WorldWideScience

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. Economic impacts of geothermal development in Malheur County, Oregon

    International Nuclear Information System (INIS)

    This study provides local economic impact estimates for a 100 megawatt (MW) geothermal power project in Oregon. The hypothetical project would be in Malheur County, shown in Figure 1. Bonneville Power Administration commissioned this study to quantify such impacts as part of regional confirmation work recommended by the Northwest Power Planning Council and its advisors. Malheur County was chosen as it has both identified resources and industry interest. Local economic impacts include direct, indirect, and induced changes in the local economy. Direct economic impacts result from the costs of plant development, construction, and operation. Indirect impacts result from household and local government purchases. Induced impacts result from continued responding as goods and services to support the households and local governments are purchased. Employment impacts of geothermal development follow a pattern similar to the economic impacts. Public service impacts include costs such as education, fire protection, roads, waste disposal, and water supply. The project assumption discussion notes experiences at other geothermal areas. The background section compares geothermal with conventional power plants. Power plant fuel distinguishes geothermal from other power sources. Other aspects of development are similar to small scale conventional thermal sources. The process of geothermal development is then explained. Development consists of well drilling, gathering system construction, power plant construction, plant operation and maintenance, and wellfield maintenance

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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....

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. Malheur National Wildlife Refuge Land Status [1973

    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,...

  14. The Ecology of Malheur Lake and Management Implications

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report provides general information about Malheur Lake. Malheur Lake is one of the largest inland marshes in the United States and has the added distinction of...

  15. The ecology of Malheur Lake : And management implications [Malheur National Wildlife Refuge

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This document is an analysis of the ecology of Malheur Lake and what that implies for management. Topics covered include geology, geography, ecological units, plant...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. Application of Ionizing Radiation in Nairobi County

    International Nuclear Information System (INIS)

    The Radiation Protection Board of Kenya is mandated to provide for the protection of the public and radiation workers from the dangers arising from the use of devices or material capable of producing ionizing radiation and for connected purposes. It also Implement the provisions of the Radiation Protection Act and regulations made there under, Carry out Audit Inspection in Nairobi County Radiation Facilities, grant licenses to compliant and keep a register of all Radiation Facilities. The use of radiation based technology in Kenya has experienced tremendous growth, for instance, in Nairobi County, Medical (64%), Industrial (20%) and Education (16%). There is a tremendous growth in the application of radiation with medical leading. Therefore radiation safety is a key factor

  5. Hydrology of Malheur Lake, Hydrology of Malheur Lake, Harney County, southeastern Oregon

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The various components of inflow and outflow to and from the lake and their relative magnitudes were identified. In 1972 water year the total inflow to the lake was...

  6. Malheur River Basin cooperative bull trout/redband trout research project, annual report FY 1999; ANNUAL

    International Nuclear Information System (INIS)

    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

  7. Green County Nuclear Power Plant. License application

    International Nuclear Information System (INIS)

    The Green County reactor, a PWR to be supplied by Babcock and Wilcox, will be a baseload generating facility planned to provide for mass transit and other public agency electrical needs. The plant is scheduled for completion by 1983 and will have a generating capacity of about 1200 MW(e). (FS)

  8. 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).

  9. 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...

  10. 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...

  11. 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...

  12. Malheur National Wildlife Refuge: Narrative Report: 1938: Camp Sod House BF-2: 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 Sod House on Malheur Migratory Waterfowl Refuge. Topics include...

  13. Malheur National Wildlife Refuge: Narrative Report: 1936: CCC Camps: 2: November

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes CCC activies on Malheur Migratory Waterfowl Refuge. Topics include construction, land...

  14. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Sod House BF-2: 2: 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 Sod House BF2 on Malheur Migratory Waterfowl Refuge. Topics include...

  15. 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...

  16. Malheur National Wildlife Refuge: Narrative Report: 1939: CCC Camps: 1: February-March

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  17. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Sod House BF-2: 3: August

    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 Sod House BF2 on Malheur Migratory Waterfowl Refuge. Topics include...

  18. Malheur National Wildlife Refuge: Narrative Report: 1936: CCC Camps: 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 Sod House on Malheur Migratory Waterfowl Refuge. Topics include...

  19. 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...

  20. Malheur National Wildlife Refuge: Narrative Report: 1942: Camp Sod House BF-2: 2: April-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  1. Malheur National Wildlife Refuge: Narrative Report: 1940: Camps BS-1&2: 1: February-March

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  2. Malheur National Wildlife Refuge: Narrative Report: 1941: Camps FWS-1&2: 2: April-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  3. 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...

  4. Malheur National Wildlife Refuge: Narrative Report: 1938-1939: CCC Camps: 5: December-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  5. Malheur National Wildlife Refuge: Narrative Report: 1938: Camp Sod House BF-2: 2: May-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 Sod House Malheur Migratory Waterfowl Refuge. Topics include construction,...

  6. Malheur National Wildlife Refuge: Narrative Report: 1938: CCC Camps: 4: October-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  7. 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...

  8. Malheur National Wildlife Refuge: Narrative Report: 1942: Camp Sod House BF-2: 1: January-March

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  9. Malheur National Wildlife Refuge: Narrative Report: 1938: Camp Five Mile BF-1: 2: May-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...

  10. Malheur National Wildlife Refuge: Narrative Report: 1939: CCC Camps: 3: June-July

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  11. Malheur National Wildlife Refuge: Narrative Report: 1940: CCC Camps: 1: April-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  12. 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...

  13. Malheur National Wildlife Refuge: Narrative Report: 1938: CCC Camps: 3: September

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  14. Malheur National Wildlife Refuge: Narrative Report: 1940: Camps FWS-1&2: 1: July-September

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  15. Malheur National Wildlife Refuge: Narrative Report: 1941: Camps FWS-1&2: 3: July-September

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  16. Malheur National Wildlife Refuge: Narrative Report: 1936: CCC Camps: 1: October

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This narrative report from the Civilian Conservation Corps summarizes CCC activies on Malheur Migratory Waterfowl Refuge. Topics include construction, land...

  17. 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...

  18. Malheur National Wildlife Refuge: Narrative Report: 1939: CCC Camps: 2: April-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  19. Malheur National Wildlife Refuge: Narrative Report: 1937: Camp Sod House BF-2: 1: 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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  20. Malheur National Wildlife Refuge: Narrative Report: 1939: Camps BS-1&2: 1: October-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  1. 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...

  2. Malheur National Wildlife Refuge: Narrative Report: 1940: Camps FWS-1&2: 2: October-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 Sod House and Five Mile on Malheur Migratory Waterfowl Refuge. Topics...

  3. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Sod House BF-2: 1: May-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 Sod House BF2 on Malheur Migratory Waterfowl Refuge. Topics include...

  4. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Sod House BF-2: 2: July

    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 Sod House BF2 on Malheur Migratory Waterfowl Refuge. Topics include...

  5. 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...

  6. Malheur National Wildlife Refuge: Narrative Report: 1939: CCC Camps: 4: August-September

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  7. Malheur National Wildlife Refuge: Narrative Report: 1941: Camps FWS-1&2: 4: October-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  8. Malheur National Wildlife Refuge: Narrative Report: 1936: Camp Sod House BF-2: 4: September

    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 Sod House BF2 on Malheur Migratory Waterfowl Refuge. Topics include...

  9. Malheur National Wildlife Refuge: Narrative Report: 1941: Camps FWS-1&2: 1: January-March

    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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  10. Malheur National Wildlife Refuge: Narrative Report: 1938: Camp Five Mile BF-1: 3: July-August

    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: 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...

  12. Malheur National Wildlife Refuge: Narrative Report: 1953: 1: January-April

    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...

  13. 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...

  14. Malheur National Wildlife Refuge: Narrative Report: 1957: 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 January through April of 1957. The report begins by summarizing the weather conditions...

  15. 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...

  16. 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...

  17. 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,...

  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. 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....

  20. 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...

  1. 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.

  2. 78 FR 59919 - Pershing County Water Conservation District; Notice of Application Accepted for Filing With the...

    Science.gov (United States)

    2013-09-30

    ... quantities, and would operate the project within the constraints of the irrigation release operation... described above, the applicant's close coordination with federal and state agencies during the preparation... Energy Regulatory Commission Pershing County Water Conservation District; Notice of Application...

  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. 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....

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. Malheur National Wildlife Refuge: Narrative Report: 1939-1940: Camps BS-1&2: 2: December-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 Sod House, Buena Vista and Five Mile on Malheur Migratory Waterfowl...

  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. 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...

  13. 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).

  14. 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...

  15. 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...), intend to prepare a comprehensive conservation plan (CCP) for Deer Flat National Wildlife Refuge (Refuge....gov . Fax: Attn: Refuge Manager, (208) 467-1019. U.S. Mail: Refuge Manager, Deer Flat...

  16. 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...

  17. Applications of remote sensing techniques to county land use and flood hazard mapping

    Science.gov (United States)

    Clark, R. B.; Conn, J. S.; Miller, D. A.; Mouat, D. A.

    1975-01-01

    The application of remote sensing in Arizona is discussed. Land use and flood hazard mapping completed by the Applied Remote Sensing Program is described. Areas subject to periodic flood inundation are delineated and land use maps monitoring the growth within specific counties are provided.

  18. 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, Units 1 and 2) Notice of Atomic Safety and Licensing Board Reconstitution Pursuant to 10 CFR 2.313(c) and 2.321(b), the Atomic Safety and...

  19. 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 MalheurHarney Lakes Basin is located in the northern portion of the intermountain region. There is no outlet to the sea and the only way any water leaves is by...

  20. 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

  1. Habitat Evaluation Procedures (HEP) Report : Malheur River Wildlife Mitigation, 2000-2002 Technical Report.

    Energy Technology Data Exchange (ETDEWEB)

    Gonzalez, Daniel; Wenick, Jess

    2002-02-06

    Scientific Review Panel (ISRP). Program participants are responsible for creating management plans for each of the 52 subbasins. Upon approval by the Council, the management plan is then incorporated into the Program. In 1998, the Tribe submitted two land acquisition proposals for funding through Bonneville's Wildlife Mitigation Program, the Logan Valley and Malheur River Wildlife Mitigation Projects. After several months of rigorous scrutiny and defense of its project presentations, the Tribe was awarded both acquisitions. In February of 2000, the Tribe and BPA entered into a Memorandum of Agreement (MOA) to fund the acquisition and management of Logan Valley and the Malheur River Projects. In April and November of 2000, the Tribe acquired the Logan Valley property (Project) and the Malheur River Wildlife Mitigation Project, respectively. The MOA requires the Tribe to dedicate the Project to wildlife habitat protection. Project management must be consistent with the term and conditions of the MOA and a site-specific management plan (Plan) that is to be prepared by the Tribe. The Malheur River Wildlife Mitigation Project (Denny Jones Ranch) allows the Tribe to manage 6,385 acres of meadow, wetland, and sagebrush steppe habitats along the Malheur River. The deeded property includes seven miles of the Malheur River, the largest private landholding along this waterway between Riverside and Harper. The property came with approximately 938 acres of senior water rights and 38,377 acres of federal and state grazing allotments. The project will benefit a diverse population of fish, wildlife, and plant species. Objectives include reviving and improving critical habitat for fish and wildlife populations, controlling/ eradicating weed populations, improving water quality, maintaining Bureau of Land Management (BLM) allotments, and preserving cultural resources. Before the Tribe acquired the project site, a combination of high levels of cattle stocking rates, management strategy

  2. Application of a Novel Method for Assessing Cumulative Risk Burden by County

    Directory of Open Access Journals (Sweden)

    Ken Sexton

    2012-05-01

    Full Text Available The purpose of this study is to apply the Human Security Index (HSI as a tool to detect social and economic cumulative risk burden at a county-level in the state of Texas. The HSI is an index comprising a network of three sub-components or “fabrics”; the Economic, Environmental, and Social Fabrics. We hypothesized that the HSI will be a useful instrument for identifying and analyzing socioeconomic conditions that contribute to cumulative risk burden in vulnerable counties. We expected to identify statistical associations between cumulative risk burden and (a ethnic concentration and (b geographic proximity to the Texas-Mexico border. Findings from this study indicate that the Texas-Mexico border region did not have consistently higher total or individual fabric scores as would be suggested by the high disease burden and low income in this region. While the Economic, Environmental, Social Fabrics (including the Health subfabric were highly associated with Hispanic ethnic concentration, the overall HSI and the Crime subfabric were not. In addition, the Education, Health and Crime subfabrics were associated with African American racial composition, while Environment, Economic and Social Fabrics were not. Application of the HSI to Texas counties provides a fuller and more nuanced understanding of socioeconomic and environmental conditions, and increases awareness of the role played by environmental, economic, and social factors in observed health disparities by race/ethnicity and geographic region.

  3. The application of EH-4 to Cu-Co polymetallic ore deposits in Baihe, Qidong county

    International Nuclear Information System (INIS)

    This article has briefly introduced the application method of EH-4 source audio-frequency magnetotelluric sounding to Cu-Co polymetallic ore deposits in Baihe, Qidong County. Combining data obtained by the electric-magnetic survey in the field observation with the geological features of the mining area, we carry on the inference explanation, understood initially the copper cobalt ore body's distribution range and the burying depth situation, and provide geophysical prospecting basis for the further exploration work in this mining area. (authors)

  4. 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

  5. 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);...

  6. 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

  7. Fire Stations, Clayton County Fire Stations locations, Published in 2011, Not Applicable scale, Clayton County Fire and Emergency Services.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Fire Stations dataset, published at Not Applicable scale, was produced all or in part from Orthoimagery information as of 2011. It is described as 'Clayton...

  8. 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...

  9. 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...

  10. 76 FR 1610 - Yuba County Water Agency; Notice of Intent To File License Application, Filing of Pre-Application...

    Science.gov (United States)

    2011-01-11

    .... (PST) Location: Yuba County Government Center, Conference Rooms 1 and 2, 915 8th Street, Marysville, California Evening Scoping Meeting Date and Time: Wednesday, February 2, 2011, 7 p.m. (PST) Location: Yuba... and Time: Tuesday, February 1, 2011, 8 a.m.-4:30 p.m. (PST) Location: Meet at Yuba County Water...

  11. The Application of Digital Terrain Analysis for Digital Soil Mapping : Examples from Vestfold County, South-Eastern Norway

    OpenAIRE

    2007-01-01

    Digital terrain modeling has revolutionized the way topography is characterized and analyzed. Its applicability has widened to almost anything where topography has a role to play. On the other hand, digital soil mapping has become the pedological paradigm of the time as it is making tremendous improvements in the ways soil information is obtained, stored, retrieved and manipulated. This research was conducted in Vestfold County of south-eastern Norway to use digital terrain analysis aided by...

  12. 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...

  13. 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.

  14. Potential For Denitrification near Reclaimed Water Application Sites in Orange County, Florida, 2009

    Science.gov (United States)

    Byrne, Michael J., Sr.; Smith, Richard L.; Repert, Deborah A.

    2012-01-01

    The potential for denitrification was tested in water samples from four Upper Floridan aquifer wells near a reclaimed water application site, in west Orange County Florida, and two adjacent springs. Results of the study indicate that denitrifying bacteria are present in the groundwater and spring water samples, and that these bacteria can readily denitrify the waters when suitable geochemical conditions exist. The acetylene block technique was used to assess nitrous oxide in the samples that was produced by denitrification. The laboratory incubation experiment consisted of four different treatments to each of the six samples: (1) ambient water (no added nitrate or glucose), (2) ambient water amended with 1.4 milligrams per liter (mg/L) nitrate as nitrogen (N), (3) ambient water amended with 5.0 mg/L nitrate as N, and (4) ambient water amended with 5.0 mg/L nitrate as N and 10 mg/L glucose as C6H12O6. A companion set of incubations using treatment 2 tracked changes in nitrate and nitrite concentration with time. The rate of denitrification in treatment 2 ranged from 0.059 to 0.124 milligram per liter per day nitrogen [(mg/L)/d N] and in treatment 3 ranged from 0.071 to 0.226 (mg/L)/d N. At all of the sampling sites, treatment 4 yielded denitrification rates at least an order of magnitude greater than those measured for the other treatments; rates ranged from 2.3 to 4.4 (mg/L)/d N. The electron donor supply, dissolved organic carbon, in the groundwater and springwater is sufficient to remove at least 1.1-1.4 mg/L nitrate as N in 20 to 30 days, as indicated by nitrous oxide production rates under ambient conditions (treatment 1). The even higher nitrate removal observed with addition of supplemental carbon in treatment 4 suggests that carbon is a limiting nutrient in this reaction. Denitrifying activity might explain the low ambient nitrate concentrations in the Upper Floridan aquifer in this area.

  15. Application of Spatial Regression Models to Income Poverty Ratios in Middle Delta Contiguous Counties in Egypt

    OpenAIRE

    Sohair F. Higazi; Dina H. Abdel-Hady; Samir Ahmed Al-Oulfi

    2013-01-01

    Regression analysis depends on several assumptions that have to be satisfied. A major assumption that is never satisfied when variables are from contiguous observations is the independence of error terms. Spatial analysis treated the violation of that assumption by two derived models that put contiguity of observations into consideration. Data used are from Egypt's 2006 latest census, for 93 counties in middle delta seven adjacent Governorates. The dependent variable used is the percent of in...

  16. Application of Spatial Regression Models to Income Poverty Ratios in Middle Delta Contiguous Counties in Egypt

    Directory of Open Access Journals (Sweden)

    Sohair F Higazi

    2013-02-01

    Full Text Available Regression analysis depends on several assumptions that have to be satisfied. A major assumption that is never satisfied when variables are from contiguous observations is the independence of error terms. Spatial analysis treated the violation of that assumption by two derived models that put contiguity of observations into consideration. Data used are from Egypt's 2006 latest census, for 93 counties in middle delta seven adjacent Governorates. The dependent variable used is the percent of individuals classified as poor (those who make less than 1$ daily. Predictors are some demographic indicators. Explanatory Spatial Data Analysis (ESDA is performed to examine the existence of spatial clustering and spatial autocorrelation between neighboring counties. The ESDA revealed spatial clusters and spatial correlation between locations. Three statistical models are applied to the data, the Ordinary Least Square regression model (OLS, the Spatial Error Model (SEM and the Spatial Lag Model (SLM.The Likelihood Ratio test and some information criterions are used to compare SLM and SEM to OLS. The SEM model proved to be better than the SLM model. Recommendations are drawn regarding the two spatial models used.

  17. 77 FR 61017 - Draft Habitat Conservation Plan and Application for an Incidental Take Permit, Yamhill County, OR

    Science.gov (United States)

    2012-10-05

    ... and Wildlife Office, Pacific Region, U. S. Fish and Wildlife Service, Portland, Oregon. BILLING CODE... County-owned Deer Creek Park (30 acres) in Yamhill County, Oregon. Activities that would be covered under... critical habitats are known to occur on lands within the County right-of-way. The Special Maintenance...

  18. 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.

  19. 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.

  20. Aerial Photography and Imagery, Ortho-Corrected, Published in 2010, Not Applicable scale, Ashland County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Ortho-Corrected dataset, published at Not Applicable scale, was produced all or in part from Orthoimagery information as of...

  1. 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...

  2. 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...

  3. 78 FR 32367 - Foreign-Trade Zone 146-Lawrence County, Illinois; Application for Reorganization and Expansion...

    Science.gov (United States)

    2013-05-30

    ... on May 20, 2013. FTZ 146 was approved by the FTZ Board on February 11, 1988 (Board Order 371, 53 FR 5436, 2/24/1988) and expanded on April 18, 2000 (Board Order 1085, 65 FR 24675, 4/27/2000). The current... Reorganization and Expansion Under Alternative Site Framework An application has been submitted to the...

  4. 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...

  5. 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...

  6. 76 FR 25318 - Public Utility District No. 1 Chelan County; Notice of Application for Amendment of License and...

    Science.gov (United States)

    2011-05-04

    ... Chelan County near the City of Chelan, Washington. g. Filed Pursuant to: Federal Power Act 16 U.S.C. 791... existing dock; a marina with a floating walk (6 ft x 428 ft) and 28 finger piers (3 ft x 26 ft) parallel...

  7. 75 FR 17402 - Public Utility District No. 1 of Snohomish County, WA; Notice of Preliminary Permit Application...

    Science.gov (United States)

    2010-04-06

    ... Federal Power Act (FPA), proposing to study the feasibility of the Admiralty Inlet Tidal Energy Project to... From the Federal Register Online via the Government Publishing Office ] DEPARTMENT OF ENERGY Federal Energy Regulatory Commission Public Utility District No. 1 of Snohomish County, WA; Notice...

  8. Fire and EMS Districts, 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 Fire and EMS 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...

  9. Public Lands, Other, This would include all counties owned by Chippewa County that are not Forest or Park. Most lands obtained through tax deed., Published in 2013, Not Applicable scale, Chippewa County.

    Data.gov (United States)

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

  10. 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...

  11. 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

  12. 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.

  13. 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.

  14. 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...

  15. 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...

  16. On the Management of County Power Supply Enterprise ERP Application On the Management of County Power Supply Enterprise ERP Application of Typical Experience%浅谈县级供电企业ERP实用化管理典型经验

    Institute of Scientific and Technical Information of China (English)

    徐宏

    2015-01-01

    Led by the Zhejiang Provincial power company, under the jurisdiction of the County power supply companies are striving to build information technology and ERP systems using, but for various reasons, ERP application still has some problems. Taking Tongxiang city power company, for example, on the typical experience of ERP utility management review and analysis, in order to enhance the level of County power supply enterprise ERP application start.%在浙江省电力公司主导下,下辖各县供电公司均大力开展信息化建设和ERP系统运用,但由于各种原因,ERP实用化尚存在一些问题。文章以桐乡市供电公司为例,就做好ERP实用化管理的典型经验进行梳理和分析,以期为提升县级供电企业ERP实用化水平而抛砖引玉。

  17. County and Parish Boundaries, Published in Not Provided, Los Angeles County CAO Urban Research.

    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...

  18. 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

  19. 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...

  20. Development, description, and application of a geographic information system data base for water resources in karst terrane in Greene County, Missouri

    Science.gov (United States)

    Waite, L.A.; Thomson, Kenneth C.

    1993-01-01

    A geographic information system data base was developed for Greene County, Missouri, to provide data for use in the protection of water resources. The geographic information system data base contains the following map layers: geology, cave entrances and passages, county and quadrangle boundary, dye traces, faults, geographic names, hypsography, hydrography, lineaments, Ozark aquifer potentio- metric surface, public land survey system, sink- holes, soils, springs, and transportation. Several serious incidents of ground-water contamination have been reported in the karst terrane developed in soluble carbonate rocks in Greene County. Karst terranes are environmentally sensitive because any contaminant carried by surface runoff has the potential for rapid transport through solution enlarged fractures to the ground-water system. In the karst terrane in Greene County, about 2,500 sinkholes have been located; these sinkholes are potential access points for contamination to the ground-water system. Recent examples of ground-water contamination by sewage, fertilizers, and hydrocarbon chemicals have demonstrated the sensitivity of ground water in the Greene County karst terrane to degradation. The ground-water system is a major source of drinking water for Greene County. The population in Greene County, which includes Springfield, the third largest city in Missouri, is rapidly increasing and the protection of the water resources of Greene County is an increasing concern.

  1. 77 FR 58821 - Public Utility District No. 1 of Chelan County; Notice of Application Accepted for Filing...

    Science.gov (United States)

    2012-09-24

    ...: The licensee submitted the filing to reflect a change on the hydraulic capacity of the project as a... by the Commission in an order issued in 2009. The as-built hydraulic capacity of the project is 2,600... Application: Non-Capacity Amendment of License. b. Project No.: 637-086. c. Date Filed: August 30, 2012....

  2. APPLICATION OF WATER-JET HORIZONTAL DRILLING TECHNOLOGY TO DRILL AND ACIDIZE HORIZONTAL DRAIN HOLES, TEDBIT (SAN ANDRES) FIELD, GAINES COUNTY, TEXAS

    Energy Technology Data Exchange (ETDEWEB)

    Michael W. Rose

    2005-09-22

    The San Andres Formation is one of the major hydrocarbon-producing units in the Permian Basin, with multiple reservoirs contained within the dolomitized subtidal portions of upward shoaling carbonate shelf cycles. The test well is located in Tedbit (San Andres) Field in northeastern Gaines County, Texas, in an area of scattered San Andres production associated with local structural highs. Selected on the basis of geological and historical data, the Oil and Gas Properties Wood No. 1 well is considered to be typical of a large number of San Andres stripper wells in the Permian Basin. Thus, successful completion of horizontal drain holes in this well would demonstrate a widely applicable enhanced recovery technology. Water-jet horizontal drilling is an emerging technology with the potential to provide significant economic benefits in marginal wells. Forecast benefits include lower recompletion costs and improved hydrocarbon recoveries. The technology utilizes water under high pressure, conveyed through small-diameter coiled tubing, to jet horizontal drain holes into producing formations. Testing of this technology was conducted with inconclusive results. Paraffin sludge and mechanical problems were encountered in the wellbore, initially preventing the water-jet tool from reaching the kick-off point. After correcting these problems and attempting to cut a casing window with the water-jet milling assembly, lateral jetting was attempted without success.

  3. 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.

  4. 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.

  5. 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...

  6. 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,...

  7. Taos County Roads

    Data.gov (United States)

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

  8. Allegheny County TIF Boundaries

    Data.gov (United States)

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

  9. Allegheny County Property 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...

  10. 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. If viewing this description on the Western Pennsylvania Regional Data Center’s...

  11. 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,...

  12. ROE County Data

    Data.gov (United States)

    U.S. Environmental Protection Agency — This polygon dataset shows the outlines of states, counties, and county equivalents (Louisiana parishes, Alaska boroughs, Puerto Rico municipalities, and U.S....

  13. 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...

  14. 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...

  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. 77 FR 2717 - Cherokee County Cogeneration Partners, LLC; Supplemental Notice That Initial Market-Based Rate...

    Science.gov (United States)

    2012-01-19

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF ENERGY Federal Energy Regulatory Commission Cherokee County Cogeneration Partners, LLC; Supplemental Notice That Initial... notice in the above-referenced proceeding of Cherokee County Cogeneration Partners, LLC's application...

  17. 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.

  18. The application of LANDSAT remote sensing technology to natural resources management. Section 1: Introduction to VICAR - Image classification module. Section 2: Forest resource assessment of Humboldt County.

    Science.gov (United States)

    Fox, L., III (Principal Investigator); Mayer, K. E.

    1980-01-01

    A teaching module on image classification procedures using the VICAR computer software package was developed to optimize the training benefits for users of the VICAR programs. The field test of the module is discussed. An intensive forest land inventory strategy was developed for Humboldt County. The results indicate that LANDSAT data can be computer classified to yield site specific forest resource information with high accuracy (82%). The "Douglas-fir 80%" category was found to cover approximately 21% of the county and "Mixed Conifer 80%" covering about 13%. The "Redwood 80%" resource category, which represented dense old growth trees as well as large second growth, comprised 4.0% of the total vegetation mosaic. Furthermore, the "Brush" and "Brush-Regeneration" categories were found to be a significant part of the vegetative community, with area estimates of 9.4 and 10.0%.

  19. Application of a Combined Model with Autoregressive Integrated Moving Average (ARIMA) and Generalized Regression Neural Network (GRNN) in Forecasting Hepatitis Incidence in Heng County, China

    Science.gov (United States)

    Liang, Hao; Gao, Lian; Liang, Bingyu; Huang, Jiegang; Zang, Ning; Liao, Yanyan; Yu, Jun; Lai, Jingzhen; Qin, Fengxiang; Su, Jinming; Ye, Li; Chen, Hui

    2016-01-01

    Background Hepatitis is a serious public health problem with increasing cases and property damage in Heng County. It is necessary to develop a model to predict the hepatitis epidemic that could be useful for preventing this disease. Methods The autoregressive integrated moving average (ARIMA) model and the generalized regression neural network (GRNN) model were used to fit the incidence data from the Heng County CDC (Center for Disease Control and Prevention) from January 2005 to December 2012. Then, the ARIMA-GRNN hybrid model was developed. The incidence data from January 2013 to December 2013 were used to validate the models. Several parameters, including mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and mean square error (MSE), were used to compare the performance among the three models. Results The morbidity of hepatitis from Jan 2005 to Dec 2012 has seasonal variation and slightly rising trend. The ARIMA(0,1,2)(1,1,1)12 model was the most appropriate one with the residual test showing a white noise sequence. The smoothing factor of the basic GRNN model and the combined model was 1.8 and 0.07, respectively. The four parameters of the hybrid model were lower than those of the two single models in the validation. The parameters values of the GRNN model were the lowest in the fitting of the three models. Conclusions The hybrid ARIMA-GRNN model showed better hepatitis incidence forecasting in Heng County than the single ARIMA model and the basic GRNN model. It is a potential decision-supportive tool for controlling hepatitis in Heng County. PMID:27258555

  20. 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...

  1. Geodetic Control Points, Chippewa County has been working on tightening up their control network over the years. The first network was constructed in 1993, with densification done from 2008-2011., Published in 2011, Not Applicable scale, Chippewa County.

    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 2011. It is described...

  2. School Districts, We put this layer together by using the school code associated with each parcel in the County & also compared that with data from the school districts & the state data., Published in 2013, Not Applicable scale, Chippewa County.

    Data.gov (United States)

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

  3. 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...

  4. Trails, Hiking, We currently have the Ice Age trail, but need to add more of the hiking trails in the County Forest & other areas., Published in 2010, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, Hiking dataset, published at Not Applicable scale, was produced all or in part from Field Observation information as of 2010. It is described as 'We...

  5. 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。

  6. The Analysis of County Science and Technology Worker Internet Usage and Its Influence Factors

    OpenAIRE

    Huiping, Chen; Zhihong, Tian; Yubin, Wang; Xue, Han

    2013-01-01

    The county science and technology workers are critical components of Chinese science and technology workers, playing an important role in science and technology application and popularization. Improving the skills for Internet use of Chinese county science and technology workers can promote the level of science and technology in our counties and towns and expand the way of transformation of advance scientific and technological achievements. This paper analyzes county science and technology wo...

  7. A New Method for Estimating the Number of Undiagnosed HIV Infected Based on HIV Testing History, with an Application to Men Who Have Sex with Men in Seattle/King County, WA.

    Directory of Open Access Journals (Sweden)

    Ian E Fellows

    Full Text Available We develop a new approach for estimating the undiagnosed fraction of HIV cases, the first step in the HIV Care Cascade. The goal is to address a critical blindspot in HIV prevention and treatment planning, with an approach that simplifies data requirements and can be implemented with open-source software. The primary data required is HIV testing history information on newly diagnosed cases. Two methods are presented and compared. The first is a general methodology based on simplified back-calculation that can be used to assess changes in the undiagnosed fraction over time. The second makes an assumption of constant incidence, allowing the estimate to be expressed as a simple closed formula calculation. We demonstrate the methods with an application to HIV diagnoses among men who have sex with men (MSM from Seattle/King County. The estimates suggest that 6% of HIV-infected MSM in King County are undiagnosed, about one-third of the comparable national estimate. A sensitivity analysis on the key distributional assumption gives an upper bound of 11%. The undiagnosed fraction varies by race/ethnicity, with estimates of 4.9% among white, 8.6% of African American, and 9.3% of Hispanic HIV-infected MSM being undiagnosed.

  8. 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.

  9. 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,...

  10. 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,...

  11. 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...

  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. Minnesota County Boundaries - lines

    Data.gov (United States)

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

  14. 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...

  15. Allegheny County Building Footprints

    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...

  16. 7 CFR 958.4 - Production area.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 8 2010-01-01 2010-01-01 false Production area. 958.4 Section 958.4 Agriculture... COUNTIES IN IDAHO, AND MALHEUR COUNTY, OREGON Order Regulating Handling Definitions § 958.4 Production area. Production area means all territory included within the boundaries of the County of Malheur in Oregon,...

  17. Initial Study on Application of SPOT5 Satellite Data to Forest Resource Inventory at County Level%SPOT5卫星数据在旗县森林资源调查中的应用

    Institute of Scientific and Technical Information of China (English)

    段河

    2011-01-01

    SPOT5卫星数据应用是当前森林资源遥感调查的热点。文章对应用SPOT5卫星数据进行旗县森林资源调查的方法作了分析和总结,并提出了建议。%The application of SPOT5 satellite data to current remote sensing inventory of forest resources is afocal topic at present.In the paper systematic summary of the methods,precision and benefit of forest re-sources inventory at county level by using SPOT5 satellite data has been done and compared themwithmethodsof traditional inventory and TMsatellite image remote sensing.

  18. Sorption kinetics of Pb2+, Cu2+ and Zn2+ ions by natural zeolites from Maramures County (northern Romania: potential application in wastewater reuse

    Directory of Open Access Journals (Sweden)

    Irina Smical

    2011-10-01

    Full Text Available The sorption kinetics of Pb2+, Cu2+ and Zn2+ ions by natural zeolite tuff from MaramureşCounty (northern Romania was studied using agitated batch laboratory apparatus at two temperaturelevels of 25 0C and 50 0C. The sorption kinetics of studied heavy metals ions by the natural zeolitic tuffwas established by fitting of experimental data using various models applied in the kinetic studies ofheavy metals sorption onto ions exchangers (pseudo-order 1, pseudo-order 2 and Weber-Morris. Fromall of these the best results were recorded for the pseudo-order 1 model use. The interaction betweenmetal ions and adsorbent surface is made on a single adsorption site and the adsorption mechanism isa diffusive one through the adsorbent pores.

  19. 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.

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. Valencia County E-911 Roads

    Data.gov (United States)

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

  6. 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...

  7. Allegheny County Property Sale Transactions

    Data.gov (United States)

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

  8. 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...

  9. DOT Official County Highway Map

    Data.gov (United States)

    Minnesota Department of Natural Resources — The County Highway Map theme is a scanned and rectified version of the original MnDOT County Highway Map Series. The cultural features on some of these maps may be...

  10. 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...

  11. 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.

  12. County Amenities and Net Migration

    OpenAIRE

    Rupasingha, Anil; Goetz, Stephan J.

    2004-01-01

    U.S. county-level net migration data and a general spatial model are used to examine the effects of various amenities on migration decisions. Results suggest that higher county cancer risks and the presence of superfund sites in a county, or a higher ranking on the Environmental Protection Agency's hazard ranking system, reduce the relative attractiveness of a county to prospective migrants, while natural amenities on balance attract migrants, ceteris paribus. The results also reveal spatial ...

  13. 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

  14. 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

    2003-05-20

    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 are undertaking a focused, comprehensive, integrated and multidisciplinary study of Upper Jurassic Smackover carbonates (Class II Reservoir), involving reservoir characterization and 3-D modeling and an integrated field demonstration project at Womack Hill Oil Field Unit, Choctaw and Clarke Counties, Alabama, Eastern Gulf Coastal Plain. 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 principal research efforts for Year 3 of the project have been recovery technology analysis and recovery technology evaluation. The research focus has primarily been on well test analysis, 3-D reservoir simulation, microbial core experiments, and the decision to acquire new seismic data for the Womack Hill Field area. Although Geoscientific Reservoir Characterization and 3-D Geologic Modeling have been completed and Petrophysical and Engineering Characterization and Microbial Characterization are essentially on schedule, a no-cost extension until September 30, 2003, has been granted by DOE so that new seismic data for the Womack Hill Field can be acquired and interpreted to assist in the determination as to whether Phase II of the project should be implemented.

  15. Application of ARIMA model in annual precipitation forecasting of Tiandong County%ARIMA模型在田东县年降雨量预测中的应用

    Institute of Scientific and Technical Information of China (English)

    王宝红; 康永辉

    2014-01-01

    介绍了自回归移动平均模型ARIMA(p,d,q)的原理和建模方法。根据田东县近年来年降雨量特征,建立了ARIMA(1,1,12)预测模型进行分析预测,并与灰色预测模型GM(1,1)的预测结果进行对比,对比的结果是ARIMA模型的预测精度比灰色预测模型的精度明显提高。%An introduction was made on the principle and modeling method of ARIMA(p,d,q)model. According to the annual precipitation characteristics of Tiandong County in recent years,ARIMA(1,1,12)model was set up for analysis and forecasting. The forecasting achievements were compared with that out of GM(1,1),showing that the precision of forecasting achievements out of ARIMA model is obviously higher than that out of GM.

  16. 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.

  17. The application of k-shell x-ray fluorescence to determine bone lead burden and its correlation with hypertension among African Americans in Gadsden County, Florida

    Science.gov (United States)

    Jackson-Edwards, Patrice

    Photons from k shell x-ray fluorescence illuminates lead atoms by measuring the characteristic x-rays which indicate the abundance of 210Pb present in a sample. The measurement utilizes a 109Cd source and a low-energy germanium detector, which has emerged as the best available technique for estimating cumulative exposure to lead in adults and for predicting lead-associated risks for adult chronic disease outcomes such as hypertension. The main focus of this study, was to show the correlation between bone lead concentration at the tibia (mean +/- standard deviation of 7+/-1 ppm) and patella (mean +/- standard deviation of 6+/-1 ppm) bone sites and hypertension (mean +/- standard deviation of the systolic standing 143+/-18mmHg, systolic sitting 140+/-17mmHg, diastolic standing 88+/-14 mmHg, and diastolic sitting 81+/-9 mmHg), among the 67 Gadsden County subjects that participated in this study. This was accomplished using FAMU's setup for the detector. The gamma rays emitted by the 109Cd source are scattered by atomic electrons in the k-shell. Excited electrons in the k-shell then spontaneously fluoresce at 88 keV as a signature of lead in the bone. The 88 keV photons are then detected at an angle of 180 degrees with respect to the incident x-ray direction and are detected by the Canberra Germanium solid-state detector bathed in liquid nitrogen. Results show that in this population all lead biomarkers (tibia lead, patella lead, and blood lead) were not significant contributors to the occurrence of hypertension. In the final logistic regression analysis, age and gender were predictors for the occurrence of hypertension at the pwill help contribute to the understanding of the body's management of lead toxicity and to KXRF techniques currently used in physics research.

  18. Zoning Districts, This layer is still under construction. All of the County zoning district information is now available, but we are working on getting all of the information compiled from the other municipalities in the County., Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zoning 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 'This...

  19. Recreational Areas, This would include state natural areas, parks (public & private) and campgrounds., Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

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

  20. Cities, Towns and Villages, This layer is compiled by using our USPLS GPS survey & updated when annexations occur, Published in 2013, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Cities, Towns and Villages dataset, published at Not Applicable scale, was produced all or in part from Published Reports/Deeds information as of 2013. It is...

  1. Trails, Bike, This would include mountain bike trails, designated bike trails & bike routes., Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

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

  2. Trails, Snowmobile, Information for this layer is provided by the local snowmobiling clubs., Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

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

  3. Digital Surface and Terrain Models (DSM,DTM), Our DSM was created by our LiDAR vendor, Sanborne., Published in 2012, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Digital Surface and Terrain Models (DSM,DTM) dataset, published at Not Applicable scale, was produced all or in part from Field Observation information as of...

  4. 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...

  5. 78 FR 29657 - Prevailing Rate Systems; Definition of Vanderburgh County, Indiana, to a Nonappropriated Fund...

    Science.gov (United States)

    2013-05-21

    ... OF PERSONNEL MANAGEMENT 5 CFR Part 532 RIN 3206-AM82 Prevailing Rate Systems; Definition of..., St. Clair County, IL; one area of application city, St. Louis City, MO; and five area of application... Indiana: Vanderburgh Missouri: (city) St. Louis Missouri: (counties) Jefferson Pulaski * * * * *...

  6. Attitudes, Opinions and Behavior of Managers on Application of Ecological Marketing in their Business - Testing Hypotheses - Case Study:Brasov County

    Directory of Open Access Journals (Sweden)

    Funaru, M.

    2014-06-01

    Full Text Available This paper presents results of a quantitative research which studies the attitudes, opinions and behavior of managers of companies in Brasov on application of ecological marketing in their business. The research method used is a sample survey based. Research objectives are considering to determine the extent to which managers know and apply ecological marketing, reasons for which the ecological marketing application is a long-term strategy, views on the opportunity to apply ecological marketing etc. Conclusions drawn from testing of hypotheses of research show that, generally, managers of local firms consider ecological marketing as a long-term strategy of the company. The percentage of managers that applied ecological marketing in companies does not exceed 60%. A relatively small percentage of respondents believes that the application of ecological marketing within firms is a necessity, a social responsibility that can bring long-term benefits to companies.

  7. Snohomish County Biodiesel Project

    Energy Technology Data Exchange (ETDEWEB)

    Terrill Chang; Deanna Carveth

    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.

  8. 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

  9. Application of the Local Grid Refinement package to an inset model simulating the interactions of lakes, wells, and shallow groundwater, northwestern Waukesha County, Wisconsin

    Science.gov (United States)

    Feinstein, D.T.; Dunning, C.P.; Juckem, P.F.; Hunt, R.J.

    2010-01-01

    Groundwater use from shallow, high-capacity wells is expected to increase across southeastern Wisconsin in the next decade (2010-2020), owing to residential and business growth and the need for shallow water to be blended with deeper water of lesser quality, containing, for example, excessive levels of radium. However, this increased pumping has the potential to affect surface-water features. A previously developed regional groundwater-flow model for southeastern Wisconsin was used as the starting point for a new model to characterize the hydrology of part of northwestern Waukesha County, with a particular focus on the relation between the shallow aquifer and several area lakes. An inset MODFLOW model was embedded in an updated version of the original regional model. Modifications made within the inset model domain include finer grid resolution; representation of Beaver, Pine, and North Lakes by use of the LAK3 package in MODFLOW; and representation of selected stream reaches with the SFR package. Additionally, the inset model is actively linked to the regional model by use of the recently released Local Grid Refinement package for MODFLOW-2005, which allows changes at the regional scale to propagate to the local scale and vice versa. The calibrated inset model was used to simulate the hydrologic system in the Chenequa area under various weather and pumping conditions. The simulated model results for base conditions show that groundwater is the largest inflow component for Beaver Lake (equal to 59 percent of total inflow). For Pine and North Lakes, it is still an important component (equal, respectively, to 16 and 5 percent of total inflow), but for both lakes it is less than the contribution from precipitation and surface water. Severe drought conditions (simulated in a rough way by reducing both precipitation and recharge rates for 5 years to two-thirds of base values) cause correspondingly severe reductions in lake stage and flows. The addition of a test well

  10. Research on the technology application of integration of water into fertilizer for citrus Shatangju cultivation in Dahua County%大化县沙糖桔水肥一体化技术应用

    Institute of Scientific and Technical Information of China (English)

    覃同

    2015-01-01

    2012年以来,随着大化县优质、特色水果工程的实施,沙糖桔以香甜味美和具有丰富的营养价值倍受市场消费者的青睐,种植效益明显高于夏橙、椪柑、温州柑等,果农种植积极性高.笔者通过对大化县沙糖桔种植管理中应用的水肥一体化技术,实现桔园优质、高产、高效进行总结,为果农生产管理提供参考.%Since 2012, as the quality and niche fruit cultivation promotion project was implemented in Dahua county, the citrus Shatangju with characteristics of sweet taste and rich nutritional value got favour of consumer market.Planting benefit is significantly higher than that of summer orange, Ponkan, Wenzhou man-darin orange, so the citrus Shatangju orchardists plant with high enthusiasm. The author summarizes and pro-vides the reference for fruit production and management based on the research of application for sewage sludge integration technology in citrus Shatangju management, which realize the cultivation of good quality, high yield and advance efficiency in citrus orchard.

  11. A Comparative Study On Application Of Regulation Of Hygiene Education Dated 5 July 2013 Between Göynük And Güdül Counties

    OpenAIRE

    Mehmet Ruhi GÖKMOÐOL

    2014-01-01

    Abstract. Regulation of Hygiene Education has been published in compliance with the EU acquis on July 5, 2013 and has become valid on July 5, 2014. This study was conducted to determine the effect of local governments on increasing awareness and to increase the level of awareness as a result of the application of the trainings in Goynuk and Gudul in accordance with the regulations. During this study; questions have been asked by survey techniques and the responses have been analyzed by Studen...

  12. Injuries in Skaraborg County, Sweden

    OpenAIRE

    Ekman, Robert

    1996-01-01

    INJURIES IN SKARABORG COUNTY, SWEDEN Surveillance, analysis, and evaluation of community intervention at municipal and county level. by Robert Ekman, Karolinska Institutet, Department of Public Health Sciences, Division of Social Medicine, S-172 83 Sundbyberg, Sweden The Falköping Accident Prevention Program (FAPP) is based in Skaraborg County, Sweden. An injury register was started in 1978, and intervention began in 1979. Three years later the rate of injuri...

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

    Institute of Scientific and Technical Information of China (English)

    郭红梅; 李中建

    2015-01-01

    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 efficiency, improve the health of patients. SWOT analysis is dimethyl Hospital Practice Management in a very practical way, it is worth learning and promo-tion. Conclusion Application of SWOT analysis of internal factors, namely the hospital's own strengths and weaknesses as well as external factors which may exist in the external environment opportunities and threats to conduct a comprehensive analysis, relying on its own advantages while leveraging existing outside chance to make up for the presence of internal weaknesses and avoid external threats.%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

  14. A Comparative Study On Application Of Regulation Of Hygiene Education Dated 5 July 2013 Between Göynük And Güdül Counties

    OpenAIRE

    Gökmoğol, Mehmet Ruhi

    2014-01-01

    Regulation of Hygiene Education has been published in compliance with the EU acquis on July 5, 2013 and has become valid on July 5, 2014. This study was conducted to determine the effect of local governments on increasing awareness and to increase the level of awareness as a result of the application of the trainings in Goynuk and Gudul in accordance with the regulations. During this study; questions have been asked by survey techniques and the responses have been analyzed by Student's t-test...

  15. 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

  16. 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....

  17. 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...

  18. Watershed Boundaries, Yadkin County watersheds, Published in 1999, Yadkin County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Watershed Boundaries dataset as of 1999. It is described as 'Yadkin County watersheds'. Data by this publisher are often provided in State Plane coordinate...

  19. County and Parish Boundaries, stcounty, Published in 2003, Daggett County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Other information as of 2003. It is described as 'stcounty'. Data by this publisher are...

  20. 24 CFR 570.307 - Urban counties.

    Science.gov (United States)

    2010-04-01

    ... population and other pertinent demographic characteristics, and based on information provided by the county... will qualify as an urban county if such county meets the definition at § 570.3(3). As necessitated by this definition, the Secretary shall determine which counties have authority to carry out...

  1. 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...

  2. 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...

  3. 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...

  4. 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;...

  5. Health Resources County Comparison Tool

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Health Resources County Comparison Tool allows the public, local health planners, and researchers to compare health status indicators and health care resources...

  6. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. 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...

  15. Torrance County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — The Torrance County digital road network wa created as part of the State of New Mexico Enhanced 911 Addressing Grant. The original primary function was to lay the...

  16. 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...

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. Evaluation of Organic Rice Varieties and Study of Bio-organic Fertilizer Application Amount in Leye County%乐业县有机水稻品种评价及生物有机肥用量研究

    Institute of Scientific and Technical Information of China (English)

    陆燕; 张兴思

    2013-01-01

    [目的]对几个乐业县有机水稻品种进行评价,并对其适宜有机肥施用量进行研究,以便减少投入,获得最高经济效益,促进农民增收.[方法]有机水稻品种评价试验共选用5个水稻品种,分别为丰优香黏、宜香2292、新香占、两优2186、八桂香.生物有机肥施用量试验所用有机肥配比为35%羊粪∶30%厩肥∶15.5%桐麸∶19%沼气渣液∶0.5%生物菌剂,其施用量分别为4 500、5 250、6 000、6 750、7 500、8 250 kg/hm2,水稻品种为宜香2292.[结果]有机水稻品种评价试验结果表明:八桂香产量最高,但食用时口感不是很好,品质不理想;亲香占是常规品种,产量太低,在目前市场前景不是很好、有机米的销售价格不高、利润也不高的情况下难以推广;丰优香黏抗逆性稍弱;宜香2292品质较好,产量也高,多年来成为有机水稻示范基地的主打品种.生物有机肥施用量试验结果表明:随着生物有机肥用量的增加,水稻产量也在不断增加;当有机肥用量大于6 750 kg/hm2时,增加幅度明显减小,说明投入增大,经济效益没有继续明显增加;当有机肥用量为6 750、7 500、8 250 kg/hm2时,产量很接近,说明施肥成本增加的情况下,收入没有呈正比增加.[结论]今后宜香2292将继续成为有机水稻种植的重要品种之一.6 750 kg/hm2有机肥用量为最佳的施肥用量,投入产出比最大.%[Objective] The aim was to evaluate several organic rice varieties of Leye County,and study the suitable bio-organic fertilizer application amount,to reduce the input,gain the highest economic benefit and then increase farmer income.[Method] In organic rice varieties evaluation test,5 rice varieties were selected,which was Fengyouxiangnian,Yixiang 2292,Xinxiangzhan,Liangyou 2186,Baguixiang resp..In bioorganic fertilizer application amount test,the organic fertilizer was 35% sheep dung:30.0% yard manure:15.5% Clerodendrunm japonicum bran:19.0

  2. Application of Urban and Rural Planning Management Information Platform at County Level: A Case Study of Zengcheng%县域城乡规划管理信息化体系的建设与应用——以广东省增城市为例

    Institute of Scientific and Technical Information of China (English)

    邓毛颖; 周婷婷

    2011-01-01

    Taking Zengcheng as an example, this paper studies the application of the innovative system of informationization platform for urban planning management at county level. In the paper the system's framework, main techniques used in the system and effects achieved in the application practice are analyzed, and the system is compared with those in seven most developed counties in China in the aspects of service conception, service contents and service system. It is considered that the system framework made of three levels including basic data, database management and application service would be an appropriate model for county-level planning informationization development, and with the principle of low cost and practical applicability, techniques of software datalization, service-oriented architecture, data increment updating, CA mode and vector-grid hyalinization would be useful to solve some important problems in the process of county-level planning informationization.%以增城市为案例,分析了县域城乡规划管理信息化平台的总体构架、主要技术特征与实际应用效果,并从服务理念、服务内容和服务体系三方面与全国县域基本竞争力排在前列的七个县级市进行了对比分析.研究认为,以基础层、管理层和服务层构成的平台构架是一种适用于县域城乡规划信息化的创新发展模式,该模式在低成本、实用性的导向下,通过采用软件数化、面向服务构架、数据增量更新、元胞自动机和矢量-栅格透明化处理等技术可以有效解决当前困扰县域规划信息化的一些重要问题,从而顺利推进规划信息化工作的步伐.

  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. BASEMAP, Kitsap COUNTY, WA

    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,...

  5. 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,...

  6. BASEMAP, Pickaway 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,...

  7. BASEMAP, SUSSEX 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,...

  8. 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...

  9. BASEMAP, PINAL COUNTY, AZ

    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...

  10. BASEMAP, WALTHALL 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, JEFFERSON 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, 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, 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...

  14. 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,...

  15. BASEMAP, HENRY 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, WILKINSON 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,...

  17. 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,...

  18. BASEMAP, AMITE 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,...

  19. 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,...

  20. BASEMAP, CENTRE COUNTY, PA

    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,...

  1. BASEMAP, Marin COUNTY, CA

    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, Rankin 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, 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,...

  4. BASEMAP, CAROLINE 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,...

  5. BASEMAP, CAROLINE 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,...

  6. 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,...

  7. BASEMAP, RAVALLI COUNTY, MONTANA

    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, BROADWATER COUNTY, MONTANA

    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, DUVAL COUNTY, TEXAS

    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, CRAWFORD 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,...

  11. BASEMAP, DEFIANCE 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,...

  12. 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,...

  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. 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.

  15. 2010 South Carolina DNR Lidar: Richland County

    Data.gov (United States)

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

  16. 2010 South Carolina DNR Lidar: Lexington County

    Data.gov (United States)

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

  17. 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...

  18. 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...

  19. 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.

  20. 2010 South Carolina DNR Lidar: Saluda County

    Data.gov (United States)

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

  1. 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...

  2. 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,...

  3. 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...

  4. Address Points - Volusia County Addresses (Point)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Situs Addresses for Volusia County. Maintained by Growth and Resource Management. Addresses are determined by the cities for their jurisdiction and by the County...

  5. 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...

  6. 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...

  7. 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...

  8. 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...

  9. 2010 South Carolina DNR Lidar: Kershaw County

    Data.gov (United States)

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

  10. 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...

  11. 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...

  12. 76 FR 80966 - Solicitation for a Cooperative Agreement-Jail as Part of County Government: Review and Revision

    Science.gov (United States)

    2011-12-27

    ... National Institute of Corrections Solicitation for a Cooperative Agreement--Jail as Part of County...: Solicitation for a Cooperative Agreement. SUMMARY: The National Institute of Corrections (NIC) Jails Division is seeking applications for the revision of its Jail as Part of County Government training...

  13. Otero County E-911 Roads

    Data.gov (United States)

    Earth Data Analysis Center, University of New Mexico — This data represents Otero County roads. The data was collected with the use of GPS equipment during the time period of 7-01-98 thru 6-20-01. Data was verified for...

  14. 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.

  15. 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

  16. Sustainable Development in Maramures County

    OpenAIRE

    Corina Rădulescu; Rita Toader; Gratiela Boca; Madela Abrudan; Cristian Anghel; Diana Cezara Toader

    2015-01-01

    We argue that a new type of adaptive change management is needed in Romania, in which social and territorial cohesion are key elements of governance, in accordance with sustainable development requirements. Based on critical analysis and comparative study, the paper investigates, using several approaches, the possibility to select those elements that enable determining a viable managerial sustainable development “model” for communities in Maramures County, Romania. New trends worldwide, and t...

  17. The determinants of county growth.

    Science.gov (United States)

    Carlino, G A; Mills, E S

    1987-02-01

    The determinants of population and employment growth were explored from a broader interregional (as opposed to intraregional) perspective. Data for the 1970s, at the county level of disaggregation, were used to analyze the effects of economic, demographic, and climatic variables on population and employment growth in a simultaneous equation framework. The use of data from the more than 3000 US counties provides a considerably larger testing ground than those used in previous research. The point of departure was a conventional, general equilibrium model in which both households and producers are geographically mobile. The study's dependent variables refer to population, total, and manufacturing employment densities. Family income had a powerful effect in stimulating both population and employment density. A 10% increase in family income led to a 7.9% increase in total and a 9.2% increase in manufacturing employment densities. High family income must stand for high demand, and thus, firms are drawn to an area. High family income also drew households to an area. A 10% increase in family income led to a 5.5% increase in population density. High family income must represent "good" neighborhoods for households. High family income was positively correlated with population and employment density, but in other recent studies either a negative and significant relationship or an insignificant relationship were reported. Local taxes consist of the receipts of county government and those of municipalities, townships, school districts, and special districts within the county. The elasticities reported in Table 4 suggest that a 10% increase in such taxes resulted in about a 0.072% reduction in county population density during the decade. The Industrial Revenue Bonds (IRBs) and the percent of the labor force that is unionized are 2 potential policy instruments at the state level. The study results suggest that IRBs have not stimulated either manufacturing or total employment, and

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

    Science.gov (United States)

    2011-04-05

    .... Specific project design features would be implemented to minimize unintended, adverse effects to non-target... invasive plant treatments to adversely affect non-target plants, animals, human health, water quality, and... species. Non-target Plants: Herbicides, particularly when applied through broadcast spraying, may harm...

  19. 7 CFR 7.10 - Conduct of county convention.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Conduct of county convention. 7.10 Section 7.10... CONSERVATION STATE, COUNTY AND COMMUNITY COMMITTEES § 7.10 Conduct of county convention. (a) The county committee serving at the time shall be responsible for designating the place at which the county...

  20. Land resource information needs of county government : a case study in Larimer County, Colorado

    Science.gov (United States)

    Alexander, Robert H.

    1983-01-01

    My two colleagues on the study team, Rex Burns of the Larimer County Planning Department, and Glenn McCarty of the Fort Collins office of the Soil Conservation Service, contributed substantially to this report; many of their written words have found their way directly into the text. Jill O'Gara later replaced Rex Burns as the Larimer County coordinator in the study's final stages. John Rold, Colorado State Geologist, assisted in coordinating our efforts at the beginning of this study. Lou Campbell, State Cartographer, gave valuable advice and assistance throughout the effort. Wallace Hansen and James Blakey of the USGS Geologic and Water Resources Divisions, respectively, read the final manuscript and helped in many other ways. Joanna Trolinger served as research assistant and manuscript typist. Many others in the USGS, SCS, and other organizations helped in supplying information and advice. Tom Bates, then Chairman of the USGS Central Region Earth Science Applications Task Force, was the originator of the study, leader of the USGS participation effort, and guiding inspiration throughout. The study was carried out in association with the Program on Environment and Behavior, Institute of Behavioral Science, University of Colorado, Boulder.

  1. River Restoration Data in Lamoille County, Vermont

    Data.gov (United States)

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

  2. Houses of Worship - Volusia County Churches (Points)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Volusia County church locations were aggregated from several sources including Property Appraisal parcel data, Supervisor of Elections resources, Bell South Yellow...

  3. 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

  4. 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...

  5. 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.

  6. Problems and Outlet of County Economy Development in China

    OpenAIRE

    Du, Li

    2009-01-01

    The basic attributes and characteristics of county economy in China were introduced, and the problems of county economy development were analyzed. The concrete ideas of county economy development were put forward.

  7. 76 FR 4283 - Foreign-Trade Zone 153-San Diego, CA; Application for Manufacturing Authority; Abbott...

    Science.gov (United States)

    2011-01-25

    ...; Abbott Cardiovascular Systems, Inc. (Cardiovascular Device Manufacturing); Riverside County, CA An.... (Abbott), located in Riverside County, California. The application was submitted pursuant to the... sourced from abroad (representing 5% of the value of the finished product) include: resins, plastic...

  8. [A Profile of Kershaw County, South Carolina].

    Science.gov (United States)

    Lilley, Stephen C.; McLean, Edward L.

    Careful long-range planning and slow, deliberate growth have benefitted Kershaw County's 500,000 pleasantly varied acres near the state capitol. The county, famous for its equestrian activity, boasts prestige stables, riding clubs, and trails. In addition there are lakes and numerous parks. Leaders want to maintain this aesthetic appeal while…

  9. 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)

  10. 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.

  11. Environmental assessment: Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    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

  12. Fayette County Better Buildings Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Capella, Arthur

    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

  13. Address Points, Point locations for address sites, including residential, commercial, all units and suites, using Esri's Local Government Information Model schema., Published in 12/1/2014, Not Applicable scale, Gwinnett County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Address Points dataset, published at Not Applicable scale, was produced all or in part from Field Survey/GPS information as of 12/1/2014. It is described as...

  14. 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...

  15. Aerial Photography and Imagery, Oblique, This data set was acquired through a federal grant with Pictometry International. The imagery is either 4" or 9" resolution., Published in 2011, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Aerial Photography and Imagery, Oblique dataset, published at Not Applicable scale, was produced all or in part from Field Observation information as of 2011....

  16. Address Points, This data layer has been compiled by field GPS observation and by placing a dot in GIS programs on aerial photos & then verified in the field., Published in 2013, Not Applicable scale, Chippewa County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Address Points dataset, published at Not Applicable scale, was produced all or in part from Field Observation information as of 2013. It is described as 'This...

  17. 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...

  18. 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.

  19. Development of An Integrated Hydrologic Model in Yolo County, California

    Science.gov (United States)

    Liang, Y.; Taghavi, A.; Stevenson, M.; Najmus, S.

    2006-12-01

    To more efficiently use the Cache Creek flows and the groundwater basin as the sources of water supply and to restore the riparian ecosystem along the Cache Creek, Yolo County Flood Control and Water Conservation District (YCFCWCD) in Woodland, California plans to conduct the Cache Creek Groundwater Recharge and Recovery Program (CCGRRP). The concept of this program is to operate the groundwater basin to induce greater amounts of groundwater recharge from Cache Creek directly along the creek and to increase the recharge even further by diverting rainy season water at the District's Capay Diversion Dam into the West Adams Canal to a few recharge basins outside the active channel of Cache Creek. Besides the CCGRRP, cities of Woodland and Davis are in the process of conducting groundwater management plans, and the stakeholders in Yolo County developing a long-term integrated regional water management plan (IRWMP) for the entire county. To effectively evaluate the benefits and impacts of CCGRRP, local groundwater management plans, and the Yolo County IRWMP, the Integrated Groundwater and Surface water Model (IGSM) was applied to the Yolo groundwater basin. The IGSM is a comprehensive integrated hydrologic model that simulates both surface water and groundwater flow systems, including rainfall-runoff, soil moisture accounting and unsaturated flow, crop consumptive module, stream-aquifer interaction, and groundwater flow. The finite element code was originally developed in 1990 for the California Department of Water Resources and the State Water Resources Control Board. The IGSM code has subsequently been applied to more than 25 groundwater basins in California and other states. The model code has been peer reviewed and upgraded throughout its application to various projects, with the latest upgrade in 2004, as part of the application to the Stony Creek Fan area of Sacramento Valley. The Yolo County IGSM (YCIGSM) was calibrated against the historical (1970

  20. 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.

  1. 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....

  2. 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...

  3. 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...

  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. 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.

  6. 76 FR 65683 - Expansion of Foreign-Trade Zone 276; Kern County, CA

    Science.gov (United States)

    2011-10-24

    ... given in the Federal Register (76 FR 25300, 05/04/2011) and the application has been processed pursuant... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF COMMERCE Foreign-Trade Zones Board Expansion of Foreign-Trade Zone 276; Kern County, CA Pursuant to its...

  7. 76 FR 12131 - Notice of Realty Action: Opening of Public Land in Elko County, NV

    Science.gov (United States)

    2011-03-04

    ... private party in the 1952 deed. An Opening Order, dated November 6, 1958 (23 FR 8674) was issued on the re... located in Elko County, Nevada, to leasing under applicable geothermal leasing laws subject to valid... exchange completed under Section 8 of the Taylor Grazing Act, reserving to the grantor all ]...

  8. 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...

  9. 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...

  10. 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...

  11. 76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

    Science.gov (United States)

    2011-05-24

    ... AGENCY East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of... response costs concerning the East Calloway County Middle School Mercury Spill Site located in Murray... Site name East Calloway County ] Middle School Mercury Spill Site by one of the following methods:...

  12. 2015 Miami-Dade County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the 1798 las files (version 1.3) received by the NOAA Office for Coastal Management (OCM), provided by the Miami-Dade County...

  13. 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.

  14. 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....

  15. 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...

  16. Environmental assessment: Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    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. 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...

  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. Schools K-12 - Volusia County Schools (Points)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Volusia County School Locations NOTE: This file includes closed schools designated in the Name field with (Closed) after the school name and 0 in the Schoolcode...

  20. 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,...

  1. 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...

  2. 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...

  3. 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).

  4. 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,...

  5. 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,...

  6. 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,...

  7. 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,...

  8. 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,...

  9. 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,...

  10. 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,...

  11. 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,...

  12. 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,...

  13. 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,...

  14. 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,...

  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. 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...

  17. 2011 South Carolina DNR Lidar: Oconee 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...

  18. Hydrologic Data Sites for Carbon 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 Carbon County, Utah. The scope and purpose...

  19. Hydrologic Data Sites for Morgan 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 Morgan County, Utah. The scope and purpose...

  20. 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...

  1. 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...

  2. 2011 ARRA Lidar: Hidalgo County (TX)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This task order is for planning, acquisition, processing, and derivative products of LiDAR data to be collected for Hidalgo County, Texas. LiDAR data, and...

  3. Contours, Published in unknown, Sheboygan county.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Contours dataset as of unknown. Data by this publisher are often provided in Sheboygan County Coordinate Grid coordinate system; in a Mercator projection; The...

  4. 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...

  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. 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...

  7. 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...

  8. 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...

  9. 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...

  10. 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...

  11. 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)

  12. 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...

  13. 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...

  14. 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...

  15. 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,...

  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. 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,...

  18. 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...

  19. 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...

  20. 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...

  1. 2009 USGS New Jersey Lidar: Mercer County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — High accuracy LiDAR data covering Mercer County New Jersey (228 sq miles). These datasets will be the initial acquisition to support general geospatial needs of the...

  2. 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...

  3. 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...

  4. Environmental assessment, Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    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

  5. Rural migration in Nevada: Lincoln County

    International Nuclear Information System (INIS)

    The principal objective of this project was to develop insight into the scope of migration of working age Nevadans out of their county of birth; including the collection of data on their skill levels, desire to out or in-migrate, interactions between families of migratory persons, and the impact that the proposed high-level nuclear waste repository at Yucca mountain might have on their individual, and collective, decisions to migrate and return. The initial phase of this project reported here was conducted in 1992 and 1993 in Lincoln County, Nevada, one of the counties designated as ''affected'' by the proposed repository program. The findings suggest that a serious out-migration problem in Lincoln County, and that the Yucca mountain project will likely affect decisions relating to migration patterns in the future

  6. 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...

  7. Hydrologic Data Sites for Iron County, Utah

    Data.gov (United States)

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

  8. Tour of Moffat County allotments and recommendations

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This letter from the Utah Director of Western Watershed Project, Inc. to the BLM is regarding a visit to Moffat County, Colorado to review the conditions existing...

  9. 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...

  10. Ground water near Newton, Jasper County, Iowa

    Science.gov (United States)

    Buchmiller, Robert C.

    2001-01-01

    The U.S. Geological Survey, in cooperation with the city of Newton, Iowa, conducted an investigation of the ground-water resources of Jasper County, Iowa, near Newton during 1999-2001. The purpose of the investigation was to provide additional information on the South Skunk River alluvial aquifer from which Newton obtains its present municipal supply and to summarize the available information on other groundwater resources in the county.

  11. Rockbridge County unionism and the secession crisis

    OpenAIRE

    Leahy, Christopher J.

    1993-01-01

    Unionist sentiment was prevalent in Rockbridge County, Virginia for much of the secession crisis. This thesis traces the political development of Unionism in Rockbridge, examines the economic factors that influenced many county residents to maintain allegiance to the federal Union, and shows how this allegiance manifested itself. My study also reveals that Unionism in Rockbridge eroded gradually during the secession crisis. Many Unionists ultimately favored allying Virgin...

  12. The Water Cycle in Volusia County

    Science.gov (United States)

    German, Edward R.

    2009-01-01

    Earth's water is always in motion. The water cycle, also known as the hydrologic cycle, describes the continuous movement of water on, above, and below the Earth's surface. This fact sheet provides information about how much water moves into and out of Volusia County, and where it is stored. It also illustrates the seasonal variation in water quantity and movement using data from some of the hydrologic data collection sites in or near Volusia County, Florida.

  13. Effects of land-use changes and stormflow-detention basins on flooding and nonpoint-source pollution, in Irondequoit Creek basin, Monroe and Ontario counties, New York--application of a precipitation-runoff model

    Science.gov (United States)

    Coon, William F.; Johnson, Mark S.

    2005-01-01

    Urbanization of the 150-square-mile Irondequoit Creek basin in Monroe and Ontario Counties, N.Y., continues to spread southward and eastward from the City of Rochester, on the shore of Lake Ontario. Conversion of forested land to other uses over the past 40 years has increased to the extent that more than 50 percent of the basin is now developed. This expansion has increased flooding and impaired stream-water quality in the northern (downstream) half of the basin. A precipitation-runoff model of the Irondequoit Creek basin was developed with the model code HSPF (Hydrological Simulation Program--FORTRAN) to simulate the effects of land-use changes and stormflow-detention basins on flooding and nonpoint-source pollution on the basin. Model performance was evaluated through a combination of graphical comparisons and statistical tests, and indicated 'very good' agreement (mean error less than 10 percent) between observed and simulated daily and monthly streamflows, between observed and simulated monthly water temperatures, and between observed total suspended solids loads and simulated sediment loads. Agreement between monthly observed and simulated nutrient loads was 'very good' (mean error less than 15 percent) or 'good' (mean error between 15 and 25 percent). Results of model simulations indicated that peak flows and loads of sediment and total phosphorus would increase in a rural subbasin, where 10 percent of the basin was converted from forest and grassland to pervious and impervious developed areas. Subsequent simulation of a stormflow-detention basin at the mouth of this subbasin indicated that peak flows and constituent loads would decrease below those that were generated by the land-use-change scenario, and, in some cases, below those that were simulated by the original land-use scenario. Other results from model simulations of peak flows over a 30-year period (1970-2000), with and without simulation of 50-percent flow reductions at one existing and nine

  14. Nutrients of Topsoil for Sugarcane Planting in Xinping County of Yunnan Province

    OpenAIRE

    Ma, Jiabin; Tian, Wanghai; Long, Shunfa; Li, Huazhen; Su, Long; Yin, Zhitao; Gao, Yuanyuan

    2014-01-01

    To provide reference for fertilizer application of sugarcane planting in Xinping County, this paper analyzed nutrient content of topsoil according to the nutrient indicators established in the Second Soil Census. The results show that 51.76% soil in sugarcane planting area of Xinping County is faintly acid, 50.88% soil has relatively low organic matter, 45.88% soil lacks alkali-hydrolyzable nitrogen (N), 26.47% soil lacks phosphorus (P), 50.29% soil lacks potassium (K), 37.14% soil lacks sulf...

  15. 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.

  16. 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...

  17. 适合小农户的滴灌自动控制系统在裕民县的推广应用%Application of Drip Irrigation Automatic Control System Suitable for Small-scale Farming in Yumin County of Xinjiang

    Institute of Scientific and Technical Information of China (English)

    崔春亮; 阿不都沙拉木; 雷建花

    2011-01-01

    This paper presented the development of a drip-irrigation automatic control system for small-scale farming and its application in Yumin County, Xinjiang, China. A new drip-irrigation automatic control system for small-scale (12 hm2 to 30 hm2 ) farming was developed on the basis of key equipments, including sand separator, automatic self-cleaning screen filter, irrigation control system and solenoid valves that were already developed by Xinjiang Water Resources Research Institute. This system was applied in Jialekeziagashi village, Karabura District of Yumin County, Xinjiang and local farmers were able to use the irrigation control system efficiently with little guidance. The one-year application of the system in the field showed that the performance of the system was stable and reliable, easy to operate and dismantle, attained almost no-maintenance of the system for the first year. This system is not only suitable for maize drip irrigation system, but also applicable to orchard, cotton, vegetable, and wheat drip irrigation system.Under the condition of the scarcity of water resources and increasing price of labors, the automatic irrigation system is welcomed widely and getting extensive attentions from farmers. This is also a developing trend of small-scale fanning irrigation in Xinjiang and has great market potentials. This system will inevitably contribute to the extended applications of automatic control system in water saving irrigation of the small-scale farming in the region.%介绍了适合小农户的滴灌自动控制系统开发过程及在新疆裕民县的推广应用情况.本系统将我院研发的关键设备离心+自动清洗网式过滤器、灌溉自动控制系统和电磁阀在原有的基础上,新研制开发了适合小农户使用的滴灌自动控制系统,单个系统控制面积为12~50 hm左右.在新疆裕民县哈拉布拉乡加勒克孜阿尕什村针对小农户大田玉米滴灌进行设计、示范推广,实现了无需专业

  18. EMPIRICAL STUDY REGARDING PERCEPTIONS OF THE IFRS FOR SMEs IN ARAD COUNTY

    OpenAIRE

    Ioana Herbei Mot

    2014-01-01

    IFRS for SMEs is a change among of each entity, leading both to the positive and negative aspects regarding its application. Our study aims to present the perceptions of accounting experts on the application of IFRS for SMEs in Arad County. For the study was used the questionnaire based on resulted the pros and cons of applying standard responses to small and medium - sized entities, considering the law the main reason for applying standard. The Professional accountants believes that rules sh...

  19. [Agreement between the Cumberland County College Board of Trustees and the Cumberland County College Faculty Association.

    Science.gov (United States)

    Cumberland County Coll., Vineland, NJ.

    This document presents the agreement between the Cumberland County College Board of Trustees and the Cumberland County College Faculty Association. Articles of the agreement cover recognition; negotiation procedure; association rights and responsibilities; conditions of employment; faculty benefits; salaries; compensation for graduate work;…

  20. Coping with Resource Management Challenges in Mumias Sub-County, Kakamega County, Kenya

    Science.gov (United States)

    Anyango, Onginjo Rose; Orodho, John Aluko

    2016-01-01

    The gist of the study was to examine the main coping strategies used to manage resources in public secondary schools in Mumias Sub-County, Kakamega County, Kenya. The study was premised on Hunts (2007) theory on project management. A descriptive survey design was adopted. A combination of purposive and simple random sampling techniques were used…

  1. 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.

  2. Application of Electric Energy Acquisition System Technology in County Bureau Marketing System%浅谈电能量采集系统技术在县局营销系统的应用

    Institute of Scientific and Technical Information of China (English)

    吕同磊; 魏雯雯

    2012-01-01

    Jinzhou Power Supply Company implemented the electric energy acquisition system since 2007. For the past five years, the application effect is very obvious, effect is very significant. The paper analyzes the significance and role of the electric energy acquisition system in the marketing management system.%晋州市供电公司自2007年开始推行电能量采集系统,推行五年多来,应用效果十分明显,收效十分显着,现将电能量采集系统在营销管理系统中的意义和作用进行简要分析.

  3. BASEMAP, 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,...

  4. BASEMAP, ALPENA 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,...

  5. 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,...

  6. 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,...

  7. BASEMAP, LANCASTER COUNTY, NEBRASKA, 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. 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,...

  9. Basemap, Marshall County, IA, 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, Boone County, IA, 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. Basemap, Mahaska County, IA, 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, 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,...

  13. BASEMAP, FAYETTE 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,...

  14. 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...

  15. BASEMAP, CLARE 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,...

  16. 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,...

  17. BASEMAP, BARBOUR 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,...

  18. BASEMAP, PRINCE EDWARD 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, HEARD 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, DALLAS 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,...

  1. BASEMAP, MADISON 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,...

  2. BASEMAP, Ballard 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,...

  3. BASEMAP,MEADE 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,...

  4. BASEMAP, HAMILTON 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,...

  5. BASEMAP, ALLEGHENY COUNTY, PENNSYLVANIA, 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,...

  6. BASEMAP, Berks County, Pennsylvania, 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,...

  7. BASEMAP, WILKINSON 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,...

  8. BASEMAP, HALE 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,...

  9. BASEMAP, CLALLAM 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,...

  10. BASEMAP, CROOK COUNTY, OREGON, 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. 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,...

  12. BASEMAP, MACOMB 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,...

  13. BASEMAP, JEFFERSON 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,...

  14. BASEMAP, PIKE 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,...

  15. BASEMAP, SILVER BOW COUNTY, MONTANA

    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, BRACKEN 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,...

  17. BASEMAP, COLLIER 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,...

  18. BASEMAP, Carter 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,...

  19. BASEMAP, LIBERTY 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,...

  20. BASEMAP, WASHINGTON 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,...

  1. BASEMAP, LEVY 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,...

  2. BASEMAP, WINSTON 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,...

  3. 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...

  4. BASEMAP, JEFFERSON DAVIS 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,...

  5. BASEMAP, MONTGOMERY 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,...

  6. BASEMAP, MEIGS COUNTY, TENNESSEEE, 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,...

  7. BASEMAP, Washington COUNTY, NEBRASKA 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, WHATCOM COUNTY, WASHINGTON, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — This FEMA Framework Basemap dataset comprises the seven FGDC themes of geospatial data that are used by most GIS applications: cadastral, geodetic control,...

  9. BASEMAP, JACKSON 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, MARENGO 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,...

  11. 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,...

  12. BASEMAP, WILCOX 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,...

  13. 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,...

  14. BASEMAP, LOWNDES 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,...

  15. BASEMAP, Green 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,...

  16. BASEMAP, CASS COUNTY, NORTH DAKOTA

    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, 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,...

  18. BASEMAP, WASHINGTON 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,...

  19. BASEMAP, Todd 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,...

  20. BASEMAP, MUSCATINE 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,...

  1. BASEMAP, SHELBY 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,...

  2. BASEMAP, RANDOLPH 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,...

  3. BASEMAP, HENDERSON 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,...

  4. 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...

  5. Dutchess County Resource Recovery Task Force report: Dutchess County Pyrolysis Program

    Energy Technology Data Exchange (ETDEWEB)

    None

    1980-07-01

    Dutchess County initiated development of a long-range master plan for Solid Waste Management in 1971. The plan included development of a resource recovery facility to service the municipalities in the County population center. Based on early recommendations, a pyrolysis facility employing Purox technology was to be implemented. A feasibility study, paid for by County funds was completed in 1975. The study provided siting recommendations, estimation of available waste, and preliminary facility design. Because of various considerations, the project was not developed. Under the Department of Energy grant, the County reassessed the feasibility of a resource recovery facility, with emphasis on confirming previous conclusions supporting the Purox technology, waste availability, energy recovery and sale and siting of the plant. The conclusions reached in the new study were: a resource recovery facility is feasible for the County; sufficient waste for such a facility is available and subject to control; While Purox technology was feasible it is not the most appropriate available technoloy for the County; that mass burning with steam recovery is the most appropriate technology; and that resource recovery while presently more expensive than landfilling, represents the only cost effective, energy efficient, and environmentally sound way to handle the solid waste problem in the County.

  6. Flooded County Picks Up the Pieces

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Local residents in Xiahe County, Gansu Province, clear up debris left by floodwaters on August 20. People’s Daily Online reported that rains triggered mudrock flows that hit seven villages in three towns on August 19. About 3,000 rooms in the county’s houses are reported to have collapsed and more than 11,400 were flooded. Three people were killed and one was missing. A 30-meter section of highway linking Xiahe and other regions was blocked by falling rocks and mud. The report said the county government had mobilized staff for disaster-relief work.

  7. SOLAR PANELS ON HUDSON COUNTY FACILITIES

    Energy Technology Data Exchange (ETDEWEB)

    BARRY, KEVIN

    2014-06-06

    This project involved the installation of an 83 kW grid-connected photovoltaic system tied into the energy management system of Hudson County's new 60,000 square foot Emergency Operations and Command Center and staff offices. Other renewable energy features of the building include a 15 kW wind turbine, geothermal heating and cooling, natural daylighting, natural ventilation, gray water plumbing system and a green roof. The County intends to seek Silver LEED certification for the facility.

  8. Allegheny County Municipal Building Energy and Water Use

    Data.gov (United States)

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

  9. 2014 Mobile County, AL DMC 4-Band 8 Bit Imagery

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset was developed to support Mobile County. The project area is 1402 square miles of Mobile County land. The scope of work involved data acquisition and...

  10. Survey of Scania county (basement rock part). Geologic conditions

    International Nuclear Information System (INIS)

    A broad survey of the geologic conditions in Scania county is presented, with the aim to give background for the location of a repository for spent fuels. The study is restricted to the basement rock part of the county

  11. Survey of Jaemtland county (basement rock part). Geologic conditions

    International Nuclear Information System (INIS)

    A broad survey of the geologic conditions in Jaemtland county is presented, with the aim to give background for the location of a repository for spent fuels. The study is restricted to the basement rock part of the county

  12. Survey of Dalarna county (basement rock part). Geologic conditions

    International Nuclear Information System (INIS)

    A broad survey of the geologic conditions in Dalarna county is presented, with the aim to give background for the location of a repository for spent fuels. The study is restricted to the basement rock part of the county

  13. 2012 USGS-FEMA Lidar: Virginia Northern Counties (North)

    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...

  14. 2012 USGS-FEMA Lidar: Virginia Northern Counties (South)

    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...

  15. 2011 USGS-FEMA Lidar: King William County (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 Hooper's Island. The acquisition was performed by...

  16. The Application of the Hypeion Hyper-spectral Image to the Zhongteng Cu- Mo Deposit in Pinghe County of Fujian Province%Hyperion高光谱数据在福建钟腾铜钼矿区的应用研究

    Institute of Scientific and Technical Information of China (English)

    高建阳

    2011-01-01

    以福建平和钟腾铜钼矿区为例,简要介绍了Hyperion高光谱数据处理技术,探讨了基于特征谱带的光谱微分及基于完全波形特征的光谱匹配等遥感矿物识别方法,初步识别出该矿区的绢英岩,并为地质资料、野外踏勘以及岩矿鉴定所证实.旨在交流基于高光谱遥感数据的岩矿信息提取方法技术,对高植被覆盖区的遥感技术应用进行探索.%This paper takes the Zhongteng Cu-Mo deposit in Pinghe County of Fujian Province as an example and makes a brief introduction to Hyperion hyper - spectral data processing technology. The author adopted the differential spectrum technology based on feature bands and the spectrum matching techniques based on full wave features in remote sensing study to make mineral identification. Phyllic rock in the ore district was recognized preliminarily and confirmed by geological data, field reconnaissance as well as rock and mineral identification. The purpose of this paper is to exchange the techniques of rock and mineral information extraction based on high-spectral remote sensing data and to explore the application of the remote sensing technology to the high vegetation coverage area.

  17. Geology and ground water resources, Williams County, North Dakota

    Science.gov (United States)

    Freers, Theodore F.; Armstrong, C.A.

    1970-01-01

    Williams County, in northwestern North Dakota, is located near the center of the structural and sedimentary Williston basin. The preglacial sedimentary formations beneath the county are as much as 14,828 feet thick. Their beds dip generally to the south except along the flanks of the north-south striking Nesson anticline in the eastern part of the county. Late Wisconsinan glacial deposits cover all of Williams County except along the Missouri River and other scattered small areas.

  18. The Marketing Strategy Suggestions for Yishion in Jing County

    OpenAIRE

    Song, Haifeng

    2012-01-01

    Yishion in Jing County is a casual apparel franchise store with the fierce competition in clothing marketing in Jing County, a suitable marketing strategy plan for them is enssential. The objective of this thesis was to improve the marketing performance of Yishion in Jing County through given suggestions about building a strong brand and developing marketing strategy according to analysis of competition environment and real marketing situation of Yishion in Jing County. Both quantitative...

  19. Urban Health Care in Transition: Challenges Facing Los Angeles County

    OpenAIRE

    Sharon K. Long; Zuckerman, Stephen

    1998-01-01

    The authors examine the Medicaid Section 1115 Demonstration Project currently underway in Los Angeles County. The waiver was designed as part of a response to a financial crisis the Los Angeles County Department of Health Services (LACDHS) faced in 1995. It provides financial relief to give the county time to restructure its system for serving the medically indigent population. Los Angeles County's goal is to reduce its traditional emphasis on emergency room and hospital care by building an i...

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

    Data.gov (United States)

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

  1. Approximate western limit of glaciation within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County, South Dakota

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This coverage contains information about the western limit of glaciation within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County,...

  2. Tire Dumps, washoe county sheriff's office data, Published in 2006, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Tire Dumps dataset, was produced all or in part from Field Survey/GPS information as of 2006. It is described as 'washoe county sheriff's office data'. Data by...

  3. School Districts, washoe county school district, Published in 2006, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This School Districts dataset, was produced all or in part from Published Reports/Deeds information as of 2006. It is described as 'washoe county school district'....

  4. County and Parish Boundaries, Published in Not Provided, Bamberg County Emergency Services.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Road Centerline Files information as of Not Provided. Data by this publisher are often...

  5. Parcels and Land Ownership, CountyOwnedParcels0405, Published in 2005, Carbon County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset, was produced all or in part from Other information as of 2005. It is described as 'CountyOwnedParcels0405'. Data by this...

  6. County and Parish Boundaries, DaggCOBnd, Published in 2004, Daggett County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Other information as of 2004. It is described as 'DaggCOBnd'. Data by this publisher are...

  7. 2008 USGS South New Jersey County Project Lidar: Cape May 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...

  8. 2008 FEMA Lidar: South Oneida County (NY)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — For Oneida County, NY, there were two types of elevation datasets. The first type is LiDAR and the second one is Auto-correlation DEM. Auto-correlation DEM data was...

  9. Yellowstone County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

    The profile is a concise description of the demographic and economic characteristics, existing health manpower employed, and health education programs for the Yellowstone County area of Montana, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  10. Political professionalization of county councillors in Europe

    Czech Academy of Sciences Publication Activity Database

    Ryšavý, D.; Čermák, Daniel

    Oxon, New York: Routledge, 2016 - (Bertrana, X.; Egner, B.; Heinelt, H.), s. 247-273 ISBN 978-0-415-84348-5 R&D Projects: GA ČR GAP404/12/0714 Institutional support: RVO:68378025 Keywords : professionalization * county councillors * full-time politicians Subject RIV: AO - Sociology, Demography

  11. Is Middlesex County College Accomplishing Its Mission?

    Science.gov (United States)

    Balabkins, Xenia P.

    Over the past few years, New Jersey's Middlesex County College (MCC) has placed an inordinate amount of attention and effort on the issue of student transfer to four-year institutions. Although attention to traditional academic goals is important, MCC's stated mission also addresses other important segments of the college's market. The college has…

  12. Survey of Public Libraries Summit County, Ohio.

    Science.gov (United States)

    Blasingame, Ralph

    Library surveys are a means to an objective examination of the library and its services, helping to clarify the purposes that are being served and to assess the methods of providing these services. This survey was undertaken as a cooperative project of the seven public libraries of Summit County, Ohio. Its purpose was to develop a long-range plan…

  13. Lycoming County Women's History Curriculum Guide

    Science.gov (United States)

    Rogers, Amy

    2011-01-01

    This project plays upon technology and an innovative way to research history -- the use of online primary source data that highlight the history of women in volunteer and reform organizations, education, the arts, the workplace, and private lives. Using an archival database from the Lycoming County Women's History collection, this curriculum…

  14. Orange County Outdoor School: Cabin Leader's Manual.

    Science.gov (United States)

    Orange County Dept. of Education, Santa Ana, CA.

    Presented in five sections, the manual furnishes cabin leaders (high school students) with background information concerning philosophy, teaching, objectives, daily schedule, and cabin leader responsibilities in the Orange County Outdoor School program. The welcome section contains the history of the Outdoor School, staff responsibilities,…

  15. Problems Impacting Extension Program Quality at the County Level: Results from an Analysis of County Program Reviews Conducted in Florida

    Science.gov (United States)

    Harder, Amy; Moore, Austen; Mazurkewicz, Melissa; Benge, Matt

    2013-01-01

    Needs assessments are an important tool for informing organizational development efforts in Extension. The purpose of the study reported here was to identify problems faced by county units within UF/IFAS Extension during county program reviews. The findings were drawn from the reports created after five county units experienced program reviews in…

  16. Deaf Smith County air quality analysis: Letter report: Revision 2

    Energy Technology Data Exchange (ETDEWEB)

    1985-11-01

    Air quality impacts due to site characterization, and repository construction and operation activities were evaluated in the Deaf Smith County Site, Texas environmental assessment (EA). The analyses on which the impact assessments are based made with dispersion models recommended by the EPA for such applications, meteorological data from a nearby representative National Weather Service station at Amarillo, Texas, and available background air quality data from an urban monitoring location. Maximum offsite concentrations of total suspended particulates, nitrogen dioxide, sulfur dioxide, and carbon monoxide were estimated for periods of maximum emissions identified for each pollutant. Estimates of total annual salt deposition resulting from repository salt handling operations were also made. 36 refs., 5 figs., 17 tabs.

  17. Reflectance of vegetation, soil, and water. [in Hidalgo County, Texas

    Science.gov (United States)

    Wiegand, C. L. (Principal Investigator)

    1973-01-01

    The author has identified the following significant results. A study was conducted in a 340-acre (139 hectares) field of grain sorghum (Sorghum bicolor (L.) Moench) to determine if multispectral data from ERTS-1 could be used to detect differences in chlorophyll concentration between iron-deficient (chlorotic) and apparently normal (green) grain sorghum. Chlorotic sorghum areas 2.8 acres (1.1 hectares) or larger in size were identified on a computer printout of band 5 data which contains the chlorophyll absorption band at the 0.65 micron wavelength. ERTS resolution is sufficient for practical applications in detecting iron-deficient sorghum in otherwise uniform fields. The first classification map of the study county has been produced. Vegetation (crops), rangeland, bare soil, water, and an undefined (all other) category occupied 15.2, 45.0, 19.1, 0.02, and 20.6% of the land area, respectively.

  18. Deaf Smith County air quality analysis: Letter report: Revision 2

    International Nuclear Information System (INIS)

    Air quality impacts due to site characterization, and repository construction and operation activities were evaluated in the Deaf Smith County Site, Texas environmental assessment (EA). The analyses on which the impact assessments are based made with dispersion models recommended by the EPA for such applications, meteorological data from a nearby representative National Weather Service station at Amarillo, Texas, and available background air quality data from an urban monitoring location. Maximum offsite concentrations of total suspended particulates, nitrogen dioxide, sulfur dioxide, and carbon monoxide were estimated for periods of maximum emissions identified for each pollutant. Estimates of total annual salt deposition resulting from repository salt handling operations were also made. 36 refs., 5 figs., 17 tabs

  19. Nutrients of Topsoil for Sugarcane Planting in Xinping County of Yunnan Province

    Institute of Scientific and Technical Information of China (English)

    Jiabin; MA; Wanghai; TIAN; Shunfa; LONG; Huazhen; LI; Long; SU; Zhitao; YIN; Yuanyuan; GAO

    2014-01-01

    To provide reference for fertilizer application of sugarcane planting in Xinping County,this paper analyzed nutrient content of topsoil according to the nutrient indicators established in the Second Soil Census. The results show that 51. 76% soil in sugarcane planting area of Xinping County is faintly acid,50. 88% soil has relatively low organic matter,45. 88% soil lacks alkali-hydrolyzable nitrogen( N),26. 47% soil lacks phosphorus( P),50. 29% soil lacks potassium( K),37. 14% soil lacks sulfur( S),12. 86% soil lacks magnesium( Mg),10% soil lacks manganese( Mn),and 31. 43% soil lacks zinc( Zn). In the sugarcane production,it is required to pay attention to increase of application of organic fertilizer,to foster soil fertility,supplement boron fertilizer,to keep balance of soil nutrients.

  20. Nye County Nevada Perspectives on the State of the Yucca Mountain Project - 12388

    International Nuclear Information System (INIS)

    Responding to the Department of Energy decision to try to withdraw the Yucca Mountain license application and the Administration actions to close down the Yucca Mountain project, Nye County undertook a number of activities to articulate its support for continuing the Yucca Mountain project. The activities included responding to inquiries from federal agencies, including investigations undertaken by the Government Accountability Office addressing other potential uses for the Yucca Mountain site, responding to a Draft Environmental Impact Statement on the possible use of Yucca Mountain for disposal of Greater than Class C wastes, testifying in hearings, and interacting with the President's Blue Ribbon Commission on America's Nuclear Future. The paper summarizes Nye County's position on the Yucca Mountain repository, Nye County's perspectives on the various activities that were developed and considered by the Government Accountability Office, Nye County's concerns with the use of the Nevada National Security Site for Disposal of Greater than Class C Low-Level Radioactive Wastes, testimony of Nye County officials expressing local community support for the Yucca Mountain project, and Nye County's perspectives on recommendations provided by the Blue Ribbon Commission to move the nation's high-level radioactive waste disposal programs forward without consideration of the role Yucca Mountain could have served in those recommendations. Nye County believes that every effort should be made to, at a minimum, fund the Nuclear Regulatory Commission to complete the license application review. Then, if Congress does decide to change the Nuclear Waste Policy Act, there will be valuable information available to support new policy development. This administration contends that Congressional language associated with the FY2010 and FY2011 appropriations and authorization process is sufficient evidence of its intent to terminate the Yucca Mountain repository program. The appropriation