts on ice crystal concentration Using the large-scale forcing data from TWP-ICE, ARM-SGP (the Southern Great Plains) and other field campaigns, Goddard CRM simulations were carried out in comparison with radar and satellite observations. The comparison between model and observations revealed that convective downdrafts could increase ice crystal concentration by up to three or four orders, which is a key to quantitatively represent the indirect effects of ice nuclei, a kind of aerosol, on clouds and radiation in the Tropics. This result was published in the Journal of the Atmospheric Sciences (Zeng et al. 2011) and summarized in the DOE/ASR Research Highlights Summaries (see http://www.arm.gov/science/highlights/RMjY5/view). 3. Used radar observations to evaluate model simulations In cooperation with Profs. Bob Houze at University of Washington and Steven Rutledge at Colorado State University, numerical model results were evaluated with observations from W- and C-band radars and CloudSat/TRMM satellites. These studies exhibited some shortcomings of current numerical models, such as too little of thin anvil clouds, directing the future improvement of cloud microphysics parameterization in CRMs. Two papers of Powell et al (2012) and Zeng et al. (2013), summarizing these studies, were published in the Journal of the Atmospheric Sciences. 4. Analyzed the water budgets of MCSs Using ARM data from TWP-ICE, ARM-SGP and other field campaigns, the Goddard CRM simulations were carried out to analyze the water budgets of clouds from TWP-ICE and AMMA. The simulations generated a set of datasets on clouds and radiation, which are available http://cloud.gsfc.nasa.gov/. The cloud datasets were available for modelers and other researchers aiming to improve the representation of cloud processes in multi-scale modeling frameworks, GCMs and climate models. Special datasets, such as 3D cloud distributions every six minutes for TWP-ICE, were requested and generated for ARM/ASR investigators. Data server records show that 86,206 datasets were downloaded by 120 users between April of 2010 and January of 2012. 5. MMF simulations The Goddard MMF (multi-scale modeling framework) has been improved by coupling with the Goddard Land Information System (LIS) and the Goddard Earth Observing System Model, Version 5 (GOES5). It has also been optimized on NASA HEC supercomputers and can be run over 4000 CPUs. The improved MMF with high horizontal resolution (1 x 1 degree) is currently being applied to cases covering 2005 and 2006. The results show that the spatial distribution pattern of precipitation rate is well simulated by the MMF through comparisons with satellite retrievals from the CMOPRH and GPCP data sets. In addition, the MMF results were compared with three reanalyses (MERRA, ERA-Interim and CFSR). Although the MMF tends to produce a higher precipitation rate over some topical regions, it actually well captures the variations in the zonal and meridional means. Among the three reanalyses, ERA-Interim seems to have values close to those of the satellite retrievals especially for GPCP. It is interesting to note that the MMF obtained the best results in the rain forest of Africa even better than those of CFSR and ERA-Interim, when compared to CMORPH. MERRA fails to capture the precipitation in this region. We are now collaborating with Steve Rutledge (CSU) to validate the model results for AMMA 6. MC3E and the diurnal variation of precipitation processes The Midlatitude Continental Convective Clouds Experiment (MC3E) was a joint field campaign between the U.S. Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility and the NASA Global Precipitation Measurement (GPM) mission Ground Validation (GV) program. It took place in central Oklahoma during the period April 22 _ June 6, 2011. Some of its major objectives involve the use of CRMs in precipitation science such as: (1) testing the fidelity of CRM simulations via intensive statistical comparisons between simulated and observed cloud properties and latent heating fields for a variety of case types, (2) establishing the limits of CRM space-time integration capabilities for quantitative precipitation estimates, and (3) supporting the development and refinement of physically-based GMI, DPR, and DPR-GMI combined retrieval algorithms using ground-based GPM GV Ku-Ka band radar and CRM simulations. The NASA unified WRF model (nu-WRF) was used for real time forecasts during the field campaign, and ten precipitation events were selected for post mission simulations. These events include well-organized squall lines, scattered storms and quasi-linear storms. A paper focused on the diurnal variation of precipitation will be submitted in September 2012. The major highlights are as follows: a. The results indicate that NU-WRF model could capture observed diurnal variation of rainfall (composite not individual); b. NU-WRF model could simulate two different types (propagating and local type) of the diurnal variation of rainfall; c. NU-WRF model simulation show very good agreement with observation in terms of precipitation pattern (linear MCS), radar reflectivity (a second low peak – shallow convection); d. NU-WRF model simulation indicates that the cool-pool dynamic is the main physical process for MCS propagation speed; e. Surface heat fluxes (including land surface model and initial surface condition) do not play a major role in phase of diurnal variation (change rainfall amount slightly); f. Terrain effect is important for initial stage of MCS (rainfall is increased and close to observation by increasing the terrain height that is also close to observed); g. Diurnal variation of radiation is not important for the simulated variation of rainfall. Publications: Zeng, X., W.-K. Tao, S. Powell, R. Houze, Jr., P. Ciesielski, N. Guy, H. Pierce and T. Matsui, 2012: A comparison of the water budgets between clouds from AMMA and TWP-ICE. J. Atmos. Sci., 70, 487-503. Powell, S. W., R. A. Houze, Jr., A. Kumar, and S. A. McFarlane, 2012: Comparison of simulated and observed continental tropical anvil clouds and their radiative heating profiles. J. Atmos. Sci., 69, 2662-2681. Zeng, X., W.-K. Tao, T. Matsui, S. Xie, S. Lang, M. Zhang, D. Starr, and X. Li, 2011: Estimating the Ice Crystal Enhancement Factor in the Tropics. J. Atmos. Sci., 68, 1424-1434. Conferences: Zeng, X., W.-K. Tao, S. Powell, R. Houze, Jr., P. Ciesielski, N. Guy, H. Pierce and T. Matsui, 2012: Comparison of water budget between AMMA and TWP-ICE clouds. The 3rd Annual ASR Science Team Meeting. Arlington, Virginia, Mar. 12-16, 2012. Zeng, X., W.-K. Tao, S. Powell, R. A. Houze Jr., and P. Ciesielski, 2011: Comparing the water budgets between AMMA and TWP-ICE clouds. Fall 2011 ASR Working Group Meeting. Annapolis, September 12-16, 2011. Zeng, X. et al., 2011: Introducing ice nuclei into turbulence parameterizations in CRMs. Fall 2011 ASR Working Group Meeting. Annapolis, September 12-16, 2011.

  7. Assessment of Current Process Modeling Approaches to Determine Their Limitations, Applicability and Developments Needed for Long-Fiber Thermoplastic Injection Molded Composites

    SciTech Connect (OSTI)

    Nguyen, Ba Nghiep; Holbery, Jim; Smith, Mark T.; Kunc, Vlastimil; Norris, Robert E.; Phelps, Jay; Tucker III, Charles L.

    2006-11-30

    This report describes the status of the current process modeling approaches to predict the behavior and flow of fiber-filled thermoplastics under injection molding conditions. Previously, models have been developed to simulate the injection molding of short-fiber thermoplastics, and an as-formed composite part or component can then be predicted that contains a microstructure resulting from the constituents’ material properties and characteristics as well as the processing parameters. Our objective is to assess these models in order to determine their capabilities and limitations, and the developments needed for long-fiber injection-molded thermoplastics (LFTs). First, the concentration regimes are summarized to facilitate the understanding of different types of fiber-fiber interaction that can occur for a given fiber volume fraction. After the formulation of the fiber suspension flow problem and the simplification leading to the Hele-Shaw approach, the interaction mechanisms are discussed. Next, the establishment of the rheological constitutive equation is presented that reflects the coupled flow/orientation nature. The decoupled flow/orientation approach is also discussed which constitutes a good simplification for many applications involving flows in thin cavities. Finally, before outlining the necessary developments for LFTs, some applications of the current orientation model and the so-called modified Folgar-Tucker model are illustrated through the fiber orientation predictions for selected LFT samples.

  8. Division of Fish and Wildlife Program Summary, 1985-1986 Progress Report.

    SciTech Connect (OSTI)

    Kiilsgaard, Chris

    1986-12-01

    This report describes the organization of the Division of Fish and Wildlife programs of Bonneville Power Administration, its budget, and research programs funded by it during FY 1986. (ACR)

  9. 516 DM Chapter 8 Managing the NEPA Process U.S. Fish and Wildlife...

    Open Energy Info (EERE)

    8 Managing the NEPA Process U.S. Fish and Wildlife Service Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: 516 DM Chapter 8 Managing...

  10. The Fish and Wildlife Service Manual, Part 603 FW 2 | Open Energy...

    Open Energy Info (EERE)

    Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: The Fish and Wildlife Service Manual, Part 603 FW 2PermittingRegulatory GuidanceGuideHandbook...

  11. The Fish and Wildlife Service Manual, Part 340 FW 3: Rights-of...

    Open Energy Info (EERE)

    Reference LibraryAdd to library PermittingRegulatory Guidance - GuideHandbook: The Fish and Wildlife Service Manual, Part 340 FW 3: Rights-of-Way and Road ClosingsPermitting...

  12. OAR 635-415 - Fish and Wildlife Habitat Mitigation Policy | Open...

    Open Energy Info (EERE)

    OAR 635-415 - Fish and Wildlife Habitat Mitigation Policy Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: OAR 635-415 -...

  13. Columbia River System Operation Review : Final Environmental Impact Statement, Appendix N: Wildlife.

    SciTech Connect (OSTI)

    Columbia River System Operation Review

    1995-11-01

    The Columbia River System is a vast and complex combination of Federal and non-Federal facilities used for many purposes including power production, irrigation, navigation, flood control, recreation, fish and wildlife habitat and municipal and industrial water supply. Each river use competes for the limited water resources in the Columbia River Basin. This technical appendix addresses only the effects of alternative system operating strategies for managing the Columbia River system. The environmental impact statement (EIS) itself and some of the other appendices present analyses of the alternative approaches to the other three decisions considered as part of the SOR. This document is the product of the Wildlife Work Group, focusing on wildlife impacts but not including fishes. Topics covered include the following: scope and process; existing and affected environment, including specific discussion of 18 projects in the Columbia river basin. Analysis, evaluation, and alternatives are presented for all projects. System wide impacts to wildlife are also included.

  14. Analysis of Crude Oil Production in the Arctic National Wildlife Refuge

    Reports and Publications (EIA)

    2008-01-01

    This report responds to a request from Senator Ted Stevens that the Energy Information Administration provide an assessment of federal oil and natural gas leasing in the coastal plain of the Arctic National Wildlife Refuge (ANWR) in Alaska.

  15. Analysis and Mapping of Vegetation and Habitat for the Sheldon National Wildlife Refuge

    SciTech Connect (OSTI)

    Tagestad, Jerry D.

    2010-06-01

    The Lakeview, Oregon, office of the U.S. Fish and Wildlife Service (USFWS) contracted Pacific Northwest National Laboratory to classify vegetation communities on Sheldon National Wildlife Refuge in northeastern Nevada. The objective of the mapping project was to provide USFWS refuge biologists and planners with detailed vegetation and habitat information that can be referenced to make better decisions regarding wildlife resources, fuels and fire risk, and land management. This letter report describes the datasets and methods used to develop vegetation cover type and shrub canopy cover maps for the Sheldon National Wildlife Refuge. The two map products described in this report are (1) a vegetation cover classification that provides updated information on the vegetation associations occurring on the refuge and (2) a map of shrub canopy cover based on high-resolution images and field data.

  16. WAC - 232-12-064 Live Wildlife-Taking from the wild | Open Energy...

    Open Energy Info (EERE)

    32-12-064 Live Wildlife-Taking from the wild Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- RegulationRegulation: WAC - 232-12-064 Live...

  17. Annual Report on Wildlife Activities, September 1985-April 1986, Action Item 40.1, Columbia River Basin Fish and Wildlife Program.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1986-04-01

    This annual report addresses the status of wildlife projects Bonneville Power Administration (BPA) has implemented from September 1985 to April 1986. This report provides a brief synopsis, review, and discussion of wildlife activities BPA has undertaken. BPA's effort has gone towards implementing wildlife planning. This includes measure 1004 (b)(2), loss statements and measure 1004 (b)(3), mitigation plans. Loss statements have been completed for 14 facilities in the Basin with 4 additional ones to be completed shortly. Mitigation plans have been completed for 5 hydroelectric facilities in Montana. The Northwest Power Planning Council is presently considering two mitigation plans (Hungry Horse and Libby) for amendment into the Program. Currently, mitigation plans are being prepared for the 8 Federal hydroelectric facilities in the Willamette River Basin in Oregon, Grand Coulee Dam in the state of Washington, and Palisades Dam on the Snake River in Idaho.

  18. 2014-12-22 Issuance: Alternative Efficiency Determination Methods, Basic Model Definition, and Compliance for Commercial HVAC, Refrigeration, and Water Heating Equipment; Final Rule

    Broader source: Energy.gov [DOE]

    This document is a pre-publication Federal Register final rule regarding alternative efficiency determination methods, basic model definition, and compliance for commercial HVAC, refrigeration, and water heating equipment , as issued by the Deputy Assistant Secretary for Energy Efficiency on December 22, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

  19. Energy Department Announces New Projects to Help Protect Wildlife at Wind

    Office of Environmental Management (EM)

    Energy Plants | Department of Energy Projects to Help Protect Wildlife at Wind Energy Plants Energy Department Announces New Projects to Help Protect Wildlife at Wind Energy Plants April 14, 2015 - 1:08pm Addthis The Energy Department today announced more than $1.75 million for five projects that will develop and demonstrate technologies to reduce the potential impacts of wind farms on sensitive bat species. A current challenge facing wind energy developers in the United States is how to

  20. Wildlife mitigation and monitoring report Gunnison, Colorado, site

    SciTech Connect (OSTI)

    1997-04-01

    The Uranium Mill Tailings Remedial Action (UMTRA) Project is administered by the U.S. Department of Energy (DOE); its purpose is to cleanup uranium mill tailings and other contaminated material at 24 UMTRA Project sites in 10 states. This report summarizes the wildlife mitigation and monitoring program under way at the Gunnison UMTRA Project, Gunnison, Colorado. Remedial action at the Gunnison site was completed in December 1995 and is described in detail in the Gunnison completion report. The impacts of this activity were analyzed in the Gunnison environmental assessment (EA). These impacts included two important game species: the pronghorn antelope (Antilocapra americans) and sage grouse (Wentrocerus urophasianus). Haul truck traffic was predicted to limit antelope access to water sources north of the Tenderfoot Mountain haul road and that truck traffic along this and other haul roads could result in antelope road kills. Clearing land at the disposal cell, haul road and borrow site activities, and the associated human activities also were predicted to negatively impact (directly and indirectly) sage grouse breeding, nesting, loafing, and wintering habitat. As a result, an extensive mitigation and monitoring plan began in 1992. Most of the monitoring studies are complete and the results of these studies, written by different authors, appear in numerous reports. This report will: (1) Analyze existing impacts and compare them to predicted impacts. (2) Summarize mitigation measures. (3) Summarize all existing monitoring data in one report. (4) Analyze the effectiveness of the mitigation measures.

  1. Threatened and endangered fish and wildlife of the midwest

    SciTech Connect (OSTI)

    Schafer, D.W.; Robeck, K.E.

    1980-06-01

    This report contains information of federally-listed endangered and/or threatened fish and wildlife occurring in the midwestern states of Illinois, Indiana, Iowa, Kansas, Michigan, Minnesota, Missouri, Nebraska, Ohio, and Wisconsin. The information was compiled as a support document for the Regional Issue Identification and Assessment (RIIA) project sponsored by the Regional Assessments Division of the Office of Technology Impacts within the Department of Energy. The information on midwestern endangered species distribution, habitats, and reasons for population decline included in this document are designed to help assess the potential for adverse impacts if energy activities are sited within the general range of an endangered species. It is hoped that this document will thereby enhance the reliability of one portion of energy-related assessments performed in the Midwest. This report considers only those species listed prior to October 1979 as endangered and/or threatened in the federal endangered species list published in the Federal Register and that have been known to occur in the region in the last 20 years.

  2. Status Review of Wildlife Mitigation at 14 of 27 Major Hydroelectric Projects in Idaho, 1983-1984 Final Report.

    SciTech Connect (OSTI)

    Martin, Robert C.; Mehrhoff, L.A.

    1985-01-01

    The Pacific Northwest Electric Power Planning and Conservation Act and wildlife and their habitats in the Columbia River Basin and to compliance with the Program, the wildlife mitigation status reports coordination with resource agencies and Indian Tribes. developed the Columbia River Basin Fish and Wildlife Program development, operation, and maintenance of hydroelectric projects on existing agreements; and past, current, and proposed wildlife factual review and documentation of existing information on wildlife meet the requirements of Measure 1004(b)(l) of the Program. The mitigation, enhancement, and protection activities were considered. In mitigate for the losses to those resources resulting from the purpose of these wildlife mitigation status reports is to provide a resources at some of the Columbia River Basin hydroelectric projects the river and its tributaries. To accomplish this goal, the Council were written with the cooperation of project operators, and in within Idaho.

  3. Real-Time Water Quality Monitoring and Habitat Assessment in theSan Luis National Wildlife Refuge

    SciTech Connect (OSTI)

    Quinn, Nigel W.T.; Hanlon, Jeremy S.; Burns, Josephine R.; Stromayer, Karl A.K.; Jordan, Brandon M.; Ennis, Mike J.; Woolington,Dennis W.

    2005-08-28

    The project report describes a two year experiment to control wetland drainage to the San Joaquin River of California from the San Luis National Wildlife Refuge using a decision support system for real-time water quality management. This system required the installation and operation of one inlet and three drainage flow and water quality monitoring stations which allowed a simple mass balance model to be developed of the seasonally managed wetlands in the study area. Remote sensing methods were developed to document long-term trends in wetland moist soil vegetation and soil salinity in response to management options such as delaying the initiation of seasonal wetland drainage. These environmental management tools provide wetland managers with some of the tools necessary to improve salinity conditions in the San Joaquin River and improve compliance with State mandated salinity objectives without inflicting long-term harm on the wild fowl habitat resource.

  4. Malheur River Wildlife Mitigation Project : 2008 Annual Report.

    SciTech Connect (OSTI)

    Kesling, Jason; Abel, Chad; Schwabe, Laurence

    2009-01-01

    In 1998, the Burns Paiute Tribe (BPT) submitted a proposal to Bonneville Power Administration (BPA) for the acquisition of the Malheur River Wildlife Mitigation Project (Project). The proposed mitigation site was for the Denny Jones Ranch and included Bureau of Land Management (BLM) and Oregon Division of State Lands (DSL) leases and grazing allotments. The Project approval process and acquisition negotiations continued for several years until the BPT and BPA entered into a Memorandum of Agreement, which allowed for purchase of the Project in November 2000. The 31,781 acre Project is located seven miles east of Juntura, Oregon and is adjacent to the Malheur River (Figure 1). Six thousand three hundred eighty-five acres are deeded to BPT, 4,154 acres are leased from DSL, and 21,242 acres are leased from BLM (Figure 2). In total 11 grazing allotments are leased between the two agencies. Deeded land stretches for seven miles along the Malheur River. It is the largest private landholding on the river between Riverside and Harper, Oregon. Approximately 938 acres of senior water rights are included with the Ranch. The Project is comprised of meadow, wetland, riparian and shrub-steppe habitats. The BLM grazing allotment, located south of the ranch, is largely shrub-steppe habitat punctuated by springs and seeps. Hunter Creek, a perennial stream, flows through both private and BLM lands. Similarly, the DSL grazing allotment, which lies north of the Ranch, is predominantly shrub/juniper steppe habitat with springs and seeps dispersed throughout the upper end of draws (Figure 2).

  5. Hellsgate Big Game Winter Range Wildlife Mitigation Project : Annual Report 2008.

    SciTech Connect (OSTI)

    Whitney, Richard P.; Berger, Matthew T.; Rushing, Samuel; Peone, Cory

    2009-01-01

    The Hellsgate Big Game Winter Range Wildlife Mitigation Project (Hellsgate Project) was proposed by the Confederated Tribes of the Colville Reservation (CTCR) as partial mitigation for hydropower's share of the wildlife losses resulting from Chief Joseph and Grand Coulee Dams. At present, the Hellsgate Project protects and manages 57,418 acres (approximately 90 miles2) for the biological requirements of managed wildlife species; most are located on or near the Columbia River (Lake Rufus Woods and Lake Roosevelt) and surrounded by Tribal land. To date we have acquired about 34,597 habitat units (HUs) towards a total 35,819 HUs lost from original inundation due to hydropower development. In addition to the remaining 1,237 HUs left unmitigated, 600 HUs from the Washington Department of Fish and Wildlife that were traded to the Colville Tribes and 10 secure nesting islands are also yet to be mitigated. This annual report for 2008 describes the management activities of the Hellsgate Big Game Winter Range Wildlife Mitigation Project (Hellsgate Project) during the past year.

  6. Phase formation sequences in the silicon-phosphorous system : determined by in-situ synchrotron andj conventional x-ray diffraction measurements and predicted by a theoretical model.

    SciTech Connect (OSTI)

    Carlsson, J. R. A.; Clevenger, L.; Madsen, L. D.; Hultman, L.; Li, X.-H.; Jordan-Sweet, J.; Lavoie, C.; Roy, R. A.; Cabral, C., Jr.; Morales, G.; Ludwig, K. L.; Stephenson, G. B.; Hentzell, H. T. G.; Materials Science Division; Linkoeping Univ.; IBM T. J. Watson Research Center; Boston Univ.

    1997-01-01

    The phase formation sequences of Si-P alloy thin films with P concentrations between 20 and 44 at. % have been studied. The samples were annealed at progressively higher temperatures and the newly formed phases were identified both after each annealing step by ex-situ conventional X-ray diffraction (XRD) and continuously by in-situ synchrotron XRD. It was found that Si was the only phase to form in a sample with 20 at.% P since the evaporation of P at the crystallization temperature prevented phosphides from forming. For a sample with 30at.% P, the Si{sub 12}P{sub 5} phase formed prior to the SiP phase. For samples with 35 and 44at.%P, the formation of SiP preceded the formation of the Si{sub 12}P{sub 5} phase. The experimentally determined phase formation sequences were successfully predicted by a proposed model. According to the model, the first and second crystalline phases to form are those with the lowest and next-lowest crystallization temperatures of the competing compounds predicted by the Gibbs free-energy diagram.

  7. Colville Confederated Tribes' Performance Project Wildlife Mitigation Acquisitions, Annual Report 2006.

    SciTech Connect (OSTI)

    Whitney, Richard; Berger, Matthew; Tonasket, Patrick

    2006-12-01

    The Colville Confederated Tribes Wildlife Mitigation Project is protecting lands as partial mitigation for hydropower's share of the wildlife losses resulting from Chief Joseph and Grand Coulee Dams. The Mitigation Project protects and manages 54,606 acres for the biological requirements of managed wildlife species that are important to the Colville Tribes. With the inclusion of 2006 acquisitions, the Colville Tribes have acquired approximately 32,018 habitat units (HUs) towards a total 35,819 HUs lost from original inundation due to hydropower development. This annual report for 2006 briefly describes that four priority land acquisitions that were considered for enrollment into the Colville Tribes Mitigation Project during the 2006 contract period.

  8. Supplement Analysis for the Wildlife Mitigation Program EIS (DOE/EIS-0246/SA-39)

    SciTech Connect (OSTI)

    N /A

    2004-02-02

    BPA funds the Albeni Falls Wildlife Mitigation Program, which is tasked with the acquisition and restoration of key habitats within the Pend Oreille Watershed. This mitigation program purchases private land to be owned and managed by program participants for the protection, mitigation, and enhancement of wildlife affected by the construction and operation of the Federal hydroelectric facilities on the Columbia River. BPA is currently working with the Kalispel Tribe of Indians to acquire and manage three parcels that total approximately 890 acres of land within Pend Oreille County, Washington. The properties proposed for acquisition contain habitats or potential habitats that will provide BPA with credits for partial mitigation of wildlife habitat losses due to the construction of Albeni Falls Dam. The current proposal includes only the fee title acquisition of these parcels; habitat enhancement activities will likely be carried out by the Kalispel Tribe of Indians in the future following the development of a management plan(s) for the lands.

  9. Assessment of Technologies Used to Characterize Wildlife Populations in the Offshore Environment

    SciTech Connect (OSTI)

    Duberstein, Corey A.; Tagestad, Jerry D.; Larson, Kyle B.

    2011-12-09

    Wind energy development in the offshore environment can have both direct and indirect effects on wildlife, yet little is known about most species that use near-shore and offshore waters due in part to the difficulty involved in studying animals in remote, challenging environments. Traditional methods to characterize offshore wildlife populations include shipboard observations. Technological advances have provided researches with an array of technologies to gather information about fauna from afar. This report describes the use and application of radar, thermal and optical imagery, and acoustic detection technologies for monitoring birds, bats, and marine mammals in offshore environments.

  10. Albeni Falls Wildlife Mitigation Project; Idaho Department of Fish and Game 2007 Final Annual Report.

    SciTech Connect (OSTI)

    Cousins, Katherine

    2009-04-03

    The Idaho Department of Fish and Game maintained a total of about 2,743 acres of wildlife mitigation habitat in 2007, and protected another 921 acres. The total wildlife habitat mitigation debt has been reduced by approximately two percent (598.22 HU) through the Department's mitigation activities in 2007. Implementation of the vegetative monitoring and evaluation program continued across protected lands. For the next funding cycle, the IDFG is considering a package of restoration projects and habitat improvements, conservation easements, and land acquisitions in the project area.

  11. Technical Approach for Determining Key Parameters Needed for Modeling the Performance of Cast Stone for the Integrated Disposal Facility Performance Assessment

    SciTech Connect (OSTI)

    Yabusaki, Steven B.; Serne, R. Jeffrey; Rockhold, Mark L.; Wang, Guohui; Westsik, Joseph H.

    2015-03-30

    Washington River Protection Solutions (WRPS) and its contractors at Pacific Northwest National Laboratory (PNNL) and Savannah River National Laboratory (SRNL) are conducting a development program to develop / refine the cementitious waste form for the wastes treated at the ETF and to provide the data needed to support the IDF PA. This technical approach document is intended to provide guidance to the cementitious waste form development program with respect to the waste form characterization and testing information needed to support the IDF PA. At the time of the preparation of this technical approach document, the IDF PA effort is just getting started and the approach to analyze the performance of the cementitious waste form has not been determined. Therefore, this document looks at a number of different approaches for evaluating the waste form performance and describes the testing needed to provide data for each approach. Though the approach addresses a cementitious secondary aqueous waste form, it is applicable to other waste forms such as Cast Stone for supplemental immobilization of Hanford LAW. The performance of Cast Stone as a physical and chemical barrier to the release of contaminants of concern (COCs) from solidification of Hanford liquid low activity waste (LAW) and secondary wastes processed through the Effluent Treatment Facility (ETF) is of critical importance to the Hanford Integrated Disposal Facility (IDF) total system performance assessment (TSPA). The effectiveness of cementitious waste forms as a barrier to COC release is expected to evolve with time. PA modeling must therefore anticipate and address processes, properties, and conditions that alter the physical and chemical controls on COC transport in the cementitious waste forms over time. Most organizations responsible for disposal facility operation and their regulators support an iterative hierarchical safety/performance assessment approach with a general philosophy that modeling provides the critical link between the short-term understanding from laboratory and field tests, and the prediction of repository performance over repository time frames and scales. One common recommendation is that experiments be designed to permit the appropriate scaling in the models. There is a large contrast in the physical and chemical properties between the Cast Stone waste package and the IDF backfill and surrounding sediments. Cast Stone exhibits low permeability, high tortuosity, low carbonate, high pH, and low Eh whereas the backfill and native sediments have high permeability, low tortuosity, high carbonate, circumneutral pH, and high Eh. These contrasts have important implications for flow, transport, and reactions across the Cast Stone – backfill interface. Over time with transport across the interface and subsequent reactions, the sharp geochemical contrast will blur and there will be a range of spatially-distributed conditions. In general, COC mobility and transport will be sensitive to these geochemical variations, which also include physical changes in porosity and permeability from mineral reactions. Therefore, PA modeling must address processes, properties, and conditions that alter the physical and chemical controls on COC transport in the cementitious waste forms over time. Section 2 of this document reviews past Hanford PAs and SRS Saltstone PAs, which to date have mostly relied on the lumped parameter COC release conceptual models for TSPA predictions, and provides some details on the chosen values for the lumped parameters. Section 3 provides more details on the hierarchical modeling strategy and processes and mechanisms that control COC release. Section 4 summarizes and lists the key parameters for which numerical values are needed to perform PAs. Section 5 provides brief summaries of the methods used to measure the needed parameters and references to get more details.

  12. Modeling

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

    PVLibMatlab Permalink Gallery Sandia Labs Releases New Version of PVLib Toolbox Modeling, News, Photovoltaic, Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power systems. The version 1.3 release includes the following added functions: functions to estimate parameters for popular PV module models, including PVsyst and the CEC '5 parameter' model a new model of the effects of solar

  13. Wildlife Protection, Mitigation and Enhancement Planning for Grand Coulee Dam, Final Report.

    SciTech Connect (OSTI)

    Creveling, Jennifer

    1986-08-01

    The development and operation of Grand Coulee Dam inundated approximately 70,000 acres of wildlife habitat under the jurisdictions of the Colville Confederated Tribes, the Spokane Tribe, and the State of Washington. Under the provisions of the Pacific Northwest Electric Power Planning and Conservation Act of 1980, this study reviews losses to wildlife and habitat, and proposes mitigation for those losses. Wildlife loss estimates were developed from information available in the literature. Habitat losses and potential habitat gains through mitigation were estimated by a modified Habitat Evaluation Procedure. The mitigation plan proposes (1) acquisition of sufficient land or management rights to land to protect Habitat Units equivalent to those lost (approximately 73,000 acres of land would be required), (2) improvement and management of those lands to obtain and perpetuate target Habitat Units, and (3) protection and enhancement of suitable habitat for bald eagles. Mitigation is presented as four actions to be implemented over a 10-year period. A monitoring program is proposed to monitor mitigation success in terms of Habitat Units and wildlife population trends.

  14. Hellsgate Big Game Winter Range Wildlife Mitigation Site Specific Management Plan for the Hellsgate Project.

    SciTech Connect (OSTI)

    Berger, Matthew T.; Judd, Steven L.

    1999-01-01

    This report contains a detailed site-specific management plan for the Hellsgate Winter Range Wildlife Mitigation Project. The report provides background information about the mitigation process, the review process, mitigation acquisitions, Habitat Evaluation Procedures (HEP) and mitigation crediting, current habitat conditions, desired future habitat conditions, restoration/enhancements efforts and maps.

  15. New exhibit highlights the archaeology, wildlife and climate of Los Alamos

    National Nuclear Security Administration (NNSA)

    | National Nuclear Security Administration exhibit highlights the archaeology, wildlife and climate of Los Alamos | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony

  16. U.S. Fish and Wildlife Service National Conservation Training Center, Shepherdstown, West Virginia

    Broader source: Energy.gov [DOE]

    Shepherdstown, West Virginia, is the home of the U.S. Fish and Wildlife Service (USFWS) National Conservation Training Center (NCTC). The 500-acre site includes 16 buildings that accommodate education and training facilities for the USFWS. The center was designed to use passive solar and low-energy technologies that are readily available, easily maintained and cost effective.

  17. Modeling

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

    Engine Combustion/Modeling - Modelingadmin2015-10-28T01:54:52+00:00 Modelers at the CRF are developing high-fidelity simulation tools for engine combustion and detailed micro-kinetic, surface chemistry modeling tools for catalyst-based exhaust aftertreatment systems. The engine combustion modeling is focused on developing Large Eddy Simulation (LES). LES is being used with closely coupled key target experiments to reveal new understanding of the fundamental processes involved in engine

  18. Modeling

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

    Reacting Flow/Modeling - Modelingadmin2015-10-28T02:39:13+00:00 Turbulence models typically involve coarse-graining and/or time averaging. Though adequate for modeling mean transport, this approach does not address turbulence-microphysics interactions that are important in combustion processes. Subgrid models are developed to represent these interactions. The CRF has developed a fundamentally different representation of these interactions that does not involve distinct coarse-grained and subgrid

  19. Modeling

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

    Widespread Hydrogen Fueling Infrastructure Is the Goal of H2FIRST Project Capabilities, Center for Infrastructure Research and Innovation (CIRI), Computational Modeling & Simulation, Energy, Energy Storage, Energy Storage Systems, Facilities, Infrastructure Security, Materials Science, Modeling, Modeling & Analysis, News, News & Events, Partnership, Research & Capabilities, Systems Analysis, Systems Engineering, Transportation Energy Widespread Hydrogen Fueling Infrastructure Is

  20. Forestry herbicide influences on biodiversity and wildlife habitats in Southern forests.

    SciTech Connect (OSTI)

    Miller, Karl V.

    2004-01-01

    Abstract In the southern United States, herbicide use continues to increase for timber management in commercial pine (Pinus spp.) plantations, for modifying wildlife habitats, and for invasive plant control. Several studies have reported that single applications of forestry herbicides at stand initiation have minor and temporary impacts on plant communities and wildlife habitat conditions, with some reports of enhanced habitat conditions for both game and nongame species. Due to the high resiliency of floral communities, plant species richness and diversity rebound rapidly after single herbicide treatments, with short- and long-term compositional shifts according to the selectivity and efficacy of the herbicide used. Recently, however, a shift to the Southeast in North American timber supplies has resulted in increased forest management intensity. Current site-preparation techniques rely on herbicide combinations, often coupled with mechanical treatments and >1 years of post-planting applications to enhance the spectrum and duration of vegetation control. This near-total control of associated vegetation at establishment and more rapid pine canopy closure, coupled with shortened and repeated rotations, likely will affect plant diversity and wildlife habitat quality. Development of mitigation methods at the stand and landscape levels will be required to minimize vegetative and wildlife impacts while allowing continued improvement in pine productivity. More uncertain are long-term impacts of increasing invasive plant occupation and the projected increase in herbicide use that will be needed to reverse this worsening situation. In addition, the potential of herbicides to meet wildlife management objectives in areas where traditional techniques have high social costs (e.g., prescribed fire) should be fully explored.

  1. Forestry herbicide influences on biodiversity and wildlife habitat in Southern forests.

    SciTech Connect (OSTI)

    Miller, Karl V.; Miller, James, H.

    2004-07-01

    Abstract In the southern United States, herbicide use continues to increase for timber management in commercial pine (Pinus spp.) plantations, for modifying wildlife habitats, and for invasive plant control. Several studies have reported that single applications of forestry herbicides at stand initiation have minor and temporary impacts on plant communities and wildlife habitat conditions, with some reports of enhanced habitat conditions for both game and nongame species. Due to the high resiliency of floral communities, plant species richness and diversity rebound rapidly after single herbicide treatments, with short- and long-term compositional shifts according to the selectivity and efficacy of the herbicide used. Recently, however, a shift to the Southeast in North American timber supplies has resulted in increased forest management intensity. Current site-preparation techniques rely on herbicide combinations, often coupled with mechanical treatments and >1 years of post-planting applications to enhance the spectrum and duration of vegetation control. This near-total control of associated vegetation at establishment and more rapid pine canopy closure, coupled with shortened and repeated rotations, likely will affect plant diversity and wildlife habitat quality. Development of mitigation methods at the stand and landscape levels will be required to minimize vegetative and wildlife impacts while allowing continued improvement in pine productivity. More uncertain are long-term impacts of increasing invasive plant occupation and the projected increase in herbicide use that will be needed to reverse this worsening situation. In addition, the potential of herbicides to meet wildlife management objectives in areas where traditional techniques have high social costs (e.g., prescribed fire) should be fully explored.

  2. Modeling

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

    WVMinputs-outputs Permalink Gallery Sandia Labs releases wavelet variability model (WVM) Modeling, News, Photovoltaic, Solar Sandia Labs releases wavelet variability model (WVM) When a single solar photovoltaic (PV) module is in full sunlight, then is shaded by a cloud, and is back in full sunlight in a matter of seconds, a sharp dip then increase in power output will result. However, over an entire PV plant, clouds will often uncover some modules even as they cover others, [...] By Andrea

  3. Modeling

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

    New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, Modeling & Analysis, News, News & Events, Partnership New Project Is the ACME of Computer Science to Address Climate Change Sandia high-performance computing (HPC) researchers are working with DOE and 14 other national laboratories and institutions to develop and apply the most complete climate and Earth system model, to address the most challenging and

  4. Modeling

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

    A rail tank car of the type used to transport crude oil across North America. Recent incidents have raised concerns about the safety of this practice, which the DOE-DOT-sponsored team is investigating. (photo credit: Harvey Henkelmann) Permalink Gallery Expansion of DOE-DOT Tight Oil Research Work Capabilities, Carbon Capture & Storage, Carbon Storage, Energy, Energy Assurance, Energy Assurance, Fuel Options, Infrastructure Assurance, Infrastructure Security, Modeling, Modeling, Modeling

  5. CX-009209: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Provision of Funds to the Washington Department of Fish and Wildlife (WDFW) CX(s) Applied: B1.25 Date: 09/04/2012 Location(s): Washington Offices(s): Bonneville Power Administration

  6. CX-010808: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Wildlife Management Program Support CX(s) Applied: A9, B1.20 Date: 08/08/2013 Location(s): West Virginia, Pennsylvania Offices(s): National Energy Technology Laboratory

  7. CX-011242: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    North Shore Wildlife Management Area Property Funding CX(s) Applied: B1.25 Date: 09/26/2013 Location(s): Montana Offices(s): Bonneville Power Administration

  8. CX-003622: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Fiscal Year 2010 Secure and Restore Fish and Wildlife HabitatCX(s) Applied: B1.25Date: 08/16/2010Location(s): Sanders County, MontanaOffice(s): Bonneville Power Administration

  9. CX-003618: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    The Nature Conservatory (TNC) Willamette Wildlife AcquisitionsCX(s) Applied: B1.25Date: 08/17/2010Location(s): Lane County, OregonOffice(s): Bonneville Power Administration

  10. CX-003617: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    The Nature Conservatory (TNC) Willamette Wildlife AcquisitionsCX(s) Applied: B1.25Date: 08/17/2010Location(s): Lane County, OregonOffice(s): Bonneville Power Administration

  11. CX-003907: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Fiscal Year 2010 Albeni Falls Wildlife Mitigation ? Priest River (Flesher)CX(s) Applied: B1.25Date: 09/08/2010Location(s): Bonner County, IdahoOffice(s): Bonneville Power Administration

  12. Oil, Water, and Wildlife: The Gulf of Mexico Disaster and Related Environmental Issues

    SciTech Connect (OSTI)

    Bickman, John W.

    2010-08-04

    The BP Macondo oil field spill in the Gulf of Mexico is the largest oil spill in U.S. history and has the potential to impact sea turtle and marine mammal populations, and others. This presentation will review the genotoxic effects of oil exposure in wildlife and discuss the potential for an oil spill to impact wildlife populations. Whereas some aspects of a spill are predictable, each spill is different because oils are highly variable, as are the environments in which they occur. The presentation will discuss what has been learned from previous spills, including the Exxon Valdez and the soviet oil legacy in Azerbaijan, and the potential dangers of offshore oil development in the Arctic. Related Purdue University research efforts in oil-spill related engineering and science also will be highlighted.

  13. Air Quality Scoping Study for Ash Meadows National Wildlife Refuge, Nevada (EMSI April 2007)

    SciTech Connect (OSTI)

    Engelbrecht, Johann; Kavouras, Ilias; Campbell, Dave; Campbell, Scott; Kohl, Steven; Shafer, David

    2007-04-01

    The Desert Research Institute (DRI) is performing a scoping study as part of the U.S.Department of Energy’s Yucca Mountain Environmental Monitoring Systems Initiative (EMSI). The main objective is to obtain baseline air quality information for Yucca Mountain and an area surrounding the Nevada Test Site (NTS). Air quality and meteorological monitoring and sampling equipment housed in a mobile trailer (shelter) is collecting data at seven sites outside the NTS, including Ash Meadows National Wildlife Refuge, Sarcobatus Flat, Beatty, Rachel, Caliente, Pahranagat National Wildlife Refuge, and Crater Flat, and at four sites on the NTS. The trailer is stationed at any one site for approximately eight weeks at a time. Letter reports provide summaries of air quality and meteorological data, on completion of each site’s sampling program.

  14. Oil, Water, and Wildlife: The Gulf of Mexico Disaster and Related Environmental Issues

    ScienceCinema (OSTI)

    Bickman, John W. [Purdue University, West Lafayette, Indiana, United States

    2010-09-01

    The BP Macondo oil field spill in the Gulf of Mexico is the largest oil spill in U.S. history and has the potential to impact sea turtle and marine mammal populations, and others. This presentation will review the genotoxic effects of oil exposure in wildlife and discuss the potential for an oil spill to impact wildlife populations. Whereas some aspects of a spill are predictable, each spill is different because oils are highly variable, as are the environments in which they occur. The presentation will discuss what has been learned from previous spills, including the Exxon Valdez and the soviet oil legacy in Azerbaijan, and the potential dangers of offshore oil development in the Arctic. Related Purdue University research efforts in oil-spill related engineering and science also will be highlighted.

  15. Analysis of Oil and Gas Production in the Arctic National Wildlife Refuge

    Reports and Publications (EIA)

    2004-01-01

    This study analyzed the impact on future oil imports and expenditures of opening the Arctic National Wildlife Refuge (ANWR) to petroleum development. High, low, and mean ANWR oil resource case projections were compared to the Annual Energy Outlook 2004 reference case. The study also examined whether potential synergies exist in opening ANWR to petroleum development and the construction of an Alaska gas pipeline from the North Slope to the lower 48 states.

  16. Supplement Analysis for the Wildlife Mitigation Program EIS (DOE/EIS-0246/SA-37)

    SciTech Connect (OSTI)

    N /A

    2004-01-16

    BPA proposes to fund the purchase of four parcels of land within the boundaries of the Spokane Indian Reservation, totaling approximately 860 acres. Title to the land will pass to the Spokane Tribe of Indians. The goal of the property acquisition is to dedicate the land to the protection, mitigation, and enhancement of fish and wildlife affected by the construction and operation of portions of the Federal Columbia River Power System.

  17. Bioenergy Technologies Office: Association of Fish and Wildlife Agencies Agricultural Conservation Committee Meeting

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

    Department of Energy Bioenergy Technologies Office Association of Fish & Wildlife Agencies Agricultural Conservation Committee Meeting March 29, 2013 Kristen Johnson Sustainability Lead Bioenergy Technologies Office U.S. Department of Energy 2 Overview * National priorities and the Renewable Fuel Standard * Overview of the Bioenergy Technologies Office (BETO) - Mission - Key RDD&D Activities * DOE's Billion-Ton Update: National Resource Assessment * DOE's Commitment to Sustainability *

  18. A look at wildlife around the Pantex Plant | National Nuclear Security

    National Nuclear Security Administration (NNSA)

    Administration look at wildlife around the Pantex Plant | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs

  19. Threatened and endangered wildlife species of the Hanford Site related to CERCLA characterization activities

    SciTech Connect (OSTI)

    Fitzner, R.E.; Weiss, S.G.; Stegen, J.A.

    1994-06-01

    The US Department of Energy`s (DOE) Hanford Site has been placed on the National Priorities List, which requires that it be remediated under the Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) or Superfund. Potentially contaminated areas of the Hanford Site were grouped into operable units, and detailed characterization and investigation plans were formulated. The DOE Richland Operations Office requested Westinghouse Hanford Company (WHC) to conduct a biological assessment of the potential impact of these characterization activities on the threatened, endangered, and sensitive wildlife species of the Hanford Site. Additional direction for WHC compliances with wildlife protection can be found in the Environmental Compliance Manual. This document is intended to meet these requirements, in part, for the CERCLA characterization activities, as well as for other work comparable in scope. This report documents the biological assessment and describes the pertinent components of the Hanford Site as well as the planned characterization activities. Also provided are accounts of endangered, threatened, and federal candidate wildlife species on the Hanford Site and information as to how human disturbances can affect these species. Potential effects of the characterization activities are described with recommendations for mitigation measures.

  20. Fall 1994 wildlife and vegetation survey, Norton Air Force Base, California

    SciTech Connect (OSTI)

    Not Available

    1994-12-15

    The fall 1994 wildlife and vegetation surveys were completed October 3-7, 1994, at Norton Air Force Base (AFB), California. Two biologists from CDM Federal Programs, the U.S. Environmental Protection Agency (EPA) regional biologist and the Oak Ridge National Laboratory (ORNL) lead biologist conducted the surveys. A habitat assessment of three Installation Restoration Project (IRP) sites at Norton Air Force Base was also completed during the fall survey period. The IRP sites include: Landfill No. 2 (Site 2); the Industrial Wastewater Treatment Plant (IWTP) area; and Former Fire Training Area No. 1 (Site 5). The assessments were designed to qualitatively characterize the sites of concern, identify potential ecological receptors, and provide information for Remedial Design/Remedial Action activities. A Reference Area (Santa Ana River Wash) and the base urban areas were also characterized. The reference area assessment was performed to provide a baseline for comparison with the IRP site habitats. The fall 1994 survey is the second of up to four surveys that may be completed. In order to develop a complete understanding of all plant and animal species using the base, these surveys were planned to be conducted over four seasons. Species composition can vary widely during the course of a year in Southern California, and therefore, seasonal surveys will provide the most complete and reliable data to address changes in habitat structure and wildlife use of the site. Subsequent surveys will focus on seasonal wildlife observations and a spring vegetation survey.

  1. Modeling

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

    in warm dense matter experiments with diffuse interface methods in the ALE-AMR code Wangyi Liu ∗ , John Barnard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder † August 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid

  2. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling...

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

    ... A.S. Blix, L. Walle and . Ulltang, 69 - 75. The Netherlands: Elsevier Science B.V. ... San Diego: Elsevier. Martin, T. G., B.A Wintle, J.R. Rhodes, P.M. Kuhnert, S.A. Field, ...

  3. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling...

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

    (Richard Veit) * VA CZM Large Whale Surveys (Mark Swingle) * VAMD Section 6 Sea Turtle Surveys (Mark Swingle) * Navy Integrated Comprehensive Monitoring Program (ICMP) (Bob ...

  4. Electrolux: Compliance Determination (2010-SE-0108)

    Broader source: Energy.gov [DOE]

    After conducting testing of Electrolux's Frigidaire chest freezer model FFN09M5HWC, DOE determined that the model met the applicable energy conservation standard.

  5. modeling

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

    modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Fuel Cycle Defense Waste Management Programs Advanced Nuclear Energy

  6. Modeling

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

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the Earth looks like at night? NASA provides a clear, cloud-free view of the Earth at night using the Suomi National Polar-orbiting Partnership Satellite. The satellite utilizes an instrument known as the Visible Infrared Radiometer Suite (VIIRS), which allows the satellite to capture images of a "remarkably detailed

  7. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

  8. Modeling

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

    diffuse interface methods in ALE-AMR code with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2 LLNL, USA This work was part of the Petascale Initiative in Computational Science at NERSC, supported by the Director, Office of Science, Advanced Scientific Computing Research, of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. This work was performed

  9. Supplement Analysis for the Wildlife Management Program EIS (DOE/EIS-0246/SA-17)

    SciTech Connect (OSTI)

    N /A

    2001-09-13

    BPA proposes to partially fund the acquisition of 7,630 acres of shrub-steppe, riparian, and wetland habitat in northern Franklin County, Washington. Title to the land will be transferred initially to The Conservation Fund and ultimately for inclusion as part of the National Wildlife Refuge System. Passive management practices will take place on the land until an official management plan is developed and approved for the property. Some short-term control of invasive, exotic plant species may occur as necessary prior to the approval of a management plan. The compliance checklist for this project was completed by Randy Hill with the U.S. Fish and Wildlife Service, Columbia National Wildlife Refuge and meets the standards and guidelines for the Wildlife Mitigation Program Environmental Impact Statement (EIS) and Record of Decision (ROD). A comprehensive management plan will be prepared for the property after it is acquired and will follow the guidelines and mitigation measures detailed in the Wildlife Mitigation Program EIS and ROD. No plant or animal species listed under the Endangered Species Act (ESA) will be affected by the fee-title purchase of the subject property. Mark Miller with the Eastern Washington Ecological Services Office of USFWS concurred with this finding on August 3, 2001. Section 7 consultation will be conducted by BPA and USFWS, as necessary, prior to the implementation of any restoration or enhancement activities on the site. In accordance with the National Historic Preservation Act of 1966 (NHPA) and USFWS policy, the addition of the Eagle Lakes property to the National Wildlife Refuge System does not constitute an undertaking as defined by the NHPA, or require compliance with Section 106 of the NHPA. Anan Raymond, Regional Archaeologist with USFWS Region 1 Cultural Resource Team, concurred with this finding on May 4, 2001. Compliance with NHPA, including cultural resources surveys, will be implemented, as necessary, once specific management activities are proposed for the property. In the unlikely event that archaeological material is encountered during developments that might occur prior to a cultural resource survey, an archeologist will immediately be notified and work halted in the vicinity of the finds until they can be inspected and assessed. A Level I Contaminants Survey was completed on April 3, 2000 by Toni Davidson, Environmental Contaminants Specialist with the USFWS Upper Columbia River Basin Field Office. The survey found that overall the lakes, wetlands, and terrestrial habitats on the site appear to be in a healthy condition. The only concern expressed in the survey report was over the presence of two household/farm dumps. As a requirement of the Eagle Lakes sale, the landowner agreed to remove the dumps to the satisfaction of the USFWS contaminant specialist before the title to the land is transferred. A follow-up survey will be conducted to confirm compliance with this requirement of sale. Public involvement associated with this project has included written notification and solicitation of comments to interested parties, adjacent landowners, local tribes, government agencies, non-governmental organizations, and sports clubs. Public response from the mail-out indicated general support for the project, although some questions were raised about the provision of seasonal hunting and fishing on the property. These types of questions will be addressed in the development of a management plan for the Eagle Lakes land. Because of initial favorable comments on this project, it was decided that subsequent public meetings and/or workshops were not warranted.

  10. Regeneration of kaolin mined lands to maximize loblolly pine growth and wildlife habitat

    SciTech Connect (OSTI)

    McEvoy, K.E.; Morris, L.A.; Hendrick, R.L.; Ogden, E.A.

    1999-07-01

    Compliance with the Surface Mining Control and Reclamation Act of 1977 and Georgia Surface Mining Act of 1968 requires that land equal in area to each year's disturbance by reclaimed and a vegetative cover established. Approximately 60% of kaolin mined areas are reclaimed to pine forest. Current methods of reclamation after grading involve fertilization, seeding with a cover crop of grass and legumes, followed by planting of tree seedlings. Restrictive soil physical conditions, a lack of organic matter and nutrients, and competition by cover crop species can reduce survival and growth of loblolly pine seedlings. Also, current cover crop species have only marginal value for wildlife. In this research, the authors evaluated alternative methods of reforestation that (1) control erosion while providing greater benefits for wildlife and reduced competition with loblolly pine seedlings, (2) ameliorate adverse soil physical conditions through deeper tillage (subsoiling vs. disk harrowing), and (3) improve spoil fertility and structure by application of a composted paper mill by-product. Results from field trials indicate control of erosion by wildlife grasses is comparable to seed mixtures currently used in the industry. Subsoiling and disking both had ameliorative effects on soil physical properties with seedling survival at 92% and 88% respectively, compared to 45% of the surrounding area. Composted paper mill by-product served as an additional source of organic matter, nutrients, and protective mulch, thereby enhancing seedling growth as well as ameliorating pine seedlings mulched with the paper mill compost was greater than twice the size of seedlings grown under current reclamation practices.

  11. Supplement Analysis for the Wildlife Mitigation Program EIS (DOE/EIS-0246/SA-40)

    SciTech Connect (OSTI)

    N /A

    2004-07-16

    BPA proposes to fund the acquisition of two parcels in Benewah County, Idaho with the Coeur d'Alene Tribe. These parcels encompass approximately 475 acres of riparian and potential riparian habitat along Hangman Creek on the Coeur d'Alene Indian Reservation. The goal of this project is to protect, mitigate, and enhance wildlife affected by the construction and operation of the Federal hydroelectric facilities on the Columbia River. The current proposal includes only the fee title acquisition of these parcels; habitat enhancement activities will likely be carried out by the Coeur d'Alene Tribe in the future following the development of a management plan(s) for the lands.

  12. Potential Oil Production from Coastal Plain of Arctic National Wildlife Refuge: Updated Assessment

    Reports and Publications (EIA)

    2000-01-01

    The Energy Information Administration (EIA) received a letter (dated March 10, 2000) from Senator Frank H. Murkowski as Chairman of the Senate Committee on Energy and Natural Resources requesting an EIA Service Report with plausible scenarios for the Arctic National Wildlife Refuge (ANWR) supply development consistent with the most recent U.S. Geological Survey resource assessments. This service report is prepared in response to the request of Senator Murkowski. It focuses on the ANWR coastal plain, a region currently restricted from exploration and development, and updates EIA's 1987 ANWR assessment.

  13. U.S. Fish and Wildlife Service Moves toward Net-Zero Buildings (Fact Sheet), Federal Energy Management Program (FEMP)

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

    refuge showcases wetland areas and forests that are home to a myriad of migra- tory birds and other wildlife. The design team's vision became a reality when the new visitor's center opened its doors in 2010. The 5,879-square foot building provides a starting point for visi- tors to to learn about the wildlife on the refuge. The facility also houses hands-on exhibits, office and classroom space, and a nature-themed store. "The design of this visitor center exemplifies the U.S. Fish and

  14. Sharp-tailed Grouse and Pygmy Rabbit Wildlife Mitigation Project. Final Environmental Assessment

    SciTech Connect (OSTI)

    Not Available

    1992-10-01

    The Proposed Action is needed to protect and enhance shrub-steppe and riparian habitat for sharp-tailed grouse (Tympanuchus phasianellus columbianus), Pygmy rabbits (Brachylagus idahoensis), and other indigenous wildlife species. The purpose of the Proposed Action is to compensate, in part, for wildlife habitat lost from the construction of Grand Coulee Dam and the inundation of Lake Roosevelt. Bonneville Power Administration proposes to fund management agreements, conservation easements, acquisition of fee title, or a combination of these on as many as 29,000 acres in Lincoln and Douglas Counties to improve shrub-steppe and riparian habitat for sharp-tailed grouse and pygmy rabbits. The BPA also proposes to fund habitat improvements (enhancements) on project lands including existing public lands. Proposed habitat treatments would include control of grazing; planting of native trees, shrubs, forbs and grasses; protection of wetlands and streambanks; herbicide use; fire prescriptions; and wildfire suppression. Proposed management activities may include predator control, population introductions, and control of crop depredation.

  15. Sharp-Tailed Grouse and Pygmy Rabbit Wildlife Mitigation Project : Final Environmental Assessment.

    SciTech Connect (OSTI)

    Untied States. Bonneville Power Adminsitration.

    1992-10-01

    The Proposed Action is needed to protect and enhance shrub-steppe and riparian habitat for sharp-tailed grouse (Tympanuchus phasianellus columbianus), Pygmy rabbits (Brachylagus idahoensis), and other indigenous wildlife species. The purpose of the Proposed Action is to compensate, in part, for wildlife habitat lost from the construction of Grand Coulee Dam and the inundation of Lake Roosevelt. Bonneville Power Administration proposes to fund management agreements, conservation easements, acquisition of fee title, or a combination of these on as many as 29,000 acres in Lincoln and Douglas Counties to improve shrub-steppe and riparian habitat for sharp-tailed grouse and pygmy rabbits. The BPA also proposes to fund habitat improvements (enhancements) on project lands including existing public lands. Proposed habitat treatments would include control of grazing; planting of native trees, shrubs, forbs and grasses; protection of wetlands and streambanks; herbicide use; fire prescriptions; and wildfire suppression. Proposed management activities may include predator control, population introductions, and control of crop depredation.

  16. Supplement Analysis for the Wildlife Management Program EIS (DOE/EIS-0246/SA-38)

    SciTech Connect (OSTI)

    N /A

    2004-01-14

    BPA proposes to purchase the conservation easements on the Sanders (307 acres) and Seabaugh (449 acres) parcels of the Weaver Slough to ensure that current fisheries and natural resource values remain protected, and that no development or human encroachment would occur on these parcels, in perpetuity. No planned construction or improvements are currently proposed and the project does not involve fee title land acquisition. Protection will sustain quality aquatic habitats, water quality, and fish and wildlife habitat. Wetlands protected by this easement are priority wetlands in the basin, according to the Flathead Lakers Critical Lands Study. A ''Grant of Agricultural Conservation Easement'' has been prepared for both the Sanders parcel (Nov. 21, 2003) and Seabaugh parcel (December 4, 2003) which provide the parameters, rights and responsibilities, prohibitions, contingencies, and other provisions for the granting these properties for the above purpose and intent. In addition, a Memorandum of Agreement (among the Montana Department of Fish, Wildlife and Parks; Flathead Land Trust; and BPA) has also been established to protect and conserve the Sanders and Seabaugh parcels.

  17. Wildlife Studies

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

    their studies, biologists help the Lab understand and protect the diversity of the land. Elk on Laboratory Land Taking Care of the Land The Lab's scientific work is balanced...

  18. Protecting Wildlife

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

    Found in Pellets of Mexican Spotted Owls (Strix occidentalis lucida) from Los Alamos, New Mexico Polychlorinated Biphenyls (PCBs) in Predator and Bottom-Feeding Fish from Abiquiu...

  19. 2014-09-18 Issuance: Energy Conservation Standard for Alternative Efficiency Determination Methods, Basic Model Definition, and Compliance for Commercial HVAC, Refrigeration, and Water Heating Equipment; Supplemental Notice of Proposed Rulemaking

    Broader source: Energy.gov [DOE]

    This document is a pre-publication Federal Register supplemental notice of proposed rulemaking regarding energy conservation standards for alternative efficiency determination methods, basic model definition, and compliance for commercial HVAC, Refrigeration, and Water Heating Equipment, as issued by the Deputy Assistant Secretary for Energy Efficiency on September 18, 2014. Though it is not intended or expected, should any discrepancy occur between the document posted here and the document published in the Federal Register, the Federal Register publication controls. This document is being made available through the Internet solely as a means to facilitate the public's access to this document.

  20. CX-005969: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Provision of Funds to Montana Fish, Wildlife and Parks for Purchase of the Perry Creek PropertyCX(s) Applied: B1.25Date: 06/01/2011Location(s): Lake County, MontanaOffice(s): Bonneville Power Administration

  1. CX-006311: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Acquisition of Properties near the Naches River in Yakima County, Washington for Fish and Wildlife Habitat MitigationCX(s) Applied: B1.24, B1.25Date: 07/21/2011Location(s): Yakima County, WashingtonOffice(s): Bonneville Power Administration

  2. Haier: Noncompliance Determination (2011-SE-1408) | Department...

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

    Determination to Haier America Trading, L.L.C. finding that model number HNCM070, a chest freezer, does not comport with the energy conservation standards. DOE determined the...

  3. Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV

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

    Khachatryan, Vardan

    2015-05-14

    Properties of the Higgs boson with mass near 125 GeV are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels include ??, ZZ, WW, ??, bb, and ?? pairs. The data samples were collected in 2011 and 2012 and correspond to integrated luminosities of up to 5.1 fb?¹ at 7 TeV and up to 19.7 fb?¹ at 8 TeV. From the high-resolution ?? and ZZ channels, the mass of the Higgs boson is determined to be 125.02\\,+0.26-0.27(stat)+0.14-0.15(syst) GeV. For this mass value, the event yields obtainedmore »in the different analyses tagging specific decay channels and production mechanisms are consistent with those expected for the standard model Higgs boson. The combined best-fit signal relative to the standard model expectation is 1.00 ± 0.09 (stat), +0.08 -0.07 (theo) ± 0.07 (syst) at the measured mass. The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays. No significant deviations are found.« less

  4. Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV

    SciTech Connect (OSTI)

    Khachatryan, Vardan

    2015-05-14

    Properties of the Higgs boson with mass near 125 GeV are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels include ??, ZZ, WW, ??, bb, and ?? pairs. The data samples were collected in 2011 and 2012 and correspond to integrated luminosities of up to 5.1 fb?¹ at 7 TeV and up to 19.7 fb?¹ at 8 TeV. From the high-resolution ?? and ZZ channels, the mass of the Higgs boson is determined to be 125.02\\,+0.26-0.27(stat)+0.14-0.15(syst) GeV. For this mass value, the event yields obtained in the different analyses tagging specific decay channels and production mechanisms are consistent with those expected for the standard model Higgs boson. The combined best-fit signal relative to the standard model expectation is 1.00 ± 0.09 (stat), +0.08 -0.07 (theo) ± 0.07 (syst) at the measured mass. The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays. No significant deviations are found.

  5. Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 $$\\,\\text {TeV}$$

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

    Khachatryan, Vardan

    2015-05-14

    Properties of the Higgs boson with mass near 125GeV are measured in proton-proton collisions with the CMS experiment at the LHC. Comprehensive sets of production and decay measurements are combined. The decay channels include γγ, ZZ, WW, ττ, bb, and μμ pairs. The data samples were collected in 2011 and 2012 and correspond to integrated luminosities of up to 5.1fb-1 at 7TeV and up to 19.7fb-1 at 8TeV. From the high-resolution γγ and ZZ channels, the mass of the Higgs boson is determined to be 125.02+0.26–0.27 (stat) +0.14–0.15 (syst) GeV. For this mass value, the event yields obtained in themore » different analyses tagging specific decay channels and production mechanisms are consistent with those expected for the standard model Higgs boson. The combined best-fit signal relative to the standard model expectation is 1.00 ± 0.09(stat)+0.08–0.07 (theo) ± 0.07(syst) at the measured mass. The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays. As a result, no significant deviations are found.« less

  6. Whirlpool: Noncompliance Determination (2013-SE-1420)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Whirlpool Corporation finding that refrigerator-freezer basic model 8TAR81 does not comport with the energy conservation standards.

  7. Morris: Noncompliance Determination (2013-SE-5403)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Morris Products, Inc. finding that various models of metal halide lamp fixtures do not comport with the energy conservation standards.

  8. CX-007901: Categorical Exclusion Determination | Department of...

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

    CX-007901: Categorical Exclusion Determination Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean...

  9. Watermark: Noncompliance Determination (2011-SW-2908)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Watermark Designs, Ltd. finding that model SH-FAL-90, a showerhead, does not comport with the water conservation standards.

  10. Zoe Industries: Noncompliance Determination (2011-SW-2912)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Zoe Industries, Inc. finding that Giessdorf 150043 model, a showerhead, does not comport with the water conservation standards.

  11. CX-100380 Categorical Exclusion Determination | Department of...

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

    CX-100380 Categorical Exclusion Determination Predictive Models and Novel Accelerated Tests for the Reliability of Front-Contact and Back-Contact Cell Metallization and Solder...

  12. ET Industries: Noncompliance Determination (2012-SE-2902)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to ET Industries, Inc. finding that showerhead basic model TH-1 does not comport with the water conservation standards.

  13. Felix Storch: Noncompliance Determination (2010-SCE-0111)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Felix Storch finding that basic model FS62, a compact upright freezer, does not comport with the energy conservation standards.

  14. Mueller Streamline: Noncompliance Determination (2011-SW-2802)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Mueller Streamline Co. finding that faucet model 120-003NL does not comport with the water conservation standards.

  15. Bigwall: Noncompliance Determination (2014-SE-15006)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued a Notice of Noncompliance Determination to Bigwall Enterprises, Inc. finding that PerfectAire brand model PACH8000 ("Bigwall model PACH8000") of room air conditioners do not comport with the energy conservation standards.

  16. Method for determining gene knockouts

    DOE Patents [OSTI]

    Maranas, Costas D.; Burgard, Anthony R.; Pharkya, Priti

    2011-09-27

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

  17. Method for determining gene knockouts

    DOE Patents [OSTI]

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

    2013-06-04

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

  18. CX-012693: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  19. New Model Examines Cumulative Impacts of Wind Energy Development on Sensitive Species

    Broader source: Energy.gov [DOE]

    DOE's Argonne National Laboratory recently developed the prototype of a spatially explicit individual-based model for examining the cumulative impacts of wind energy development on populations and habitats of the greater sage grouse (Centrocercus urophasianus)—an important wildlife species that has been affected by energy development in the western United States.

  20. Everest Refrigeration: Noncompliance Determination (2015-SE-42001) |

    Office of Environmental Management (EM)

    Department of Energy Noncompliance Determination (2015-SE-42001) Everest Refrigeration: Noncompliance Determination (2015-SE-42001) April 24, 2015 DOE issued a Notice of Noncompliance Determination to Bu Sung America Corporation (dba Everest Refrigeration) finding that commercial refrigeration equipment model number ESGR3 does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Bu Sung must immediately notify each person (or

  1. Coeur d'Alene Tribe Fish, Water and Wildlife Program : Coeur d'Alene Tribe Trout Production Facility Master Plan.

    SciTech Connect (OSTI)

    Peters, Ronald L.; Woodward-Lilengreen, Kelly L.; Vitale, Angelo J.

    1999-09-01

    The Northwest Power Planning Council (Council) receives and reviews proposals to mitigate for fish and wildlife losses and refers approved measures to Bonneville Power Administration (BPA) for funding. The Northwest Power Act (Act) calls on the Council to include measures in its Columbia River Basin Fish and Wildlife Program (Program) to address system-wide fish and wildlife losses. The Act further states that the Council may include in its Program measures that provide off-site mitigation--mitigation physically removed from the hydro project(s) that caused the need to mitigate. The Program includes a goal ''to recover and preserve the health of native resident fish injured by the hydropower system, where feasible, and, where appropriate, to use resident fish to mitigate for anadromous fish losses in the system.'' Among those recommended measures are off-site mitigation for losses of anadromous fisheries including the measure under analysis in this Coeur d'Alene Tribe Trout Production Facility Master Plan, proposed by the Coeur d'Alene Tribe. To meet the need for off-site mitigation for anadromous fish losses in the Columbia River Basin in a manner consistent with the objectives of the Council's Fish and Wildlife Program, the Coeur d'Alene Tribe is proposing that the BPA fund the design, construction, operations and maintenance of a trout production facility on the Coeur d'Alene Indian Reservation. Measures for establishing a Coeur d'Alene fish production facility have been a part of the Council's Program since 1987. The Coeur d'Alene Tribe Trout Production Facility is intended to rear and release westslope cutthroat trout into rivers and streams with the express purpose of increasing the numbers of fish spawning, incubating and rearing in the natural environment. It will use the modern technology that hatcheries offer to overcome the mortality resulting from habitat degradation in lakes, rivers, and streams after eggs are laid in the gravel. Supplementation of native fish stocks in conjunction with effective habitat restoration will be the primary means of achieving these biological goals. Overarching goals for the program include: (1) Protection, mitigation, and enhancement of Columbia River Basin native resident fish resources. (2) Develop, increase, and/or reintroduce natural spawning populations of westslope cutthroat trout into reservation waters. (3) Provide both short and long-term harvest opportunities for the reservation community. (4) Sustain long-term fitness and genetic integrity of targeted fish populations. (5) Keep ecological and genetic impacts to non-targeted fish populations to a minimum.

  2. Lutron Electronics: Noncompliance Determination (2012-SE-3796)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Lutron Electronics Co., Inc. finding that a variety of Class A external power supply basic models do not comport with the energy conservation standards.

  3. Simkar: Noncompliance Determination (2012-SE-5408)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Simkar Corporation finding that magnetic probe-start and pulse-start basic models of metal halide lamp fixtures do not comport with the energy conservation standards.

  4. Precision: Noncompliance Determination (2013-SE-1410)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Precision Trading Corp. finding that Precision brand model Premium PFR515M, a freezer, does not comport with the energy conservation standards.

  5. Haier: Noncompliance Determination (2011-SE-1428)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Haier America Trading, LLC finding that Haier model HMCM106EA, a freezer, does not comport with the energy conservation standards.

  6. Sanyo: Noncompliance Determination (2013-SE-1428)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Sanyo E & E Corporation finding that model number SBC-500, a compact refrigerator with manual defrost, does not comport with the energy conservation standards.

  7. Midea: Noncompliance Determination (2012-SE-1404)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued a Notice of Noncompliance Determination to Midea America Corp. finding that basic models UL-WD195-D and UL-WD145-D of freezers do not comport with the energy conservation standards.

  8. Engineered Products: Noncompliance Determination (2012-SE-5401)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Engineered Products Company finding that basic model 15701 of metal halide lamp fixture does not comport with the energy conservation standards.

  9. Mile High: Noncompliance Determination (2012-SE-4501)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Mile High Equipment, LLC finding that Ice-O-Matic brand automatic commercial ice maker basic model ICE2106 FW, HW does not comport with the energy conservation standards.

  10. Philips: Noncompliance Determination (2012-SE-2605)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Philips Lighting Electronics N. A. finding that basic model VEL-I S40-SC, a fluorescent lamp ballast, does not comport with the energy conservation standards.

  11. LG: Noncompliance Determination (2014-SE-15011)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to LG Electronics USA, Inc. finding that room air conditioner basic model LT143CNR does not comport with the energy conservation standards.

  12. Aspen: Noncompliance Determination (2010-SE-0305)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Aspen Manufacturing finding that a variety of basic models of split-system air conditioning heat pumps do not comport with the energy conservation standards.

  13. Golden Opportunity: Noncompliance Determination (2013-SE-1418)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Golden Opportunity, Inc. finding that freezer models Golden GFC51 and Golden GFC69 do not comport with the energy conservation standards.

  14. Universal: Noncompliance Determination (2013-SE-26004)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Universal Lighting Technologies, Inc. finding that fluorescent lamp ballast model B140R277HP does not comport with the energy conservation standards.

  15. Felix Storch: Noncompliance Determination (2011-SE-1420)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Felix Storch, Inc., finding that model number CF11ES, a chest freezer does not comport with the energy conservation standards.

  16. Central Moloney: Noncompliance Determination (2013-SE-4702)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Central Moloney, Inc. finding that liquid-immersed distribution transformer basic models 30300150 and 32500095 do not comport with the energy conservation standards.

  17. Whirlpool: Compliance Determination (2010-SE-0103)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued a Notice of Compliance Determination to Whirlpool Corporation after DOE testing confirmed that the Maytag refrigerator-freezer model MSD2578VE comports with the applicable energy conservation standard.

  18. YMGI: Noncompliance Determination (2011-SCE-1605)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to YMGI Group, LLC, finding that YMGI's through-the-wall split system central air conditioner basic model TTWC-18K-31B fails to meet applicable DOE energy conservation standards.

  19. Hicon: Noncompliance Determination (2013-SE-1426)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Ningbo Hicon International Industry Company, Ltd. finding that model number BD-200, a compact chest freezer, does not comport with the energy conservation standards.

  20. Sunshine Lighting: Noncompliance Determination (2014-SE-54008)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Sunshine Lighting Company finding that Sunlite brand metal halide lamp fixture basic models 04937-SU, 04938-SU, 04952 SU, and 04956 SU do not comport with the energy conservation standards.

  1. Cooper: Noncompliance Determination (2012-SE-4701)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Cooper Power Systems, LLC finding that basic models 277-99.28, 277-99.26, and 277-99.22 of distribution transformers do not comport with the energy conservation standards.

  2. Fuzhou Sunlight: Noncompliance Determination (2010-SE-1402)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Fuzhou Sunlight Lighting Electrical Appliance Co., Ltd. finding that a variety of models of incandescent reflector lamps do not comport with the energy conservation standards.

  3. Goodman Manufacturing: Noncompliance Determination (2011-SE-4301)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Goodman Manufacturing finding that model CPC180XXX3BXXXAA (CPC180*) of commercial package air conditioner does not comport with the energy conservation standards.

  4. Patterson: Noncompliance Determination (2011-SW-2911)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Dan Patterson finding that the "ThunderHead" showerhead basic model manufactured by ET Industries, Inc. and imported by Dan Patterson does not comport with the water conservation standards.

  5. Bigwall: Noncompliance Determination (2013-SE-1412)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Bigwall Enterprises, Inc. finding that freezer model W1CF106 under the Wellington brand (''the Wellington W1CF106") does not comport with the energy conservation standards.

  6. Harrington: Noncompliance Determination (2014-SW-28011)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Harrington Brass Works finding that kitchen faucet individual model 20-210-026 does not comport with the water conservation standards.

  7. Midea: Noncompliance Determination (2010-SE-0110)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Midea America Corporation finding that basic model number HS-390C, a chest freezer, does not comport with the energy conservation standards.

  8. Victory: Noncompliance Determination (2015-SE-42033) | Department of Energy

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

    Noncompliance Determination (2015-SE-42033) Victory: Noncompliance Determination (2015-SE-42033) August 18, 2015 DOE issued a Notice of Noncompliance Determination to Victory Refrigeration finding that commercial refrigeration equipment basic model number RFS-1D-S1-EW-PT-HD (including each individual model within the basic model) does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Victory must immediately notify each person

  9. Sherman Creek Hatchery; Washington Department of Fish and Wildlife Fish Program, 2003 Annual Report.

    SciTech Connect (OSTI)

    Lovrak, Jon; Combs, Mitch

    2004-01-01

    Sherman Creek Hatchery's primary objective is the restoration and enhancement of the recreational and subsistence fishery in Lake Roosevelt and Banks Lake. The Sherman Creek Hatchery (SCH) was designed to rear 1.7 million kokanee fry for acclimation and imprinting during the spring and early summer. Additionally, it was designed to trap all available returning adult kokanee during the fall for broodstock operation and evaluation. Since the start of this program, the operations on Lake Roosevelt have been modified to better achieve program goals. The Washington Department of Fish and Wildlife, Spokane Tribe of Indians and the Colville Confederated Tribes form the interagency Lake Roosevelt Hatcheries Coordination Team (LRHCT) which sets goals and objectives for both Sherman Creek and the Spokane Tribal Hatchery. The LRHCT also serves to coordinate enhancement efforts on Lake Roosevelt and Banks Lake. Since 1994 the kokanee fingerling program has changed to yearling releases. By utilizing both the hatcheries and additional net pens, up to 1,000,000 kokanee yearlings can be reared and released. The construction and operation of twenty net pens in 2001 enabled the increased production. Another significant change has been to rear up to 300,000 rainbow trout fingerling at SCH from July through October, for stocking into the volunteer net pens. This enables the Spokane Tribal Hatchery (STH) to rear additional kokanee to further the enhancement efforts on Lake Roosevelt. Current objectives include increased use of native tributary stocks where available for propagation into Upper Columbia River Basin waters. The Lake Roosevelt Fisheries Evaluation Program (LRFEP) is responsible for monitoring and evaluation on the Lake Roosevelt Projects. From 1988 to 1998, the principal sport fishery on Lake Roosevelt has shifted from walleye to include rainbow trout and kokanee salmon (Underwood et al. 1997, Tilson and Scholz 1997). The angler use, harvest rates for rainbow and kokanee and the economic value of the fishery has increased substantially during this 10-year period. The investigations on the lake also suggest that the hatchery and net pen programs have enhanced the Lake Roosevelt fishery while not negatively impacting wild and native stocks within the lake. The 2003 Fourth Annual Two Rivers Trout Derby was again a great success. The harvest and data collection were the highest level to date with 1,668 rainbow trout and 416 kokanee salmon caught. The fishermen continue to praise the volunteer net pen program and the hatchery efforts as 90% of the rainbows and 93% of the kokanee caught were of hatchery origin (Lee, 2003).

  10. Ford Hatchery; Washington Department of Fish and Wildlife Fish Program, Hatcheries Division, Annual Report 2003.

    SciTech Connect (OSTI)

    Lovrak, Jon; Ward, Glen

    2004-01-01

    Bonneville Power Administration's participation with the Washington Department of Fish and Wildlife, Ford Hatchery, provides the opportunity for enhancing the recreational and subsistence kokanee fisheries in Banks Lake. The artificial production and fisheries evaluation is done cooperatively through the Spokane Hatchery, Sherman Creek Hatchery (WDFW), Banks Lake Volunteer Net Pen Project, and the Lake Roosevelt Fisheries Evaluation Program. Ford Hatchery's production, together with the Sherman Creek and the Spokane Tribal Hatchery, will contribute to an annual goal of one million kokanee yearlings for Lake Roosevelt and 1.4 million kokanee fingerlings and fry for Banks Lake. The purpose of this multi-agency program is to restore and enhance kokanee salmon and rainbow trout populations in Lake Roosevelt and Banks Lake due to Grand Coulee Dam impoundments. The Ford Hatchery will produce 9,533 lbs. (572,000) kokanee annually for release as fingerlings into Banks Lake in October. An additional 2,133 lbs. (128,000) kokanee will be transferred to net pens on Banks Lake at Electric City in October. The net pen raised kokanee will be reared through the fall, winter, and early spring to a total of 8,533 lbs and released in May. While the origin of kokanee comes from Lake Whatcom, current objectives will be to increase the use of native (or, indigenous) stocks for propagation in Banks Lake and the Upper Columbia River. Additional stocks planned for future use in Banks Lake include Lake Roosevelt kokanee and Meadow Creek kokanee. The Ford Hatchery continues to produce resident trout (80,584 lb. per year) to promote the sport fisheries in trout fishing lakes in eastern Washington (WDFW Management, Region 1). Operation and maintenance funding for the increased kokanee program was implemented in FY 2001 and scheduled to continue through FY 2010. Funds from BPA allow for an additional employee at the Ford Hatchery to assist in the operations and maintenance associated with kokanee production. Fish food, materials, and other supplies associated with this program are also funded by BPA. Other funds from BPA will also improve water quality and supply at the Ford Hatchery, enabling the increased fall kokanee fingerling program. Monitoring and evaluation of the Ford stocking programs will include existing WDFW creel and lake survey programs to assess resident trout releases in trout managed waters. BPA is also funding a creel survey to assess the harvest of hatchery kokanee in Banks Lake.

  11. Sherman Creek Hatchery; Washington Department of Fish and Wildlife Fish Program, 2001 Annual Report.

    SciTech Connect (OSTI)

    Combs, Mitch

    2002-01-01

    Sherman Creek Hatchery's primary objective is the restoration and enhancement of the recreational and subsistence fishery in Lake Roosevelt and Banks Lake. The Sherman Creek Hatchery (SCH) was designed to rear 1.7 million kokanee fry for acclimation and imprinting during the spring and early summer. Additionally, it was designed to trap all available returning adult kokanee during the fall for broodstock operations and evaluations. Since the start of this program, the operations on Lake Roosevelt have been modified to better achieve program goals. The Washington Department of Fish and Wildlife, Spokane Tribe of Indians and the Colville Confederated Tribe form the interagency Lake Roosevelt Hatcheries Coordination Team (LRHCT) which sets goals and objectives for both Sherman Creek and the Spokane Tribal Hatchery and serves to coordinate enhancement efforts on Lake Roosevelt and Banks Lake. The primary changes have been to replace the kokanee fingerling program with a yearling (post smolt) program of up to 1,000,000 fish. To construct and operate twenty net pens to handle the increased production. The second significant change was to rear up to 300,000 rainbow trout fingerling at SCH from July through October, for stocking into the volunteer net pens. This enables the Spokane Tribal Hatchery (STH) to rear additional kokanee to further the enhancement efforts on Lake Roosevelt. Current objectives include increased use of native/indigenous stocks where available for propagation into Upper Columbia River Basin Waters. Monitoring and evaluation is preformed by the Lake Roosevelt Fisheries Monitoring Program. From 1988 to 1998, the principle sport fishery on Lake Roosevelt has shifted from walleye to include rainbow trout and kokanee salmon (Underwood et al. 1997, Tilson and Scholz 1997). The angler use, harvest rates for rainbow and kokanee and the economic value of the fishery has increased substantially during this 10-year period. The most recent information from the monitoring program also suggests that the hatchery and net pen rearing programs have been beneficial to enhancing the Lake Roosevelt fishery while not negatively impacting wild and native stocks within the lake. The 2001 fishing season has been especially successful with great fishing for both rainbow and kokanee throughout Lake Roosevelt. The results of the Two Rivers Fishing Derby identified 100 percent of the rainbow and 47 percent of the kokanee caught were of hatchery origin.

  12. Sherman Creek Hatchery; Washington Department of Fish and Wildlife Fish Program; 2002 Annual Report.

    SciTech Connect (OSTI)

    Combs, Mitch

    2003-01-01

    Sherman Creek Hatchery's primary objective is the restoration and enhancement of the recreational and subsistence fishery in Lake Roosevelt and Banks Lake. The Sherman Creek Hatchery (SCH) was designed to rear 1.7 million kokanee fry for acclimation and imprinting during the spring and early summer. Additionally, it was designed to trap all available returning adult kokanee during the fall for broodstock operations and evaluations. Since the start of this program, the operations on Lake Roosevelt have been modified to better achieve program goals. The Washington Department of Fish and Wildlife, Spokane Tribe of Indians and the Colville Confederated Tribe form the interagency Lake Roosevelt Hatcheries Coordination Team (LRHCT) which sets goals and objectives for both Sherman Creek and the Spokane Tribal Hatchery and serves to coordinate enhancement efforts on Lake Roosevelt and Banks Lake. The primary changes have been to replace the kokanee fingerling program with a yearling (post smolt) program of up to 1,000,000 fish. To construct and operate twenty net pens to handle the increased production. The second significant change was to rear up to 300,000 rainbow trout fingerling at SCH from July through October, for stocking into the volunteer net pens. This enables the Spokane Tribal Hatchery (STH) to rear additional kokanee to further the enhancement efforts on Lake Roosevelt. Current objectives include increased use of native/indigenous stocks where available for propagation into Upper Columbia River Basin Waters. The Lake Roosevelt Fisheries Evaluation Program (LRFEP) is responsible for monitoring and evaluation on the Lake Roosevelt Projects. From 1988 to 1998, the principal sport fishery on Lake Roosevelt has shifted from walleye to include rainbow trout and kokanee salmon (Underwood et al. 1997, Tilson and Scholz 1997). The angler use, harvest rates for rainbow and kokanee and the economic value of the fishery has increased substantially during this 10-year period. The investigations on the lake also suggest that the hatchery and net pen programs have enhanced the Lake Roosevelt fishery while not negatively impacting wild and native stocks within the lake. The 2002 Third Annual Two Rivers Trout Derby was again a great success with 529 rainbow trout and 80 kokanee salmon caught. The fishermen had a lot of praise for the volunteer net pen program and the hatchery efforts as 84% of the rainbows and 62% of the kokanee caught were of hatchery origin (Lee, 2002).

  13. 2009 Federal Register, 74 FR 50239; Centralized Library: U.S. Fish and Wildlife Service - FR Doc E9-23556

    National Nuclear Security Administration (NNSA)

    0239 Federal Register / Vol. 74, No. 188 / Wednesday, September 30, 2009 / Notices Dated: July 13, 2009. Cynthia K. Dohner, Acting Regional Director. [FR Doc. E9-23559 Filed 9-29-09; 8:45 am] BILLING CODE 4310-55-P DEPARTMENT OF THE INTERIOR Fish and Wildlife Service [FWS-R8-ES-2009-N141; 80221-1112- 0000-F2] Amendment of the Clark County Multiple Species Habitat Conservation Plan and Issuance of an Amended Incidental Take Permit, Clark County, NV AGENCY: Fish and Wildlife Service, Interior.

  14. Preliminary assessment of the ecological risks to wide-ranging wildlife species on the Oak Ridge Reservation. 1996 update

    SciTech Connect (OSTI)

    Sample, B.E.; Hinzman, R.L.; Jackson, B.L.; Baron, L.

    1996-09-01

    More than approximately 50 years of operations, storage, and disposal of wastes generated by the three facilities on the Oak Ridge Reservation (ORR) (the Oak Ridge K-25 Site, Oak Ridge National Laboratory, and the Oak Ridge Y-12 Plant) has resulted in a mosaic of uncontaminated property and lands that are contaminated to varying degrees. This contaminated property includes source areas and the terrestrial and aquatic habitats down gradient from these source areas. Although the integrator OUs generally contain considerable habitat for biota, the source OUs provide little or no suitable habitat. Historically, ecological risk assessment at Comprehensive Environmental Response, Compensation, and Liability Act (CERCLA) sites has focused on species that may be definitively associated with a contaminated area or source OU. Endpoints considered in source OUs include plants, soil/litter invertebrates and processes, aquatic biota found in on-OU sediments and surface waters, and small herbivorous, omnivorous, and vermivorous (i.e., feeding on ground, litter, or soil invertebrates) wildlife. All of these endpoints have limited spatial distributions or home ranges such that numerous individuals or a distinct population can be expected to reside within the boundaries of the source OU. Most analyses are not adequate for large sites with multiple, spatially separated contaminated areas such as the ORR that provide habitat for wide-ranging wildlife species. This report is a preliminary response to a plan for assessing risks to wide-ranging species.

  15. Preliminary assessment of the ecological risks to wide-ranging wildlife species on the Oak Ridge Reservation

    SciTech Connect (OSTI)

    Sample, B.E.; Baron, L.A.; Jackson, B.L.

    1995-08-01

    Historically, ecological risk assessment at CERCLA sites [such as the Oak Ridge Reservation (ORR)], has focused on species that may be definitively associated with a contaminated area or source operable unit. Consequently the species that are generally considered are those with home ranges small enough such that multiple individuals or a distinct population can be expected to reside within the boundaries of the contaminated site. This approach is adequate for sites with single, discrete areas of contamination that only provide habitat for species with limited requirements. This approach is not adequate however for large sites with multiple, spatially separated contaminated areas that provide habitat for wide-ranging wildlife species. Because wide-ranging wildlife species may travel between and use multiple contaminated sites they may be exposed to and be at risk from contaminants from multiple locations. Use of a particular contaminated site by wide-ranging species will be dependent upon the amount of suitable habitat available at that site. Therefore to adequately evaluate risks to wide-ranging species at the ORR-wide scale, the use of multiple contaminated sites must be weighted by the amount of suitable habitat on OUs. This reservation-wide ecological risk assessment is intended to identify which endpoints are significantly at risk; which contaminants are responsible for this risk; and which OUs significantly contribute to risk.

  16. Aspen: Noncompliance Determination (2011-SE-1602)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Aspen Manufacturing finding that indoor unit model AEW244 and outdoor unit model NCPC-424-3010 of residential split system central air conditioning system do not comport with the energy conservation standards.

  17. CNA: Noncompliance Determination (2013-SE-1430)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to CNA International, Inc., d/b/a MC Appliance Corp. finding that Magic Chef-brand model HMCF7W ("CNA model HMCF7W") does not comport with the energy conservation standards.

  18. Sears: Noncompliance Determination (2011-SE-1418)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Sears, Roebuck & Co. finding that Kenmore-brand model number 255.19502010 ("19502") and Kenmore-brand model number 255.19702010 ("19702"), compact chest freezers, do not comport with the energy conservation standards.

  19. Determination Of Ph Including Hemoglobin Correction

    DOE Patents [OSTI]

    Maynard, John D. (Albuquerque, NM); Hendee, Shonn P. (Albuquerque, NM); Rohrscheib, Mark R. (Albuquerque, NM); Nunez, David (Albuquerque, NM); Alam, M. Kathleen (Cedar Crest, NM); Franke, James E. (Franklin, TN); Kemeny, Gabor J. (Madison, WI)

    2005-09-13

    Methods and apparatuses of determining the pH of a sample. A method can comprise determining an infrared spectrum of the sample, and determining the hemoglobin concentration of the sample. The hemoglobin concentration and the infrared spectrum can then be used to determine the pH of the sample. In some embodiments, the hemoglobin concentration can be used to select an model relating infrared spectra to pH that is applicable at the determined hemoglobin concentration. In other embodiments, a model relating hemoglobin concentration and infrared spectra to pH can be used. An apparatus according to the present invention can comprise an illumination system, adapted to supply radiation to a sample; a collection system, adapted to collect radiation expressed from the sample responsive to the incident radiation; and an analysis system, adapted to relate information about the incident radiation, the expressed radiation, and the hemoglobin concentration of the sample to pH.

  20. Temperature determination using pyrometry

    DOE Patents [OSTI]

    Breiland, William G.; Gurary, Alexander I.; Boguslavskiy, Vadim

    2002-01-01

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

  1. Annual Report on Resident Fish Activities, 1985 Fiscal Year, Columbia River Basin Fish and Wildlife Program, Action Item 41.8.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1985-09-01

    This report addresses the status for resident fish projects currently implemented by the Bonneville Power Administration under the amended Columbia River Basin Fish and Wildlife Program. Projects that have been in place for a sufficient length of time are discussed in greater detail with a brief evaluation presented.

  2. NEPA Determination Complete

    Broader source: Energy.gov [DOE]

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

  3. Solids mass flow determination

    DOE Patents [OSTI]

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

    1981-01-01

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

  4. Proceedings from a Workshop on Ecological Carrying Capacity of Salmonids in the Columbia River Basin : Measure 7.1A of the Northwest Power Planning Council`s 1994 Fish and Wildlife Program : Report 3 of 4, Final Report.

    SciTech Connect (OSTI)

    Johnson, Gary E.; Neitzel, D.A.; Mavros, William V.

    1996-05-01

    This report contains the proceedings of a workshop held during 1995 in Portland, Oregon. The objective of the workshop was to assemble a group of experts that could help us define carrying capacity for Columbia River Basin salmonids. The workshop was one activity designed to answer the questions asked in Measure 7.1A of the Council`s Fish and Wildlife Program. Based, in part, on the information we learned during the workshop we concluded that the approach inherent in 7.1A will not increase understanding of ecology, carrying capacity, or limiting factors that influence salmon under current conditions. Measure 7.1A requires a definition of carrying capacity and a list of determinants (limiting factors) of capacity. The implication or inference then follows that by asking what we know and do not know about the determinants will lead to research that increases our understanding of what is limiting salmon survival. It is then assumed that research results will point to management actions that can remove or repair the limiting factors. Most ecologists and fisheries scientists that have studied carrying capacity clearly conclude that this approach is an oversimplification of complex ecological processes. To pursue the capacity parameter, that is, a single number or set of numbers that quantify how many salmon the basin or any part of the basin can support, is meaningless by itself and will not provide useful information.

  5. Letter Report Yucca Mountain Environmental Monitoring Systems Initiative - Air Quality Scoping Study for Pahranagat National Wildlife Refuge, Lincoln County, Nevada

    SciTech Connect (OSTI)

    J. Engelbrecht; I. Kavouras; D. Campbell; S. Campbell; S. Kohl; D. Shafer

    2009-04-02

    The Desert Research Institute (DRI) is performing a scoping study as part of the U.S. Department of Energy's Yucca Mountain Environmental Monitoring Systems Initiative (EMSI). The main objective is to obtain baseline air quality information for Yucca Mountain and an area surrounding the Nevada Test Site (NTS). Air quality and meteorological monitoring and sampling equipment housed in a mobile trailer (shelter) is collecting data at eight sites outside the NTS, including Ash Meadows National Wildlife Refuge (NWR), Pahranagat NWR, Beatty, Rachel, Caliente, Crater Flat, and Tonopah Airport, and at four sites on the NTS (Engelbrecht et al., 2007a-d). The trailer is stationed at any one site for approximately eight weeks at a time. This letter report provides a summary of air quality and meteorological data on completion of the site's sampling program.

  6. Letter Report: Yucca Mountain Environmental Monitoring Systems Initiative - Air Quality Scoping Study for Pahranagat National Wildlife Refuge, Lincoln County, Nevada

    SciTech Connect (OSTI)

    J. Englebrecht; I. Kavouras; D. Campbell; S. Campbell; S. Kohl; D. Shafer

    2008-08-01

    The Desert Research Institute (DRI) is performing a scoping study as part of the U.S. Department of Energy's Yucca Mountain Environmental Monitoring Systems Initiative (EMSI). The main objective is to obtain baseline air quality information for Yucca Mountain and an area surrounding the Nevada Test Site (NTS). Air quality and meteorological monitoring and sampling equipment housed in a mobile trailer (shelter) is collecting data at eight sites outside the NTS, including Ash Meadows National Wildlife Refuge (NWR), Pahranagat NWR, Beatty, Rachel, Caliente, Crater Flat, and Tonopah Airport, and at four sites on the NTS (Engelbrecht et al., 2007a-d). The trailer is stationed at any one site for approximately eight weeks at a time. This letter report provides a summary of air quality and meteorological data on completion of the site's sampling program.

  7. Seaga: Noncompliance Determination (2015-SE-52001) | Department of Energy

    Energy Savers [EERE]

    Seaga: Noncompliance Determination (2015-SE-52001) Seaga: Noncompliance Determination (2015-SE-52001) June 19, 2015 DOE issued a Notice of Noncompliance Determination to Seaga Manufacturing, Inc. finding that the refrigerated bottle and canned beverage vending machine (BVM) basic model with name plate model SP536R does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Seaga must immediately notify each person (or company) to

  8. Fish Passage Center; Columbia Basin Fish and Wildlife Authority, 2004 Annual Report.

    SciTech Connect (OSTI)

    DeHart, Michele

    2005-07-01

    The runoff volume for 2004 was below average throughout the Columbia Basin. At The Dalles the January-July runoff volume was 77% of average or 83.0 MAF. Grand Coulee, Hungry Horse, and Libby were below their Biological Opinion reservoir target elevations on April 10 at the beginning of the spring salmon migration season. All major storage reservoirs except Libby, Grand Coulee, Hungry Horse, Dworshak, and Brownlee were within a few feet of full by the end of June and early July. Overall, NOAA Biological Opinion seasonal flow targets were not met at any project for either spring or summer migrations of salmon and steelhead. Overall, spill was reduced in 2004. Implementation of Biological Opinion spill for fish passage measures was wrought with contention in 2004, particularly for summer spill which was finally the subject of litigation. The spring migration spill season began with debate among the fishery mangers and tribes and action agencies regarding spill at Bonneville Dam for the Spring Creek Hatchery release. The USFWS agreed to a spill test versus a corner collector operation to determine the best route for survival for these fish. The USFWS agreement includes no spill for early Spring Creek Hatchery releases for the next two years. Spring spill at Snake River transportation sites was eliminated after April 23, and transportation was maximized. The federal operators and regulators proposed to reduce Biological Opinion summer spill measures, while testing the impact of those reductions. This proposal was eventually rejected in challenges in the Federal Ninth Circuit Court. The Corps of Engineers reported that spill at Bonneville Dam in the 2002 to 2004 period was actually lower than reported due to a spill calibration error at the project. Because flows were low and spill levels were easily controlled few fish were observed with any signs of Gas Bubble Trauma. The annual Smolt Monitoring Program was implemented and provided in-season timing and passage characteristics for management purposes and also travel time and survival analyses. These analyses showed consistent significant relationships between flow and spill percent versus survival for Steelhead in each reach analyzed. These results point to the importance of maintain high flows and spill for steelhead survival through the hydrosystem. A significant relation between either travel time or spill percent and survival for yearling Chinook was found. Given the high correlation between the variables it is not surprising that only one is retained in these models. Again the findings show the importance of flows and spill in spring Chinook survival through the hydrosystem. Survival trends in the Lower Snake River have been steadily declining for in-river migrants over the past several years with two notable exceptions. The lowest survivals were measured in 2001 when low flows and very little or no spill was provided led to poor migration conditions. Also survival increased in 2003 when Biological Opinion spill was provided despite moderate to low flows. Reach survivals in 2004 in the Snake River were the second lowest following 2001. Sub-yearling survival in the mid-Columbia in 2004 between Rock Island and McNary Dam were very low compared to other recent years. The general run-at-large migration timing of sub-yearling fall Chinook in the Snake River has changed with the increasing releases of hatchery supplementation production in the Snake River.

  9. Westinghouse Lighting: Noncompliance Determination (2010-CE-09/1001)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Westinghouse Lighting Corporation finding that various models of incandescent reflector lamps do not comport with the energy conservation standards.

  10. Categorical Exclusion Determinations: Environmental Management...

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

    Consolidated Business Service Center Categorical Exclusion Determinations: Environmental Management Consolidated Business Service Center Categorical Exclusion Determinations issued...

  11. Waste Determination Equivalency - 12172

    SciTech Connect (OSTI)

    Freeman, Rebecca D.

    2012-07-01

    The Savannah River Site (SRS) is a Department of Energy (DOE) facility encompassing approximately 800 square kilometers near Aiken, South Carolina which began operations in the 1950's with the mission to produce nuclear materials. The SRS contains fifty-one tanks (2 stabilized, 49 yet to be closed) distributed between two liquid radioactive waste storage facilities at SRS containing carbon steel underground tanks with storage capacities ranging from 2,800,000 to 4,900,000 liters. Treatment of the liquid waste from these tanks is essential both to closing older tanks and to maintaining space needed to treat the waste that is eventually vitrified or disposed of onsite. Section 3116 of the Ronald W. Reagan National Defense Authorization Act of Fiscal Year 2005 (NDAA) provides the Secretary of Energy, in consultation with the Nuclear Regulatory Commission (NRC), a methodology to determine that certain waste resulting from prior reprocessing of spent nuclear fuel are not high-level radioactive waste if it can be demonstrated that the waste meets the criteria set forth in Section 3116(a) of the NDAA. The Secretary of Energy, in consultation with the NRC, signed a determination in January 2006, pursuant to Section 3116(a) of the NDAA, for salt waste disposal at the SRS Saltstone Disposal Facility. This determination is based, in part, on the Basis for Section 3116 Determination for Salt Waste Disposal at the Savannah River Site and supporting references, a document that describes the planned methods of liquid waste treatment and the resulting waste streams. The document provides descriptions of the proposed methods for processing salt waste, dividing them into 'Interim Salt Processing' and later processing through the Salt Waste Processing Facility (SWPF). Interim Salt Processing is separated into Deliquification, Dissolution, and Adjustment (DDA) and Actinide Removal Process/Caustic Side Solvent Extraction Unit (ARP/MCU). The Waste Determination was signed by the Secretary of Energy in January of 2006 based on proposed processing techniques with the expectation that it could be revised as new processing capabilities became viable. Once signed, however, it became evident that any changes would require lengthy review and another determination signed by the Secretary of Energy. With the maturation of additional salt removal technologies and the extension of the SWPF start-up date, it becomes necessary to define 'equivalency' to the processes laid out in the original determination. For the purposes of SRS, any waste not processed through Interim Salt Processing must be processed through SWPF or an equivalent process, and therefore a clear statement of the requirements for a process to be equivalent to SWPF becomes necessary. (authors)

  12. Award Fee Determination Summary

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

    2 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, Attachment J.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: FY 2012 Base Period Fee Available Fee allocated to FY 2012* Performance Measures $10,399,033.60 Incremental Fee $4,490,000.00 Provisional Fee

  13. Award Fee Determination Summary

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

    1 CH2M Hill Plateau Remediation Company Contract Number: DE-AC06-08RL14788 Final Fee Determination for Base funded and American Recovery and Reinvestment Act (Recovery) funded Performance Measures Basis of Evaluation: Completion of Performance Measures contained in Section J, AttachmentJ.4, Performance Evaluation and Measurement Plan, according to the identified completion criteria. Evaluation Results: Fiscal Year 2011 (Oct 1, 2010 - Sept 30, 2011) Base Funded Fee Recovery Funded Fee Available

  14. Interim Action Determination

    Office of Environmental Management (EM)

    Interim Action Determination Processing of Plutonium Materials from the DOE Standard 3013 Surveillance Program in H-Canyon at the Savannah River Site The Department of Energy (DOE) is preparing the Surplus Plutonium Disposition Supplemental Environmental Impact Statement (SPD SEIS, DOE/EIS-0283-S2). DOE is evaluating alternatives for disposition of non-pit plutonium that is surplus to the national security needs of the United States. Although the Deputy Secretary of Energy approved Critical

  15. ENVIRONMENTAL REVIEW FOR CATEGORICAL EXCLUSION DETERMINATION

    Office of Environmental Management (EM)

    Curecanti-Poncha 230-kV Transmission Line Cross Bar Ranch Project A. Brief Description of Proposal: Western Area Power Administration (Western) proposes to fund off right-of-way (ROW) vegetation restoration treatments immediately adjacent to Western's Curecanti-Poncha 230-kV Transmission Line (CCI-PON) in Gunnison County, Colorado. This project is a continuation of the larger Forest Service Calf Creek Project which focused on timber stand improvements, wildlife habitat improvements, and

  16. Midea: Noncompliance Determination (2014-SW-20001)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Hefei Rongshida Washing Equipment Manufacturing Co., Ltd. ("Hefei Rongshida"), a subsidiary of Midea Group, finding that model MAE80-S1702GPS, a residential clothes washer, does not comport with the energy conservation standards.

  17. Grainger: Noncompliance Determination (2013-SE-1411)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Grainger International Inc. finding that freezer models, privately labeled as the Dayton 5NTX4, the Dayton 5NTX5, and the Dayton 5NTX6 do not comport with the energy conservation standards.

  18. Pax Global: Noncompliance Determination (2013-SE-1413)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Pax Global, Inc. finding that freezer basic models (1) Crosley CCF51; (2) Crosley CCF69; (3) Crosley CCF106; and (4) Daewoo DCF-106W do not comport with the energy conservation standards.

  19. Teddico: Noncompliance Determination (2012-SE-5409)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to The Electrical Design, Development and Implementation Company d/b/a Teddico finding that a variety of basic models of magnetic probe-start metal halide lamp fixtures do not comport with the energy conservation standards.

  20. Midea: Noncompliance Determination (2013-SE-1505)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to GD Midea Air-Conditioning Equipment Co. Ltd. finding that Arctic King brand room air conditioner basic model MWJ1-08ERN1-BI8, manufactured by Midea, does not comport with the energy conservation standards.

  1. Heat Controller: Noncompliance Determination (2014-SE-15004)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued a Notice of Noncompliance Determination to Heat Controller, Inc. finding that the room air conditioner distributed in commerce by Heat Controller as Comfort Aire brand models CGREG-81H and REG-81J does not comport with the energy conservation standards.

  2. Midea America: Noncompliance Determination (2014-SEW-20006)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Midea America Corp. finding that residential clothes washer basic model MAE80-S1702GPS, manufactured by Hefei Rongshida Washing Equipment Manufacturing Co., Ltd., a subsidiary of Midea Group, and distributed by Midea America does not comport with the energy and water conservation standards.

  3. Dose Modeling Evaluations and Technical Support Document For the Authorized Limits Request for the DOE-Owned Property Outside the Limited Area, Paducah Gaseous Diffusion Plant Paducah, Kentucky

    SciTech Connect (OSTI)

    Boerner, A. J.; Maldonado, D. G.; Hansen, Tom

    2012-09-01

    Environmental assessments and remediation activities are being conducted by the U.S. Department of Energy (DOE) at the Paducah Gaseous Diffusion Plant (PGDP), Paducah, Kentucky. The Oak Ridge Institute for Science and Education (ORISE), a DOE prime contractor, was contracted by the DOE Portsmouth/Paducah Project Office (DOE-PPPO) to conduct radiation dose modeling analyses and derive single radionuclide soil guidelines (soil guidelines) in support of the derivation of Authorized Limits (ALs) for 'DOE-Owned Property Outside the Limited Area' ('Property') at the PGDP. The ORISE evaluation specifically included the area identified by DOE restricted area postings (public use access restrictions) and areas licensed by DOE to the West Kentucky Wildlife Management Area (WKWMA). The licensed areas are available without restriction to the general public for a variety of (primarily) recreational uses. Relevant receptors impacting current and reasonably anticipated future use activities were evaluated. In support of soil guideline derivation, a Conceptual Site Model (CSM) was developed. The CSM listed radiation and contamination sources, release mechanisms, transport media, representative exposure pathways from residual radioactivity, and a total of three receptors (under present and future use scenarios). Plausible receptors included a Resident Farmer, Recreational User, and Wildlife Worker. single radionuclide soil guidelines (outputs specified by the software modeling code) were generated for three receptors and thirteen targeted radionuclides. These soil guidelines were based on satisfying the project dose constraints. For comparison, soil guidelines applicable to the basic radiation public dose limit of 100 mrem/yr were generated. Single radionuclide soil guidelines from the most limiting (restrictive) receptor based on a target dose constraint of 25 mrem/yr were then rounded and identified as the derived soil guidelines. An additional evaluation using the derived soil guidelines as inputs into the code was also performed to determine the maximum (peak) dose for all receptors. This report contains the technical basis in support of the DOE?s derivation of ALs for the 'Property.' A complete description of the methodology, including an assessment of the input parameters, model inputs, and results is provided in this report. This report also provides initial recommendations on applying the derived soil guidelines.

  4. Wildlife Densities and Habitat Use Across Temporal and Spatial Scales on the Mid-Atlantic Outer Continental Shelf. Final Report to the Department of Energy EERE Wind & Water Power Technologies Office

    SciTech Connect (OSTI)

    Williams, Kathryn A.; Stenhouse, Iain J.; Johnson, Sarah M.; Connelly, Emily E.

    2015-10-01

    The Mid-Atlantic Baseline Studies Project helped address environmental barriers to offshore wind energy development in the mid-Atlantic region by providing regulators, developers, and other stakeholders with comprehensive baseline ecological data and analyses. Project funders and collaborators from a range of academic institutions, non-governmental organizations, federal agencies, foundations, and private companies came together to study bird, sea turtle, and marine mammal distributions, densities, and movements on the mid-Atlantic Outer Continental Shelf between 2012 and 2014. Specific project activities and goals included the following: (1) Conduct standardized surveys to quantify bird, sea turtle, and marine mammal densities seasonally and annually throughout the study region and identify important habitat use or aggregation areas. (2) Develop statistical models to help understand the drivers of wildlife distribution and abundance patterns. (3) Use individual tracking data for several focal bird species to provide information on population connectivity and individual movements that is complementary to survey data. (4) Identify species that are likely to be exposed to offshore wind energy development activities in the mid-Atlantic study area. (5) Develop U.S.-based technological resources and assessment methods for future monitoring efforts, including a comparison of high resolution digital video aerial surveys to boat-based surveys. (6) Help meet data needs associated with National Environmental Policy Act (NEPA), Marine Mammal Protection Act, and Endangered Species Act requirements, by contributing several years of data and analysis towards future Environmental Impact Statements. This report consists of six parts: Project overview (executive summary and Chapters 1-2); Examining wildlife distributions and relative abundance from a digital video aerial survey platform (Chapters 3-6); Examining wildlife distributions and abundance using boat-based surveys (Chapters 7-12); Integrating data across survey platforms (Chapters 13-19); Individual movements and habitat use for focal bird species (Chapters 20-25); and Nocturnal avian migration monitoring (Chapters 26-27). Boat-based and digital video aerial surveys each had specific advantages and disadvantages, but were largely complementary (Chapters 1, 5, 13-14). Digital aerial surveys were particularly useful for covering offshore areas at broad scales, where general distributions of taxonomic groups were a priority; boat surveys could provide more detailed data on species identities and behaviors, but were more limited in geographic scope due to their slower survey pace. The mid-Atlantic study area was important for wintering and breeding taxa, and its location also made it a key migratory corridor. There was considerable variation in species composition and spatial patterns by season, largely driven by dynamic environmental conditions (Chapters 12, 15, and 20-22). Habitat gradients in nearshore waters, however, were reliable influences on productivity and patterns of species distributions and abundance. Areas within about 30-40 km of the coast offshore of the mouths of Chesapeake and Delaware Bays, as well as to the south of Delaware Bay along the coast, were consistent hotspots of abundance and species diversity, regardless of survey methodology or analytical approach (Chapters 2, 12, 17). Inter-annual variation was substantial, and the importance of certain environmental variables in predicting animal distributions indicates that these species may well respond to future environmental shifts brought about by anthropogenic effects and climatic change. This study is an important first step, however, towards understanding how bird, marine mammal, and sea turtle populations in the mid-Atlantic may be exposed to offshore wind energy development and other anthropogenic activities. The results of this study provide insight to help address environmental permitting requirements for current and future offshore development projects, and serve as a starting point for more site-speci

  5. Islandaire: Noncompliance Determination (2015-SE-43007) | Department of

    Office of Environmental Management (EM)

    Energy 7) Islandaire: Noncompliance Determination (2015-SE-43007) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-09ANR1-B, which includes models EZ4209B and EZDR09B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it

  6. Islandaire: Noncompliance Determination (2015-SE-43008) | Department of

    Office of Environmental Management (EM)

    Energy 8) Islandaire: Noncompliance Determination (2015-SE-43008) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-129ANR1-B, which includes models EZDR12B and EZD4212B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it

  7. Islandaire: Noncompliance Determination (2015-SE-43009) | Department of

    Office of Environmental Management (EM)

    Energy 9) Islandaire: Noncompliance Determination (2015-SE-43009) February 25, 2016 DOE issued a Notice of Noncompliance Determination to Islandaire, Inc. finding that the Islandaire package terminal air conditioner basic model CPZ-07ANR1-B, which includes model EZDR07B, does not comport with the applicable energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Islandaire must immediately notify each person (or company) to whom it distributed the

  8. Computational procedures for determining parameters in Ramberg-Osgood

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

    elastoplastic model based on modulus and damping versus strain (Technical Report) | SciTech Connect Computational procedures for determining parameters in Ramberg-Osgood elastoplastic model based on modulus and damping versus strain Citation Details In-Document Search Title: Computational procedures for determining parameters in Ramberg-Osgood elastoplastic model based on modulus and damping versus strain × You are accessing a document from the Department of Energy's (DOE) SciTech Connect.

  9. Perlick: Noncompliance Determination (2013-SE-14001) | Department of Energy

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

    Noncompliance Determination (2013-SE-14001) Perlick: Noncompliance Determination (2013-SE-14001) February 27, 2015 DOE issued a Notice of Noncompliance Determination to Perlick Corporation finding that freezer basic model HP24F does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Perlick must immediately notify each person (or company) to whom Perlick distributed the noncompliant products that the product does not meet Federal

  10. Traulsen: Noncompliance Determination (2015-SE-42002) | Department of

    Energy Savers [EERE]

    Energy Noncompliance Determination (2015-SE-42002) Traulsen: Noncompliance Determination (2015-SE-42002) April 28, 2015 DOE issued a Notice of Noncompliance Determination to Traulsen - ITW Food Group, LLC finding that commercial refrigeration equipment basic model number RDT132DUT-HHS does not comport with the energy conservation standards. DOE determined the product was noncompliant based on DOE testing. Traulsen must immediately notify each person (or company) to whom Traulsen distributed

  11. Philips: Noncompliance Determination (2014-SE-48006) | Department of Energy

    Energy Savers [EERE]

    Noncompliance Determination (2014-SE-48006) Philips: Noncompliance Determination (2014-SE-48006) March 26, 2015 DOE issued a Notice of Noncompliance Determination to Philips Lighting North America Corp. finding that a variety of illuminated exit sign models do not comport with the energy conservation standards, based on information provided to DOE by Philips. DOE determined the products were noncompliant based on testing information provided by the company. Philips must immediately notify each

  12. Hydrologic Modeling Capabilities

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

    Understanding complex hydrologic systems requires the ability to develop, utilize, and interpret both numerical and analytical models. The Defense Waste Management Programs has both experience and technical knowledge to use and develop Earth systems models. Hydrological Modeling Models are simplified representations of reality, which we accept do not capture every detail of reality. Mathematical and numerical models can be used to rigorously test geologic and hydrologic assumptions, determine

  13. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01

    The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.

  14. Criticality Model

    SciTech Connect (OSTI)

    A. Alsaed

    2004-09-14

    The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).

  15. A test of an expert-based bird-habitat relationship model in South Carolina.

    SciTech Connect (OSTI)

    Kilgo, John, C.; Gartner, David, L.; Chapman, Brian, R.; Dunning, John, B., Jr.; Franzreb, Kathleen, E.; Gauthreaux, Sidney, A.; Greenberg, Catheryn, H.; Levey, Douglas, J.; Miller, Karl, V.; Pearson, Scott, F.

    2002-01-01

    Wildlife-habitat relationships models are used widely by land managers to provide information on which species are likely to occur in an area of interest and may be impacted by a proposed management activity. Few such models have been tested. Recent Avian census data from the Savannah River Site, South Carolina was used to validate BIRDHAB, a geographic information system (GIS) model developed by United States Forest Service resource managers to predict relative habitat quality for birds at the stand level on national forests in the southeastern United States. BIRDHAB is based on the species-habitat matrices presented by Hamel (1992).

  16. Surface Environmental Surveillance Project: Locations Manual Volume 1 – Air and Water Volume 2 – Farm Products, Soil & Vegetation, and Wildlife

    SciTech Connect (OSTI)

    Fritz, Brad G.; Patton, Gregory W.; Stegen, Amanda; Poston, Ted M.

    2009-01-01

    This report describes all environmental monitoring locations associated with the Surface Environmental Surveillance Project. Environmental surveillance of the Hanford site and surrounding areas is conducted by the Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy (DOE). Sampling is conducted to evaluate levels of radioactive and nonradioactive pollutants in the Hanford environs, as required in DOE Order 450.1, Environmental Protection Program, and DOE Order 5400.5, Radiation Protection of the Public and the Environment. The environmental surveillance sampling design is described in the Hanford Site Environmental Monitoring Plan, United States Department of Energy, Richland Operation Office (DOE/RL-91-50). This document contains the locations of sites used to collect samples for the Surface Environmental Surveillance Project (SESP). Each section includes directions, maps, and pictures of the locations. A general knowledge of roads and highways on and around the Hanford Site is necessary to successfully use this manual. Supplemental information (Maps, Gazetteer, etc.) may be necessary if user is unfamiliar with local routes. The SESP is a multimedia environmental surveillance effort to measure the concentrations of radionuclides and chemicals in environmental media to demonstrate compliance with applicable environmental quality standards and public exposure limits, and assessing environmental impacts. Project personnel annually collect selected samples of ambient air, surface water, agricultural products, fish, wildlife, and sediments. Soil and vegetation samples are collected approximately every 5 years. Analytical capabilities include the measurement of radionuclides at very low environmental concentrations and, in selected media, nonradiological chemicals including metals, anions, volatile organic compounds, and total organic carbon.

  17. AeroSys: Noncompliance Determination (2010-SE-0302)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to AeroSys, Inc. finding that basic models THHP-24T* and THDC-30T* do not comport with the energy conservation standards.

  18. Sanden Vendo America: Noncompliance Determination (2014-SE-52002)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Sanden Vendo America Inc. finding that Class A refrigerated bottled or canned beverage vending machine model Vue30 (with 1128127 cassette refrigeration deck) does not comport with the energy conservation standards.

  19. Four Central Air Conditioners Determined Noncompliant With Energy Efficiency Standard

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy’s Office of Enforcement issued a Notice of Noncompliance Determination (Notice) on September 27, 2011, to AeroSys, Inc. (AeroSys) regarding four models of central ...

  20. Graded Interface Models for more accurate Determination of van...

    Office of Scientific and Technical Information (OSTI)

    length scale property variations. Authors: van Benthem, Klaus 1 ; Tan, Guolong 2 ; French, Roger H 3 ; DeNoyer, Linda K 4 ; Podgornik, Rudolf 5 ; Parsegian, V Adrian 5...

  1. CX-003619: Categorical Exclusion Determination | Department of Energy

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

    19: Categorical Exclusion Determination CX-003619: Categorical Exclusion Determination Advanced Technology Vehicle Manufacturing Project - Model S Manufacturing Facility CX(s) Applied: B1.31 Date: 08/31/2010 Location(s): Fremont, California Office(s): Advanced Technology Vehicles Manufacturing Loan Program The Department of Energy's (DOE's) proposed action is to disburse Federal loan funds to Tesla Motors, Incorporated (Tesla) to manufacture the Model S electric vehicle by retooling and

  2. CX-008998: Categorical Exclusion Determination | Department of Energy

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

    8: Categorical Exclusion Determination CX-008998: Categorical Exclusion Determination "Sustainable Manufacturing via Multi-scale Physics-based Process Modeling and Manufacturing-informed Design CX(s) Applied: A9, B3.6 Date: 08/27/2012 Location(s): Minnesota Offices(s): Golden Field Office The U.S. Department of Energy is proposing to provide federal funding to Third Wave Systems Inc (TWS) to conduct research and development to improve computer modeling software for manufacturing

  3. Washington Department of Fish and Wildlife Fish Program Hatcheries Division: Ford Hatchery, Annual Report 2001-2002.

    SciTech Connect (OSTI)

    Lewis, Mike; Polacek, Matt; Knuttgen, Kamia

    2002-11-01

    The Washington Department of Fish and Wildlife implemented the Banks Lake Fishery Evaluation Project (BLFEP) in September 2001 with funds from the Bonneville Power Administration. The first year of the BLFEP was used to gather historic information, establish methods and protocols, collect limnology data, and conduct the first seasonal fish surveys. Water quality parameters were collected monthly from February to May and bi-monthly from June to August. Banks Lake water temperatures began to increase in April and stratification was apparent by June at all 3 limnology collection sites. By late August, the thermocline had dropped to nearly 20 m deep, with 19-20 C temperatures throughout the epilimnion. Dissolved oxygen levels were generally above 10 mg/L until mid summer when dissolved oxygen dropped near or below 5 mg/L below 20-m deep. Secchi depths ranged from 3-10 m and varied by location and date. Nearshore and offshore fish surveys were conducted in May and July using boat electrofishing, fyke net, gill net, and hydroacoustic surveys. Smallmouth bass Micropterous dolomieui (24%) and lake whitefish Coregonus clupeaformis (20%) dominated the nearshore species composition in May; however, by July yellow perch Perca flavescens (26%) were the second most common species to smallmouth bass (30%). Lake whitefish dominated the offshore catch during May (72%) and July (90%). The May hydroacoustic survey revealed highest densities of fish in the upper 1/3 of the water column in the mid- to northern sections of the reservoir near Steamboat Rock. In the future, data from seasonal surveys will be used to identify potential factors that may limit the production and harvest of kokanee, rainbow trout, and various spiny-rayed fishes in Banks Lake. The limiting factors that will be examined consist of: abiotic factors including water temperature, dissolved oxygen levels, habitat, exploitation and entrainment; and biotic factors including food limitation and predation. The BLFEP will also evaluate the success of several rearing and stocking strategies for hatchery kokanee in Banks Lake.

  4. Significance of Cytochrome P450 System Responses and Levels of Bile Fluorescent Aromatic Compounds in Marine Wildlife Following Oil Spills

    SciTech Connect (OSTI)

    Lee, Richard F.; Anderson, Jack W.

    2005-07-01

    The relationships among cytochrome P450 induction in marine wildlife species, levels of fluorescent aromatic compounds (FAC) in their bile, the chemical composition of the inducing compounds, the significance of the exposure pathway, and any resulting injury, as a consequence of exposure to crude oil following a spill, are reviewed. Fish collected after oil spills often show increases in cytochrome P450 system activity, cytochrome P4501A (CYP1A) and bile fluorescent aromatic compounds (FAC), that are correlated with exposure to polycyclic aromatic hydrocarbons (PAH) in the oil. There is also some evidence for increases in bile FAC and induction of cytochrome P450 in marine birds and mammals after oil spills. However, when observed, increases in these exposure indicators are transitory and generally decrease to background levels within one year after the exposure. Laboratory studies have shown induction of cytochrome P450 systems occurs after exposure of fish to crude oil in water, sediment or food. Most of the PAH found in crude oil (dominantly 2- and 3-ring PAH) are not strong inducers of cytochrome P450. Exposure to the 4-ring chrysenes or the photooxidized products of the PAH may account for the cytochrome P450 responses in fish collected from oil-spill sites. The contribution of non-spill background PAH, particularly combustion-derived (pyrogenic) PAH, to bile FAC and cytochrome P450 system responses can be confounding and needs to be considered when evaluating oil spill effects. The ubiquity of pyrogenic PAH makes it important to fully characterize all sources of PAH, including PAH from natural resources, e.g. retene, in oil spill studies. In addition, such parameters as species, sex, age, ambient temperature and season need to be taken into account. While increases in fish bile FAC and cytochrome P450 system responses, can together, be sensitive general indicators of PAH exposure after an oil spill, there is little unequivocal evidence to suggest a linkage to higher order biological effects, e.g. toxicity, lesions, reproductive failure.

  5. Hydrocarbon saturation determination using acoustic velocities obtained through casing

    DOE Patents [OSTI]

    Moos, Daniel (Houston, TX)

    2010-03-09

    Compressional and shear velocities of earth formations are measured through casing. The determined compressional and shear velocities are used in a two component mixing model to provides improved quantitative values for the solid, the dry frame, and the pore compressibility. These are used in determination of hydrocarbon saturation.

  6. CX-012200: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  7. 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

  8. Categorical Exclusion Determinations: Connecticut | Department...

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

    January 27, 2016 CX-100460 Categorical Exclusion Determination Additive Manufacturing and the Environment: A Special Issue of the Journal of Industrial Ecology Award Number: ...

  9. Post-Closure Land Jurisdiction Transfer to the US Fish and Wildlife Service at Rocky Flats: Surviving the Safari Through Old Records and Other Lessons Learned

    SciTech Connect (OSTI)

    Schiesswohl, S.; Hanson, M.

    2008-07-01

    The U.S. Department of Energy's (DOE's) Rocky Flats Site (Rocky Flats), located near Denver, Colorado, was listed on the Comprehensive Environmental Response, Compensation, and Liability Act National Priorities List (NPL) in 1989. Subsequent cleanup and closure activities were completed in October 2005 and the final remedy was selected in September 2006. The remedy is 'no further action' for the generally un-impacted Peripheral Operable Unit (OU), formerly known as the Buffer Zone, and institutional and physical controls with continued monitoring for the Central OU, formerly the industrialized area. The Peripheral OU has been deleted from the NPL and jurisdiction over the majority of land in that OU (3,953 acres) was transferred to the U.S. Fish and Wildlife Service (USFWS) on July 12, 2007, to establish the Rocky Flats National Wildlife Refuge. The remaining approximately 929 acres in the Peripheral OU were retained by DOE's Office of Legacy Management where outstanding mineral leases and mining operations exist. As mineral rights are purchased or mining operations and mineral leases are completed and fully reclaimed, jurisdiction of portions of the 929 acres will also be transferred to USFWS for inclusion into the refuge. During the almost 2 years since cleanup and closure work was completed at Rocky Flats, DOE and USFWS have worked the specific legal parameters, timing, and constraints of the 3,953-acre transfer. Many lessons have been learned, based on these early experiences. (authors)

  10. Alaska North Slope Tundra Travel Model and Validation Study

    SciTech Connect (OSTI)

    Harry R. Bader; Jacynthe Guimond

    2006-03-01

    The Alaska Department of Natural Resources (DNR), Division of Mining, Land, and Water manages cross-country travel, typically associated with hydrocarbon exploration and development, on Alaska's arctic North Slope. This project is intended to provide natural resource managers with objective, quantitative data to assist decision making regarding opening of the tundra to cross-country travel. DNR designed standardized, controlled field trials, with baseline data, to investigate the relationships present between winter exploration vehicle treatments and the independent variables of ground hardness, snow depth, and snow slab thickness, as they relate to the dependent variables of active layer depth, soil moisture, and photosynthetically active radiation (a proxy for plant disturbance). Changes in the dependent variables were used as indicators of tundra disturbance. Two main tundra community types were studied: Coastal Plain (wet graminoid/moist sedge shrub) and Foothills (tussock). DNR constructed four models to address physical soil properties: two models for each main community type, one predicting change in depth of active layer and a second predicting change in soil moisture. DNR also investigated the limited potential management utility in using soil temperature, the amount of photosynthetically active radiation (PAR) absorbed by plants, and changes in microphotography as tools for the identification of disturbance in the field. DNR operated under the assumption that changes in the abiotic factors of active layer depth and soil moisture drive alteration in tundra vegetation structure and composition. Statistically significant differences in depth of active layer, soil moisture at a 15 cm depth, soil temperature at a 15 cm depth, and the absorption of photosynthetically active radiation were found among treatment cells and among treatment types. The models were unable to thoroughly investigate the interacting role between snow depth and disturbance due to a lack of variability in snow depth cover throughout the period of field experimentation. The amount of change in disturbance indicators was greater in the tundra communities of the Foothills than in those of the Coastal Plain. However the overall level of change in both community types was less than expected. In Coastal Plain communities, ground hardness and snow slab thickness were found to play an important role in change in active layer depth and soil moisture as a result of treatment. In the Foothills communities, snow cover had the most influence on active layer depth and soil moisture as a result of treatment. Once certain minimum thresholds for ground hardness, snow slab thickness, and snow depth were attained, it appeared that little or no additive effect was realized regarding increased resistance to disturbance in the tundra communities studied. DNR used the results of this modeling project to set a standard for maximum permissible disturbance of cross-country tundra travel, with the threshold set below the widely accepted standard of Low Disturbance levels (as determined by the U.S. Fish and Wildlife Service). DNR followed the modeling project with a validation study, which seemed to support the field trial conclusions and indicated that the standard set for maximum permissible disturbance exhibits a conservative bias in favor of environmental protection. Finally DNR established a quick and efficient tool for visual estimations of disturbance to determine when investment in field measurements is warranted. This Visual Assessment System (VAS) seemed to support the plot disturbance measurements taking during the modeling and validation phases of this project.

  11. Effects of Mitigative Measures on Productivity of White Sturgeon Populations in the Columbia River Downstream from McNary Dam: Determine Status and Habitat Requirements of White Sturgeon Populations in the Columbia and Snake Rivers Upstream from McNary Dam, 1997-1998 Annual Report.

    SciTech Connect (OSTI)

    Ward, David L.

    1999-02-01

    The authors report on their progress from April 1997 through March 1998 on determining the effects of mitigative measures on productivity of white sturgeon populations in the Columbia River downstream from McNary Dam, and on determining the status and habitat requirements of white sturgeon populations in the Columbia and Snake rivers upstream from McNary Dam. The study is a cooperative effort by the Oregon Department of Fish and Wildlife (ODFW; Report A), Washington Department of Fish and Wildlife (WDFW; Report B), U.S. Geological Survey Biological Resources Division (USGS; Report C), National Marine Fisheries Service (NMFS; Report D), U.S. Fish and Wildlife Service (USFWS; Report E), and Columbia River Inter-Tribal Fish Commission (CRITFC; Report F). This is a multi-year study with many objectives requiring more than one year to complete. Therefore, findings from a given year may be part of more significant findings yet to be reported. Highlights of results of the work from April 1997 through March 1998 listed.

  12. Determining Home Range and Preferred Habitat of Feral Horses on the Nevada National Security Site Using Geographic Information Systems

    SciTech Connect (OSTI)

    Burns, Ashley V.

    2014-05-30

    Feral horses (Equus caballus) are free-roaming descendants of domesticated horses and legally protected by the Wild and Free-Roaming Horses and Burros Act of 1971, which mandates how feral horses and burros should be managed and protected on federal lands. Using a geographic information system to determine the home range and suitable habitat of feral horses on the federally managed Nevada National Security Site can enable wildlife biologists in making best management practice recommendations. Home range was estimated at 88.1 square kilometers. Site suitability was calculated for elevation, forage, slope, water presence and horse observations. These variables were combined in successive iterations into one polygon. Suitability rankings established that 85 square kilometers are most suitable habitat, with 2,052 square kilometers of good habitat 1,252 square kilometers of fair habitat and 122 square kilometers of least suitable habitat.

  13. Midea: Amended Noncompliance Determination (2010-SE-0110, 2012-SE-1402)

    Broader source: Energy.gov [DOE]

    DOE issued an Amended Notice of Noncompliance Determination to Midea America Corp., Hefei Hualing Co., Ltd., and China Refrigeration Industry Co., Ltd. finding that basic model HD-146F, a refrigerator-freezer, and basic model HS-390C, a freezer, do not comport with the energy conservation standards.

  14. Westinghouse Lighting: Noncompliance Determination (2010-CE-09/1001)

    Office of Energy Efficiency and Renewable Energy (EERE)

    DOE issued a Notice of Noncompliance Determination to Westinghouse Lighting Corporation finding that model F40T12/CWE (Westinghouse product code 07521000), a general service fluorescent lamp, and model 15GLOBE/65/2 (Westinghouse product code 3800400), a medium base compact fluorescent lamp, do not comport with the energy conservation standards.

  15. Advanced Distributor Products: Noncompliance Determination (2010-SE-0304)

    Broader source: Energy.gov [DOE]

    DOE issued a Notice of Noncompliance Determination to Advanced Distributor Products finding that basic model N2H348A(G)KB* + H,GE50560 + *8MPV125 and basic model N2H360A(G)KB* + H,GE50560 + MV16J22**B* do not comport with the energy conservation standards.

  16. Method of determining glass durability

    DOE Patents [OSTI]

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

    1998-01-01

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

  17. Method of determining glass durability

    DOE Patents [OSTI]

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

    1998-12-08

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

  18. CX-000768: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining the Variability of Continuous Mercury Monitors at Low Mercury LevelsCX(s) Applied: B3.6Date: 02/07/2010Location(s): Grand Forks, North DakotaOffice(s): Fossil Energy, National Energy Technology Laboratory

  19. CX-100474 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Miscellaneous Refrigeration Products RIN 1904-AC66 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 02/18/2016 Location(s): Nationwide Office(s): Golden Field Office

  20. CX-010493: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining Distribution Coefficients by Surface-Enhanced Raman Spectroscopy (SERS) CX(s) Applied: B3.6 Date: 05/14/2013 Location(s): South Carolina Offices(s): Savannah River Operations Office

  1. CX-008905: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  2. CX-004264: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  3. CX-012121: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  4. CX-010776: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  5. Gender determination of avian embryo

    DOE Patents [OSTI]

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

    2002-01-01

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

  6. Estimated Cost Description Determination Date:

    Office of Environmental Management (EM)

    Revised and posted 2/10/2011 *Title, Location Estimated Cost Description Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain $50,000 FONSI: uncertain Determination Date: uncertain Transmittal to State: uncertain EA Approval: uncertain FONSI: uncertain Total Estimated Cost $70,000 Attachment: Memo, Moody to Marcinowski, III, SUBJECT: NEPA 2011 APS for DOE-SRS, Dated: Annual NEPA Planning Summary Environmental Assessments (EAs) Expected to be Initiated in the Next

  7. Systems Modeling

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

    ... Model Nambe Pueblo Water Budget Model Hydrogen Futures Simulations Model Barton Springs ... & Analysis Project Algae Biofuels Techno-Economic Modeling and Analysis Project Climate ...

  8. CX-012436: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    System Reliability Model for SSL Luminaires CX(s) Applied: B3.6Date: 41878 Location(s): AlabamaOffices(s): National Energy Technology Laboratory

  9. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication: Appendix B, Workshop Participants

    Energy Savers [EERE]

    B: Workshop Participants July 2013 Appendix B: Workshop Participants Evan Adams Biodiversity Research Institute Krisa Arzayus Marine Data Stewardship Division NOAA/NESDIS/NODC James Bail Offshore Aerial Imagery Company Dana Belden Office of Naval Research David Bigger Office of Renewable Energy Programs Bureau of Ocean Energy Management Mary Boatman Office of Renewable Energy Programs Bureau of Ocean Energy Management Jocelyn Brown-Saracino New West Technologies/Wind and Water Power Technologies

  10. Final Report of the Mid-Atlantic Marine Wildlife Surveys, Modeling, and Data: Workshop to Establish Coordination & Communication: Appendix E, Bibliography of References Provided by Participants

    Energy Savers [EERE]

    E: Bibliography of References Provided by Participants July 2013 Appendix E: Bibliography of References Provided by Participants Reports on Activities in the Mid-Atlantic New Jersey Department of Environmental Protection (prepared by Geo-Marine, Inc.). 2010. New Jersey Department of Environmental Protection Baseline Studies Final Report. http://www.nj.gov/dep/dsr/ocean-wind/report.htm. Northeast Fisheries Science Center. 2011. Preliminary summer 2010 regional abundance estimate of loggerhead

  11. PV modules modelling

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

    of the Environmental Sciences / Group of Energy / PVsyst Modeling Systems Losses in PVsyst André Mermoud Institute of the Environmental Sciences Group of energy - PVsyst andre.mermoud@unige.ch Institute of the Environmental Sciences / Group of Energy / PVsyst Summary Losses in a PV system simulation may be: - Determined by specific models (shadings) - Interpretations of models (PV module behaviour) - User's parameter specifications (soiling, wiring, etc). PVsyst provides a detailed analysis of

  12. Determining Supersymmetric Parameters With Dark Matter Experiments

    SciTech Connect (OSTI)

    Hooper, Dan; Taylor, Andrew M.; /Oxford U.

    2006-07-01

    In this article, we explore the ability of direct and indirect dark matter experiments to not only detect neutralino dark matter, but to constrain and measure the parameters of supersymmetry. In particular, we explore the relationship between the phenomenological quantities relevant to dark matter experiments, such as the neutralino annihilation and elastic scattering cross sections, and the underlying characteristics of the supersymmetric model, such as the values of {mu} (and the composition of the lightest neutralino), m{sub A} and tan {beta}. We explore a broad range of supersymmetric models and then focus on a smaller set of benchmark models. We find that by combining astrophysical observations with collider measurements, {mu} can often be constrained far more tightly than it can be from LHC data alone. In models in the A-funnel region of parameter space, we find that dark matter experiments can potentially determine m{sub A} to roughly {+-}100 GeV, even when heavy neutral MSSM Higgs bosons (A, H{sub 1}) cannot be observed at the LHC. The information provided by astrophysical experiments is often highly complementary to the information most easily ascertained at colliders.

  13. Determining risks for hazardous material operations

    SciTech Connect (OSTI)

    Cournoyer, M. E.; Dare, J. H.

    2002-01-01

    Integrated Safety Management (ISM) is structured to manage and control work at the activity level. Fundamental to ISM is that all work will be performed safely while meeting the applicable institutional-, facility-, and activity-level expectations. High and medium initial risk activities require certain levels of independent peer and/or Environmental, Health & Safety subject matter expert reviews prior to authorization. A key responsibility of line management and chemical workers is to assign initial risk adequately, so that the proper reviews are obtained. Thus, the effectiveness of an ISM system is largely dependent upon the adequacy and accuracy of this initial risk determination. In the following presentation, a Risk Determination Model (RDM) is presented for physical, health and ecological hazards associated with materials. Magnitude of exposure (Le., dose or concentration), frequency, duration, and quantity are the four factors most difficult to capture in a research and development setting. They are factored into the determination, as a function of the quantity of material. Quantity and magnitude of exposure components are simplified by using boundary criteria. This RDM will promote conformity and consistency in the assignment of risk to hazardous material activities. In conclusion, the risk assessors (line manager and chemical worker) should be capable of more accurately assessing the risk of exposure to a specific chemical with regard to the employee, public, and the environment.

  14. MEANS FOR DETERMINING CENTRIFUGE ALIGNMENT

    DOE Patents [OSTI]

    Smith, W.Q.

    1958-08-26

    An apparatus is presented for remotely determining the alignment of a centrifuge. The centrifage shaft is provided with a shoulder, upon which two followers ride, one for detecting radial movements, and one upon the shoulder face for determining the axial motion. The followers are attached to separate liquid filled bellows, and a tube connects each bellows to its respective indicating gage at a remote location. Vibrations produced by misalignment of the centrifuge shaft are transmitted to the bellows, and tbence through the tubing to the indicator gage. This apparatus is particularly useful for operation in a hot cell where the materials handled are dangerous to the operating personnel.

  15. CX-007438: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Routine Activities at the Casper, Wyoming, Calibration Model Facility CX(s) Applied: B1.3, B1.24 Date: 12/13/2011 Location(s): Wyoming Offices(s): Legacy Management

  16. CX-007439: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Routine Maintenance Activities at the George West, Texas, Calibration Model Facility CX(s) Applied: B1.3, B1.24 Date: 12/13/2011 Location(s): Texas Offices(s): Legacy Management

  17. CX-009296: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Computational and Modeling Research for the Electric Power System CX(s) Applied: A9 Date: 09/04/2012 Location(s): Tennessee Offices(s): National Energy Technology Laboratory

  18. CX-007442: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Routine Maintenance Activities at the Grand Junction, Colorado, Calibration Model Facility CX(s) Applied: B1.3, B1.24 Date: 12/13/2011 Location(s): Colorado Offices(s): Legacy Management

  19. CX-100143 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Community Solar Design Models for Consumer, Industry and Utility Success Award Number: DE-EE0006909 CX(s) Applied: A9, A11 Date: 12/12/2014 Location(s): DC Office(s): Golden Field Office

  20. CX-007539: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Investigating Marine Boundary Layer Parameterizations by Combining Observations with Models Via State Estimation CX(s) Applied: A9 Date: 01/18/2012 Location(s): Colorado Offices(s): Golden Field Office

  1. CX-007896: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Bottom Fixed Platform Dynamics Models Assessing Surface Ice Interactions for Transitional Depth Structures in the Great Lakes CX(s) Applied: A9 Date: 02/10/2012 Location(s): Michigan Offices(s): Golden Field Office

  2. CX-002308: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Model-Based Flotation SimulatorCX(s) Applied: A9Date: 05/17/2010Location(s): Blacksburg, VirginiaOffice(s): Fossil Energy, National Energy Technology Laboratory

  3. CX-003559: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Model-Based Flotation SimulatorCX(s) Applied: A9Date: 08/25/2010Location(s): Blacksburg, VirginiaOffice(s): Fossil Energy, National Energy Technology Laboratory

  4. CX-008331: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Validation of Material Models for Automotive Carbon-Fiber Composite Structures CX(s) Applied: B3.6 Date: 04/05/2012 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  5. CX-011811: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Extension and dissemination of the Open Modeling Framework and GridLAB-D CX(s) Applied: A1, A9, A11 Date: 01/22/2014 Location(s): Virginia Offices(s): National Energy Technology Laboratory

  6. CX-010179: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling and Experimental Studies of Controllable Cavity Turbulent Jet Ignition CX(s) Applied: B3.6 Date: 04/25/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  7. CX-010175: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Radiation Heat Transfer and Turbulent Fluctuations in Internal Combustion Engines – Toward Predictive Models CX(s) Applied: B3.6 Date: 04/26/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  8. CX-010180: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Universal Combustion Model to Predict Premixed and Non-Premixed Turbulent Flames in Compression CX(s) Applied: A9 Date: 04/25/2013 Location(s): Other Location Offices(s): National Energy Technology Laboratory

  9. CX-007580: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Bottom Fixed Platform Dynamics Models Assessing Surface Ice Interactions CX(s) Applied: A9 Date: 11/30/2011 Location(s): Washington Offices(s): Golden Field Office

  10. CX-012046: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Integrated Study Using Geology, Geophysics, Reservoir Models, and Rock Mechanics CX(s) Applied: A9, B3.6 Date: 04/02/2014 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  11. CX-012045: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Integrated Study Using Geology, Geophysics, Reservoir Models, and Rock Mechanics CX(s) Applied: A9, A11, B3.11 Date: 04/02/2014 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  12. CX-011106: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Model-Based Integrated High Penetration Renewables Planning and Control Analysis CX(s) Applied: A9, A11, B3.6 Date: 08/26/2013 Location(s): CX: none Offices(s): Golden Field Office

  13. CX-010698: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling and Validation of Sodium Plugging for Heat Exchangers in Sodium-cooled Fast Reactor Systems CX(s) Applied: B3.6 Date: 07/11/2013 Location(s): Illinois Offices(s): Idaho Operations Office

  14. CX-010809: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    New Mechanistic Models of Creep-Fatigue Interactions for Gas Turbine Components CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Indiana Offices(s): National Energy Technology Laboratory

  15. CX-010810: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    New Mechanistic Models of Creep-Fatigue Interactions for Gas Turbine Components CX(s) Applied: B3.6 Date: 08/07/2013 Location(s): Oregon Offices(s): National Energy Technology Laboratory

  16. CX-009279: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Verification of Capillary Pressure Functions and Relative Permeability Equations for Modeling Gas CX(s) Applied: A9 Date: 09/07/2012 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  17. CX-010176: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Radiation Heat Transfer and Turbulent Fluctuations in Internal Combustion Engines – Toward Predictive Models CX(s) Applied: A9, B3.6 Date: 04/26/2013 Location(s): California Offices(s): National Energy Technology Laboratory

  18. CX-012288: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Reduced-Order Model for Gas-Solid Flow Using Proper Orthogonal Decomposition CX(s) Applied: A9 Date: 06/05/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  19. CX-012287: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Reduced-Order Model for Gas-Solid Flow Using Proper Orthogonal Decomposition CX(s) Applied: A9 Date: 06/05/2014 Location(s): Florida Offices(s): National Energy Technology Laboratory

  20. CX-012271: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Quantitative Characterization of Impacts of Couple Geomechanics and Flow - Lab Experiments/Modeling CX(s) Applied: B3.6 Date: 06/25/2014 Location(s): California Offices(s): National Energy Technology Laboratory

  1. CX-012270: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Quantitative Characterization of Impacts of Couple Geomechanics and Flow - Lab Experiments/Modeling CX(s) Applied: B3.6 Date: 06/25/2014 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  2. CX-008334: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Validation of Material Models for Automotive Carbon-Fiber Composite Structures CX(s) Applied: A9 Date: 04/05/2012 Location(s): Michigan Offices(s): National Energy Technology Laboratory

  3. CX-011019: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Systematic Multiscale Modeling and Experimental Approach to Protect Grain Boundaries in Magnesium… CX(s) Applied: A9 Date: 09/11/2013 Location(s): Washington Offices(s): National Energy Technology Laboratory

  4. CX-011018: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Systematic Multiscale Modeling and Experimental Approach to Protect Grain Boundaries in Magnesium… CX(s) Applied: A9, B3.6 Date: 09/11/2013 Location(s): Mississippi Offices(s): National Energy Technology Laboratory

  5. CX-008353: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Autoclave (Model SSR-3A-ADVPB) Operation, Building 772-25B, Room 10 CX(s) Applied: B3.6 Date: 04/26/2012 Location(s): South Carolina Offices(s): Savannah River Operations Office

  6. CX-008912: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    An Advanced Joint Inversion System for Carbon Dioxide Storage Modeling with Large Data Sets for Characterization CX(s) Applied: A1, A9 Date: 08/29/2012 Location(s): California Offices(s): National Energy Technology Laboratory

  7. CX-008938: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    An Advanced Joint Inversion System for Carbon Dioxide Storage Modeling with Large Data Sets for Characterization CX(s) Applied: A1, A9 Date: 08/17/2012 Location(s): California Offices(s): National Energy Technology Laboratory

  8. CX-012505: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6Date: 41851 Location(s): TexasOffices(s): National Energy Technology Laboratory

  9. CX-010781: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.6 Date: 08/21/2013 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  10. CX-011797: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9 Date: 02/03/2014 Location(s): Pennsylvania Offices(s): National Energy Technology Laboratory

  11. CX-012507: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress (Project Extension) CX(s) Applied: A9, A11Date: 41851 Location(s): PennsylvaniaOffices(s): National Energy Technology Laboratory

  12. CX-010782: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9 Date: 08/21/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  13. CX-011559: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Safeguards in Pyroprocessing: an Integrated Model Development and Measurement Data Analysis CX(s) Applied: B3.6 Date: 11/20/2013 Location(s): Ohio Offices(s): Idaho Operations Office

  14. CX-008611: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Oneida Nation Energy Optimization Model Development Project CX(s) Applied: B3.6, B3.8 Date: 07/17/2012 Location(s): Wisconsin Offices(s): Golden Field Office

  15. CX-008646: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Metal Accumulation in Model Plants - Radioactive Studies CX(s) Applied: B3.6 Date: 05/22/2012 Location(s): South Carolina Offices(s): Savannah River Operations Office

  16. CX-005054: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Gas Hydrate Production Test (Phase III - Administrative/Planning/Modeling Tasks)CX(s) Applied: A2, A8, A9Date: 01/20/2011Location(s): Anchorage, AlaskaOffice(s): Fossil Energy, National Energy Technology Laboratory

  17. CX-006469: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    A Geomechanical Model for Gas Shales Based on the Integration of StressCX(s) Applied: A9, A11Date: 08/12/2011Location(s): University Park, PennsylvaniaOffice(s): Fossil Energy, National Energy Technology Laboratory

  18. CX-003549: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Request for Categorical Exclusion-A for Computer ModelingCX(s) Applied: A9Date: 08/25/2010Location(s): Bloomington, IndianaOffice(s): Fossil Energy, National Energy Technology Laboratory

  19. CX-008512: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydrate Growth Modeling in the Laboratory CX(s) Applied: A9, B3.6 Date: 07/13/2012 Location(s): Colorado Offices(s): National Energy Technology Laboratory

  20. CX-008513: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Hydrate Growth Modeling in the Laboratory CX(s) Applied: A9, A11, B3.6 Date: 07/13/2012 Location(s): Oklahoma Offices(s): National Energy Technology Laboratory

  1. CX-008441: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir (Task 17 - Office Work) CX(s) Applied: A9, A11 Date: 06/26/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  2. CX-008945: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Simplified Predictive Models for Carbon Dioxide Sequestration Performance Assessment CX(s) Applied: A9 Date: 08/15/2012 Location(s): Ohio, California Offices(s): National Energy Technology Laboratory

  3. CX-008440: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir (Task 17 - Seismic Survey) CX(s) Applied: B3.1 Date: 06/26/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  4. CX-010295: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of a Dynamic Wall Layer Model for LES of Internal Combustion Engines CX(s) Applied: A9, B3.6 Date: 05/03/2013 Location(s): California, Michigan Offices(s): National Energy Technology Laboratory

  5. CX-011119: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Physics-Based Reliability Models for Supercritical-Carbon Dioxide Turbomachinery Components CX(s) Applied: A9, B3.6 Date: 08/30/2013 Location(s): New York Offices(s): Golden Field Office

  6. CX-004111: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Experimental/Modeling Approaches to Studying the Fracture-Matrix Interaction in Barnett ShaleCX(s) Applied: A9Date: 09/30/2010Location(s): Ames, IowaOffice(s): Fossil Energy, National Energy Technology Laboratory

  7. CX-012273: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multiscale Modeling of Carbon Dioxide Migration and Trapping in Fractured Reservoirs with Validation CX(s) Applied: A1, A9 Date: 06/25/2014 Location(s): California Offices(s): National Energy Technology Laboratory

  8. CX-012272: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multiscale Modeling of Carbon Dioxide Migration and Trapping in Fractured Reservoirs with Validation CX(s) Applied: A1, A8, A9 Date: 06/25/2014 Location(s): New Jersey Offices(s): National Energy Technology Laboratory

  9. CX-012274: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Multiscale Modeling of Carbon Dioxide Migration and Trapping in Fractured Reservoirs with Validation CX(s) Applied: A1, A9 Date: 06/25/2014 Location(s): United Kingdom Offices(s): National Energy Technology Laboratory

  10. CX-012695: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Models for Nondestructive Evaluation of Aging Nuclear Power Plant Cables – Iowa State University CX(s) Applied: B3.6Date: 41864 Location(s): IowaOffices(s): Nuclear Energy

  11. CX-009313: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Advanced Methane Hydrate Reservoir Modeling Using Rock Physics Techniques CX(s) Applied: A1, A9 Date: 08/30/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory

  12. CX-012435: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    System Reliability Model for SSL Luminaires CX(s) Applied: B3.6, B4.4Date: 41878 Location(s): North CarolinaOffices(s): National Energy Technology Laboratory

  13. CX-010998: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improve Fuel Economy through Formulation Design and Modeling CX(s) Applied: B3.6, B3.11, B5.1 Date: 09/13/2013 Location(s): Ohio Offices(s): National Energy Technology Laboratory

  14. CX-010987: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improve Fuel Economy through Formulation Design and Modeling CX(s) Applied: B3.6, B5.1 Date: 09/13/2013 Location(s): Kentucky Offices(s): National Energy Technology Laboratory

  15. CX-010986: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improve Fuel Economy through Formulation Design and Modeling CX(s) Applied: B3.6, B5.1 Date: 09/13/2013 Location(s): Kentucky, Kentucky Offices(s): National Energy Technology Laboratory

  16. CX-100458 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Poroelastic Tomography by Adjoint Inverse Modeling of Data Award Number: DE-EE0006760 CX(s) Applied: B3.1 Geothermal Technologies Office Date: 01/28/2016 Location(s): WI Office(s): Golden Field Office

  17. CX-100495 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    POROELASTIC TOMOGRAPHY BY ADJOINT INVERSE MODELING OF DATA Award Number: DE-EE0006760 CX(s) Applied: A9 Geothermal Technologies Office Date: 09/11/2014 Location(s): WI Office(s): Golden Field Office

  18. CX-100267 Categorical Exclusion Determination | Department of...

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

    Exclusion Determination CX-100267 Categorical Exclusion Determination Next Generation Logistics Systems for Delivering Optimal Biomass Feedstocks to Biorefining Industries in...

  19. Adjudicative Guidelines for Determining Eligibility for Access...

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

    Adjudicative Guidelines for Determining Eligibility for Access to Classified Information Adjudicative Guidelines for Determining Eligibility for Access to Classified Information ...

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

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

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

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

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

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

  2. CX-100019: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  3. CX-011193: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Categorical Exclusion Determination for Indoor, Small- and Pilot-Scale Research and Development CX(s) Applied: A9, B1.7, B3.6, B3.10, B3.12, B3.15, B5.1, B5.15 Date: 08/05/2013 Location(s): California Offices(s): Berkeley Site Office

  4. CX-011104: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Coupled Thermo-Mechanical and Photo-Chemical Degradation Mechanisms that Determine the Reliability and Operational Lifetimes for Concentrated Photovoltaic Technologies CX(s) Applied: A9, B3.6 Date: 08/29/2013 Location(s): California Offices(s): Golden Field Office

  5. CX-000373: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  6. CX-100558 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Final Determination of Coverage for Portable Air Conditioners (1904-AD02) RIN 1904-AD02 CX(s) Applied: A6 EERE-Buildings Technology Program Date: 03/03/2016 Location(s): Nationwide Office(s): Golden Field Office

  7. CX-008738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

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

  8. CX-002602: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: A9, A11Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  9. CX-002600: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  10. CX-002599: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Berkeley, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  11. CX-002598: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Morris, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  12. CX-002601: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Determining Optimal Fuel Performance in Adapting Onsite Electrical Generation Platforms to Operate on Producer Gas from Fuels of OpportunityCX(s) Applied: B3.6Date: 12/11/2009Location(s): Fridley, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  13. CX-100312 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Withdrawal of Proposed Determination Regarding Energy Conservation Program: Natural Draft Commercial Boilers RIN: 1904-AD01 CX(s) Applied: A5 EERE- Buildings Technology Program Date: 07/20/2015 Location(s): Nationwide Office(s): Golden Field Office

  14. CX-011580: Categorical Exclusion Determination | Department of Energy

    Office of Environmental Management (EM)

    580: Categorical Exclusion Determination CX-011580: Categorical Exclusion Determination Model Validation Using Computational Fluid Dynamics (CFD)-Grade Experimental Database for Next Generation Nuclear Plant (NGNP) Reactor Cavity Cooling Systems with Water and Air CX(s) Applied: B3.6 Date: 11/13/2013 Location(s): Michigan Offices(s): Idaho Operations Office The University of Michigan proposes to investigate specific thermal-hydraulic issues, which will ensure that the Reactor Cavity Cooling

  15. CX-010754: Categorical Exclusion Determination | Department of Energy

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

    4: Categorical Exclusion Determination CX-010754: Categorical Exclusion Determination Industrial Scale Demonstration of Smart Manufacturing Achieving Transformational Energy Productivity Gains CX(s) Applied: A9, B2.2, B2.5 Date: 08/15/2013 Location(s): Texas Offices(s): Golden Field Office The University of Texas at Austin would use DOE and cost share funding to design and demonstrate a common platform that enables data, modeling, and simulation technologies for active, real-time decisions to

  16. Modeling and Testing of Unbalanced Loading and Voltage Regulation

    SciTech Connect (OSTI)

    Davis, M. W.; Broadwater, R.; Hambrick, J.

    2007-07-01

    This report covers work to (1) develop and validate distribution circuit models, (2) determine optimum distributed generator operating conditions, and (3) determine distributed generation penetration limits.

  17. Isopiestic Determination of the Osmotic and Activity Coefficients of

    Office of Scientific and Technical Information (OSTI)

    Li2SO4(aq) at T = 298.15 and 323.15 K, and Representation with an Extended Ion-interaction (Pitzer) model (Journal Article) | SciTech Connect Journal Article: Isopiestic Determination of the Osmotic and Activity Coefficients of Li2SO4(aq) at T = 298.15 and 323.15 K, and Representation with an Extended Ion-interaction (Pitzer) model Citation Details In-Document Search Title: Isopiestic Determination of the Osmotic and Activity Coefficients of Li2SO4(aq) at T = 298.15 and 323.15 K, and

  18. CX-012692: Categorical Exclusion Determination | Department of Energy

    Office of Environmental Management (EM)

    92: Categorical Exclusion Determination CX-012692: Categorical Exclusion Determination Sorption Modeling and Verification for Off-Gas Treatment-Syracuse University CX(s) Applied: B3.6 Date: 41864 Location(s): New York Offices(s): Nuclear Energy Syracuse University will perform R&D related to adsorption modeling for the separation and recovery of radioisotopic gases in the off-gas stream of nuclear fuel reprocessing. Document(s) Available for Download PDF icon CX-012692.pdf More Documents

  19. Multifamily Envelope Leakage Model

    SciTech Connect (OSTI)

    Faakye, O.; Griffiths, D.

    2015-05-01

    The objective of the 2013 research project was to develop the model for predicting fully guarded test results (FGT), using unguarded test data and specific building features of apartment units. The model developed has a coefficient of determination R2 value of 0.53 with a root mean square error (RMSE) of 0.13. Both statistical metrics indicate that the model is relatively strong. When tested against data that was not included in the development of the model, prediction accuracy was within 19%, which is reasonable given that seasonal differences in blower door measurements can vary by as much as 25%.

  20. Range determination for scannerless imaging

    DOE Patents [OSTI]

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

    2000-01-01

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

  1. RECORD OF CATEGORICAL EXCLUSION DETERMINATION

    Energy Savers [EERE]

    . Categorical Exclusion for erosion repair and cactus relocation along the existing Tucson-Apache 11S-kV transmission line in Pima County, Arizona RECORD OF CATEGORICAL EXCLUSION DETERMINATION A. Proposed Action: Western proposes to construct a new access road along the existing Tucson-Apache 11S-kV transmission line within the existing right-of-way and to repair erosion damage at transmission line structures. Access road construction will consist of stripping, clearing and removing vegetation

  2. Modeling of laser interactions with composite materials

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

    Rubenchik, Alexander M.; Boley, Charles D.

    2013-05-07

    In this study, we develop models of laser interactions with composite materials consisting of fibers embedded within a matrix. A ray-trace model is shown to determine the absorptivity, absorption depth, and optical power enhancement within the material, as well as the angular distribution of the reflected light. We also develop a macroscopic model, which provides physical insight and overall results. We show that the parameters in this model can be determined from the ray trace model.

  3. CX-000645: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal SystemsCX(s) Applied: A9, B3.6Date: 01/26/2010Location(s): Golden, ColoradoOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-001190: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    An Integrated Experimental and Numerical Study: Developing a Reaction Transport Model that Couples Chemical Reactions of Mineral Dissolution/Precipitation with Spatial and Temporal Flow Variations in Carbon Dioxide/Brine/Rock SystemsCX(s) Applied: A9, B3.6Date: 03/21/2010Location(s): Minneapolis, MinnesotaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  5. CX-000265: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Experiment-Based Model for the Chemical Interactions between Geothermal Rocks, Supercritical Carbon Dioxide and WaterCX(s) Applied: A9, B3.6Date: 12/23/2009Location(s): Santa Clara, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  6. CX-007901: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft, and In-Ocean Observations CX(s) Applied: A9, A11, B3.1, B3.2 Date: 02/22/2012 Location(s): New York Offices(s): Golden Field Office

  7. CX-002738: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Delivering Advanced Modeling and Simulation Capabilities to United States ManufacturersCX(s) Applied: A9, A11Date: 06/17/2010Location(s): Ann Arbor, MichiganOffice(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory

  8. CX-010976: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Thermal-Hydrological-Chemical-Mechanical (THCM) Coupled Model for Hydrate-Bearing Sediments: Data Analysis and Design of New Field Experiments CX(s) Applied: A9 Date: 09/16/2013 Location(s): Texas Offices(s): National Energy Technology Laboratory

  9. CX-010977: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Thermal-Hydrological-Chemical-Mechanical (THCM) Coupled Model for Hydrate-Bearing Sediments: Data Analysis and Design of New Field Experiments CX(s) Applied: A9 Date: 09/16/2013 Location(s): Georgia Offices(s): National Energy Technology Laboratory

  10. CX-100574 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Numerical Modeling and Experimental Validation of Extreme Conditions Response for the Centipod WEC Award Number: DE-EE0007344 CX(s) Applied: A9, B3.6 Water Power Technologies Office Date: 03/18/2016 Location(s): CA Office(s): Golden Field Office

  11. CX-004112: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Experimental/Modeling Approaches to Studying the Fracture-Matrix Interaction in Barnett ShaleCX(s) Applied: A9, B3.6Date: 09/30/2010Location(s): Arlington, TexasOffice(s): Fossil Energy, National Energy Technology Laboratory

  12. CX-012275: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Geomechanical Screening Tools to Identify Risk: An Experimental & Modeling Approach for... CX(s) Applied: A1, A9, B3.6 Date: 06/25/2014 Location(s): Texas Offices(s): National Energy Technology Laboratory

  13. CX-010918: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Fate of Methane Emitted from Dissociating Marine Hydrates: Modeling, Laboratory, and Field Constraints CX(s) Applied: A1, A9, B3.6 Date: 09/23/2013 Location(s): New Hampshire Offices(s): National Energy Technology Laboratory

  14. CX-010917: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Fate of Methane Emitted from Dissociating Marine Hydrates: Modeling, Laboratory, and Field Constraints CX(s) Applied: A1, A9, B3.6 Date: 09/25/2013 Location(s): Massachusetts Offices(s): National Energy Technology Laboratory

  15. CX-010916: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Fate of Methane Emitted from Dissociating Marine Hydrates: Modeling, Laboratory, and Field Constraints CX(s) Applied: A1, A9, B3.6 Date: 09/25/2013 Location(s): Massachusetts Offices(s): National Energy Technology Laboratory

  16. CX-006991: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Prototyping and Testing a New Volumetric Curvature Tool for Modeling Reservoir CompartmentsCX(s) Applied: A9, B3.1, B3.6Date: 09/22/2011Location(s): Turkville, Ellis County, KansasOffice(s): Fossil Energy, Savannah River Operations Office

  17. CX-009186: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    (0675-1570) Washington University in St. Louis - Optimal Operation and Management of Energy Storage Systems Based on Real-Time Predictive Modeling and Adaptive Battery Management Techniques CX(s) Applied: B3.6 Date: 09/07/2012 Location(s): Missouri, Colorado Offices(s): Advanced Research Projects Agency-Energy

  18. CX-000436: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Monitoring and Numerical Modeling of Shallow Carbon Dioxide InjectionCX(s) Applied: A9, A11, B3.1Date: 11/19/2009Location(s): Greene County, MissouriOffice(s): Fossil Energy, National Energy Technology Laboratory

  19. CX-009575: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Improving Atmospheric Models for Offshore Wind Resource Mapping and Prediction Using LIDAR, Aircraft and In-Ocean Observations CX(s) Applied: A9, B3.1, B3.2 Date: 12/12/2012 Location(s): New York Offices(s): Golden Field Office

  20. CX-009183: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    (0675 -1537) Utah State University - Robust Cell-Level Modeling and Control of Large Battery Packs CX(s) Applied: B3.6 Date: 09/11/2012 Location(s): Utah, Colorado, Colorado, Colorado Offices(s): Advanced Research Projects Agency-Energy

  1. CX-012702: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    An Investigation To Establish Multiphysical Property Dataset of Nuclear Materials Based on In-Situ Observations and Measurements, NEAMS: Nuclear Energy Advanced Modeling and Simulation – Purdue University CX(s) Applied: B3.6Date: 41862 Location(s): IndianaOffices(s): Nuclear Energy

  2. CX-012686: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    An Investigation To Establish Multiphysical Property Dataset of Nuclear Materials Based on In- Situ Observations and Measurements, NEAMS: Nuclear Energy Advanced Modeling and Simulation – Purdue University CX(s) Applied: B3.6Date: 41862 Location(s): IndianaOffices(s): Nuclear Energy

  3. CX-002373: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Validation of Coupled Models and Optimization of Materials for Offshore Wind StructuresCX(s) Applied: B3.1, A9Date: 05/13/2010Location(s): Gulf of Maine, MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  4. CX-002609: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate Regional Carbon Dioxide Sequestration Potential of Ozark Plateau Aquifer System, South-Central KansasCX(s) Applied: B3.1, A9Date: 12/11/2009Location(s): Wichita, KansasOffice(s): Fossil Energy, National Energy Technology Laboratory

  5. CX-000267: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    A New Analytic-Adaptive Model for Enhanced Geothermal System Assessment, Development and Management SupportCX(s) Applied: A9Date: 12/28/2009Location(s): Reno, NevadaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  6. CX-100505 Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Watt-sun: A Multi-scale, Multi-Model, Machine-Learning Solar Forecasting Technology Award Number: DE-EE0006017 CX(s) Applied: A9, B3.1 Solar Energy Technologies Office Date: 03/26/2014 Location(s): NY Office(s): Golden Field Office

  7. CX-010557: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    University of Illinois Urbana-Champaign- Cyber-Physical Modeling and Analysis for a Smart and Resilient Grid CX(s) Applied: B3.6 Date: 01/07/2013 Location(s): Illinois, Florida, Illinois Offices(s): Advanced Research Projects Agency-Energy

  8. CX-002154: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recovery Act: DeepCwind Consortium National Research Program: Validation of Coupled Models and Optimization of Materials for Offshore Wind StructuresCX(s) Applied: B3.1, B3.3, B3.6, A9Date: 01/21/2010Location(s): MaineOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  9. CX-012506: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    A Geomechanical Model for Gas Shales Based on Integration of Stress CX(s) Applied: A9, A11, B3.1, B3.11Date: 41851 Location(s): West VirginiaOffices(s): National Energy Technology Laboratory

  10. CX-000899: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    "Fish-Friendly" Hydropower Turbine Development and Deployment: Phase II Preliminary Engineering and Model TestingCX(s) Applied: A9, B3.6Date: 02/25/2010Location(s): CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  11. CX-000440: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Actualistic and Geomechanical Modeling of Reservoir Rock, Carbon Dioxide and Formation Flue Interaction, Citronelle Oil Field, AlabamaCX(s) Applied: A9, B3.1Date: 11/20/2009Location(s): Tuscaloosa, AlabamaOffice(s): Fossil Energy, National Energy Technology Laboratory

  12. CX-000439: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    Actualistic and Geomechanical Modeling of Reservoir Rock, Carbon Dioxide and Formation Flue Interaction, Citronelle Oil Field, AlabamaCX(s) Applied: A9, B3.1Date: 11/20/2009Location(s): Tuscaloosa, AlabamaOffice(s): Fossil Energy, National Energy Technology Laboratory

  13. CX-010596: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    An Experimental and Modeling Study of NOX-CO Formation in High Hydrogen Content (HHC) Fuels Combustion CX(s) Applied: B3.6 Date: 07/29/2013 Location(s): New Jersey Offices(s): National Energy Technology Laboratory

  14. CX-010595: Categorical Exclusion Determination

    Office of Energy Efficiency and Renewable Energy (EERE)

    An Experimental and Modeling Study of NOX-CO Formation in High Hydrogen Content (HHC) Fuels Combustion CX(s) Applied: B3.6 Date: 07/29/2013 Location(s): South Carolina Offices(s): National Energy Technology Laboratory

  15. CX-001423: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Application of a New Structural Model and Exploration Technologies to Define a Blind Geothermal System: An Alternative to Grid-Drilling for Geothermal Exploration, McCoy, Churchill County, NevadaCX(s) Applied: B3.1, A9Date: 03/29/2010Location(s): McCoy, NevadaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  16. CX-005201: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Tall Tower Wind Energy Monitoring and Numerical Model Validation in Southern NevadaCX(s) Applied: A9, B3.1Date: 02/14/2011Location(s): Searchlight, NevadaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  17. CX-008439: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir (Task 17 - Borehole) CX(s) Applied: A9, B1.13, B3.1, B3.7 Date: 06/26/2012 Location(s): Kansas Offices(s): National Energy Technology Laboratory

  18. CX-002612: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Modeling Carbon Dioxide Sequestration in Saline Aquifer and Depleted Oil Reservoir to Evaluate Regional Carbon Dioxide Sequestration Potential of Ozark Plateau Aquifer System, South-Central KansasCX(s) Applied: B3.1, A9Date: 12/11/2009Location(s): Lawrence, KansasOffice(s): Fossil Energy, National Energy Technology Laboratory

  19. CX-003343: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Recovery Act: Experiment-Based Model for the Chemical Interactions between Geothermal Rocks, Supercritical Carbon Dioxide and WaterCX(s) Applied: A9, B3.6Date: 08/05/2010Location(s): Palo Alto, CaliforniaOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office

  20. CX-000643: Categorical Exclusion Determination

    Broader source: Energy.gov [DOE]

    Development of Advanced Thermal-Hydrological-Mechanical-Chemical Modeling Capabilities for Enhanced Geothermal SystemsCX(s) Applied: A9, B3.6Date: 01/26/2010Location(s): Golden, ColoradoOffice(s): Energy Efficiency and Renewable Energy, Golden Field Office