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Sample records for application malheur county

  1. Oregon Trail Mushrooms geothermal loan guaranty application, Malheur County, Oregon: Environmental assessment

    Energy Technology Data Exchange (ETDEWEB)

    1981-05-01

    The action assessed is the guaranty of a loan by the Geothermal Loan Guaranty Office of the US Department of Energy (DOE) to finance the construction and operation of a mushroom-growing facility that will use geothermal (hot) water for process and space heat. The project consists of two separate facilities: a growing facility located just outside of the eastern limit of the city of Vale, Oregon (Malheur County, Oregon) and a composting facility located about 6.4 km (4 miles) southwest of the city limits (also in Malheur County, Oregon). Five test wells have been drilled into the geothermal resource at the growing site. Either well No. 4 or well No. 5 will serve as a production well. All geothermal fluids will be reinjected into the geothermal aquifer, so either well No. 3 will be used for this purpose, wells Nos. 1 and 2 will be deepened, or a new well will be drilled on the site. A cold-water well will be drilled at the growing site, and another will be drilled at the composting site. The environmental effects of the proposed project are not expected to be significant.

  2. 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...

  3. 77 FR 13139 - Malheur National Wildlife Refuge, Harney County, OR; Draft Comprehensive Conservation Plan and...

    Science.gov (United States)

    2012-03-05

    ... Fish and Wildlife Service Malheur National Wildlife Refuge, Harney County, OR; Draft Comprehensive Conservation Plan and Draft Environmental Impact Statement AGENCY: Fish and Wildlife Service, Interior. ACTION: Notice of availability. SUMMARY: We, the U.S. Fish and Wildlife Service (Service), announce...

  4. Wet Meadow Plant Associations, Malheur National Wildlife Refuge, Harney County, Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes vegetation data collected in July 2012 and July 2013 in wet meadow habitats on the Malheur National Wildlife Refuge. It incorporates portions...

  5. 77 FR 75644 - Malheur National Wildlife Refuge, Harney County, OR; Final Comprehensive Conservation Plan and...

    Science.gov (United States)

    2012-12-21

    ..., Malheur National Wildlife Refuge, 36391 Sodhouse Lane, Princeton, OR 97221. In-Person Viewing or Pickup..., riparian areas, irrigated meadows, grain fields, and shrub-steppe uplands. The Refuge's abundance of water... human environment in the final CCP/EIS. The CCP will guide us in managing and administering the...

  6. Carp Control Study - Control Methods and Their Application to Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This study grew out of a need for information regarding alternative solutions to chemical control of carp in Malheur Lake. Of particular concern has been the...

  7. 62 FR 28104 - Union Pacific Railroad CompanyAbandonment Exemptionin Malheur County, OR and Owyhee County, ID...

    Science.gov (United States)

    1997-05-22

    ... and Owyhee County, ID (Homedale Branch) On May 2, 1997, Union Pacific Railroad Company (UP) filed with..., and Owyhee County, ID, and includes the non-agency stations of Napton, OR-- milepost 16.90;...

  8. LIDAR: Malheur NWR

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This project was funded through the Region 1 Inventory and Monitoring Initiative RFP in 2011. LiDAR has been identified by the Malheur Lake Work Group as critical...

  9. LIDAR: Malheur NWR

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — LiDAR has been identified by the Malheur Lake Work Group as critical tool for planning, management, and restoration across the Harney Basin. In particular, this...

  10. Malheur - Common Carp Movement Control

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Invasive common carp Cyprinus carpio were introduced into the Harney Basin in the 1920’s and were recognized as a problem in Malheur Lake in 1952. The common carp...

  11. Regional economic benefits of ecotourism and operations associated with the Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The purpose of this report was to assess the role of the Malheur NWR in the economy of Harney County and the state of Oregon. This was accomplished in two stages....

  12. Malheur National Wildlife Refuge: Narrative Report: 1918

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative summarizes activities and conditions on the Malheur Lake Reservation and associated reservation sites, including administrative, wildlife (including...

  13. Spray report for Malheur Wildlife Refuge 2005

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes noxious weed control on Malheur National Wildlife Refuge in 2005. Between April and November 2,385.5 acres were treated for Perennial...

  14. 2007 Field Report : Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes noxious weed control on Malheur National Wildlife Refuge in 2007. Between April and November 5,301 acres were treated at a total budget of...

  15. 2008 Field report : Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes noxious weed control on Malheur National Wildlife Refuge in 2008. A total of 2,695.5 acres were treated. A combination of chemicals called...

  16. Malheur National Wildlife Refuge: Comprehensive Conservation Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Comprehensive Conservation Plan (CCP) was written to guide management on Malheur Wildlife Refuge for the next 15 years. This plan outlines the Refuge vision and...

  17. Wildlife Inventory Plan : Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Wildlife Inventory Plan for Malheur NWR summarizes Refuge objectives, policies on wildlife inventory procedures, biological habitat units, physical facility...

  18. 76 FR 18713 - Malheur National Forest; Oregon; Malheur National Forest Site-Specific Invasive Plants Treatment...

    Science.gov (United States)

    2011-04-05

    ... plants using integrated methods including chemical (herbicides and adjuvants), physical treatments...-malheur@fs.fed.us . Please put ``Malheur NF Invasive Plants Treatment Project'' occurs in the subject line... ecosystems. Invasive plants will continue to expand and spread every year without effective treatment (the...

  19. Malheur NWR: Initial Survey Instructions for Waterfowl Population Trends, Malheur and Mud Lakes-Aerial

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Restoring aquatic health of Malheur Lake is a priority goal of the CCP. Introduction of common carp to the Silvies River watershed has resulted in a long-term...

  20. Malheur - Telemetry Targeted Carp Movement and Removal

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Invasive common carp Cyprinus carpio were introduced into the Harney Basin in the 1920’s and were recognized as a problem in Malheur Lake in 1952. The common carp...

  1. Malheur National Wildlife Refuge: Narrative Report: 1975: Fiscal Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  2. Malheur National Wildlife Refuge: Narrative Report: 1941: Fiscal Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur Migratory Waterfowl Refuge outlines Refuge accomplishments from fiscal year 1941. The report begins by summarizing the water...

  3. Malheur National Wildlife Refuge: Narrative Report: 1979: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  4. Malheur National Wildlife Refuge: Narrative Report: 1973: Fiscal Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  5. Malheur National Wildlife Refuge: Narrative Report: 1987: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  6. Malheur National Wildlife Refuge: Narrative Report: 1974: Fiscal Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  7. Malheur National Wildlife Refuge: Narrative Report: 1989: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  8. Malheur National Wildlife Refuge: Narrative Report: 1988: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  9. Malheur National Wildlife Refuge: Narrative Report: 1982: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  10. Malheur National Wildlife Refuge: Narrative Report: 1981: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Annual Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities during 1981. The report begins with information about the year’s...

  11. Malheur National Wildlife Refuge: Narrative Report: 1991: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is the 1991 Annual Narrative Report for Malheur National Wildlife Refuge. The report begins by describing the year’s highlights and climatic conditions. Land...

  12. Malheur National Wildlife Refuge: Narrative Report: 1995: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is the 1995 Annual Narrative Report for Malheur National Wildlife Refuge. The report begins by describing the year’s highlights and climatic conditions. Land...

  13. Malheur National Wildlife Refuge: Narrative Report: 1990: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Annual Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities during 1990. The report begins with information about the year’s...

  14. Malheur National Wildlife Refuge: Narrative Report: 1968: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities during the 1968 calendar year. The report begins with general information...

  15. Malheur National Wildlife Refuge: Narrative Report: 1984: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is the 1984 Annual Narrative Report for Malheur National Wildlife Refuge. The report begins by describing the year’s highlights and climatic conditions. Land...

  16. Malheur - Efficacy of Electrofishing to Reduce Recruitment of Common Carp

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Our goal is to investigate the efficacy of using a portable electrofishingsystem to help control common carp by killing their eggs and embryos at Malheur...

  17. Malheur National Wildlife Refuge: Narrative Report: 1983: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  18. Malheur National Wildlife Refuge: Narrative Report: 1964: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  19. Malheur National Wildlife Refuge: Narrative Report: 1976: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  20. Estimated spring inflow to the Frenchglen area of Malheur NWR

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — There are four spring systems that contribute flow to the Frenchglen or P Ranch Area of Malheur NWR. One of these systems flows into the Blitzen River and the other...

  1. Malheur National Wildlife Refuge [1973: Land Status Map: Index Sheet

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This map was produced by the Division of Realty to depict landownership at Malheur National Wildlife Refuge. It was generated from rectified aerial photography,...

  2. Malheur National Wildlife Refuge [1974: Land Status Map: Sheet 3

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This map was produced by the Division of Realty to depict landownership at Malheur National Wildlife Refuge. It was generated from rectified aerial photography,...

  3. Malheur National Wildlife Refuge: Narrative Report: 1993: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This annual narrative report for Malheur NWR outlines Refuge accomplishments during the 1993 calendar year. The report begins with a summary of the year's highlights...

  4. Malheur National Wildlife Refuge Master Plan/Environmental Assessment

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is the updated Malheur National Wildlife Refuge Master Plan and Environmental Assessment. It replaces the former Master Plan Technical Report that was prepared...

  5. Sod house news [Malheur Migratory Bird Refuge, July 1938

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is report written by the CCC personnel about the Sod House Camp on Malheur Migratory Bird Refuge. Topics covered include sports, technical services, camp...

  6. Malheur National Wildlife Refuge: Narrative Report: 1965: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities during the 1965 calendar year. The report begins with general information...

  7. The Trail Inventory of Malheur NWR [Cycle 2

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The purpose of this report is to create a baseline inventory of all non-motorized trails on Malheur National Wildlife Refuge. Trails in this inventory are eligible...

  8. Malheur National Wildlife Refuge: Narrative Report: 1972: Calendar Year

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities during the 1972 calendar year. The report begins with general information...

  9. 2010 chemical treatment on the Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes noxious weed control on Malheur National Wildlife Refuge in 2010. There were 4,255.4 acres treated on the refuge. The total cost for this...

  10. Nesting birds of the Malheur environmental field station

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The purpose of this paper is to expose the reader to the various birds nesting on the Malheur environmental field station (MEFS). Each species will be discussed...

  11. Malheur NWR: Initial Survey Instructions for Weather Monitoring

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Refuge staff is developing a lake model for Malheur Lake, where accurate weather data is critical to the effort. The model, which uses a variety of climatic...

  12. Habitat Monitoring and Inventory Plan : Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is the Habitat Monitoring and Inventory Plan for Malheur National Wildlife Refuge. The goal of this plan is to develop an annual procedure to determine the...

  13. Developing Seasonal Spectral Signature Models to Accurately Assess Indicators of Aquatic Health: Malheur NWR

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Aquatic health is the number one issue to be addressed in the Malheur National Wildlife Refuge Comprehensive Conservation Plan. Malheur Lake is the number one...

  14. School Districts, Walworth County School Districts, Published in 2010, Not Applicable scale, Walworth County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This School Districts dataset, published at Not Applicable scale as of 2010. It is described as 'Walworth County School Districts'. Data by this publisher are often...

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

    Energy Technology Data Exchange (ETDEWEB)

    Kesling, Jason; Abel, Chad; Schwabe, Laurence

    2009-01-01

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

  16. Migratory bird populations and habitat relationships in Malheur-Harney Lakes Basin Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This biological study is one of four study elements outlined in the Fish and Wildlife Service's plan of study for the Malheur-Harney Lakes Basin, Oregon (July 1972,...

  17. Report of field work on waterfowl problems : Malheur Refuge, Burns, Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes the activities of the student assistant at Malheur National Wildlife Refuge during the summer of 1952. This report covers field work conducted...

  18. Map Plant Communities & Influence of Annual Water Table Fluctuations on Successional Expression: Malheur NWR

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The 2012 Malheur NWR CCP identified the development of an ecological succession model (State-and-Transition Model, or STM) as a high priority for understanding how...

  19. Malheur National Wildlife Refuge: Narrative Report: 1943: 2: May-August

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur National Wildlife Refuge outlines Refuge accomplishments from May through August 1943. The report begins by summarizing the...

  20. Malheur National Wildlife Refuge [1988: Land Status Map: Sheet 1B

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This map was produced by the Division of Realty to depict landownership at Malheur National Wildlife Refuge. It was generated from rectified aerial photography,...

  1. Malheur National Wildlife Refuge: Narrative Report: 1953: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Malheur National Wildlife Refuge is located in the Northern Great Basin portion of southeastern Oregon. The refuge was established by Executive order of President...

  2. Malheur National Wildlife Refuge: Narrative Report: 1955: 2: May-August

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur NWR outlines Refuge accomplishments from May through August of 1955. The report begins by summarizing the weather conditions and...

  3. Malheur National Wildlife Refuge: Narrative Report: 1952: 2: May-August

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from May through August of 1952. The report begins with general information...

  4. National Wildlife Refuge Visitor Survey 2010/2011 : Individual refuge results for Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report summarizes the National Wildlife Refuge Visitor Survey for Malheur NWR and is part of the USGS Data Series 643. The survey was conducted to better...

  5. Malheur National Wildlife Refuge: Narrative Report: 1945: 1: January-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur National Wildlife Refuge outlines Refuge accomplishments from January - April 1945. The report begins by summarizing the weather...

  6. Malheur National Wildlife Refuge: Narrative Report: 1961: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from September through December of 1961. The report begins with general...

  7. Malheur National Wildlife Refuge: Narrative Report: 1961: 2: May-August

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from May through August of 1961. The report begins with general information...

  8. Malheur National Wildlife Refuge: Narrative Report: 1962: 1: January-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur NWR outlines Refuge accomplishments from January through April of 1962. The report begins by summarizing the weather conditions,...

  9. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Five Mile BF-1: 2: February

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  10. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Five Mile BF-1: 1: January

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  11. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Five Mile BF-1: 4: April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  12. Malheur National Wildlife Refuge: Narrative Report: 1938: Camp Five Mile BF-1: 1: March-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  13. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Five Mile BF-1: 5: May

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  14. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Five Mile BF-1: 3: December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  15. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Five Mile BF-1: 6: June

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  16. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Five Mile BF-1: 2: November

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  17. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Five Mile BF-1: 1: October

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes activities done for Five Mile on Malheur Migratory Waterfowl Refuge. Topics include...

  18. Integrated Pest Management of Noxious Weeds on Malheur National Wildlife Refuge, Burns, Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This is a plan to control noxious weeds on Malheur National Wildlife Refuge. Three alternatives are discussed. The implementation of the preferred alternative will...

  19. Oregon State University Colonial Waterbird Aerial Survey Protocol Adapted for Use by Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Refuge-based Objectives: Use piscivorous waterbird monitoring to assess aquatic health of Malheur Lake. How do piscivorous waterbirds respond to a transition away...

  20. Malheur National Wildlife Refuge: Narrative Report: 1954: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from September through December of 1954. The report begins with general...

  1. Integrated Pest Management of noxious weeds on Malheur National Wildlife Refuge, Burns, Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The proposed action considered in this assessment would implement a management program at Malheur Refuge aimed at accomplishing the following objectives: 1) to...

  2. Malheur National Wildlife Refuge: Narrative Report: 1958: 1: January-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge covers January through April of 1958. The report begins with general information about the refuge’s...

  3. Malheur National Wildlife Refuge: Narrative Report: 1956: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge covers September through December of 1956. The report begins with general information about the refuge’s...

  4. Malheur National Wildlife Refuge: Narrative Report: 1956: 1: January-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge covers January through April of 1956. The report begins with general information about the refuge’s...

  5. Whistling swan dyeing program, Malheur National Wildlife Refuge, fall, 1961-spring, 1962

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report covers the whistling swan dyeing program on Malheur National Wildlife Refuge, in the fall of 1961 to trap birds which, owing to the absence of food in...

  6. Malheur National Wildlife Refuge: Narrative Report: 1958: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from September through December of 1958. The report begins with general...

  7. Carp in Malheur Lake Marsh - An Analysis of the Problem and Alternative Solutions

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Malheur Lake is the largest fresh water marsh in western North America. The Silvies River from the Blue Mountains and the Donner und Blitzen River from the...

  8. Malheur National Wildlife Refuge: Narrative Report: 1951: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from September through December of 1951. The report begins with general...

  9. Malheur National Wildlife Refuge: Narrative Report: 1939: 3: August-October

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur Migratory Waterfowl Refuge outlines Refuge accomplishments during August to October 1939. The report begins by summarizing the...

  10. The Economic Impact of Ecotourism on the Malheur National Wildlife Refuge Area, Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A study of the economic impact of ecotourism and the demographics of ecotourists was conducted at Malheur National Wildlife Refuge, Oregon, from June1993-May 1994....

  11. Malheur National Wildlife Refuge: Narrative Report: 1948: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report for Malheur National Wildlife Refuge outlines Refuge accomplishments from September to December 1948. The report begins by summarizing the...

  12. Malheur National Wildlife Refuge: Narrative Report: 1951: 2: May-August

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from May through August of 1951. The report begins with general information...

  13. Malheur National Wildlife Refuge: Narrative Report: 1952: 1: January-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from January through April of 1952. The report begins with general...

  14. Malheur National Wildlife Refuge: Narrative Report: 1954: 2: May-August

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from May through August of 1954. The report begins with general information...

  15. Malheur National Wildlife Refuge: Narrative Report: 1954: 1: January-April

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from January through April of 1954. The report begins with general...

  16. Malheur National Wildlife Refuge: Narrative Report: 1952: 3: September-December

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Narrative Report for Malheur National Wildlife Refuge summarizes refuge activities from September through December of 1952. The report begins with general...

  17. 78 FR 41390 - Pershing County Water Conservation District; Notice of Application Tendered for Filing with the...

    Science.gov (United States)

    2013-07-10

    ..., nearby the Town of Lovelock, Pershing County, Nevada. The project would occupy 0.25 acre of Reclamation... Energy Regulatory Commission Pershing County Water Conservation District; Notice of Application Tendered...: Pershing County Water Conservation District. e. Name of Project: Humboldt River Hydro Power Project....

  18. 78 FR 59919 - Pershing County Water Conservation District; Notice of Application Accepted for Filing With the...

    Science.gov (United States)

    2013-09-30

    ...: On the Humboldt River, near the Town of Lovelock, Pershing County, Nevada. The project would occupy 0... Energy Regulatory Commission Pershing County Water Conservation District; Notice of Application Accepted...: Original Minor License. b. Project No.: 14327-000. c. Date filed: June 26, 2013. d. Applicant:...

  19. Evaluation of the Life History of Native Salmonids in the Malheur River Basin; Cooperative Bull Trout/Redband Trout Research Project, 1999-2000 Annual Report.

    Energy Technology Data Exchange (ETDEWEB)

    Schwabe, Lawrence; Tiley, Mark (Burns Paiute Tribe, Department of Fish and Wildlife, Burns, OR); Perkins, Raymond R. (Oregon Department of Fish and Wildlife, Ontario, OR)

    2000-11-01

    The purpose of this study is to document the seasonal distribution of adult/sub-adult bull trout (Salvelinus confluentus) in the Malheur River basin. Due to the decline of bull trout in the Columbia Basin, the United States Fish and Wildlife Service listed bull trout as a threatened species in June 1998. Past land management activities; construction of dams; and fish eradication projects in the North Fork and Middle Fork Malheur River by poisoning have worked in concert to cumulatively impact native species in the Malheur Basin (Bowers et. al. 1993). Survival of the remaining bull trout populations is severely threatened (Buchanan 1997). 1999 Research Objects are: (1) Document the migratory patterns of adult/sub-adult bull trout in the North Fork Malheur River; (2) Determine the seasonal bull trout use of Beulah Reservoir and bull trout entrainment; and (3) Timing and location of bull trout spawning in the North Fork Malheur River basin. The study area includes the Malheur basin from the mouth of the Malheur River located near Ontario, Oregon to the headwaters of the North Fork Malheur River (Map 1). All fish collected and most of the telemetry effort was done on the North Fork Malheur River subbasin (Map 2). Fish collection was conducted on the North Fork Malheur River at the tailwaters of Beulah Reservoir (RK 29), Beulah Reservoir (RK 29-RK 33), and in the North Fork Malheur River at Crane Crossing (RK 69) to the headwaters of the North Fork Malheur. Radio telemetry was done from the mouth of the Malheur River in Ontario, Oregon to the headwaters of the North Fork Malheur. This report will reflect all migration data collected from 3/1/99 to 12/31/99.

  20. 76 FR 4254 - Irish Potatoes Grown in Certain Designated Counties in Idaho, and Malheur County, Oregon...

    Science.gov (United States)

    2011-01-25

    ... CONTACT: Barry Broadbent or Gary Olson, Northwest Marketing Field Office, Marketing Order Administration...; Telephone: (503) 326-2724, Fax: (503) 326- 7440, or E-mail: Barry.Broadbent@ams.usda.gov or GaryD.Olson@ams... included in the vote tabulation. Barry Broadbent and Gary Olson of the Northwest Marketing Field...

  1. TIGER/Line Shapefile, 2013, county, Malheur County, OR, 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...

  2. Application of decision support systems in county urban planning: a proposal for Macaé county

    Directory of Open Access Journals (Sweden)

    GALANTE, A. C.

    2008-06-01

    Full Text Available The Macaé County is one of the greatest economy of the state of Rio de Janeiro. With the use of the information technology is possible to create a powerful tool for supporting the decision making processing for this County, aiding the process of improvement of life quality. For that one, intends to use a Decision Support System able to give different kind of information of County areas, like health and education. For the union of all information the datawarehouse technology will be used. For query implementation the technologies of OLAP and GIS are used together. Therefore, those technologies together make a powerful tool for aiding the decision making process of the Macaé County.

  3. 7 CFR Exhibit D to Subpart B of... - Designated Counties for Housing Application Packaging Grants

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 13 2010-01-01 2009-01-01 true Designated Counties for Housing Application Packaging... Application Packaging Grants Pt. 1944, Subpt. B, Exh. D Exhibit D to Subpart B of Part 1944—Designated Counties for Housing Application Packaging Grants ER25my05.036 ER25my05.037 ER25my05.038 ER25my05.039...

  4. Bioassessments to detect changes in Pacific Northwest river fish assemblages: A Malheur River case study

    Science.gov (United States)

    The EPA’s Environmental Monitoring and Assessment Program large-river assessment protocol was applied to assess the ecological condition, major stressors, and likely human disturbances of the mainstem Malheur River, OR. We used inflatable rafts to allow launching and retrieving ...

  5. 77 FR 6534 - Malheur National Forest; Oregon; Summit Logan Grazing Authorization Project

    Science.gov (United States)

    2012-02-08

    ... Forest Service Malheur National Forest; Oregon; Summit Logan Grazing Authorization Project AGENCY: Forest... authorize livestock grazing on all or portions of the Lake Creek, Logan Valley, McCoy Creek and Summit... watersheds. The Summit Logan Grazing Authorization Project area is located south and west of Prairie...

  6. County and Parish Boundaries, Published in 2014, Not Applicable scale, GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at Not Applicable scale, was produced all or in part from Other information as of 2014. Data by this publisher...

  7. Environmental Assessment: Alternatives to enhance the production of Greater Sandhill Cranes on Malheur National Wildlife Refuge, Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — During the past 14 years the sandhill crane nesting population on Malheur National Wildlife Refuge (NWR) has decreased by 21% (down from 236 pairs in 1971 to 186...

  8. Progress report 1988: predator control to enhance production of Greater Sandhill Cranes on Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon has declined from 181 pairs in 1986 when predator control began to 137...

  9. Progress report 1989: predator control to enhance the production of Greater Sandhill Cranes on Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon has declined from 236 pairs in 1971 to 181 pairs in 1986 when predator...

  10. Progress report 1991: predator control to enhance the production of greater Sandhill Cranes on Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon had declined from 236 pairs in 1971 to 181 pairs in 1986 when predator...

  11. Progress Report 1990: predator control to enhance the production of Greater Sandhill Cranes on Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon had declined from 236 pairs in 1971 to 181 pairs in 1986 when predator...

  12. Progress report 1987: predator control to enhance the production of Greater Sandhill Cranes on Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon has declined from 236 pairs in 1971 to 181 pairs in 1986. Nesting...

  13. Moths of the Malheur National Wildlife Refuge: Results from 15 sites sampled 13-16 September 2012

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Macro-moths were sampled from the Malheur National Wildlife Refuge 13-15 September, 2012 as part of a faunal inventory of this abundant and diverse insect group....

  14. Progress Report 1986 : Predator Control to Enhance the Production of Greater Sandhill Cranes on Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The nesting population of greater sandhill cranes on Malheur National Wildlife Refuge, Oregon has declined from 236 pairs in 1971 to 181 pairs in 1986. Nesting...

  15. Effects of Haying and Grazing on Duck Production in the Blitzen Valley (Unit 12) of Malheur National Wildlife Refuge, 1979

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report is about a study that was done at Malheur National Wildlife Refuge to determine the effects that haying and grazing have on duck production. Three...

  16. 76 FR 62760 - Foreign-Trade Zone 277-Western Maricopa County, AZ; Application for Temporary/Interim...

    Science.gov (United States)

    2011-10-11

    .../Interim Manufacturing Authority; Sub-Zero, Inc.; (Refrigerators); Goodyear, AZ An application has been... County Foreign Trade Zone, Inc., grantee of FTZ 277, requesting temporary/ interim manufacturing...

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

    Energy Technology Data Exchange (ETDEWEB)

    Ashley, Paul

    2004-01-01

    proposals are subjected to a rigorous review process prior to receiving final approval. An eleven-member panel of scientists referred to as the Independent Scientific Review Panel (ISRP) examines project proposals. The ISRP recommends project approval based on scientific merit. The Bonneville Power Administration (BPA), the Columbia Basin Fish and Wildlife Authority (CBFWA), Council staff, the U.S. Fish and Wildlife Service (USFWS), the National Oceanic and Atmospheric Administration (NOAA), and subbasin groups also review project proposals to ensure each project meets regional and subbasin goals and objectives. The Program also includes a public involvement component that gives the public an opportunity to provide meaningful input on management proposals. After a thorough review, the Burns Paiute Tribe (BPT) acquired the Malheur River Mitigation Project (Project) with BPA funds to compensate, in part, for the loss of fish and wildlife resources in the Columbia and Snake River Basins and to address a portion of the mitigation goals identified in the Council's Program (NPPC 2000).

  18. 77 FR 66607 - Placer County Water Agency; Notice of Application for Approval of Contract for the Sale of Power...

    Science.gov (United States)

    2012-11-06

    ... Energy Regulatory Commission Placer County Water Agency; Notice of Application for Approval of Contract for the Sale of Power for a Period Extending Beyond the Term of the License Take notice that on July 17, 2012, Placer County Water Agency filed with the Commission an application for approval of:...

  19. Election Districts and Precincts, Supervisory Districts for County, Published in unknown, Not Applicable scale, Trempealeau County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Election Districts and Precincts dataset, published at Not Applicable scale, was produced all or in part from Other information as of unknown. It is described...

  20. Mapping the Future Today: The Community College of Baltimore County Geospatial Applications Program

    Science.gov (United States)

    Jeffrey, Scott; Alvarez, Jaime

    2010-01-01

    The Geospatial Applications Program at the Community College of Baltimore County (CCBC), located five miles west of downtown Baltimore, Maryland, provides comprehensive instruction in geographic information systems (GIS), remote sensing and global positioning systems (GPS). Geospatial techniques, which include computer-based mapping and remote…

  1. 76 FR 25300 - Foreign-Trade Zone 276-Kern County, CA; Application for Expansion

    Science.gov (United States)

    2011-05-04

    ..., 76 FR 86-87, 01/03/ 2011). The zone currently consists of two sites (1,690 acres): Site 1 (1,443... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF COMMERCE Foreign-Trade Zones Board Foreign-Trade Zone 276--Kern County, CA; Application for Expansion...

  2. 76 FR 78702 - Progress Energy Florida, Inc. (Combined License Application for Levy County Nuclear Power Plant...

    Science.gov (United States)

    2011-12-19

    ... From the Federal Register Online via the Government Publishing Office NUCLEAR REGULATORY COMMISSION Progress Energy Florida, Inc. (Combined License Application for Levy County Nuclear Power Plant...) and 2.321(b), the Atomic Safety and Licensing Board (Board) in the above-captioned Progress...

  3. Clast formation in cinder cone vents: Negro Rock, Malheur County, Oregon

    Energy Technology Data Exchange (ETDEWEB)

    Atkinson, M.G. (California State Univ., Sacramento, CA (United States). Geology Dept.); Pasek, T.A. (Springfield High School, OR (United States)); Cummings, M.L. (Portland State Univ., OR (United States). Geology Dept.)

    1993-04-01

    Negro Rock is an andesitic vent complex within the middle to late Miocene Grassy Mountain Formation. Negro Rock complex includes two central vents that intrude palagonitic tephra formed during an earlier episode of hydrovolcanic-dominated volcanism. In the southwestern vent, Negro Rock, progressive fragmentation from a chilled wall to open textured scoria is preserved. Chilled, vesicle-free andesite against contact metamorphosed palagonitic tephra forms the outer wall of the vent. Inward, strongly vertically stretched vesicles occur in crudely flow banded andesite. The stretch textures give way to isolated patches of small vesicles in a non-vesiculated, non-stretched matrix. The size and abundance of vesicles patches increases inward. The non-vesiculated portion steadily decreases to a dense rim around vesiculated incipient clasts. As clast forms become more prominent the color changes from dark gray to purple. Liberated scoria clasts are red and occur with an assortment of blocks and fusiform bombs within the vent. Clast formation is due to magmatic degassing within the base of the cinder cone. The northeastern, higher vent shows incipient clast formation near the summit.

  4. 78 FR 41418 - Malheur National Wildlife Refuge, Harney County, OR; Record of Decision for Final Environmental...

    Science.gov (United States)

    2013-07-10

    ... Refuge, 36391 Sodhouse Lane, Princeton, OR 97221. In-Person Viewing or Pickup: Call the Refuge at (541... meadows, grain fields, and shrub-steppe uplands. With its abundance of water in an otherwise arid... human environment in the final CCP/EIS. The CCP will guide us in managing and administering the...

  5. The Ecological History of the Malheur-Harney Lakes Basin, Oregon-Phase I Eocene Epoch to 1900

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Malheur-Harney Lakes Basin is located in the northern portion of the inter-mountain region. There is no outlet to the sea and the only way any water leaves is by...

  6. Moths of the Malheur National Wildlife Refuge: Results from 15 sites sampled 5-8 August 2013

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Macro-moths were sampled from the OO Ranch and Sodhouse/Headquarters areas of MalheurNational Wildlife Refuge 5-8 August, 2013 as part of an ongoing faunal inventory...

  7. 76 FR 35997 - Onions Grown in Certain Designated Counties in Idaho, and Malheur County, OR; Modification of...

    Science.gov (United States)

    2011-06-21

    ... INFORMATION CONTACT: Barry Broadbent or Gary D. Olson, Northwest Marketing Field Office, Marketing Order...; Telephone: (503) 326-2724, Fax: (503) 326-7440, or E-mail: Barry.Broadbent@usda.gov or...

  8. 76 FR 67317 - Onions Grown in Certain Designated Counties in Idaho, and Malheur County, OR; Modification of...

    Science.gov (United States)

    2011-11-01

    ...: Barry Broadbent or Gary D. Olson, Northwest Marketing Field Office, Marketing Order Administration...; Telephone: (503) 326-2724, Fax: (503) 326-7440, or Email: Barry.Broadbent@ams.usda.gov or...

  9. Effects of flood control alternatives on fish and wildlife resources of the Malheur-Harney lakes basin

    Science.gov (United States)

    Hamilton, David B.; Auble, Gregor T.; Ellison, Richard A.; Roelle, James E.

    1985-01-01

    Malheur Lake is the largest freshwater marsh in the western contiguous United States and is one of the main management units of the Malheur National Wildlife Refuge in southeastern Oregon. The marsh provides excellent waterfowl production habitat as well as vital migration habitats for birds in the Pacific flyway. Water shortages have typically been a problem in this semiarid area; however, record snowfalls and cool summers have recently caused Malheur Lake to rise to its highest level in recorded history. This has resulted in the loss of approximately 57,000 acres of important wildlife habitat as well as extensive flooding of local ranches, roads, and railroad lines. Because of the importance of the Refuge, any water management plan for the Malheur-Harney Lakes Basin needs to consider the impact of management alternatives on the hydrology of Malheur Lake. The facilitated modeling workshop described in this report was conducted January 14-18, 1985, under the joint sponsorship of the Portland Ecological Services Field Office and the Malheur National Wildlife Refuge, Region 1, U.S. Fish and Wildlife Service (FWS). The Portland Field Office is responsible for FWS reporting requirements on Federal water resource projects while the Refuge staff has management responsibility for much of the land affected by high water levels in the Malheur-Harney Lakes Basin. The primary objective of the workshop was to begin gathering and analyzing information concerning potential fish and wildlife impacts, needs, and opportunities associated with proposed U.S. Army Corps of Engineers (COE) flood control alternatives for Malheur Lake. The workshop was structured around the formulation of a computer model that would simulate the hydrologic effects of the various alternatives and any concommitant changes in vegetation communities and wildlife use patterns. The simulation model is composed of three connected submodels. The Hydrology submodel calculates changes in lake volume, elevation

  10. [Application of land economic ecological niche in landscape pattern analysis at county level: A case study of Jinghe County in Xinjiang, China].

    Science.gov (United States)

    Yu, Hai-yang; Zhang, Fei; Wang, Juan; Zhou, Mei

    2015-12-01

    The theory of land economic ecological niche was used to analyze the regional landscape pattern in this article, with an aim to provide a new method for the characterization and representation of landscape pattern. The Jinghe County region, which is ecologically fragile, was selected as an example for the study, and the Landsat images of 1990, 1998, 2011 and 2013 were selected as remote sensing data. The land economic ecological niche of land use types calculated by ecostate-ecorole theory, combined with landscape ecology theory, was discussed in application of land economic ecological niche in county landscape pattern analysis. The results showed that, during the study period, the correlations between land economic ecological niche of farmland, construction land, and grassland with the parameters, including landscape patch number (NP), aggregated index (AI), fragmented index (FN) and fractal dimension (FD), were significant. Regional landscape was driven by the changes of land economic ecological niche, and the trend of economic development could be represented by land economic ecological niche change in Jinghe County. Land economic ecological niche was closely related with the land use types which could yield direct economic benefits, which could well explain the landscape pattern characteristics in Jinghe County when combined with the landscape indices.

  11. 76 FR 13354 - Foreign-Trade Zone 266-Dane County, WI; Application for Subzone, Cabela's Inc. (Hunting, Fishing...

    Science.gov (United States)

    2011-03-11

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF COMMERCE Foreign-Trade Zones Board Foreign-Trade Zone 266--Dane County, WI; Application for Subzone, Cabela's Inc. (Hunting, Fishing, Camping and Related Outdoor Merchandise), Prairie du Chien, WI An application has...

  12. Nationwide forestry applications program: Procedure 1 applicability to rangeland classification. [Weld County, Colorado

    Science.gov (United States)

    Reeves, C. A. (Principal Investigator)

    1978-01-01

    The author has identified the following significant results. An assumption that short prairie grass and salt grass could be differentiated on aircraft photographs was inaccurate for the Weld County site. However, rangeland could be differentiated using procedure 1 from LACIE. Estimates derived from either random or systematic sampling were satisfactory. Level 1 features were separated and mapped, and proportions were estimated with accompanying confidence statements.

  13. 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...

  14. Evaluation of the Life History of Native Salmonids in the Malheur River Basin; Cooperative Bull Trout/Redband Trout Research Project, 2000-2001 Annual Report.

    Energy Technology Data Exchange (ETDEWEB)

    Gonzales, Dan; Schwabe, Lawrence; Wenick, Jess (Burns Paiute Tribe, Department of Fish and Wildlife, Burns, OR)

    2001-08-01

    The Malheur basin lies within southeastern Oregon. The Malheur River is a tributary to the Snake River, entering at about River Kilometer (RK) 595. The hydrological drainage area of the Malheur River is approximately 12,950 km{sup 2} and is roughly 306 km in length. The headwaters of the Malheur River originate in the Blue Mountains at elevations of 6,500 to 7,500 feet, and drops to an elevation of 2000 feet at the confluence with the Snake River near Ontario, Oregon. The climate of the Malheur basin is characterized by hot dry summers, occasionally exceeding 38 C and cold winters that may drop below -29 C. Average annual precipitation is 300 centimeters and ranges from 100 centimeters in the upper mountains to less than 25 centimeters in the lower reaches (Gonzalez 1999). Wooded areas consist primarily of mixed fir and pine forest in the higher elevations. Sagebrush and grass communities dominate the flora in the lower elevations. Efforts to document salmonid life histories, water quality, and habitat conditions have continued in fiscal year 2000. The Burns Paiute Tribe (BPT), United States Forest Service (USFS), and Oregon Department of Fish and Wildlife (ODFW), have been working cooperatively to achieve this common goal. Bull trout ''Salvenlinus confluentus'' have specific environmental requirements and complex life histories making them especially susceptible to human activities that alter their habitat (Howell and Buchanan 1992). Bull trout are considered to be a cold-water species and are temperature dependent. This presents a challenge for managers, biologists, and private landowners in the Malheur basin. Because of the listing of bull trout under the Endangered Species Act as threatened and the current health of the landscape, a workgroup was formed to develop project objectives related to bull trout. This report will reflect work completed during the Bonneville Power contract period starting 1 April 2000 and ending 31 March 2001. The

  15. 78 FR 18314 - Foreign-Trade Zone 169-Manatee County, Florida; Application for Production Authority; ASO, LLC...

    Science.gov (United States)

    2013-03-26

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF COMMERCE Foreign-Trade Zones Board Foreign-Trade Zone 169--Manatee County, Florida; Application for Production Authority; ASO, LLC; Subzone 169A (Textile Fabric Adhesive Bandage Coating and Production);...

  16. 76 FR 11522 - In the Matter of Progress Energy Florida, Inc. (Combined License Application, Levy County Nuclear...

    Science.gov (United States)

    2011-03-02

    ... From the Federal Register Online via the Government Publishing Office NUCLEAR REGULATORY COMMISSION In the Matter of Progress Energy Florida, Inc. (Combined License Application, Levy County Nuclear... relating to pending appeal filed by the Nuclear Regulatory Commission staff in this case. Mr. Dehmel...

  17. Analysis of Factors Affecting Adoption and Application of Sprinkler Irrigation by Farmers in Famenin County, Iran

    Directory of Open Access Journals (Sweden)

    Hassan Afrakhteh

    2015-06-01

    Full Text Available Due to its location in the dry belt, the vast country of Iran has always been faced with the problem of water shortages. In such a climate one should take measures to increase the productivity and improve the efficiency of irrigation through expansion of water-conserving technology in the agricultural sector, as this is the largest and most important consumer of water. Therefore this study aimed at investigating factors affecting the adoption and application of sprinkler irrigation technology by farmers in the county of Famenin, Iran. Survey research was the dominant approach. The statistical population consisted of farmers in the Famenin County, and, using Cochran’s formula, 280 of them were selected through multi-stage stratified random-sampling equally among adopters and non-adopters. In order to assess the validity of the questionnaire the opinions of experts were used and to measure the reliability of the questionnaire Cronbach’s alpha statistic was used (82%. The results showed the adoption of sprinkler irrigation systems to be influenced by environmental factors such as the area under cultivation, access to water, water quality, and non-environmental factors such as the workforce number in the family, employment diversity, and participation in extension education and courses on agricultural water management. Ultimately the logit model is estimated in this paper. Adopters have also expressed reasons such as failure to adequately train farmers for maintenance after system installation, scientific and practical justifications, lack of availability of efficient repairs, inappropriate design and implementation by companies, low-quality components and fittings, clogging of sprinklers due to salty water, non-compliance with environmental conditions, difficulty using machines, the large area occupied by these systems, transportation, parts shortage, lack of security and the possibility of the theft of parts and fittings, and communal

  18. 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...

  19. Scanned Hardcopy Maps, Walworth County Historical Airphotos scanned and georeferenced, Published in 2011, Not Applicable scale, Walworth County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Scanned Hardcopy Maps dataset, published at Not Applicable scale, was produced all or in part from Other information as of 2011. It is described as 'Walworth...

  20. Parcels and Land Ownership, Dunn County Parcel Layer, Published in 1999, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset, published at Not Applicable scale, was produced all or in part from Other information as of 1999. It is described as 'Dunn...

  1. Practical Application of Participatory Approach in Land Conversion Project Planning: A Case in Quxian County, Sichuan Province

    Institute of Scientific and Technical Information of China (English)

    2003-01-01

    Application of participatory approaches in governmental forestry projects is a bran-new forestry design method. The purpose is to plan the utilization of land correctly, and to determine planting sites, planting species, participating households and management models, based on the projects' requirements and the farmers' demands. Participatory approaches are now practiced in some of the counties in Land Conversion Project. The paper presents the significance and necessity of practicing community mechanis...

  2. Chemical, isotopic, and dissolved gas compositions of the hot springs of the Owyhee Uplands, Malheur County, Oregon

    Science.gov (United States)

    Mariner, R.H.; Young, H.W.; Evans, William C.; Nielson, Dennis L.

    1994-01-01

    Hot springs along the Owyhee River in southeastern Oregon between Three Forks and Lake Owyhee could be part of a north flowing regional system or a series of small separate geothermal systems Heat for the waters could be from a very young (Holocene) volcanic activity (basalt flows) of the Owyhee Uplands or the regional heat flow. The springs discharge warm to hot, dilute, slightly alkaline, sodium bicarbonate water. Chemically they are similar to the dilute thermal water at Bruneau Grand View and Twin Falls, Idaho. Maximum aquifer temperatures in the Owyhee Uplands, estimated from chemical geothermometry, are about 100°C. Dissolved helium concentrations, carbon 14 activity, and chemical and isotope data are examined fro systematic trends which would indicate a geothermal system of regional extent.

  3. Nationwide forestry applications program: Ten-Ecosystem Study (TES) site 2, Warren County, Pennsylvania, site evaluation

    Science.gov (United States)

    Reeves, C. A. (Principal Investigator)

    1977-01-01

    The author has identified the following significant results. It was determined that hardwood in Warren County, Pennsylvania could best be inventoried in May. The acreage estimate was less than 3% different from Forest Service estimates.

  4. 76 FR 81912 - Foreign-Trade Zone 226-Merced, Madera, Fresno and Tulare Counties, CA; Application for...

    Science.gov (United States)

    2011-12-29

    ... Foreign-Trade Zones Board Foreign-Trade Zone 226--Merced, Madera, Fresno and Tulare Counties, CA... and Air Park Road, Atwater (Merced County); Site 6 (87 acres)--City of Madera Airport Industrial Park/State Center Commerce Park, Falcon Drive, Madera (Madera County); Site 7 (10 acres)--City of...

  5. 76 FR 13172 - Placer County Water Agency

    Science.gov (United States)

    2011-03-10

    ... Energy Regulatory Commission Placer County Water Agency Notice of Application Tendered for Filing with... Filed: February 23, 2011 d. Applicant: Placer County Water Agency e. Name of Project: Middle Fork... Manager, Placer County Water Agency, 144 Ferguson Road, Auburn, CA 95603; Telephone: (530) 823-4490....

  6. Farmers' Character and Behavior of Fertilizer Application - Evidence from a Survey of Xinxiang County, Henan Province, China

    Institute of Scientific and Technical Information of China (English)

    HAN Hong-yun; ZHAO Lian-ge

    2009-01-01

    Agricultural chemical use has caused a public concern over environmental issue while decisions about applying chemicals are made by individual farmers. The critical decision-making role of farmers relative to agricultural chemical use creates a need for accurate information on their perceptions of various chemical-related hazards and the factors that may influence such judgments. Based on data collected from 177 land operators at Xinxiang County in Henan Province of China, an empirical analysis is conducted to examine the relationship between farmers' character and the behavior of fertilizer application. Study findings reveal that: the characteristics of household head and household, and the nature of farming management positively affect the amount of fertilizers applied; information on fertilizers and the knowledge about environmental impact of fertilizer application have negative impacts by contrast. To formulate effective pollution control policies at the farm level, it is imperative for policy-makers to convey information to producers by demonstration projects, technical assistance, and education programs. Under a changed political environment, some combination of education and economic incentives could be lower cost and more effective tools for achieving desired environmental conservative goals.

  7. Evaluation of the Life History of Native Salmonids in the Malheur River Basin; Cooperative Bull Trout/Redband Trout Research Project, 2002-2003 Annual Report.

    Energy Technology Data Exchange (ETDEWEB)

    Miller, Alan; Soupir, Jim (US Forest Service, Prairie City Ranger District, Prairie City, OR); Schwabe, Lawrence (Burns Paiute Tribe, Department of Fish and Wildlife, Burns, OR)

    2003-08-01

    The Malheur River is a 306-kilometer tributary to the Snake River, which drains 12,950 square kilometers. The Malheur River originates in the Blue Mountains and flows into the Snake River near Ontario, Oregon. The climate of the basin is characterized by hot dry summers, occasionally exceeding 38 C, and cold winters that may drop below -29 C. Average annual precipitation is 30 centimeters in the lower reaches. Wooded areas consist primarily of mixed fir and pine forest in the higher elevations. Sagebrush and grass communities dominate the flora in the lower elevations. Efforts to document salmonid life histories, water quality, and habitat conditions have continued in fiscal year 2002. Bull trout Salvelinus confluentus are considered to be cold water species and are temperature-dependant. Due to the interest of bull trout from various state and Federal agencies, a workgroup was formed to develop project objectives related to bull trout. Table 1 lists individuals that participated in the 2002 work group. This report will reflect work completed during the Bonneville Power Administration contract period starting April 1, 2002, and ending March 31, 2003. All tasks were conducted within this timeframe, and a more detailed timeframe may be referred to in each individual report.

  8. Contours, Two Foot Contours, Published in 2007, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Contours dataset, published at Not Applicable scale, was produced all or in part from LIDAR information as of 2007. It is described as 'Two Foot Contours'....

  9. Zip Codes, Zip Codes, Published in 2008, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zip Codes dataset, published at Not Applicable scale, was produced all or in part from Other information as of 2008. It is described as 'Zip Codes'. Data by...

  10. Geodetic Control Points, Wisconsin HARN, Published in 1993, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Geodetic Control Points dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 1993. It is described as...

  11. 100-Year Floodplains, 100 Year Floodplains, Published in 2007, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This 100-Year Floodplains dataset, published at Not Applicable scale, was produced all or in part from LIDAR information as of 2007. It is described as '100 Year...

  12. Railroad Lines, Railroads, Published in 2007, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Railroad Lines dataset, published at Not Applicable scale, was produced all or in part from Orthoimagery information as of 2007. It is described as 'Railroads'....

  13. Zip Codes, Zip Codes for Limestone and Madison Counties, Published in 2014, Not Applicable scale, GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zip Codes dataset, published at Not Applicable scale, was produced all or in part from Published Reports/Deeds information as of 2014. It is described as 'Zip...

  14. Election Districts and Precincts, Redistricting, Published in 2011, Not Applicable scale, Taylor County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Election Districts and Precincts dataset, published at Not Applicable scale, was produced all or in part from Published Reports/Deeds information as of 2011. It...

  15. Election Districts and Precincts, Supervisory Districts, Published in 2009, Not Applicable scale, Dunn County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Election Districts and Precincts dataset, published at Not Applicable scale, was produced all or in part from Other information as of 2009. It is described as...

  16. 77 FR 20356 - Foreign-Trade Zone 277-Western Maricopa County, AZ; Application for Manufacturing Authority...

    Science.gov (United States)

    2012-04-04

    ... Manufacturing Authority; Suntech Arizona, Inc., (Solar Panel Manufacturing), Goodyear, AZ An application has..., Inc., grantee of FTZ 277, requesting manufacturing authority on behalf of Suntech Arizona, Inc... foreign inputs that become scrap or waste during manufacturing. FTZ designation would further...

  17. 75 FR 67406 - Exelon Nuclear Texas Holdings, LLC; Victoria County Station Early Site Permit Application; Notice...

    Science.gov (United States)

    2010-11-02

    ... relevant environmental standards; c. Affected State and local government agencies, including those authorized to develop and enforce relevant environmental standards; d. Any affected Native American; e. Any..., April 28, 2010 (75 FR 22434). A notice of acceptance for docketing of the application for the ESP...

  18. 75 FR 42377 - Foreign-Trade Zone 244-Riverside County, CA; Application for Reorganization Under Alternative...

    Science.gov (United States)

    2010-07-21

    ..., Christopher Kemp of the FTZ Staff is designated examiner to evaluate and analyze the facts and information... during the subsequent 15- day period to October 4, 2010. A copy of the application will be available for... information, contact Christopher Kemp at Christopher.Kemp@trade.gov or (202) 482-0862. Dated: July 14,...

  19. 76 FR 30099 - Foreign-Trade Zone 161-Sedgwick County, KS; Application for Reorganization/Expansion Under...

    Science.gov (United States)

    2011-05-24

    ... Street North, Wichita. The grantee's proposed service area under the ASF would be Butler, Harvey, Mc... Assembly Facility, 1000 Commerce Street, Hutchinson (Reno County). Because the ASF only pertains...

  20. Accident Locations, Currently this layer is maintained by our County Sheriff Department & done with a desktop GIS program., Published in 2013, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Accident Locations dataset, published at Not Applicable scale, was produced all or in part from Other information as of 2013. It is described as 'Currently this...

  1. Police Districts, Data layer upkept by the Emergency Management department using USPLS data and used by the County Dispatch center, Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Police Districts dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 2012. It is described as 'Data...

  2. 75 FR 31463 - Comal County Regional Habitat Conservation Plan, Comal County, TX

    Science.gov (United States)

    2010-06-03

    ... Fish and Wildlife Service Comal County Regional Habitat Conservation Plan, Comal County, TX AGENCY... statement, draft habitat conservation plan, and permit application; announcement of a public hearing... County, Texas, as a result of activities including, but not limited to: Public or private...

  3. Quantification of aggregation bias in regional agricultural land use models: application to Guácimo County, Costa Rica

    NARCIS (Netherlands)

    Jansen, H.G.P.; Stoorvogel, J.J.

    1998-01-01

    Different specifications of a land use model for Guacimo county in Costa Rica were used to quantify various sources of aggregation bias, including variation in farm resource endowments within and between representative farm classes; spatially variable prices; and labor market inter-dependencies betw

  4. 911 Call Center (PSAP) Service Areas, Important layer used in County Dispatch for routing first responders. Created using the County USPLS and documented reports on correct boundaries, Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This 911 Call Center (PSAP) Service Areas dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 2012. It is...

  5. Application of SIG and OLAP technologies on IBGE databases as a decision support tool for the county administration

    Directory of Open Access Journals (Sweden)

    REGO, E. A.

    2008-06-01

    Full Text Available This paper shows a Decision Support System development for any brazilian county. The system is free of any costs research. For doing so, one uses the datawarehouse, OLAP and GIS technologies all together with the IBGE's database to give to the user a query building tool, showing the results in maps or/and tables format, on a very simple and efficient way.

  6. Method for Evaluating the Degrees of Land Use Sustainability of Mountainous County and its Application in Yunnan Province, China

    Institute of Scientific and Technical Information of China (English)

    YANG Zisheng; LIU Yansui; TAO Wenxing; XU Jingjing; ZHAO Qiaogui

    2008-01-01

    The evaluation of sustainable land use is the key issue in the field of studying the sustainable land utilization. In general analysis, the sustainable land use is evaluated respectively from its ecological sustainability, economic sustainability and social sustainability in China and other countries in recent years. Although this evaluation is an important work, it seems insufficient and hard to comprehensively reflect the whole degree of land use sustainability. Thus, to make up this deficiency, this paper brings forward the evaluation indexes, which make it possible to quantitatively reflect the whole degree of land use sustainability, namely, the concept of "degrees of overall land use sustainability" (Dos), and research and development of the method of measurement and calculation in Dos. Taking the evaluation of the degree of land use sustainability in county regions of Yunnan Province as the actual example for analysis, results are basically as follows: 1) The degree of land use sustainability (Dos) is the ration index to organically and systematically integrate the degree of ecological friendliness (DEF), the degree of economic viability (DEV) and the degree of social acceptability (DSA), able to comprehensively reflect the whole sustainability degree of regional land use. 2) Based on the value of Dos, the grading system and standard for the sustainability of land use may be established and totally divided into five grades, namely, the high-degree sustainability, middle-degree sustainability, low-degree sustainabflity, conditional sustainability and non-sustainability. Meanwhile, the standard for distinguishing sustainability grades has also been confirmed so as to determine the nature of sustainability degrees in different grades. This makes the possibility for the combination of nature determination with ration in research result and provides with the scientific guideline and decision-making gist for better implementation of sustainable land use strategy.3

  7. Promotion and Application of Precision Cultivation in Zhangwu County%精量播种技术在彰武县的推广应用

    Institute of Scientific and Technical Information of China (English)

    滕鸿雁

    2012-01-01

    在综述彰武县精量播种技术推广情况的基础上,根据全县多年的精量播种实践,总结精量播种技术带来的收益。根据彰武地区玉米种植特点和农艺要求,提出适宜推广的精量播种机具及玉米品种。%This article reviews the promotion and application of precision cultivation technique in Zhangwu County. The author examines the practical experience in adopting this technique in recent years and the generated earnings. Suitable machines and maize varieties for precision cultivation are recommended in view of the plantation features and agronomic requirement in Zhangwu area.

  8. Development of a Real-Time GPS/Seismic Displacement Meter: Applications to Civilian Infrastructure in Orange and Western Riverside Counties, California

    Science.gov (United States)

    Bock, Yehuda

    2005-01-01

    We propose a three-year applications project that will develop an Integrated Real-Time GPS/Seismic System and deploy it in Orange and Western Riverside Counties, spanning three major strike-slip faults in southern California (San Andreas, San Jacinto, and Elsinore) and significant populations and civilian infrastructure. The system relying on existing GPS and seismic networks will collect and analyze GPS and seismic data for the purpose of estimating and disseminating real-time positions and total ground displacements (dynamic, as well as static) during all phases of the seismic cycle, from fractions of seconds to years. Besides its intrinsic scientific use as a real-time displacement meter (transducer), the GPS/Seismic System will be a powerful tool for local and state decision makers for risk mitigation, disaster management, and structural monitoring (dams, bridges, and buildings). Furthermore, the GPS/Seismic System will become an integral part of California's spatial referencing and positioning infrastructure, which is complicated by tectonic motion, seismic displacements, and land subsidence. Finally, the GPS/Seismic system will also be applicable to navigation in any environment (land, sea, or air) by combining precise real-time instantaneous GPS positioning with inertial navigation systems. This development will take place under the umbrella of the California Spatial Reference Center, in partnership with local (Counties, Riverside County Flood and Water Conservation District, Metropolitan Water District), state (Caltrans), and Federal agencies (NGS, NASA, USGS), the geophysics community (SCIGN/SCEC2), and the private sector (RBF Consulting). The project will leverage considerable funding, resources, and R&D from SCIGN, CSRC and two NSF-funded IT projects at UCSD and SDSU: RoadNet (Real-Time Observatories, Applications and Data Management Network) and the High Performance Wireless Research and Education Network (HPWREN). These two projects are funded to

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 离散数学在农业中的应用——以陕西省旬邑县为例%Application of Discrete Mathematics in Agriculture:Taking Xunyi County of Shaanxi Province for Example

    Institute of Scientific and Technical Information of China (English)

    高亚玲

    2012-01-01

    The article, based on introducing concept of Groupoid and Semigroup of Discrete Mathematics, elaborated geographical environment and climatic characteristics of Xunyi County, as well as the application of Groupid and Semigroup in Xunyi County crops.%本文在介绍离散数学中广群和半群概念的基础上,阐述了旬邑县独特的地理环境和气候特征,以及广群和半群在旬邑县农作物中的应用.

  14. Application of Geothermal Energy to New Countryside Construction——A Case Study of Xiong County, Hebei Province

    Institute of Scientific and Technical Information of China (English)

    WANG; Shu-fang

    2012-01-01

    Hujiatai Village, Xiong County, Hebei Province was nominated as the experimental unit of new countryside construction by Hebei Province in 2008. In order to make Hujiatai Village become a new countryside model with friendly ecological and environmental conditions, local energy resources should be considered. In this study, a mode of "geothermal energy extraction-heat exchange-space heating-reinjection" was adopted to supply heat to resident houses in Hujiatai Village cooperating with a geothermal development entity based on the abundant geothermal resources, thereby constructing a clean, economic and autarkic new countryside energy system, which avoids utilization of fossil-energy, reduces emission of greenhouse gases and generation of solid coal cinder, protecting air and land environment, improving life quality of the people and building a typical model for Hebei Province and even for the whole country.

  15. Application of earth resources technology satellite data to urban and regional planning: Test site, County of Los Angeles

    Science.gov (United States)

    Raje, S.; Mcknight, J.; Willoughby, G.; Economy, R. (Principal Investigator)

    1974-01-01

    The author has identified the following significant results. The County of Los Angeles photointerpreted ERTS film products to define problems of interest, coordinated ground truth over the complex test site including interfaces with secondary users as well as participated in on-line analyses of the GE multispectral information extraction systems. Interactive machine analyses were carried out, developing techniques and procedures as well as evaluating the outputs for community and regional planning. Extensive aircraft underflight coverage was provided that was valuable both in inputs preparation and outputs evaluation of the machine-aided analyses. One of the nonstandard ERTS images led to the discovery of a major new fault lineament on the northern slope of the Santa Monica Mountains.

  16. Land Use Allocation Based on a Multi-Objective Artificial Immune Optimization Model: An Application in Anlu County, China

    Directory of Open Access Journals (Sweden)

    Xiaoya Ma

    2015-11-01

    Full Text Available As the main feature of land use planning, land use allocation (LUA optimization is an important means of creating a balance between the land-use supply and demand in a region and promoting the sustainable utilization of land resources. In essence, LUA optimization is a multi-objective optimization problem under the land use supply and demand constraints in a region. In order to obtain a better sustainable multi-objective LUA optimization solution, the present study proposes a LUA model based on the multi-objective artificial immune optimization algorithm (MOAIM-LUA model. The main achievements of the present study are as follows: (a the land-use supply and demand factors are analyzed and the constraint conditions of LUA optimization problems are constructed based on the analysis framework of the balance between the land use supply and demand; (b the optimization objectives of LUA optimization problems are defined and modeled using ecosystem service value theory and land rent and price theory; and (c a multi-objective optimization algorithm is designed for solving multi-objective LUA optimization problems based on the novel immune clonal algorithm (NICA. On the basis of the aforementioned achievements, MOAIM-LUA was applied to a real case study of land-use planning in Anlu County, China. Compared to the current land use situation in Anlu County, optimized LUA solutions offer improvements in the social and ecological objective areas. Compared to the existing models, such as the non-dominated sorting genetic algorithm-II, experimental results demonstrate that the model designed in the present study can obtain better non-dominated solution sets and is superior in terms of algorithm stability.

  17. Design and Applications of Land Resources and Ecological Environment Information System:A Case Study of Zigui County in the Three Gorges Area of China

    Institute of Scientific and Technical Information of China (English)

    2002-01-01

    The design and applications of a land information system built upon ARC/INFO and ArcView arepresented. The proposed system not only maintains all the advantages of the more conventional implemen-tations but also enhances them in the following ways: 1) the application program interfaces (API) are usedto transmit data and messages among different parts of the system; 2) the integrated system can supportstudies on land evaluations and ecological analyses by efficient management of attribute and spatial dataand 3) correspondingly, spatial records and attributive records are linked by the same identifiers (ID). Acase study application in Zigui County of the Three Gorges Area in China demonstrates that the systemcould employ land-use maps and land property data to predicate and analyze the land utilization changes inthe past, present and future. The ecological environment analysis can be carried out with the data of land,economics and terrain map used, showing that the system can be widely applied, especially to survey landand environment resources in the countryside area.

  18. 75 FR 54649 - National Register of Historic Places; Notification of Pending Nominations and Related Actions

    Science.gov (United States)

    2010-09-08

    ... National Forest, Deschutes National Forest, Cascaia, Sisters, 10000795 Malheur County Owyhee Dam Historic District, Owyhee Lake Rd; 11 mi SW of Adrian, Adrian, 10000791 Multnomah County Campbell, David,...

  19. Effect of Organic Amendment Application Rate on Greenhouse Gas Emissions at an Organic Farm in Santa Barbara County, California

    Science.gov (United States)

    Oyewole, M.; King, J. Y.; Cleveland, D. A.

    2015-12-01

    Though greenhouse gas emissions (GHGEs) from mineral fertilizer application in agriculture have been well studied, the effect of organic amendment (OA) application rate on GHGEs is not yet understood. Application of multiple OAs can improve different properties that control soil fertility, including nutrient availability, aggregate stability, and water-holding capacity. We measured nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4) flux at an organic farm in Goleta, CA in order to understand how OA application rate affects GHGEs and crop yield from agricultural soils. Based on management practices in the region, we asked farm managers to establish high compost (HC) and low compost (LC) treatments during the growing season of an annual crop (18.2, 9.13 Mg ha-1, respectively), and we measured GHGEs in beds and furrows using static chambers. Organic fertilizer (672 kg ha-1) was applied equally to HC and LC beds six weeks after compost application. Overall, emissions of N2O and CO2 were higher in HC than LC, but yield-scaled emissions were higher in LC. Importantly, treatment differences in both N2O and CO2 emissions were not apparent until after mid-season fertilizer application. Net CH4 uptake was higher in HC than LC in the furrows, but there was no difference in the beds. Our data suggest that high compost application rates likely increased SOM mineralization, soil water content, and nitrification and denitrification rates in HC relative to LC, which led to higher N2O emissions during the growing season. Fertilization primed SOM decomposition and increased soil respiration, which led to increased CO2 emissions. Our results suggest that improved management of application rate and timing during use of multiple OAs could reduce GHGEs while maintaining high crop yield. Understanding the mechanisms by which OA application rates alter the balance between GHGEs and yield is an important step toward reducing agriculture's contribution to climate change through

  20. Smaller Communities Program: Grant and Wheeler Counties, Oregon. Combined Economic Base Report and Applicant Potential Report; An Evaluation of the Economic and Human Resources of a Rural Oregon County.

    Science.gov (United States)

    Oregon State Dept. of Employment, Salem.

    Prepared by the Smaller Communities Services Program of the Oregon Department of Employment, this 1968 report summarizes the program findings with relation to Grant and Wheeler counties, Oregon. As stated, the overall objective of the program was promotion of the economic adjustment of specific rural, low-income areas--including the occupational…

  1. 78 FR 28576 - Foreign-Trade Zone 52-Suffolk County, New York; Application for Reorganization Under Alternative...

    Science.gov (United States)

    2013-05-15

    ... 52 was approved by the FTZ Board on December 13, 1979 (Board Order 150, 44 FR 76381, 12/26/1979). The... adjacent to the JFK Airport Customs and Border Protection port of entry. The applicant is...

  2. 76 FR 65171 - Foreign-Trade Zone 272-Counties of Lehigh and Northampton, PA; Application for Reorganization...

    Science.gov (United States)

    2011-10-20

    ... Zones (FTZ) Board (the Board) by the Lehigh Valley Economic Development Corporation, grantee of FTZ 272... Customs and Border Protection port of entry. The applicant is requesting authority to reorganize its... sites. The ASF allows for the possible exemption of one magnet site from the ``sunset'' time limits...

  3. 76 FR 70957 - Foreign-Trade Zone 277-Western Maricopa County, AZ; Application for Manufacturing Authority, Sub...

    Science.gov (United States)

    2011-11-16

    ... Manufacturing Authority, Sub-Zero, Inc. (Refrigerators and Freezers), Goodyear, AZ An application has been..., Inc., grantee of FTZ 277, requesting manufacturing authority on behalf of Sub-Zero, Inc. (Sub-Zero... was formally filed on November 10, 2011. The Sub-Zero facility (260 employees, 10 acres, 150,000...

  4. 76 FR 66685 - Foreign-Trade Zone 37-Orange County, NY, Application for Subzone, ITT Water Technology, Inc...

    Science.gov (United States)

    2011-10-27

    ... Technology, Inc. (Centrifugal and Submersible Pumps), Auburn, NY An application has been submitted to the... special purpose subzone status for the centrifugal and submersible pump manufacturing and warehousing... facilities are used to manufacture and distribute centrifugal and submersible pumps and related...

  5. 77 FR 55204 - Pubic Utility District No. 1 of Chelan County; Notice of Application Accepted for Filing and...

    Science.gov (United States)

    2012-09-07

    ... upstream side of the State Road 285 bridge. PWUA proposes to construct a pump intake, fish screen and... application is available for inspection and reproduction at the Commission's Public Reference Room, located at... inspection and reproduction at the address in item (h) above. m. Individuals desiring to be included on...

  6. Changes in Organic Carbon and Nutrient Contents of Highly Productive Paddy Soils in Yujiang County of Jiangxi Province, China and Their Environmental Application

    Institute of Scientific and Technical Information of China (English)

    LI Zhong-pei; ZHANG Tao-lin; CHEN Bi-yun

    2006-01-01

    Paddy field is an important land use in subtropical China. Development of high soil fertility and productivity is the management goal of paddy field. Fertilization and management practices have not only influenced the status of organic matter and nutrients in the soil but also affected the environmental quality. This article investigates the contents of organic carbon and the nutrients, and the change over the last 20 years in highly productive paddy soils and their environmental application. Field soils were sampled and the analytical results were compared with the corresponding values in the Second Soil Survey in Yujiang County of Jiangxi Province, China. The results showed that surface soils at a depth of 0-10 cm in highly productive paddy fields in Yujiang County of Jiangxi Province had contents of organic carbon (20.2 ± 3.88) g kg-1, total nitrogen (2.09 ± 0.55) g kg-1, and available phosphorus (42.7 ± 32.7) mg kg-1, respectively,which were all at very rich levels. Over the last 20 years, the organic carbon pool of the highly productive paddy soils reached a steady state. Total N and available P significantly increased, whereas available K changed a little. The amount and percentage of P immobilization in the surface soil (0-10 cm) of highly productive paddy fields were (142.7 ± 41.1) mg kg-1and (36.2± 10.4)% of added P, and CEC (7.93 ± 1.32) cmol kg-1. These two parameters were not higher than the mean values of paddy soils and upland red soils in the areas. Results also showed that fertilizer P in highly productive paddy soils had a high mobility and was prone to move toward a water body, which is the main source of nutrients causing eutrophication.Because of a weak K-fixing capacity, the available K content was not high in highly productive paddy soils. This suggests that attention should be paid to the K balance and the increase of soil K pool.

  7. Preliminary draft industrial siting administration permit application: Socioeconomic factors technical report. Final technical report, November 1980-May 1982. [Proposed WyCoalGas project in Converse County, Wyoming

    Energy Technology Data Exchange (ETDEWEB)

    1982-01-01

    Under the with-project scenario, WyCoalGas is projected to make a difference in the long-range future of Converse County. Because of the size of the proposed construction and operations work forces, the projected changes in employment, income, labor force, and population will alter Converse County's economic role in the region. Specifically, as growth occurs, Converse County will begin to satisfy a larger portion of its own higher-ordered demands, those that are currently being satisfied by the economy of Casper. Business-serving and household-serving activities, currently absent, will find the larger income and population base forecast to occur with the WyCoalGas project desirable. Converse County's economy will begin to mature, moving away from strict dependence on extractive industries to a more sophisticated structure that could eventually appeal to national, and certainly, regional markets. The technical demand of the WyCoalGas plant will mean a significant influx of varying occupations and skills. The creation of basic manufacturing, advanced trade and service sectors, and concomitant finance and transportation firms will make Converse County more economically autonomous. The county will also begin to serve market center functions for the smaller counties of eastern Wyoming that currently rely on Casper, Cheyenne or other distant market centers. The projected conditions expected to exist in the absence of the WyCoalGas project, the socioeconomic conditions that would accompany the project, and the differences between the two scenarios are considered. The analysis is keyed to the linkages between Converse County and Natrona County.

  8. Hydrogeologic barriers to the infiltration of treated wastewater at the Joint Base McGuire-Dix-Lakehurst Land Application Site, Burlington County, New Jersey

    Science.gov (United States)

    Fiore, Alex R.

    2016-09-02

    For the final phase of wastewater treatment operations at Joint Base McGuire-Dix-Lakehurst in Burlington County, New Jersey, treated effluent is pumped to 12 infiltration basins on a Land Application Site to recharge the unconfined Kirkwood-Cohansey aquifer system. Two of the 12 infiltration basins are operationally ineffective because discharged effluent fails to percolate and remains ponded on the basin surfaces. A study conducted by the U.S. Geological Survey, in cooperation with the U.S. Department of Defense, investigated the potential hydrogeologic conditions preventing infiltration in these basins by testing the geophysical, lithological, and hydraulic characteristics of the aquifer material underlying the site. Saturated sand, sandy clay, and unsaturated sand were encountered in succession through the upper 4 feet of sediment below land surface at the two ineffective basins. Water levels in auger borings penetrating the clay and underlying dry sand were measured as deeper than water levels in nested auger borings in the saturated sand overlying the clay, which indicates a downward vertical gradient was established after removal of the clay in the deeper borings created a conduit for drainage from the surficial saturated sands. Ground-penetrating radar surveys and additional water levels measured in piezometer wells adjacent to the infiltration basins indicated a lack of connectivity between the ponded basin water and the regional water table, and demonstrated that perched conditions were not present in native formation materials outside the inoperable basins. Therefore, the near-surface low permeability clay is likely preventing infiltration from the basin surface and causes the ineffectiveness of the two basins for wastewater land application operations.

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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,...

  14. 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...

  15. 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.

  16. 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...

  17. 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...

  18. 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...

  19. 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,...

  20. 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,...

  1. 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,...

  2. 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,...

  3. 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...

  4. 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,...

  5. 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,...

  6. 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...

  7. 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...

  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 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...

  10. 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...

  11. 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...

  12. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Hypertension Hospitalization data for 2013-2015, by age group, for Allegheny County. The information provided shows the number of individuals who were diagnosed...

  13. Monitoring county-level chlamydia incidence in Texas, 2004 – 2005: application of empirical Bayesian smoothing and Exploratory Spatial Data Analysis (ESDA) methods

    OpenAIRE

    Owens Chantelle J; Owusu-Edusei Kwame

    2009-01-01

    Abstract Background Chlamydia continues to be the most prevalent disease in the United States. Effective spatial monitoring of chlamydia incidence is important for successful implementation of control and prevention programs. The objective of this study is to apply Bayesian smoothing and exploratory spatial data analysis (ESDA) methods to monitor Texas county-level chlamydia incidence rates by examining spatiotemporal patterns. We used county-level data on chlamydia incidence (for all ages, g...

  14. Monitoring county-level chlamydia incidence in Texas, 2004 – 2005: application of empirical Bayesian smoothing and Exploratory Spatial Data Analysis (ESDA) methods

    Science.gov (United States)

    Owusu-Edusei, Kwame; Owens, Chantelle J

    2009-01-01

    Background Chlamydia continues to be the most prevalent disease in the United States. Effective spatial monitoring of chlamydia incidence is important for successful implementation of control and prevention programs. The objective of this study is to apply Bayesian smoothing and exploratory spatial data analysis (ESDA) methods to monitor Texas county-level chlamydia incidence rates by examining spatiotemporal patterns. We used county-level data on chlamydia incidence (for all ages, gender and races) from the National Electronic Telecommunications System for Surveillance (NETSS) for 2004 and 2005. Results Bayesian-smoothed chlamydia incidence rates were spatially dependent both in levels and in relative changes. Erath county had significantly (p 300 cases per 100,000 residents) than its contiguous neighbors (195 or less) in both years. Gaines county experienced the highest relative increase in smoothed rates (173% – 139 to 379). The relative change in smoothed chlamydia rates in Newton county was significantly (p < 0.05) higher than its contiguous neighbors. Conclusion Bayesian smoothing and ESDA methods can assist programs in using chlamydia surveillance data to identify outliers, as well as relevant changes in chlamydia incidence in specific geographic units. Secondly, it may also indirectly help in assessing existing differences and changes in chlamydia surveillance systems over time. PMID:19245686

  15. Monitoring county-level chlamydia incidence in Texas, 2004 – 2005: application of empirical Bayesian smoothing and Exploratory Spatial Data Analysis (ESDA methods

    Directory of Open Access Journals (Sweden)

    Owens Chantelle J

    2009-02-01

    Full Text Available Abstract Background Chlamydia continues to be the most prevalent disease in the United States. Effective spatial monitoring of chlamydia incidence is important for successful implementation of control and prevention programs. The objective of this study is to apply Bayesian smoothing and exploratory spatial data analysis (ESDA methods to monitor Texas county-level chlamydia incidence rates by examining spatiotemporal patterns. We used county-level data on chlamydia incidence (for all ages, gender and races from the National Electronic Telecommunications System for Surveillance (NETSS for 2004 and 2005. Results Bayesian-smoothed chlamydia incidence rates were spatially dependent both in levels and in relative changes. Erath county had significantly (p 300 cases per 100,000 residents than its contiguous neighbors (195 or less in both years. Gaines county experienced the highest relative increase in smoothed rates (173% – 139 to 379. The relative change in smoothed chlamydia rates in Newton county was significantly (p Conclusion Bayesian smoothing and ESDA methods can assist programs in using chlamydia surveillance data to identify outliers, as well as relevant changes in chlamydia incidence in specific geographic units. Secondly, it may also indirectly help in assessing existing differences and changes in chlamydia surveillance systems over time.

  16. Model county ordinance for wind projects

    Energy Technology Data Exchange (ETDEWEB)

    Bain, D.A. [Oregon Office of Energy, Portland, OR (United States)

    1997-12-31

    Permitting is a crucial step in the development cycle of a wind project and permits affect the timing, cost, location, feasibility, layout, and impacts of wind projects. Counties often have the lead responsibility for permitting yet few have appropriate siting regulations for wind projects. A model ordinance allows a county to quickly adopt appropriate permitting procedures. The model county wind ordinance developed for use by northwest states is generally applicable across the country and counties seeking to adopt siting or zoning regulations for wind will find it a good starting place. The model includes permitting procedures for wind measurement devices and two types of wind systems. Both discretionary and nondiscretionary standards apply to wind systems and a conditional use permit would be issued. The standards, criteria, conditions for approval, and process procedures are defined for each. Adaptation examples for the four northwest states are provided along with a model Wind Resource Overlay Zone.

  17. Based on a multi-agent system for multi-scale simulation and application of household's LUCC: a case study for Mengcha village, Mizhi county, Shaanxi province.

    Science.gov (United States)

    Chen, Hai; Liang, Xiaoying; Li, Rui

    2013-01-01

    Multi-Agent Systems (MAS) offer a conceptual approach to include multi-actor decision making into models of land use change. Through the simulation based on the MAS, this paper tries to show the application of MAS in the micro scale LUCC, and reveal the transformation mechanism of difference scale. This paper starts with a description of the context of MAS research. Then, it adopts the Nested Spatial Choice (NSC) method to construct the multi-scale LUCC decision-making model. And a case study for Mengcha village, Mizhi County, Shaanxi Province is reported. Finally, the potentials and drawbacks of the following approach is discussed and concluded. From our design and implementation of the MAS in multi-scale model, a number of observations and conclusions can be drawn on the implementation and future research directions. (1) The use of the LUCC decision-making and multi-scale transformation framework provides, according to us, a more realistic modeling of multi-scale decision making process. (2) By using continuous function, rather than discrete function, to construct the decision-making of the households is more realistic to reflect the effect. (3) In this paper, attempts have been made to give a quantitative analysis to research the household interaction. And it provides the premise and foundation for researching the communication and learning among the households. (4) The scale transformation architecture constructed in this paper helps to accumulate theory and experience for the interaction research between the micro land use decision-making and the macro land use landscape pattern. Our future research work will focus on: (1) how to rational use risk aversion principle, and put the rule on rotation between household parcels into model. (2) Exploring the methods aiming at researching the household decision-making over a long period, it allows us to find the bridge between the long-term LUCC data and the short-term household decision-making. (3) Researching the

  18. 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)...

  19. 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...

  20. 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...

  1. 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.

  2. 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...

  3. 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…

  4. 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...

  5. 75 FR 11194 - San Diego County Water Authority Natural Communities Conservation Program/Habitat Conservation...

    Science.gov (United States)

    2010-03-10

    ... Fish and Wildlife Service San Diego County Water Authority Natural Communities Conservation Program/Habitat Conservation Plan, San Diego and Riverside Counties, CA AGENCY: Fish and Wildlife Service... application, and notice of public meetings for the San Diego County Water Authority's (Water...

  6. GIS grid calculation method application in urban eco-environment assessment: a case study of Longxi County in Gansu Province, China

    Science.gov (United States)

    Zhang, Xiaojun; Dong, Suocheng; Yin, Weihong; Li, Shuang; Gao, Zhiqiang

    2005-09-01

    Under the guidance of eco-city theory, and its practice in China, we use grid calculation method of GIS & landsat pictures of remote sensing to assess the urban eco-environment quality, e.g. the situation and quality of water, air, land & soil in Longxi County, which is a poverty stricken county in long history in west China. Then we use the dynamic system to simulate the urban system of Longxi County, in which we contrast two kinds of developing models, i.e. the normal & transitional ways, and three types of indexes to evaluate the benefits of the developing model, i.e. the environmental, social and economical indexes. We try to find out the driving forces of the transition, which are population, economy, technology, governance, etc. The change of driving forces is the main factor that shapes the future Longxi, and the model shows that if the local policy makers had adopted the eco-city theory, the benefit of transitional eco-city would exceed the normal developing way, and the urban ecology would also be more stable, and the economy of Longxi would be more efficient. So only if the Longxi County were an eco-city, which composed by many eco-towns, eco-villages (some villages have begin to put this theory into practice), that the urban development of Longxi can be sustainable, compared with the normal developing way. And the main economic activities in Longxi will also be the recycling-economy, and resources-saving society, which can best utilize the resources of current Longxi.

  7. Election Districts and Precincts, This layer was compiled using our GPS information collected for the USPLS, county board recommendations & the state legislature., Published in 2013, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Election Districts and Precincts dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 2013. It is...

  8. Application of wind and light energy in drip irrigation of Fuchuan County%广西富川风光互补滴灌应用初探

    Institute of Scientific and Technical Information of China (English)

    覃通; 李桂新

    2015-01-01

    Analysis was made on the wind and solar energy resources of Fuchuan County in Guangxi,based on which the authors discuss the feasibility of utilizing wind and light energy for pump station power supply of drip irri⁃gation projects.%分析了广西富川县的风能和太阳能资源,探讨了富川县利用风、光能互补为抽水泵提供能源,进行滴灌的可行性。

  9. 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....

  10. 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...

  11. 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.

  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. 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...

  14. 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...

  15. 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,...

  16. 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,...

  17. Application of GeoMedia Topology Check in the Second Land Investigation Data of Zhenlai County%利用GeoMedia软件对镇赉县农村二调数据进行拓扑关系检查

    Institute of Scientific and Technical Information of China (English)

    刘聪; 谷全功; 侯中卫

    2011-01-01

    This paper studied the application of GeoMedia topology check in the second land investigation data of Zhenlai County.It describes the requirements of topology of the second land investigation data,and discusses how to use Geomeida to check and modify the topology errors,and establish the correct topology.%利用GeoMedia软件对镇赉县第二次农村土地调查数据进行拓扑关系检查的研究,介绍了农村二调数据的拓扑关系要求以及如何利用GeoMedia检查拓扑关系并修改拓扑错误,建立正确的拓扑关系。

  18. 基于ERDAS的贵州省水城县三维地形可视化与应用研究%3D Terrain Visualization and Application in Shuicheng County of Guizhou Province Based on ERDAS

    Institute of Scientific and Technical Information of China (English)

    马士彬; 刘兴荣; 谌洪星

    2011-01-01

    在阐述国内外专家、学者已取得的研究成果的基础上,以ERDAS为数据主要处理工具,建立水城县三维地形可视化模型,探讨了地形三维可视化分析功能及其在城市规划、道路建设、石漠化治理以及地理教学中的应用.%Based on the research achievements, with ERDAS as main data processing tool, the 3D terrain visualization model in Shuicheng County was established, the analysis function of 3D terrain visualization and the application in the urban planning, road construction, desertifi cation governing and geography teaching were discussed.

  19. 7 CFR 947.51 - Recommendations for regulations.

    Science.gov (United States)

    2010-01-01

    ... SISKIYOU COUNTIES, CALIF., AND IN ALL COUNTIES IN OREGON, EXCEPT MALHEUR COUNTY Order Regulating Handling... amendments thereto, in order to facilitate the handling of potatoes for the purposes authorized in §...

  20. 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.

  1. Measuring Research on County Agricultural Technological Innovation Ability Index

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    Taking the mechanism of technological construction guidance theory and mode which consists of "objective-construction-evaluation-construction-objective" as a starting point, on the basis of county agricultural technological innovation ability and its index definition, this paper researches the constructing system of county agricultural technological innovation ability. Firstly, on the basis of defining county agricultural technological innovation ability and the definition of index, according to the principle of purposefulness, scientificity, systematicness, integration of dynamic state and static state, integration of quantitativeness and qualitativeness and so on, we construct the multi-level measuring system of county agricultural technological innovation ability, including 4 first-level indices, namely technological innovation environment, technological innovation basis, technological innovation ability, and technological innovation efficiency; 15 second-level indices, such as technological policy, technological system mechanism, technological institution construction, ability of innovation subject, ability of industrial expansion, scale merit, technological contribution rate. Moreover, this system has 45 third-level indices. Then, by using unascertained mathematics method and AHM method, we establish the multi-level unascertained composite measuring model of county agricultural technological innovation ability index. Finally, by using the survey data of one county in Hebei Province, and the established county agricultural technological innovation ability index model, we get the county agricultural technological innovation ability index of 0.711 by calculation, that is, the innovation ability is at the intermediate level, namely the modern agricultural sub-stage. The empirical research proves the correctness and applicability of this model.

  2. 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...

  3. 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...

  4. 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...

  5. Allegheny County Poor Housing Conditions

    Data.gov (United States)

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

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 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...

  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. Geothermal direct-heat study: Imperial County, California

    Energy Technology Data Exchange (ETDEWEB)

    1983-05-01

    Potential applications of geothermal energy which would be compatible with the agricultural activities in the county were identified and a plan to attract potential users to the area was developed. The intent of the first effort was to identify general classifications of industries which could utilize geothermal heat in production processes. Two levels of analyses were utilized for this effort. Initially, activities relying on previously developed engineering and industrial concepts were investigated to determine capital costs, employment, and potential energy savings. Second, innovative concepts not yet fully developed were investigated to determine their potential applicability to the agricultural base of the county. These investigations indicated that the major potential applications of geothermal heat would involve industries related to food processing or other direct agriculture-related uses of raw materials produced or imported to the county. An implementation plan which can be utilized by the county to market direct heat applications was developed. A socioeconomics analysis examined the potential effects on the county from development of direct heat projects. The county's planning and permitting requirements for dirct heat projects were also examined.

  18. 78 FR 52973 - ICG Knott County, LLC, a Subsidiary of ICG, Inc., a Subsidiary of Arch Coal, Inc.; Including On...

    Science.gov (United States)

    2013-08-27

    ... Employment and Training Administration ICG Knott County, LLC, a Subsidiary of ICG, Inc., a Subsidiary of Arch... Regarding Application for Reconsideration for the workers and former workers of ICG Knott County, LLC, a... group eligibility of ICG Knott County, LLC, a subsidiary of ICG, Inc., a subsidiary of Arch Coal,...

  19. Applicability of the Theory of Planned Behavior (TPB to Predict Acceptance of Cooperative System: The Case of Boyer-Ahmad County

    Directory of Open Access Journals (Sweden)

    Morteza Noori

    2013-08-01

    Technically, structural equation modeling (SEM has been used to test and to estimate causal relations specified in the theoretical model. This type of modeling technique allows for inclusion of latent variables in the models that are not directly measured. Thus, this model allows for incorporation of attitude, subjective norm and perceived behavioral control as latent variables that are indicated by observed variables. In addition, diagnostic parameter such as Chi-square (χ2; Root Mean Square Error of Approximation (RMSEA; Goodness-of-Fit Index (GFI; the Adjusted Goodness of Fit Index (AGFI; the Comparative-Fit-Index (CFI and the Normed-Fit-Index (NFI also considered as indicator of the model goodness-of-fit. Survey research method with a pre-structured questionnaire was used to collect data. The validity of the questionnaire was verified by experts and the reliability of research tool was also measured and verified through a pilot study in Sisakht county, Kohgiluye-BoyerAhmad province, using Cronbach’s Alpha reliability coefficient (0.578- 0.944 which pass the widely accepted threshold value. These measures ensure that latent variables are inter

  20. Simulation of Streamflow and Selected Water-Quality Constituents through a Model of the Onondaga Lake Basin, Onondaga County, New York - A Guide to Model Application

    Science.gov (United States)

    Coon, William F.

    2008-01-01

    A computer model of hydrologic and water-quality processes of the Onondaga Lake basin in Onondaga County, N.Y., was developed during 2003-07 to assist water-resources managers in making basin-wide management decisions that could affect peak flows and the water quality of tributaries to Onondaga Lake. The model was developed with the Hydrological Simulation Program-Fortran (HSPF) and was designed to allow simulation of proposed or hypothetical land-use changes, best-management practices (BMPs), and instream stormwater-detention basins such that their effects on flows and loads of suspended sediment, orthophosphate, total phosphorus, ammonia, organic nitrogen, and nitrate could be analyzed. Extreme weather conditions, such as intense storms and prolonged droughts, can be simulated through manipulation of the precipitation record. Model results obtained from different scenarios can then be compared and analyzed through an interactive computer program known as Generation and Analysis of Model Simulation Scenarios for Watersheds (GenScn). Background information on HSPF and GenScn is presented to familiarize the user with these two programs. Step-by-step examples are provided on (1) the creation of land-use, BMP, and stormflow-detention scenarios for simulation by the HSPF model, and (2) the analysis of simulation results through GenScn.

  1. 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)

  2. County and Parish Boundaries, Published in Not Provided, Politecnico di Milano.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset as of Not Provided. Data by this publisher are often provided in Not Applicable coordinate system; in a Not Applicable...

  3. Trails, Other, This would include horse trails, ATV Trails & cross country ski trails., Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, Other dataset, published at Not Applicable scale, was produced all or in part from Field Observation information as of 2012. It is described as 'This...

  4. Addresses, Address point layer gathered with both field observation and from orthoimagery., Published in 01/01/2, Not Applicable scale, Jackson County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Addresses dataset, published at Not Applicable scale, was produced all or in part from Orthoimagery information as of 01/01/2. It is described as 'Address point...

  5. 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.

  6. Geothermal development plan: Cochise-Santa Cruz counties

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

    A total of five hot springs and 25 thermal wells are located within the combined counties. The water discharged from these hot springs and wells may be suitable for applications such as process heat and space heating and cooling. Within Cochise county there are two large firms which are capable of using 70/sup 0/C (158/sup 0/F) geothermal water for their process heat requirements but the potential use of geothermal energy in Santa Cruz county is limited due to the absence of industry within the county. The amount of geothermal energy on line as a function of time under both private and city-owned utility development is also predicted using a computer simulation model.

  7. 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.

  8. 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?"

  9. Improved Oil Recovery from Upper Jurassic Smackover Carbonates through the Application of Advanced Technologies at Womack Hill Oil Field, Choctaw and Clarke Counties, Eastern Gulf Costal Plain

    Energy Technology Data Exchange (ETDEWEB)

    Ernest A. Mancini

    2006-05-31

    Pruet Production Co. and the Center for Sedimentary Basin Studies at the University of Alabama, in cooperation with Texas A&M University, Mississippi State University, University of Mississippi, and Wayne Stafford and Associates proposed a three-phase, focused, comprehensive, integrated and multidisciplinary study of Upper Jurassic Smackover carbonates (Class II Reservoir), involving reservoir characterization and 3-D modeling (Phase I) and a field demonstration project (Phases II and III) at Womack Hill Field Unit, Choctaw and Clarke Counties, Alabama, eastern Gulf Coastal Plain. Phase I of the project has been completed. The principal objectives of the project are: increasing the productivity and profitability of the Womack Hill Field Unit, thereby extending the economic life of this Class II Reservoir and transferring effectively and in a timely manner the knowledge gained and technology developed from this project to producers who are operating other domestic fields with Class II Reservoirs. The major tasks of the project included reservoir characterization, recovery technology analysis, recovery technology evaluation, and the decision to implement a demonstration project. Reservoir characterization consisted of geoscientific reservoir characterization, petrophysical and engineering property characterization, microbial characterization, and integration of the characterization data. Recovery technology analysis included 3-D geologic modeling, reservoir simulation, and microbial core experiments. Recovery technology evaluation consisted of acquiring and evaluating new high quality 2-D seismic data, evaluating the existing pressure maintenance project in the Womack Hill Field Unit, and evaluating the concept of an immobilized enzyme technology project for the Womack Hill Field Unit. The decision to implement a demonstration project essentially resulted in the decision on whether to conduct an infill drilling project in Womack Hill Field. Reservoir performance

  10. Improved Oil Recovery from Upper Jurassic Smackover Carbonates through the Application of Advanced Technologies at Womack Hill Oil Field, Choctaw and Clarke Counties, Eastern Gulf Coastal Plain

    Energy Technology Data Exchange (ETDEWEB)

    Ernest A. Mancini

    2003-12-31

    Pruet Production Co. and the Center for Sedimentary Basin Studies at the University of Alabama, in cooperation with Texas A&M University, Mississippi State University, University of Mississippi, and Wayne Stafford and Associates proposed a three-phase, focused, comprehensive, integrated and multidisciplinary study of Upper Jurassic Smackover carbonates (Class II Reservoir), involving reservoir characterization and 3-D modeling (Phase I) and a field demonstration project (Phases II and III) at Womack Hill Field Unit, Choctaw and Clarke Counties, Alabama, eastern Gulf Coastal Plain. Phase I of the project has been completed. The principal objectives of the project are: increasing the productivity and profitability of the Womack Hill Field Unit, thereby extending the economic life of this Class II Reservoir and transferring effectively and in a timely manner the knowledge gained and technology developed from this project to producers who are operating other domestic fields with Class II Reservoirs. The major tasks of the project included reservoir characterization, recovery technology analysis, recovery technology evaluation, and the decision to implement a demonstration project. Reservoir characterization consisted of geoscientific reservoir characterization, petrophysical and engineering property characterization, microbial characterization, and integration of the characterization data. Recovery technology analysis included 3-D geologic modeling, reservoir simulation, and microbial core experiments. Recovery technology evaluation consisted of acquiring and evaluating new high quality 2-D seismic data, evaluating the existing pressure maintenance project in the Womack Hill Field Unit, and evaluating the concept of an immobilized enzyme technology project for the Womack Hill Field Unit. The decision to implement a demonstration project essentially resulted in the decision on whether to conduct an infill drilling project in Womack Hill Field. Reservoir performance

  11. SWOT分析法在县级二甲医院医政管理工作中的应用%Application of SWOT analysis dimethy hospital in the county Medical Ad-ministration Management Work

    Institute of Scientific and Technical Information of China (English)

    郭红梅; 李中建

    2015-01-01

    目的:探讨SWOT分析法如何在县级二甲医院医政管理工作中的应用,为基层医院管理者更好地管理和发展医院提供有价值的参考。方法应用SWOT分析法对县级二甲医院自身的优势、劣势以及外界环境中可能存在的机会和威胁,进行仔细的分析,明确医院医政管理要求,以此为依据制定相应的发展战略。结果采用SWOT分析法对县级二甲医院进行了全面的分析和总结,以此为基础,制定出了有利于医院未来生存和发展的的医政管理策略,保证了医疗服务的可及性和公平性,尽可能达到卫生资源利用效率最大化,提高患者的健康水平。SWOT分析法是二甲医院医政管理中很实用的方法,值得借鉴和推广。结论该文应用SWOT分析法对医院的内部因素即自身的优势和劣势以及外部因素即外界环境中可能存在的机会和威胁进行全面的分析,依靠自身优势的同时利用外部存在的机会来弥补内部存在的劣势,规避外部的威胁。%Objective To explore how to apply the SWOT analysis dimethyl hospital in the county health administration and management work, provide a valuable reference for the primary hospital managers to better manage and develop hospital. Methods SWOT analysis of the opportunities and threats that may exist at the county level dimethyl hospital's own strengths, weaknesses and the external environment, careful analysis, clear Hospital Practice Management requirements, as a basis to develop appropriate development strategies, help hospitals better survival and development. Results SWOT analysis of the county dimethyl hospital conducted a comprehensive analysis and summary, as a basis to work out in favor of the fu-ture survival and development of the hospital's Medical Administrative management strategy to ensure the availability of medical services and fairness, as far as possible to maximize health resources utilization

  12. 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....

  13. 77 FR 12824 - Dominion Transmission, Inc.; Notice of Application

    Science.gov (United States)

    2012-03-02

    ... glycol dehydration at DTI's existing Wolf Run compressor station in Lewis County, West Virginia... Cary Street, Richmond, Virginia 23219, filed an application in Docket No. CP12-72- 000 pursuant to..., Maryland; Monroe County, Ohio; Lewis County, West Virginia; and Tioga County, Pennsylvania....

  14. 7 CFR 958.51 - Recommendations for regulations.

    Science.gov (United States)

    2010-01-01

    ... DESIGNATED COUNTIES IN IDAHO, AND MALHEUR COUNTY, OREGON Order Regulating Handling Regulation § 958.51... thereto, in order to facilitate the handling of onions for the purposes authorized in § 958.53....

  15. 7 CFR 958.53 - Handling for specified purposes.

    Science.gov (United States)

    2010-01-01

    ... DESIGNATED COUNTIES IN IDAHO, AND MALHEUR COUNTY, OREGON Order Regulating Handling Regulation § 958.53..., in order to facilitate the handling of onions for the following purposes whenever he finds that to...

  16. 7 CFR 945.53 - Shipments for specified purposes.

    Science.gov (United States)

    2010-01-01

    ... POTATOES GROWN IN CERTAIN DESIGNATED COUNTIES IN IDAHO, AND MALHEUR COUNTY, OREGON Order Regulating... order to facilitate shipments of potatoes for the following purposes: (a) Export; (b) Relief or...

  17. Improved Oil Recovery from Upper Jurassic Smackover Carbonates through the Application of Advanced Technologies at Womack Hill Oil Field, Choctaw and Clarke Counties, Eastern Gulf Coastal Plain

    Energy Technology Data Exchange (ETDEWEB)

    Ernest A. Mancini

    2003-12-31

    Pruet Production Co. and the Center for Sedimentary Basin Studies at the University of Alabama, in cooperation with Texas A&M University, Mississippi State University, University of Mississippi, and Wayne Stafford and Associates proposed a three-phase, focused, comprehensive, integrated and multidisciplinary study of Upper Jurassic Smackover carbonates (Class II Reservoir), involving reservoir characterization and 3-D modeling (Phase I) and a field demonstration project (Phases II and III) at Womack Hill Field Unit, Choctaw and Clarke Counties, Alabama, eastern Gulf Coastal Plain. Phase I of the project has been completed. The principal objectives of the project are: increasing the productivity and profitability of the Womack Hill Field Unit, thereby extending the economic life of this Class II Reservoir and transferring effectively and in a timely manner the knowledge gained and technology developed from this project to producers who are operating other domestic fields with Class II Reservoirs. The major tasks of the project included reservoir characterization, recovery technology analysis, recovery technology evaluation, and the decision to implement a demonstration project. Reservoir characterization consisted of geoscientific reservoir characterization, petrophysical and engineering property characterization, microbial characterization, and integration of the characterization data. Recovery technology analysis included 3-D geologic modeling, reservoir simulation, and microbial core experiments. Recovery technology evaluation consisted of acquiring and evaluating new high quality 2-D seismic data, evaluating the existing pressure maintenance project in the Womack Hill Field Unit, and evaluating the concept of an immobilized enzyme technology project for the Womack Hill Field Unit. The decision to implement a demonstration project essentially resulted in the decision on whether to conduct an infill drilling project in Womack Hill Field. Reservoir performance

  18. Improved Oil Recovery from Upper Jurassic Smackover Carbonates through the Application of Advanced Technologies at Womack Hill Oil Field, Choctaw and Clarke Counties, Eastern Gulf Costal Plain

    Energy Technology Data Exchange (ETDEWEB)

    Ernest A. Mancini

    2006-05-31

    Pruet Production Co. and the Center for Sedimentary Basin Studies at the University of Alabama, in cooperation with Texas A&M University, Mississippi State University, University of Mississippi, and Wayne Stafford and Associates proposed a three-phase, focused, comprehensive, integrated and multidisciplinary study of Upper Jurassic Smackover carbonates (Class II Reservoir), involving reservoir characterization and 3-D modeling (Phase I) and a field demonstration project (Phases II and III) at Womack Hill Field Unit, Choctaw and Clarke Counties, Alabama, eastern Gulf Coastal Plain. Phase I of the project has been completed. The principal objectives of the project are: increasing the productivity and profitability of the Womack Hill Field Unit, thereby extending the economic life of this Class II Reservoir and transferring effectively and in a timely manner the knowledge gained and technology developed from this project to producers who are operating other domestic fields with Class II Reservoirs. The major tasks of the project included reservoir characterization, recovery technology analysis, recovery technology evaluation, and the decision to implement a demonstration project. Reservoir characterization consisted of geoscientific reservoir characterization, petrophysical and engineering property characterization, microbial characterization, and integration of the characterization data. Recovery technology analysis included 3-D geologic modeling, reservoir simulation, and microbial core experiments. Recovery technology evaluation consisted of acquiring and evaluating new high quality 2-D seismic data, evaluating the existing pressure maintenance project in the Womack Hill Field Unit, and evaluating the concept of an immobilized enzyme technology project for the Womack Hill Field Unit. The decision to implement a demonstration project essentially resulted in the decision on whether to conduct an infill drilling project in Womack Hill Field. Reservoir performance

  19. 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...

  20. 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.

  1. Application of Warning System against Potato Late Blight in Xiji County%马铃薯晚疫病预警系统在西吉县的应用

    Institute of Scientific and Technical Information of China (English)

    谢成君; 刘普明; 王颖; 穆长青

    2014-01-01

    2011~2013年西吉县应用比利时马铃薯晚疫病预警系统预测预报模型,确定3个区域马铃薯主要生育期内,病菌生成潜在侵染的次数和代数,准确地预报晚疫病发病期,确定最佳防治期及防治次数。通过监测指导统防统治田病指为3.56~7.12,农户自防区病指为8.05~16.55,空白对照区病指达21.13~40.45,比农户自防提高防效54.56%~72.30%、保产27.35%~36.03%,取得了显著的经济效益,并减少了杀菌剂施用量,保护了生态环境。%The potential infection times and generation of Phytophora infestans de Bary on potatoes in three areas were predicted in growing season of Xiji County in 2011-2013, and the late blight occurrence date and thereafter optimal date and number of fungicide application were determined based on a Belgium Warning System against Potato Late Blight. The disease index was 3.56-7.12 for potato field sprayed based on the warning system, 8.05-16.55 for field sprayed by farmers, and 21.13-40.45 for blank control, increasing control efficacy by 54.56%-72.30%and yield by 27.35%-36.03%compared with late blight control by farmers and therefore significantly increasing economic benefit and reducing environmental contamination by reducing the amount of fungicide used.

  2. Orange County Government Solar Demonstration and Research Facility

    Energy Technology Data Exchange (ETDEWEB)

    Parker, Renee [Orange County Florida, Orlando, Florida (United States); Cunniff, Lori [Orange County Florida, Orlando, Florida (United States)

    2015-05-12

    generation accessible for public viewing on an interactive kiosk located in the Orange County/University of Florida Cooperative Extension Center’s lobby where visitors can review “real time” power generation, cost savings and environmental benefits of the system. Site commissioning with the software program was delayed due to Internal Security Software issues within Orange County that needed to be resolved, therefore the “real time” capture of the production data for the solar array using the software program commenced on May 1, 2015. In addition an educational flyer was developed and is available in the Orange County Education Center’s main lobby. The project completed under this grant award assisted Orange County in demonstrating leadership by installing the application of a renewable energy technology combined with energy efficiency measures; resulting in reduced energy costs for the Orange County University of Florida Cooperative Extension Center, and helping Orange County citizens and visitors move towards the goals of greater energy independence and climate protection. The addition of the new Solar Demonstration and Research Facility has advanced the Orange County/University of Florida Cooperative Extension Center’s mission of extending, educating and providing research-based information to residents and visitors of Orange County by demonstrating the application of renewable energy technology combined with energy efficiency measures; resulting in reduced energy costs, and helping Orange County move towards the goal of greater energy independence and climate protection. In 2014, the Orange County Cooperative Extension Center hosted nearly 10,800 visitors to their on-site Exploration Gardens plus 12,686 walk-in visitors to their office plant clinic and other services. The Education Center held 2,217 educational events that were attended by 46,434 adults and youth, but about half of those events occurred off-site. Based on the visitation numbers in 2014 the

  3. 激光雷达技术在河南栾川县山洪灾害调查中的示范应用%Application of laser radar technique in flash flood disaster investigation in Luanchuan County

    Institute of Scientific and Technical Information of China (English)

    张琦建; 刘昌军; 唐学哲; 孙涛; 郭良

    2015-01-01

    In recent years, the airborne Lidar is widely applied due to its ability to quickly obtain the third degree ground terrain information with efficiency and accuracy. Using UAV laser radar measurement technique, this research acquired flash flood data in two typical smal watersheds of Luanchuan County and introduced the process of the technique. Considering requirements of flash flood disaster evaluations, this paper detailed various methods including classification of laser point cloud data, DEM production, data processing technique of river cross-sections, and key technology of the automatic extraction of houses location and elevation. UAV laser radar technology features rapid data acquisition speed and high precision; it can meet the requirements of flash flood disaster investigations and provides the application demonstration of this technology. Consequently, this technique wil play an important role in investigation of flash flood disasters and have great application prospect.%机载LiDAR技术获取地面三维地物信息快捷、高效,近年来发展迅速,应用广泛。介绍了无人机雷达技术的航测技术流程,结合山洪灾害调查评价的应用需求,论述了激光点云数据的分类方法,数字高程模型(DEM)制作方法,河道断面批处理方法,居民户位置和高程的自动提取方法等应用关键技术,并以栾川县2个山洪灾害典型小流域为例,开展了示范应用。研究表明,无人机激光雷达测量技术获取数据速度快、精度高,能够满足山洪灾害调查的工作要求,为全国无资料地区山洪灾害调查工作提供了新技术的应用示范,将在全国山洪灾害调查工作中发挥巨大作用,具有较大的应用前景。

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. ORTHOIMAGERY, LICKING 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...

  9. 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...

  10. 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...

  11. 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...

  12. Allegheny County Basin Outlines Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This basins dataset was created to initiate regional watershed approaches with respect to sewer rehabilitation. If viewing this description on the Western...

  13. 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...

  14. Uninsured Young Adults by County

    Data.gov (United States)

    U.S. Department of Health & Human Services — This data file indicates the estimated number of uninsured individuals ages 19-25 in each U.S. county. These individuals may be eligible to join their parents health...

  15. 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...

  16. 2009 SCDNR Berkeley 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 Berkeley County, South Carolina in 2009. In 2013, Dewberry was tasked with...

  17. 2009 Chatham County Georgia Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — LiDAR generated point cloud acquired in spring 2009 for Chatham County, Georgia for the Metropolitan Planning Commission. The data are classified as follows: Class...

  18. ORTHOIMAGERY, CLAY COUNTY, WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — NAIP is a program to acquire peak growing season ?leaf on? imagery, and deliver this imagery to USDA County Service Centers, in order to maintain the common land...

  19. 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...

  20. 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;...

  1. 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...

  2. Horry County Beach Management Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Horry County has coordinated with DHEC OCRM to fully inventory, analyze, and documenteach of the ten required elements for an approvable local comprehensive beach...

  3. 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...

  4. 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...

  5. 2009 Chatham County Georgia Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — LiDAR generated point cloud acquired in spring 2009 for Chatham County, Georgia for the Metropolitan Planning Commission. The data are classified as follows: Class 1...

  6. 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...

  7. 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...

  8. 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...

  9. 2004 Harrison County, MS Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the topographic mapping of Harrison County, Mississippi during March of 2004. Products generated include lidar point clouds in .LAS...

  10. County and Parish Boundaries, County_boundary, Published in 1998, 1:600 (1in=50ft) scale, Buffalo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:600 (1in=50ft) scale as of 1998. It is described as 'County_boundary'. Data by this publisher are often...

  11. Somerset County Flood Information System

    Science.gov (United States)

    Hoppe, Heidi L.

    2007-01-01

    The timely warning of a flood is crucial to the protection of lives and property. One has only to recall the floods of August 2, 1973, September 16 and 17, 1999, and April 16, 2007, in Somerset County, New Jersey, in which lives were lost and major property damage occurred, to realize how costly, especially in terms of human life, an unexpected flood can be. Accurate forecasts and warnings cannot be made, however, without detailed information about precipitation and streamflow in the drainage basin. Since the mid 1960's, the National Weather Service (NWS) has been able to forecast flooding on larger streams in Somerset County, such as the Raritan and Millstone Rivers. Flooding on smaller streams in urban areas was more difficult to predict. In response to this problem the NWS, in cooperation with the Green Brook Flood Control Commission, installed a precipitation gage in North Plainfield, and two flash-flood alarms, one on Green Brook at Seeley Mills and one on Stony Brook at Watchung, in the early 1970's. In 1978, New Jersey's first countywide flood-warning system was installed by the U.S. Geological Survey (USGS) in Somerset County. This system consisted of a network of eight stage and discharge gages equipped with precipitation gages linked by telephone telemetry and eight auxiliary precipitation gages. The gages were installed throughout the county to collect precipitation and runoff data that could be used to improve flood-monitoring capabilities and flood-frequency estimates. Recognizing the need for more detailed hydrologic information for Somerset County, the USGS, in cooperation with Somerset County, designed and installed the Somerset County Flood Information System (SCFIS) in 1990. This system is part of a statewide network of stream gages, precipitation gages, weather stations, and tide gages that collect data in real time. The data provided by the SCFIS improve the flood forecasting ability of the NWS and aid Somerset County and municipal agencies in

  12. BASEMAP, COAHOMA COUNTY, MS

    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,...

  13. BASEMAP, Holmes COUNTY, MS

    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,...

  14. BASEMAP, DARKE COUNTY, OHIO

    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,...

  15. BASEMAP, UINTAH COUNTY, USA

    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,...

  16. BASEMAP, Ross COUNTY, USA

    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,...

  17. BASEMAP, KENT COUNTY, MD

    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,...

  18. BASEMAP, LACLEDE COUNTY, USA

    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,...

  19. BASEMAP, MIAMI COUNTY, OHIO

    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,...

  20. BASEMAP, TRAVIS COUNTY, TEXAS

    Data.gov (United States)

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

  1. BASEMAP, ALLEN COUNTY, OHIO

    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. BASEMAP, ISSAQUENA COUNTY, MS

    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,...

  3. BASEMAP, KIOWA COUNTY, OKLAHOMA

    Data.gov (United States)

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

  4. BASEMAP, SOLANO COUNTY, CA

    Data.gov (United States)

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

  5. BASEMAP, WASHINGTON COUNTY, MS

    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,...

  6. BASEMAP, Tate COUNTY, MS

    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,...

  7. BASEMAP, SMITH COUNTY, MS

    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,...

  8. BASEMAP, MARSHALL COUNTY, MS

    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,...

  9. BASEMAP, PULASKI COUNTY, USA

    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,...

  10. BASEMAP, YAZOO COUNTY, MS

    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,...

  11. BASEMAP, MARION COUNTY, MS

    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,...

  12. BASEMAP, FRANKLIN COUNTY, MS

    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,...

  13. BASEMAP, CARROLL COUNTY, MS

    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,...

  14. BASEMAP, HUMPHREYS COUNTY, MS

    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,...

  15. BASEMAP, TULSA COUNTY, OKLAHOMA

    Data.gov (United States)

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

  16. BASEMAP, Ector COUNTY, TX

    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,...

  17. BASEMAP, TEXAS COUNTY, OK

    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,...

  18. 2010 South Carolina DNR Lidar: Sumter County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Provide high density LiDAR elevation data map of Sumter County, SC. Provide Bare Earth DEM (vegetation removal) of Sumter County, SC.

  19. Allegheny County Voting District Boundaries (2015)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  20. Allegheny County-Owned Bridges Points

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows the location of bridges owned by Allegheny County as centroids. If viewing this description on the Western Pennsylvania Regional Data Center’s...

  1. Allegheny County-Owned Roads Centerlines

    Data.gov (United States)

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

  2. Allegheny County-Owned Bridges Centerlines

    Data.gov (United States)

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

  3. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

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

  4. State of Aging in Allegheny County Survey

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — For more than three decades UCSUR has documented the status of older adults in the County along multiple life domains. Every decade we issue a comprehensive report...

  5. Allegheny County Pennsylvania Senate District Boundaries

    Data.gov (United States)

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

  6. Allegheny County Parks Data Web Map

    Data.gov (United States)

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

  7. 2012 FEMA Lidar: Middle Counties (VA)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by...

  8. Allegheny County Voting District (2015) Web Map

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This webmap demarcates municipal voting districts in Allegheny County. If viewing this description on the Western Pennsylvania Regional Data Center’s open data...

  9. 2012 FEMA Lidar: Southern Virginia Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Dewberry collected LiDAR for ~3,341 square miles in various Virginia Counties, a part of Worcester County, and Hoopers Island. The acquisition was performed by...

  10. Allegheny County Polling Place Locations (November 2015)

    Data.gov (United States)

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

  11. Allegheny County Magisterial Districts Outlines (2015)

    Data.gov (United States)

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

  12. Elevation - LIDAR Survey - Roseau County, Minnesota

    Data.gov (United States)

    Army Corps of Engineers, Department of the Army, Department of Defense — LIDAR Data for Roseau County Minnesota. This project consists of approximately 87 square miles of LIDAR mapping in Roseau County, Minnesota at two sites: area 1,...

  13. 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...

  14. 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...

  15. 2010 ARRA Lidar: Hampton County (SC)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Provide high density LiDAR elevation data map of Hampton County, SC. Provide Bare Earth DEM (vegetation removal) of Hampton County, SC.

  16. Allegheny County Particulate Matter 2.5

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The U.S. Environmental Protection Agency provides information on the particulate matter concentration for Allegheny County that have a diameter greater or equal to...

  17. Allegheny County Polling Place Locations (November 2016)

    Data.gov (United States)

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

  18. 77 FR 72968 - Revisions to the California State Implementation Plan, for Imperial County, Placer County and...

    Science.gov (United States)

    2012-12-07

    ... County and Ventura County Air Pollution Control Districts AGENCY: Environmental Protection Agency (EPA). ACTION: Direct final rule. SUMMARY: EPA is taking direct final action to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Placer County Air Pollution Control...

  19. 76 FR 12280 - Revisions to the California State Implementation Plan, for Imperial County, Kern County, and...

    Science.gov (United States)

    2011-03-07

    ... County, and Ventura County; Air Pollution Control Districts AGENCY: Environmental Protection Agency (EPA). ACTION: Direct final rule. SUMMARY: EPA is taking direct final action to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Kern County Air Pollution Control District...

  20. Geothermal development plan: Maricopa county

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

    Maricopa county is the area of Arizona receiving top priority since it contains over half of the state's population. The county is located entirely within the Basin and Range physiographic region in which geothermal resources are known to occur. Several approaches were taken to match potential users to geothermal resources. One approach involved matching some of the largest facilities in the county to nearby geothermal resources. Other approaches involved identifying industrial processes whose heat requirements are less than the average assessed geothermal reservoir temperature of 110/sup 0/C (230/sup 0/F). Since many of the industries are located on or near geothermal resources, geothermal energy potentially could be adapted to many industrial processes.

  1. Pumpage data from irrigation wells in eastern Laramie County, Wyoming, and Kimball County, Nebraska

    Science.gov (United States)

    Avery, Charles

    1983-01-01

    Quantitative information concerning pumpage by irrigation wells is an integral component of the U.S. Geological Survey High Plains Regional Aquifer System Analysis. Thus, operation time, discharge rate, and irrigated acreage were measured at approximately 450 randomly selected irrigation wells within 10 areas of the High Plains during the 1980 irrigation season. The data were used to estimate the seasonal mean application of water to crops and to project total pumpage by irrigation wells in 1980 throughout the High Plains area. As part of the sampling effort, 50 irrigation wells were randomly chosen from the area of eastern Laramie County, Wyoming, and Kimball County, Nebraska. Required information was collected on only 40 of the wells. For these wells, the seasonal mean application of water on the irrigated land was 15.2 inches. For the major crop types, the seasonal mean application, in inches, were as follows: alfalfa, 19.8; corn, 15.4; potatoes, 13.8; beans, 12.8; and small grains 10.2. (USGS)

  2. Hunting Plan : Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The purpose of this plan is to provide guidelines for administration of hunting activity and for development, maintenance, and enforcement of regulations and...

  3. Malheur National Wildlife Refuge : Interpretive Development Prospectus

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This Prospectus conceptually describes signs and orientation exhibits proposed for installation at decision or confusion points and interpretive exhibits proposed...

  4. The surficial aquifer in Pinellas County, Florida

    Science.gov (United States)

    Causseaux, K.W.

    1985-01-01

    The surficial aquifer in Pinellas County, Florida, contains potable water throughout most of the county and is a potential source of water to augment the public supply that is presently imported from adjacent counties. The county accounts for 38 percent of the public supply consumption of ground water in the 11-county area of west-central Florida and 68 percent of this water is imported from two adjacent counties. The surficial aquifer has a saturated thickness of more than 30 feet throughout most of the county. Specific capacity per foot of screen for wells is less than 0.1 gallon per minute per foot of drawdown in some parts of the county, but yield is sufficient in most of the county for many small uses with shallow-well pumps. Minimum potential yield varies from 5 gallons per minute in the northern part of the county to more than 30 gallons per minute in the south. Concentrations of iron are high enough in parts of the county to cause staining. Chloride concentrations are less than 100 milligrams per liter in most of the county and do not pose a problem for many uses. (USGS)

  5. Trouble Brewing in Orange County. Policy Brief

    Science.gov (United States)

    Buck, Stuart

    2010-01-01

    Orange County will soon face enormous budgetary pressures from the growing deficits in public pensions, both at a state and local level. In this policy brief, the author estimates that Orange County faces a total $41.2 billion liability for retiree benefits that are underfunded--including $9.4 billion for the county pension system and an estimated…

  6. Clinton County Child Care Needs Assessment

    OpenAIRE

    Elicker, James; Benner, Aprile; Hahn, Georgia; Hertzog, Jodie; Kensinger, Katherine

    1998-01-01

    The final report of a research study assessing current and future needs for child care in Clinton county. Counties with similar profiles may find the results relevant. The methods used also can serve as a model for other counties wishing to conduct their own assessments.

  7. Southern Nevada Library Services; Serving Lincoln County, Nye County, Esmeralda County through the Clark County Library District: An Evaluation.

    Science.gov (United States)

    Dalton, Phyllis I.

    An anecdotal review covers the first year of increased library service in Nye, Lincoln, and Esmeralda Counties, Nevada, under the Southern Nevada Library Services project funded by the Library Services and Construction Act. Using information from questionnaires and site visits, the extent of library services in each community in the area is…

  8. Somerset County Employer Needs Assessment.

    Science.gov (United States)

    Rephann, Terance J.

    Allegany Community College in Cumberland, Maryland, conducted an employer assessment survey of Somerset County businesses during the winter of 1995 in order to provide evaluation data for planning and curriculum development for the secondary and postsecondary educational institutions. The survey was mailed to 760 establishments, with a 29 percent…

  9. 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

  10. Water resources of Langlade County, Wisconsin

    Science.gov (United States)

    Batten, W. G.

    1987-01-01

    Langlade County depends almost exclusively on ground water pumped from the glacial sand and gravel deposits for its water needs. Well yields of 10 to 20 gallons per minute can be obtained from these deposits throughout most of the county. Yields of 500 to 1,000 gallons per minute are obtained for irrigation of crops from glacial outwash deposits in some areas of the county and particularly in the extensive 125-square-mile outwash plain in south-central Langlade County. Very low yields of less than 5 gallons per minute are obtainable for private domestic use from Precambrian crystalline rocks in areas of the county where overlying glacial material is thin. Glacial deposits are more than 400 feet thick in glacial moraine areas of east-central Langlade County; saturated thicknesses exceed 250 feet in the north-central part of the county.

  11. Orange County Government Solar Demonstration and Research Facility

    Energy Technology Data Exchange (ETDEWEB)

    Parker, Renee [Orange County Florida, Orlando, Florida (United States); Cunniff, Lori [Orange County Florida, Orlando, Florida (United States)

    2015-05-12

    generation accessible for public viewing on an interactive kiosk located in the Orange County/University of Florida Cooperative Extension Center’s lobby where visitors can review “real time” power generation, cost savings and environmental benefits of the system. Site commissioning with the software program was delayed due to Internal Security Software issues within Orange County that needed to be resolved, therefore the “real time” capture of the production data for the solar array using the software program commenced on May 1, 2015. In addition an educational flyer was developed and is available in the Orange County Education Center’s main lobby. The project completed under this grant award assisted Orange County in demonstrating leadership by installing the application of a renewable energy technology combined with energy efficiency measures; resulting in reduced energy costs for the Orange County University of Florida Cooperative Extension Center, and helping Orange County citizens and visitors move towards the goals of greater energy independence and climate protection. The addition of the new Solar Demonstration and Research Facility has advanced the Orange County/University of Florida Cooperative Extension Center’s mission of extending, educating and providing research-based information to residents and visitors of Orange County by demonstrating the application of renewable energy technology combined with energy efficiency measures; resulting in reduced energy costs, and helping Orange County move towards the goal of greater energy independence and climate protection. In 2014, the Orange County Cooperative Extension Center hosted nearly 10,800 visitors to their on-site Exploration Gardens plus 12,686 walk-in visitors to their office plant clinic and other services. The Education Center held 2,217 educational events that were attended by 46,434 adults and youth, but about half of those events occurred off-site. Based on the visitation numbers in 2014 the

  12. Determining Knowledge Level And Application Self Breast Check (Sbc And Breast Cancer Of Women In Muğla County, Bayır, Yerkesik and Yeşilyurt Health Center Areas

    Directory of Open Access Journals (Sweden)

    Gülcihan Çadır

    2006-12-01

    Full Text Available This study has been carried out in order to determine knowledge level and applicationof Self Breast Check (SBC and breast cancer of women over 20, in the areas MuglaCounty,Bayır, Yerkesik and Yeşilyurt Healt Center. [8]In the study 2181 women over 20 in Muğla county, Bayır, Yerkesik and Yeşilyurthealt center areas were given 45 survey questions which was composed of 16 guestions ondescription, 15 guestions on their information level and 14 questions Self Breast Check (SBCand datas collected and assessed. [9]Of the women, ages education level,social security, income, marital statüs, number ofchilderen, main source of informatio, reasons of not applying SBC, SBC aplication ,relativeswith breast cancer, compered a meaningful difference (p<0.05 in the comparison ofinformation points, have been found out. [10]Status when the women’s SBC compared with age groups, education,job,socialsecurity income level, marital statüs, and main source of information; a meaningful differencehas been found out (p<0.05. [11]It has been determined that 45.1 % of the women who participated in the survey didSBC,19.4 % had clinic examination and 10.5 % had mamography.

  13. Brookside Mills, Knox County, TN

    Science.gov (United States)

    Brookside Mills, located in Knox County, TN, was a textile mill that was founded in 1885 and at its peak employed over 1,000 people. Its former uses included fabric weaving, dying, and sewing operations. It was at some point a department store, and during a portion of its history, coal was used as an energy source. Weaving operations continued in some form at the Brookside factory until 1969. In 1996 the buildings were demolished.

  14. Instantaneous network RTK in Orange County, California

    Science.gov (United States)

    Bock, Y.

    2003-04-01

    The Orange County Real Time GPS Network (OCRTN) is an upgrade of a sub-network of SCIGN sites in southern California to low latency (1-2 sec), high-rate (1 Hz) data streaming, analysis, and dissemination. The project is a collaborative effort of the California Spatial Reference Center (CSRC) and the Orange County Public Resource and Facilities Division, with partners from the geophysical community, local and state government, and the private sector. Currently, ten sites are streaming 1 Hz raw data (Ashtech binary MBEN format) by means of dedicated, point-to-point radio modems to a network hub that translates the asynchronous serial data to TCP/IP and onto a PC workstation residing on a local area network. Software residing on the PC allows multiple clients to access the raw data simultaneously though TCP/IP. One of the clients is a Geodetics RTD server that receives and archives (1) the raw 1 Hz network data, (2) estimates of instantaneous positions and zenith tropospheric delays for quality control and detection of ground motion, and (3) RINEX data to decimated to 30 seconds. Data recovery is typically 99-100%. The server also produces 1 Hz RTCM data (messages 18, 19, 3 and 22) that are available by means of TCP/IP to RTK clients with wireless Internet modems. Coverage is excellent throughout the county. The server supports standard RTK users and is compatible with existing GPS instrumentation. Typical latency is 1-2 s, with initialization times of several seconds to minutes OCRTN site spacing is 10-15 km. In addition, the server supports “smart clients” who can retrieve data from the closest n sites (typically 3) and obtain an instantaneous network RTK position with 1-2 s latency. This mode currently requires a PDA running the RTD client software, and a wireless card. Since there is no initialization and re-initialization required this approach is well suited to support high-precision (centimeter-level) dynamic applications such as intelligent transportation

  15. ASSESSMENT OF THE ORGANIZATIONAL CULTURE OF THE COUNTY EMERGENCY HOSPITAL

    Directory of Open Access Journals (Sweden)

    Gavrilescu Liviu

    2010-07-01

    Full Text Available The study proposes assessing the organizational culture of the County Emergency Hospital “Dr. Constantine Opris” of Baia Mare, as a basis for developing a strategic plan to facilitate the successful implementation of organizational goals and objectives. As research instruments were used: OCAI (Organizational Culture Assessment Instrument and the semi-structured interview. The identified organizational culture of the County Emergency Hospital “Dr. Constantin Opris” has characteristics of a weak culture with strong hierarchical accents. Regarding the preferred situation, is obvious the predilection for type clan culture values, based on participation, group cohesion and individual development. The results obtained from the application of the OCAI questionnaire reveals a mismatch between current organizational culture and preferred organizational culture, which requires adapting to contemporary society.

  16. VT River Restoration Data in Lamoille County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) Documented river and riparian buffer restoration projects in Lamoille County, Vermont. Restoration includes buffer plantings (trees and shrubs),...

  17. 75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

    Science.gov (United States)

    2010-05-07

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI... Beloit, Rock County, Wisconsin to the interchange of Rockton Road and I-90 southeast of South...

  18. 75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

    Science.gov (United States)

    2010-05-12

    ... Natural Resources Conservation Service Clarke County Water Supply Project, Clarke County, IA AGENCY... Moines, IA 50309-2180, telephone: 515-284- 4769. SUPPLEMENTARY INFORMATION: A Notice of Intent (NOI) to... http://www.ia.nrcs.usda.gov . A map of the Clarke County Water Supply proposed study sites will also...

  19. 33 CFR 100.905 - Door County Triathlon; Door County, WI.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Door County Triathlon; Door County, WI. 100.905 Section 100.905 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND SECURITY REGATTAS AND MARINE PARADES SAFETY OF LIFE ON NAVIGABLE WATERS § 100.905 Door County...

  20. 棉农化肥施用技术效率及影响因子分析--基于莎车县农户调查数据的实证研究%Analysis of chemical fertilizer application efficiency by cotton farmers and its influence factors:an empirical study based on peasant household survey in Shache County

    Institute of Scientific and Technical Information of China (English)

    颜璐; 马惠兰

    2014-01-01

    基于莎车县203户棉农的实地调查数据,运用随机前沿分析法估算棉农的化肥技术效率,并进一步运用双对数模型分析各因子对棉农化肥施用技术效率的影响程度.结果显示:莎车县棉花作物化肥施用技术效率较低,仅0.4598,有一半以上的量无法作用于农业生产.文化程度对技术效率影响最大;之后由高到低依次为化肥利用率的认识程度、农技培训、土壤质量变化、纯农人数占比和有机肥的施用;而种植规模、化肥价格变化和务农时间对化肥施用技术效率影响较低.最后,提出了提高棉农受教育水平、加大农技推广力度、控制化肥价格、推进农户适度规模化经营等相关的对策建议.%Summary Chemical fertilizer application efficiency is an important influence factor in agricultural production. Low chemical fertilizer application efficiency not only lead to cotton production cost increase and constrain cotton per unit area yield,but also may cause agricultural non-point source pollution,because excessive use of chemical fertilizers damage inevitably the environment and resources which are vital for agricultural development. Therefore,our aim is first to systematically evaluate chemical fertilizer application efficiency by cotton farmers. And second,with the purpose to figure out the essential ways to raise production efficiency of agricultural internal system,we assess the active results of different kinds of influence factors of technical efficiency.Furthermore,we hope the results can help to increase agricultural economic benefits of farmers and agricultural scientific and technical level,and ultimately prompt the sustainable development of agriculture. By using the field survey data which were obtained from 203 peasant households in Shache County,a first agricultural county in Xinjiang with favorable cotton plant conditions,an evaluation model with stochastic frontier approach (SFA

  1. 75 FR 54419 - Environmental Impact Statement: Yellowstone County, MT

    Science.gov (United States)

    2010-09-07

    ... Federal Highway Administration Environmental Impact Statement: Yellowstone County, MT AGENCY: Federal... highway project in Yellowstone County, Montana. FOR FURTHER INFORMATION CONTACT: Brian Hasselbach, Right... (I-90) and Old Highway 312 in or near the city of Billings, Yellowstone County, Montana....

  2. 75 FR 34485 - Notice of Affirmative Decisions on Petitions for Modification Granted in Whole or in Part

    Science.gov (United States)

    2010-06-17

    ... County, Nevada; Colado Plant, MSHA I.D. No. 26-00680, located in Pershing County, Nevada; and Celatom Mill, MSHA I.D. No. 35-03236, located in Malheur County, Oregon. Regulation Affected: 30 CFR 56.20001.... 46-08759 and Coalburg No. 2 Mine, MSHA I.D. No. 46-09231, located in Kanawha County, West...

  3. Poor people on the move: county-to-county migration and the spatial concentration of poverty.

    Science.gov (United States)

    Nord, M

    1998-05-01

    "Poverty rates in high-poverty and low-poverty rural [U.S.] counties, and, thus, the spatial concentration of poverty, are affected by poverty-specific differences in in-migration and out-migration patterns. These patterns are investigated using 1985-90 county-to-county migration data from the decennial census. Effects on poverty rates of four migration flows (in- and out-migration of poor, in- and out-migration of nonpoor) are quantified, and their impacts on spatial concentration of poverty are assessed. The effect of selected county characteristics on the migration of the poor and nonpoor in nonmetro counties [is] estimated."

  4. Educational and Demographic Profile: Madera County

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

    This profile uniquely presents a variety of educational and socioeconomic information for Madera County, nearby counties, and the state. The profile highlights the relationship between various factors that affect the economic well-being of individuals and communities. This presentation of information provides a framework for enhanced…

  5. Educational and Demographic Profile: Napa County.

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

    This profile uniquely presents a variety of educational and socioeconomic information for Napa County, nearby counties, and the state. The profile highlights the relationship between various factors that affect the economic well-being of individuals and communities. This presentation of information provides a framework for enhanced communication…

  6. Imperial County geothermal development annual meeting: summary

    Energy Technology Data Exchange (ETDEWEB)

    1983-01-01

    All phases of current geothermal development in Imperial County are discussed and future plans for development are reviewed. Topics covered include: Heber status update, Heber binary project, direct geothermal use for high-fructose corn sweetener production, update on county planning activities, Brawley and Salton Sea facility status, status of Imperial County projects, status of South Brawley Prospect 1983, Niland geothermal energy program, recent and pending changes in federal procedures/organizations, plant indicators of geothermal fluid on East Mesa, state lands activities in Imperial County, environmental interests in Imperial County, offshore exploration, strategic metals in geothermal fluids rebuilding of East Mesa Power Plant, direct use geothermal potential for Calipatria industrial Park, the Audubon Society case, status report of the Cerro Prieto geothermal field, East Brawley Prospect, and precision gravity survey at Heber and Cerro Prieto geothermal fields. (MHR)

  7. Environmental assessment: Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    In February 1983, the US Department of Energy (DOE) identified a location in Deaf Smith County, Texas, as one of nine potentially acceptable sites for a mined geologic repository for spent nuclear fuel and high-level radioactive waste. To determine their suitability, the Deaf Smith County site and the eight other potentially sites have been evaluated in accordance with the DOE's General Guidelines for the Recommendation of Sites for the Nuclear Waste Repositories. The Deaf Smith County site is in the Permian Basin, which is one of five distinct geohydrologic settings considered for the first repository. On the basis of the evaluations reported in this EA, the DOE has found that the Deaf Smith County site is not disqualified under the guidelines. On the basis of these findings, the DOE is nominating the Deaf Smith County site as one of the five sites suitable for characterization. 591 refs., 147 figs., 173 tabs.

  8. Application of unmanned aerial vehicle remote sensing in greenbelt research of Yanchi County%无人机遥感在宁夏盐池县城区绿地调查中的应用

    Institute of Scientific and Technical Information of China (English)

    闫军; 张允

    2011-01-01

    Unmanned aerial vehicle remote sensing is one of the important tools in remote sensing data acquisition.It has many advantages,such as high resolution,good data acquisition flexibility,and so on.We utilized unmanned aerial vehicle for taking photos of the town of Yanchi County.High resolution photos were acquired.The greenbelt distribution of Yanchi town was interpreted with eyes.The data was analyzed and better efforts were realized.%无人机遥感具有成像分辨率高、数据获取灵活等优点,是遥感数据获取的重要工具之一.通过对宁夏盐池县城区进行无人机航拍,获得高分辨率影像数据,并对盐池县城区的绿地分布进行遥感目视解译,对数据进行统计分析.调查结果可以为盐池县创建国家园林县城工作提供重要的参考依据.

  9. Summary on the Application of New Cassava Variety -South China 8 in Qiongzhong County%木薯新品种华南8号在琼中县的应用推广

    Institute of Scientific and Technical Information of China (English)

    李学; 黄洁; 林世欣; 叶剑秋; 周建国

    2012-01-01

    Through the regional experiments in 2007-2008 and demonstration trials in 2008-2011 in Qiongzhong County, Hainan Province, China, the results showed that according to the fresh root yield, starch yield and starch content of fresh root, SC8 (South China 8) was increased than the newly released variety SC5 (South China 5, CK2), and SC5 was increased than the traditional variety SC205 (South China 205, CK0. Therefore, factories and farmers were warmly received SC8, up to now, SC8 occupied 15.4% harvested area in Qiongzhong Country in 2011%海南省琼中县2007-2008年的木薯新品种区域试验,以及2008-2011年的示范推广结果表明,华南8号的鲜薯产量、鲜薯淀粉含量和淀粉产量优于新近推广品种华南5号(CK2),而华南5号又优于传统老品种华南205(CK2),华南8号广受农民和企业的欢迎。目前,华南8号已占琼中县木薯收获总面积的15.4%。

  10. 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

  11. 75 FR 79334 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-12-20

    ...; ] DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting... expenditure of Payments to States Madera County Title II funds. The Madera County Resource Advisory...

  12. 75 FR 14626 - Notice of Realty Action: Recreation and Public Purposes Act Classification, Clark County, NV

    Science.gov (United States)

    2010-03-26

    ... proposed classification, lease or conveyance will be reviewed by the BLM Nevada State Director, who may...] Notice of Realty Action: Recreation and Public Purposes Act Classification, Clark County, NV AGENCY... filed a Recreation and Public Purposes (R&PP) Act application for lease or conveyance of approximately...

  13. 75 FR 35085 - Notice of Realty Action: Recreation and Public Purposes Act Classification, Elko County, NV

    Science.gov (United States)

    2010-06-21

    ... classification and lease and/or conveyance under the provisions of the R&PP Act, as amended, (43 U.S.C. 869 et...: 14X5232] Notice of Realty Action: Recreation and Public Purposes Act Classification, Elko County, NV... Public Purposes (R&PP) Act application for lease and/or conveyance of approximately 807.5 acres of...

  14. 75 FR 14625 - Notice of Realty Action: Recreation and Public Purposes Act Classification, Clark County, NV

    Science.gov (United States)

    2010-03-26

    ... to do so. Any adverse comments on the proposed classification, lease or conveyance will be reviewed...] Notice of Realty Action: Recreation and Public Purposes Act Classification, Clark County, NV AGENCY... filed a Recreation and Public Purposes (R&PP) Act application for lease or conveyance of approximately...

  15. Costilla County Biodiesel Pilot Project

    Energy Technology Data Exchange (ETDEWEB)

    Doon, Ben; Quintana, Dan

    2011-08-25

    The Costilla County Biodiesel Pilot Project has demonstrated the compatibility of biodiesel technology and economics on a local scale. The project has been committed to making homegrown biodiesel a viable form of community economic development. The project has benefited by reducing risks by building the facility gradually and avoiding large initial outlays of money for facilities and technologies. A primary advantage of this type of community-scale biodiesel production is that it allows for a relatively independent, local solution to fuel production. Successfully using locally sourced feedstocks and putting the fuel into local use emphasizes the feasibility of different business models under the biodiesel tent and that there is more than just a one size fits all template for successful biodiesel production.

  16. Hennepin County`s experience with heavy-duty ethanol vehicles

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

    From November 1993 to October 1996, Hennepin County, which includes Minneapolis, field-tested two heavy-duty snowplow/road maintenance trucks fueled by ethanol. The overall objective of this program was to collect data from original equipment manufacturer alternative fuel heavy-duty trucks, along with comparable data from a similarly configured diesel-powered vehicle, to establish economic, emissions, performance, and durability data for the alternative fuel technology. These ethanol trucks, along with an identical third truck equipped with a diesel engine, were operated year round to maintain the Hennepin county roads. In winter, the trucks were run in 8-hour shifts plowing and hauling snow from urban and suburban roads. For the rest of the year, the three trucks were used to repair and maintain these same roads. As a result of this project, a considerable amount of data was collected on E95 fuel use, as well as maintenance, repair, emissions, and operational characteristics. Maintenance and repair costs of the E95 trucks were considerably higher primarily due to fuel filter and fuel pump issues. From an emissions standpoint, the E95 trucks emitted less particulate matter and fewer oxides of nitrogen but more carbon monoxide and hydrocarbons. Overall, the E95 trucks operated as well as the diesel, as long as the fuel filters were changed frequently. This project was a success in that E95, a domestically produced fuel from a renewable energy source, was used in a heavy-duty truck application and performed the same rigorous tasks as the diesel counterparts. The drawbacks to E95 as a heavy-duty fuel take the form of higher operational costs, higher fuel costs, shorter range, and the lack of over-the-road infrastructure.

  17. Road and Street Centerlines, All data was acquired by GPS observation & manually corrected, where needed, by observing the linework on aerial photography, Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — , published at Not Applicable scale, was produced all or in part from Field Observation information as of 2012. It is described as 'All data was acquired by GPS...

  18. Public Access Points, Our current file was compiled from our parcel mapping & locating on records & maps, areas of public access. Areas have been reviewed by the DNR, Published in 2011, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Public Access Points dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 2011. It is described as...

  19. County and Parish Boundaries, County Boundary, Published in 2013, 1:12000 (1in=1000ft) scale, Portage County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:12000 (1in=1000ft) scale, was produced all or in part from Published Reports/Deeds information as of 2013....

  20. County and Parish Boundaries, counties, Published in 2008, 1:24000 (1in=2000ft) scale, Box Elder County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as...

  1. County and Parish Boundaries, county boundary, Published in 2008, 1:24000 (1in=2000ft) scale, Box Elder County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2008. It is described as...

  2. County and Parish Boundaries, County Boundary Layer, Published in unknown, 1:2400 (1in=200ft) scale, Walworth County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Published Reports/Deeds information as of unknown....

  3. County and Parish Boundaries, county mask, Published in 2009, 1:24000 (1in=2000ft) scale, Washington County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Other information as of 2009. It is described as...

  4. County and Parish Boundaries, Published in 2009, 1:4800 (1in=400ft) scale, Chautauqua County/Elk County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Hardcopy Maps information as of 2009. Data by...

  5. Improved Oil Recovery from Upper Jurassic Smackover Carbonates through the Application of Advanced Technologies at Womack Hill Oil Field, Choctaw and Clarke Counties, Alabama, Eastern Gulf Coastal Plan (Phase II)

    Energy Technology Data Exchange (ETDEWEB)

    Ernest A. Mancini; Joe Benson; David Hilton; David Cate; Lewis Brown

    2006-05-29

    The principal research efforts for Phase II of the project were drilling an infill well strategically located in Section 13, T. 10 N., R. 2 W., of the Womack Hill Field, Choctaw and Clarke Counties, Alabama, and obtaining fresh core from the upper Smackover reservoir to test the feasibility of implementing an immobilized enzyme technology project in this field. The Turner Land and Timber Company 13-10 No. 1 well was successfully drilled and tested at a daily rate of 132 barrels of oil in Section 13. The well has produced 27,720 barrels of oil, and is currently producing at a rate of 60 barrels of oil per day. The 13-10 well confirmed the presence of 175,000 barrels of attic (undrained) oil in Section 13. As predicted from reservoir characterization, modeling and simulation, the top of the Smackover reservoir in the 13-10 well is structurally high to the tops of the Smackover in offsetting wells, and the 13-10 well has significantly more net pay than the offsetting wells. The drilling and testing of the 13-10 well showed that the eastern part of the field continues to have a strong water drive and that there is no need to implement a pressure maintenance program in this part of the Womack Hill Field at this time. The success achieved in drilling and testing the 13-10 infill well demonstrates the benefits of building a geologic model to target areas in mature fields that have the potential to contain undrained oil, thus increasing the productivity and profitability of these fields. Microbial cultures that grew at 90 C and converted ethanol to acid were recovered from fresh cuttings from the Smackover carbonate reservoir in an analogous field to the Womack Hill Field in southwest Alabama; however, no viable microorganisms were found in the Smackover cores recovered from the drilling of the 13-10 well in Womack Hill Field. Further evaluation is, therefore, required prior to implementing an immobilized enzyme technology project in the Womack Hill Field.

  6. Exploration on Cuttage Forestation Technology to Poplar and Its Application in Zhaojue County%杨树插干造林技术及其在昭觉县应用探讨

    Institute of Scientific and Technical Information of China (English)

    阿牛阿且

    2013-01-01

    杨树插干造林技术与杨树“三大一深”植苗造林技术相比,有不需挖树穴、造林成本低、节水抗旱、成活率高等优点。昭觉县的自然条件非常适合杨树生长,近年来,杨树造林面积已占到昭觉县造林面积的一半以上,对昭觉县林业发展起到了十分重要的作用。采用适宜的杨树插干造林技术,可以克服制约昭觉县杨树造林的不利因素,如果在昭觉县大面推广应用,将对昭觉县建设绿色生态县,深入推进“三棵树”林业产业化工程产生巨大的推动作用。%The cuttage forestation,compared with stock planting forestation with“three big and a deep”,has several advantages. For example,you needn’t to dig plant pits;the forestation cost is not high;it can save water and resist draught;and there is a high rate of survival,and so on. The natural condition of Zhaojue adapts to the growth of poplar extremely. In recent years,the poplar forestation covered a half more in the forestation area of Zhaojue,which played an extremely important role in the forestry development of Zhaojue. We can overcome the unfavorable factors by adopting the appropriate cuttage forestation technology to poplar. We can also promote the ecosystem county construction,and the formation of forestry industrialization with“three trees”in Zhaojue,if we use the technology in a larger area.

  7. 高精度磁测在尼勒克县穹库尔铁矿中的应用分析%An analysis of the application of high precision magnetic survey to the Qiongkuer iron deposit in Nilka County

    Institute of Scientific and Technical Information of China (English)

    屈栓柱; 胡华伟; 潘德仁

    2016-01-01

    为扩大新疆尼勒克县松湖铁矿后备储量资源,对尼勒克县松湖铁矿东南1∶5万化探异常进行了地面磁测工作,通过对磁测数据进行化极、延拓等处理,进一步了解了圈定的3处高磁异常体的空间分布及产状特征,利用二度半人机交互反演,拟合出矿体的埋深和形态,通过钻探验证发现了穹库尔铁矿。后期依据磁测反演成果在主矿段西侧植被覆盖区内发现了一定规模的隐伏矿体,为矿床勘探及资源量扩大提供了重要的地球物理依据。%In order to expand reserve resources of the Qiongkuer iron deposit in Nilka County,Xinjiang, the authors conducted surface magnetic survey for 1∶50 000 geochemical Hs⁃19 anomaly.Through such means as reduction to the pole and continuation,the spatial dis⁃tribution of attitude characteristics of three delineated high⁃magnetic anomalous bodies was detected;through two and a half dimensional interactive inversion,the buried depth and shape of the orebody were fitted;through drilling verification,the Qiongkuer iron deposit was discovered.At the late stage,a concealed orebody of certain size was found in the vegetation cover area on the western side of the main ore block according to the result of magnetic inversion,thus providing geophysical basis for the exploration of the deposit and the expan⁃sion of resource quantity.

  8. 2015 Cook & Tift County (GA) Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: NOAA OCM Tift and Cook Counties GA Lidar Data Acquisition and Processing Production Task NOAA Contract No. EA133C-11-CQ-0010 Woolpert Order No. 75271...

  9. Floodplain Mapping Submission for Oregon County, MO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Floodplain Mapping study deliverables depict and quantify the flood risks for Oregon County, MO. The City of Thayer and the Missouri State Emergency Management...

  10. Conservation Reserve Program Acreage by County

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset contains information regarding the acreages of land currently (as of 2004) enrolled in the Conservation Reserve Program (CRP) distributed by county and...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. 2008 South Carolina Lidar: Fairfield County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  16. Environmental assessment: Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    In February 1983, the US Department of Energy (DOE) identified a location in Deaf Smith County, Texas, as one of the nine potentially acceptable sites for mined geologic repository for spent nuclear fuel and high-level radioactive waste. To determine their suitability, the Deaf Smith County site and eight other potentially acceptable sites have been evaluated in accordance with the DOE's General Guidelines for the Recommendation of Sites for the Nuclear Waste Repositories. The Deaf Smith County site is in the Permian Basin, which is one of five distinct geohydrologic settings considered for the first repository. On the basis of the evaluations reported in this EA, the DOE has found that the Deaf Smith County site is not disqualified under the guidelines.

  17. 2008 South Carolina Lidar: Williamsburg County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  18. 2008 South Carolina Lidar: Marlboro County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  19. 2008 South Carolina Lidar: Darlington County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  20. 2008 South Carolina Lidar: Newberry County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  1. 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...

  2. 2008 St. Johns County, FL Countywide Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Airborne terrestrial LiDAR was collected for St. Johns County, FL. System Parameters/Flight Plan. The LiDAR system acquisition parameters were developed based on a...

  3. 2000 Cayuga County New York Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These data were collected in April of 2000 for the Cayuga County New York Department of Planning and Economic Development. Elevation points were sampled at densities...

  4. 2010 FEMA Lidar: Ozaukee County (WI)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Ozaukee AOI consists of one area encompassing the entire county. Ground Control is collected throughout the AOI for use in the processing of LiDAR data to ensure...

  5. 2008 South Carolina Lidar: Clarendon County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  6. Bioassessment of Black Creek, Holmes County, Mississippi

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Physical, chemical and biological components at four stations on Black Creek and one station on Harland Creek (reference site), Holmes County, Mississippi were...

  7. 2012 South Carolina DNR Lidar: Aiken County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  8. 2012 South Carolina DNR Lidar: Edgefield County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  9. 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...

  10. 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...

  11. FY2015 VHA Enrollees by County

    Data.gov (United States)

    Department of Veterans Affairs — The VA's Veteran Health Administration, in support of the Open Data Initiative, is providing the number of Veteran enrollees by state/county for fiscal year 2015....

  12. National Weather Service County Warning Area Boundaries

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains polygons corresponding to the County Warning Areas (CWAs) of each Weather Forecast Office (WFO) in the National Weather Service (NWS).

  13. Bouquets Best the Brickbats at Tarrant County.

    Science.gov (United States)

    Lace, William W.

    1984-01-01

    Reports on Tarrant County Junior College's media campaign using testimonials by former students to attract new students, inform the community about educational opportunities, and answer questions about the college. (DMM)

  14. Submerged Aquatic Vegetation (SAV) - Volusia County Seagrass

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Aquatic vegetation in Volusia County. DEP SEA_GRASSES This polygon GIS data set represents a compilation of statewide seagrass data from various source agencies and...

  15. 2005 Delaware Coastal Program Lidar: Sussex County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data were acquired in March 2005 using the NASA Experimental Advanced Airborne Research Lidar (EAARL) platform in Sussex County, Delaware. Once acquired, the...

  16. 2005 Hancock and Jackson Counties, MS Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the topographic mapping of Hancock and Jackson Counties, Mississippi during 2005. Using a combination of laser rangefinding, GPS...

  17. 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...

  18. 2014 Horry County, South Carolina Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This data set is comprised of lidar point cloud data. This project required lidar data to be acquired over Horry County, South Carolina. The total area of the Horry...

  19. Bioassessment of Hollis Creek, Oktibbeha County, Mississippi

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — Physical, chemical and biological components at five stations on Hollis Creek, Oktibbeha County, Mississippi were evaluated using Rapid Bioassessment Protocols (RBP)...

  20. 2004 SWFWMD Citrus County Lidar Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the ortho & LIDAR mapping of Citrus County, FL. The mapping consists of LIDAR data collection, contour generation, and production...

  1. 2011 South Carolina DNR Lidar: York County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,500 square miles in York, Pickens, Anderson, and Oconee Counties in South Carolina. This metadata covers the LiDAR produced...

  2. DCS Hydrology Submission for Lincoln County, Oregon

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The hydrology dataset for Lincoln County, Oregon includes proposed 10-, 50-, 100-, and 500-year discharges for Salmon River, Schooner Creek, Drift Creek, Siletz...

  3. Hotels and Motels - Volusia County Lodging (Points)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Abstract: This file shows the physical location of known Hotel, Motel, and Bed and Breakfast establishments in Volusia County. This file will be checked at least...

  4. Port Authority of Allegheny County Transit Routes

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Shapefile of Transit Routes - Please refer to each resource for active dates of the route information. Routes change over time,

  5. Survey for bats in Jackson County, Colorado

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report covers a targeted bat survey of Jackson County in north-central Colorado to better understand the abundance and distribution of bats in Colorado. The...

  6. CDC BioSense: Tarrant County, Texas

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Tarrant County Public Health (TCPH) and Biosense collaboration is an effort to visualize TCPH health data collected by Biosense using Google Fusion Table...

  7. Basemap Framework Submission for Floyd County IA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital 4 band ortho imagery covering 41 counties in southwest Iowa was flown Spring 2010. Imagery was collected with Lecia ADS80-SH82 and ADS40-SH51 digital cameras...

  8. 2012 South Carolina DNR Lidar: Calhoun County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  9. 2012 South Carolina DNR Lidar: Abbeville County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Towill Inc. collected LiDAR for over 3,300 square miles in Calhoun, Aiken, Barnwell, Edgefield, McCormick, and Abbeville counties in South Carolina. This metadata...

  10. Elevation Data for Jefferson County, WI

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Land Elevation TINs (Triangulated Irregular Networks) in this directory are generated from 2 foot contour lines from Jefferson County. Little is known about the...

  11. Basemap Framework Submission for Story County IA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Digital 4 band ortho imagery covering 41 counties in southwest Iowa was flown Spring 2009. Imagery was collected with Lecia ADS80-SH82 and ADS40-SH51 digital cameras...

  12. VT New Market Tax Credit - Qualifying Counties

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) The EconOther_NMTC layer delineates New Market Tax Credit (NMTC) "hot zones" and qualified counties and census tracts. This dataset is designed to...

  13. 2008 South Carolina Lidar: Cherokee County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  14. 2008 South Carolina Lidar: Orangeburg County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  15. 2008 South Carolina Lidar: Chester County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  16. 2008 South Carolina Lidar: Greenwood County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  17. 2008 South Carolina Lidar: Lancaster County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  18. 2008 South Carolina Lidar: Chesterfield County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  19. 2008 South Carolina Lidar: Marion County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  20. ORTHOIMAGERY, BOONE COUNTY,WV, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — NAIP is a program to acquire peak growing season ?leaf on? imagery, and deliver this imagery to USDA County Service Centers, in order to maintain the common land...

  1. 2008 South Carolina Lidar: Laurens County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  2. 2008 South Carolina Lidar: Union County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  3. 2008 South Carolina Lidar: Dillon County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The project area is composed of 16 counties in the State of South Carolina - Cherokee, Union, Laurens, Greenwood, Newberry, Chester, Fairfield, Lancaster,...

  4. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The LIDAR survey presents digital elevation data sets of a bald earth surface model and 2ft interval contours covering Bayfield County, Wisconsin. The LIDAR data was...

  5. De Baca 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 city streets in DeBaca...

  6. 2004 St. Johns County, Florida Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the bare earth lidar data for St. Johns County, Florida, acquired in early January and February of 2004. This data was collected to develop...

  7. Allegheny County Housing and Community Environment Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Residential housing inspections and inspections in response to complaints for community environment problems, such as open vacant structures, vacant lots with...

  8. Environmental assessment, Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    The Nuclear Waste Policy Act of 1982 (42 USC sections 10101-10226) requires the environmental assessment of a proposed site to include a statement of the basis for nominating a site as suitable for characterization. Volume 2 provides a detailed statement evaluating the site suitability of the Deaf Smith County Site under DOE siting guidelines, as well as a comparison of the Deaf Smith County Site to the other sites under consideration. The evaluation of the Deaf Smith County Site is based on the impacts associated with the reference repository design, but the evaluation will not change if based on the Mission Plan repository concept. The second part of this document compares the Deaf Smith County Site to Davis Canyon, Hanford, Richton Dome and Yucca Mountain. This comparison is required under DOE guidelines and is not intended to directly support subsequent recommendation of three sites for characterization as candidate sites. 259 refs., 29 figs., 66 refs. (MHB)

  9. Allegheny County Municipal Land Use Ordinances

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Many municipalities have their own land use ordinances and establish standards and requirements for land use and development in that municipality. This dataset is...

  10. Allegheny County Kane Regional Center Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Total number of residents in each Kane Regional Center facility by race and gender. The Kane Regional Centers are skilled nursing and rehabilitation centers run by...

  11. Reconnaissance of geothermal resources of Los Angeles County, California

    Energy Technology Data Exchange (ETDEWEB)

    Higgins, C.T.

    1981-01-01

    Thermal waters produced from large oil fields are currently the most important geothermal resources in Los Angeles County. Otherwise, the County does not appear to have any large, near-surface geothermal resources. The oil fields produce thermal water because of both the moderate depths of production and normal to above-normal geothermal gradients. Gradients are about 3.0-3.5/sup 0/C/100 meters in the Ventura Basin and range from that up to about 5.5-6.0/sup 0/C/100 meters in the Los Angeles Basin. The hottest fields in the County are west of the Newport-Inglewood Structural Zone. The Los Angeles Basin has substantially more potential for uses of heat from oil fields than does the Ventura Basin because of its large fields and dense urban development. Produced fluid temperatures there range from ambient air to boiling, but most are in the 100-150/sup 0/F range. Daily water production ranges from only a few barrels at some fields to over a million barrels at Wilmington Oil Field; nearly all fields produce less than 50,000 barrels/day. Water salinity generally ranges from about 15,000-35,000 mg/liter NaCl. Fields with the most promise as sources of heat for outside applications are Wilmington, Torrance, Venice Beach, and Lawndale. The centralized treatment facilities are the most favorable sites for extraction of heat within the oil fields. Because of the poor water quality heat exchangers will likely be required rather than direct circulation of the field water to users. The best sites for applications are commercial-industrial areas and possibly institutional structures occupied by large numbers of people.

  12. Hydrogeology of Cibola County, New Mexico

    Science.gov (United States)

    Baldwin, J.A.; Rankin, D.R.

    1995-01-01

    The hydrogeology of Cibola County, New Mexico, was evaluated to determine the occurrence, availability, and quality of ground-water resources. Rocks of Precambrian through Quaternary age are present in Cibola County. Most rocks are sedimentary in origin except for Precambrian igneous and metamorphic rocks exposed in the Zuni Uplift and Tertiary and Quaternary basalts in northern and central parts of the county. The most productive aquifers in the county include (youngest to oldest) Quaternary deposits, sandstones in the Mesaverde Group, the Dakota-Zuni-Bluff aquifer, the Westwater Canyon aquifer, the Todilto- Entrada aquifer, sandstone beds in the Chinle Formation, and the San Andres-Glorieta aquifer. Unconsolidated sand, silt, and gravel form a mantle ranging from a few inches to 150 to 200 feet over much of the bedrock in Cibola County. Well yields range from 5 to 1,110 gallons per minute. Dissolved-solids concentrations of ground water range from 200 to more than 5,200 milligrams per liter. Calcium, magnesium, bicarbonate, and sulfate are the predominant ions in ground water in alluvial material. The Mesaverde Group mainly occurs in three areas of the county. Well yields range from less than 1 to 12 gallons per minute. The predominant ions in water from wells in the Mesaverde Group are calcium, sodium, and bicarbonate. The transition from calcium-predominant to sodium-predominant water in the southwestern part of the county likely is a result of ion exchange. Wells completed in the Dakota-Zuni-Bluff aquifer yield from 1 to 30 gallons per minute. Dissolved-solids concentrations range from 220 to 2,000 milligrams per liter in water from 34 wells in the western part of the county. Predominant ions in the ground water include calcium, sodium, sulfate, and bicarbonate. Calcium predominates in areas where the aquifer is exposed at the surface or is overlain with alluvium. Sandstones in the Chinle Formation yield from 10 to 300 gallons per minute to wells in the Grants

  13. County and Parish Boundaries - COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN: Governmental Boundaries Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Polygon feature class)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN is a polygon feature class that contains governmental boundaries maintained by county agencies in Indiana, provided by personnel...

  14. County and Parish Boundaries, Norton County Boundary given to us by R&S Digital, Published in Not Provided, Norton County Appraisal Office.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Not Provided information as of Not Provided. It is described as 'Norton County Boundary...

  15. 7 CFR 947.134 - Establishment of list of manufacturers of potato products.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 8 2010-01-01 2010-01-01 false Establishment of list of manufacturers of potato... AGRICULTURE IRISH POTATOES GROWN IN MODOC AND SISKIYOU COUNTIES, CALIF., AND IN ALL COUNTIES IN OREGON, EXCEPT MALHEUR COUNTY Rules and Regulations Safeguards § 947.134 Establishment of list of manufacturers of...

  16. Development Path of Different County-Level Towns

    Institute of Scientific and Technical Information of China (English)

    Haijiao; ZHANG; Zhenghe; ZHANG

    2015-01-01

    County-level town is important space carrier of China’s urbanization and the emphasis and key of strategic distribution for urbanization. Backwardness of county-level towns limits nearby transfer of surplus labor. To promote development of county-level towns,on the basis of classifying county-level towns,this paper analyzed motive and resistance factors of evolution of different county-level towns using historical data collection and statistical method,comparative approach,typical case study method,and studied development path for different county-level towns. From analysis,it reached the conclusion that industry exerts the most direct and fundamental influence on development of county-level towns,while the industrial development in county-level towns must base on their actual conditions. The county-level towns are not isolated,and their development should be established within the framework of national policy environment and superior and subordinate town system.

  17. 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

  18. The Bridge of Mandolin County

    Science.gov (United States)

    Lantz, Juliette M.; Feindt, Jenny E.; Lewellyn, Eric P. B.; Walczak, Mary M.

    1999-12-01

    The Bridge of Mandolin County is a case designed to teach the general chemistry principles of molar mass, ions and aqueous reactions, solubility rules, and inorganic nomenclature. Through the instructor-facilitated class discussion, students consider the options before the Mandolin Town Council regarding deicing the newly constructed bridge connecting Mandolin with a large nearby city. The students must decipher contradictory claims made on behalf of sodium chloride, the traditional deicer, and calcium magnesium acetate, a new environmentally friendly deicer, to arrive at the most cost-effective and environmentally appropriate deicing product. As they work through the analysis they raise questions that can be addressed in a laboratory setting. Four optional role-playing experiments are included, which can be used by the students to gather information helpful to resolution of the case. The case is intended to be used over two class periods, with a laboratory period in between, though suggestions for other models are provided. Laboratory procedures include an EDTA titration for Ca2+ and Mg2+, a gravimetric analysis, a qualitative examination of ions and solubility, an introduction to freezing point depression and measurement, and an experimental design activity. This case can also successfully be used without alteration in non-majors chemistry or environmental chemistry courses, or upper-level analytical or environmental chemistry courses.

  19. Geothermal development plan: Maricopa County

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.; Goldstone, L.A.

    1982-08-01

    The Maricopa County Geothermal Development Plan evaluated the market potential for utilizing geothermal energy. The study identified six potential geothermal resource areas with temperatures less than 100{sup 0}C (212{sup 0}F) and in addition, four suspected intermediate temperature areas (90{sup 0} to 150{sup 0}C, 194{sup 0} to 300{sup 0}F). Geothermal resources are found to occur in and near the Phoenix metropolitan area where average population growth rates of two to three percent per year are expected over the next 40 years. Rapid growth in the manufacturing, trade and service sectors of the regional economy provides opportunities for the direct utilization of geothermal energy. A regional energy use analysis is included containing energy use and price projections. Water supplies are found to be adequate to support this growth, though agricultural water use is expected to diminish. The study also contains a detailed section matching geothermal resources to potential users. Two comparative analyses providing economic details for space heating projects are incorporated.

  20. 77 FR 61022 - Notice of Realty Action: Notice of Receipt of Conveyance of Mineral Interest Application, Santa...

    Science.gov (United States)

    2012-10-05

    ... Application, Santa Clara County, CA AGENCY: Bureau of Land Management, Interior. ACTION: Notice of Realty... of land in Santa Clara County, California. Publication of this notice temporarily segregates the... consists of a 1,148.68 acres situated in Santa Clara County, California, and is described as...

  1. Nitrate-N movement in groundwater from the land application of treated municipal wastewater and other sources in the Wakulla Springs springshed, Leon and Wakulla Counties, Florida, 1966-2018

    Science.gov (United States)

    Davis, J. Hal; Katz, Brian G.; Griffin, Dale W.

    2010-01-01

    The City of Tallahassee began a pilot study in 1966 at the Southwest Farm sprayfield to determine whether disposal of treated municipal wastewater using center pivot irrigation techniques to uptake nitrate-nitrogen (nitrate-N) is feasible. Based on the early success of this project, a new, larger Southeast Farm sprayfield was opened in November 1980. However, a recent 2002 study indicated that nitrate-N from these operations may be moving through the Upper Floridan aquifer to Wakulla Springs, thus causing nitrate-N concentrations to increase in the spring water. The increase in nitrate-N combined with the generally clear spring water and abundant sunshine may be encouraging invasive plant species growth. Determining the link between the nitrate-N application at the sprayfields and increased nitrate-N levels is complicated because there are other sources of nitrate-N in the Wakulla Springs springshed, including atmospheric deposition, onsite sewage disposal systems, disposal of biosolids by land spreading, creeks discharging into sinks, domestic fertilizer application, and livestock wastes.

  2. 76 FR 21399 - Endangered and Threatened Wildlife and Plants; Permit Applications

    Science.gov (United States)

    2011-04-15

    .... ] Permit Applications Permit Application Number: TE38769A. Applicant: Sarah A. Bradley, Salem, MO. The... (Lycaeidesmelissasamuelis) on the Maas Preserve, Kent County, Michigan. Proposed activities are for enhancement of...

  3. BASEMAP, LAKE COUNTY, FLORIDA, USA

    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,...

  4. BASEMAP, LICKING COUNTY, OHIO USA

    Data.gov (United States)

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

  5. BASEMAP, NEW CASTLE COUNTY, DE

    Data.gov (United States)

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

  6. BASEMAP, ERIE COUNTY, OHIO USA

    Data.gov (United States)

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

  7. BASEMAP, BULLOCK COUNTY, ALABAMA, USA

    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,...

  8. BASEMAP, KITSAP COUNTY, WASHINGTON, USA

    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,...

  9. BASEMAP, MURRAY COUNTY, GA, USA

    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,...

  10. BASEMAP, IOSCO COUNTY, MI, USA

    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,...

  11. FLOODPLAIN, MONROE COUNTY, MI, USA

    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,...

  12. BASEMAP, Charles County, Maryland, USA

    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,...

  13. BASEMAP, CHARLES CITY COUNTY, USA

    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,...

  14. BASEMAP, CALHOUN COUNTY, FL, USA

    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,...

  15. BASEMAP, LOUISA COUNTY, IOWA, USA

    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,...

  16. BASEMAP, OTTAWA COUNTY, MI, USA

    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,...

  17. BASEMAP, WARREN COUNTY, OHIO, USA

    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,...

  18. BASEMAP, BRYAN COUNTY, GA, USA

    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,...

  19. BASEMAP, BLECKLEY COUNTY, GA, USA

    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,...

  20. BASEMAP, KENTON COUNTY, KENTUCKY, USA

    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,...