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Sample records for delran burlington county

  1. 2004 FEMA Lidar: Portions of Burlington and Camden Counties (NJ)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — In early October 2004, LIDAR was flown for Burlington and Camden Counties. The acquisition is being sponsored FEMA because of the July flood. It will be delivered to...

  2. Species Composition and Seasonal Distribution of Mosquito Larvae (Diptera: Culicidae) in Southern New Jersey, Burlington County.

    Science.gov (United States)

    Verna, Thomas N

    2015-09-01

    A total of 36,495 larvae consisting of 45 species from 11 genera were collected from 7,189 sites from southern New Jersey, Burlington County between the months of March and October, 2001-2014. Density and seasonal distribution were determined among natural and artificial habitat. The most dominant species collected from natural habitat was Aedes vexans (Meigen) followed by Ochlerotatus canadensis canadensis (Theobald), Culex restuans Theobald, Culex pipiens L., and Culex territans Walker. The most dominant species collected from artificial habitat was Aedes albopictus (Skuse) followed by Ochlerotatus japonicus japonicus (Theobald), Cx. restuans, Cx. pipiens, and Ochlerotatus triseriatus (Say). Cx. restuans and Cx. pipiens were the only species categorized as dominant among both natural and artificial habitat and comprised greater than half the total density. Sympatry was common among dominant species from artificial habitat where a significant percentage of the total collection contained multiple species. The most common types of natural habitats were forested depressions and stream flood plains whereas rimless vehicle tires and various plastic containers were the most common artificial habitats. The pitcher plant Sarracenia purpurea L. was the only habitat exclusive to one species. © The Authors 2015. Published by Oxford University Press on behalf of Entomological Society of America. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

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

    Science.gov (United States)

    Fiore, Alex R.

    2016-09-02

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

  4. Burlington Industries: Modernize or Perish

    Science.gov (United States)

    Honeycutt, Earl D., Jr.

    2013-01-01

    In the 1960s, Burlington Industries was the largest textile firm in the world, and in 1973 the U. S. textile industry employed more than 1 million workers. Dynamic change came to the textile industry beginning in the 1960s, and in 2001 Burlington Industries filed for Chapter 11 bankruptcy. This case traces the dynamics of the market and the…

  5. Burlington Industries: Modernize or Perish

    Science.gov (United States)

    Honeycutt, Earl D., Jr.

    2013-01-01

    In the 1960s, Burlington Industries was the largest textile firm in the world, and in 1973 the U. S. textile industry employed more than 1 million workers. Dynamic change came to the textile industry beginning in the 1960s, and in 2001 Burlington Industries filed for Chapter 11 bankruptcy. This case traces the dynamics of the market and the…

  6. Floodplain Mapping for Burlington County New Jersey

    Data.gov (United States)

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

  7. 77 FR 64331 - City of Burlington, IA; FFP Iowa 5, LLC; Notice of Competing Preliminary Permit Applications...

    Science.gov (United States)

    2012-10-19

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF ENERGY Federal Energy Regulatory Commission City of Burlington, IA; FFP Iowa 5, LLC; Notice of Competing Preliminary... County, Iowa and Henderson County, Illinois. On the same date, FFP Iowa 5, LLC filed an...

  8. 40 CFR 81.98 - Burlington-Keokuk Interstate Air Quality Control Region.

    Science.gov (United States)

    2010-07-01

    ... Quality Control Region. 81.98 Section 81.98 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Air Quality Control Regions § 81.98 Burlington-Keokuk Interstate Air Quality Control Region. The Burlington-Keokuk Interstate Air Quality Control Region (Illinois-Iowa) is revised to consist of...

  9. 75 FR 76279 - Drawbridge Operation Regulation; Upper Mississippi River, Burlington, IA

    Science.gov (United States)

    2010-12-08

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF HOMELAND SECURITY Coast Guard 33 CFR Part 117 Drawbridge Operation Regulation; Upper Mississippi River, Burlington, IA AGENCY: Coast Guard, DHS. ACTION: Notice of temporary deviation from regulations. SUMMARY:...

  10. Simulated ground-water flow and water quality of the Mississippi River alluvium near Burlington, Iowa, 1999

    Science.gov (United States)

    Boyd, Robert A.

    2001-01-01

    The City of Burlington, Iowa, obtains some of its public water supply by withdrawing ground water from the Mississippi River alluvium, an alluvial aquifer adjacent to the Mississippi River. The U.S. Geological Survey, in cooperation with the City of Burlington, conducted a hydrologic study of the Mississippi River alluvium near Burlington in 1999 to improve understanding of the flow system, evaluate the effects of hypothetical pumping scenarios on the flow system, and evaluate selected water-quality constituents in parts of the alluvium.

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

    Energy Technology Data Exchange (ETDEWEB)

    1994-12-01

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

  12. Habitat Evaluation Procedures (HEP) Report; Burlington Bottoms, Technical Report 1993-2003.

    Energy Technology Data Exchange (ETDEWEB)

    Beilke, Susan

    1993-08-01

    Burlington Bottoms, consisting of approximately 417 acres of riparian and wetland habitat, was purchased by the Bonneville Power Administration in November 1991. The site is located approximately 1/2 mile north of the Sauvie Island Bridge (T2N R1W Sections 20, 21), and is bound on the east side by Multnomah Channel and on the west side by the Burlington Northern Railroad right-of-way and U.S. Highway 30 (Figures 1 and 2). Wildlife habitat values resulting from the purchase of this site will contribute toward the goal of mitigating for habitat lost as outlined in the Columbia and Willamette River Basin's Fish and Wildlife Program and Amendments. Under this Program, mitigation goals were developed as a result of the loss of wildlife habitat due to the development and operation of Federal hydro-electric facilities in the Columbia and Willamette River Basins. In 1993, an interdisciplinary team was formed to develop and implement quantitative Habitat Evaluation Procedures (HEP) to document the value of various habitats at Burlington Bottoms. Results of the HEP will be used to: (1) determine the current status and habitat enhancement potential of the site consistent with wildlife mitigation goals and objectives; and (2) develop a management plan for the area. HEP participants included; Charlie Craig, BPA; Pat Wright, Larry Rasmussen, and Ron Garst, U. S. Fish and Wildlife Service; John Christy, The Nature Conservancy; and Doug Cottam, Sue Beilke, and Brad Rawls, Oregon Department of Fish and Wildlife.

  13. Installation Restoration Program. Phase II Stage I Study McGuire Air Force Base, Burlington County, New Jersey.

    Science.gov (United States)

    1984-10-01

    soil. The extinguishing agents used during that period included CO2, protein foam and water. Aerial photographs available for the site from 1952 and...11 ,B. p.6. unless interference with individual Society for Testing and Materials, 15 Burke, J.A., "Gas Cromatography peaks persist after cleanup. Add

  14. An Archaeological Survey: Shoreline of Lake Darling and Proposed Burlington Dam. Flood Control Project Area, Upper Souris River, North Dakota

    Science.gov (United States)

    1978-01-01

    Burlington (1948), Carpio, N.E. (1949), Grano (1949), Grano , S.W. (1949), Greene (1949), Tolley (1948), Mouse River Park (1949), Mouse River ParkN.E. (1949...miles southeast of Grano , OZ North Dakota. The site is adjacent to Lake Darling’s east bank and also near the eastern boundary of the Upper Souris...miles south of Grano , North .7. 6 i 4 76 .9 . . -a s . 9 , . . aG =. . _ . ,, . . . ., . . 9. 9 . , , , " Dakota. The site lies on a flat 800 meters

  15. 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...

  16. Burlington Bottoms Wildlife Mitigation Site : Five-Year Habitat Management Plan, 2001-2005, 2000-2001 Progress Report.

    Energy Technology Data Exchange (ETDEWEB)

    Beilke, Susan G.

    2001-09-01

    Historically the lower Columbia and Willamette River Basins were ecologically rich in both the habitat types and the species diversity they supported. This was due in part to the pattern of floods and periodic inundation of bottomlands that occurred, which was an important factor in creating and maintaining a complex system of wetland, meadow, and riparian habitats. This landscape has been greatly altered in the past 150 years, primarily due to human development and agricultural activities including cattle grazing, logging and the building of hydroelectric facilities for hydropower, navigation, flood control and irrigation in the Columbia and Willamette River Basins. The Burlington Bottoms (BB) wetlands contains some of the last remaining bottomlands in the area, supporting a diverse array of native plant and wildlife species. Located approximately twelve miles northwest of Portland and situated between the Tualatin Mountains to the west and Multnomah Channel and Sauvie Island to the east, the current habitats are remnant of what was once common throughout the region. In order to preserve and enhance this important site, a five-year habitat management plan has been written that proposes a set of actions that will carry out the goals and objectives developed for the site, which includes protecting, maintaining and enhancing wildlife habitat for perpetuity.

  17. Environmental Impact Statement. Flood Control, Burlington Dam, Souris River, North Dakota. Biological Assessment and Section 404(b) Evaluation.

    Science.gov (United States)

    1979-12-01

    Grano Crossing, and Renville County Road 9 to a level 5 feet above pre-project grades. The Soo Line Railroad crossing would be raised to 6 feet above...yards. Road raises of State Highway 28, Grano Crossing (FAS 3828), and Renville County Road 9 (FAS 3809) have been grouped together for discussion...north-south roads that cross the Souris River Valley 3 miles north of State Highway 5 and 1 mile north of the Soo Line crossing, respectively. Grano

  18. Existing Fish and Wildlife Resources Related to the Southern New Jersey Water Resources Study, Burlington, Camden and Gloucester Counties, New Jersey. Phase I Report.

    Science.gov (United States)

    1978-05-01

    York. 1632 pp. 194. APPENDIX TABLE A-I Trees Reported to Occ~ur Within the Study Area Common Name Scientific Name Ash, black Fraxinus nigra Marsh. Ash...Birch, river Betula nigra L. Box-elder Acer neguico L. Butternut Juglans cinerea L. Cedar, Atlan~tic white- Chamaecvparis thvoides (L.,) B.S.P...L. Maple, Norway Acer platanoides L. Maple, silver Acer saccharinum L. Maple, sugar Acer saccharum Marsh. Mulberry, red Morus rubra L. Mulberry, white

  19. Flood magnitude and frequency of Jacks Run at the culvert on U.S. Route 206, Southampton Township, Burlington County, New Jersey

    Science.gov (United States)

    Barringer, Thomas

    1996-01-01

    Flood magnitude and frequency of Jacks Run at the culvert on U.S. Route 206, Southampton Township, New Jersey, were determined by using the rational method. Flood magnitude and frequency estimates, as well as basin characteristics, are included in this report. The 100-year-flood estimate is 29 cubic feet per second.

  20. 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...

  1. Allegheny County Air Quality

    Data.gov (United States)

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

  2. Allegheny County Council Districts

    Data.gov (United States)

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

  3. Allegheny County Municipal Boundaries

    Data.gov (United States)

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

  4. 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...

  5. Allegheny County Council Districts

    Data.gov (United States)

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

  6. Allegheny County Municipal Boundaries

    Data.gov (United States)

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

  7. Effects of urban best management practices on streamflow and phosphorus and suspended-sediment transport on Englesby Brook in Burlington, Vermont, 2000-2010

    Science.gov (United States)

    Medalie, Laura

    2012-01-01

    An assessment of the effectiveness of several urban best management practice structures, including a wet extended detention facility and a shallow marsh wetland (together the "wet extended detention ponds"), was made using data collected from 2000 through 2010 at Englesby Brook in Burlington, Vermont. The purpose of the best management practices was to reduce high streamflows and phosphorus and suspended-sediment loads and concentrations and to increase low streamflows. Englesby Brook was monitored for streamflow, phosphorus, and suspended-sediment concentrations at a streamgage downstream of the best management practice structures for 5 years before the wet extended detention ponds were constructed in 2005 and for 4 years (phosphorus and suspended-sediment concentrations) or 5 years (streamflow) after they were constructed. The period after construction of the best management practice structures was wetter and had higher discharges than the period before construction. Despite the wetter conditions, streamflow duration curves provided evidence that the streamflow regime appeared to have shifted so that the percentages of low streamflows have increased and those of high streamflows may have slightly decreased. Two other hydrologic measures showed improvements in the years following construction of the best management practices: the percentage of annual discharge transported during the 3 days with highest discharges and the number of days with zero streamflow have both decreased. Evidence was mixed for the effectiveness of the best management practices in reducing phosphorus and suspended-sediment concentrations and loads. Annual phosphorus and suspended-sediment loads, monthly loads, low-streamflow concentrations, storm-averaged streamflow-adjusted concentrations, and total storm loads either did not change significantly or increased in the period after construction. These results likely were because of the wetter conditions in the period after construction. For

  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 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...

  10. Allegheny County Property Assessments

    Data.gov (United States)

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

  11. 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...

  12. Allegheny County Parks Outlines

    Data.gov (United States)

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

  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 Road,...

  14. Allegheny County Depression Medication

    Data.gov (United States)

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

  15. Allegheny County Diabetes Hospitalization

    Data.gov (United States)

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

  16. Allegheny County Plumbers

    Data.gov (United States)

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

  17. 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...

  18. Westmoreland County Crash Data

    Data.gov (United States)

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

  19. 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,...

  20. County Population Vulnerability

    Data.gov (United States)

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

  1. Beaver County Crash Data

    Data.gov (United States)

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

  2. Washington County Crash Data

    Data.gov (United States)

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

  3. Allegheny County Street Centerlines

    Data.gov (United States)

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

  4. Allegheny County Obesity Rates

    Data.gov (United States)

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

  5. 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,...

  6. Allegheny County Boundary

    Data.gov (United States)

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

  7. Allegheny County Smoking Rates

    Data.gov (United States)

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

  8. Allegheny County Hospitals

    Data.gov (United States)

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

  9. 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...

  10. Allegheny County Homicides

    Data.gov (United States)

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

  11. Allegheny County Parcel Boundaries

    Data.gov (United States)

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

  12. Allegheny County Property Viewer

    Data.gov (United States)

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

  13. Allegheny County Tobacco Vendors

    Data.gov (United States)

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

  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. Allegheny County Anxiety Medication

    Data.gov (United States)

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

  16. Butler County Crash Data

    Data.gov (United States)

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

  17. Allegheny County Hypertension Hospitalization

    Data.gov (United States)

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

  18. Allegheny County Traffic Counts

    Data.gov (United States)

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

  19. VT Boundaries - county polygons

    Data.gov (United States)

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

  20. Allegheny County Blazed Trails Locations

    Data.gov (United States)

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

  1. Allegheny County Zip Code Boundaries

    Data.gov (United States)

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

  2. Allegheny County Blazed Trails Locations

    Data.gov (United States)

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

  3. 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...

  4. Sheridan County Recreation Plan.

    Science.gov (United States)

    Webster, Elaine

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

  5. 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...

  6. Allegheny County Watershed Boundaries

    Data.gov (United States)

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

  7. LANDSLIDES IN SUCEAVA COUNTY

    Directory of Open Access Journals (Sweden)

    Dan Zarojanu

    2017-07-01

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

  8. Hancock County Awards Gala

    Science.gov (United States)

    2008-01-01

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

  9. 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.

  10. Allegheny County Hydrology Areas

    Data.gov (United States)

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

  11. Allegheny County Sheriff Sales

    Data.gov (United States)

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

  12. Allegheny County Cemetery Outlines

    Data.gov (United States)

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

  13. Durham County Demographic Profile

    Data.gov (United States)

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

  14. 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,...

  15. 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...

  16. 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...

  17. 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,...

  18. 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,...

  19. 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.

  20. Snohomish County Biodiesel Project

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Terrill; Carveth, Deanna

    2010-02-01

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

  1. 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...

  2. 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...

  3. Allegheny County Land Use Areas

    Data.gov (United States)

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

  4. Allegheny County 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...

  5. Allegheny County Mortgage Foreclosure Records

    Data.gov (United States)

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

  6. Allegheny County School District Boundaries

    Data.gov (United States)

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

  7. 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...

  8. Allegheny County Commercial Vehicle Inspections

    Data.gov (United States)

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

  9. 2015 Lowndes County (GA) Lidar

    Data.gov (United States)

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

  10. 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...

  11. Allegheny County Property Sale Transactions

    Data.gov (United States)

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

  12. 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...

  13. Allegheny County Public Building Locations

    Data.gov (United States)

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

  14. Curry County E-911 Roads

    Data.gov (United States)

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

  15. Allegheny County Employee Salaries 2016

    Data.gov (United States)

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

  16. TERRAIN, KENT COUNTY, RHODE ISLAND

    Data.gov (United States)

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

  17. 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...

  18. Allegheny County Fast Food Establishments

    Data.gov (United States)

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

  19. Allegheny County School District Boundaries

    Data.gov (United States)

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

  20. Allegheny County Poor Housing Conditions

    Data.gov (United States)

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

  1. Grant County E-911 Roads

    Data.gov (United States)

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

  2. Allegheny County Addressing Street Centerlines

    Data.gov (United States)

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

  3. Allegheny County Summer Food Sites

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This data set shows the Summer Food Sites located within Allegheny County for children (18 years and younger) for breakfast and lunch during summer recess. OPEN...

  4. Allegheny County Jail Daily Census

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — A daily census of the inmates at the Allegheny County Jail (ACJ). Includes gender, race, age at booking, and current age. The records for each month contain a...

  5. Allegheny County Park Rangers Outreach

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Launched in June 2015, the Allegheny County Park Rangers program reached over 48,000 people in its first year. Park Rangers interact with residents of all ages and...

  6. 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...

  7. Minnesota County Boundaries - lines

    Data.gov (United States)

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

  8. Counties Without a Physician.

    Science.gov (United States)

    Getz, Virginia

    1982-01-01

    Uses a budgeting technique to determine if free-market incentives or forces would provide an economic base sufficient to support medical professionals who might practice in the approximately 140 U.S. counties that lack a physician (located mainly in a narrow band from west Texas north through South Dakota). (AH)

  9. Castleward, County Down

    OpenAIRE

    Fisher, Jonathan

    2008-01-01

    Fisher was a painter and engraver in Ireland, working after the Dutch and Italian landscape painting tradition. He is best known by engravings after his designs, of which a large number were produced during his career.[notes from Irish Paintings in the `National Gallery of Ireland?, 2001]The house depicted in the present painting is Castle Ward, located in County Down, Northern Ireland. The 18th century house is famed for its mixture of Classical and Gothic styles.

  10. Somerset County Renewable Energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

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

    2014-05-07

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

  11. Alba County - Rural Tourism Destination?

    Directory of Open Access Journals (Sweden)

    Claudia Olimpia Moisa

    2016-12-01

    Full Text Available The purpose of this paper is to identify the main rural touristic resources available in Alba County and also the preferred tourist destinations, highlighting the role and the importance of the rural tourism and agro-tourism in the economy of Alba County and, not least, identifying the main direction for its development and promotion. In other words, the aim of this paper is to answer the question "Is it or not Alba County a rural tourist destination?"

  12. Allegheny County Beltway System Street Centerlines

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Authoritative dataset of the beltway system in Allegheny County. The system was developed to help motorists navigate through Allegheny County on low-traffic roads....

  13. 2015 Resident Survey (City and County)

    Data.gov (United States)

    City and County of Durham, North Carolina — The purpose of the annual City/County survey: To objectively assess citizen satisfaction with the delivery of City/County servicesTo set a baseline for future...

  14. 2016 Resident Survey (City and County)

    Data.gov (United States)

    City and County of Durham, North Carolina — The purpose of the annual City/County survey: To objectively assess citizen satisfaction with the delivery of City/County servicesTo set a baseline for future...

  15. The Bridges of Taishun County

    Institute of Scientific and Technical Information of China (English)

    MaJianhe

    2003-01-01

    The American film The Bridges of Madison County captured the imagination of many Chinese moviegoers with its bittersweet love story and scenes of rustic covered bridges. But the U.S. can't lay sole claim to such spectacular rural sights:China has its own county worldrenowned for unforgettable bridges.

  16. 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...

  17. County and Parish Boundaries, Published in 2003, Cerro Gordo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Hardcopy Maps information as of 2003. Data by this publisher are often provided in State...

  18. 2008 USGS South New Jersey County Project Lidar: Cumberland County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South New Jersey County Lidar Project is to provide LiDAR data for the New Jersey Department of Environmental Protection (NJ-DEP) for Cape May, Cumberland, and...

  19. 2006 Volusia County, Florida Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset is the lidar data for Volusia County, Florida, approximately 1,432 square miles, acquired in early March of 2006. A total of 143 flight lines of Lidar...

  20. Allegheny County Toxics Release Inventory

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Toxics Release Inventory (TRI) data provides information about toxic substances released into the environment or managed through recycling, energy recovery, and...

  1. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on...

  2. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description...

  3. Allegheny County Wooded Area Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset demarcates stands of trees (coniferous and deciduous) too numerous to plot as individual trees. The area is delineated following a generalized line...

  4. Sierra County E-911 Roads

    Data.gov (United States)

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

  5. Allegheny County WIC Vendor Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains the locations of Women, Infants, and Children (WIC) program vendors. If viewing this description on the Western Pennsylvania Regional Data...

  6. County Boundaries with Shorelines (National)

    Data.gov (United States)

    Department of Transportation — County boundaries with shorelines cut in (NTAD). The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and...

  7. Allegheny County Building Footprint Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet...

  8. 2014 Mobile County, AL Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Atlantic was contracted to acquire high resolution topographic LiDAR (Light Detection and Ranging) data located in Mobile County, Alabama. The intent was to collect...

  9. Allegheny County Land Cover Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Land Cover dataset demarcates 14 land cover types by area; such as Residential, Commercial, Industrial, Forest, Agriculture, etc. If viewing this description on...

  10. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Soils: 1:24000 SSURGO Map. Polygon boundaries of Soils in Volusia County, downloaded from SJRWMD and created by NRCS and SJRWMD. This data set is a digital version...

  11. 2009 SCDNR Charleston County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Photoscience completed the original collection and classification of the multiple return LiDAR of Charleston County, South Carolina in the winter of 2006-2007. In...

  12. Allegheny County Soil Type Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm;...

  13. Allegheny County Environmental Justice Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Environmental Justice areas in this guide have been defined by the Pennsylvania Department of Environmental Protection. The Department defines an environmental...

  14. 2009 SCDNR Horry County Lidar

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sanborn Map Company completed the original classification of the multiple return LiDAR of Horry County, South Carolina in 2009. In 2013, Dewberry was tasked with...

  15. ORTHOIMAGERY, ERIE COUNTY, OHIO USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The 2006 OSIP digital orthophotography was collected during the months of March and April (leaf-off conditions). The MrSID Images covering each county at 1-foot...

  16. 2009 SCDRN Lidar: Florence County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The South Carolina Department of Natural Resources (SCDNR) contracted with Sanborn to provide LiDAR mapping services for Florence County, SC. Utilizing multi-return...

  17. Allegheny County Soil Type Areas

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains soil type and soil classification, by area. Additional info at: http://mcdc.cas.psu.edu/datawiz.htm;...

  18. Allegheny County Certified MWDBE Businesses

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — According to the Federal Department of Transportation, Disadvantaged Business Enterprises (DBE) are for-profit small business concerns where socially and...

  19. Allegheny County Map Index Grid

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Map Index Sheets from Block and Lot Grid of Property Assessment and based on aerial photography, showing 1983 datum with solid line and NAD 27 with 5 second grid...

  20. Allegheny County Building Footprint Locations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains photogrammetrically compiled roof outlines of buildings. All near orthogonal corners are square. Buildings that are less than 400 square feet...

  1. 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...

  2. 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...

  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. 2009 Chatham County Georgia Lidar

    Data.gov (United States)

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

  5. Uninsured Young Adults by County

    Data.gov (United States)

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

  6. 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...

  7. 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...

  8. ORTHOIMAGERY, CLAY COUNTY, WV, USA

    Data.gov (United States)

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

  9. 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...

  10. 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...

  11. 2004 Harrison County, MS Lidar

    Data.gov (United States)

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

  12. 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...

  13. Best Manufacturing Practices. Report of Survey Conducted at Stafford County Public Schools, Stafford County, VA

    National Research Council Canada - National Science Library

    1994-01-01

    During the week of August 8, 1994, a Best Manufacturing Practices (BMP) survey was conducted at the Stafford County Public Schools located in Stafford County, Virginia, considered one of the fastest growing counties in the state...

  14. Somerset County Flood Information System

    Science.gov (United States)

    Hoppe, Heidi L.

    2007-01-01

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

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

    Data.gov (United States)

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

  16. 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.

  17. 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.

  18. 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...

  19. 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.

  20. Allegheny County Particulate Matter 2.5

    Data.gov (United States)

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

  1. 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...

  2. Allegheny County Voting District (2015) Web Map

    Data.gov (United States)

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

  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. 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...

  5. 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.

  6. 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...

  7. 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...

  8. Allegheny County Pennsylvania Senate District Boundaries

    Data.gov (United States)

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

  9. Allegheny County Weights and Measures Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Inspections conducted by the Allegheny County Bureau of Weights and Measures. The Bureau inspects weighing and timing devices such as gas pumps, laundromat timers,...

  10. Allegheny County Voting District Boundaries (2015)

    Data.gov (United States)

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

  11. 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...

  12. 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...

  13. 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...

  14. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

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

  15. 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...

  16. 2010 ARRA Lidar: Hampton County (SC)

    Data.gov (United States)

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

  17. Allegheny County Median Age at Death

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The median age at death is calculated for each municipality in Allegheny County. Data is based on the decedent's residence at the time of death, not the location...

  18. Allegheny County Farmers Markets Locations (2017)

    Data.gov (United States)

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

  19. Allegheny County Voting District (2015) Web Map

    Data.gov (United States)

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

  20. Allegheny County Polling Place Locations (November 2015)

    Data.gov (United States)

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

  1. 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,...

  2. Allegheny County Polling Place Locations (November 2016)

    Data.gov (United States)

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

  3. Allegheny County Polling Place Locations (May 2017)

    Data.gov (United States)

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

  4. Allegheny County Voting District (2016) Web Map

    Data.gov (United States)

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

  5. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

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

  6. Allegheny County Polling Place Locations (November 2016)

    Data.gov (United States)

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

  7. 77 FR 72968 - Revisions to the California State Implementation Plan, for Imperial County, Placer County and...

    Science.gov (United States)

    2012-12-07

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

  8. 76 FR 12280 - Revisions to the California State Implementation Plan, for Imperial County, Kern County, and...

    Science.gov (United States)

    2011-03-07

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

  9. 76 FR 13172 - Placer County Water Agency

    Science.gov (United States)

    2011-03-10

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

  10. The surficial aquifer in Pinellas County, Florida

    Science.gov (United States)

    Causseaux, K.W.

    1985-01-01

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

  11. Trouble Brewing in Orange County. Policy Brief

    Science.gov (United States)

    Buck, Stuart

    2010-01-01

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

  12. Clinton County Child Care Needs Assessment

    OpenAIRE

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

    1998-01-01

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

  13. Somerset County Employer Needs Assessment.

    Science.gov (United States)

    Rephann, Terance J.

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

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

    Science.gov (United States)

    Dalton, Phyllis I.

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

  15. Hydrogeology of Webb County, Texas

    Science.gov (United States)

    Lambert, Rebecca B.

    2004-01-01

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

  16. Water resources of Langlade County, Wisconsin

    Science.gov (United States)

    Batten, W. G.

    1987-01-01

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

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

    Science.gov (United States)

    Ludlow, Russell A.; Loper, Connie A.

    2004-01-01

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

  18. Yolo County controlled landfill project

    Energy Technology Data Exchange (ETDEWEB)

    Augenstein, D. [IEM, Palo Alto, CA (United States); Yazdani, R.; Dahl, K.; Mansoub, A.; Moore, R. [Yolo County Department of Public Works, Davis, CA (United States); Pacey, J. [Emcon, San Mateo, CA (United States)

    1999-07-01

    A new landfill management approach controlled landfilling is being demonstrated by the Yolo County, California Department of Public Works at the Yolo County Central Landfill (YCCL) near Davis. Overall objectives are to obtain earlier and greater methane energy recovery from landfilled waste and to reduce landfill greenhouse gas emissions to near-negligible levels. Methane generation and waste stabilization were accelerated by improving biological conditions within a test cell through carefully controlled additions of water and leachate. A control cell was operated in parallel. Landfill gas capture was maximized, with emissions reduced to minimal levels, by a combination of surface membrane containment, a permeable layer conducting gas to collection points, and operation at slight vacuum. Cells are highly instrumented to determine performance. To date, normalized methane recovery is the highest seen from such a large waste mass, anywhere - about ten times that from conventional landfall practice. The rationale and details of this project, and first three years' results, are summarized. (author)

  19. Brookside Mills, Knox County, TN

    Science.gov (United States)

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

  20. 7 CFR 7.25 - County executive director duties.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false County executive director duties. 7.25 Section 7.25... CONSERVATION STATE, COUNTY AND COMMUNITY COMMITTEES § 7.25 County executive director duties. (a) The county executive director shall execute the policies established by the county committee and be responsible for...

  1. VT County Forest Data 1966-1997

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This datalayer contains Vermont forestry estimate data, by county, primarily obtained from the Vermont Forest Inventory and Analysis (FIA),...

  2. VT River Restoration Data in Lamoille County

    Data.gov (United States)

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

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

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Volusia County church locations were aggregated from several sources including Property Appraisal parcel data, Supervisor of Elections resources, Bell South Yellow...

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

    Science.gov (United States)

    2010-05-07

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

  6. 75 FR 31463 - Comal County Regional Habitat Conservation Plan, Comal County, TX

    Science.gov (United States)

    2010-06-03

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

  7. 33 CFR 100.905 - Door County Triathlon; Door County, WI.

    Science.gov (United States)

    2010-07-01

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

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

    Science.gov (United States)

    Nord, M

    1998-05-01

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

  9. 76 FR 44302 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2011-07-25

    ... Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, c/ o Sierra National Forest, High... FURTHER INFORMATION CONTACT: Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, (559...

  10. 76 FR 28415 - Fresno County Resource Advisory Committee

    Science.gov (United States)

    2011-05-17

    ... Robbin Ekman, Fresno County Resource Advisory Committee Coordinator, c/ o Sierra National Forest, High... FURTHER INFORMATION CONTACT: Robbin Ekman, Fresno County Resource ] Advisory Committee Coordinator, (559...

  11. Geothermal development issues: Recommendations to Deschutes County

    Energy Technology Data Exchange (ETDEWEB)

    Gebhard, C.

    1982-07-01

    This report discusses processes and issues related to geothermal development. It is intended to inform planners and interested individuals in Deschutes County about geothermal energy, and advise County officials as to steps that can be taken in anticipation of resource development. (ACR)

  12. Educational and Demographic Profile: Madera County

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

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

  13. Educational and Demographic Profile: Napa County.

    Science.gov (United States)

    California Postsecondary Education Commission, 2004

    2004-01-01

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

  14. Cheyenne-Laramie County Economic Development Strategy

    Science.gov (United States)

    1986-06-01

    Chamber of Commerce John Etchepare Warren Livestock Co. Shirley Francis Laramie County Commissioner Nancy Gire Economic Development Planner, Cheyenne...Eagle Reeves & Company Investments Jeff Ketcham John Rogers Laramie County Commissioner Rogers, Wolf & Blythe Mike Lane Dean Run Lane & Associates...Dorn, Director of Planning Mountain Bell Memorial Hospital Fred Baggs, General Manager Joe Dougherty Fleiscli Oil Yellowstone Neighborhood

  15. 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)

  16. Environmental assessment: Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

    In February 1983, the US Department of Energy (DOE) identified a location in Deaf Smith County, Texas, as one of 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.

  17. Fayette County Better Buildings Initiative

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-03-04

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

  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. 75 FR 79334 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-12-20

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

  20. 7 CFR 1230.634 - FSA county office report.

    Science.gov (United States)

    2010-01-01

    ... CONSUMER INFORMATION Procedures for the Conduct of Referendum Referendum § 1230.634 FSA county office report. The FSA county office will notify the FSA State office of the results of the referendum. Each FSA county office will transmit the results of the referendum in its county to the FSA State office. Such...

  1. 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...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  5. 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....

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

    Data.gov (United States)

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

  7. Influence of Peer Pressure on Secondary School Students Drop out in Rongo Sub-County, Migori County, Kenya

    Science.gov (United States)

    Omollo, Atieno Evaline; Yambo, Onyango J. M.

    2017-01-01

    The purpose of this study was to establish the influence of peer pressure on secondary school students' drop out in Rongo Sub-County, Migori County, Kenya. The statement of the problem showed that the sub-county had a dropout rate of 43 percent as compared to the neighboring sub counties like Uriri, Awendo, Nyatike, Kuria and Migori which had 25,…

  8. Bioassessment of Hollis Creek, Oktibbeha County, Mississippi

    Data.gov (United States)

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

  9. DCS Hydrology Submission for Lincoln County, Oregon

    Data.gov (United States)

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

  10. 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,...

  11. 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,...

  12. 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,...

  13. 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,...

  14. 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,...

  15. Hydrologic Data Sites for Garfield County, Utah

    Data.gov (United States)

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

  16. 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...

  17. 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...

  18. 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,...

  19. 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,...

  20. 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,...

  1. 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...

  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. De Baca County E-911 Roads

    Data.gov (United States)

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

  4. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

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

  5. 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...

  6. 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...

  7. 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...

  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. 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...

  10. 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...

  11. 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...

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

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — 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...

  13. Zoning Districts - Volusia County HUB Zones

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Historically Underutilized Business (HUB) Zones in Volusia County. Go to http://www.sba.gov/hubzone or contact the Department of Economic Development (386) 248-8048...

  14. 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...

  15. Basemap Framework Submission for Story County IA

    Data.gov (United States)

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

  16. Basemap Framework Submission for Floyd County IA

    Data.gov (United States)

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

  17. 2012 South Carolina DNR Lidar: Calhoun County

    Data.gov (United States)

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

  18. 2012 South Carolina DNR Lidar: Abbeville County

    Data.gov (United States)

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

  19. 2012 South Carolina DNR Lidar: Aiken County

    Data.gov (United States)

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

  20. 2012 South Carolina DNR Lidar: Edgefield County

    Data.gov (United States)

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

  1. 2012 South Carolina DNR Lidar: Barnwell County

    Data.gov (United States)

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

  2. 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).

  3. 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,...

  4. 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,...

  5. 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,...

  6. 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,...

  7. 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,...

  8. 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,...

  9. 2000 Cayuga County New York Lidar

    Data.gov (United States)

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

  10. Bouquets Best the Brickbats at Tarrant County.

    Science.gov (United States)

    Lace, William W.

    1984-01-01

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

  11. Port Authority of Allegheny County Transit Routes

    Data.gov (United States)

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

  12. Hydrologic Data Sites for Millard County, Utah

    Data.gov (United States)

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

  13. 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...

  14. Jefferson County Bio-energy Initiative

    Energy Technology Data Exchange (ETDEWEB)

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

    2006-06-01

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

  15. 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...

  16. Hydrologic Data Sites for Saltlake County, Utah

    Data.gov (United States)

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

  17. 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...

  18. 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.

  19. 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...

  20. Hydrologic Data Sites for Daggett County, Utah

    Data.gov (United States)

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

  1. 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...

  2. Hydrologic Data Sites for Sanpete County, Utah

    Data.gov (United States)

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

  3. 2010 FEMA Lidar: Ozaukee County (WI)

    Data.gov (United States)

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

  4. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

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

  5. 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...

  6. Allegheny County Kane Regional Center Census

    Data.gov (United States)

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

  7. 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.

  8. 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....

  9. 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...

  10. 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...

  11. Conservation Reserve Program Acreage by County

    Data.gov (United States)

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

  12. Allegheny County Municipal Land Use Ordinances

    Data.gov (United States)

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

  13. 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...

  14. 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,...

  15. 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,...

  16. 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)

  17. 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...

  18. 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...

  19. VT New Market Tax Credit - Qualifying Counties

    Data.gov (United States)

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

  20. 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...

  1. Hydrogeology of Cibola County, New Mexico

    Science.gov (United States)

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

    1995-01-01

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  4. 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...

  5. 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.

  6. The Bridge of Mandolin County

    Science.gov (United States)

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

    1999-12-01

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

  7. Oficinas centrales para Burlington Corporate - Greensboro (EE. UU.

    Directory of Open Access Journals (Sweden)

    Odell, Associates Inc. Arquitectos

    1972-05-01

    Full Text Available Built with the fundamental idea of putting into effect the character and requirements of the privately-owned company, while at the same time satisfying its commercial necessities, these central offices present us with an expressive example of the combination of two important building materials, glass and steel. The criteria adopted as guide-lines allowed significant advantages to be obtained in those aspects which are most influential when deciding the kind of building to be erected —all by means of well-studied coordination.Realizadas con la idea fundamental de materializar el carácter y exigencias de la empresa propietaria, a la vez que satisfacer sus necesidades de índole comercial, nos ofrecen estas oficinas centrales un expresivo ejemplo de combinación de dos importantes materiales constructivos: vidrio y acero. Los criterios adoptados como directrices permitieron conseguir unas significativas ventajas en aquellos aspectos más Influyentes a la hora de decidir el tipo de construcción. Todo ello mediante una coordinación muy estudiada.

  8. 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.

  9. How Are Kentucky's Children Stacking Up? A County by County Analysis.

    Science.gov (United States)

    Chandler, Betsy

    In a county by county analysis, this report assesses the quality of life for Kentucky's children. Researchers developed a child quotient (CQ) based on 18 indicators: per capita income, children in poverty, women receiving inadequate prenatal care, infant deaths, teens giving birth, substandard dwellings, children in foster care, per-pupil…

  10. 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.

  11. INTEGRATED WASTE MANAGEMENT SYSTEM IN HARGHITA COUNTY

    Directory of Open Access Journals (Sweden)

    Mihai-Constantin AVORNICULUI

    2015-11-01

    Full Text Available Waste management problems in Harghita County (and other places in the country have a major negative impact on society and pose a direct threat to human health, and an adverse effect on quality of life. Considering the current practices, it is clear that the system of waste management in Romania and Harghita county needs to be improved to meet the requirements of new national and European regulations. In Harghita County there are 36 protected areas of national interest, four protected areas of local interest and 18 Natura 2000 sites, including 13 Sites of Community Importance (SCI and 5 Special Protection Areas (SPA. Strengthening a sustainable waste management system involves major changes to current practices. Implementing such changes can be successfully achieved only through the involvement of the whole society: population– as users, entrepreneurs, socio-economic institutions and public authorities.

  12. 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...

  13. Port Authority of Allegheny County Park and Rides

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset includes the GIS shapefile for Port Authority of Allegheny County's Park and Ride facilities. This layer is updated annually or on an as-needed basis...

  14. Articulation is Alive and Working in Somerset County, New Jersey

    Science.gov (United States)

    Teryek, Charles; Kahrmann, Robert G., Jr.

    1976-01-01

    Somerset County Technical Institute and Somerset County College jointly operate and administer a two-year associate program for an applied science degree which was designed primarily to avoid program duplication and competition for funds and students. (Author/BP)

  15. Allegheny County Restaurant/Food Facility Inspection Violations

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Facilities located within Allegheny County that produce, distribute and sell food products are subject to mandatory, routine inspection by one of the health...

  16. Allegheny County Voting District Boundaries (Spring 2015 - Spring 2016)

    Data.gov (United States)

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

  17. 76 FR 67403 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-11-01

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting cancellation. SUMMARY: The Madera County Resource Advisory Committee was scheduled to meet...

  18. Allegheny County Pennsylvania U.S. Legislative Congressional District Boundaries

    Data.gov (United States)

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

  19. Allegheny County Pennsylvania House of Representatives District Boundaries

    Data.gov (United States)

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

  20. 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,...

  1. 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...

  2. 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),...

  3. Non-Public Schools in Durham County by Type

    Data.gov (United States)

    City and County of Durham, North Carolina — A list and the locations along with contact phone numbers of private schools within Durham County. The School Type field is either "religious" or independant....

  4. 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...

  5. Allegheny County Tax Liens (Filings, Satisfactions, and Current Status)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset represents information about county, municipal, school district, and water/sewer tax liens by parcel (and property identification number, where...

  6. 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...

  7. Allegheny County Voting District Boundaries (Spring 2017 - present)

    Data.gov (United States)

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

  8. Uncertified Presidential Election Results Allegheny County General Election

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains uncertified data we compiled since the 2004 general election containing vote totals for presidential candidates by Allegheny County Election...

  9. 75 FR 52804 - Environmental Impact Statement: Stanislaus County, CA

    Science.gov (United States)

    2010-08-27

    ... Federal Highway Administration Environmental Impact Statement: Stanislaus County, CA AGENCY: Federal... Environmental Impact Statement (EIS) will be prepared for a proposed highway project in Stanislaus County... subsequent environmental documentation for project-specific impacts. Letters describing the proposed action...

  10. Allegheny County Voting District Boundaries (Fall 2016 - present)

    Data.gov (United States)

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

  11. 76 FR 50423 - Changes in Flood Elevation Determinations

    Science.gov (United States)

    2011-08-15

    ... May 31, 2011; June The Honorable October 5, 2011 040073 of Pima County, (11- 7, 2011; The Daily Ram n... 370002 (10-04-4375P). 2011; The Times- Wall, Mayor, City of News. Burlington, P.O. Box 1358,...

  12. 78 FR 5556 - Public Hearing

    Science.gov (United States)

    2013-01-25

    ... Sponsor and Facility: Talisman Energy USA Inc. (Sugar Creek), West Burlington Township, Bradford County.... 20090327). 18. Project Sponsor and Facility: Talisman Energy USA Inc. (Towanda Creek--Franklin Township...

  13. 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.

  14. 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.

  15. Elementary Experiences,Problems and Countermeasures of County Forestry Economy

    Institute of Scientific and Technical Information of China (English)

    Shaozhi; CHEN; Baomin; FAN; Rong; ZHAO; Youjun; HE; Decheng; ZHANG

    2013-01-01

    County forestry economy is a strong power for regional green economic development,and an important way to improve farmers’ income and promote living environment in urban and rural areas. According to the investigation of ten typical counties or cities with forestry industrial advantage,this paper sums up the elementary experiences of county forestry economy,analyzes its prominent problems. Countermeasures are brought forward to improve the development of county forestry economy.

  16. 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....

  17. 62 FR 28104 - Union Pacific Railroad CompanyAbandonment Exemptionin Malheur County, OR and Owyhee County, ID...

    Science.gov (United States)

    1997-05-22

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

  18. 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,...

  19. Buried valleys 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 buried valleys within the Standing Rock Indian Reservation, Sioux County, North Dakota, and Corson County, South...

  20. 7 CFR 714.43 - Recommendation by county committee.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Recommendation by county committee. 714.43 Section 714... PENALTIES ERRONEOUSLY, ILLEGALLY, OR WRONGFULLY COLLECTED § 714.43 Recommendation by county committee.... After the recommendation of approval or disapproval is made by the county committee, the claim shall...

  1. 75 FR 31759 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-06-04

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... 93643. Send written comments to Julie Roberts, Madera County Resource Advisory Committee Coordinator, c...

  2. 76 FR 6116 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-02-03

    ...] [FR Doc No: 2011-2429] DEPARTMENT OF AGRICULTURE Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource... Madera County Title II funds. DATES: The meetings will be held on February 16th, February 23, 2011 and...

  3. 75 FR 50987 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2010-08-18

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... to States Madera County Title II funds. DATES: The meetings will be held on August 18th, 2010 from 6...

  4. 76 FR 19970 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-04-11

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... the remainder of the year. The Madera County Resource Advisory Committee met in North Fork, California...

  5. 76 FR 66033 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-10-25

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... of Payments to States Madera County Title II funds. DATES: The meeting will be held on November 15...

  6. 76 FR 29722 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-05-23

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California... of 2000 (Pub. L. 110-343) for expenditure of Payments to States Madera County Title II funds. DATES...

  7. 76 FR 12316 - Madera County Resource Advisory Committee

    Science.gov (United States)

    2011-03-07

    ... Forest Service Madera County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Madera County Resource Advisory Committee will be meeting in North Fork, California...-Determination Act of 2000 (Pub. L. 110-343) for expenditure of Payments to States Madera County Title II funds...

  8. 75 FR 4417 - Wind Cave National Park, Custer County, SD

    Science.gov (United States)

    2010-01-27

    ... Wind Cave National Park, Custer County, SD AGENCY: National Park Service. ACTION: Notice of... Statement, Wind Cave National Park, Custer County, South Dakota. SUMMARY: Pursuant to Section 102(2)(C) of... Environmental Impact Statement (Plan), Wind Cave National Park, Custer County, South Dakota. On December 3,...

  9. 75 FR 54297 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2010-09-07

    ... Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead-Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday September... INFORMATION CONTACT: Patty Bates, Tri County Resource Advisory Committee Coordinator, Beaverhead-Deerlodge...

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

    Directory of Open Access Journals (Sweden)

    GALANTE, A. C.

    2008-06-01

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

  11. County-level environmental quality and associations with individual - and county-level preterm birth

    Science.gov (United States)

    Human health is influenced by simultaneous exposure to stressors and amenities, but research usually considers single exposures. We constructed a county-level Environmental Quality Index (EQI) using principal components analysis with data from five domains (air, water, land, buil...

  12. County and Parish Boundaries, Created when parcel dataset was developed, Published in 2000, Eureka County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset as of 2000. It is described as 'Created when parcel dataset was developed'. Data by this publisher are often provided in...

  13. 2008 USGS South New Jersey County Project Lidar: Portion of Salem 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...

  14. Zip Codes, Buffalo_county_zip_codes, Published in 2006, Buffalo County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zip Codes dataset, was produced all or in part from Road Centerline Files information as of 2006. It is described as 'Buffalo_county_zip_codes'. Data by this...

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

    Data.gov (United States)

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

  16. 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...

  17. 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...

  18. 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'....

  19. 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...

  20. Community Living in Three Wisconsin Counties.

    Science.gov (United States)

    Taylor, Steven J.

    The site visit report describes community living programs for persons with severe disabilities in the Wisconsin counties of Dane, LaCrosse, and Columbia. The visit attempted to identify and document promising practices through interviews with administrators, officials and staff; observations of three foster homes, two small group homes, and two…

  1. VISION SCREENING IN FOUR COUNTIES OF IOWA.

    Science.gov (United States)

    KINDWALL, AUDREY

    FOUR VISION SCREENING METHODS WERE STUDIED DURING THE 1966-67 SCHOOL YEAR IN FOUR SELECTED SCHOOLS WITHIN A FOUR COUNTY AREA IN IOWA. SCREENING METHODS STUDIED WERE (1) SNELLEN CHART FOR DISTANCE VISION, (2) SNELLEN CHART FOR DISTANCE PLUS THE READING CARD-SNELLEN RATING FOR NEAR-POINT TESTING, (3) KEYSTONE VISUAL SURVEY TESTS, AND (4) T/O SCHOOL…

  2. Timber resources of Douglas County, Oregon.

    Science.gov (United States)

    Colin D. MacLean

    1976-01-01

    This report summarizes a 1973 timber resource inventory of Douglas County, Oregon. Detailed tables of forest area, timber volume, growth, mortality, and cut are presented. A discussion of the present resource situation highlights the condition of cutover lands and the opportunities for silvicultural treatment.

  3. Foreign Languages at Tarrant County Junior College.

    Science.gov (United States)

    Harper, Jane

    Even during the 1970's when diminished national interest in foreign language study was reflected in declining enrollments at most colleges, Tarrant County Junior College (TCJC) was able to maintain a vigorous language program by emphasizing oral communication and developing a flexible curriculum. Since 1975, the college has offered its preparatory…

  4. 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…

  5. Allegheny County Clean Indoor Air Act Exemptions

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — List and location of all the businesses and social clubs who have received an exemption from the Pennsylvania Clean Indoor Air Act. “The Clean Indoor Air Act, Act...

  6. Hamilton County: A Rural School District Profile.

    Science.gov (United States)

    Harned, Catherine

    Using state education agency, census, industry employment and occupational information data, this paper provides a detailed picture of a rural school district in Southern Illinois. Mining and agriculture are the major industries in Hamilton County. The major mining employer closed in February 1988, and the drought of 1988 is likely to adversely…

  7. Public Schools. Cuyahoga County Data Brief

    Science.gov (United States)

    Center on Urban Poverty and Community Development (NJ1), 2010

    2010-01-01

    Public school enrollment has fallen in most districts in Cuyahoga County, consistent with the overall population loss. The largest decreases of more than 30% have been in Cleveland and East Cleveland districts. Several inner ring suburbs have also experienced large declines, while a few outlying suburbs show increased enrollments. High school…

  8. Wind Energy Guide for County Commissioners

    Energy Technology Data Exchange (ETDEWEB)

    Costanti, M.

    2006-10-01

    One of the key stakeholders associated with economic development are local government officials, who are often required to evaluate and vote on commercial wind energy project permits, as well as to determine and articulate what wind energy benefits accrue to their counties. Often these local officials lack experience with large-scale wind energy and need to make important decisions concerning what may be a complicated and controversial issue. These decisions can be confounded with diverse perspectives from various stakeholders. This project is designed to provide county commissioners, planners, and other local county government officials with a practical overview of information required to successfully implement commercial wind energy projects in their county. The guidebook provides readers with information on the following 13 topics: Brief Wind Energy Overview; Environmental Benefits; Wind Energy Myths and Facts; Economic Development Benefits; Wind Economics; The Development Process; Public Outreach; Siting Issues; Property Tax Incentives; Power System Impacts; Permitting, Zoning, and Siting Processes; Case Studies; and Further Information. For each of the above topics, the guidebook provides an introduction that identifies the topic, why local government should care, a topic snapshot, how the topic will arise, and a list of resources that define and assess the topic.

  9. Forest statistics for North Mississippi counties - 1994

    Science.gov (United States)

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

    1993-01-01

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

  10. Forest statistics for Southwest Mississippi counties - 1994

    Science.gov (United States)

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

    1995-01-01

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

  11. Sheridan 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 Sheridan County area of Wyoming, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  12. Clark 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 Clark County area of Nevada, one of seven surveyed in the Mountain States region (Idaho, Montana, Wyoming, and Nevada). The first section of the profile provides general population…

  13. Missoula 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 Missoula 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…

  14. 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…

  15. 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...

  16. 76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

    Science.gov (United States)

    2011-05-24

    ... From the Federal Register Online via the Government Publishing Office ENVIRONMENTAL PROTECTION 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...

  17. Northeast Florida Regional Sediment Management: Implementation Strategies and Recommendations for Nassau County and Duval County, Florida

    Science.gov (United States)

    2016-03-01

    overall lifecycle costs. Purpose of the study This USACE Engineer Research and Development Center (ERDC), Coastal and Hydraulics Laboratory (CHL...lines. Sediment needs in the study area include the authorized Nassau County and Duval County SPPs, as well as a local beach nourishment project...south, and therefore would be where sediment enters the study area. The sediment budget will be used to help understand coastal processes in the

  18. Orange County Photovoltaic Project & Educational COmponent

    Energy Technology Data Exchange (ETDEWEB)

    Parker, Renee [Orange County Government, FL (United States)

    2016-02-12

    The purpose of this report is to discuss the projects implemented, utilizing Department of Energy grant funds, to support the use and understanding of renewable energy in Orange County, Florida and the Greater Orlando Area. Orange County is located in the State of Florida and is most popularly referred to as Orlando. The greater Orlando area’s current population is 1,225,267 and in 2015 was the first destination to surpass 60 million visitors. Orange County utilized grant funds to add to the growing demand for access to charging stations by installing one level 2 dual NovaCharge CT4021 electric vehicle charging station at the Orange County/University of Florida Cooperative Extension Center. The charging station is considered a “smart” charger connected to a central network operated by a third party. Data collected includes the number of charging sessions, session start and end times, the electricity usage, greenhouse gases saved and other pertinent data used for reporting purposes. Orange County continues to support the use of electric vehicles in Metro Orlando and this project continues to bring awareness to our public regarding using alternative vehicles. Additionally, we offer all visitors to the Orange County/University of Florida Cooperative Extension Center free charges for their electric vehicles 24 hours a day. Since the operation of the charging station there have been 52 unique driver users, a total of 532.2258 kg of greenhouse gas savings and 159.03 gallons of gasoline savings. The installation of the additional electric vehicle charging station is part of a county-wide goal of promoting implementation of renewable energy technologies as well as supporting the use of electric vehicles including the Drive Electric Orlando & Florida programs. http://driveelectricorlando.com/ & ; http://www.driveelectricflorida.org/ . Grant funds were also used for Outreach and Educational efforts. Educational efforts about renewable energy were accomplished through

  19. Demographic Data - Census_County_TIGER00_IN: Indiana Counties Census Data 2000 (Derived from U.S. Census Bureau, 1:24,000 Polygon Shapefile)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Census_County_TIGER00_IN contains locations for all Indiana counties and contains census data for each county. Data is from U.S. Department of Commerce, U.S. Census...

  20. Energy Efficient Buildings, Salt Lake County, Utah

    Energy Technology Data Exchange (ETDEWEB)

    Barnett, Kimberly

    2012-04-30

    Executive Summary Salt Lake County's Solar Photovoltaic Project - an unprecedented public/private partnership Salt Lake County is pleased to announce the completion of its unprecedented solar photovoltaic (PV) installation on the Calvin R. Rampton Salt Palace Convention Center. This 1.65 MW installation will be one the largest solar roof top installations in the country and will more than double the current installed solar capacity in the state of Utah. Construction is complete and the system will be operational in May 2012. The County has accomplished this project using a Power Purchase Agreement (PPA) financing model. In a PPA model a third-party solar developer will finance, develop, own, operate, and maintain the solar array. Salt Lake County will lease its roof, and purchase the power from this third-party under a long-term Power Purchase Agreement contract. In fact, this will be one of the first projects in the state of Utah to take advantage of the recent (March 2010) legislation which makes PPA models possible for projects of this type. In addition to utilizing a PPA, this solar project will employ public and private capital, Energy Efficiency and Conservation Block Grants (EECBG), and public/private subsidized bonds that are able to work together efficiently because of the recent stimulus bill. The project also makes use of recent changes to federal tax rules, and the recent re-awakening of private capital markets that make a significant public-private partnership possible. This is an extremely innovative project, and will mark the first time that all of these incentives (EECBG grants, Qualified Energy Conservation Bonds, New Markets tax credits, investment tax credits, public and private funds) have been packaged into one project. All of Salt Lake County's research documents and studies, agreements, and technical information is available to the public. In addition, the County has already shared a variety of information with the public through

  1. 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.

  2. Water resources of Indiana County, Pennsylvania

    Science.gov (United States)

    Williams, D.R.; McElroy, T.A.

    1997-01-01

    Indiana County, west-central Pennsylvania, is a major producer of coal and natural gas. Water managers and residents are concerned about the effects of mining and natural gas exploration on the surface- and ground-water resources of the county. This study assesses the quality and quantity of water in Indiana County. Ground- and surface-water sources are used for public supplies that serve 61 percent of the total population of the county. The remaining 39 percent of the population live in rural areas and rely on cisterns and wells and springs that tap shallow aquifers. Most of the county is underlain by rocks of Middle to Upper Pennsylvanian age. From oldest to youngest, they are the Allegheny Group, the Glenshaw Formation, the Casselman Formation, and the Monongahela Group. Almost all the coals mined are in the Allegheny Group and the Monongahela Group. Ground water in Indiana County flows through fractures in the rock. The size and extent of the fractures, which are controlled by lithology, topography, and structure, determine the sustained yield of wells. Topography has a significant control over the yields of wells sited in the Allegheny Group. Properly sited wells in the Glenshaw Formation may have yields adequate for municipal, commercial, or industrial uses. The Casselman Formation yields adequate amounts of water for domestic use. Yield of the Monongahela Group is small, and the water may not be of suitable quality for most uses. Yields of hilltop wells may be marginal, but valley wells may yield sufficient amounts for large-volume users. Data on the other rock units are sparse to nonexistent. Few wells in the county yield more than 40 gallons per minute. Most of the wells that do are in valleys where alluvial deposits are extensive enough to be mapable. Short-term water-level fluctuations are variable from well to well. Seasonal water-level fluctuations are controlled by time of year and amount of precipitation. The quality of water from the Casselman

  3. A MULTIVARIATE ANALYSIS OF CROATIAN COUNTIES ENTREPRENEURSHIP

    Directory of Open Access Journals (Sweden)

    Elza Jurun

    2012-12-01

    Full Text Available In the focus of this paper is a multivariate analysis of Croatian Counties entrepreneurship. Complete data base available by official statistic institutions at national and regional level is used. Modern econometric methodology starting from a comparative analysis via multiple regression to multivariate cluster analysis is carried out as well as the analysis of successful or inefficacious entrepreneurship measured by indicators of efficiency, profitability and productivity. Time horizons of the comparative analysis are in 2004 and 2010. Accelerators of socio-economic development - number of entrepreneur investors, investment in fixed assets and current assets ratio in multiple regression model are analytically filtered between twenty-six independent variables as variables of the dominant influence on GDP per capita in 2010 as dependent variable. Results of multivariate cluster analysis of twentyone Croatian Counties are interpreted also in the sense of three Croatian NUTS 2 regions according to European nomenclature of regional territorial division of Croatia.

  4. Bexar County Parking Garage Photovoltaic Panels

    Energy Technology Data Exchange (ETDEWEB)

    Weir, Golda

    2012-01-23

    The main objective of the Bexar County Parking Garage Photovoltaic (PV) Panel project is to install a PV System that will promote the use of renewable energy. This project will also help sustain Bexar County ongoing greenhouse gas emissions reduction and energy efficiency goals. The scope of this project includes the installation of a 100-kW system on the top level of a new 236,285 square feet parking garage. The PV system consists of 420 solar panels that covers 7,200 square feet and is tied into the electric-grid. It provides electricity to the office area located within the garage. The estimated annual electricity production of the PV system is 147,000 kWh per year.

  5. County digital geologic mapping. Final report

    Energy Technology Data Exchange (ETDEWEB)

    Hess, R.H.; Johnson, G.L.; dePolo, C.M.

    1995-12-31

    The purpose of this project is to create quality-county wide digital 1:250,000-scale geologic maps from existing published 1:250,000-scale Geologic and Mineral Resource Bulletins published by the Nevada Bureau of Mines and Geology (NBMG). An additional data set, based on current NBMG research, Major and Significant Quaternary and Suspected Quaternary Faults of Nevada, at 1:250,000 scale has also been included.

  6. Columbia County Habitat for Humanity Passive Townhomes

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2016-03-01

    Columbia County Habitat for Humanity (CCHH) (New York, Climate Zone 5A) built a pair of townhomes to Passive House Institute U.S. (PHIUS+ 2015) criteria to explore approaches for achieving Passive House performance (specifically with respect to exterior wall, space-conditioning, and ventilation strategies) within the labor and budget context inherent in a Habitat for Humanity project. CCHH’s goal is to eventually develop a cost-justified Passive House prototype design for future projects.

  7. Rogaland County Council and Universal Design.

    Science.gov (United States)

    Ask, Linda Nilsen

    2016-01-01

    Rogaland Council has adopted Universal Design as an overriding principle for all planning and development in the county. Private stakeholders and public agencies collaborated in the development of a successful County Plan for Universal Design that has been recognised as an example of good practice by Norway's public authorities. The plan provides guidelines for both state and municipal planning and operations in several policy areas from public transport to educational and cultural buildings to sports and recreation areas. One of the main contributions of the plan is an evaluation methodology built on the "TEK-10" national standard, and developed with the participation of authorities, experts, staff from municipalities and representatives of organisations for people with disabilities. This method is used to assess the accessibility and compliance with Universal Design principles of different destinations. This information is then published in the dedicated website www.tilgjengelighet.no which serves as an information channel for the general public about accessibility to various locations in the county. A community engagement method has been developed for including user groups in the design process for both new buildings and renovation projects. Representatives for user groups are chosen by the Council's Disability Committee, and these help to inform the planning and construction process. The plan also emphasises the development of knowledge and skills in Universal Design through educational programmes for secondary schools and colleges as well as training opportunities for councillors. This paper summarises the plan's rationale and the progress made until now.

  8. 76 FR 39357 - Revisions to the California State Implementation Plan, Imperial County Air Pollution Control...

    Science.gov (United States)

    2011-07-06

    ... Pollution Control District, Kern County Air Pollution Control District, and Ventura County Air Pollution... proposing to approve revisions to the Imperial County Air Pollution Control District (ICAPCD), Kern County Air Pollution Control District (KCAPCD), and Ventura County Air Pollution Control District...

  9. Bayesian Prediction of Mean Indoor Radon Concentrations for Minnesota Counties

    Energy Technology Data Exchange (ETDEWEB)

    Price, P.N.; Nero, A.V.; Gelman, A.

    1995-08-01

    Past efforts to identify areas having higher than average indoor radon concentrations by examining the statistical relationship between local mean concentrations and physical parameters such as the soil radium concentration have been hampered by the noise in local means caused by the small number of homes monitored in some or most areas, In the present paper, indoor radon data from a survey in Minnesota are analyzed in such a way as to minimize the effect of finite sample size within counties, in order to determine the true county-to-county variation of indoor radon concentrations in the state and the extent to which this variation is explained by the variation in surficial radium concentration among counties, The analysis uses hierarchical modeling, in which some parameters of interest (such as county geometric mean (GM) radon concentrations) are assumed to be drawn from a single population, for which the distributional parameters are estimated from the data. Extensions of this technique, known as a random effects regression and mixed effects regression, are used to determine the relationship between predictive variables and indoor radon concentrations; the results are used to refine the predictions of each county's radon levels, resulting in a great decrease in uncertainty. The true county-to-county variation of GM radon levels is found to be substantially less than the county-to-county variation of the observed GMs, much of which is due to the small sample size in each county. The variation in the logarithm of surficial radium content is shown to explain approximately 80% of the variation of the logarithm of GM radon concentration among counties. The influences of housing and measurement factors, such as whether the monitored home has a basement and whether the measurement was made in a basement, are also discussed. This approach offers a self-consistent statistical method for predicting the mean values of indoor radon concentrations or other geographically

  10. Assessing urban forest effects and values: Douglas County, Kansas

    Science.gov (United States)

    David J. Nowak; Allison R. Bodine; Robert E. Hoehn; Alexis Ellis; Kim Bomberger; Daniel E. Crane; Theodore A. Endreny; Thomas Taggert; Emily. Stephan

    2014-01-01

    An analysis of trees in Douglas County, Kansas, reveals that this area has about 14,164,000 trees with tree and shrub canopy that covers 25.2 percent of the county. The most common tree species are American elm, northern hackberry, eastern redcedar, Osage-orange, and honeylocust. Trees in Douglas County currently store about 1.7 million tons of carbon (6.4 million tons...

  11. Ground-water geology of Grayson County, Texas

    Science.gov (United States)

    Baker, E.T.

    1963-01-01

    Grayson County in north-central Texas is near the north edge of the West Gulf Coastal Plain. The county has an area of 927 square miles and had an estimated population of 79,500 in 1957. The major town is Sherman, which has an estimated population of 31,000. The northern two-thirds of the county is drained by tributaries of the Red River; the southern one-third is drained by tributaries of the Trinity River

  12. Breast Cancer Screening Interventions in Selected Counties Across US Regions

    Science.gov (United States)

    Austin, Shamly; Martin, Michelle Y; Levine, Robert S.; Pisu, Maria

    2010-01-01

    Objectives To determine the types of, and the populations targeted by interventions implemented to increase breast cancer screening rates in counties with large African American populations across different US regions. Methods A brief questionnaire was administered by e-mail to county representatives from 33 states from October 2008 through March 2009. Responses were obtained from 33% of 203 targeted counties. Results Most counties (>80%) reported interventions for African American women and for women with low income. Women were exposed to different kinds of interventions depending on where they lived. Most counties in the Northeast (93%), Southwest (82%) and Midwest (100%) implemented interventions that provided free or low cost mammograms. Counties in the Southeast (83%) were more likely to report education interventions. Counties from the Southwest reported using a variety of interventions to encourage breast cancer screening. Conclusion In this selected group of counties, different types of interventions were used to increase breast cancer screening in minority and disadvantaged women. Interventions implemented were similar to those shown in the literature to be effective in increasing screening rates in specific populations. Future research should examine the use of screening interventions in a larger sample of US counties. PMID:20820899

  13. Geology and ground-water resources of Winkler County, Texas

    Science.gov (United States)

    Garza, Sergio; Wesselman, John B.

    1963-01-01

    Winkler County, in west Texas, is adjacent to the southeast corner of New Mexico. Most of the county lies in the Pecos Valley; the remainder, in the northeastern part of the county, is part of the Llano Estacado, or the High Plains. Its principal industries are those related to the production and refining of oil, but ranching also is an important occupation. The county has an arid to semiarid climate, an area of about 887 square miles, and a population of about 12,000 in 1957.

  14. Forecasting gaming revenues in Clark County, Nevada: Issues and methods

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.K.; Bando, A.

    1992-01-01

    This paper describes the Western Area Gaming and Economic Response Simulator (WAGERS), a forecasting model that emphasizes the role of the gaming industry in Clark County, Nevada. Is is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry. The model is meant to forecast Clark County gaming revenues and identifies the exogenous variables that affect gaming revenues. It will provide baseline forecasts of Clark County gaming revenues in order to assess changes in gaming-related economic activity resulting from changes in regional economic activity and tourism.

  15. Forecasting gaming revenues in Clark County, Nevada: Issues and methods

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.K.; Bando, A.

    1992-07-01

    This paper describes the Western Area Gaming and Economic Response Simulator (WAGERS), a forecasting model that emphasizes the role of the gaming industry in Clark County, Nevada. Is is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry. The model is meant to forecast Clark County gaming revenues and identifies the exogenous variables that affect gaming revenues. It will provide baseline forecasts of Clark County gaming revenues in order to assess changes in gaming-related economic activity resulting from changes in regional economic activity and tourism.

  16. 75 FR 54419 - Environmental Impact Statement: Yellowstone County, MT

    Science.gov (United States)

    2010-09-07

    ... highway project in Yellowstone County, Montana. FOR FURTHER INFORMATION CONTACT: Brian Hasselbach, Right...: August 26, 2010. Brian Hasselbach, Right of Way & Environmental Programs Manager, FHWA. BILLING CODE 4910...

  17. 78 FR 28779 - Proposed Flood Elevation Determinations for Armstrong County, Pennsylvania (All Jurisdictions)

    Science.gov (United States)

    2013-05-16

    ... Armstrong County, Pennsylvania (All Jurisdictions) AGENCY: Federal Emergency Management Agency, DHS. ACTION... proposed rule concerning proposed flood elevation determinations for Armstrong County, Pennsylvania (All... sources in Armstrong County, Pennsylvania. Because FEMA has or ] will be issuing a Revised...

  18. 77 FR 23501 - Notice of Inventory Completion: Sheboygan County Historical Museum, Sheboygan, WI

    Science.gov (United States)

    2012-04-19

    ... National Park Service Notice of Inventory Completion: Sheboygan County Historical Museum, Sheboygan, WI AGENCY: National Park Service, Interior. ACTION: Notice. SUMMARY: The Sheboygan County Historical Museum... human remains may contact the Sheboygan County Historical Museum. Disposition of the human remains...

  19. 76 FR 9640 - Prevailing Rate Systems: Santa Clara, CA, Tulsa County, OK, and Angelina County, TX

    Science.gov (United States)

    2011-02-22

    ..., ``Santa Clara,'' which was abolished as a NAF FWS wage area by a final rule (74 FR 9951) published on... MANAGEMENT 5 CFR Part 532 RIN 3206-AM22 Prevailing Rate Systems: Santa Clara, CA, Tulsa County, OK, and... of California by removing the entry for ``Santa Clara.'' 0 3. Appendix D to subpart B is amended...

  20. 75 FR 45557 - Prevailing Rate Systems; Definition of Tulsa County, OK, and Angelina County, TX, to...

    Science.gov (United States)

    2010-08-03

    ... Counties, TX. Santa Clara, CA On March 9, 2009, we published a final rule (74 FR 9951) that abolished the Santa Clara, CA, NAF FWS wage area. Therefore, ``Santa Clara'' should be removed under the State of... removing, under the State of California, ``Santa Clara,'' which was abolished as a NAF FWS wage area by...

  1. Water resources of Taos County, New Mexico

    Science.gov (United States)

    Garrabrant, Lynn A.

    1993-01-01

    In Taos County, ground water generally is unconfined and moves toward the Rio Grande or perennial streams. Water quality is good except in some areas where water has high values of specific conductance and hardness and contains high concentrations of dissolved solids and fluoride. Most wells are completed in alluvial sediments of Quaternary and Tertiary age in the Costilla Plains. A few wells are completed in basalt of the Taos Plateau and in alluvium of stream channels in the Sangre de Cristo Mountains. Depths to water in wells range from less than 1 to 1,080 feet below land surface. Well yields range from 1 to 3,000 gallons per minute. Water levels in wells in Sunshine Valley dropped 5 to 50 feet between 1955 and 1970. Ground-water irrigation has since declined and water levels have risen. Surface-water records show the county is a net producer of water. The average discharge gained in the Rio Grande as it flows through the county was 271,700 acre-feet per year for water years 1931-89. The highest mean monthly discharge occurs in May or June due to snowmelt runoff. Water quality ranges from good in upstream reaches to fair in lower reaches. Surface water was the source for 93 percent of water withdrawn in 1990, but ground water was used for all public supply, domestic, and industrial purposes. The largest water use is irrigation. About 28,500 acres were irrigated in 1990; alfalfa, native pasture, and planted pasture accounted for 91 percent of this acreage.

  2. ECONOMIC EVALUATION OF BEEKEEPING IN KARLOVACKA COUNTY

    Directory of Open Access Journals (Sweden)

    Janja Kezić

    2009-03-01

    Full Text Available Beekeeping in Croatia has a long tradition. There are favourable climate and vegetation conditions for development of beekeeping in Croatia. The number of registered beekeepers in Croatia is 3.404 with total of 313.978 beehives. Most of them are part–time beekeepers (53 %, hobby beekeepers comprise 37 % and professional beekeepers represent the smallest part with 11 % [3]. Beekeeping production is mainly organized on family farms [5]. Karlovačka county, in the cental part of Croatia, was chosen to analyse the economic attributes of beekeeping. The number of beekeepers in Karlovačka county in 2007. was 179 with total of 17.636 beehives [3]. Beekeepers were interviewed during the regular meeting of the Beekeepers Association. Forty–five beekeepers were interviewed which is a representative sample of beekeepers in Karlovacka county. Beekeepers were categorized as hobby beekeepers (<60, part–time (61–150 and professional beekeepers (>151 based on the number of beehives. There are 56 % of hobby beekeepers, 31 % of part–time beekeepers and 13 % are professional beekeepers. Fixed assets in beekeeping consist of equipment, beehives and vehicles used in beekeeping (trucks, trailers, personal car. Hobby beekeepers generate 5.031,55 € of total income per year with 52 average beehives per beekeeper. They achieve the highiest selling price an average of 3,20 € per kilo for their honey. Part–time beekeepers generate 9.875,74 € total income per year. The average number of beehives per part–time beekeeper is 110 and they achieve a selling price of 2,69 € per kilo. Professional beekeepers generate 26.681,36 € total income per year with an average number of 329 beehives per beekeeper. Their actual selling price, on average, is 2,07 €.

  3. Y microdeletions in the Istria county, Croatia

    Institute of Scientific and Technical Information of China (English)

    I. Medica; N. Gligorievska; M. Prenc; B. Peterlin

    2005-01-01

    Aim: To establish the frequency of Y chromosome microdeletions in an unselected group of infertile Croatian men.Methods: An unselected group of 105 patients (male partners of infertile couples), both with idiopathic and nonidiopathic infertility, consecutively referred to the outpatient infertility clinic, gynecology department, General Hospital Pula, Istria County, Croatia, was examined for the presence or absence of Y chromosome microdeletions by polymerase chain reaction analysis. Results: One of the 105 men (0.95%, 95% CI = 0.17-5.2%) was found to have a microdeletion. Conclusion: A low frequency of Y chromosome microdeletions was found in the group of unselected infertile Croatian men.

  4. CARPATHIANS ENDEMIC TAXA IN ARGEŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Valeriu Alexiu

    2013-12-01

    Full Text Available Endemic plant species are the biogeographic elements why use the delimitation of biogeographical regions. Their presence explains, in the context of identifying phyto-historical factors, distribution of species and certain distribution patterns. Endemic areas, with pronounced as the basic unit of biogeography, indicates those particular geographic region, both in the growth areas and the evolutionary biological processes of speciation.In this study we proposed the following objectives: knowing the list Carpathian endemic species and endemic centers present in Argeş, also, areas of endemism in the Carpathians Mountains of the Argeş County.

  5. 75 FR 54220 - Environmental Impact Statement: Skowhegan and Madison, Somerset County, ME

    Science.gov (United States)

    2010-09-03

    ... Impact Statement: Skowhegan and Madison, Somerset County, ME AGENCY: Federal Highway Administration (FHWA..., Somerset County, Maine. Work on the EIS is being discontinued due to adverse economic and...

  6. Aerial Photography and Imagery, Ortho-Corrected - 2012 Digital Orthophotos - Orange County

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser...

  7. 77 FR 36996 - South Mississippi Electric Cooperative: Plant Ratcliff, Kemper County Integrated Gasification...

    Science.gov (United States)

    2012-06-20

    ... Cooperative: Plant Ratcliff, Kemper County Integrated Gasification Combined-Cycle (IGCC) Project AGENCY: Rural... Gasification Combined-Cycle (IGCC) Project currently under construction in Kemper County,...

  8. 75 FR 67806 - Environmental Impact Statement; Nueces County, TX

    Science.gov (United States)

    2010-11-03

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

  9. 27 CFR 9.44 - Solano County Green Valley.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Solano County Green Valley. 9.44 Section 9.44 Alcohol, Tobacco Products and Firearms ALCOHOL AND TOBACCO TAX AND TRADE BUREAU... Solano County Green Valley. (a) Name. The name of the viticultural area described in this section...

  10. Financial Statement Audit Report of Tri-County Community College.

    Science.gov (United States)

    Campbell, Ralph

    This report presents the results of the Tri-County Community College financial statement audit for the fiscal year ending on June 30, 1998. Tri-County Community College is a component of the State of North Carolina, thus the authority to audit is granted by Article 5A of G.S. 147. The accounts and operations of the institution were subject to…

  11. County Governments: "Forgotten" Subjects in Local Government Courses?

    Science.gov (United States)

    Benton, J. Edwin

    2007-01-01

    Revenue, expenditure, and employment data indicate that county governments--once taken for granted and playing "second fiddle" to municipalities--are playing an increasingly important role (and sometimes a role equal to that of municipalities) as vital service providers. Therefore, one would expect that county governments and municipal governments…

  12. Results of the Fall 1984 Survey of Napa County Residents.

    Science.gov (United States)

    Friedlander, Jack; Gocke, Sharon

    In November 1984, a random sample of Napa County residents was asked to complete a survey concerning the educational programs of Napa Valley College (NVC) to determine the extent to which NVC was meeting the county's educational needs. The survey was completed by 207 of the 400 community members in the sample. Study findings included the…

  13. Timber resources of Mendocino and Sonoma Counties, California.

    Science.gov (United States)

    Daniel D. Osward

    1972-01-01

    The findings of the first complete inventory of the timber resources of Mendocino and Sonoma Counties, California, indicate there is 19.1 billion board feet of sawtimber on 1,564,000 acres of unreserved commercial forest land in these two counties. Forest industries own about 34 percent of the commercial forest area and 37 percent of the timber volume; farm and...

  14. Measuring county resilience after the 2008 Wenchuan earthquake

    Directory of Open Access Journals (Sweden)

    X. Li

    2015-01-01

    Full Text Available The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.

  15. Measuring county resilience after the 2008 Wenchuan earthquake

    Science.gov (United States)

    Li, X.; Lam, N.; Qiang, Y.; Li, K.; Yin, L.; Liu, S.; Zheng, W.

    2015-01-01

    The catastrophic earthquake in 2008 has caused serious damage to Wenchuan County and the surrounding area in China. In recent years, great attention has been paid to the resilience of the affected area. This study applied a new framework, the Resilience Inference Measurement (RIM) model, to quantify and validate the community resilience of 105 counties in the affected area. The RIM model uses cluster analysis to classify counties into four resilience levels according to the exposure, damage, and recovery conditions, and then applies discriminant analysis to quantify the influence of socioeconomic characteristics on the county resilience. The analysis results show that counties located right at the epicenter had the lowest resilience, but counties immediately adjacent to the epicenter had the highest resilience capacities. Counties that were farther away from the epicenter returned to normal resiliency. The socioeconomic variables, including sex ratio, per capita GDP, percent of ethnic minority, and medical facilities, were identified as the most influential socio-economic characteristics on resilience. This study provides useful information to improve county resilience to earthquakes and support decision-making for sustainable development.

  16. 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.

  17. 75 FR 3197 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2010-01-20

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead- Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday February...

  18. 76 FR 13976 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2011-03-15

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead- Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday April 7...

  19. 76 FR 29723 - Tri-County Advisory Committee Meeting

    Science.gov (United States)

    2011-05-23

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF AGRICULTURE Forest Service Tri-County Advisory Committee Meeting AGENCY: Forest Service, USDA. ACTION: Notice of... Beaverhead- Deerlodge National Forest's Tri-County Resource Advisory Committee will meet on Thursday June 16...

  20. Forest statistics for east Oklahoma counties - l993

    Science.gov (United States)

    Patrick E. Miller; Andrew J. Hartsell; Jack D. London

    1993-01-01

    This report contains the statistical tables and figures derived from data obtained during a recent inventory of east Oklahoma. The multiresource inventory included 18 counties and two survey regions. Data on forest acreage and timber volume involved a three-step procedure. First, estimate of forest acreage were made for each county using aerial photographs....

  1. 75 FR 71179 - Environmental Impact Statement: San Diego County, CA

    Science.gov (United States)

    2010-11-22

    ... Federal Highway Administration Environmental Impact Statement: San Diego County, CA AGENCY: Federal... Environmental Impact Statement (EIS) will be prepared ] for a proposed highway project in San Diego County... Community Center, 2258 Island Avenue, San Diego, California 92102. FOR FURTHER INFORMATION CONTACT: Kevin...

  2. Rights of Passage: The Montgomery County Transition Initiative.

    Science.gov (United States)

    O'Toole, Thomas J.; Meissner, Margit

    1988-01-01

    A Montgomery County (Maryland) task force was jointly developed by the county executive and the school superintendent to consider the transition from school to work for disabled students. Recommendations were made which resulted in development of a transition planning/coordinating function and a model for planning transition services. (JDD)

  3. 76 FR 13017 - Environmental Impact Statement: Los Angeles County, CA

    Science.gov (United States)

    2011-03-09

    ... Federal Highway Administration Environmental Impact Statement: Los Angeles County, CA AGENCY: Federal... Environmental Impact Statement will be prepared for a proposed highway project in Los Angeles County, California... Environmental Impact Statement on a proposal for the State Route 710 Gap North Closure project in Los Angeles...

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

    DEFF Research Database (Denmark)

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

    1995-01-01

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

  5. The Research on the Status of Small-and-Medium-Sized Enterprises of County in the Dominant Industry of Shaanxi County Economy

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    The thesis analyzes the role of small-and-medium-sized enterprises of county in promoting county economy:the small-and-medium-sized enterprises of county become the material basis of developing production and boosting county economy;the small-and-medium-sized enterprises of county become the main channel of increasing farmers’ job opportunities and realizing affluent life;the development of the small-and-medium-sized enterprises of county become the propeller of development of urbanization and county economy;the development of the small-and-medium-sized enterprises of county creates excellent conditions for the construction of modern agriculture.The thesis indicates that the low level of county industrialization is the principal factor impeding the county economy of Shaanxi Province and it also analyzes the opportunities and challenges when quickening the development of county industry.The countermeasures of developing small-and-medium-sized enterprises are put forward as follows:raise the awareness and determine the concept of using industry to make county powerful;build scientific planning and outline of county enterprise development to propel the innovation of developing and operating system of county enterprise;create beneficial conditions and reinforce the degree of county enterprise support entrepreneurship;take the park construction as vehicle and reinforce the degree of attracting investments from overseas;take the autonomous innovation as the impetus and develop the recycling economy;improve and optimize the service environment so as to create an excellent investment environment for enterprise.

  6. Project monitor. Final report. [Allegheny County, PA

    Energy Technology Data Exchange (ETDEWEB)

    Hammond, P.Y.; Beck, P.; Doctors, S.I.

    1979-04-27

    Results are reported of a study of consumers' energy attitudes and behavior. Household consumers and small business consumers (both retail and manufacturing) responded to the survey, but only the household results are reported. The study sought to understand energy-related behavior at the level where the various components of energy policy intersect. Attempts are made to attain this goal by determining the extent to which various properties of the individuals and firms are associated with various amounts of conservation. A representative sample of the adult population in Allegheny County, Pennsylvania was interviewed. Part I introduces the measures of household conservation to be used in the survey. Part II analyzes each of the types of energy conservation - general, winterization, heating, cooling, appliance, transportation, and electricity reductions - and relates them to demographic, situation, attitudinal, and perceptual variables in the household sample. Part III deals with the impacts of Project Pacesetter and the United Mine Workers' strike against the coal operators - particularly, the impact of the coal strike on household residents of Allegheny County. Part IV summarizes the findings and uses them for recommendations regarding energy conservation policy. Additional data are presented in 4 appendices. (MCW)

  7. Hydrogeologic framework of LaSalle County, Illinois

    Science.gov (United States)

    Kay, Robert T.; Bailey, Clinton R.

    2016-10-28

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

  8. Open Defecation in Newly Created Kenyan Counties: A Situational Analysis.

    Science.gov (United States)

    Njuguna, John; Muruka, Charles

    2017-01-01

    An estimated 5.6 million Kenyans defecate in the open. This exposes them to sanitation related diseases. This study analysed open defecation trends among the 47 counties in Kenya, newly created in 2013. The study used four data sets on open defecation, unimproved water supply coverage, poverty levels, and population density. Mean open defecation rate across the 47 counties was 23.5% and the median rate 6.9%. The lowest rate was 0.1% and the highest 88.4%. Fifteen counties had open defecation rates of 40% and above. Another 21 counties had open defecation rates of less than 5%. Poverty was the most significant predictor accounting for 68.4% of the variance in open defecation after controlling for unimproved water supply and population density. Some counties have unacceptably high open defecation rates. Alleviating poverty may reduce open defecation in Kenya.

  9. County and Parish Boundaries, Iredell County jurisdictional boundary, Published in 2009, 1:2400 (1in=200ft) scale, Iredell County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Published Reports/Deeds information as of 2009....

  10. County and Parish Boundaries, Lafayette County Boundary, Published in 1997, 1:24000 (1in=2000ft) scale, Lafayette County Land Records.

    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 Published Reports/Deeds information as of 1997....

  11. County and Parish Boundaries, Boundary of Cochise County, Published in 1995, 1:600 (1in=50ft) scale, Cochise County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:600 (1in=50ft) scale, was produced all or in part from Other information as of 1995. It is described as...

  12. County and Parish Boundaries, Effingham County Boundary, Published in 2010, 1:2400 (1in=200ft) scale, Effingham County Board Of Commissioners.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Published Reports/Deeds information as of 2010. It...

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

    Data.gov (United States)

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

  14. County and Parish Boundaries, County boundary is entered per metes & bounds (parcel mapping), Published in 2013, 1:1200 (1in=100ft) scale, Brown County, WI.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Published Reports/Deeds information as of 2013....

  15. County and Parish Boundaries, County boundaries for the counties we serve., Published in 2000, 1:100000 (1in=8333ft) scale, Prairie Land Electric COOP, Inc..

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:100000 (1in=8333ft) scale, was produced all or in part from Road Centerline Files information as of 2000....

  16. IMPACT of City-County Consolidation of the Rural-Urban Fringe: Nashville-Davidson County, Tennessee.

    Science.gov (United States)

    Economic Research Service (USDA), Washington, DC.

    This report analyzed the effect of consolidation of city and county governments in Nashville, Tenn., on local public finance and the availability of public services in the rural areas of the county. Comparisons were made between governmental costs and functions before and 3 years after the metropolitan district was formed. Some 299 voters in the…

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

    Science.gov (United States)

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

    2004-01-01

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

  18. Hurricane exposure and county fetal death rates, utilization of a county environmental quality index for confounding control.

    Science.gov (United States)

    The effects of natural disasters on public health are a rising concern, with increasing severity of disaster events. Many disaster studies utilize county-level analysis, however most do not control for county level environmental factors. Hurricane exposure during pregnancy could ...

  19. Hurricane exposure and county fetal death rates, utilization of a county environmental quality index for confounding control.

    Science.gov (United States)

    The effects of natural disasters on public health are a rising concern, with increasing severity of disaster events. Many disaster studies utilize county-level analysis, however most do not control for county level environmental factors. Hurricane exposure during pregnancy could ...

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

    Directory of Open Access Journals (Sweden)

    Majid Ezzati

    2008-04-01

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

  1. Instantaneous network RTK in Orange County, California

    Science.gov (United States)

    Bock, Y.

    2003-04-01

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

  2. Hydrogeologic characterization of the Brazos River Alluvium Aquifer, Bosque County to Fort Bend County, Texas

    Science.gov (United States)

    Shah, Sachin D.; Houston, Natalie A.; Braun, Christopher L.

    2007-01-01

    Introduction The Brazos River alluvium aquifer underlies the Brazos River in Texas from Bosque County to Fort Bend County. The aquifer, one of 21 minor aquifers in the State, supplies water for irrigation, domestic, stock, and commercial use. The Brazos River alluvium aquifer likely will become more important in the future as demand for water increases statewide. A thorough understanding of the hydrogeology of the alluvium aquifer will be the foundation for future studies in the area. During October 2006-April 2007, the U.S. Geological Survey, in cooperation with the Texas Water Development Board, conducted a study to delineate the altitude of the top, altitude of the base, and thickness of the Brazos River alluvium aquifer, and to compile and summarize available hydraulic property (specific capacity, transmissivity, and hydraulic conductivity) data. A digital elevation model was used as the altitude of the top of the aquifer. The altitude of the base of the aquifer was generated using data from wells. The study area encompasses the Brazos River alluvium aquifer in parts of Bosque, Hill, McLennan, Falls, Robertson, Milam, Brazos, Burleson, Grimes, Washington, Waller, Austin, and Fort Bend Counties and a 1.5-mile-wide lateral buffer adjacent to the aquifer. The results of this study will be used by the Texas Water Development Board for input into a ground-water availability model.

  3. Uranium occurrences in Bucks County, Pennsylvania, and Hunterdon County, New Jersey

    Science.gov (United States)

    McKeown, F.A.; Choquette, P.W.; Baker, R.C.

    1954-01-01

    Eleven occurrences of uraniferous argillite in the Lockatong lithofacies and five occurrences of uraniferous sandstone in the Stockton lithofacies, both of Triassic age, are known in Buck County, Pa. and Hunterdon County, N.J. Most of the occurrences were discovered by the Geological Survey, though prospectors found several. The Delaware quarry, Bucks County, Pa., was mapped and sampled in detail because the best exposed and most uraniferous argillite known crops out there. Sketches of two sandstone occurrences were made. Two stratigraphic sections of part of the Stockton formation were made in an unsuccessful effort to find key beds to which the uranium occurrences might be referred. The argillite occurrences contain as much as 0.034 percent uranium but commonly contain only about 0.010 percent uranium. They are known to extend for several hundred feet along the strike and may possibly extend several thousand feet, but less than a mile. They range from about 1 to 6 feet in thickness. The sandstone occurrences are characterized by the presence of pyrite or limonite and the alteration of feldspar to clay. The most uraniferous parts of the sandstone contain mud pebbles or lenses. The sandstone with mud pellets generally contain from 0.01 to 0.03 percent uranium, but selected parts of the pellets contain as much as 0.29 percent uranium. The known occurrences are small, about 1 to 2 feet thick and 20 to 30 feet long. None of the argillite or sandstone occurrences are now of economic importance.

  4. Oil heritage district : Lambton County Ontario

    Energy Technology Data Exchange (ETDEWEB)

    Shearer, W. [Wendy Shearer Landscape Architect, Kitchener, ON (Canada)

    2009-07-01

    This paper discussed a project conducted to assess the cultural heritage values of oil field equipment in Lambton County, Ontario. Oil was discovered in the region in 1858, after which a boom and bust cycle of exploration created a large rural-industrial landscape. The region now contains a unique collection of historic oil equipment. The region's industrial footprint is interwoven with village settlements, agricultural settlements, and a railway and road network linking the region to remote refineries. Oil wells in the region still operate using a jerker line system developed in the early twentieth century. The operational oil wells are subject to fluctuating oil prices and environmental protection requirements. The project presents a rare opportunity to place industrial heritage conservation directly in the hands of business operators and regulators, while also functioning as part of a living community. 2 figs.

  5. RESEARCHES REGARDING THE DEVELOPMENT STRATEGY OF TIMIŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Camelia MĂNESCU

    2014-04-01

    Full Text Available In this paper, the authors conducted a study on the economic development of Timiş County, as well as its SWOT analysis. The paper concludes with the Development Strategy of Timiş County, the main conclusions drawn from the conducted researches and bibliographical references. Within the paper, there are presented theoretical aspects related to rural area concept, followed by the physical- geographical characteristics of Timiş County. Throughout the paper, there are analyzed the existing demographic aspects found in Timiş County. The end part of the paper represents a translation in statistical terms of the main economic phenomena which are recorded in Timiş County. There are references made towards agriculture, forestry, industry, services, trade, tourism, as economic activities carried out in Timis County. Following these researches, at the end part of the paper, the authors have compiled a SWOT analysis of Timiş County, proposing in the same time a strategy for its development.

  6. Water resources and effects of development in Hernando County, Florida

    Science.gov (United States)

    Fretwell, J.D.

    1985-01-01

    In spite of the hill and valley terrain in the Brooksville Ridge area of Hernando County, Florida, little surface drainage occurs within the county. Recharge to the Floridan aquifer system occurs as infiltration of precipitation within the county or as ground-water flow from Sumter County to the east and Pasco County to the south. Discharge is principally to the Gulf of Mexico, but some ground water flows north into Citrus County before it reaches the Gulf. The Floridan aquifer system is generally unconfined. Water quality is generally good except near the coast where high chloride occurs. Water from the Floridan aquifer system accounted for 87 percent of the water used for irrigation, industry, and rural and public supply in 1982. Sixty-seven percent of this water was used by industry. Rock mining, the major industry, used 99 percent of the industrial water. The anticipated increase in population in the county between 1982 and 2000 will increase demand for water primarily from public water-supply systems. This higher demand will cause about a 1 percent reduction in flow from Weeki Wachee Springs, but little change in lake levels or saltwater intrusion will occur if the projected additional supplies are developed far enough inland from the coast. (USGS)

  7. Developing a Marketing Mind-Set: Training and Mentoring for County Extension Employees

    Science.gov (United States)

    Sneed, Christopher T.; Elizer, Amy Hastings; Hastings, Shirley; Barry, Michael

    2016-01-01

    Marketing the county Extension program is a critical responsibility of the entire county staff. This article describes a unique peer-to-peer training and mentoring program developed to assist county Extension staff in improving marketing skills and successfully developing and implementing a county Extension marketing plan. Data demonstrating…

  8. 7 CFR 7.18 - Terms of office of county and community members.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Terms of office of county and community members. 7.18... STABILIZATION AND CONSERVATION STATE, COUNTY AND COMMUNITY COMMITTEES § 7.18 Terms of office of county and community members. The term of office of county and community committee members and alternates to...

  9. County Government Finances in 1974-75. Government Finances/GF75 No. 8.

    Science.gov (United States)

    Bureau of the Census (DOC), Suitland, MD.

    Revenue sources and expenditures of county governments itemized in this report include national totals on county finances, county financial amounts, and percent distribution. Other subjects covered include expenditure by character and object, indebtedness and debt transactions, cash and security holdings, county utilities and liquor stores,…

  10. Zoning Districts, Zoning for each area provided to us from all cities and Johnson County. The only city in Johnson County not included is Gardner at this time., Published in 2007, Johnson County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Zoning Districts dataset current as of 2007. Zoning for each area provided to us from all cities and Johnson County. The only city in Johnson County not included is...

  11. 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 Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Public Lands, Other dataset current as of 2013. This would include all counties owned by Chippewa County that are not Forest or Park. Most lands obtained through tax...

  12. 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 Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — 911 Call Center (PSAP) Service Areas dataset current as of 2012. Important layer used in County Dispatch for routing first responders. Created using the County USPLS...

  13. INTERRACTIVE AND GRAPHICAL MANAGEMENT SYSTEM AT THE MARAMURES COUNTY COUNCIL

    Directory of Open Access Journals (Sweden)

    Macelaru Mara

    2010-12-01

    Full Text Available The Maramures County Council (Romania implements a computerized graphic system for assisted public management. A performing public administration is a key issue for the present local and regional development. Having an interactive graphic interface based on the county geographical map, the SIGMA2 system act as a scoreboard for the management of the County Council, as well as an integrator of different software modules that consolidate local administration data. Among its results are the automatization of different financial operations and the provision of informational support for managerial analyses and decision making.

  14. A forecasting model of gaming revenues in Clark County, Nevada

    Energy Technology Data Exchange (ETDEWEB)

    Edwards, B.; Bando, A.; Bassett, G.; Rosen, A. [Argonne National Lab., IL (United States); Carlson, J.; Meenan, C. [Science Applications International Corp., Las Vegas, NV (United States)

    1992-04-01

    This paper describes the Western Area Gaming and Economic Response Simulator (WAGERS), a forecasting model that emphasizes the role of the gaming industry in Clark County, Nevada. It is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry, an identify the exogenous variables that affect gaming revenues. This model will provide baseline forecasts of Clark County gaming revenues in order to assess changes in gaming related economic activity resulting from future events like the siting of a permanent high-level radioactive waste repository at Yucca Mountain.

  15. 75 FR 21368 - Designation of Five Counties as High Intensity Drug Trafficking Areas

    Science.gov (United States)

    2010-04-23

    ...The Director of the Office of National Drug Control Policy designated five additional counties as High Drug Trafficking Areas pursuant to 21 U.S.C. 1706. The new counties are (1) Rock and Brown Counties in Wisconsin as additions to the Milwaukee HIDTA, (2) Lane County and Warm Springs Indian Reservation in Oregon as additions to the Oregon HIDTA, and (3) Travis County, Texas as an addition to the Southwest Border HIDTA, South Texas Region.

  16. Parcels and Land Ownership, Published in 2011, Smith County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Smith County, TN. This metadata was auto-generated through the Ramona GIS...

  17. EPA Recognizes Charleston County School District for Reducing Food Waste

    Science.gov (United States)

    ATLANTA - Today, U.S. Environmental Protection Agency (EPA) recognized the Charleston County School District for the District's achievements in reducing food waste. The District cultivated one of the state's first student-driven commercial compostin

  18. Parcels and Land Ownership, Published in 2011, Kenosha County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Kenosha County, WI. This metadata was auto-generated through the Ramona GIS...

  19. 1:100,000-scale Counties of the United States

    Data.gov (United States)

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

  20. Parcels and Land Ownership, Published in 2011, Loving County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Lucas County, IA. This metadata was auto-generated through the Ramona GIS...

  1. Parcels and Land Ownership, Published in 2011, Loving County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Lowndes County, MS. This metadata was auto-generated through the Ramona...

  2. Parcels and Land Ownership, Published in 2011, Loving County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Loving County, TX. This metadata was auto-generated through the Ramona GIS...

  3. Parcels and Land Ownership, Published in 2011, Love County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Love County, OK. This metadata was auto-generated through the Ramona GIS...

  4. Parcels and Land Ownership, Published in 2011, Klickitat County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Klickitat County, WA. This metadata was auto-generated through the Ramona...

  5. Parcels and Land Ownership, Published in 2011, Hoke County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Hoke County, NC. This metadata was auto-generated through the Ramona GIS...

  6. King County Metro Transit Hybrid Articulated Buses: Final Evaluation Results

    Energy Technology Data Exchange (ETDEWEB)

    Chandler, K.; Walkowicz, K.

    2006-12-01

    Final technical report compares and evaluates new diesel and diesel hybrid-electric articulated buses operated as part of the King County Metro Transit (KC Metro) fleet in Seattle, Washington. The evaluation lasted 12 months.

  7. Parcels and Land Ownership, Published in 2011, Ritchie County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Ritchie County, WV. This metadata was auto-generated through the Ramona...

  8. Parcels and Land Ownership, Published in 2011, Sampson County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Sampson County, NC. This metadata was auto-generated through the Ramona GIS...

  9. 1990 County Boundaries of the United States - Direct Download

    Data.gov (United States)

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

  10. Parcels and Land Ownership, Published in 2011, Kent County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Kent County, TX. This metadata was auto-generated through the Ramona GIS...

  11. 2007 Delaware Coastal Programs Lidar: Kent and New Castle Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data acquisition occurred in 7 missions between March 31 and April 5, 2007 in Kent and New Castle Counties, Delaware. The data have been classified and were...

  12. Parcels and Land Ownership, Published in 2008, Kent County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2008. The extent of these data is generally Kent County, MI. This metadata was auto-generated through the Ramona GIS...

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

    Data.gov (United States)

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

  14. Parcels and Land Ownership, Published in 2011, Armstrong County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Armstrong County, PA. This metadata was auto-generated through the Ramona...

  15. Parcels and Land Ownership, Published in 2011, Coles County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Coles County, IL. This metadata was auto-generated through the Ramona GIS...

  16. Parcels and Land Ownership, Published in 2011, Cole County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Cole County, MO. This metadata was auto-generated through the Ramona GIS...

  17. TERRAIN, Town of Pocatello Levee PMR, Bannock COUNTY, IDAHO

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — The Town of Pocatello, Bannock County, ID created 2ft contours by photogrametric methods to serve as terrain. The areas for contour creation have been designed as...

  18. Parcels and Land Ownership, Published in 2011, Macon County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Macon County, IL. This metadata was auto-generated through the Ramona GIS...

  19. 1997 County Pesticide Use Estimates for 220 Compounds

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset includes information for 220 pesticides on the average amount (pounds) applied to 87 agricultural crops and the acres of crops treated for counties...

  20. Parcels and Land Ownership, Published in 2011, Wayne County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Wayne County, PA. This metadata was auto-generated through the Ramona GIS...

  1. Parcels and Land Ownership, Published in unknown, Wayne County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of unknown. The extent of these data is generally Wayne County, OH. This metadata was auto-generated through the Ramona...

  2. VT Lidar Slope (1.6 meter) - 2012 - Addison County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Addison County 2012 1.6m and related SLOPE datasets. Created using ArcGIS "SLOPE"...

  3. VT Lidar Aspect (1.6 meter) - 2012 - Addison County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Addison County 2012 1.6m and related ASPECT datasets. This metadata complies with the...

  4. Parcels and Land Ownership, Published in 2011, Pitkin County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Pitkin County, CO. This metadata was auto-generated through the Ramona GIS...

  5. Parcels and Land Ownership, Published in 2011, Jasper County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Jasper County, GA. This metadata was auto-generated through the Ramona GIS...

  6. Parcels and Land Ownership, Published in 2011, Harper County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Harper County, KS. This metadata was auto-generated through the Ramona GIS...

  7. Parcels and Land Ownership, Published in 2011, Newton County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Newton County, IN. This metadata was auto-generated through the Ramona GIS...

  8. Parcels and Land Ownership, Published in 2011, Benson County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Benson County, ND. This metadata was auto-generated through the Ramona GIS...

  9. 2014 USGS Lidar: Central Virginia Seismic (Louisa County)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Laser Mapping Specialist, Inc (LMSI) collected 230 square miles in the Virginia counties of Fluvanna, Orange, Louisa, and Spotsylvania. The nominal pulse spacing for...

  10. 2010-2011 ARRA Lidar: Nueces 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 Nueces County, Texas. LiDAR data, and derivative...

  11. Parcels and Land Ownership, Published in 2011, Conejos County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Conejos County, CO. This metadata was auto-generated through the Ramona...

  12. Parcels and Land Ownership, Published in 2011, Phelps County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Phelps County, MO. This metadata was auto-generated through the Ramona GIS...

  13. Parcels and Land Ownership, Published in 2011, Phelps County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Phelps County, NE. This metadata was auto-generated through the Ramona GIS...

  14. Parcels and Land Ownership, Published in 2011, Colbert County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Colbert County, AL. This metadata was auto-generated through the Ramona GIS...

  15. Parcels and Land Ownership, Published in 2011, Walker County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Walker County, TX. This metadata was auto-generated through the Ramona GIS...

  16. Allegheny County Department of Public Works Maintenance District Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — If viewing this description on the Western Pennsylvania Regional Data Center’s open data portal (http://www.wprdc.org), this dataset is harvested on a weekly basis...

  17. Parcels and Land Ownership, Published in 2011, Butler County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2011. The extent of these data is generally Butler County, AL. This metadata was auto-generated through the Ramona GIS...

  18. VT Built Up Lands in Grand Isle County - 1977

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  19. VT Developed Lands in Grand Isle County - 2003

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...

  20. VT Built Up Lands in Grand Isle County - 1941

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) NRCS mapped historical and current-day built-up lands for Grand Isle County, VT using several vintages of aerial photography: 1941, 1962, 1974,...