WorldWideScience

Sample records for units benton county

  1. Propaganda, Censorship, and Civic Education in Rural Missouri Schools during World War I: The Benton County Experience.

    Science.gov (United States)

    Mitchell, William I.

    This study describes the patriotic public rituals, the propaganda materials, and the censorship activities that were part of the school experience in Missouri during World War I. It also examines the apparent responses of two rural Benton County communities to those rituals, materials and activities. Benton County is a rural area of central…

  2. Nest observations of the long-eared owl (Asio otus) in Benton County, Oregon, with notes on their food habits

    Science.gov (United States)

    Richard T. Reynolds

    1970-01-01

    A nesting pair of long-eared owls was found 10 miles north of Corvallis, Benton County, Oregon, on 24 April, 1969. The pair was observed and photographed until 30 May, when the young left the nest. This is the third record of nesting Asio otus west of the Oregon Cascades. Gabrielson and Jewett (1940) reported that Pope collected eggs from a nest...

  3. 76 FR 5194 - Tennessee National Wildlife Refuge, Henry, Benton, Decatur, and Humphreys Counties, TN; Final...

    Science.gov (United States)

    2011-01-28

    ... FURTHER INFORMATION CONTACT: Mr. Troy Littrell; telephone: 731/642- 2091; fax: 731/644-3351; e-mail: troy... (73 FR 17994). On December 28, 1945, President Harry S. Truman signed Executive Order No. 9670... Humphreys Counties, Tennessee. The refuge is comprised of three units: the Duck River Unit (26,738...

  4. Engineering geologic conditions at the sinkhole entrance to Logan Cave, Benton County, Arkansas

    Science.gov (United States)

    Schulz, William H.; McKenna, Jonathan P.

    2004-01-01

    Logan Cave, located in Benton County, Arkansas, is inhabited by several endangered and threatened species. The cave and surrounding area was designated a National Wildlife Refuge under the control of the U.S. Fish and Wildlife Service (USFWS) in 1989. Cave researchers access the cave through a steep-sided sinkhole entrance, which also is one of the two access points used by endangered bats. There is evidence of instability of one of the entrance slopes that has raised concerns that the entrance could close if slope failure was to occur. At the request of USFWS, we performed an engineering geologic investigation of the sinkhole to evaluate stability of this slope, which is comprised of soil, and other mechanisms of sediment transport into the cave entrance. The investigation included engineering geologic mapping, sampling and laboratory testing of subsurface geologic materials, and slope-stability analysis. We found that the sinkhole slope that extends into the entrance of the cave is comprised of sandy and gravelly soil to the depths explored (6.4 meters). This soil likely was deposited as alluvium within a previous, larger sinkhole. Based on properties of the alluvium, geometry of the slope, and results of finite-element slope-stability analyses, we conclude that the slope is marginally stable. Future failures of the slope probably would be relatively thin and small, thus several would be required to completely close the cave entrance. However, sediment is accumulating within the cave entrance due to foot traffic of those accessing the cave, surface-water erosion and transport, and shallow slope failures from the other sinkhole slopes. We conclude that the entrance will be closed by sediment in the future, similar to another entrance that we identified that completely closed in the past. Several measures could be taken to reduce the potential for closure of the cave entrance, including periodic sediment removal, installation of materials that reduce erosion by

  5. National Register Testing at 23BE1007, 23BE1008, and 23BE1010, Downstream from the Harry S. Truman Dam and Reservoir, Benton County, Missouri.

    Science.gov (United States)

    1988-01-01

    geologic section of alluvial terraces of the Pomme de Terre River ........... 9 Figure 5. Downstream Truman project area and Benton County in relation...portion of the Truman Reservoir that is within the Ozark Highland Region (Salem Plateau) is restricted to the vicinity of the Pomme de Terre River and...and Holocene alluvial terraces that have been mapped in detail in the Breshear’s Bottoms area of the Pomme de Terre River (Haynes 1976, 1977, 1981

  6. SURVEY, BENTON COUNTY, TENNESSEE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Survey data includes spatial datasets and data tables necessary to digitally represent data collected in the survey phase of the study. (Source: FEMA Guidelines and...

  7. Benton Lake National Wildlife Refuge : 1983 Water Management Report

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes water management on Benton Lake NWR during 1983. The effects of water levels on marsh units, water elevations, and a pumping report are...

  8. [Water rights and use on Benton Lake National Wildlife Refuge and Benton Lake Wetland Management District: 2004 water year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The tables and graphs provided in this Excel Workbook summarize water use, water balance, gauge readings, pumping data, and marsh unit elevations on Benton Lake NWR...

  9. [Water rights and use on Benton Lake National Wildlife Refuge and Benton Lake Wetland Management District: 2003 water year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The tables and graphs provided in this Excel Workbook summarize water use, water balance, gauge readings, pumping data, and marsh unit elevations on Benton Lake NWR...

  10. HYDRAULICS, BENTON COUNTY, TENNESSEE, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to...

  11. On the Road with Thomas Hart Benton: Images of a Changing America.

    Science.gov (United States)

    Johnson, Mark M.

    1999-01-01

    Summarizes the life and work of artist Thomas Hart Benton. Focuses on his paintings of the United States that capture the characteristics of regional life, customs, and nature before modern advancements and urbanization. Provides the itinerary for the 14- venue tour of 77 of Benton's works. (CMK)

  12. Management recommendations: Benton Lake Complex

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document is a review of land management practices at the Benton Lake Complex, by a land use specialist. Recommendations, time frame and additional comments are...

  13. A Survey of Attitudes, Values, Impressions and Feelings towards Extension Specialization and Programs in the Kaysinger Program Area (Bates, Benton, Cedar, Hickory, St. Clair and Vernon Counties.)

    Science.gov (United States)

    Thacker, R. D.

    To provide a bench mark or base-line study from which future measurements of the effectiveness of area programming and area staff specialization in Extension programs of the University of Missouri, a questionnaire was mailed to 913 people in six counties. The number of usable questionnaires returned was 516. The data from the questionnaire are…

  14. Hazard assessment of selenium contamination at Benton Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes a study done to assess selenium levels on Benton Lake NWR. Because selenium is not evenly distributed across wetland units, sampling in 2006...

  15. 1:100,000-scale Counties of the United States

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This is a coverage of the county boundaries of the conterminous United States (AK, HI and Puerto Rico are available separately). The lines were extracted from U.S....

  16. 1990 County Boundaries of the United States - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the 1990 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting...

  17. 2000 County Boundaries of the United States - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the 2000 State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting...

  18. DCS Terrain Submission for Benton County, AR

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Terrain data, as defined in FEMA Guidelines and Specifications, Appendix M: Data Capture Standards, describe the digital topographic data that were used to create...

  19. Floodplain Mapping for Benton County, TN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping/Redelineation study deliverables depict and quantify the flood risks for the study area. The primary risk classifications used are the...

  20. DCS Hydraulics Submission for Benton County, AR

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Recent developments in digital terrain and geospatial database management technology make it possible to protect this investment for existing and future projects to...

  1. BASEMAP, BENTON COUNTY AND INCORPOATED AREAS, TENNESSEE

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — FEMA Framework Basemap datasets comprise six of the seven FGDC themes of geospatial data that are used by most GIS applications (Note: the seventh framework theme,...

  2. Benton Lake National Wildlife Refuge : Trapping Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Benton Lake NWR trapping plan outlines trapping areas, species, regulations, equipment, and seasons. This plan will allow harvest of a renewable natural resource...

  3. Hydrology and water chemistry of the Benton Lake basin with emphasis on the fate of dissolved solids at Benton Lake National Wildlife Refuge, west-central Montana

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report is on a hydro geochemical study of the Benton Lake basin, in Benton Lake National Wildlife Refige. Toe hydrology and water chemistry of the Benton Lake...

  4. The Imposition and Effects of Restitution in Four Pennsylvania Counties: Effects of Size of County and Specialized Collection Units

    Science.gov (United States)

    Ruback, R. Barry; Shaffer, Jennifer N.; Logue, Melissa A.

    2004-01-01

    This study examined court records, probation records, and collection office records in four counties in Pennsylvania, which were chosen because they varied along two dimensions: (a) population size and (b) the use of specialized units for the collection of monetary sanctions. From each county, restitution-eligible cases were sampled from both 1994…

  5. Eight Americas: investigating mortality disparities across races, counties, and race-counties in the United States.

    Directory of Open Access Journals (Sweden)

    Christopher J L Murray

    2006-09-01

    Full Text Available BACKGROUND: The gap between the highest and lowest life expectancies for race-county combinations in the United States is over 35 y. We divided the race-county combinations of the US population into eight distinct groups, referred to as the "eight Americas," to explore the causes of the disparities that can inform specific public health intervention policies and programs. METHODS AND FINDINGS: The eight Americas were defined based on race, location of the county of residence, population density, race-specific county-level per capita income, and cumulative homicide rate. Data sources for population and mortality figures were the Bureau of the Census and the National Center for Health Statistics. We estimated life expectancy, the risk of mortality from specific diseases, health insurance, and health-care utilization for the eight Americas. The life expectancy gap between the 3.4 million high-risk urban black males and the 5.6 million Asian females was 20.7 y in 2001. Within the sexes, the life expectancy gap between the best-off and the worst-off groups was 15.4 y for males (Asians versus high-risk urban blacks and 12.8 y for females (Asians versus low-income southern rural blacks. Mortality disparities among the eight Americas were largest for young (15-44 y and middle-aged (45-59 y adults, especially for men. The disparities were caused primarily by a number of chronic diseases and injuries with well-established risk factors. Between 1982 and 2001, the ordering of life expectancy among the eight Americas and the absolute difference between the advantaged and disadvantaged groups remained largely unchanged. Self-reported health plan coverage was lowest for western Native Americans and low-income southern rural blacks. Crude self-reported health-care utilization, however, was slightly higher for the more disadvantaged populations. CONCLUSIONS: Disparities in mortality across the eight Americas, each consisting of millions or tens of millions of

  6. The reversal of fortunes: trends in county mortality and cross-county mortality disparities in the United States.

    Directory of Open Access Journals (Sweden)

    Majid Ezzati

    2008-04-01

    Full Text Available Counties are the smallest unit for which mortality data are routinely available, allowing consistent and comparable long-term analysis of trends in health disparities. Average life expectancy has steadily increased in the United States but there is limited information on long-term mortality trends in the US counties This study aimed to investigate trends in county mortality and cross-county mortality disparities, including the contributions of specific diseases to county level mortality trends.We used mortality statistics (from the National Center for Health Statistics [NCHS] and population (from the US Census to estimate sex-specific life expectancy for US counties for every year between 1961 and 1999. Data for analyses in subsequent years were not provided to us by the NCHS. We calculated different metrics of cross-county mortality disparity, and also grouped counties on the basis of whether their mortality changed favorably or unfavorably relative to the national average. We estimated the probability of death from specific diseases for counties with above- or below-average mortality performance. We simulated the effect of cross-county migration on each county's life expectancy using a time-based simulation model. Between 1961 and 1999, the standard deviation (SD of life expectancy across US counties was at its lowest in 1983, at 1.9 and 1.4 y for men and women, respectively. Cross-county life expectancy SD increased to 2.3 and 1.7 y in 1999. Between 1961 and 1983 no counties had a statistically significant increase in mortality; the major cause of mortality decline for both sexes was reduction in cardiovascular mortality. From 1983 to 1999, life expectancy declined significantly in 11 counties for men (by 1.3 y and in 180 counties for women (by 1.3 y; another 48 (men and 783 (women counties had nonsignificant life expectancy decline. Life expectancy decline in both sexes was caused by increased mortality from lung cancer, chronic obstructive

  7. 1:2,000,000-scale Counties of the United States

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage is of the county boundaries of the conterminous United States. It was derived from the Digital Line Graph (DLG) files representing the...

  8. USGS Small-scale Dataset - County Boundaries of the United States, 2001 200506 Shapefile

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the State and county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands. The map layer was created by extracting...

  9. 1:1,000,000-Scale County Boundary Lines of the United States - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands as linework. The map layer was derived from the...

  10. NCHS - Drug Poisoning Mortality by County: United States

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset describes drug poisoning deaths at the county level by selected demographic characteristics and includes age-adjusted death rates for drug poisoning...

  11. USGS Small-scale Dataset - 1:1,000,000-Scale County Boundaries of the United States 201403 Shapefile

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands, by showing the counties as areas. The map layer was...

  12. Benton Lake National Wildlife Refuge : Land Use Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Land Use Plan for Benton Lake NWR outlines policies for Refuge uses including: farming, grassland management, fur resource management, and seed harvesting. A...

  13. Benton Lake Refuge shelterbelt habitat suitability and bird use study

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Shelterbelts were planted on Benton Lake NWR initially in the 1960s, but have been maintained and expanded as recently as the 1990s. Since that time, many of the...

  14. Crested wheatgrass control and monitoring Benton Lake Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Crested wheatgrass (CWG) was planted on Benton Lake NWR at least 30 years ago, presumably to stabilize the soil where it had been disturbed in the process of...

  15. Herpetile survey report: USFWS – Benton Lake NWR

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A preliminary survey was conducted to investigate the species occurrence and relative abundance of herpetiles on Benton Lake NWR (BLNWR). A few species of concern...

  16. Benton Lake NWR Biological Inspection, June 20-21, 1996

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This memorandum is on the biological inspection and review at Benton Lake National Wildlife Refuge in Montana. It reviews the stations goals, objectives and plans...

  17. Arthur Benton and a bunch of Dutch flowers

    NARCIS (Netherlands)

    Bouma, Anke; Bakker, Dirk J.

    2009-01-01

    This paper shows how Arthur Benton's excellent research in the field of neuropsychological topics like hemispheric specialization, Gerstmann syndrome, aphasia, prosopagnosia and visuospatial deficits has influenced the development of the field of neuropsychology in The Netherlands. Also, his outstan

  18. Benton Lake National Wildlife Refuge : Fur Management Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Benton Lake NWR Fur Management Plan directs the management and regulation of trapping. The furbearer management program directly supports the environmental...

  19. Cultural Resources Review for Closure of the nonradioactive Dangerous Waste Landfill and Solid Waste Landfill in the 600 Area, Hanford Site, Benton County, Washington, HCRC# 2010-600-018R

    Energy Technology Data Exchange (ETDEWEB)

    Gutzeit, Jennifer L.; Kennedy, Ellen P.; Bjornstad, Bruce N.; Sackschewsky, Michael R.; Sharpe, James J.; DeMaris, Ranae; Venno, M.; Christensen, James R.

    2011-02-02

    The U.S. Department of Energy Richland Operations Office is proposing to close the Nonradioactive Dangerous Waste Landfill (NRDWL) and Solid Waste Landfill (SWL) located in the 600 Area of the Hanford Site. The closure of the NRDWL/SWL entails the construction of an evapotranspiration cover over the landfill. This cover would consist of a 3-foot (1-meter) engineered layer of fine-grained soil, modified with 15 percent by weight pea gravel to form an erosion-resistant topsoil that will sustain native vegetation. The area targeted for silt-loam borrow soil sits in Area C, located in the northern central portion of the Fitzner/Eberhardt Arid Lands Ecology (ALE) Reserve Unit. The pea gravel used for the mixture will be obtained from both off-site commercial sources and an active gravel pit (Pit #6) located just west of the 300 Area of the Hanford Site. Materials for the cover will be transported along Army Loop Road, which runs from Beloit Avenue (near the Rattlesnake Barricade) east-northeast to the NRDWL/SWL, ending at State Route 4. Upgrades to Army Loop Road are necessary to facilitate safe bidirectional hauling traffic. This report documents a cultural resources review of the proposed activity, conducted according to Section 106 of the National Historic Preservation Act of 1966.

  20. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Benton Lake Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  1. [Montana MOYOCO Invasive Species Strike Team Final Report 2012] Benton Lake Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  2. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Benton Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO MT Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  3. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Benton Lake Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  4. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Benton Lake Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  5. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Benton Lake Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  6. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Benton Lake Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  7. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Benton Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO MT Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered by...

  8. [Montana MOYOCO Invasive Species Strike Team Final Report 2012] Benton Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  9. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Benton Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  10. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Benton Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  11. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Benton Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  12. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, BENTON COUNTY, ARKANSAS

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  13. Digital Flood Insurance Rate Map for Benton County, IN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  14. OrthoImagery Submission for Benton County, MN

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The original countywide mosaic from the NAIP was converted to grayscale for mapping purposes with the original compression. This metadata contains the information...

  15. Estimated annual agricultural pesticide use for counties of the conterminous United States, 2008-12

    Science.gov (United States)

    Baker, Nancy T.; Stone, Wesley W.

    2015-01-01

    Annual county-level pesticide use was estimated for 423 herbicides, insecticides, and fungicides applied to agricultural crops grown in the conterminous United States during 2008–12. For all States except California, pesticide-use data were compiled from proprietary surveys of farm operations located within U.S. Department of Agriculture Crop Reporting Districts (CRDs). Surveyed pesticide-use data were used in conjunction with county annual harvested-crop acres reported by the U.S. Department of Agriculture 2007 and 2012 Censuses of Agriculture and the 2008–11 County Agricultural Production Survey to calculate use rates per harvested-crop acre, or an “estimated pesticide use” (EPest) rate, for each crop by year. County-use estimates were then calculated by multiplying EPest rates by harvested-crop acres for each pesticide crop combination. Use estimates for California were obtained from annual Department of Pesticide Regulation-Pesticide Use Reports.

  16. Fixed-bed gasification research using US coals. Volume 10. Gasification of Benton lignite

    Energy Technology Data Exchange (ETDEWEB)

    Thimsen, D.; Maurer, R.E.; Pooler, A.R.; Pui, D.; Liu, B.; Kittelson, D.

    1985-05-01

    A single-staged, fixed-bed Wellman-Galusha gasifier coupled with a hot, raw gas combustion system and scrubber has been used to gasify numerous coals from throughout the United States. The gasification test program is organized as a cooperative effort by private industrial participants and governmental agencies. The consortium of participants is organized under the Mining and Industrial Fuel Gas (MIFGa) Group. This report is the tenth volume in a series of reports describing the atmospheric pressure, fixed-bed gasification of US coals. This specific report describes the gasification of Benton lignite. The period of gasification test was November 1-8, 1983. 16 refs., 22 figs., 19 tabs.

  17. Inventory of power plants in the United States. [By state within standard Federal Regions, using county codes

    Energy Technology Data Exchange (ETDEWEB)

    None

    1977-12-01

    The purpose of this inventory of power plants is to provide a ready reference for planners whose focus is on the state, standard Federal region, and/or national level. Thus the inventory is compiled alphabetically by state within standard Federal regions. The units are listed alphabetically within electric utility systems which in turn are listed alphabetically within states. The locations are identified to county level according to the Federal Information Processing Standards Publication Counties and County Equivalents of the States of the United States. Data compiled include existing and projected electrical generation units, jointly owned units, and projected construction units.

  18. 28 CFR 55.9 - Coverage of political units within a county.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Coverage of political units within a county. 55.9 Section 55.9 Judicial Administration DEPARTMENT OF JUSTICE (CONTINUED) IMPLEMENTATION OF THE PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.9 Coverage...

  19. Prevalence of Doctor-Diagnosed Arthritis at State and County Levels - United States, 2014.

    Science.gov (United States)

    Barbour, Kamil E; Helmick, Charles G; Boring, Michael; Zhang, Xingyou; Lu, Hua; Holt, James B

    2016-05-20

    Doctor-diagnosed arthritis is a common chronic condition that affects approximately 52.5 million (22.7%) adults in the United States and is a leading cause of disability (1,2). The prevalence of doctor-diagnosed arthritis has been well documented at the national level (1), but little has been published at the state level and the county level, where interventions are carried out and can have their greatest effect. To estimate the prevalence of doctor-diagnosed arthritis among adults at the state and county levels, CDC analyzed data from the 2014 Behavioral Risk Factor Surveillance System (BRFSS). This report summarizes the results of that analysis, which found that, for all 50 states and the District of Columbia (DC) overall, the age-standardized median prevalence of doctor-diagnosed arthritis was 24% (range = 18.8%-35.5%). The age-standardized model-predicted prevalence of doctor-diagnosed arthritis varied substantially by county, with estimates ranging from 15.8% to 38.6%. The high prevalence of arthritis in all counties, and the high frequency of arthritis-attributable limitations (1) among adults with arthritis, suggests that states and counties might benefit from expanding underused, evidence-based interventions for arthritis that can reduce arthritis symptoms and improve self-management.

  20. Possible Late Quaternary faulting in the Benton Hills, southeastern Missouri

    Energy Technology Data Exchange (ETDEWEB)

    Palmer, J.R.; Hoffman, D. (Missouri Geological Survey Program, Rolla, MO (United States). Dept. of Natural Resources)

    1993-03-01

    Geologic mapping in the 1930's by Dan Stewart and Lyle McManamy identified numerous faults in the Thebes Gap area of the Benton Hills, including two post-late Quaternary faults (max. of 10 m displacement) along the southeastern escarpment. Recent geologic mapping (Richard Harrison, pers. comm.) suggests dextral strike-slip displacement on most of these faults; some deformation post-dates the Pliocene-Pleistocene Mounds gravel. Small historical earthquake epicenters have been recorded in the Benton Hills area. Review of these data and analysis of the geologic and structural relationships to small- and large-scale drainage and alluvial features suggest tectonic control of the southeastern escarpment of the Benton Hills. The authors propose the coincidence of geologic structures and landforms resembles tectonically active alluvial basin margins, with the Benton Hills southeastern margin representing a fault block uplift escarpment. Future seismic reflection, drilling and trenching studies are planned to determine if the escarpment is fault controlled and of recent origin.

  1. Wetlands & Deepwater Habitats, Department of Natural Resources Wetlands Maps, Published in 2005, 1:24000 (1in=2000ft) scale, Lafayette County Land Records.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Wetlands in a Lambert Conformal-conic projection; The extent of these data is generally Lafayette County, WI,Belmont, WI,Argyle, WI,Benton, WI,Blanchardville,...

  2. Shapefile for Coastal Zone Management Program counties of the United States and its territories, 2009 (CZMP_counties_2009.shp)

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S....

  3. Oral health status of children in Los Angeles County and in the United States, 1999-2004.

    Science.gov (United States)

    Dye, Bruce A; Vargas, Clemencia M; Fryar, Cheryl D; Ramos-Gomez, Francisco; Isman, Robert

    2017-04-01

    To ascertain and compare the oral health status and related sociodemographic risk indicators in children in Los Angeles (LA) County with children in the United States. Data from the National Health and Nutrition Examination Survey (NHANES) 1999-2004 were used to calculate prevalence estimates for children aged 2-13 years living in LA County and in the United States. Sociodemographic indicators were evaluated using multiple logistic regression modeling. Overall, children in LA County were more likely to experience dental caries than children in the United States in 1999-2004. In the primary dentition, nearly 40% of preschool children residing in LA County had dental caries compared to 28% of same-age children in the United States. Among children aged 6-13, 44% living in LA County had dental caries in the permanent dentition compared to 27% in the United States. Mexican American children in LA County had higher caries experience in permanent teeth (but not in primary teeth) than US Mexican American children. Among children aged 6-9 years, there was no difference in the prevalence of dental sealants in permanent teeth between those living in LA County and in the United States. However, among children aged 10-13 years, dental sealants were more than twice as prevalent in US children (40.8%) than in LA County children (17.5%). Among LA County children, the adjusted odds of having caries experience or untreated dental caries in permanent teeth were not higher among children from lower income families than in lower income children in the United States. Children residing in LA County had less favorable oral health than children in the United States in 1999-2004. The usual sociodemographic caries risk indicators identified among children in the United States were not consistently observed among children in LA County. Unlike in the wider United States, poverty was not a risk indicator for dental caries in older children in LA County. © 2016 John Wiley & Sons A/S. Published

  4. Estimates of livestock holdings in counties in the conterminous United States as reported in the 1987 Census of Agriculture

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains estimates of livestock holdings in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S. Department...

  5. County-Level Estimates of Nitrogen and Phosphorus from Animal Manure for the Conterminous United States, 2002

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set consists of county estimates of nitrogen and phosphorus in kilograms from animal manure in the conterminous United States for 2002. These estimates...

  6. Record of Decision for the Rocky Mountain Arsenal On-Post Operable Unit in southern Adams County, Commerce City, Colorado.

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Record of Decision (ROD) presents the selected remedial action for the Rocky Mountain Arsenal (RMA) On-Post Operable Unit in southern Adams County (east of...

  7. Estimates of agricultural expenses in counties in the conterminous United States as reported in the 1987 Census of Agriculture

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains estimates of agricultural expenses in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S....

  8. County-Level Estimates of Nitrogen and Phosphorus from Commercial Fertilizer for the Conterminous United States, 1987-2006

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set contains county-level estimates of nitrogen and phosphorus from fertilizer, for both farm and nonfarm uses, for the conterminous United States, for...

  9. USGS Small-scale Dataset - 1:1,000,000-Scale County Boundary Lines of the United States 201406 Shapefile

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands as linework. The map layer was derived from the...

  10. Method for Estimating Annual Atrazine Use for Counties in the Conterminous United States, 1992-2007

    Science.gov (United States)

    Thelin, Gail P.; Stone, Wesley W.

    2010-01-01

    A method was developed to estimate annual atrazine use during 1992 to 2007 on sixteen crops and four agricultural land uses. For each year, atrazine use was estimated for all counties in the conterminous United States (except California) by combining (1) proprietary data from the Doane Marketing Research-Kynetec (DMRK) AgroTrak database on the mass of atrazine applied to agricultural crops, (2) county harvested crop acreage, by county, from the 1992, 1997, 2002, and 2007 Censuses of Agriculture, and (3) annual harvested crop acreage from National Agriculture Statistics Service (NASS) for non-Census years. DMRK estimates of pesticide use on individual crops were derived from surveys of major field crops and selected specialty crops in multicounty areas referred to as Crop Reporting Districts (CRD). The CRD-level atrazine-use estimates were disaggregated to obtain county-level application rates by dividing the mass (pounds) of pesticides applied to a crop by the acreage of that crop in the CRD to yield a rate per harvested acre. When atrazine-use estimates were not available for a CRD, crop, or year, an estimated rate was developed following a hierarchy of decision rules that checked first for the availability of a crop application rate from surveyed atrazine application rate(s) for adjacent CRDs for a specific year, and second, the rates from surveyed CRDs within for U.S. Department of Agriculture Farm Production Regions for a specific year or multiple years. The estimation method applied linear interpolation to estimate crop acreage for years when harvested acres for a crop and county were not reported in either the Census of Agriculture or the NASS database, but were reported by these data sources for other years for that crop and county. Data for atrazine use for the counties in California was obtained from farmers' reports of pesticide use collected and published by the California Department of Pesticide Regulation-Pesticide Use Reporting (DPR-PUR) because these

  11. A digital model for planning water management at Benton Lake National Wildlife Refuge, west-central Montana

    Science.gov (United States)

    Nimick, David A.; McCarthy, Peter M.; Fields, Vanessa

    2011-01-01

    Benton Lake National Wildlife Refuge is an important area for waterfowl production and migratory stopover in west-central Montana. Eight wetland units covering about 5,600 acres are the essential features of the refuge. Water availability for the wetland units can be uncertain owing to the large natural variations in precipitation and runoff and the high cost of pumping supplemental water. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, has developed a digital model for planning water management. The model can simulate strategies for water transfers among the eight wetland units and account for variability in runoff and pumped water. This report describes this digital model, which uses a water-accounting spreadsheet to track inputs and outputs to each of the wetland units of Benton Lake National Wildlife Refuge. Inputs to the model include (1) monthly values for precipitation, pumped water, runoff, and evaporation; (2) water-level/capacity data for each wetland unit; and (3) the pan-evaporation coefficient. Outputs include monthly water volume and flooded surface area for each unit for as many as 5 consecutive years. The digital model was calibrated by comparing simulated and historical measured water volumes for specific test years.

  12. Geoecology: a county-level environmental data base for the conterminous United States

    Energy Technology Data Exchange (ETDEWEB)

    Olson, R.J.; Emerson, C.J.; Nungesser, M.K.

    1980-09-01

    The Geoecology Data Base represents a unique compilation of computerized environmental data for research and development needs. Environmental assessment and planning for energy development require rapid access to data at appropriate spatial and temporal scales. In the Environmental Sciences Division (ESD) at Oak Ridge National Laboratory (ORNL), we have developed an integrated data base of diverse environmental resource information from extant sources. Data are stored at the county level of resolution for the conterminous United States with some data available for subcounty units within larger, more diverse eastern counties. The Geoecology Data Base contains selected data on terrain and soils, water resources, forestry, vegetation, agriculture, land use, wildlife, air quality, climate, natural areas, and endangered species. Basic files on human population are also included to complement the environmental files. Data are stored in metric-SI units. The Geoecology Data Base is currently fulfilling diverse ongoing research needs while it is being expanded and updated as needs and new data are identified. This report is both a documentation and a user's guide to the Geoecology Data Base. It describes the Data Base design, illustrates applications, provides examples of accessing the Data Base, and gives general information on the data set contents.

  13. Sensory, cognitive, and linguistic factors in the early academic performance of elementary school children: The Benton-IU project.

    Science.gov (United States)

    Watson, Charles S; Kidd, Gary R; Homer, Douglas G; Connell, Phil J; Lowther, Andrya; Eddins, David A; Krueger, Glenn; Goss, David A; Rainey, Bill B; Gospel, Mary D; Watson, Betty U

    2003-01-01

    Standardized sensory, perceptual, linguistic, intellectual, and cognitive tests were administered to 470 children, approximately 96% of the students entering the first grade in the four elementary schools of Benton County, Indiana, over a 3-year period (1995--1997). The results of 36 tests and subtests administered to entering first graders were well described by a 4-factor solution. These factors and the tests that loaded most heavily on them were reading-related skills (phonological awareness, letter and word identification); visual cognition (visual perceptual abilities, spatial perception, visual memory); verbal cognition (language development, vocabulary, verbal concepts); and speech processing (the ability to understand speech under difficult listening conditions). A cluster analysis identified 9 groups of children, each with a different profile of scores on the 4 factors. Within these groups, the proportion of students with unsatisfactory reading achievement in the first 2 years of elementary school (as reflected in teacher-assigned grades) varied from 3% to 40%. The profiles of factor scores demonstrated the primary influence of the reading-related skills factor on reading achievement and also on other areas of academic performance. The second strongest predictor of reading and mathematics grades was the visual cognition factor, followed by the verbal cognition factor. The speech processing factor was the weakest predictor of academic achievement, accounting for less than 1% of the variance in reading achievement. This project was a collaborative effort of the Benton Community School Corporation and a multidisciplinary group of investigators from Indiana University.

  14. 75 FR 13253 - Plan Revision for Lake Tahoe Basin Management Unit, Alpine, El Dorado, and Placer Counties, CA...

    Science.gov (United States)

    2010-03-19

    ... management plan (forest plan) and will also prepare an environmental impact statement (EIS) for this revised... Be Made The Lake Tahoe Basin Management Unit is preparing an EIS to revise the current forest plan... Forest Service Plan Revision for Lake Tahoe Basin Management Unit, Alpine, El Dorado, and Placer Counties...

  15. Finding of No Significant Impact & Tiered Environmental Assessment: Public Law 84-99 Rehabilitation Program Levee Unit R-627 - Grace Street Ditch, Douglas County, Nebraska

    Science.gov (United States)

    2014-12-01

    99 REHABILITATION PROGRAM Levee Unit R-627 – Grace Street Ditch Douglas County, Nebraska December 2014 PROJECT...Environmental Assessment: Public Law 84-99 Rehabilitation Program Levee Unit R-627 ??? Grace Street Ditch Douglas County, Nebraska 5a. CONTRACT NUMBER 5b...UNIT R-627 – GRACE STREET DITCH BANK EROSION REPAIR PROJECT OMAHA, DOUGLAS COUNTY, NEBRASKA December 2014 In accordance with the National

  16. Non-game monitoring at Benton Lake National Wildlife Refuge and Benton Lake Wetland Management District: 1994-1998 point count census summary

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Point Count Censuses were conducted in the short-grass prairie at Benton Lake National Wildlife Refuge each year for five years between 1994-1998. Point Counts were...

  17. Engineering report on the Grayburg Cooperative and unit area, Eddy County, New Mexico

    Science.gov (United States)

    Barnett, John A.; Soyster, Merwin H.

    1945-01-01

    This report covers the area committed to the Grayburg Cooperative and Unit Agreement (I-Sec. 370) approved by the Assistant Secretary of the Interior on October 5, 1943, hereafter referred to as the "unit area", embracing 4,769.44 acres of public land in T. 17 S., Rs. 29 and 30 E., Eddy County, New Mexico. The area includes portions of the Anderson, Grayburg-Jackson, and Leonard oil fields as defined for proration purposes by the New Mexico Oil Conservation Commission. The unit area is covered by Federal oil and gas leases owned by the Grayburg Oil Company of New Mexico and the Western Production Company, Inc. The Grayburg Unit Association has been formed and designated to conduct and manage all operations in the unit area. As of December 31, 1943, there were forty-six producing oil wells within the unit area. The report has been prepared for the purpose of assisting the Grayburg Unit Association in determining the proper locations of gas-injection wells and the best methods for future operation of the pressure-maintenance system that is being installed for the purpose of retarding the reservoir pressure decline and increasing the ultimate recovery of oil from the Grayburg Zone defined in the above-mentioned agreement as formations not more than 3300 feet below the surface. Data used in the report were obtained from records on file in the Geological Survey office at Roswell, New Mexico, and from the records of the Western Production Company and the Grayburg Oil Company. All data were carefully checked as to accuracy with engineers and field representatives of both companies.

  18. Factor structure of the Benton Visual retention tests: dimensionalization of the Benton Visual retention test, Benton Visual retention test - multiple choice, and the Visual Form Discrimination Test.

    Science.gov (United States)

    Lockwood, Courtney A; Mansoor, Yael; Homer-Smith, Elizabeth; Moses, James A

    2011-01-01

    Six sequential experiments were conducted on archival data of 610 U.S. Veterans seen at the Palo Alto Veteran's Affairs Hospital, to understand the dimensionalization of the Benton Visual retention test in both the recall (BVRT) and multiple-choice (BVRT-MC) format as well as the Visual Form Discrimination Test (VFDT). These tests were dimensionalized by the Wechsler Adult Intelligence Scale-Revised (WAIS-R) revealing a four-component model that explains 81.04% of the shared variance: the moderately difficult items (BVRT-MC and VFDT items 13-16) loaded with the WAIS-R Perceptual Organization, the easiest items (VFDT items 1-12, BVRT-MC items 1-12, and BVRT items 1-4) loaded separately with both WAIS-R Verbal Comprehension and Freedom from Distractibility, and the most difficult items (BVRT items 3-10) loaded weakly with WAIS-R Perceptual Organization.

  19. Estimation of annual agricultural pesticide use for counties of the conterminous United States, 1992-2009

    Science.gov (United States)

    Thelin, Gail P.; Stone, Wesley W.

    2013-01-01

    A method was developed to calculate annual county level pesticide use for selected herbicides, insecticides, and fungicides applied to agricultural crops grown in the conterminous United States from 1992 through 2009. Pesticide-use data compiled by proprietary surveys of farm operations located within Crop Reporting Districts were used in conjunction with annual harvested-crop acreage reported by the U.S. Department of Agriculture National Agricultural Statistics Service (NASS) to calculate use rates per harvested crop acre, or an 'estimated pesticide use' (EPest) rate, for each crop by year. Pesticide-use data were not available for all Crop Reporting Districts and years. When data were unavailable for a Crop Reporting District in a particular year, EPest extrapolated rates were calculated from adjoining or nearby Crop Reporting Districts to ensure that pesticide use was estimated for all counties that reported harvested-crop acreage. EPest rates were applied to county harvested-crop acreage differently to obtain EPest-low and EPest-high estimates of pesticide-use for counties and states, with the exception of use estimates for California, which were taken from annual Department of Pesticide Regulation Pesticide Use Reports. Annual EPest-low and EPest-high use totals were compared with other published pesticide-use reports for selected pesticides, crops, and years. EPest-low and EPest-high national totals for five of seven herbicides were in close agreement with U.S. Environmental Protection Agency and National Pesticide Use Data estimates, but greater than most NASS national totals. A second set of analyses compared EPest and NASS annual state totals and state-by-crop totals for selected crops. Overall, EPest and NASS use totals were not significantly different for the majority of crop-stateyear combinations evaluated. Furthermore, comparisons of EPest and NASS use estimates for most pesticides had rank correlation coefficients greater than 0.75 and median

  20. TIGER/Line Shapefile, 2013, county, Benton County, IN, Current Address Ranges Relationship File

    Data.gov (United States)

    US Census Bureau, Department of Commerce — The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master...

  1. Distribution of Industrial Farms in the United States and Socioeconomic, Health, and Environmental Characteristics of Counties

    Directory of Open Access Journals (Sweden)

    S. M. Rafael Harun

    2013-01-01

    Full Text Available The method of producing food animals has changed in the United States over the past century, moving from traditional burns to enclosed structures resembling industrial buildings, where animals are raised in high stocking density (commonly known as “Concentrated Animal Feeding Operations,” CAFOs. The objective to maximize profit has resulted in poor farm management; raised issues of environmental pollution, public health, animal rights, and environmental justice, and had socio-economic impacts. Studies concerning the issues are limited to specific regions and types of CAFOs. In addition, studies on the spatial distribution and temporal changes of CAFO at a country scale are lacking. This study bridges some of the gaps by analyzing the spatial distribution of industrial farms in the United States in 2002 and 2007 and their relationship with vulnerable population and exploring the relationships among the concentrations of farms, socio-economic, health, and environmental characteristics of the counties. A range of spatial statistics tools were applied in this study. The study revealed variations in spatial distribution depending on the type of the CAFOs. The issue of environmental justice was found prevalent depending on the types of industrial farms. Each type of industrial farm was found to interact uniquely with the selected demographic, health, and environmental parameters.

  2. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1984

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1984 calendar year. The report begins with a summary...

  3. Quarterly Narrative Reports : Pishkun, Willow Creek, Benton Lake [National Wildlife Refuge] : February to April 1942

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Benton Lake, and Pishkun National Wildlife Refuge outlines Refuge accomplishments from February to April of 1942. The report...

  4. Quarterly Narrative Reports : Pishkun, Willow Creek, Benton Lake [National Wildlife Refuge] : August to October 1941

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for WIllow Creek, Benton Lake, and Pishkun National Wildlife Refuge outlines Refuge accomplishments from August to October of 1941. The report...

  5. Quarterly Narrative Reports : Pishkun, Willow Creek, Benton Lake [National Wildlife Refuge] : February to April 1940

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Benton Lake, and Pishkun National Wildlife Refuge outlines Refuge accomplishments from February to April of 1940. The report...

  6. Quarterly Grain Report : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1945

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This grain report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge discusses all grain received, disposed of during the quarterly period of January to...

  7. Quarterly Grain Report : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1944

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This grain report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge discusses all grain received, disposed of during the quarterly period of May to...

  8. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1955

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1955. The...

  9. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1950. The...

  10. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Pishkun, Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August 1950. The report begins by...

  11. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1952

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from May through August of 1952. The report...

  12. Quarterly Narrative Reports : Pishkun, Willow Creek, Benton Lake [National Wildlife Refuge] : August to October 1940

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for WIllow Creek, Benton Lake, and Pishkun National Wildlife Refuge outlines Refuge accomplishments from August to October of 1940. The report...

  13. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1953

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from May to August of 1953. The report begins...

  14. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1947

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Pishkun, Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August 1947. The report begins by...

  15. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1947

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1947. The...

  16. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1960

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1960. The...

  17. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1943

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Pishkun, Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December 1943. The report...

  18. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1959

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1959. The...

  19. Benton Lake, Willow Creek, Pishkun National Wildlife Refuges : Narrative Report : January to December 1966

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake, Willow Creek, Pishkun outlines Refuge accomplishments during the 1966 calendar year. The report begins by summarizing...

  20. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1954

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Pishkun, Willow Creek, and Benton Lake National Wildlife Refuges outlines Refuge accomplishments from January through April of 1954. The...

  1. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1956

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1956. The...

  2. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1955

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from May through August of 1955. The report...

  3. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1948

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Pishkun, Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August 1948. The report begins by...

  4. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1955

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Pishkun, Willow Creek, and Benton Lake National Wildlife Refuges outlines Refuge accomplishments from January through April of 1955. The...

  5. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1957

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1957. The...

  6. Quarterly Narrative Reports : Pishkun, Willow Creek, Benton Lake [National Wildlife Refuge] : May to July 1941

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Benton Lake, and Pishkun National Wildlife Refuge outlines Refuge accomplishments from May to July 1941. The report begins by...

  7. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1947

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Pishkun, Willow Creek, and Benton Lake National Wildlife Refuges outlines Refuge accomplishments from January through April of 1947. The...

  8. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1948

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Pishkun, Willow Creek, and Benton Lake National Wildlife Refuges outlines Refuge accomplishments from January through April of 1948. The...

  9. Update to hazard assessment of selenium contamination at Benton Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes a study done to assess selenium levels on Benton Lake NWR. Water was sampled for dissolved selenium in Lake Creek at the point where it enters...

  10. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1992

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1992 calendar year. The report begins with a summary...

  11. Operational Plan and Environmental Assessment for Striped Skunk and Raccoon Management : Benton Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The action proposed in this plan is to trap and remove striped skunk and raccoon at Benton Lake National Wildlife Refuge. The purpose of the action is to manage, not...

  12. Calming troubled waters: Contaminants at Benton Lake National Wildlife Refuge: A plan of action

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — At Benton Lake National Wildlife Refuge, contaminants mean not only the trace elements proven harmful to biotic systems at certain concentrations, but the question...

  13. Benton Lake, Willow Creek, Pishkun National Wildlife Refuges : Narrative Report : January to December 1967

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake, Willow Creek, Pishkun outlines Refuge accomplishments during the 1967 calendar year. The report begins by summarizing...

  14. Annual Report 1937 : Ninepipe, Pablo, Pishkun, Willow Creek and Benton Lake [National Wildlife] Refuges of Montana

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for fiscal year 1937 covers Refuge activities on Ninepipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuges....

  15. Annual Report 1938 : Ninepipe, Pablo, Pishkun, Willow Creek and Benton Lake [National Wildlife] Refuges of Montana

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for fiscal year 1938 covers Refuge activities on Ninepipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuges....

  16. Annual Report 1939 : Ninepipe, Pablo, Pishkun, Willow Creek and Benton Lake [National Wildlife] Refuges of Montana

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for fiscal year 1939 covers Refuge activities on Ninepipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuges....

  17. An Evaluation of Ecosystem Restoration Options for Benton Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Evaluation of Ecosystem Restoration and Management Options covers the hydrogeomorphic analysis (HGM) for Benton Lake National Wildlife Refuge. This three step...

  18. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1982

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1982 calendar year. The report begins with a summary...

  19. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1998

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1998 calendar year. The report begins with a...

  20. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1988

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1988 calendar year. The report begins with a...

  1. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1999

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1999 calendar year. The report begins with a...

  2. Final report on biogeochemical cycling of selenium in Benton Lake, Montana

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The biogeochemical cycling of selenium in Benton Lake National Wildlife Refuge, west-central Montana was very complicated. Selenium accumulation in sediment was a...

  3. Benton Lake, Willow Creek, Pishkun National Wildlife Refuges : Narrative Report : January to December 1965

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake, Willow Creek, Pishkun outlines Refuge accomplishments during the 1965 calendar year. The report begins by summarizing...

  4. White-faced Ibis nest monitoring at Benton Lake National Wildlife Refuge, Montana : 1997 progress report

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes a White-faced Ibis study that was conducted on Benton Lake NWR during 1997. The objectives were to locate and monitor a sample of nests and...

  5. [Montana MOYOCO Invasive Species Strike Team Final Report 2012] Bowdoin Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  6. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Bowdoin Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  7. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Bowdoin Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  8. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1989

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1989 calendar year. The report begins with a summary...

  9. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : May to August 1956

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from May to August of 1956. The report begins...

  10. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1978

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1978 calendar year. The report begins with an introduction...

  11. Benton Lake National Wildlife Refuge annual narrative report: Calendar year 1990

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1990 calendar year. The report begins with a summary...

  12. Contaminant biomonitoring at the Benton Lake National Wildlife Refuge in 1988

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Trace element concentrations in sediment samples from Benton Lake National Wildlife Refuge were not elevated relative to the western U.S. geometric mean...

  13. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1981

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1981 calendar year. The report begins with a summary...

  14. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1996

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1996 calendar year. The report begins with a summary...

  15. 2011 update to crested wheatgrass control and monitoring Benton Lake Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Crested wheatgrass (CWG) was planted on Benton Lake NWR at least 30 years ago, presumably to stabilize the soil where it had been disturbed in the process of...

  16. 2009 update to crested wheatgrass control and monitoring Benton Lake Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Crested wheatgrass (CWG) was planted on Benton Lake NWR at least 30 years ago, presumably to stabilize the soil where it had been disturbed in the process of...

  17. 2010 update to crested wheatgrass control and monitoring Benton Lake Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Crested wheatgrass (CWG) was planted on Benton Lake NWR at least 30 years ago, presumably to stabilize the soil where it had been disturbed in the process of...

  18. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Bowdoin National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  19. Benton Lake National Wildlife Refuge and Wetland Management District : Annual narrative report : Calendar year 2000

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 2000 calendar year. The report begins with a summary...

  20. Benton Lake National Wildlife Refuge : Planning and Accomplishment Narrative : Fiscal Year 1974

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1974 fiscal year. The report begins by summarizing...

  1. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Bowdoin National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  2. Tri Annual Narrative Reports : Benton, Pishkun, Willow Creek Lake National Wildlife Refuge : May to August 1963

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Pishkun, Willow Creek National Wildlife Refuge outlines Refuge accomplishments from May to August of 1963. The report begins...

  3. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1983

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1983 calendar year. The report begins with a summary...

  4. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1979

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1979 calendar year. The report begins with an introduction...

  5. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1980

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1980 calendar year. The report begins with an introduction...

  6. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Bowdoin National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  7. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Pablo National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  8. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Bowdoin National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  9. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Bowdoin Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  10. [Montana MOYOCO Invasive Species Strike Team Final Report 2012] Pablo National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  11. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Bowdoin National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  12. Benton Lake, Willow Creek, Pishkun National Wildlife Refuges : Narrative Report : January to December 1968

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake, Willow Creek, Pishkun outlines Refuge accomplishments during the 1968 calendar year. The report begins by summarizing...

  13. Water Management Report : Benton Lake National Wildlife Refuge : Calendar year 1975

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes water management on Benton Lake NWR during 1975. Part I of the report covers water quantity, water quality, marsh vegetation, and flood...

  14. Water Management Report : Benton Lake National Wildlife Refuge : Calendar year 1976

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes water management on Benton Lake NWR during 1976. Water quantity, water quality, marsh vegetation, and pool topography are discussed.

  15. Benton Lake, Willow Creek, Pishkun National Wildlife Refuges : Narrative Report : January to December 1964

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake, Willow Creek, Pishkun outlines Refuge accomplishments during the 1964 calendar year. The report begins by summarizing...

  16. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1958

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1958. The...

  17. Tri Annual Narrative Reports : Benton Lake National Wildlife Refuge : September to December 1962

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September through December of 1962. The report begins by...

  18. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1949

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Pishkun, Willow Creek, and Benton Lake National Wildlife Refuges outlines Refuge accomplishments from January through April of 1949. The...

  19. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1951

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1951. The...

  20. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : January to April 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Pishkun, Willow Creek, and Benton Lake National Wildlife Refuges outlines Refuge accomplishments from January through April of 1950. The...

  1. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1986

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1986 calendar year. The report begins with a summary...

  2. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1985

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1985 calendar year. The report begins with a summary...

  3. Benton Lake National Wildlife Refuge : Annual Narrative Report : Calendar Year 1987

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1987 calendar year. The report begins with a summary...

  4. Tri Annual Narrative Reports : Benton Lake National Wildlife Refuge : May to August 1962

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August of 1962. The report begins by summarizing the...

  5. White-faced Ibis nesting survey at Benton Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes a White-faced Ibis study that was conducted on Benton Lake NWR during 1996. The objectives were to document the number of breeding pairs on...

  6. Benton Lake National Wildlife Refuge annual narrative report: Calendar year 1991

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1991 calendar year. The report begins with a summary...

  7. Water Management Report : Benton Lake National Wildlife Refuge : Calendar year 1974

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes water management on Benton Lake NWR during 1974. Water quantity- including water levels, factors which affect consumption rates, water...

  8. Quarterly Narrative Reports : Pishkun, Willow Creek, Benton Lake [National Wildlife Refuge] : May to July 1940

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Willow Creek, Benton Lake, and Pishkun National Wildlife Refuge outlines Refuge accomplishments from May to July 1940. The report begins by...

  9. Benton Lake National Wildlife Refuge and Wetland Management District : Annual narrative report : Calendar year 1997

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Benton Lake National Wildlife Refuge outlines Refuge accomplishments during the 1997 calendar year. The report begins with a summary...

  10. Tri Annual Narrative Reports : Pishkun, Willow Creek, Benton Lake National Wildlife Refuge : September to December 1954

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Benton Lake, Willow Creek, Pishkun National Wildlife Refuge outlines Refuge accomplishments from September through December of 1954. The...

  11. Sales of Forestry-Related Specialty License Plates in the Southern United States: A County Level Empirical Analysis

    Directory of Open Access Journals (Sweden)

    Shaun M. Tanger

    2016-07-01

    Full Text Available In recent years, specialty license plates have become an increasingly popular way to raise awareness and show support for a myriad of issues with which the plate is linked. Several states and various organizations that provide forestry education have developed forestry license plates. Vehicle owners can purchase the plates to show their support towards forestry by buying the forestry license plates, which generates revenue for the provider organization. Using county-level data from five states in the Southeastern United States, a statistical model was developed to examine explanatory factors of forestry-based specialty license plate sales in 2014. Using linear count regression modeling, we observed that the significant predictor variables of plate sales were income per capita, population density, the percentage of acres that are forested in the county, acres of forest in the county that are privately owned, percentage of people who are 65 or older, and presence of the forest industry in the county. Plate sales were positively correlated with the presence of the forest industry in the county.

  12. County-Scale Distribution of Ixodes scapularis and Ixodes pacificus (Acari: Ixodidae) in the Continental United States.

    Science.gov (United States)

    Eisen, Rebecca J; Eisen, Lars; Beard, Charles B

    2016-03-01

    The blacklegged tick, Ixodes scapularis Say, is the primary vector to humans in the eastern United States of the Lyme disease spirochete Borrelia burgdorferi, as well as causative agents of anaplasmosis and babesiosis. Its close relative in the far western United States, the western blacklegged tick Ixodes pacificus Cooley and Kohls, is the primary vector to humans in that region of the Lyme disease and anaplasmosis agents. Since 1991, when standardized surveillance and reporting began, Lyme disease case counts have increased steadily in number and in geographical distribution in the eastern United States. Similar trends have been observed for anaplasmosis and babesiosis. To better understand the changing landscape of risk of human exposure to disease agents transmitted by I. scapularis and I. pacificus, and to document changes in their recorded distribution over the past two decades, we updated the distribution of these species from a map published in 1998. The presence of I. scapularis has now been documented from 1,420 (45.7%) of the 3,110 continental United States counties, as compared with 111 (3.6%) counties for I. pacificus. Combined, these vectors of B. burgdorferi and other disease agents now have been identified in a total of 1,531 (49.2%) counties spread across 43 states. This marks a 44.7% increase in the number of counties that have recorded the presence of these ticks since the previous map was presented in 1998, when 1,058 counties in 41 states reported the ticks to be present. Notably, the number of counties in which I. scapularis is considered established (six or more individuals or one or more life stages identified in a single year) has more than doubled since the previous national distribution map was published nearly two decades ago. The majority of county status changes occurred in the North-Central and Northeastern states, whereas the distribution in the South remained fairly stable. Two previously distinct foci for I. scapularis in the

  13. The relationship between the location of pediatric intensive care unit facilities and child death from trauma: a county-level ecologic study.

    Science.gov (United States)

    Odetola, Folafoluwa O; Miller, William C; Davis, Matthew M; Bratton, Susan L

    2005-07-01

    To describe the relationship between the location of Pediatric Intensive Care Unit (PICU) facilities and county-level child death from trauma in the contiguous USA. We conducted a cross-sectional ecologic study using county-level data on death due to trauma in children 0 to 14 years of age from 1996 to 1998. These data were linked to 1997 county-level data on availability of PICU facilities. In 1997, PICU facilities were present in 9% of USA counties. There were 18,337 childhood deaths from trauma in the study period. The presence of PICU facilities in a county was associated with lower mortality from trauma (incidence rate ratio [IRR] = 0.72; 95% CI 0.67-0.78) compared to counties without PICU facilities. After controlling for residence in rural and low-income counties, and the presence of adult medicosurgical intensive care units, the presence of PICU facilities in a county remained associated with lower rates of death from trauma (IRR = 0.82; 95% CI 0.75-0.89). The presence of PICU facilities is related to lower mortality rates due to traumatic injuries at the county level. This finding may reflect the concentration of pediatric subspecialty care in counties with PICUs. This association merits further study with individual-level observations.

  14. Changes in Disparity in County-Level Diagnosed Diabetes Prevalence and Incidence in the United States, between 2004 and 2012

    Science.gov (United States)

    Gregg, Edward W.; Beckles, Gloria L.; Luman, Elizabeth T.; Barker, Lawrence E.; Geiss, Linda S.

    2016-01-01

    Background In recent decades, the United States experienced increasing prevalence and incidence of diabetes, accompanied by large disparities in county-level diabetes prevalence and incidence. However, whether these disparities are widening, narrowing, or staying the same has not been studied. We examined changes in disparity among U.S. counties in diagnosed diabetes prevalence and incidence between 2004 and 2012. Methods We used 2004 and 2012 county-level diabetes (type 1 and type 2) prevalence and incidence data, along with demographic, socio-economic, and risk factor data from various sources. To determine whether disparities widened or narrowed over the time period, we used a regression-based β-convergence approach, accounting for spatial autocorrelation. We calculated diabetes prevalence/incidence percentage point (ppt) changes between 2004 and 2012 and modeled these changes as a function of baseline diabetes prevalence/incidence in 2004. Covariates included county-level demographic and, socio-economic data, and known type 2 diabetes risk factors (obesity and leisure-time physical inactivity). Results For each county-level ppt increase in diabetes prevalence in 2004 there was an annual average increase of 0.02 ppt (p<0.001) in diabetes prevalence between 2004 and 2012, indicating a widening of disparities. However, after accounting for covariates, diabetes prevalence decreased by an annual average of 0.04 ppt (p<0.001). In contrast, changes in diabetes incidence decreased by an average of 0.04 ppt (unadjusted) and 0.09 ppt (adjusted) for each ppt increase in diabetes incidence in 2004, indicating a narrowing of county-level disparities. Conclusions County-level disparities in diagnosed diabetes prevalence in the United States widened between 2004 and 2012, while disparities in incidence narrowed. Accounting for demographic and, socio-economic characteristics and risk factors for type 2 diabetes narrowed the disparities, suggesting that these factors are

  15. Spatially varying predictors of teenage birth rates among counties in the United States

    Directory of Open Access Journals (Sweden)

    Carla Shoff

    2012-09-01

    Full Text Available BACKGROUND Limited information is available about teenage pregnancy and childbearing in rural areas, even though approximately 20 percent of the nation's youth live in rural areas. Identifying whether there are differences in the teenage birth rate (TBR across metropolitan and nonmetropolitan areas is important because these differences may reflect modifiable ecological-level influences such as education, employment, laws, healthcare infrastructure, and policies that could potentially reduce the TBR. OBJECTIVE The goals of this study are to investigate whether there are spatially varying relationships between the TBR and the independent variables, and if so, whether these associations differ between metropolitan and nonmetropolitan counties. METHODS We explore the heterogeneity within metropolitan/nonmetropolitan county groups separately using geographically weighted regression (GWR, and investigate the difference between metropolitan/nonmetropolitan counties using spatial regime models with spatial errors. These analyses were applied to county-level data from the National Center for Health Statistics and the US Census Bureau. RESULTS GWR results suggested that non-stationarity exists in the associations between TBR and determinants within metropolitan/nonmetropolitan groups. The spatial regime analysis indicated that the effect of socioeconomic disadvantage on TBR significantly varied by the metropolitan status of counties. CONCLUSIONS While the spatially varying relationships between the TBR and independent variables were found within each metropolitan status of counties, only the magnitude of the impact of the socioeconomic disadvantage index is significantly stronger among metropolitan counties than nonmetropolitan counties. Our findings suggested that place-specific policies for the disadvantaged groups in a county could be implemented to reduce TBR in the US.

  16. Estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture...

  17. USGS Small-scale Dataset - 1:1,000,000-Scale County Boundary Lines of the United States 201406 FileGDB 10.1

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map layer portrays the county boundaries of the United States, Puerto Rico, and the U.S. Virgin Islands as linework. The map layer was derived from the...

  18. Estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S....

  19. Estimates of agricultural-chemical use in counties in the conterminous United States as reported in the 1987 Census of Agriculture

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains estimates of agricultural-chemical use in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S....

  20. Estimates of land in agricultural production in counties in the conterminous United States as reported in the 1987 Census of Agriculture

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains estimates of land in agricultural production in counties in the conterminous United States as reported in the 1987 Census of Agriculture (U.S....

  1. Record of Decision for the Final Remedial Action for the Rocky Mountain Arsenal Offpost Unit in southern Adams County, Commerce City, Colorado

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This decision document presents the selected remedial action for the Rocky Mountain Arsenal (RMA) Offpost Operable Unit (OU) in southern Adams County, east of...

  2. EnviroAtlas - Farm Service Land Rental Rates by County for the United States

    Data.gov (United States)

    U.S. Environmental Protection Agency — This EnviroAtlas data set depicts estimates for mean cash rent paid for land by farmers, sorted by county for irrigated cropland, non-irrigated cropland, and pasture...

  3. Non-Psychiatric Services Provided in a Mental Health Unit in a County Jail.

    Science.gov (United States)

    Young, Diane S.

    2002-01-01

    Examines mental health service provision by social workers in a county jail through a retrospective review of 359 mentally ill jail inmates' health and mental health records. Of the non-psychiatric, mental health services provided beyond initial assessment, housing placement evaluations and follow-up sessions were the most frequent. Suggestions…

  4. Evaluating County-Level Heat Vulnerability and Social Inequity in the United States through Climate and Socioeconomic Indices

    Science.gov (United States)

    Gannon, C.

    2016-12-01

    Climate change will have many impacts on human health, perhaps most directly through extreme heat. High temperature and humidity combinations inhibit the body's ability to cool through physiological responses such as sweating. In conjunction with extended periods of extreme heat and shifted seasonality, these conditions are particularly dangerous. Current research and literature can be used to show where dangerous heat and humidity conditions are likely to be most prevalent, or where populations vulnerable to heat stress reside. To provide a better assessment of overall heat vulnerability, however, many complex factors, such as relative changes in temperature patterns or local socioeconomic conditions, must also be considered. Here, we utilize a multivariate approach to establish county-level risk scores by combining the most relevant indicators for heat vulnerability with climate model projections of wet bulb globe temperature, a metric useful for understanding how the human body will respond to conditions of high heat and humidity. We present our findings as an ESRI ArcOnline Story Map with data aggregated at the county-level in the continental United States. This format allows users to access maps showing each county's score in four categories related to heat vulnerability: heat and humidity hazards, population vulnerability, medical access, and physical infrastructure. A final map showcases a composite heat vulnerability score for each county, with comparisons to state and national averages. Our tool, part of the White House's Climate Data Initiative, is presented as a series of maps with a normalized scoring system to provide clear and easy access to the indicators most relevant to evaluating heat vulnerability at a local level. Ultimately, this readily available tool with general indices helps community decision makers communicate heat vulnerability and identify which resilience factors are most critical to improving local resilience.

  5. Superfund record of decision (EPA Region 5): Feed Materials Production Center, (USDOE), Operable Unit 1, Fernald, Hamilton and Butler Counties, OH, March 1, 1995. Final report

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-02-01

    The decision document presents the selected remedial action for Operable Unit 1 of the FEMP site in Hamilton and Butler Counties, Ohio. Operable Unit 1 consists of Waste Pits 1 through 6, the Burn Pit, the Clearwell, and associated environmental media (excluding groundwater).

  6. Invasive Cancer Incidence, 2004-2013, and Deaths, 2006-2015, in Nonmetropolitan and Metropolitan Counties - United States.

    Science.gov (United States)

    Henley, S Jane; Anderson, Robert N; Thomas, Cheryll C; Massetti, Greta M; Peaker, Brandy; Richardson, Lisa C

    2017-07-07

    Previous reports have shown that persons living in nonmetropolitan (rural or urban) areas in the United States have higher death rates from all cancers combined than persons living in metropolitan areas. Disparities might vary by cancer type and between occurrence and death from the disease. This report provides a comprehensive assessment of cancer incidence and deaths by cancer type in nonmetropolitan and metropolitan counties. 2004-2015. Cancer incidence data from CDC's National Program of Cancer Registries and the National Cancer Institute's Surveillance, Epidemiology, and End Results program were used to calculate average annual age-adjusted incidence rates for 2009-2013 and trends in annual age-adjusted incidence rates for 2004-2013. Cancer mortality data from the National Vital Statistics System were used to calculate average annual age-adjusted death rates for 2011-2015 and trends in annual age-adjusted death rates for 2006-2015. For 5-year average annual rates, counties were classified into four categories (nonmetropolitan rural, nonmetropolitan urban, metropolitan with population cancer site. Trends in rates were examined by county classification and cancer site. During the most recent 5-year period for which data were available, nonmetropolitan rural areas had lower average annual age-adjusted cancer incidence rates for all anatomic cancer sites combined but higher death rates than metropolitan areas. During 2006-2015, the annual age-adjusted death rates for all cancer sites combined decreased at a slower pace in nonmetropolitan areas (-1.0% per year) than in metropolitan areas (-1.6% per year), increasing the differences in these rates. In contrast, annual age-adjusted incidence rates for all cancer sites combined decreased approximately 1% per year during 2004-2013 both in nonmetropolitan and metropolitan counties. This report provides the first comprehensive description of cancer incidence and mortality in nonmetropolitan and metropolitan counties in

  7. County Population Vulnerability

    Data.gov (United States)

    City and County of Durham, North Carolina — This layer summarizes the social vulnerability index for populations within each county in the United States at scales 1:3m and below. It answers the question...

  8. County-level estimates of nutrient inputs to the landsurface of the conterminous United States, 1982-2001

    Science.gov (United States)

    Ruddy, Barbara C.; Lorenz, David L.; Mueller, David K.

    2006-01-01

    Nutrient input data for fertilizer use, livestock manure, and atmospheric deposition from various sources were estimated and allocated to counties in the conterminous United States for the years 1982 through 2001. These nationally consistent nutrient input data are needed by the National Water-Quality Assessment Program for investigations of stream- and ground-water quality. For nitrogen, the largest source was farm fertilizer; for phosphorus, the largest sources were farm fertilizer and livestock manure. Nutrient inputs from fertilizer use in nonfarm areas, while locally important, were an order of magnitude smaller than inputs from other sources. Nutrient inputs from all sources increased between 1987 and 1997, but the relative proportions of nutrients from each source were constant. Farm-fertilizer inputs were highest in the upper Midwest, along eastern coastal areas, and in irrigated areas of the West. Nonfarm-fertilizer use was similar in major metropolitan areas throughout the Nation, but was more extensive in the more populated Eastern and Central States and in California. Areas of greater manure inputs were located throughout the South-central and Southeastern States and in scattered areas of the West. Nitrogen deposition from the atmosphere generally increased from west to east and is related to the location of major sources and the effects of precipitation and prevailing winds. These nutrient-loading data at the county level are expected to be the fundamental basis for national and regional assessments of water quality for the National Water-Quality Assessment Program and other large-scale programs.

  9. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Charles M. Russel National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  10. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  11. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1947

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  12. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1944

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  13. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1947

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  14. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1951

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  15. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1948

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  16. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1959

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  17. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1955

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  18. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  19. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1949

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  20. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1954

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  1. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1944

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  2. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1950

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  3. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1957

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  4. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1958

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  5. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1957

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  6. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1954

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  7. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1956

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  8. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1948

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  9. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1943

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  10. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1953

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  11. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1949

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  12. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1955

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  13. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Charles M. Russel National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  14. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1955

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  15. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1946

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  16. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1958

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  17. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1956

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  18. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Northeast Montana Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  19. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Red Rock Lakes National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  20. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Red Rock Lakes National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  1. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Northwest Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  2. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Lost Trail National Wildlife Refuge, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  3. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Swan River National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO MT Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  4. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Lost Trail National Wildlife Refuge, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO MT Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  5. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Lost Trail National Wildlife Refuge, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  6. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Lost Trail National Wildlife Refuge, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  7. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Lost Trail National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  8. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Northwest Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  9. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Northwest Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  10. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Red Rock Lakes National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  11. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1954

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  12. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : January to April 1960

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from January through April...

  13. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : May to August 1948

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from May to August...

  14. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Charles M. Russel National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  15. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Charles M. Russel National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  16. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1956

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  17. Vegetation inventory, mapping, and functional health assessment of wetlands on the Benton Lake National Wildlife Refuge in Montana

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Bitterroot Restoration, Inc. (BRI) contracted with the U.S. Fish and Wildlife Service atBenton Lake National Wildlife Refuge (BLNWR) to conduct an inventory of...

  18. Lentic wetland inventory, health assessment, and vegetation mapping of the Benton Lake National Wildlife Refuge, central Montana [draft

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The objective of this study is to characterize and quantify the wetland vegetation present on Benton Lake NWR in terms of individual species, as well as vegetation...

  19. [Montana MOYOCO Invasive Species Strike Team Final Report 2012] Northwest Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  20. [Montana MOYOCO Invasive Species Strike Team Final Report 2015] Swan River National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  1. [Montana MOYOCO Invasive Species Strike Team Final Report 2016] Northwest Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  2. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Red Rock Lakes National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  3. [Montana MOYOCO Invasive Species Strike Team Final Report 2011] Northeast Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  4. [Montana MOYOCO Invasive Species Strike Team Final Report 2012] Northeast Montana Wetland Management District, Benton Lake & Lee Metcalf ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  5. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Northeast Montana Wetland Management District, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  6. Narrative Report : Nine-pipe, Pablo, Pishkun, Willow Creek & Benton Lake National Wildlife Refuges : September to December 1951

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Nine-pipe, Pablo, Pishkun, Willow Creek and Benton Lake National Wildlife Refuge outlines Refuge accomplishments from September to December...

  7. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] Medicine Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  8. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] Medicine Lake National Wildlife Refuge, Benton Lake ISST

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  9. Prevalence of Arthritis and Arthritis-Attributable Activity Limitation by Urban-Rural County Classification - United States, 2015.

    Science.gov (United States)

    Boring, Michael A; Hootman, Jennifer M; Liu, Yong; Theis, Kristina A; Murphy, Louise B; Barbour, Kamil E; Helmick, Charles G; Brady, Terry J; Croft, Janet B

    2017-05-26

    Rural populations in the United States have well documented health disparities, including higher prevalences of chronic health conditions (1,2). Doctor-diagnosed arthritis is one of the most prevalent health conditions (22.7%) in the United States, affecting approximately 54.4 million adults (3). The impact of arthritis is considerable: an estimated 23.7 million adults have arthritis-attributable activity limitation (AAAL). The age-standardized prevalence of AAAL increased nearly 20% from 2002 to 2015 (3). Arthritis prevalence varies widely by state (range = 19%-36%) and county (range = 16%-39%) (4). Despite what is known about arthritis prevalence at the national, state, and county levels and the substantial impact of arthritis, little is known about the prevalence of arthritis and AAAL across urban-rural areas overall and among selected subgroups. To estimate the prevalence of arthritis and AAAL by urban-rural categories CDC analyzed data from the 2015 Behavioral Risk Factor Surveillance System (BRFSS). The unadjusted prevalence of arthritis in the most rural areas was 31.8% (95% confidence intervals [CI] = 31.0%-32.5%) and in the most urban, was 20.5% (95% CI = 20.1%-21.0%). The unadjusted AAAL prevalence among adults with arthritis was 55.3% in the most rural areas and 49.7% in the most urban. Approximately 1 in 3 adults in the most rural areas have arthritis and over half of these adults have AAAL. Wider use of evidence-based interventions including physical activity and self-management education in rural areas might help reduce the impact of arthritis and AAAL.

  10. Tax Area Boundaries, Tax units, Published in unknown, Norton County Appraisal Office.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Tax Area Boundaries dataset, was produced all or in part from Hardcopy Maps information as of unknown. It is described as 'Tax units'. Data by this publisher...

  11. 75 FR 32201 - Tennessee National Wildlife Refuge, Henry, Benton, Decatur, and Humphreys Counties, TN

    Science.gov (United States)

    2010-06-07

    ... new impoundments, and increasing water supply (i.e., pumps, wells, and structures) for migratory birds... increasing water supply (i.e., pumps, wells, and structures) for migratory birds. While doing this, we would... Canada goose, as well as to provide opportunities for fishing. We would continue to offer opportunities...

  12. Mollusc survey of the Hanford Site, Benton and Franklin Counties, Washington

    Energy Technology Data Exchange (ETDEWEB)

    Frest, T.J.; Johannes, E.J.

    1993-05-01

    Assessment of the beneficial uses of the Columbia River and surrounding land at Hanford is enhanced by knowing the distribution of the plants and animals that live there. Deixis Consultants conducted surveys to determine the distribution of land and freshwater molluscs (malacofauna) on the US Department of Energy's Hanford Site and surrounding areas for the Pacific Northwest Laboratory. The surveys were conducted in 1992. Five species of freshwater molluscs and six species of land snails were found at 21 localities on the Site. The malacofauna of the Site is sparse in comparison to that of other areas in Washington with roughly comparable substrate and climate. Most species found at Hanford are widely distributed forms or are introduced (nonnative) taxa. The Site does have a single endemic land snail, Cryptomastix n. sp., found at a single location. This species likely will be considered a candidate for federal listing. Geologic factors and human modification of spring habitats are the likely causes for the depauperate malacofauna.

  13. Mollusc survey of the Hanford Site, Benton and Franklin Counties, Washington

    Energy Technology Data Exchange (ETDEWEB)

    Frest, T.J.; Johannes, E.J.

    1993-05-01

    Assessment of the beneficial uses of the Columbia River and surrounding land at Hanford is enhanced by knowing the distribution of the plants and animals that live there. Deixis Consultants conducted surveys to determine the distribution of land and freshwater molluscs (malacofauna) on the US Department of Energy`s Hanford Site and surrounding areas for the Pacific Northwest Laboratory. The surveys were conducted in 1992. Five species of freshwater molluscs and six species of land snails were found at 21 localities on the Site. The malacofauna of the Site is sparse in comparison to that of other areas in Washington with roughly comparable substrate and climate. Most species found at Hanford are widely distributed forms or are introduced (nonnative) taxa. The Site does have a single endemic land snail, Cryptomastix n. sp., found at a single location. This species likely will be considered a candidate for federal listing. Geologic factors and human modification of spring habitats are the likely causes for the depauperate malacofauna.

  14. 77 FR 23496 - Notice of Intent To Repatriate Cultural Items: Benton County Historical Society and Museum...

    Science.gov (United States)

    2012-04-19

    ... ring. All of the items are from the Horner Museum which was established in 1925 on the campus of what is now Oregon State University in Corvallis, OR. In 2005, items from the Horner Museum were acquired... requirements for items from the Horner Museum. In the transfer agreement with OSU, the BCHS took...

  15. Operation of N Reactor and Fuels Fabrication Facilities, Hanford Reservation, Richland, Benton County, Washington: Environmental assessment

    Energy Technology Data Exchange (ETDEWEB)

    1980-08-01

    Environmental data, calculations and analyses show no significant adverse radiological or nonradiological impacts from current or projected future operations resulting from N Reactor, Fuels Fabrication and Spent Fuel Storage Facilities. Nonoccupational radiation exposures resulting from 1978 N Reactor operations are summarized and compared to allowable exposure limits.

  16. 77 FR 23497 - Notice of Intent To Repatriate Cultural Items: Benton County Historical Society and Museum...

    Science.gov (United States)

    2012-04-19

    ... Description of the Cultural Items The nine cultural items include: 1 basket hat; 1 drum; 1 wild celery root; 1... items (the hat, the drum, the wild celery root, the elk horn purse, the projectile point, and the hair... Barrett, the daughter-in-law of Mrs. James Edmond Barrett. According to the 1934 catalog cards,...

  17. Operation of N Reactor and Fuels Fabrication Facilities, Hanford Reservation, Richland, Benton County, Washington: Environmental assessment

    Energy Technology Data Exchange (ETDEWEB)

    1980-08-01

    Environmental data, calculations and analyses show no significant adverse radiological or nonradiological impacts from current or projected future operations resulting from N Reactor, Fuels Fabrication and Spent Fuel Storage Facilities. Nonoccupational radiation exposures resulting from 1978 N Reactor operations are summarized and compared to allowable exposure limits.

  18. Cities, Towns and Villages, Corporate limits, Published in Not Provided, Benton County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Cities, Towns and Villages dataset, was produced all or in part from Not Provided information as of Not Provided. It is described as 'Corporate limits'. Data by...

  19. Parcels and Land Ownership, Parcels, parcel numbers, Published in Not Provided, Benton County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset, was produced all or in part from Not Provided information as of Not Provided. It is described as 'Parcels, parcel numbers'....

  20. 76 FR 30382 - Willamette Valley National Wildlife Refuge Complex, Benton, Linn, Marion, and Polk Counties, OR

    Science.gov (United States)

    2011-05-25

    ... available to the public, including opportunities for hunting, fishing, wildlife observation and photography... SE., Albany, OR 97231, 541-917-7580. Dallas Public Library, 950 Main Street, Dallas, OR 97338, 503-623-2633. Jefferson Public Library, 128 South Main Street, Jefferson, OR 97352, 541-327-3826. Next...

  1. Drift of aquatic microfauna in Logan Cave Stream, Benton County, Arkansas

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Periodic drift of vertebrates and invertebrates is a known phenomenon in surface streams. Change in light intensity has generally been targeted as the trigger for...

  2. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, BENTON COUNTY, TENNESSEE AND INCORPORATED AREAS

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Digital Flood Insurance Rate Map (DFIRM) Database depicts flood risk information and supporting data used to develop the risk data. The primary risk...

  3. County-level estimates of nitrogen and phosphorus from commercial fertilizer for the Conterminous United States, 1987–2006

    Science.gov (United States)

    Gronberg, Jo Ann M.; Spahr, Norman E.

    2012-01-01

    The U.S. Geological Survey’s National Water-Quality Assessment program requires nutrient input for analysis of the national and regional assessment of water quality. Detailed information on nutrient inputs to the environment are needed to understand and address the many serious problems that arise from excess nutrients in the streams and groundwater of the Nation. This report updates estimated county-level farm and nonfarm nitrogen and phosphorus input from commercial fertilizer sales for the conterminous United States for 1987 through 2006. Estimates were calculated from the Association of American Plant Food Control Officials fertilizer sales data, Census of Agriculture fertilizer expenditures, and U.S. Census Bureau county population. A previous national approach for deriving farm and nonfarm fertilizer nutrient estimates was evaluated, and a revised method for selecting representative states to calculate national farm and nonfarm proportions was developed. A national approach was used to estimate farm and nonfarm fertilizer inputs because not all states distinguish between farm and nonfarm use, and the quality of fertilizer reporting varies from year to year. For states that distinguish between farm and nonfarm use, the spatial distribution of the ratios of nonfarm-to-total fertilizer estimates for nitrogen and phosphorus calculated using the national-based farm and nonfarm proportions were similar to the spatial distribution of the ratios generated using state-based farm and nonfarm proportions. In addition, the relative highs and lows in the temporal distribution of farm and nonfarm nitrogen and phosphorus input at the state level were maintained—the periods of high and low usage coincide between national- and state-based values. With a few exceptions, nonfarm nitrogen estimates were found to be reasonable when compared to the amounts that would result if the lawn application rates recommended by state and university agricultural agencies were used. Also

  4. Spatio-temporal cluster analysis of county-based human West Nile virus incidence in the continental United States

    Directory of Open Access Journals (Sweden)

    DeGroote John P

    2009-07-01

    Full Text Available Abstract Background West Nile virus (WNV is a vector-borne illness that can severely affect human health. After introduction on the East Coast in 1999, the virus quickly spread and became established across the continental United States. However, there have been significant variations in levels of human WNV incidence spatially and temporally. In order to quantify these variations, we used Kulldorff's spatial scan statistic and Anselin's Local Moran's I statistic to uncover spatial clustering of human WNV incidence at the county level in the continental United States from 2002–2008. These two methods were applied with varying analysis thresholds in order to evaluate sensitivity of clusters identified. Results The spatial scan and Local Moran's I statistics revealed several consistent, important clusters or hot-spots with significant year-to-year variation. In 2002, before the pathogen had spread throughout the country, there were significant regional clusters in the upper Midwest and in Louisiana and Mississippi. The largest and most consistent area of clustering throughout the study period was in the Northern Great Plains region including large portions of Nebraska, South Dakota, and North Dakota, and significant sections of Colorado, Wyoming, and Montana. In 2006, a very strong cluster centered in southwest Idaho was prominent. Both the spatial scan statistic and the Local Moran's I statistic were sensitive to the choice of input parameters. Conclusion Significant spatial clustering of human WNV incidence has been demonstrated in the continental United States from 2002–2008. The two techniques were not always consistent in the location and size of clusters identified. Although there was significant inter-annual variation, consistent areas of clustering, with the most persistent and evident being in the Northern Great Plains, were demonstrated. Given the wide variety of mosquito species responsible and the environmental conditions they

  5. Ground-Water Quality Data in the Kern County Subbasin Study Unit, 2006 - Results from the California GAMA Program

    Science.gov (United States)

    Shelton, Jennifer L.; Pimentel, Isabel; Fram, Miranda S.; Belitz, Kenneth

    2008-01-01

    Ground-water quality in the approximately 3,000 square-mile Kern County Subbasin study unit (KERN) was investigated from January to March, 2006, as part of the Priority Basin Assessment Project of the Groundwater Ambient Monitoring and Assessment (GAMA) Program. The GAMA Priority Basin Assessment project was developed in response to the Groundwater Quality Monitoring Act of 2001, and is being conducted by the California State Water Resources Control Board (SWRCB) in collaboration with the U.S. Geological Survey (USGS) and the Lawrence Livermore National Laboratory (LLNL). The Kern County Subbasin study was designed to provide a spatially unbiased assessment of raw (untreated) ground-water quality within KERN, as well as a statistically consistent basis for comparing water quality throughout California. Samples were collected from 50 wells within the San Joaquin Valley portion of Kern County. Forty-seven of the wells were selected using a randomized grid-based method to provide a statistical representation of the ground-water resources within the study unit. Three additional wells were sampled to aid in the evaluation of changes in water chemistry along regional ground-water flow paths. The ground-water samples were analyzed for a large number of man-made organic constituents (volatile organic compounds [VOCs], pesticides, and pesticide degradates), constituents of special interest (perchlorate, N-nitrosodimethylamine [NDMA], and 1,2,3-trichloropropane [1,2,3-TCP]), naturally occurring inorganic constituents (nutrients, major and minor ions, and trace elements), radioactive constituents, and microbial indicators. Naturally occurring isotopes (tritium, carbon-14, and stable isotopes of hydrogen, oxygen, nitrogen, and carbon) and dissolved noble gases also were measured to help identify the source and age of the sampled ground water. Quality-control samples (blanks, replicates, and laboratory matrix spikes) were collected and analyzed at approximately 10 percent of

  6. Geochemical and geostatistical evaluation, Arkansas Canyon Planning Unit, Fremont and Custer Counties, Colorado

    Science.gov (United States)

    Weiland, E.F.; Connors, R.A.; Robinson, M.L.; Lindemann, J.W.; Meyer, W.T.

    1982-01-01

    A mineral assessment of the Arkansas Canyon Planning Unit was undertaken by Barringer Resources Inc., under the terms of contract YA-553-CTO-100 with the Bureau of Land Management, Colorado State Office. The study was based on a geochemical-geostatistical survey in which 700 stream sediment samples were collected and analyzed for 25 elements. Geochemical results were interpreted by statistical processing which included factor, discriminant, multiple regression and characteristic analysis. The major deposit types evaluated were massive sulfide-base metal, sedimentary and magmatic uranium, thorium vein, magmatic segregation, and carbonatite related deposits. Results of the single element data and multivariate geostatistical analysis indicate that limited potential exists for base metal mineralization near the Horseshoe, El Plomo, and Green Mountain Mines. Thirty areas are considered to be anomalous with regard to one or more of the geochemical parameters evaluated during this study. The evaluation of carbonatite related mineralization was restricted due to the lack of geochemical data specific to this environment.

  7. 2014 Well Completion Report for Corrective Action Unit 447 Project Shoal Area Churchill County, Nevada October 2015

    Energy Technology Data Exchange (ETDEWEB)

    Findlay, Rick [US Department of Energy, Washington, DC (United States).Office of Legacy Management

    2015-11-01

    This report summarizes the drilling program conducted by the U.S. Department of Energy (DOE) Office of Legacy Management at the Project Shoal Area (Shoal) Subsurface Corrective Action Unit 447 in Churchill County, Nevada. Shoal was the location of an underground nuclear test conducted on October 26, 1963, as part of the Vela Uniform program sponsored jointly by the U.S. Department of Defense and the U.S. Atomic Energy Commission (a predecessor to DOE). The test consisted of detonating a 12-kiloton nuclear device in granitic rock at a depth of approximately 1,211 feet (ft) below ground surface (bgs) (AEC 1964). The corrective action strategy for the site is focused on revising the site conceptual model and evaluating the adequacy of the monitoring well network at the site. Field activities associated with the project were conducted in accordance with the Federal Facility Agreement and Consent Order (FFACO 1996, as amended) and applicable Nevada Division of Environmental Protection (NDEP) policies and regulations.

  8. Well Completion Report for Corrective Action Unit 443 Central Nevada Test Area Nye County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    None

    2009-12-01

    The drilling program described in this report is part of a new corrective action strategy for Corrective Action Unit (CAU) 443 at the Central Nevada Test Area (CNTA). The drilling program included drilling two boreholes, geophysical well logging, construction of two monitoring/validation (MV) wells with piezometers (MV-4 and MV-5), development of monitor wells and piezometers, recompletion of two existing wells (HTH-1 and UC-1-P-1S), removal of pumps from existing wells (MV-1, MV-2, and MV-3), redevelopment of piezometers associated with existing wells (MV-1, MV-2, and MV-3), and installation of submersible pumps. The new corrective action strategy includes initiating a new 5-year proof-of-concept monitoring period to validate the compliance boundary at CNTA (DOE 2007). The new 5-year proof-of-concept monitoring period begins upon completion of the new monitor wells and collection of samples for laboratory analysis. The new strategy is described in the Corrective Action Decision Document/Corrective Action Plan addendum (DOE 2008a) that the Nevada Division of Environmental Protection approved (NDEP 2008).

  9. Allegheny County Poor Housing Conditions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This estimate of the percent of distressed housing units in each Census Tract was prepared using data from the American Community Survey and the Allegheny County...

  10. County Spending

    Data.gov (United States)

    Montgomery County of Maryland — This dataset includes County spending data for Montgomery County government. It does not include agency spending. Data considered sensitive or confidential and will...

  11. Action Tweets Linked to Reduced County-Level HIV Prevalence in the United States: Online Messages and Structural Determinants.

    Science.gov (United States)

    Ireland, Molly E; Chen, Qijia; Schwartz, H Andrew; Ungar, Lyle H; Albarracin, Dolores

    2016-06-01

    HIV is uncommon in most US counties but travels quickly through vulnerable communities when it strikes. Tracking behavior through social media may provide an unobtrusive, naturalistic means of predicting HIV outbreaks and understanding the behavioral and psychological factors that increase communities' risk. General action goals, or the motivation to engage in cognitive and motor activity, may support protective health behavior (e.g., using condoms) or encourage activity indiscriminately (e.g., risky sex), resulting in mixed health effects. We explored these opposing hypotheses by regressing county-level HIV prevalence on action language (e.g., work, plan) in over 150 million tweets mapped to US counties. Controlling for demographic and structural predictors of HIV, more active language was associated with lower HIV rates. By leveraging language used on social media to improve existing predictive models of geographic variation in HIV, future targeted HIV-prevention interventions may have a better chance of reaching high-risk communities before outbreaks occur.

  12. Binational Dengue Outbreak Along the United States-Mexico Border - Yuma County, Arizona, and Sonora, Mexico, 2014.

    Science.gov (United States)

    Jones, Jefferson M; Lopez, Benito; Adams, Laura; Gálvez, Francisco Javier Navarro; Núñez, Alfredo Sánchez; Santillán, Nubia Astrid Hernández; Plante, Lydia; Hemme, Ryan R; Casal, Mariana; Hunsperger, Elizabeth A; Muñoz-Jordan, Jorge; Acevedo, Veronica; Ernst, Kacey; Hayden, Mary; Waterman, Steve; Gomez, Diana; Sharp, Tyler M; Komatsu, Kenneth K

    2016-05-20

    Dengue is an acute febrile illness caused by any of four dengue virus types (DENV-1-4). DENVs are transmitted by mosquitos of the genus Aedes (1) and are endemic throughout the tropics (2). In 2010, an estimated 390 million DENV infections occurred worldwide (2). During 2007-2013, a total of three to 10 dengue cases were reported annually in Arizona and all were travel-associated. During September-December 2014, coincident with a dengue outbreak in Sonora, Mexico, 93 travel-associated dengue cases were reported in Arizona residents; 70 (75%) cases were among residents of Yuma County, which borders San Luis Río Colorado, Sonora, Mexico. San Luis Río Colorado reported its first case of locally acquired dengue in September 2014. To investigate the temporal relationship of the dengue outbreaks in Yuma County and San Luis Río Colorado and compare patient characteristics and signs and symptoms, passive surveillance data from both locations were analyzed. In addition, household-based cluster investigations were conducted near the residences of reported dengue cases in Yuma County to identify unreported cases and assess risk for local transmission. Surveillance data identified 52 locally acquired cases (21% hospitalized) in San Luis Río Colorado and 70 travel-associated cases (66% hospitalized) in Yuma County with illness onset during September-December 2014. Among 194 persons who participated in the cluster investigations in Yuma County, 152 (78%) traveled to Mexico at least monthly during the preceding 3 months. Four (2%) of 161 Yuma County residents who provided serum samples for diagnostic testing during cluster investigations had detectable DENV immunoglobulin M (IgM); one reported a recent febrile illness, and all four had traveled to Mexico during the preceding 3 months. Entomologic assessments among 105 households revealed 24 water containers per 100 houses colonized by Ae. aegypti. Frequent travel to Mexico and Ae. aegypti colonization indicate risk for local

  13. Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA.

    Science.gov (United States)

    Docherty, Douglas E; Franson, J Christian; Brannian, Roger E; Long, Renee R; Radi, Craig A; Krueger, David; Johnson, Robert F

    2012-12-01

    In 1999, the U.S. Geological Survey (USGS) National Wildlife Health Center, Madison, Wisconsin, conducted a diagnostic investigation into a water bird mortality event involving intoxication with avian botulism type C and infection with avian chlamydiosis at the Benton Lake National Wildlife Refuge in Montana, USA. Of 24 carcasses necropsied, 11 had lesions consistent with avian chlamydiosis, including two that tested positive for infectious Chlamydophila psittaci, and 12 were positive for avian botulism type C. One bird tested positive for both avian botulism type C and C. psittaci. Of 61 apparently healthy water birds sampled and released, 13 had serologic evidence of C. psittaci infection and 7 were, at the time of capture, shedding infectious C. psittaci via the cloacal or oropharyngeal route. Since more routinely diagnosed disease conditions may mask avian chlamydiosis, these findings support the need for a comprehensive diagnostic investigation when determining the cause of a wildlife mortality event.

  14. Avian botulism and avian chlamydiosis in wild water birds, Benton Lake National Wildlife Refuge, Montana, USA

    Science.gov (United States)

    Docherty, Douglas E.; Franson, J. Christian; Brannian, Roger E.; Long, Renee R.; Radi, Craig A.; Krueger, David; Johnson, Robert F.

    2012-01-01

    In 1999, the U.S. Geological Survey (USGS) National Wildlife Health Center, Madison, Wisconsin, conducted a diagnostic investigation into a water bird mortality event involving intoxication with avian botulism type C and infection with avian chlamydiosis at the Benton Lake National Wildlife Refuge in Montana, USA. Of 24 carcasses necropsied, 11 had lesions consistent with avian chlamydiosis, including two that tested positive for infectious Chlamydophila psittaci, and 12 were positive for avian botulism type C. One bird tested positive for both avian botulism type C and C. psittaci. Of 61 apparently healthy water birds sampled and released, 13 had serologic evidence of C. psittaci infection and 7 were, at the time of capture, shedding infectious C. psittaci via the cloacal or oropharyngeal route. Since more routinely diagnosed disease conditions may mask avian chlamydiosis, these findings support the need for a comprehensive diagnostic investigation when determining the cause of a wildlife mortality event.

  15. The topography of poverty in the United States: a spatial analysis using county-level data from the Community Health Status Indicators project.

    Science.gov (United States)

    Holt, James B

    2007-10-01

    Socioeconomic and health-related data at the county level are now available through the Community Health Status Indicators (CHSI) database. These data are useful for assessing the health of communities and regions. Users of the CHSI data can access online reports and an online mapping application for visualizing patterns in various community-related measures. It also is possible to download these data to conduct local analyses. This paper describes a spatial analysis of poverty in the United States at the county level for 2000. Spatial statistical techniques in a geographic information system were used to quantify significant spatial patterns, such as concentrated poverty rates and spatial outliers. The analysis revealed significant and stark patterns of poverty. A distinctive north-south demarcation of low versus high poverty concentrations was found, along with isolated pockets of high and low poverty within areas in which the predominant poverty rates were opposite. This pattern can be described as following a continental poverty divide. These insights can be useful in explicating the underlying processes involved in forming such spatial patterns that result in concentrated wealth and poverty. The spatial analytic techniques are broadly applicable to socioeconomic and health-related data and can provide important information about the spatial structure of datasets, which is important for choosing appropriate analysis methods.

  16. Advanced Reservoir Characterization and Development through High-Resolution 3C3D Seismic and Horizontal Drilling: Eva South Marrow Sand Unit, Texas County, Oklahoma

    Energy Technology Data Exchange (ETDEWEB)

    Wheeler,David M.; Miller, William A.; Wilson, Travis C.

    2002-03-11

    The Eva South Morrow Sand Unit is located in western Texas County, Oklahoma. The field produces from an upper Morrow sandstone, termed the Eva sandstone, deposited in a transgressive valley-fill sequence. The field is defined as a combination structural stratigraphic trap; the reservoir lies in a convex up -dip bend in the valley and is truncated on the west side by the Teepee Creek fault. Although the field has been a successful waterflood since 1993, reservoir heterogeneity and compartmentalization has impeded overall sweep efficiency. A 4.25 square mile high-resolution, three component three-dimensional (3C3D) seismic survey was acquired in order to improve reservoir characterization and pinpoint the optimal location of a new horizontal producing well, the ESU 13-H.

  17. County-level estimates of nitrogen and phosphorus from animal manure for the conterminous United States, 2007 and 2012

    Science.gov (United States)

    Gronberg, JoAnn M.; Arnold, Terri L.

    2017-03-24

    County-level estimates of nitrogen and phosphorus inputs from animal manure for the conterminous United States were calculated from animal population inventories in the 2007 and 2012 Census of Agriculture, using previously published methods. These estimates of non-point nitrogen and phosphorus inputs from animal manure were compiled in support of the U.S. Geological Survey’s National Water-Quality Assessment Project of the National Water Quality Program and are needed to support national-scale investigations of stream and groundwater water quality. The estimates published in this report are comparable with older estimates which can be compared to show changes in nitrogen and phosphorus inputs from manure over time.

  18. Superfund record of decision (EPA Region 9): Carson River Mercury Site, operable unit 1, Lyon, Storey and Churchill County, NV, March 30, 1995

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1995-06-01

    The Record of Decision (ROD) presents the selected remedial action for Operable Unit 1 (OU-1) of the Carson River Mercury Site (CRMS) which is located in Lyon, Storey and Churchill Counties, Nevada. The selected remedy for the five residential yards is to excavate contaminated surface soil (estimated to go to a depth of approximately 2 feet below ground surface), dispose of the soil at the RCRA municipal landfill if the soils do not exceed the TCLP standards, and restore the excavated areas. If it is determined that all or part of the excavated soil exceeds the TCLP standards, then the excavated soil will either be treated and disposed of at a RCRA municipal landfill or disposed of at the RCRA hazardous waste landfill.

  19. Developing County-level Water Footprints of Biofuel Produced from Switchgrass and Miscanthus x Giganteus in the United States

    Energy Technology Data Exchange (ETDEWEB)

    Wu, May M. [Argonne National Lab. (ANL), Argonne, IL (United States); Chiu, Yi-Wen [Argonne National Lab. (ANL), Argonne, IL (United States)

    2014-09-30

    Perennial grass has been proposed as a potential candidate for producing cellulosic biofuel because of its promising productivity and benefits to water quality, and because it is a non-food feedstock. While extensive research focuses on selecting and developing species and conversion technologies, the impact of grass-based biofuel production on water resources remains less clear. As feedstock growth requires water and the type of water consumed may vary considerably from region to region, water use must be characterized with spatial resolution and on a fuel production basis. This report summarizes a study that assesses the impact of biofuel production on water resource use and water quality at county, state, and regional scales by developing a water footprint of biofuel produced from switchgrass and Miscanthus × giganteus via biochemical conversion.

  20. Shallow seismic reflection profiles and geological structure in the Benton Hills, southeast Missouri

    Science.gov (United States)

    Palmer, J.R.; Hoffman, D.; Stephenson, W.J.; Odum, J.K.; Williams, R.A.

    1997-01-01

    During late May and early June of 1993, we conducted two shallow, high-resolution seismic reflection surveys (Mini-Sosie method) across the southern escarpment of the Benton Hills segment of Crowleys Ridge. The reflection profiles imaged numerous post-late Cretaceous faults and folds. We believe these faults may represent a significant earthquake source zone. The stratigraphy of the Benton Hills consists of a thin, less than about 130 m, sequence of mostly unconsolidated Cretaceous, Tertiary and Quaternary sediments which unconformably overlie a much thicker section of Paleozoic carbonate rocks. The survey did not resolve reflectors within the upper 75-100 ms of two-way travel time (about 60-100 m), which would include all of the Tertiary and Quaternary and most of the Cretaceous. However, the Paleozoic-Cretaceous unconformity (Pz) produced an excellent reflection, and, locally a shallower reflector within the Cretaceous (K) was resolved. No coherent reflections below about 200 ms of two-way travel time were identified. Numerous faults and folds, which clearly offset the Paleozoic-Cretaceous unconformity reflector, were imaged on both seismic reflection profiles. Many structures imaged by the reflection data are coincident with the surface mapped locations of faults within the Cretaceous and Tertiary succession. Two locations show important structures that are clearly complex fault zones. The English Hill fault zone, striking N30??-35??E, is present along Line 1 and is important because earlier workers indicated it has Pleistocene Loess faulted against Eocene sands. The Commerce fault zone striking N50??E, overlies a major regional basement geophysical lineament, and is present on both seismic lines at the southern margin of the escarpment. The fault zones imaged by these surveys are 30 km from the area of intense microseismicity in the New Madrid seismic zone (NMSZ). If these are northeast and north-northeast oriented fault zones like those at Thebes Gap they are

  1. Douglas County Historical Rectified Aerial Photos 1937

    Data.gov (United States)

    Kansas Data Access and Support Center — This raster dataset consists of approximately 200 aerial photographs taken in 1937 in Douglas county, Kansas, United States. The Douglas County Public Works...

  2. Douglas County Historical Rectified Aerial Photos 1954

    Data.gov (United States)

    Kansas Data Access and Support Center — This raster dataset consists of approximately 200 aerial photographs taken in 1954 in Douglas county, Kansas, United States. The Douglas County Public Works...

  3. DOMESTIC AGRICULTURAL MIGRANTS IN THE UNITED STATES, COUNTIES IN WHICH AN ESTIMATED 100 OR MORE SEASONAL AGRICULTURAL WORKERS MIGRATED INTO THE AREA OF WORK DURING THE PEAK SEASON IN 1965.

    Science.gov (United States)

    Bureau of Employment Security (DOL), Washington, DC.

    THE NUMBER OF SEASONAL DOMESTIC AGRICULTURAL MIGRANTS IN EACH COUNTY OF THE UNITED STATES IS PRESENTED GRAPHICALLY ON THIS 26 BY 40 INCH MAP. PUBLIC HEALTH AND OTHER SERVICE AGENCIES MAY USE IT AND ACCOMPANYING TABLES TO PLAN PROGRAM ADJUSTMENTS NECESSITATED BY THE WORKER INFLUX. THE DATA ARE CONFINED TO DOMESTIC WORKERS AND THEIR ACCOMPANYING…

  4. Population dynamics and movement of Ozark cavefish in Logan Cave NWR, Benton County, Arkansas, with additional baseline water quality information

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The population dynamics, general biology, and movements of the threatened Ozark cavefish (Amblyopsis rosae) were studied in Logan Cave National Wildlife Refuge,...

  5. 76 FR 68783 - Notice of Realty Action: Direct (Non-Competitive) Sale of Reversionary Interest in Benton County, WA

    Science.gov (United States)

    2011-11-07

    ..., ER0000 LVRWH11H0730 HAG11-0275] Notice of Realty Action: Direct (Non-Competitive) Sale of Reversionary... INFORMATION below has been determined suitable for direct sale and release to the City of West Richland... planning and zoning ordinances. The reversionary interest in this property will be offered by direct...

  6. Road and Street Centerlines, Published in 2005, 1:4800 (1in=400ft) scale, Benton County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at 1:4800 (1in=400ft) scale, was produced all or in part from Orthoimagery information as of 2005. Data by this publisher are often provided in State...

  7. Costs of Rapid HIV Screening in an Urban Emergency Department and a Nearby County Jail in the Southeastern United States.

    Directory of Open Access Journals (Sweden)

    Anne C Spaulding

    Full Text Available Emergency departments and jails provide medical services to persons at risk for HIV infection and are recommended venues for HIV screening. Our main objective in this study was to analyze the cost per new HIV diagnosis associated with the HIV screening program in these two venues. The emergency department's parallel testing program was conducted at Grady Memorial Hospital in Atlanta, Georgia starting in 2008; the jail's integrated testing program began at the Fulton County (GA Jail in 2011. The two sites, four miles apart from one another, employed the same rapid HIV test. Ascertainment that cases were new differed by site; only the jail systematically checked identities against health department HIV registries. The program in the emergency department used dedicated HIV test counselors and made 242 diagnoses over a 40-month period at a cost of $2,981 per diagnosis. The jail program used staff nurses, and found 41 new HIV cases over 10.5 months at a cost of $6,688 per new diagnosis. Differences in methods for ascertainment of new diagnoses, previously undiagnosed HIV sero-positivity, and methodologies used for assessing program costs prevent concluding that one program was more economical than the other. Nonetheless, our findings show that testing in both venues yielded many new diagnoses, with the costs within the range reported in the literature.

  8. Reliability of Three Benton Judgment of Line Orientation Short Forms in Idiopathic Parkinson’s Disease

    Science.gov (United States)

    Gullett, Joseph M.; Price, Catherine C.; Nguyen, Peter; Okun, Michael S.; Bauer, Russell M.; Bowers, Dawn

    2013-01-01

    Individuals with Parkinson’s disease (PD) often exhibit deficits in visuospatial functioning throughout the course of their disease. These deficits should be carefully assessed as they may have implications for patient safety and disease severity. One of the most commonly administered tests of visuospatial ability, the Benton Judgment of Line Orientation (JLO), consists of 30 pairs of lines requiring the patient to match the orientation of two lines to an array of 11 lines on a separate page. Reliable short forms have been constructed out of the full JLO form, but the reliability of these forms in PD has yet to be examined. Recent functional MRI studies examining the JLO demonstrate right parietal and occipital activation, as well as bilateral frontal activation and PD is known to adversely affect these pathways. We compared the reliability of the original full form to three unique short forms in a sample of 141 non-demented, idiopathic PD patients and 56 age and education matched controls. Results indicated that a two-thirds length short form can be used with high reliability and classification accuracy in patients with idiopathic PD. The other short forms performed in a similar, though slightly less reliable manner. PMID:23957375

  9. Corrective action investigation plan for Corrective Action Unit 340, Pesticide Release Sites, Nevada Test Site, Nye County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    This Correction Action Investigation Plan (CAIP) has been developed in accordance with the Federal Facility Agreement and Consent Order (FFACO) that was agreed to by the US Department of Energy, Nevada Operations Office (DOE/NV); the State of Nevada Division of Environmental Protection (NDEP); and the US Department of Defense. As required by the FFACO (1996), this document provides or references all of the specific information for planning investigation activities associated with three Corrective Action Sites (CASs) located at the Nevada Test Site (NTS). These CASs are collectively known as Corrective Action Unit (CAU) 340, Pesticide Release Sites. According to the FFACO, CASs are sites that may require corrective action(s) and may include solid waste management units or individual disposal or release sites. These sites are CAS 23-21-01, Area 23 Quonset Hut 800 (Q800) Pesticide Release Ditch; CAS 23-18-03, Area 23 Skid Huts Pesticide Storage; and CAS 15-18-02, Area 15 Quonset Hut 15-11 Pesticide Storage (Q15-11). The purpose of this CAIP for CAU 340 is to direct and guide the investigation for the evaluation of the nature and extent of pesticides, herbicides, and other contaminants of potential concern (COPCs) that were stored, mixed, and/or disposed of at each of the CASs.

  10. Well Installation Report for Corrective Action Unit 443, Central Nevada Test Area, Nye County, Nevada, Rev. No.: 0

    Energy Technology Data Exchange (ETDEWEB)

    Tim Echelard

    2006-01-01

    A Corrective Action Investigation (CAI) was performed in several stages from 1999 to 2003, as set forth in the ''Corrective Action Investigation Plan for the Central Nevada Test Area Subsurface Sites, Corrective Action Unit 443'' (DOE/NV, 1999). Groundwater modeling was the primary activity of the CAI. Three phases of modeling were conducted for the Faultless underground nuclear test. The first phase involved the gathering and interpretation of geologic and hydrogeologic data, and inputting the data into a three-dimensional numerical model to depict groundwater flow. The output from the groundwater flow model was used in a transport model to simulate the migration of a radionuclide release (Pohlmann et al., 2000). The second phase of modeling (known as a Data Decision Analysis [DDA]) occurred after NDEP reviewed the first model. This phase was designed to respond to concerns regarding model uncertainty (Pohll and Mihevc, 2000). The third phase of modeling updated the original flow and transport model to incorporate the uncertainty identified in the DDA, and focused the model domain on the region of interest to the transport predictions. This third phase culminated in the calculation of contaminant boundaries for the site (Pohll et al., 2003). Corrective action alternatives were evaluated and an alternative was submitted in the ''Corrective Action Decision Document/Corrective Action Plan for Corrective Action Unit 443: Central Nevada Test Area-Subsurface'' (NNSA/NSO, 2004). Based on the results of this evaluation, the preferred alternative for CAU 443 is Proof-of-Concept and Monitoring with Institutional Controls. This alternative was judged to meet all requirements for the technical components evaluated and will control inadvertent exposure to contaminated groundwater at CAU 443.

  11. Phase II Transport Model of Corrective Action Unit 98: Frenchman Flat, Nevada Test Site, Nye County, Nevada, Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Gregg Ruskuaff

    2010-01-01

    This document, the Phase II Frenchman Flat transport report, presents the results of radionuclide transport simulations that incorporate groundwater radionuclide transport model statistical and structural uncertainty, and lead to forecasts of the contaminant boundary (CB) for a set of representative models from an ensemble of possible models. This work, as described in the Federal Facility Agreement and Consent Order (FFACO) Underground Test Area (UGTA) strategy (FFACO, 1996; amended 2010), forms an essential part of the technical basis for subsequent negotiation of the compliance boundary of the Frenchman Flat corrective action unit (CAU) by Nevada Division of Environmental Protection (NDEP) and National Nuclear Security Administration Nevada Site Office (NNSA/NSO). Underground nuclear testing via deep vertical shafts was conducted at the Nevada Test Site (NTS) from 1951 until 1992. The Frenchman Flat area, the subject of this report, was used for seven years, with 10 underground nuclear tests being conducted. The U.S. Department of Energy (DOE), NNSA/NSO initiated the UGTA Project to assess and evaluate the effects of underground nuclear tests on groundwater at the NTS and vicinity through the FFACO (1996, amended 2010). The processes that will be used to complete UGTA corrective actions are described in the “Corrective Action Strategy” in the FFACO Appendix VI, Revision No. 2 (February 20, 2008).

  12. Somerset County Renewable Energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Katula, Denise [County of Somerset, Somervile, NJ (United States)

    2014-05-07

    The County of Somerset, New Jersey, through the Somerset County Improvement Authority (SCIA), applied Federal funding through the U.S. Department of Energy to will apply project funds to buy-down the capital costs of equipment associated with the installation of solar photovoltaic (PV) systems at two sites owned by the County. This Renewable Energy Initiative allows the County to take advantage of clean renewable energy, without any adverse debt impacts, and at a price that results in operating budget savings beyond what is presently available in the marketplace. This project addressed the objectives of the Office of Energy Efficiency and Renewable Energy by making the acquisition of renewable energy more affordable for the County, thereby, encouraging other counties and local units to develop similar programs and increase the deployment of solar energy technologies. The two sites that were funded by the DOE grant are part of a much larger, ambitious, and unique renewable energy project, described in the next section.

  13. Phase II Documentation Overview of Corrective Action Unit 98: Frenchman Flat, Nevada Test Site, Nye County, Nevada, Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Greg Ruskauff

    2010-04-01

    The U.S. Department of Energy (DOE), National Nuclear Security Administration Nevada Site Office (NNSA/NSO) initiated the Underground Test Area (UGTA) Subproject to assess and evaluate radiologic groundwater contamination resulting from underground nuclear testing at the NTS. These activities are overseen by the Federal Facility Agreement and Consent Order (FFACO) (1996, as amended March 2010). For Frenchman Flat, the UGTA Subproject addresses media contaminated by the underground nuclear tests, which is limited to geologic formations within the saturated zone or 100 meters (m) or less above the water table. Transport in groundwater is judged to be the primary mechanism of migration for the subsurface contamination away from the Frenchman Flat underground nuclear tests. The intent of the UGTA Subproject is to assess the risk to the public from the groundwater contamination produced as a result of nuclear testing. The primary method used to assess this risk is the development of models of flow and contaminant transport to forecast the extent of potentially contaminated groundwater for the next 1,000 years, establish restrictions to groundwater usage, and implement a monitoring program to verify protectiveness. For the UGTA Subproject, contaminated groundwater is that which exceeds the radiological standards of the Safe Drinking Water Act (CFR, 2009) the State of Nevada’s groundwater quality standard to protect human health and the environment. Contaminant forecasts are expected to be uncertain, and groundwater monitoring will be used in combination with land-use control to build confidence in model results and reduce risk to the public. Modeling forecasts of contaminant transport will provide the basis for negotiating a compliance boundary for the Frenchman Flat Corrective Action Unit (CAU). This compliance boundary represents a regulatory-based distinction between groundwater contaminated or not contaminated by underground testing. Transport modeling simulations

  14. County-based estimates of nitrogen and phosphorus content of animal manure in the United States for 1982, 1987, and 1992.

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set contains county estimates of nitrogen and phosphorus content of animal wastes produced annually for the years 1982, 1987, and 1992. The estimates are...

  15. A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014.

    Directory of Open Access Journals (Sweden)

    Cody T Ross

    Full Text Available A geographically-resolved, multi-level Bayesian model is used to analyze the data presented in the U.S. Police-Shooting Database (USPSD in order to investigate the extent of racial bias in the shooting of American civilians by police officers in recent years. In contrast to previous work that relied on the FBI's Supplemental Homicide Reports that were constructed from self-reported cases of police-involved homicide, this data set is less likely to be biased by police reporting practices. County-specific relative risk outcomes of being shot by police are estimated as a function of the interaction of: 1 whether suspects/civilians were armed or unarmed, and 2 the race/ethnicity of the suspects/civilians. The results provide evidence of a significant bias in the killing of unarmed black Americans relative to unarmed white Americans, in that the probability of being {black, unarmed, and shot by police} is about 3.49 times the probability of being {white, unarmed, and shot by police} on average. Furthermore, the results of multi-level modeling show that there exists significant heterogeneity across counties in the extent of racial bias in police shootings, with some counties showing relative risk ratios of 20 to 1 or more. Finally, analysis of police shooting data as a function of county-level predictors suggests that racial bias in police shootings is most likely to emerge in police departments in larger metropolitan counties with low median incomes and a sizable portion of black residents, especially when there is high financial inequality in that county. There is no relationship between county-level racial bias in police shootings and crime rates (even race-specific crime rates, meaning that the racial bias observed in police shootings in this data set is not explainable as a response to local-level crime rates.

  16. A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011-2014.

    Science.gov (United States)

    Ross, Cody T

    2015-01-01

    A geographically-resolved, multi-level Bayesian model is used to analyze the data presented in the U.S. Police-Shooting Database (USPSD) in order to investigate the extent of racial bias in the shooting of American civilians by police officers in recent years. In contrast to previous work that relied on the FBI's Supplemental Homicide Reports that were constructed from self-reported cases of police-involved homicide, this data set is less likely to be biased by police reporting practices. County-specific relative risk outcomes of being shot by police are estimated as a function of the interaction of: 1) whether suspects/civilians were armed or unarmed, and 2) the race/ethnicity of the suspects/civilians. The results provide evidence of a significant bias in the killing of unarmed black Americans relative to unarmed white Americans, in that the probability of being {black, unarmed, and shot by police} is about 3.49 times the probability of being {white, unarmed, and shot by police} on average. Furthermore, the results of multi-level modeling show that there exists significant heterogeneity across counties in the extent of racial bias in police shootings, with some counties showing relative risk ratios of 20 to 1 or more. Finally, analysis of police shooting data as a function of county-level predictors suggests that racial bias in police shootings is most likely to emerge in police departments in larger metropolitan counties with low median incomes and a sizable portion of black residents, especially when there is high financial inequality in that county. There is no relationship between county-level racial bias in police shootings and crime rates (even race-specific crime rates), meaning that the racial bias observed in police shootings in this data set is not explainable as a response to local-level crime rates.

  17. Allegheny County Municipal Building Energy and Water Use

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains energy and water use information from 2010 to 2014 for 144 County-operated buildings. Metrics include: kBtu (thousand British thermal units),...

  18. 40 CFR 81.326 - Missouri.

    Science.gov (United States)

    2010-07-01

    ... Rest of State Unclassifiable/Attainment Barry County Barton County Bates County Benton County Bollinger... County Worth County Rest of State Unclassifiable/Attainment Barry County Barton County Bates County.../Attainment Barry County Barton County Bates County Benton County Bollinger County Butler County Camden...

  19. Assessing the Current Market of Sunscreen: A Cross-Sectional Study of Sunscreen Availability in Three Metropolitan Counties in the United States

    Directory of Open Access Journals (Sweden)

    Kyle T. Amber

    2014-01-01

    Full Text Available Sunscreen use is recommended for the prevention of sunburn and skin cancer. Little is known regarding sunscreen availability in high versus low income communities. We analyzed sunscreen availability in three large metropolitan counties to determine the relationship between availability and community demographics. We included sun care products in all pharmacies and supermarkets open as of July 2013 in representative high and low income zip codes in Cook County, Illinois, Miami-Dade County, Florida, and San Diego County, California. We recorded the percentage of tanning oil, sunscreens with a sun protection factor (SPF  15, physical sunscreens, spray sunscreens, mean price per ounce (PPO, and mean SPF. Of the total products assessed, 11.0% were tanning oils, with physical sunscreens accounting for only 3.4% of the available sunscreens and 46.2% of sunscreens being spray-on. A comparison between higher and lower income zip codes demonstrated a significantly increased percentage of sunscreens with SPF  15 and higher PPO, even when taking into account SPF. Further studies of sunscreen usage patterns in different populations must take into account sunscreen availability and price, as these significantly differ based on the community demographic.

  20. Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models

    Energy Technology Data Exchange (ETDEWEB)

    Shor, R.W.; Baes, C.F. III; Sharp, R.D.

    1982-01-01

    Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska.

  1. More Active Living-oriented County and Municipal Zoning is Associated with Increased Adult Leisure Time Physical Activity-United States, 2011.

    Science.gov (United States)

    Chriqui, Jamie F; Nicholson, Lisa M; Thrun, Emily; Leider, Julien; Slater, Sandy J

    2016-01-01

    Although zoning is recognized for its role in facilitating healthy communities, no study has examined whether active living-oriented zoning codes are associated with adult leisure time physical activity (PA). This study sought to fill this gap and hypothesized that adult leisure time PA would be greater in communities with more progressive zoning code reforms and more active living-oriented zoning. Zoning codes for 1,617 county and municipal jurisdictions located in 30 states (covering ~40% of the U.S. population) were evaluated for code reform zoning and 11 active living markers. County-aggregated zoning measures were created for linking with five adult PA behaviors obtained from the 2011 Behavioral Risk Factor Surveillance System controlling for individual and county sociodemographics. Zoning elements most associated with adult PA included requirements for mixed use, active and passive recreation, bike parking/street furniture, and bike-pedestrian trails/paths. This study provides new insights as to the role that zoning can play in facilitating adult PA.

  2. Update to hazard assessment of selenium contamination at Benton Lake National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The levels of selenium in all trophic levels in Unit 1 on the refuge continue to be a concern. The mean concentration of selenium in water, sediment,...

  3. Hydrologic Data Sites for Garfield County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Garfield County, Utah. The scope and...

  4. Hydrologic Data Sites for Wayne County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Wayne County, Utah. The scope and purpose...

  5. Hydrologic Data Sites for Millard County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Millard County, Utah. The scope and purpose...

  6. Hydrologic Data Sites for Saltlake County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Salt Lake County, Utah. The scope and...

  7. Hydrologic Data Sites for Iron County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Iron County, Utah. The scope and purpose...

  8. Hydrologic Data Sites for Daggett County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Daggett County, Utah. The scope and...

  9. Hydrologic Data Sites for Cache County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Cache County, Utah. The scope and purpose...

  10. Hydrologic Data Sites for Sanpete County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for Sanpete County, Utah. The scope and...

  11. Hydrologic Data Sites for Sanjuan County, Utah

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This map shows the USGS (United States Geologic Survey), NWIS (National Water Inventory System) Hydrologic Data Sites for San Juan County, Utah. The scope and...

  12. A Hydrostratigraphic Model and Alternatives for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 97: Yucca Flat-Climax Mine, Lincoln and Nye Counties, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Geotechnical Sciences Group Bechtel Nevada

    2006-01-01

    A new three-dimensional hydrostratigraphic framework model for the Yucca Flat-Climax Mine Corrective Action Unit was completed in 2005. The model area includes Yucca Flat and Climax Mine, former nuclear testing areas at the Nevada Test Site, and proximal areas. The model area is approximately 1,250 square kilometers in size and is geologically complex. Yucca Flat is a topographically closed basin typical of many valleys in the Basin and Range province. Faulted and tilted blocks of Tertiary-age volcanic rocks and underlying Proterozoic and Paleozoic sedimentary rocks form low ranges around the structural basin. During the Cretaceous Period a granitic intrusive was emplaced at the north end of Yucca Flat. A diverse set of geological and geophysical data collected over the past 50 years was used to develop a structural model and hydrostratigraphic system for the basin. These were integrated using EarthVision? software to develop the 3-dimensional hydrostratigraphic framework model. Fifty-six stratigraphic units in the model area were grouped into 25 hydrostratigraphic units based on each unit's propensity toward aquifer or aquitard characteristics. The authors organized the alluvial section into 3 hydrostratigraphic units including 2 aquifers and 1 confining unit. The volcanic units in the model area are organized into 13 hydrostratigraphic units that include 8 aquifers and 5 confining units. The underlying pre-Tertiary rocks are divided into 7 hydrostratigraphic units, including 3 aquifers and 4 confining units. Other units include 1 Tertiary-age sedimentary confining unit and 1 Mesozoic-age granitic confining unit. The model depicts the thickness, extent, and geometric relationships of these hydrostratigraphic units (''layers'' in the model) along with the major structural features (i.e., faults). The model incorporates 178 high-angle normal faults of Tertiary age and 2 low-angle thrust faults of Mesozoic age. The complexity of the model

  13. Simulating county-level crop yields in the Conterminous United States using the Community Land Model: The effects of optimizing irrigation and fertilization: IMPROVING CROP YIELD SIMULATIONS IN CLM

    Energy Technology Data Exchange (ETDEWEB)

    Leng, Guoyong [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Zhang, Xuesong [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Huang, Maoyi [Earth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland Washington USA; Yang, Qichun [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Rafique, Rashid [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Asrar, Ghassem R. [Joint Global Change Research Institute, Pacific Northwest National Laboratory, College Park Maryland USA; Ruby Leung, L. [Earth System Analysis and Modeling Group, Atmospheric Sciences & Global Change Division, Pacific Northwest National Laboratory, Richland Washington USA

    2016-12-19

    Representing agricultural systems explicitly in Earth system models is important for understanding the water-energy-food nexus under climate change. In this study, we applied Version 4.5 of the Community Land Model (CLM) at a 0.125 degree resolution to provide the first county-scale validation of the model in simulating crop yields over the Conterminous United States (CONUS). We focused on corn and soybean that are both important grain crops and biofuel feedstocks (corn for bioethanol; soybean for biodiesel). We find that the default model substantially under- or over-estimate yields of corn and soybean as compared to the US Department of Agriculture (USDA) census data, with corresponding county-level root-mean square error (RMSE) of 45.3 Bu/acre and 12.9 Bu/acre, or 42% and 38% of the US mean yields for these crops, respectively. Based on the numerical experiments, the lack of proper representation of agricultural management practices, such as irrigation and fertilization, was identified as a major cause for the model's poor performance. After implementing an irrigation management scheme calibrated against county-level US Geological Survey (USGS) census data, the county-level RMSE for corn yields reduced to 42.6 Bu/acre. We then incorporated an optimized fertilizer scheme in rate and timing, which is achieved by the constraining annual total fertilizer amount against the USDA data, considering the dynamics between fertilizer demand and supply and adopting a calibrated fertilizer scheduling map. The proposed approach is shown to be effective in increasing the fertilizer use efficiency for corn yields, with county-level RMSE reduced to 23.8 Bu/acre (or 22% of the US mean yield). In regions with similar annual fertilizer applied as in the default, the improvements in corn yield simulations are mainly attributed to application of longer fertilization periods and consideration of the dynamics between fertilizer demand and supply. For soybean which is capable of

  14. Petrographic report on clay-rich samples from Permian Unit 4 salt, G. Friemel No. 1 well, Palo Duro Basin, Deaf Smith County, Texas: unanalyzed data

    Energy Technology Data Exchange (ETDEWEB)

    Fukui, L M

    1983-09-01

    This report presents the results of mineralogic and petrographic analyses performed on five samples of clay-rich rock from salt-bearing Permian strata sampled by drill core from G. Friemel No. 1 Well, Deaf Smith County, Texas. Five samples of clay-rich rock from depths of about 2457, 2458, 2521, 2548, and 2568 feet were analyzed to determine the amounts of soluble phase (halite) and the amounts and mineralogy of the insoluble phases. The amounts of halite found were 59, 79, 47, 40, and 4 weight percent, respectively, for the samples. The insoluble minerals are predominately clay (20 to 60 volume percent) and anhydrite (up to 17 volume percent), with minor (about 1.0%) and trace amounts of quartz, dolomite, muscovite, and gypsum. The clays include illite, chlorite, and interstratified chlorite-smectite. The results presented in this petrographic report are descriptive, uninterpreted data. 2 references, 7 tables.

  15. Allegheny County Address Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  16. Allegheny County Air Quality

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Air quality data from Allegheny County Health Department monitors throughout the county. Air quality monitored data must be verified by qualified individuals before...

  17. Allegheny County Council Districts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward...

  18. Allegheny County Municipal Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the...

  19. Allegheny County Address Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains address points which represent physical address locations assigned by the Allegheny County addressing authority. Data is updated by County...

  20. Allegheny County Council Districts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays the boundaries of the County Council Districts in Allegheny County. The dataset is based on municipal boundaries and City of Pittsburgh ward...

  1. Allegheny County Municipal Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the municipal boundaries in Allegheny County. Data was created to portray the boundaries of the 130 Municipalities in Allegheny County the...

  2. Tiling a unit square with 8 squares

    CERN Document Server

    Praton, Iwan

    2011-01-01

    Put n nonoverlapping squares inside the unit square. Let f(n) and g(n) denote the maximum values of the sum of the edge lengths of the n small squares, where in the case of f(n) the maximum is taken over all arbitrary packings of the unit square, and in the case of g(n) it is taken over all tilings of the unit square (i.e., the total area of the n small squares is 1). Benton and Tyler asked for which values of n we have f(n)=g(n). We show that f(8)>g(8). More precisely, we show that g(8)=13/5; it is known that f(8) is at least 8/3.

  3. Hydrologic Data for the Groundwater Flow and Contaminant Transport Model of Corrective Action Units 101 and 102: Central and Western Pahute Mesa, Nye County, Nevada, Revision 0

    Energy Technology Data Exchange (ETDEWEB)

    Drici, Warda

    2004-02-01

    This report documents the analysis of the available hydrologic data conducted in support of the development of a Corrective Action Unit (CAU) groundwater flow model for Central and Western Pahute Mesa: CAUs 101 and 102.

  4. Contaminant Transport Parameters for the Groundwater Flow and Contaminant Transport Model of Corrective Action Units 101 and 102: Central and Western Pahute Mesa, Nye County, Nevada, Revision 0

    Energy Technology Data Exchange (ETDEWEB)

    Drici, Warda

    2003-08-01

    This report documents the analysis of the available transport parameter data conducted in support of the development of a Corrective Action Unit (CAU) groundwater flow model for Central and Western Pahute Mesa: CAUs 101 and 102.

  5. A Hydrostrat Model and Alternatives for Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 99: Rainer Mesa-Shoshone Mountain, Nye County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    NSTec Geotechnical Sciences Group

    2007-03-01

    The three-dimensional hydrostratigraphic framework model for the Rainier Mesa-Shoshone Mountain Corrective Action Unit was completed in Fiscal Year 2006. The model extends from eastern Pahute Mesa in the north to Mid Valley in the south and centers on the former nuclear testing areas at Rainier Mesa, Aqueduct Mesa, and Shoshone Mountain. The model area also includes an overlap with the existing Underground Test Area Corrective Action Unit models for Yucca Flat and Pahute Mesa. The model area is geologically diverse and includes un-extended yet highly deformed Paleozoic terrain and high volcanic mesas between the Yucca Flat extensional basin on the east and caldera complexes of the Southwestern Nevada Volcanic Field on the west. The area also includes a hydrologic divide between two groundwater sub-basins of the Death Valley regional flow system. A diverse set of geological and geophysical data collected over the past 50 years was used to develop a structural model and hydrostratigraphic system for the model area. Three deep characterization wells, a magnetotelluric survey, and reprocessed gravity data were acquired specifically for this modeling initiative. These data and associated interpretive products were integrated using EarthVision{reg_sign} software to develop the three-dimensional hydrostratigraphic framework model. Crucial steps in the model building process included establishing a fault model, developing a hydrostratigraphic scheme, compiling a drill-hole database, and constructing detailed geologic and hydrostratigraphic cross sections and subsurface maps. The more than 100 stratigraphic units in the model area were grouped into 43 hydrostratigraphic units based on each unit's propensity toward aquifer or aquitard characteristics. The authors organized the volcanic units in the model area into 35 hydrostratigraphic units that include 16 aquifers, 12 confining units, 2 composite units (a mixture of aquifer and confining units), and 5 intrusive

  6. Estudo da sorção de tensoativos orgânicos em argilas bentoníticas

    Directory of Open Access Journals (Sweden)

    D. L. da Silva

    Full Text Available Resumo Técnicas que envolvem a obtenção de argilas organofílicas vêm sendo estudadas por diversos pesquisadores, com o intuito de otimizar o processo de obtenção e garantir um produto de melhor qualidade. Todo estudo está embasado no fato dessas argilas apresentarem uma vasta gama de aplicações na engenharia. Porém, trabalhos que enfatizam o estudo químico desses processos atualmente são pouco frequentes. Desta forma, o principal objetivo deste trabalho foi estudar a sorção de tensoativos iônicos e não iônicos em argilas bentoníticas. No processo de organofilização utilizou-se a argila Brasgel, sendo organofilizada com dois tensoativos, o TA 50 (com 100% de matéria ativa e o WB (com 81,26% de matéria ativa. Nas dispersões foram utilizadas cinco concentrações porcentuais em massa de diferentes argilas variando de 3,16% a 7,16%. Cada concentração de argila foi organofilizada com quatro concentrações de tensoativo. As isotermas de sorção foram construídas através dos dados de termogravimetria e ajustadas ao modelo linear e de Freundlich. A partir das isotermas inferiu-se que os mecanismos envolvidos na sorção são a adsorção em multicamada (para os dois tensoativos utilizados e a adsorção cooperativa (apenas para o WB, sendo o teor de argila com maior capacidade de sorção o de 3,16%.

  7. Decreased mortality of abdominal aortic aneurysms in a peripheral county

    DEFF Research Database (Denmark)

    Lindholt, Jes Sanddal; Henneberg, E W; Fasting, H

    1995-01-01

    To analyse the effect on the mortality associated with abdominal aortic aneurysms, due to the establishment of a decentralised vascular surgical unit in the county of Viborg.......To analyse the effect on the mortality associated with abdominal aortic aneurysms, due to the establishment of a decentralised vascular surgical unit in the county of Viborg....

  8. Phase II Contaminant Transport Parameters for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 98: Frenchman Flat, Nye County, Nevada, Rev. No.: 0

    Energy Technology Data Exchange (ETDEWEB)

    DeNovio, Nicole M.; Bryant, Nathan; King, Chrissi B.; Bhark, Eric; Drellack, Sigmund L.; Pickens, John F.; Farnham, Irene; Brooks, Keely M.; Reimus, Paul; Aly, Alaa

    2005-04-01

    This report documents pertinent transport data and data analyses as part of the Phase II Corrective Action Investigation (CAI) for Frenchman Flat (FF) Corrective Action Unit (CAU) 98. The purpose of this data compilation and related analyses is to provide the primary reference to support parameterization of the Phase II FF CAU transport model.

  9. Phase II Hydrologic Data for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 98: Frenchman Flat, Nye County, Nevada, Rev. No.: 0

    Energy Technology Data Exchange (ETDEWEB)

    John McCord

    2004-12-01

    This report documents pertinent hydrologic data and data analyses as part of the Phase II Corrective Action Investigation (CAI) for Frenchman Flat (FF) Corrective Action Unit (CAU): CAU 98. The purpose of this data compilation and related analyses is to provide the primary reference to support the development of the Phase II FF CAU groundwater flow model.

  10. An Archaeological Reconnaissance of Proposed Levees, Water-Oriented Recreation Facilities and Borrow Areas Downstream from the Harry S. Truman Dam and Reservoir, Benton County, Missouri: 1980

    Science.gov (United States)

    1988-01-01

    major migratory waterfowl flyway, and projected yields of nuts and other economi- cally important plant species in the Pomme de Terre valley appear to...the valleys are broader. The confluence of the Osage and Pomme de Terre rivers is about 14 river miles upstream or about 4.5 air miles to the...the mouth of the Pomme de Terre River (McMillan 1976a:38), served as an over- flow stopover for migratory waterfowl indegenous to the Mississippi

  11. Aerial Photography and Imagery, Ortho-Corrected, Rural areas, Published in 2005, 1:4800 (1in=400ft) scale, Benton County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Orthoimagery information as of...

  12. Assessment of the Species Composition, Densities, and Distribution of Native Freshwater Mussels along the Benton County Shoreline of the Hanford Reach, Columbia River, 2004

    Energy Technology Data Exchange (ETDEWEB)

    Mueller, Robert P.; Tiller, Brett L.; Bleich, Matthew D.; Turner, Gerald; Welch, Ian D.

    2011-01-31

    The Hanford Reach of the Columbia River is the last unimpounded section of the river and contains substrate characteristics (cobble, gravel, sand/silt) suitable for many of the native freshwater mussels known to exist in the Pacific Northwest. Information concerning the native mussel species composition, densities, and distributions in the mainstem of the Columbia River is limited. Under funding from the U.S. Department of Energy Richland Operations Office (DOE-RL), Pacific Northwest National Laboratory conducted an assessment of the near-shore habitat on the Hanford Reach. Surveys conducted in 2004 as part of the Ecological Monitoring and Compliance project documented several species of native mussels inhabiting the near-shore habitat of the Hanford Reach. Findings reported here may be useful to resource biologists, ecologists, and DOE-RL to determine possible negative impacts to native mussels from ongoing near-shore remediation activities associated with Hanford Site cleanup. The objective of this study was to provide an initial assessment of the species composition, densities, and distribution of the freshwater mussels (Margaritiferidae and Unionidae families) that exist in the Hanford Reach. Researchers observed and measured 201 live native mussel specimens. Mussel density estimated from these surveys is summarized in this report with respect to near-shore habitat characteristics including substrate size, substrate embeddedness, relative abundance of aquatic vegetation, and large-scale geomorphic/hydrologic characteristics of the Hanford Reach.

  13. A Hydrostratigraphic System for Modeling Groundwater Flow and Radionuclide Migration at the Corrective Action Unit Scale, Nevada Test Site and Surrounding Areas, Clark, Lincoln, and Nye Counties, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Prothro, Lance; Drellack Jr., Sigmund; Mercadante, Jennifer

    2009-01-31

    Underground Test Area (UGTA) corrective action unit (CAU) groundwater flow and contaminant transport models of the Nevada Test Site (NTS) and vicinity are built upon hydrostratigraphic framework models (HFMs) that utilize the hydrostratigraphic unit (HSU) as the fundamental modeling component. The delineation and three-dimensional (3-D) modeling of HSUs within the highly complex geologic terrain that is the NTS requires a hydrostratigraphic system that is internally consistent, yet flexible enough to account for overlapping model areas, varied geologic terrain, and the development of multiple alternative HFMs. The UGTA CAU-scale hydrostratigraphic system builds on more than 50 years of geologic and hydrologic work in the NTS region. It includes 76 HSUs developed from nearly 300 stratigraphic units that span more than 570 million years of geologic time, and includes rock units as diverse as marine carbonate and siliciclastic rocks, granitic intrusives, rhyolitic lavas and ash-flow tuffs, and alluvial valley-fill deposits. The UGTA CAU-scale hydrostratigraphic system uses a geology-based approach and two-level classification scheme. The first, or lowest, level of the hydrostratigraphic system is the hydrogeologic unit (HGU). Rocks in a model area are first classified as one of ten HGUs based on the rock’s ability to transmit groundwater (i.e., nature of their porosity and permeability), which at the NTS is mainly a function of the rock’s primary lithology, type and degree of postdepositional alteration, and propensity to fracture. The second, or highest, level within the UGTA CAU-scale hydrostratigraphic system is the HSU, which is the fundamental mapping/modeling unit within UGTA CAU-scale HFMs. HSUs are 3-D bodies that are represented in the finite element mesh for the UGTA groundwater modeling process. HSUs are defined systematically by stratigraphically organizing HGUs of similar character into larger HSUs designations. The careful integration of

  14. Flood Assessment at the Area 5 Radioactive Waste Management Site and the Proposed Hazardous Waste Storage Unit, DOE/Nevada Test Site, Nye County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Schmeltzer, J. S.; Millier, J. J.; Gustafson, D. L.

    1993-01-01

    A flood assessment at the Radioactive Waste Management Site (RWMS) and the proposed Hazardous Waste Storage Unit (HWSU) in Area 5 of the Nevada Test Site (NTS) was performed to determine the 100-year flood hazard at these facilities. The study was conducted to determine whether the RWMS and HWSU are located within a 100-year flood hazard as defined by the Federal Emergency Management Agency, and to provide discharges for the design of flood protection.

  15. Forest statistics for North Mississippi counties - 1994

    Science.gov (United States)

    Joanne L. Faulkner; Patrick E. Miller; Andrew J. Hartsell; Jack D. London

    1993-01-01

    Tabulated results were derived from data obtained during a 1994 forest inventory of north Mississippi counties (fig. 1). Field work was conducted from December 1992 to May 1993. Core tables 1 through 25 were compatible among Forest Inventory and Analysis (FIA) units in the Eastern United States, Supplemental tables 26 through 44 provide information beyond that provided...

  16. Forest statistics for Southwest Mississippi counties - 1994

    Science.gov (United States)

    Joanne L. Faulkner; Andrew J. Hartsell; Jack D. London

    1995-01-01

    Tabulated results were derived from data obtained during a 1994 forest inventory of southwest Mississippi counties (fig. I). These data are considered preliminary. Field work was conducted from February to august 1994. Core tables 1 through 25 are compatible among forest Inventory and Analysis (FIA) units in the Eastern United States. Supplemental tables 26 through 44...

  17. 76 FR 43374 - CSX Transportation, Inc.; Abandonment Exemption; in Hardin County, OH

    Science.gov (United States)

    2011-07-20

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Surface Transportation Board CSX Transportation, Inc.; Abandonment Exemption; in Hardin County, OH CSX... Street and Champion Court, in Kenton, Hardin County, Ohio. The line traverses United States...

  18. Hydrogeology of Webb County, Texas

    Science.gov (United States)

    Lambert, Rebecca B.

    2004-01-01

    Introduction: Webb County, in semiarid South Texas on the U.S.-Mexico border, is a region confronted by increasing stresses on natural resources. Laredo (fig. 1), the largest city in Webb County (population 193,000 in 2000), was one of the 10 fastest-growing metropolitan areas in the country during 1990-2000 (Perry and Mackun, 2001). Commercial and industrial activities have expanded throughout the region to support the maquiladora industry (manufacturing plants in Mexico) along the border and other growth as a result of the passage of the North American Free Trade Agreement. The Rio Grande currently (2002) is the primary source of public water supply for Laredo and other cities along the border in Webb County (fig. 1). Other cities, such as Bruni and Mirando City in the southeastern part of the county, rely on ground-water supplies to meet municipal demands. Increased water demand associated with development and population growth in the region has increased the need for the City of Laredo and Webb County to evaluate alternative water sources to meet future demand. Possible options include (1) supplementing the surface-water supply with ground water, and (2) applying artificial storage and recovery (ASR) technology to recharge local aquifers. These options raise issues regarding the hydraulic capability of the aquifers to store economically substantial quantities of water, current or potential uses of the resource, and possible effects on the quality of water resulting from mixing ground water with alternative source waters. To address some of these issues, the U.S. Geological Survey (USGS), in cooperation with the City of Laredo, began a study in 1996 to assess the ground-water resources of Webb County. A hydrogeologic study was conducted to review and analyze available information on the hydrogeologic units (aquifers and confining units) in Webb County, to locate available wells in the region with water-level and water-quality information from the aquifers, and

  19. Framework for a Risk-Informed Groundwater Compliance Strategy for Corrective Action Unit 98: Frenchman Flat, Nevada National Security Site, Nye County, Nevada, Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Marutzky, Sam

    2010-09-01

    Note: This document was prepared before the NTS was renamed the Nevada National Security Site (August 23, 2010); thus, all references to the site herein remain NTS. Corrective Action Unit (CAU) 98, Frenchman Flat, at the Nevada Test Site (NTS) was the location of ten underground nuclear tests between 1965 and 1971. As a result, radionuclides were released in the subsurface in the vicinity of the test cavities. Corrective Action Unit 98 and other CAUs at the NTS and offsite locations are being investigated. The Frenchman Flat CAU is one of five Underground Test Area (UGTA) CAUs at the NTS that are being evaluated as potential sources of local or regional impact to groundwater resources. For UGTA sites, including Frenchman Flat, contamination in and around the test cavities will not be remediated because it is technologically infeasible due to the depth of the test cavities (150 to 2,000 feet [ft] below ground surface) and the volume of contaminated groundwater at widely dispersed locations on the NTS. Instead, the compliance strategy for these sites is to model contaminant flow and transport, estimate the maximum spatial extent and volume of contaminated groundwater (over a period of 1,000 years), maintain institutional controls, and restrict access to potentially contaminated groundwater at areas where contaminants could migrate beyond the NTS boundaries.

  20. Modeling Approach/Strategy for Corrective Action Unit 99: Rainier Mesa and Shoshone Mountain, Nevada Test Site, Nye County, Nevada, Revision 1, with ROTC-1

    Energy Technology Data Exchange (ETDEWEB)

    Greg Ruskauff

    2008-06-01

    This document describes an approach for preliminary (Phase I) flow and transport modeling for the Rainier Mesa/Shoshone Mountain (RMSM) Corrective Action Unit (CAU). This modeling will take place before the planned Phase II round of data collection to better identify the remaining data gaps before the fieldwork begins. Because of the geologic complexity, limited number of borings, and large vertical gradients, there is considerable uncertainty in the conceptual model for flow; thus different conceptual models will be evaluated, in addition to different framework and recharge models. The transport simulations will not be used to formally calculate the Contaminant Boundary at this time. The modeling (Phase II) will occur only after the available data are considered sufficient in scope and quality.

  1. Phase II Groundwater Flow Model of Corrective Action Unit 98: Frenchman Flat, Nevada Test Site, Nye County, Nevada, Rev. No.: 0

    Energy Technology Data Exchange (ETDEWEB)

    John McCord

    2006-05-01

    The Phase II Frenchman Flat groundwater flow model is a key element in the ''Federal Facility Agreement and Consent Order'' (FFACO) (1996) corrective action strategy for the Underground Test Area (UGTA) Frenchman Flat corrective action unit (CAU). The objective of this integrated process is to provide an estimate of the vertical and horizontal extent of contaminant migration for each CAU to predict contaminant boundaries. A contaminant boundary is the model-predicted perimeter that defines the extent of radionuclide-contaminated groundwater from underground testing above background conditions exceeding the ''Safe Drinking Water Act'' (SDWA) standards. The contaminant boundary will be composed of both a perimeter boundary and a lower hydrostratigraphic unit (HSU) boundary. The computer model will predict the location of this boundary within 1,000 years and must do so at a 95 percent level of confidence. Additional results showing contaminant concentrations and the location of the contaminant boundary at selected times will also be presented. These times may include the verification period, the end of the five-year proof-of-concept period, as well as other times that are of specific interest. This report documents the development and implementation of the groundwater flow model for the Frenchman Flat CAU. Specific objectives of the Phase II Frenchman Flat flow model are to: (1) Incorporate pertinent information and lessons learned from the Phase I Frenchman Flat CAU models. (2) Develop a three-dimensional (3-D), mathematical flow model that incorporates the important physical features of the flow system and honors CAU-specific data and information. (3) Simulate the steady-state groundwater flow system to determine the direction and magnitude of groundwater fluxes based on calibration to Frenchman Flat hydrogeologic data. (4) Quantify the uncertainty in the direction and magnitude of groundwater flow due to uncertainty in

  2. Integrated geological and engineering characterization of an Upper Permian, carbonate reservoir, South Cowden unit, Ector County Texas -- a work in progress

    Energy Technology Data Exchange (ETDEWEB)

    Gerard, M.G.; Johnson, J.V.; Snow, S.C. [Phillips Petroleum Company, Odessa, TX (United States)] [and others

    1995-09-01

    South Cowden Unit, located on the eastern margin of the Central Basin Platform, has produced 35 million barrels of oil since initial development in the late 1940`s. The Unit, under waterflood since 1965, has been proposed for a CO{sub 2} flood using horizontal injection wells. A team of geologists and engineers was formed to characterize the reservoir. The early and complete integration of geologic and engineering work has resulted in a detailed reservoir description to be used in reservoir simulation. Regional mapping and 3D seismic data indicate that sediments within the reservoir interval were draped over a paleohigh resulting in an unfaulted, anticlinal-like structure. A field-wide stratigraphic framework was developed using two to four-foot thick, gamma-ray log markers which correspond to low permeability, sandy dolomite layers recognized in core. These log correlations indicate fairly simple and uniform structure and stratigraphy. The gamma-ray markers delineate four zones within the 150 foot reservoir interval. Rocks composing these zones are extensively dolomitized and display a complex color mottling. This mottling is related most likely to bioturbation of carbonate sediments in a shallow, subtidal marine environment. Extensive and interconnected bioturbated areas have core analysis porosities averaging approximately 20% and permeabilities generally ranging from 2 to 350 md. The intervening, nonburrowed and unstained areas have porosities averaging 5% and permeabilities typically ranging form 0.01 to 2 md. Variations in the quality and thickness of the mottled facies are major parameters controlling oil recovery. A belt of better reservoir-quality rock runs roughly parallel to structure and results in an area of higher cumulative oil production. Good waterflood response and uniform pressure distribution indicate continuity of the pay zones within this belt.

  3. Hydrogeologic characteristics and water quality of a confined sand unit in the surficial aquifer system, Hunter Army Airfield, Chatham County, Georgia

    Science.gov (United States)

    Gonthier, Gerard J.

    2012-01-01

    An 80-foot-deep well (36Q397, U.S. Geological Survey site identification 320146081073701) was constructed at Hunter Army Airfield to assess the potential of using the surficial aquifer system as a water source to irrigate a ballfield complex. A 300-foot-deep test hole was drilled beneath the ballfield complex to characterize the lithology and water-bearing characteristics of sediments above the Upper Floridan aquifer. The test hole was then completed as well 36Q397 open to a 19-foot-thick shallow, confined sand unit contained within the surficial aquifer system. A single-well, 24-hour aquifer test was performed by pumping well 36Q397 at a rate of 50 gallons per minute during July 13-14, 2011, to characterize the hydrologic properties of the shallow, confined sand unit. Two pumping events prior to the aquifer test affected water levels. Drawdown during all three pumping events and residual drawdown during recovery periods were simulated using the Theis formula on multiple changes in discharge rate. Simulated drawdown and residual drawdown match well with measured drawdown and residual drawdown using values of horizontal hydraulic conductivity and specific storage, which are typical for a confined sand aquifer. Based on the hydrologic parameters used to match simulated drawdown and residual drawdown to measured drawdown and residual drawdown, the transmissivity of the sand was determined to be about 400 feet squared per day. The horizontal hydraulic conductivity of the sand was determined to be about 20 feet per day. Analysis of a water-quality sample indicated that the water is suitable for irrigation. Sample analysis indicated a calcium-carbonate type water having a total dissolved solids concentration of 39 milligrams per liter. Specific conductance and concentrations of all analyzed constituents were below those that would be a concern for irrigation, and were below primary and secondary water-quality criteria levels.

  4. Addendum for the Phase I Hydrologic Data for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 97: Yucca Flat/Climax Mine, Nevada Test Site, Nye County, Nevada, Revision 0 (page changes)

    Energy Technology Data Exchange (ETDEWEB)

    John McCord

    2007-05-01

    This document, which makes changes to Phase I Hydrologic Data for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 97: Yucca Flat/Climax Mine, Nevada Test Site, Nye County, Nevada, S-N/99205--077, Revision 0 (June 2006), was prepared to address review comments on this final document provided by the Nevada Division of Environmental Protection (NDEP) in a letter dated August 4, 2006. The document includes revised pages that address NDEP review comments and comments from other document users. Change bars are included on these pages to identify where the text was revised. In addition to the revised pages, the following clarifications are made for the two plates inserted in the back of the document: • Plate 4: Disregard the repeat of legend text ‘Drill Hole Name’ and ‘Drill Hole Location’ in the lower left corner of the map. • Plate 6: The symbol at the ER-16-1 location (white dot on the lower left side of the map) is not color-coded because no water level has been determined. The well location is included for reference. • Plate 6: The symbol at the ER-12-1 location (upper left corner of the map), a yellow dot, represents the lower water level elevation. The higher water level elevation, represented by a red dot, was overprinted.

  5. 78 FR 1935 - Union Pacific Railroad Company-Abandonment and Discontinuance Exemption-in Cameron County, TX...

    Science.gov (United States)

    2013-01-09

    ... Cameron County, TX; Brownsville and Matamoras Bridge Company--Abandonment Exemption--in Cameron County, TX... distance of 7.98 miles in Cameron County, Tex. (collectively, the Line). The Line traverses United States...'s Brownsville Subdivision will be transferred to Cameron County, Tex., and/or the City of...

  6. Archaeological investigations at a toolstone source area and temporary camp: Sample Unit 19-25, Nevada Test Site, Nye County, Nevada. Technical report No. 77

    Energy Technology Data Exchange (ETDEWEB)

    Jones, R.C.; DuBarton, A.; Edwards, S.; Pippin, L.C.; Beck, C.M.

    1993-12-31

    Archaeological investigations were initiated at Sample Unit 19--25 to retrieve information concerning settlement and subsistence data on the aboriginal hunter and gatherers in the area. Studies included collection and mapping of 35.4 acres at site 26NY1408 and excavation and mapping of 0.02 acres at site 26NY7847. Cultural resources include two rock and brush structures and associated caches and a large lithic toolstone source area and lithic artifact scatter. Temporally diagnostic artifacts indicate periodic use throughout the last 12,000 years; however dates associated with projectile points indicate most use was in the Middle and Late Archaic. Radiocarbon dates from the rock and brush structures at site 26NY7847 indicate a construction date of A.D. 1640 and repair between A.D. 1800 and 1950 for feature 1 and between A.D. 1330 and 1390 and repair at A.D. 1410 for feature 2. The dates associated with feature 2 place its construction significantly earlier than similar structures found elsewhere on Pahute Mesa. Activity areas appear to reflect temporary use of the area for procurement of available lithic and faunal resources and the manufacture of tools.

  7. Allegheny County TIF Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax Increment Financing (TIF) outline parcels for Allegheny County, PA. TIF closing books contain all necessary documentation related to a TIF in order to close on...

  8. Allegheny County TIF Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax Increment Financing (TIF) outline parcels for Allegheny County, PA. TIF closing books contain all necessary documentation related to a TIF in order to close on...

  9. Allegheny County Property Assessments

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Real Property parcel characteristics for Allegheny County, PA. Includes information pertaining to land, values, sales, abatements, and building characteristics (if...

  10. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary...

  11. Allegheny County Parks Outlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the size and shape of the nine Allegheny County parks. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  12. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road,...

  13. Allegheny County Depression Medication

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway...

  14. Allegheny County Diabetes Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data includes the number of people hospitalized with diabetes between 2013-2015, by age group, for Allegheny County Zip Codes.

  15. Allegheny County Plumbers

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — All master plumbers must be registered with the Allegheny County Health Department. Only Registered Master Plumbers who possess a current plumbing license or...

  16. Allegheny County Dam Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the point locations of dams in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  17. Westmoreland County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Westmoreland County from 2011 to 2015. Fields include injury severity,...

  18. Allegheny County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Allegheny County from 2004 to 2015. Fields include injury severity,...

  19. Beaver County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Beaver County from 2011 to 2015. Fields include injury severity, fatalities,...

  20. Washington County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Washington County from 2011 to 2015. Fields include injury severity,...

  1. Allegheny County Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of the street centerlines for vehicular and foot traffic in Allegheny County. Street Centerlines are classified as Primary Road,...

  2. Allegheny County Obesity Rates

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Obesity rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the...

  3. Allegheny County Major Rivers

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains locations of major rivers that flow through Allegheny County. These shapes have been taken from the Hydrology dataset. The Ohio River,...

  4. Allegheny County Boundary

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the Allegheny County boundary. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  5. Allegheny County Smoking Rates

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Smoking rates for each Census Tract in Allegheny County were produced for the study “Developing small-area predictions for smoking and obesity prevalence in the...

  6. Allegheny County Hospitals

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The data on health care facilities includes the name and location of all the hospitals and primary care facilities in Allegheny County. The current listing of...

  7. Taos County Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Vector line shapefile under the stewardship of the Taos County Planning Department depicting roads in Taos County, New Mexico. Originally under the Emergency...

  8. Allegheny County Homicides

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The dataset has location information on homicides that occurred in Allegheny County from 2002-2014. Age group, gender, and race and year of death have been...

  9. Allegheny County Parcel Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains parcel boundaries attributed with county block and lot number. Use the Property Information Extractor for more control downloading a filtered...

  10. Allegheny County Property Viewer

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Webmap of Allegheny municipalities and parcel data. Zoom for a clickable parcel map with owner name, property photograph, and link to the County Real Estate website...

  11. Allegheny County Tobacco Vendors

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The tobacco vendor information provides the location of all tobacco vendors in Allegheny County in 2015. Data was compiled from administrative records managed by...

  12. Allegheny County Asbestos Permits

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Asbestos permit data issued by the County for commercial building demolitions and renovations as required by the EPA. This file is updated daily and can be...

  13. Allegheny County Anxiety Medication

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — These Census Tract-level datasets described here provide de-identified diagnosis data for customers of three managed care organizations in Allegheny County (Gateway...

  14. Butler County Crash Data

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Contains locations and information about every crash incident reported to the police in Butler County from 2011 to 2015. Fields include injury severity, fatalities,...

  15. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data provides hypertension prevalence data for each Zip Code in Allegheny County. The information was produced by Pennsylvania Health Care Cost Containment...

  16. Allegheny County Traffic Counts

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Traffic sensors at over 1,200 locations in Allegheny County collect vehicle counts for the Pennsylvania Department of Transportation. Data included in the Health...

  17. 添加剂在膨润土润滑脂中的应用%Application of Additives in Bentone Grease

    Institute of Scientific and Technical Information of China (English)

    宋翊彬; 冯乐刚; 续景

    2011-01-01

    The preparation technology of bentone grease is described.Different types of antioxidants,extreme pressure anti-wear agent,rust inhibitor and preservatives were added into the base grease.By adopting "self-established" oxidation stability method to examine the properties of antioxidants,using four-ball testing machine which can test their P B and P D to observe the extreme-pressure anti-wear property,and employing GB/T 5018 and GB/T 7326 to investigate the anti-rust and anti-corrosion properties,the proper additives were selected to meet the requirements of bentone grease.%文章介绍了膨润土润滑脂的制备工艺,通过在膨润土基础脂中加入不同类型抗氧剂、极压抗磨剂和防锈防腐剂。采用"自拟"建立氧化安定性,考察抗氧剂在基础脂中抗氧化性能;采用四球机测试其PB和PD,考察极压抗磨剂在基础脂中的抗磨极压性能;采用GB/T 5018和GB/T 7326,考察防锈防腐蚀剂在基础脂中防锈防腐蚀特性。最后甄选满足膨润土基础润滑脂抗氧、极压抗磨和防锈防腐蚀的添加剂类型。

  18. Morris County Improvement Authority, Morris County, New Jersey Renewable Energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Bonanni, John [Chair, Morris County Improvement Authority

    2013-05-01

    The Morris County Improvement Authority (Authority), a public body corporate and politic of the State of New Jersey and created and controlled by the County, at the direction of the County and through the Program guaranteed by the County, financed 3.2 MW of solar projects (Solar Projects) at fifteen (15) sites for seven (7) local government units (Local Units) in and including the County. The Program uses a Power Purchase Agreement (PPA) structure, where the Solar Developer constructs, operates and maintains all of the Solar Projects, for the benefit of the Local Units and the Authority, for the maximum State law allowable PPA period of fifteen (15) years. Although all fifteen (15) sites were funded by the Authority, only the Mennen Arena site was considered for the purposes of the required local match funding for this grant. Specifically at the Mennen Arena site, the Authority financed 1.6 MW of solar panels. On October 18, 2013, the DOE Grant was drawn down following completion of the necessary application documents and final execution of an agreement memorializing the contemplated transaction by the Local Units, the County, The Authority and the solar developer. The proceeds of the DOE Grant were then applied to reduce the PPA price to all Local Units across the program and increase the savings from approximately 1/3 to almost half off the existing and forecasted utility pricing over the fifteen (15) year term, without adversely affecting all of the other benefits. With the application of the rate buy down, the price of electricity purchased under the PPA dropped from 10.9 to 7.7 cents/kWh. This made acquisition of renewable energy much more affordable for the Local Units, and it enhanced the success of the program, which will encourage other counties and local units to develop similar programs.

  19. Groundwater Flow Model of Corrective Action Units 101 and 102: Central and Western Pahute Mesa, Nevada Test Site, Nye County, Nevada, Revision 0

    Energy Technology Data Exchange (ETDEWEB)

    Greg Ruskauff

    2006-06-01

    The Pahute Mesa groundwater flow model supports the FFACO UGTA corrective action strategy objective of providing an estimate of the vertical and horizontal extent of contaminant migration for each CAU in order to predict contaminant boundaries. A contaminant boundary is the model-predicted perimeter that defines the extent of radionuclide-contaminated groundwater from underground nuclear testing above background conditions exceeding Safe Drinking Water Act (SDWA) standards. The contaminant boundary will be composed of both a perimeter boundary and a lower hydrostratigraphic unit (HSU) boundary. Additional results showing contaminant concentrations and the location of the contaminant boundary at selected times will also be presented. These times may include the verification period, the end of the five-year proof-of-concept period, as well as other times that are of specific interest. The FFACO (1996) requires that the contaminant transport model predict the contaminant boundary at 1,000 years and “at a 95% level of confidence.” The Pahute Mesa Phase I flow model described in this report provides, through the flow fields derived from alternative hydrostratigraphic framework models (HFMs) and recharge models, one part of the data required to compute the contaminant boundary. Other components include the simplified source term model, which incorporates uncertainty and variability in the factors that control radionuclide release from an underground nuclear test (SNJV, 2004a), and the transport model with the concomitant parameter uncertainty as described in Shaw (2003). The uncertainty in all the above model components will be evaluated to produce the final contaminant boundary. This report documents the development of the groundwater flow model for the Central and Western Pahute Mesa CAUs.

  20. Jefferson County Bio-energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Yates, Wade [Jefferson County Colorado, Golden, CO (United States)

    2006-06-01

    The Jefferson County Bio-energy Initiative (JCBI) seeks to develop economically viable market outlets for forest thinning biomass through the creation of new businesses and public-private sector partnerships, while simultaneously reducing the risk of catastrophic fires and associated costs and damages. Jefferson County has a strong interest in cooperating with the United States Forest Service (USFS) and private industry to help create the infrastructure that will reduce the barriers to new bio-energy markets due to logistical concerns over long-term forest biomass supply availability. Jefferson County believes that developing a site that allows for the creation of a large central biomass-processing facility will help reduce the costs and risks associated with supply uncertainty. The JCBI will operate as a cooperative between public and private sector entities, with Jefferson County acting as facilitator and not as a competitor.

  1. 75 FR 67806 - Environmental Impact Statement; Nueces County, TX

    Science.gov (United States)

    2010-11-03

    ... Federal Highway Administration Environmental Impact Statement; Nueces County, TX AGENCY: Federal Highway... proposed improvements to United States Highway 181/State Highway 286 (Crosstown Expressway), in Nueces... Nueces County, Texas. The project limits were defined as the limits of the schematic design. The...

  2. 77 FR 12830 - Pershing County Water Conservation District; Notice of Intent To File License Application, Filing...

    Science.gov (United States)

    2012-03-02

    ... Pershing County, Nevada. The project occupies 0.01 acre of United States lands administered by the Bureau... Energy Regulatory Commission Pershing County Water Conservation District; Notice of Intent To File....: 14327-000. c. Date Filed: November 22, 2011. d. Submitted by: Pershing County Water...

  3. 77 FR 43656 - BNSF Railway Company-Abandonment Exemption-in Los Angeles County, CA

    Science.gov (United States)

    2012-07-25

    ... Surface Transportation Board BNSF Railway Company--Abandonment Exemption--in Los Angeles County, CA BNSF... Angeles County Metropolitan Transportation Authority (LACMTA), between milepost 7.95 (just north of West... the City of Los Angeles, Los Angeles County, Cal. (the line). The line traverses United States...

  4. Building America Best Practices Series - High-Performance Home Technologies: Guide to Determining Climate Regions by County

    Energy Technology Data Exchange (ETDEWEB)

    Baechler, Michael C. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Gilbride, Theresa L. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Cole, Pam C. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Hefty, Marye G. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Ruiz, Kathi [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2013-11-01

    This report identifies the climate region of each county in the United States. The report is intended as an aid in helping builders to identify the appropriate climate designation for the counties in which they are building.

  5. 75 FR 80894 - Delta Southern Railroad, Inc.-Abandonment Exemption-in Desha and Chicot Counties, Ark.

    Science.gov (United States)

    2010-12-23

    ... Chicot Counties, Ark. On December 6, 2010, Delta Southern Railroad, Inc. (DSR), filed with the Surface... or near Lake Village, in Desha and Chicot Counties, Ark. The line traverses United States...

  6. 75 FR 61731 - Combined Notice of Filings #2

    Science.gov (United States)

    2010-10-06

    ... County Wind Farm LLC. Description: Benton County Wind Farm LLC submits tariff filing per 35.12: Benton.... The filings in the above proceedings are accessible in the Commission's eLibrary system by clicking on...

  7. VT Boundaries - county polygons

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The BNDHASH dataset depicts Vermont villages, towns, counties, Regional Planning Commissions (RPC), and LEPC (Local Emergency Planning Committee)...

  8. Allegheny County Blazed Trails Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the location of blazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple...

  9. Allegheny County Zip Code Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the zip code boundaries that lie within Allegheny County. These are not clipped to the Allgeheny County boundary. If viewing this...

  10. Allegheny County Blazed Trails Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shows the location of blazed trails in all Allegheny County parks. This is the same data used in the Allegheny County Parks Trails Mobile App, available for Apple...

  11. Allegheny County Block Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original...

  12. Sheridan County Recreation Plan.

    Science.gov (United States)

    Webster, Elaine

    A pilot project investigating the feasibility of year-round recreational programs in rural counties of populations of less than 10,000 is described in this report. (Sheridan County, Kansas, was chosen as the project site.) Part I, the introductory section, briefly defines recreation and its relation to human needs. Part II provides a geographic…

  13. Allegheny County Block Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset overlays a grid on the County to assist in locating a parcel. The grid squares are 3,500 by 4,500 square feet. The data was derived from original...

  14. Allegheny County Watershed Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the 52 isolated sub-Watersheds of Allegheny County that drain to single point on the main stem rivers. Created by 3 Rivers 2nd Nature based...

  15. LANDSLIDES IN SUCEAVA COUNTY

    Directory of Open Access Journals (Sweden)

    Dan Zarojanu

    2017-07-01

    Full Text Available In the county of Suceava, the landslides are a real and permanent problem. This paper presents the observations of landslides over the last 30 years in Suceava County, especially their morphology, theirs causes and the landslide stopping measures. It presents also several details regarding the lanslides from the town of Suceava, of Frasin and the village of Brodina.

  16. Hancock County Awards Gala

    Science.gov (United States)

    2008-01-01

    Gene Goldman (left), deputy director of NASA's John C. Stennis Space Center, accepts an Award of Excellence from Jack Zink, executive director of the Hancock County Port and Harbor Commission, during the 2008 Annual Hancock County Awards Gala. The Award of Excellence was presented to recognize Stennis Space Center's contribution to NASA's 50 years of excellence in space exploration.

  17. Chester County ground-water atlas, Chester County, Pennsylvania

    Science.gov (United States)

    Ludlow, Russell A.; Loper, Connie A.

    2004-01-01

    Chester County encompasses 760 square miles in southeastern Pennsylvania. Groundwater- quality studies have been conducted in the county over several decades to address specific hydrologic issues. This report compiles and describes water-quality data collected during studies conducted mostly after 1990 and summarizes the data in a county-wide perspective. In this report, water-quality constituents are described in regard to what they are, why the constituents are important, and where constituent concentrations vary relative to geology or land use. Water-quality constituents are grouped into logical units to aid presentation: water-quality constituents measured in the field (pH, alkalinity, specific conductance, and dissolved oxygen), common ions, metals, radionuclides, bacteria, nutrients, pesticides, and volatile organic compounds.Waterquality constituents measured in the field, common ions (except chloride), metals, and radionuclides are discussed relative to geology. Bacteria, nutrients, pesticides, and volatile organic compounds are discussed relative to land use. If the U.S. Environmental Protection Agency (USEPA) or Chester County Health Department has drinkingwater standards for a constituent, the standards are included. Tables and maps are included to assist Chester County residents in understanding the water-quality constituents and their distribution in the county. Ground water in Chester County generally is of good quality and is mostly acidic except in the carbonate rocks and serpentinite, where it is neutral to strongly basic. Calcium carbonate and magnesium carbonate are major constituents of these rocks. Both compounds have high solubility, and, as such, both are major contributors to elevated pH, alkalinity, specific conductance, and the common ions. Elevated pH and alkalinity in carbonate rocks and serpentinite can indicate a potential for scaling in water heaters and household plumbing. Low pH and low alkalinity in the schist, quartzite, and

  18. Influência da hidrociclonagem e da secagem por spray dryer nas propriedades reológicas de argilas bentoníticas

    Directory of Open Access Journals (Sweden)

    V. C. Marques

    2015-09-01

    Full Text Available ResumoA exploração desordenada ao longo dos anos das argilas bentoníticas do município de Boa Vista, PB, resultou no esgotamento das variedades nobres. Assim, o que existe atualmente são bentonitas com elevado percentual de minerais acessórios, elementos contaminantes a exemplo do quartzo, os quais influem negativamente nas propriedades reológicas das dispersões. O presente trabalho propõe concentrar dispersões dessas argilas pouco nobres pela operação de hidrociclonagem e posterior secagem por spray dryer, visando à obtenção de amostras com valores de reologia de acordo com norma EP-1EP-00011-A da Petrobrás. Assim, preparou-se dispersões de três composições com as argilas Bofe, Chocolate, Verde-Lodo, Chocobofe e Sortida previamente selecionadas por planejamento experimental com concentrações de 4% em massa de argila para serem concentradas por hidrociclonagem. Os concentrados foram secos por spray dryer em duas condições de secagem. Os resultados evidenciaram a eficiência das operações de hidrociclonagem e secagem por spray dryer das misturas com notável melhoria nas propriedades reológicas.

  19. Italian normative data and validation of two neuropsychological tests of face recognition: Benton Facial Recognition Test and Cambridge Face Memory Test.

    Science.gov (United States)

    Albonico, Andrea; Malaspina, Manuela; Daini, Roberta

    2017-06-21

    The Benton Facial Recognition Test (BFRT) and Cambridge Face Memory Test (CFMT) are two of the most common tests used to assess face discrimination and recognition abilities and to identify individuals with prosopagnosia. However, recent studies highlighted that participant-stimulus match ethnicity, as much as gender, has to be taken into account in interpreting results from these tests. Here, in order to obtain more appropriate normative data for an Italian sample, the CFMT and BFRT were administered to a large cohort of young adults. We found that scores from the BFRT are not affected by participants' gender and are only slightly affected by participant-stimulus ethnicity match, whereas both these factors seem to influence the scores of the CFMT. Moreover, the inclusion of a sample of individuals with suspected face recognition impairment allowed us to show that the use of more appropriate normative data can increase the BFRT efficacy in identifying individuals with face discrimination impairments; by contrast, the efficacy of the CFMT in classifying individuals with a face recognition deficit was confirmed. Finally, our data show that the lack of inversion effect (the difference between the total score of the upright and inverted versions of the CFMT) could be used as further index to assess congenital prosopagnosia. Overall, our results confirm the importance of having norms derived from controls with a similar experience of faces as the "potential" prosopagnosic individuals when assessing face recognition abilities.

  20. Hydrogeologic framework of LaSalle County, Illinois

    Science.gov (United States)

    Kay, Robert T.; Bailey, Clinton R.

    2016-10-28

    Water-supply needs in LaSalle County in northern Illinois are met by surface water and groundwater. Water-supply needs are expected to increase to serve future residential and mining uses. Available information on water use, geology, surface-water and groundwater hydrology, and water quality provides a hydrogeologic framework for LaSalle County that can be used to help plan the future use of the water resources.The Illinois, Fox, and Vermilion Rivers are the primary surface-water bodies in LaSalle County. These and other surface-water bodies are used for wastewater disposal in the county. The Vermilion River is used as a drinking-water supply in the southern part of the county. Water from the Illinois and Fox Rivers also is used for the generation of electric power.Glacial drift aquifers capable of yielding sufficient water for public supply are expected to be present in the Illinois River Valley in the western part of the county, the Troy Bedrock Valley in the northwestern part of the county, and in the Ticona Bedrock Valley in the south-central part of the county. Glacial drift aquifers capable of yielding sufficient water for residential supply are present in most of the county, although well yield often needs to be improved by using large-diameter wells. Arsenic concentrations above health-based standards have been detected in some wells in this aquifer. These aquifers are a viable source for additional water supply in some areas, but would require further characterization prior to full development.Shallow bedrock deposits comprising the sandstone units of the Ancell Group, the Prairie du Chien Group, dolomite of the Galena and Platteville Groups, and Silurian-aged dolomite are utilized for water supply where these units are at or near the bedrock surface or where overlain by Pennsylvanian-aged deposits. The availability of water from the shallow bedrock deposits depends primarily on the geologic unit analyzed. All these deposits can yield sufficient water for

  1. Fayette County Better Buildings Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Capella, Arthur [County of Fayette, Uniontown, PA (United States)

    2015-03-04

    The Fayette County Better Buildings Initiative represented a comprehensive and collaborative approach to promoting and implementing energy efficiency improvements. The initiative was designed to focus on implementing energy efficiency improvements in residential units, while simultaneously supporting general marketing of the benefits of implementing energy efficiency measures. The ultimate goal of Fayette County’s Better Buildings Initiative was to implement a total of 1,067 residential energy efficiency retrofits with a minimum 15% estimated energy efficiency savings per unit. Program partners included: United States Department of Energy, Allegheny Power, and Private Industry Council of Westmoreland-Fayette, Fayette County Redevelopment Authority, and various local partners. The program was open to any Fayette County residents who own their home and meet the prequalifying conditions. The level of assistance offered depended upon household income and commitment to undergo a BPI – Certified Audit and implement energy efficiency measures, which aimed to result in at least a 15% reduction in energy usage. The initiative was designed to focus on implementing energy efficiency improvements in residential units, while simultaneously supporting general marketing of the benefits of implementing energy efficiency measures. Additionally, the program had components that involved recruitment and training for employment of persons in the energy sector (green jobs), as well as marketing and implementation of a commercial or community facilities component. The residential component of Fayette County’s Better Buildings Initiative involved a comprehensive approach, providing assistance to low- moderate- and market-rate homeowners. The initiative will also coordinate activities with local utility providers to further incentivize energy efficiency improvements among qualifying homeowners. The commercial component of Fayette County’s Better Building Initiative involved grants

  2. SURVEY, SOLANO COUNTY, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Solano County California, hydrographic survey data collected by Harned Surveying and Engineering (HSE). Data collection period January 1, 2011 through March 1, 2011.

  3. Allegheny County Hydrology Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  4. Allegheny County Sheriff Sales

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — List of properties up for auction at a Sheriff Sale. Datasets labeled "Current" contain this month's postings, while those labeled "Archive" contain a running list...

  5. Allegheny County Cemetery Outlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Outlines of public and private cemeteries greater than one acre in size. Areas were delineated following a generalized line along the outside edge of the area....

  6. Durham County Demographic Profile

    Data.gov (United States)

    City and County of Durham, North Carolina — (a) Includes persons reporting only one race.(b) Hispanics may be of any race, so also are included in applicable race categories. D: Suppressed to avoid disclosure...

  7. Allegheny County Hydrology Lines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  8. County Political Boundaries (National)

    Data.gov (United States)

    Department of Transportation — County boundaries with political limit - boundaries extending into the ocean (NTAD 2015). The TIGER/Line shapefiles and related database files (.dbf) are an extract...

  9. Minnesota County Boundaries

    Data.gov (United States)

    Minnesota Department of Natural Resources — Minnesota county boundaries derived from a combination of 1:24,000 scale PLS lines, 1:100,000 scale TIGER, 1:100,000 scale DLG, and 1:24,000 scale hydrography...

  10. Allegheny County Hydrology Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  11. Allegheny County Hydrology Lines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Hydrology Feature Dataset contains photogrammetrically compiled water drainage features and structures including rivers, streams, drainage canals, locks, dams,...

  12. Allegheny County Dog Licenses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A list of dog license dates, dog breeds, and dog name by zip code. Currently this dataset does not include City of Pittsburgh dogs.

  13. Evaluacion del comportamiento de las variedades industriales de fresa (Fragaria sp. totem y benton y de la variedad comercial chandler, en una localidad de la sabana de Bogotá

    Directory of Open Access Journals (Sweden)

    Camacho Luis Gustavo

    1997-06-01

    Full Text Available

    Con el fin de encontrar variedades de fresa (Fragaria sp. para la industria, se evaluó el comportamiento de las variedades industriales Totem y Benton bajo tratamientos de poda y no poda vs. Chandler como variedad testigo, en una localidad de la Sabana de Bogotá (Centro de Investigaciones y Asesorías Agroindustriales CIAA, en el municipio de Chía. EI diseño experimental utilizado fue completamente al azar con cinco tratamientos: Chandler, Totem, Totem con poda, Benton y Benton con poda, con cuatro repeticiones y 30 plantas muestra por unidad experimental. Las observaciones se registraron durante un año (Noviembre, 1993 a Noviembre, 1994 y se tomaron variables de las etapas vegetativa y reproductiva. La variedad de mejor comportamiento en la etapa vegetativa fue Totem, presentando hojas, coronas y estolones de mayor vigor y una producción cercana de la variedad testigo y un alto porcentaje de fruta de categoría 3, y este es un factor importante para la industria. En general, el fruto presenta características deseables para la industria. Esta variedad fue la de menor susceptibilidad a plagas y enfermedades. En general la variedad Benton no tuvo un buen comportamiento, presentando muy baja producción y un bajo porcentaje de fruta de categoría 3. EI fruto no mostro características deseables (maduración desuniforme y baja consistencia. Esta variedad presento alta susceptibilidad a plagas y enfermedades.

  14. 77 FR 14032 - John H. Chafee Coastal Barrier Resources System; Lee County, FL, and Newport County, RI...

    Science.gov (United States)

    2012-03-08

    ... by Lee County, and 1 restaurant. The Service's assessment of 2011 aerial imagery estimates that the... Unit FL-70P. A new discrete segment is proposed for inclusion within Unit FL-70P to add lands owned by the Gasparilla Island Conservation and Improvement Association. This new discrete segment is located...

  15. Edison Home Community Study Unit.

    Science.gov (United States)

    Lee County School District, Ft. Myers, FL. Dept. of Environmental Education and Instructional Development Services.

    History is not merely events that occurred in the past. The past has influenced the present, as the present will influence the future. The purpose of this community study unit is to provide fourth grade students with an opportunity to investigate some of the history of Lee County, Florida. The unit's focus is on Thomas Edison, who built a home in…

  16. Snohomish County Biodiesel Project

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Terrill; Carveth, Deanna

    2010-02-01

    Snohomish County in western Washington State began converting its vehicle fleet to use a blend of biodiesel and petroleum diesel in 2005. As prices for biodiesel rose due to increased demand for this cleaner-burning fuel, Snohomish County looked to its farmers to grow this fuel locally. Suitable seed crops that can be crushed to extract oil for use as biodiesel feedstock include canola, mustard, and camelina. The residue, or mash, has high value as an animal feed. County farmers began with 52 acres of canola and mustard crops in 2006, increasing to 250 acres and 356 tons in 2008. In 2009, this number decreased to about 150 acres and 300 tons due to increased price for mustard seed.

  17. Allegheny County Cell Tower Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays cell tower locations as points in Allegheny County. The dataset is based on outbuilding codes in the Property Assessment Parcel Database used...

  18. Valencia County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads in the county including interstate highways, State highways, county roads and some...

  19. Allegheny County Land Use Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Allegheny County land use as ascribed to areas of land. The Land Use Feature Dataset contains photogrammetrically compiled information concerning vegetation and...

  20. Allegheny County Cell Tower Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset portrays cell tower locations as points in Allegheny County. The dataset is based on outbuilding codes in the Property Assessment Parcel Database used...

  1. Allegheny County Mortgage Foreclosure Records

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data includes filings related to mortgage foreclosure in Allegheny County. The foreclosure process enables a lender to take possession of a property due to an...

  2. Allegheny County School District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the school district boundaries within Allegheny County If viewing this description on the Western Pennsylvania Regional Data Center’s open...

  3. Allegheny County Land Use Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Allegheny County land use as ascribed to areas of land. The Land Use Feature Dataset contains photogrammetrically compiled information concerning vegetation and...

  4. Allegheny County Commercial Vehicle Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset lists the locations and results of all commercial vehicle inspections performed by the Allegheny County Police Motor Carrier Safety Assistance Program...

  5. 2015 Lowndes County (GA) Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: NOAA OCM Lidar for Lowndes County, GA with the option to Collect Lidar in Cook and Tift Counties, GA Lidar Data Acquisition and Processing Production Task...

  6. Sonoma County, CA, 2013 Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sonoma County Vegetation Mapping and LiDAR Consortium retained WSI to provide lidar and Orthophoto data and derived products in Sonoma County, CA. A classified LAS...

  7. Allegheny County Property Sale Transactions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains data on all Real Property parcels that have sold since 2012 in Allegheny County, PA. Before doing any market analysis on property sales, check...

  8. Allegheny County Public Building Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of municipal facilities in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s...

  9. Allegheny County Public Building Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of municipal facilities in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open...

  10. Curry County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — Line attributes denoting all street centerlines in Curry County. Dataset includes all centerlines for all county maintained roads, all state and federal highways,and...

  11. Allegheny County Employee Salaries 2016

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Employee salaries are a regular Right to Know request the County receives. Here is the disclaimer language that is included with the dataset from the Open Records...

  12. TERRAIN, KENT COUNTY, RHODE ISLAND

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Kent AOI consists of the costal portion of the county, and meshes up seamlessly with the Providence county AOI directly north. Ground Control is collected...

  13. TERRAIN, PROVIDENCE COUNTY, RHODE ISLAND

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Providence AOI consists of the costal portion of the county, and meshes up seamlessly with the Kent county AOI directly south. Ground Control is collected...

  14. Allegheny County Fast Food Establishments

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Allegheny County Health Department has generated this list of fast food restaurants by exporting all chain restaurants without an alcohol permit from the...

  15. Allegheny County School District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates the school district boundaries within Allegheny County If viewing this description on the Western Pennsylvania Regional Data Center’s open...

  16. Grant County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads in the county including interstate highways, State highways, county roads and city...

  17. Allegheny County Addressing Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the road centerlines in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal...

  18. Allegheny County Summer Food Sites

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data set shows the Summer Food Sites located within Allegheny County for children (18 years and younger) for breakfast and lunch during summer recess. OPEN...

  19. Allegheny County Jail Daily Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A daily census of the inmates at the Allegheny County Jail (ACJ). Includes gender, race, age at booking, and current age. The records for each month contain a...

  20. Allegheny County Park Rangers Outreach

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Launched in June 2015, the Allegheny County Park Rangers program reached over 48,000 people in its first year. Park Rangers interact with residents of all ages and...

  1. Allegheny County Fatal Accidental Overdoses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Fatal accidental overdose incidents in Allegheny County, denoting age, gender, race, drugs present, zip code of incident and zip code of residence. Zip code of...

  2. Minnesota County Boundaries - lines

    Data.gov (United States)

    Minnesota Department of Natural Resources — Minnesota county boundaries derived from a combination of 1:24,000 scale PLS lines, 1:100,000 scale TIGER, 1:100,000 scale DLG, and 1:24,000 scale hydrography lines....

  3. Counties Without a Physician.

    Science.gov (United States)

    Getz, Virginia

    1982-01-01

    Uses a budgeting technique to determine if free-market incentives or forces would provide an economic base sufficient to support medical professionals who might practice in the approximately 140 U.S. counties that lack a physician (located mainly in a narrow band from west Texas north through South Dakota). (AH)

  4. Party Formation in the United States

    OpenAIRE

    2013-01-01

    This dissertation is about how political parties formed in the world's first mass democracy, the United States. I trace the process of party formation from the bottom up. First, I ask: How do individuals become engaged in politics and develop political affiliations? In most states, throughout the antebellum era, the county was the primary unit of political administration and electoral representation. Owing to their small size, contiguity, and economic homogeneity, I expect that each county's ...

  5. Cultural Resources Reconnaissance Inventory of Portions of the Eau Galle Recreation Area, St. Croix County, Wisconsin

    Science.gov (United States)

    1983-04-01

    near Dorchester, Clark County, Wis. ETC Engineering Inc. An archaeological survey of Copeland Park. City of La Crosse. An archaeological inspection of...Project participation included: i .. -Archaeological Inventory and Evaluation of Weston , Unit 3 Power Plant, N: Marathon County, Wisconsin

  6. 75 FR 41232 - Deer Flat National Wildlife Refuge, Canyon, Owyhee, Payette, and Washington Counties, ID; Malheur...

    Science.gov (United States)

    2010-07-15

    ... Fish and Wildlife Service Deer Flat National Wildlife Refuge, Canyon, Owyhee, Payette, and Washington...). The Refuge has units located in Canyon, Owyhee, Payette, and Washington Counties, ID, and Malheur... the Snake River located in Canyon, Payette, Owyhee, and Washington Counties in ID; and Malheur...

  7. 77 FR 1078 - San Pablo Bay National Wildlife Refuge, Sonoma, Napa, and Solano Counties, CA; Final...

    Science.gov (United States)

    2012-01-09

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF THE INTERIOR Fish and Wildlife Service San Pablo Bay National Wildlife Refuge, Sonoma, Napa, and Solano Counties, CA... Sonoma, Napa, and Solano Counties, California, consists of several noncontiguous units on...

  8. 76 FR 73776 - Wiregrass Central Railway, LLC-Abandonment Exemption-in Coffee County, AL

    Science.gov (United States)

    2011-11-29

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Surface Transportation Board Wiregrass Central Railway, LLC--Abandonment Exemption--in Coffee County, AL....2 in Enterprise, in Coffee County, Ala. (the line).\\1\\ The line traverses United States...

  9. Unclassified Source Term and Radionuclide Data for the Groundwater Flow and Contaminant Transport Model of Corrective Action Units 101 and 102: Central and Western Pahute Mesa, Nye County, Nevada, Revision 0

    Energy Technology Data Exchange (ETDEWEB)

    McCord, John

    2004-08-01

    This report documents the evaluation of the information and data available on the unclassified source term and radionuclide contamination for Central and Western Pahute Mesa: Corrective Action Units (CAUs) 101 and 102.

  10. DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- County boundaries for states represented in the study area

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system were developed to define an updated hydrogeologic framework as part...

  11. Polygons Representing Sensitivity of Ground Water to Contamination in Lawrence County, SD

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set includes 956 polygons labeled with a sensitivity-unit code that represents the sensitivity of ground water to contamination in Lawrence County, SD....

  12. Castleward, County Down

    OpenAIRE

    Fisher, Jonathan

    2008-01-01

    Fisher was a painter and engraver in Ireland, working after the Dutch and Italian landscape painting tradition. He is best known by engravings after his designs, of which a large number were produced during his career.[notes from Irish Paintings in the `National Gallery of Ireland?, 2001]The house depicted in the present painting is Castle Ward, located in County Down, Northern Ireland. The 18th century house is famed for its mixture of Classical and Gothic styles.

  13. Health-Related Conditions and Depression in Elderly Mexican American and Non-Hispanic White Residents of a United States-Mexico Border County: Moderating Effects of Educational Attainment

    Directory of Open Access Journals (Sweden)

    David F. Briones

    2011-01-01

    Full Text Available We investigated the prevalence of “high” levels of depressive symptomatology and 13 health-related medical conditions in elderly Mexican American (MA and non-Hispanic white (NHW residents of El Paso County, Texas. We analyzed the extent to which depressive symptoms in this population are associated with these conditions. Elderly MA residents possessed a higher prevalence of current depression, a relatively unique health-related condition profile, and were more likely to experience a set of conditions that impede participation in daily life—conditions that we found to be strongly associated with high depressive symptomatology in the elderly. After adjusting for educational attainment, using multiple regression analyses, depression was not associated with ethnicity and only six of the health related conditions showed significant differences between MA and NHW subjects. We believe these results provide an important insight into the mechanism of health-related conditions and depressive symptomatology in a large sample of elderly MAs; and how conditions typically attributed to MA ethnicity may in actuality be an artifact of socioeconomic status variables such as educational-attainment.

  14. Indiana Underground Railroad Folklore: Western Route and Daviess County.

    Science.gov (United States)

    Shelton, Lois G.

    Materials for teaching a unit about the Underground Railroad (the system set up to assist fleeing, runaway slaves heading north) in Indiana are presented. Specifically, the Western Route that passed through Daviess County in Indiana is examined. The materials provide background on the Underground Railroad and the Western Route, plans for teaching…

  15. 76 FR 36613 - Environmental Impact Statement; Nueces County, TX

    Science.gov (United States)

    2011-06-22

    ... Federal Highway Administration Environmental Impact Statement; Nueces County, TX AGENCY: Federal Highway... advise the public that an environmental impact statement (EIS) will be prepared for the proposed United... (SAFETEA-LU) and the National Environmental Policy Act (NEPA). FOR FURTHER INFORMATION CONTACT: Gregory...

  16. Tillage Practices in the Conterminous United States, 1989-2004--Datasets by Aggregated Watershed; ds573_tillage_lu01

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset is an aggregation of county-level tillage practices to the 8-digit hydrologic unit watershed. The original county-level data were collected by the...

  17. Tillage Practices in the Conterminous United States, 1989-2004--Datasets Aggregated by Watershed; tillage_lu92e

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset is an aggregation of county-level tillage practices to the 8-digit hydrologic unit watershed. The original county-level data were collected by the...

  18. Phase I Hydrologic Data for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 99: Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nye County, Nevada, Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Nathan Bryant

    2008-05-01

    This document presents a summary and framework of the available hydrologic data and other information directly relevant to the development of the Rainier Mesa/Shoshone Mountain (RMSM) Corrective Action Unit (CAU) 99 groundwater flow models. Where appropriate, data and information documented elsewhere are briefly summarized with reference to the complete documentation.

  19. Phase I Contaminant Transport Parameters for the Groundwater Flow and Contaminant Transport Model of Corrective Action Unit 99: Rainier Mesa/Shoshone Mountain, Nevada Test Site, Nye County, Nevada, Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Nathan Bryant

    2008-05-01

    This document presents a summary and framework of available transport data and other information directly relevant to the development of the Rainier Mesa/Shoshone Mountain (RMSM) Corrective Action Unit (CAU) 99 groundwater transport model. Where appropriate, data and information documented elsewhere are briefly summarized with reference to the complete documentation.

  20. Alba County - Rural Tourism Destination?

    Directory of Open Access Journals (Sweden)

    Claudia Olimpia Moisa

    2016-12-01

    Full Text Available The purpose of this paper is to identify the main rural touristic resources available in Alba County and also the preferred tourist destinations, highlighting the role and the importance of the rural tourism and agro-tourism in the economy of Alba County and, not least, identifying the main direction for its development and promotion. In other words, the aim of this paper is to answer the question "Is it or not Alba County a rural tourist destination?"

  1. CARPATHIANS ENDEMIC TAXA IN ARGEŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Valeriu Alexiu

    2013-12-01

    Full Text Available Endemic plant species are the biogeographic elements why use the delimitation of biogeographical regions. Their presence explains, in the context of identifying phyto-historical factors, distribution of species and certain distribution patterns. Endemic areas, with pronounced as the basic unit of biogeography, indicates those particular geographic region, both in the growth areas and the evolutionary biological processes of speciation.In this study we proposed the following objectives: knowing the list Carpathian endemic species and endemic centers present in Argeş, also, areas of endemism in the Carpathians Mountains of the Argeş County.

  2. Allegheny County Beltway System Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Authoritative dataset of the beltway system in Allegheny County. The system was developed to help motorists navigate through Allegheny County on low-traffic roads....

  3. 2015 Resident Survey (City and County)

    Data.gov (United States)

    City and County of Durham, North Carolina — The purpose of the annual City/County survey: To objectively assess citizen satisfaction with the delivery of City/County servicesTo set a baseline for future...

  4. 2016 Resident Survey (City and County)

    Data.gov (United States)

    City and County of Durham, North Carolina — The purpose of the annual City/County survey: To objectively assess citizen satisfaction with the delivery of City/County servicesTo set a baseline for future...

  5. The Bridges of Taishun County

    Institute of Scientific and Technical Information of China (English)

    MaJianhe

    2003-01-01

    The American film The Bridges of Madison County captured the imagination of many Chinese moviegoers with its bittersweet love story and scenes of rustic covered bridges. But the U.S. can't lay sole claim to such spectacular rural sights:China has its own county worldrenowned for unforgettable bridges.

  6. 2006 Fulton County Georgia Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Light Detection and Ranging (LiDAR) LAS dataset is a survey of Fulton County. The Fulton County LiDAR Survey project area consists of approximately 690.5 square...

  7. 江苏县域交通优势度的空间格局研究%SPATIAL PATTERN OF THE TRANSPORTATION SUPERIORITY DEGREE OF THE COUNTY-LEVEL ADMINISTRATIVE UNITS IN JIANGSU PROVINCE

    Institute of Scientific and Technical Information of China (English)

    蔡安宁; 梁进社; 李雪

    2013-01-01

    Transport plays an important role in the process of socio-economic development and the evolution of urban form. According to the calculating processes and assessment methods of transportation superiority degree in "The Technical Specification of Regional Division of Provincial Major Functional Zones",we used three indicators,traffic network density,traffic trunk influence value and location superiority degree. As to administrative division data, we used latest geographic database and statistical data of 62 counties of Jiang-su Province. Finally, base on the technology of GIS, we got the features and causes of spatial pattern of transportation superiority degree in Jiangsu Province. The results of the research showd that transportation superiority degree had a regional differentiation of "high in the south and low in the north" in Jiangsu Province. Transportation superiority degree appeared spatial autocorrelation. High value and low value areas were relatively assembled and mosaic distribution. Distribution of high value area was along the Shang-anjing line and the Yangtze River, while distribution of low value area was along the abandoned Yellow River, Hongze Lake and the coastal of Jiangsu. There was relatively close relationship between transportation superiority degree and the level of economic development at county level. The correlation coefficient reachesed 0. 798. Transportation superiority degree had a partial normal distribution statistically. 12. 1% of the area had outstanding transportation advantages and superior transport condition for socio-economic development. In contrast,2. 7% of the area had obvious disadvantages and inferior transport condition,and thus impeded local socio-economic development. The remaining areas, about 68% of the total countries, had a little bit better or a little bit lower than average level of transportation superiority degree. Based on the analysis above, we could recognize the spatial mechanism of transport infrastructure

  8. Geologic map of the Peach Orchard Flat quadrangle, Carbon County, Wyoming, and descriptions of new stratigraphic units in the Upper Cretaceous Lance Formation and Paleocene Fort Union Formation, eastern Greater Green River Basin, Wyoming-Colorado

    Science.gov (United States)

    Honey, J.D.; Hettinger, R.D.

    2004-01-01

    This report provides a geologic map of the Peach Orchard Flat 7.5-minute quadrangle, located along the eastern flank of the Washakie Basin, Wyo. Geologic formations and individual coal beds were mapped at a scale of 1:24,000; surface stratigraphic sections were measured and described; and well logs were examined to determine coal correlations and thicknesses in the subsurface. In addition, four lithostratigraphic units were named: the Red Rim Member of the Upper Cretaceous Lance Formation, and the China Butte, Blue Gap, and Overland Members of the Paleocene Fort Union Formation.

  9. Geology of the Gore Canyon-Kremmling area, Grand County, Colorado

    Science.gov (United States)

    Barclay, C.S. Venable

    1968-01-01

    The Gore Canyon-Kremmling area is in the southwestern portion of the Kremmling 15-minute quadrangle, Colorado. Precambrian rocks are biotite gneiss, the Boulder Creek Granodiorite, granophyre dikes, and quartz veins. The Boulder Creek intrudes the biotite gneiss, and both of these units are cut by north-northwest-trending granophyre dikes and quartz veins. Biotite gneiss contains structure elements of a northwest and a northeast fold system. Lineations and foliations in the Boulder Creek are generally concordant to the northeast fold system . of the gneiss. Late Paleozoic to Mesozoic and Mesozoic sedimentary formations, in ascending order and with their approximate thicknesses, are the State Bridge Formation, 15 feet; the Chinle and Chugwater Formations undivided, 0-95 feet; the Sundance Formation, 0?-100 feet; the Morrison Formation, 250 feet; the Dakota Sandstone, 225 feet; the Benton Shale, 340 feet; the Niobrara Formation, 600 feet; and the Pierre Shale. Quaternary deposits are terrace, landslide, and modern flood-plain deposits. Laramide rock deformation is related to the Park Range uplift and includes faulting and, in the sediments, some folding. Some of the faults, including the regional Gore fault, are Precambrian structures reactivated in Laramide time.

  10. Grecia: Nivel IV. Basado en el curso de estudios sociales de Montgomery County Public Schools. (Greece. Level 6. Based on the Montgomery County Public Schools Social Studies Program).

    Science.gov (United States)

    Maldonado, Marisol

    This curriculum unit, developed by the Montgomery County Public Schools, Maryland, was designed for use in an elementary level foreign language immersion program. It is geared toward the sixth grade social studies classroom. The unit includes instructional and performance objectives, necessary vocabulary lists, optional language structure…

  11. Phase I Flow and Transport Model Document for Corrective Action Unit 97: Yucca Flat/Climax Mine, Nevada National Security Site, Nye County, Nevada, Revision 1 with ROTCs 1 and 2

    Energy Technology Data Exchange (ETDEWEB)

    Andrews, Robert

    2013-09-01

    The Underground Test Area (UGTA) Corrective Action Unit (CAU) 97, Yucca Flat/Climax Mine, in the northeast part of the Nevada National Security Site (NNSS) requires environmental corrective action activities to assess contamination resulting from underground nuclear testing. These activities are necessary to comply with the UGTA corrective action strategy (referred to as the UGTA strategy). The corrective action investigation phase of the UGTA strategy requires the development of groundwater flow and contaminant transport models whose purpose is to identify the lateral and vertical extent of contaminant migration over the next 1,000 years. In particular, the goal is to calculate the contaminant boundary, which is defined as a probabilistic model-forecast perimeter and a lower hydrostratigraphic unit (HSU) boundary that delineate the possible extent of radionuclide-contaminated groundwater from underground nuclear testing. Because of structural uncertainty in the contaminant boundary, a range of potential contaminant boundaries was forecast, resulting in an ensemble of contaminant boundaries. The contaminant boundary extent is determined by the volume of groundwater that has at least a 5 percent chance of exceeding the radiological standards of the Safe Drinking Water Act (SDWA) (CFR, 2012).

  12. Water resources of Indiana County, Pennsylvania

    Science.gov (United States)

    Williams, D.R.; McElroy, T.A.

    1997-01-01

    Indiana County, west-central Pennsylvania, is a major producer of coal and natural gas. Water managers and residents are concerned about the effects of mining and natural gas exploration on the surface- and ground-water resources of the county. This study assesses the quality and quantity of water in Indiana County. Ground- and surface-water sources are used for public supplies that serve 61 percent of the total population of the county. The remaining 39 percent of the population live in rural areas and rely on cisterns and wells and springs that tap shallow aquifers. Most of the county is underlain by rocks of Middle to Upper Pennsylvanian age. From oldest to youngest, they are the Allegheny Group, the Glenshaw Formation, the Casselman Formation, and the Monongahela Group. Almost all the coals mined are in the Allegheny Group and the Monongahela Group. Ground water in Indiana County flows through fractures in the rock. The size and extent of the fractures, which are controlled by lithology, topography, and structure, determine the sustained yield of wells. Topography has a significant control over the yields of wells sited in the Allegheny Group. Properly sited wells in the Glenshaw Formation may have yields adequate for municipal, commercial, or industrial uses. The Casselman Formation yields adequate amounts of water for domestic use. Yield of the Monongahela Group is small, and the water may not be of suitable quality for most uses. Yields of hilltop wells may be marginal, but valley wells may yield sufficient amounts for large-volume users. Data on the other rock units are sparse to nonexistent. Few wells in the county yield more than 40 gallons per minute. Most of the wells that do are in valleys where alluvial deposits are extensive enough to be mapable. Short-term water-level fluctuations are variable from well to well. Seasonal water-level fluctuations are controlled by time of year and amount of precipitation. The quality of water from the Casselman

  13. Phase I Transport Model of Corrective Action Units 101 and 102: Central and Western Pahute Mesa, Nevada Test Site, Nye County, Nevada with Errata Sheet 1, 2, 3, Revision 1

    Energy Technology Data Exchange (ETDEWEB)

    Greg Ruskauff

    2009-02-01

    As prescribed in the Pahute Mesa Corrective Action Investigation Plan (CAIP) (DOE/NV, 1999) and Appendix VI of the Federal Facility Agreement and Consent Order (FFACO) (1996, as amended February 2008), the ultimate goal of transport analysis is to develop stochastic predictions of a contaminant boundary at a specified level of uncertainty. However, because of the significant uncertainty of the model results, the primary goal of this report was modified through mutual agreement between the DOE and the State of Nevada to assess the primary model components that contribute to this uncertainty and to postpone defining the contaminant boundary until additional model refinement is completed. Therefore, the role of this analysis has been to understand the behavior of radionuclide migration in the Pahute Mesa (PM) Corrective Action Unit (CAU) model and to define, both qualitatively and quantitatively, the sensitivity of such behavior to (flow) model conceptualization and (flow and transport) parameterization.

  14. [Montana MOYOCO Invasive Species Strike Team Final Report 2014] National Elk Refuge, Teton County Weed & Pest Control District

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO MT Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered by...

  15. [Montana MOYOCO Invasive Species Strike Team Final Report 2013] National Elk Refuge, Teton County Weed & Pest Control District

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The MOYOCO (MT) Invasive Species Strike Team is made up of two field strike teams, housed at Benton Lake and Lee Metcalf National Wildlife Refuges, yet administered...

  16. 75 FR 42814 - Boston & Maine Corporation―Abandonment Exemption―in Essex, Middlesex, and Suffolk Counties, MA

    Science.gov (United States)

    2010-07-22

    ... Surface Transportation Board Boston & Maine Corporation Abandonment Exemption in Essex, Middlesex, and Suffolk Counties, MA Boston & Maine Corporation (B&M) filed a verified notice of exemption under 49 CFR pt... Counties, Mass. The line traverses United States Postal Service Zip Codes 02149, 02151, 02148, 01905,...

  17. County and Parish Boundaries, Published in 2003, Cerro Gordo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Hardcopy Maps information as of 2003. Data by this publisher are often provided in State...

  18. 2008 USGS South New Jersey County Project Lidar: Cumberland County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South New Jersey County Lidar Project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP) for Cape May, Cumberland, and...

  19. 2006 Volusia County, Florida Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the lidar data for Volusia County, Florida, approximately 1,432 square miles, acquired in early March of 2006. A total of 143 flight lines of Lidar...

  20. Allegheny County Toxics Release Inventory

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Toxics Release Inventory (TRI) data provides information about toxic substances released into the environment or managed through recycling, energy recovery, and...

  1. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on...

  2. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description...

  3. Allegheny County Wooded Area Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates stands of trees (coniferous and deciduous) too numerous to plot as individual trees. The area is delineated following a generalized line...

  4. Sierra County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data set contains a vector digital representation of all accessible roads including interstate highways, State highways, county roads and some city streets in...

  5. Allegheny County WIC Vendor Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of Women, Infants, and Children (WIC) program vendors. If viewing this description on the Western Pennsylvania Regional Data...

  6. County Boundaries with Shorelines (National)

    Data.gov (United States)

    Department of Transportation — County boundaries with shorelines cut in (NTAD). The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and...

  7. Allegheny County Building Footprint Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet...

  8. 2014 Mobile County, AL Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Atlantic was contracted to acquire high resolution topographic LiDAR (Light Detection and Ranging) data located in Mobile County, Alabama. The intent was to collect...

  9. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on...

  10. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Soils: 1:24000 SSURGO Map. Polygon boundaries of Soils in Volusia County, downloaded from SJRWMD and created by NRCS and SJRWMD. This data set is a digital version...

  11. 2009 SCDNR Charleston County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Photoscience completed the original collection and classification of the multiple return LiDAR of Charleston County, South Carolina in the winter of 2006-2007. In...

  12. Allegheny County Soil Type Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm;...

  13. Allegheny County Environmental Justice Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Environmental Justice areas in this guide have been defined by the Pennsylvania Department of Environmental Protection. The Department defines an environmental...

  14. 2009 SCDNR Horry County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sanborn Map Company completed the original classification of the multiple return LiDAR of Horry County, South Carolina in 2009. In 2013, Dewberry was tasked with...

  15. ORTHOIMAGERY, ERIE COUNTY, OHIO USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The 2006 OSIP digital orthophotography was collected during the months of March and April (leaf-off conditions). The MrSID Images covering each county at 1-foot...

  16. 2009 SCDRN Lidar: Florence County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South Carolina Department of Natural Resources (SCDNR) contracted with Sanborn to provide LiDAR mapping services for Florence County, SC. Utilizing multi-return...

  17. Allegheny County Soil Type Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm;...

  18. Allegheny County Certified MWDBE Businesses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — According to the Federal Department of Transportation, Disadvantaged Business Enterprises (DBE) are for-profit small business concerns where socially and...

  19. Allegheny County Map Index Grid

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid...

  20. Allegheny County Building Footprint Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet...