WorldWideScience

Sample records for metamora lapeer county

  1. 78 FR 69437 - Landmarks Committee of the National Park System Advisory Board Meeting

    Science.gov (United States)

    2013-11-19

    ... Florida The Research Studio, Maitland, FL Indiana Duck Creek Aqueduct, Metamora, Franklin County, IN... Proposed Amendments to Existing Designations: Pennsylvania Andrew Wyeth Studio and Kuerner Farm, Chadds... open to the public. Pursuant to 36 CFR Part 65, any member of the public may file, for consideration by...

  2. An Agile Methodology for Implementing Service-Oriented Architecture in Small and Medium Sized Organizations

    Science.gov (United States)

    Laidlaw, Gregory

    2013-01-01

    The purpose of this study is to evaluate the use of Lean/Agile principles, using action research to develop and deploy new technology for Small and Medium sized enterprises. The research case was conducted at the Lapeer County Sheriff's Department and involves the initial deployment of a Service Oriented Architecture to alleviate the data…

  3. 78 FR 75676 - Mark W. Dobronski and Susan K. Dobronski-Acquisition of Control Exemption-Adrian & Blissfield...

    Science.gov (United States)

    2013-12-12

    ... Ferrovia, L.L.C. (Ferrovia), also a noncarrier and a limited liability company, which, until very recently... and Susan K. Dobronski--Acquisition of Control Exemption--Adrian & Blissfield Rail Road Company, Charlotte Southern Railroad Company, Detroit Connecting Railroad Company, Lapeer Industrial Railroad Company...

  4. 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...

  5. Case-control geographic clustering for residential histories accounting for risk factors and covariates

    Science.gov (United States)

    2006-01-01

    Background Methods for analyzing space-time variation in risk in case-control studies typically ignore residential mobility. We develop an approach for analyzing case-control data for mobile individuals and apply it to study bladder cancer in 11 counties in southeastern Michigan. At this time data collection is incomplete and no inferences should be drawn – we analyze these data to demonstrate the novel methods. Global, local and focused clustering of residential histories for 219 cases and 437 controls is quantified using time-dependent nearest neighbor relationships. Business address histories for 268 industries that release known or suspected bladder cancer carcinogens are analyzed. A logistic model accounting for smoking, gender, age, race and education specifies the probability of being a case, and is incorporated into the cluster randomization procedures. Sensitivity of clustering to definition of the proximity metric is assessed for 1 to 75 k nearest neighbors. Results Global clustering is partly explained by the covariates but remains statistically significant at 12 of the 14 levels of k considered. After accounting for the covariates 26 Local clusters are found in Lapeer, Ingham, Oakland and Jackson counties, with the clusters in Ingham and Oakland counties appearing in 1950 and persisting to the present. Statistically significant focused clusters are found about the business address histories of 22 industries located in Oakland (19 clusters), Ingham (2) and Jackson (1) counties. Clusters in central and southeastern Oakland County appear in the 1930's and persist to the present day. Conclusion These methods provide a systematic approach for evaluating a series of increasingly realistic alternative hypotheses regarding the sources of excess risk. So long as selection of cases and controls is population-based and not geographically biased, these tools can provide insights into geographic risk factors that were not specifically assessed in the case

  6. Case-control geographic clustering for residential histories accounting for risk factors and covariates

    Directory of Open Access Journals (Sweden)

    Goovaerts Pierre

    2006-08-01

    Full Text Available Abstract Background Methods for analyzing space-time variation in risk in case-control studies typically ignore residential mobility. We develop an approach for analyzing case-control data for mobile individuals and apply it to study bladder cancer in 11 counties in southeastern Michigan. At this time data collection is incomplete and no inferences should be drawn – we analyze these data to demonstrate the novel methods. Global, local and focused clustering of residential histories for 219 cases and 437 controls is quantified using time-dependent nearest neighbor relationships. Business address histories for 268 industries that release known or suspected bladder cancer carcinogens are analyzed. A logistic model accounting for smoking, gender, age, race and education specifies the probability of being a case, and is incorporated into the cluster randomization procedures. Sensitivity of clustering to definition of the proximity metric is assessed for 1 to 75 k nearest neighbors. Results Global clustering is partly explained by the covariates but remains statistically significant at 12 of the 14 levels of k considered. After accounting for the covariates 26 Local clusters are found in Lapeer, Ingham, Oakland and Jackson counties, with the clusters in Ingham and Oakland counties appearing in 1950 and persisting to the present. Statistically significant focused clusters are found about the business address histories of 22 industries located in Oakland (19 clusters, Ingham (2 and Jackson (1 counties. Clusters in central and southeastern Oakland County appear in the 1930's and persist to the present day. Conclusion These methods provide a systematic approach for evaluating a series of increasingly realistic alternative hypotheses regarding the sources of excess risk. So long as selection of cases and controls is population-based and not geographically biased, these tools can provide insights into geographic risk factors that were not specifically

  7. 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.

  8. Allegheny County Addressing Landmarks

    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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

    Science.gov (United States)

    2010-05-07

    ... DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice... Nye School Road northwest of Beloit, Rock County, Wisconsin to the interchange of Rockton Road and I...

  14. ROE County Data

    Data.gov (United States)

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

  15. 75 FR 49016 - County of Greenville, S.C.-Acquisition Exemption-Greenville County Economic Development Corporation

    Science.gov (United States)

    2010-08-12

    ... Greenville, S.C.--Acquisition Exemption--Greenville County Economic Development Corporation The County of... verified notice of exemption under 49 CFR 1150.31 to acquire from Greenville County Economic Development... System Act, 16 U.S.C. 1247(d). See Greenville County Economic Development Corporation--Abandonment and...

  16. Taos County Roads

    Data.gov (United States)

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

  17. Allegheny County 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...

  18. 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...

  19. Allegheny County Greenways

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Greenways data was compiled by the Allegheny Land Trust as a planning effort in the development of Allegheny Places, the Allegheny County Comprehensive Plan. The...

  20. 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...

  1. Allegheny County Supermarkets & Convenience Stores

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Location information for all Supermarkets and Convenience Stores in Allegheny County was produced using the Allegheny County Fee and Permit Data for 2016.

  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. 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...

  4. 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

  5. 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.

  6. Current status of Enterobius vermicularis infection in primary schoolchildren in Miaoli County and Taichung County, Taiwan.

    Science.gov (United States)

    Wang, Cheng-Chieh; Lee, Yuan-Fang; Chang, Chih-Cheng; Lee, Nie-Sue; Chen, Po-Yen; Huang, Fang-Liang; Liou, Nuo-Wei

    2009-10-01

    No epidemiological survey of the prevalence of Enterobius vermicularis infection in Miaoli County and Taichung County has been conducted. This epidemiological survey was performed to describe the profile of E. vermicularis infection in schoolchildren in Miaoli County and Taichung County. The first part of this study was conducted between November 2005 and February 2006 in Miaoli County. 44,071 primary schoolchildren from 18 districts were examined by 2 consecutive-day adhesive cellophane perianal swabs to estimate the infection rate. The second part was performed between October 2006 and January 2007 in Taichung County. 24,382 primary schoolchildren from 14 districts were examined. In Miaoli County, the infection rate was 2.39% (1054/44,071). The infection rate was highest in the Taian (6.69%; 20/299), Shytarn (4.49%; 11/245), and Dahu townships (3.6%; 40/1111). In Taichung County, the infection rate was 2.95% (720/24,382). The infection rate was highest in the Da-an (5.46%; 26/476) and Heping townships (4.48%; 9/201). The infection rate for a family with > or =3 children was significantly higher than that for a family with pinworm infection among the groups surveyed.

  7. Census County Subdivisions for the United States Virgin Islands (CENSUS.COUNTY_SUBDIV_USVI)

    Data.gov (United States)

    U.S. Environmental Protection Agency — County subdivisions are the primary divisions of counties and statistically equivalent entities for the reporting of decennial census data. They include census...

  8. 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...

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

    Science.gov (United States)

    2016-03-01

    management strategies and alternatives are actively coordinated. DISCLAIMER: The contents of this report are not to be used for advertising , publication... Strategies and Recommendations for Nassau County and Duval County, Florida Co as ta l a nd H yd ra ul ic s La bo ra to ry Kevin C. Hodgens, Michael...Sediment Management Implementation Strategies and Recommendations for Nassau County and Duval County, Florida Kevin C. Hodgens and Michael P

  10. 75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

    Science.gov (United States)

    2010-05-12

    ... Project, Clarke County, IA AGENCY: Natural Resources Conservation Service. ACTION: Notice of intent to... Conservationist for Planning, 210 Walnut Street, Room 693, Des Moines, IA 50309-2180, telephone: 515-284- 4769... available at the Iowa NRCS Web site at http://www.ia.nrcs.usda.gov . A map of the Clarke County Water Supply...

  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 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...

  13. Allegheny County Depression Medication

    Data.gov (United States)

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

  14. Allegheny County 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 2016. Fields include injury severity,...

  15. 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 2017. Fields include injury severity,...

  16. 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...

  17. 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,...

  18. 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,...

  19. 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...

  20. County and Parish Boundaries, This was created and maintained by Johnson County Records and Tax Administration and is updated when changes occur to county boundaries, Published in 2007, Johnson County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — County and Parish Boundaries dataset current as of 2007. This was created and maintained by Johnson County Records and Tax Administration and is updated when changes...

  1. 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,…

  2. 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...

  3. 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...

  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 Smoking Rates

    Data.gov (United States)

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

  6. Allegheny County 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...

  7. 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...

  8. 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...

  9. 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....

  10. Allegheny County Employee Salaries

    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...

  11. Allegheny County Asbestos Permits

    Data.gov (United States)

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

  12. Allegheny County 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...

  13. 75 FR 13297 - Southeastern Lincoln County Habitat Conservation Plan, Lincoln County, NV

    Science.gov (United States)

    2010-03-19

    ... development), flood control activities (within the City of Caliente), maintenance of Lincoln County roads and... library locations: (1) Clark County Library, 1401 E. Flamingo Road, Las Vegas, NV 89119; (702) 507-3400.... 1538(a)(1)(B)). The term ``take'' means to harass, harm, pursue, hunt, shoot, wound, kill, trap...

  14. Development Track of Different County-Level Towns

    OpenAIRE

    ZHANG, Haijiao; ZHANG, Zhenghe

    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 ...

  15. 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...

  16. 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.

  17. Allegheny County Snow Route Centerlines (2017-2018)

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset shows snow route responsibilities of Allegheny County-owned roads.Category: TransportationOrganization: Allegheny CountyDepartment: Geographic...

  18. 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...

  19. COMPARATIVE ANALYSIS OF THE GORJ COUNTY OF SOCIO-ECONOMIC WITH NEIGHBORING COUNTIES IN CRISIS

    Directory of Open Access Journals (Sweden)

    CONSTANTA ENEA

    2012-05-01

    Full Text Available Purpose of the paper is to highlight how the economy evolved in the Florida county comparison with neighboring counties in economic crisis that society through the difficult years. also study and make acomparison in terms of demographic characteristics, respectively, compared between young and old, labor migration, etc. form., indices that are decisive for evaluating the economic situation of the county above mentioned. Economically, the county is in the connection between the economy and sub-mountainous and mountainous plains. The specificity of its resources, Gorj is a leading energy suppliers of the country, both as primary energy (coal, oil and processed (heat and electricity1. Results and statistical sources that Gorj currently produces more than 20% of the thermoelectric power of2. In terms of population below national averages Gorj is the fourth in the region after Olt and Valcea. Is medium in size, being the third after Dolj and Valcea. In terms of urbanization, Gorj is below the national average and third in the region after Dolj and Mehedinti. After the general level of development, the county is in a less favorable position, because the permanent part is characterized by a lower level of development.

  20. Low-Wage Counties Face Locational Disadvantages.

    Science.gov (United States)

    Gibbs, Robert; Cromartie, John B.

    2000-01-01

    Small populations and remoteness are the most salient features of low-wage counties. These locational attributes coincide with fewer high-wage jobs, yet low wages within industries define low-wage counties more than industry composition. Although adults in low-wage counties have less education and labor force participation overall, the role played…

  1. Strategy for Promoting the Equitable Development of Basic Education in Underdeveloped Counties as Seen from Cili County

    Science.gov (United States)

    Shihua, Peng; Rihui, Tan

    2009-01-01

    Employing statistical analysis, this study has made a preliminary exploration of promoting the equitable development of basic education in underdeveloped counties through the case study of Cili county. The unequally developed basic education in the county has been made clear, the reasons for the inequitable education have been analyzed, and,…

  2. Curry County E-911 Roads

    Data.gov (United States)

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

  3. Allegheny County 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. 2007 Lake County Board of County Commissioners Topographic LiDAR: Lake County, Florida

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata document describes the LiDAR point data in LAS format produced by Kucera covering the project area of Lake County, FL. The data produced is...

  5. 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...

  6. Statement of Kenneth E. Yager, County Executive, Roane County, TN

    International Nuclear Information System (INIS)

    Anon.

    1987-01-01

    I am Ken Yager, I am the county executive for Roane County, TN which is the preferred site for the proposed Monitored Retrieval Storage facility, or the MRS. and I am submitting into the record additional written testimony which was written largely by the Honorable Robert Peele, who is sitting here, who is a member of the Roane County Board of Commissioners, our local legislative body. The premise of my remarks is that the Department of Energy proposal for the MRS in our county in unacceptable unless the Congress and the Department of Energy are to be willing partners with the local communities. Our considerations have been limited to: one, can an MRS be operated safely, and if so under what conditions; and what would be the impacts of the facility and how might they be mitigated. Our recommendations on those two points lead me to my earlier comment about being partners with the Congress, because our recommendations can be summed up simply, Mr. Chairman, as local control. We are exceedingly concerned about the prospect of being trapped in a national squeeze play, caught between a recognized need for a way to deal with nuclear waste and intense political efforts to put that problem in somebody else's back yard. And if we are to be that back yard, we would ask that the Congress and the Department of Energy recognize our stake in this national effort. We must have an equal role in the process

  7. Allegheny County-Owned Roads Centerlines

    Data.gov (United States)

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

  8. Allegheny County 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...

  9. 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...

  10. 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...

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

  12. 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...

  13. DOT Official County Highway Map

    Data.gov (United States)

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

  14. 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...

  15. 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...

  16. 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...

  17. 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...

  18. Allegheny County Primary Care Access

    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...

  19. 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...County Unamounoed 13 Industrial Development Association of Cheyenne- justifloatio Laramie County (IDAC-LC) Greater Cheyenne Chamber of Commerce (GCCC...February 10-21, 1986, in the Greater Cheyenne Chamber of Commerce offices. With a few excep- tions, BBC project team leaders met with each person

  20. 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...

  1. 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 2013 in Allegheny County, PA. Before doing any market analysis on property sales, check...

  2. 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...

  3. Allegheny County Jail Daily Census

    Data.gov (United States)

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

  4. 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.

  5. Providing engineering services to counties.

    Science.gov (United States)

    2008-09-01

    An engineer is required by law to safeguard the health, safety and welfare of the public. The current Kansas : statute state, The Board of County Commissioners of each county shall appoint a licensed professional : engineer, whose title shall be c...

  6. Program of Education for Community Coordination and Action in Warren County: What Kind of a County Do We Want Warren County To Be?

    Science.gov (United States)

    Koontz, Donald H.; Wallerstedt, Jane

    A program initiated by Simpson College and assisted by a committee of representatives from Warren County, Iowa, to assist the population of the County to understand their community and its problems and set priorities in meeting these problems is reported. Two hundred key leaders, representative of the geographic, educational, economic, religious,…

  7. 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

  8. 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.

  9. Characteristics of the Las Vegas/Clark County visitor economy

    International Nuclear Information System (INIS)

    1988-06-01

    The purpose of this report is to present the results of a review of the Clark County visitor economy and the Clark County visitor. The review, undertaken in support of NWPO's two objectives mentioned above, addressed a number of topics including performance of the Clark County visitor economy as a generator of employment, earnings and tax base; importance of the Clark County visitor economy to the Nevada economy as a whole; elements of the Clark County visitor economy outside the Las Vegas strip and downtown areas; current trends in the Clark County visitor industry; and indirect economic effects of Clark County casino/hotel purchases

  10. 76 FR 8808 - Supplemental Final Environmental Impact Statement: Clark County, Indiana, and Jefferson County, KY

    Science.gov (United States)

    2011-02-15

    ..., financing, construction, operation and oversight of the Project, and an update to the major project finance... Indiana Ohio River Bridges (Project) in Clark County, Indiana and Jefferson County, Kentucky. FOR FURTHER INFORMATION CONTACT: Mr. Duane Thomas, Project Manager, Federal Highway Administration, John C. Watts Federal...

  11. Constraints of Implementing Free Secondary Education in Mandera West Sub-County, Mandera County, Kenya

    Science.gov (United States)

    Adan, Mohammed Abdi; Orodho, John Aluko

    2015-01-01

    This study sought to find out the constraints of implementing free secondary education (FSE) in secondary schools in Mandera West Sub-County, Mandera County, Kenya. The study is based on the theory of constraints as the researcher examines the factors constraining the achievement of FSE objectives. The study used the survey design. The main…

  12. Correct county areas with sidebars for Virginia

    Science.gov (United States)

    Joseph M. McCollum; Dale Gormanson; John Coulston

    2009-01-01

    Historically, Forest Inventory and Analysis (FIA) has processed field inventory data at the county level and county estimates of land area were constrained to equal those reported by the Census Bureau. Currently, the Southern Research Station FIA unit processes field inventory data at the survey unit level (groups of counties with similar ecological characteristics)....

  13. Geothermal direct-heat study: Imperial County, California

    Energy Technology Data Exchange (ETDEWEB)

    1983-05-01

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

  14. The flora of Oktibbeha County, Mississippi

    Science.gov (United States)

    Leidolf, A.; McDaniel, S.; Nuttle, T.

    2002-01-01

    We surveyed the flora of Oktibbeha County, Mississippi, U.S.A., from February 1994 to 1996. Occupying 118 square kilometers in east-central Mississippi, Oktibbeha County lies among 3 physiographic regions that include, from west to east, Interior Flatwoods, Pontotoc Ridge, and Black Prairie. Accordingly, the county harbors a diverse flora. Based on field work, as well as an extensive review of published literature and herbarium records at IBE and MISSA, we recorded a total of 1,148 taxa (1,125 species, 7 hybrids, 16 infraspecific taxa) belonging to 514 genera in 160 families, over 85% of all taxa documented were native. Compared to 3 other counties in east-central Mississippi, Oktibbeha County has the second largest recorded flora. The number of state-listed (endangered, threatened, or of special concern) taxa (67) documented in this survey far exceeds that reported from any other county in the region. Three introduced species, Ilex cornuta Lindl. & Paxton, Mahonia bealei (Fortune) Carrie??re, and Nandina domestica Thunb., are reported in a naturalized state for the first time from Mississippi. We also describe 16 different plant communities belonging to 5 broad habitat categories: bottomland forests, upland forests and prairies, aquatic habitats, seepage areas, and human-influenced habitats. A detailed description of the vegetation associated with each of these communities is provided.

  15. 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…

  16. Rural migration in Nevada: Lincoln County

    International Nuclear Information System (INIS)

    Soden, D.L.; Carns, D.E.; Mosser, D.; Conary, J.S.; Ansell, J.P.

    1993-01-01

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

  17. 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)

  18. 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...

  19. 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,...

  20. 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...

  1. Final Scientific/Technical Report for DOE/EERE Comprehensive Community Renewable Energy Implementation Plan in Forest County and Milwaukee County

    Energy Technology Data Exchange (ETDEWEB)

    Karman, Nathan [Forest County Potawatomi Community, Crandon, WI (United States)

    2014-06-27

    Forest County Potawatomi Community (the “Community”) sought and obtained Community Renewable Energy Deployment funding from the Department of Energy to evaluate and implement a diverse number of renewable energy technologies throughout its lands held in trust or owned in fee simple in Forest County and Milwaukee County (the “Project”). The technologies and sites evolved during the Project, ultimately leading to the investigation of biomass and solar projects on the Community’s reservation in Forest County, as well as the investigation and eventual deployment of a solar project and an anaerobic digestion and biogas project on Community lands in Milwaukee.

  2. 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...

  3. 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.

  4. Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?

    Science.gov (United States)

    Tamayao, M. M.; Blackhurst, M. F.; Matthews, H. S.

    2014-10-01

    Recent sustainability research has focused on urban systems given their high share of environmental impacts and potential for centralized impact mitigation. Recent research emphasizes descriptive statistics from place-based case studies to argue for policy action. This limits the potential for general insights and decision support. Here, we implement generalized linear and multiple linear regression analyses to obtain more robust insights on the relationship between urbanization and greenhouse gas (GHG) emissions in the US We used consistently derived county-level scope 1 and scope 2 GHG inventories for our response variable while predictor variables included dummy-coded variables for county geographic type (central, outlying, and nonmetropolitan), median household income, population density, and climate indices (heating degree days (HDD) and cooling degree days (CDD)). We find that there is not enough statistical evidence indicating per capita scope 1 and 2 emissions differ by geographic type, ceteris paribus. These results are robust for different assumed electricity emissions factors. We do find statistically significant differences in per capita emissions by sector for different county types, with transportation and residential emissions highest in nonmetropolitan (rural) counties, transportation emissions lowest in central counties, and commercial sector emissions highest in central counties. These results indicate the importance of regional land use and transportation dynamics when planning local emissions mitigation measures.

  5. Do US metropolitan core counties have lower scope 1 and 2 CO2 emissions than less urbanized counties?

    International Nuclear Information System (INIS)

    Tamayao, M M; Matthews, H S; Blackhurst, M F

    2014-01-01

    Recent sustainability research has focused on urban systems given their high share of environmental impacts and potential for centralized impact mitigation. Recent research emphasizes descriptive statistics from place-based case studies to argue for policy action. This limits the potential for general insights and decision support. Here, we implement generalized linear and multiple linear regression analyses to obtain more robust insights on the relationship between urbanization and greenhouse gas (GHG) emissions in the US We used consistently derived county-level scope 1 and scope 2 GHG inventories for our response variable while predictor variables included dummy-coded variables for county geographic type (central, outlying, and nonmetropolitan), median household income, population density, and climate indices (heating degree days (HDD) and cooling degree days (CDD)). We find that there is not enough statistical evidence indicating per capita scope 1 and 2 emissions differ by geographic type, ceteris paribus. These results are robust for different assumed electricity emissions factors. We do find statistically significant differences in per capita emissions by sector for different county types, with transportation and residential emissions highest in nonmetropolitan (rural) counties, transportation emissions lowest in central counties, and commercial sector emissions highest in central counties. These results indicate the importance of regional land use and transportation dynamics when planning local emissions mitigation measures. (letter)

  6. Ground-water resources of Kleberg County, Texas

    Science.gov (United States)

    Livingston, Penn Poore; Bridges, Thomas W.

    1936-01-01

    Abundant supplies of fresh water are obtained from deep artesian wells In all parts of Kleberg County. The water is derived from a stratum of sand, 10 to 150 feet thick, which usually has been referred to the Goliad sand but possibly may be at the base of the LIssie formation. The top of the sand Is reached at depths of around 400 feet In the western part of the county, 600 to 700 feet In the locality of Klngsville, and 1,250 to 1,450 feet In the eastern part of the county. Small supplies of fairly good water are obtained from shallow wells In very sandy areas in the eastern and southern parts of the county, but with this exception, so far as known, no good water has been obtained In the county either above or below the artesian fresh-water horizon.

  7. 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,...

  8. Counties eliminating racial disparities in colorectal cancer mortality.

    Science.gov (United States)

    Rust, George; Zhang, Shun; Yu, Zhongyuan; Caplan, Lee; Jain, Sanjay; Ayer, Turgay; McRoy, Luceta; Levine, Robert S

    2016-06-01

    Although colorectal cancer (CRC) mortality rates are declining, racial-ethnic disparities in CRC mortality nationally are widening. Herein, the authors attempted to identify county-level variations in this pattern, and to characterize counties with improving disparity trends. The authors examined 20-year trends in US county-level black-white disparities in CRC age-adjusted mortality rates during the study period between 1989 and 2010. Using a mixed linear model, counties were grouped into mutually exclusive patterns of black-white racial disparity trends in age-adjusted CRC mortality across 20 three-year rolling average data points. County-level characteristics from census data and from the Area Health Resources File were normalized and entered into a principal component analysis. Multinomial logistic regression models were used to test the relation between these factors (clusters of related contextual variables) and the disparity trend pattern group for each county. Counties were grouped into 4 disparity trend pattern groups: 1) persistent disparity (parallel black and white trend lines); 2) diverging (widening disparity); 3) sustained equality; and 4) converging (moving from disparate outcomes toward equality). The initial principal component analysis clustered the 82 independent variables into a smaller number of components, 6 of which explained 47% of the county-level variation in disparity trend patterns. County-level variation in social determinants, health care workforce, and health systems all were found to contribute to variations in cancer mortality disparity trend patterns from 1990 through 2010. Counties sustaining equality over time or moving from disparities to equality in cancer mortality suggest that disparities are not inevitable, and provide hope that more communities can achieve optimal and equitable cancer outcomes for all. Cancer 2016;122:1735-48. © 2016 American Cancer Society. © 2016 American Cancer Society.

  9. 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...

  10. Environmental assessment: Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    1986-05-01

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

  11. Environmental assessment: Deaf Smith County site, Texas

    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.

  12. 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 ...

  13. Water resources of King County, Washington

    Science.gov (United States)

    Richardson, Donald; Bingham, J.W.; Madison, R.J.; Williams, R.

    1968-01-01

    Although the total supply of water in King County is large, water problems are inevitable because of the large and rapidly expanding population. The county contains a third of the 3 million people in Washington, most of the population being concentrated in the Seattle metropolitan area. King County includes parts of two major physiographic features: the western area is part of the Puget Sound Lowland, and the eastern area is part of the Cascade Range. In these two areas, the terrain, weather, and natural resources (including water) contrast markedly. Average annual precipitation in the county is about 80 inches, ranging from about 30 inches near Puget Sound to more than 150 inches in parts of the Cascades. Annual evapotranspiration is estimated to range from 15 to 24 inches. Average annual runoff ranges from about 15 inches in the lowlands to more than 100 inches in the mountains. Most of the streamflow is in the major basins of the county--the Green-Duwamish, Lake Washington, and Snoqualmie basins. The largest of these is the Snoqualmie River basin (693 square miles), where average annual runoff during the period 1931-60 was about 79 inches. During the same period, annual runoff in the Lake Washington basin ( 607 square miles) averaged about 32 inches, and in the Green-Duwamish River basin (483 square miles), about 46 inches. Seasonal runoff is generally characterized by several high-flow periods in the winter, medium flows in the spring, and sustained low flows in the summer and fall. When floods occur in the county they come almost exclusively between October and March. The threat of flood damage is greatest on the flood plaits of the larger rivers, but in the Green-Duwamish Valley the threat was greatly reduced with the completion of Howard A. Hanson Dam in 1962. In the Snoqualmie River basin, where no such dam exists, the potential damage from a major flood increases each year as additional land is developed in the Snoqualmie Valley. 0nly moderate amounts of

  14. Edentulism in high poverty rural counties.

    Science.gov (United States)

    Mitchell, Jordan; Bennett, Kevin; Brock-Martin, Amy

    2013-01-01

    To examine the differences in oral health status among residents of high-poverty counties, as compared to residents of other rural or urban counties, specifically on the prevalence of edentulism. We used the 2005 Behavioral Risk Factor Surveillance System (BRFSS) and the 2006 Area Resource File (ARF). All analyses were conducted with SAS and SAS-callable SUDAAN, in order to account for weighting and the complex sample design. Characteristics significantly related to edentulism include: geographic location, gender, race, age, health status, employment, insurance, not having a usual source of care, education, marital status, presence of chronic disease, having an English interview, not deferring care due to cost, income, and dentist saturation within the county. Significant associations between high-poverty rural and other rural counties and edentulism were found, and other socioeconomic and health status indicators remain strong predictors of edentulism. © 2012 National Rural Health Association.

  15. 7 CFR 7.10 - Conduct of county convention.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 1 2010-01-01 2010-01-01 false Conduct of county convention. 7.10 Section 7.10 Agriculture Office of the Secretary of Agriculture SELECTION AND FUNCTIONS OF AGRICULTURAL STABILIZATION AND... other purpose. (e) The county committee shall give advance public notice of the county convention which...

  16. 7 CFR 1230.634 - FSA county office report.

    Science.gov (United States)

    2010-01-01

    ... Agriculture Regulations of the Department of Agriculture (Continued) AGRICULTURAL MARKETING SERVICE (MARKETING... 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...

  17. School Progress Report 2012. Montgomery County Public Schools

    Science.gov (United States)

    Montgomery County Public Schools, 2013

    2013-01-01

    The 2012 School Progress Report for Montgomery County Public Schools (MCPS) provides state, county, and individual school performance data, as well as information on student attendance, high school graduation rates, and the professional qualifications of teachers at the state, district, and school levels. Montgomery County primary schools are…

  18. 76 FR 4254 - Irish Potatoes Grown in Certain Designated Counties in Idaho, and Malheur County, Oregon...

    Science.gov (United States)

    2011-01-25

    ... Service 7 CFR Part 945 [Doc. No. AMS-FV-10-0109; FV11-945-1] Irish Potatoes Grown in Certain Designated... among eligible producers of Irish potatoes in certain designated counties in Idaho, and Malheur County... Irish potatoes grown in the production area. DATES: The referendum will be conducted from March 5 to...

  19. Educational and Demographic Profile: Mariposa 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 Mariposa 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…

  20. 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...

  1. 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...

  2. 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.

  3. 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.

  4. Environmental assessment: Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    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

  5. Ground water in Creek County, Oklahoma

    Science.gov (United States)

    Cady, Richard Carlysle

    1937-01-01

    Creek County has been designated as a problem area by the Land Use Planning Section of the Resettlement Administration. Some of the earliest oil fields to brought into production were situated in and near this county, and new fields have been opened from time to time during the ensuing years. The production of the newer fields, however, has not kept pace with the exhaustion of the older fields, and the county now presents an excellent picture of the problems involved in adjusting a population to lands that are nearly depleted of their mineral wealth. Values of land have been greatly depressed; tax collection is far in arrears; tenancy is widespread; and in addition more people will apparently be forced to depend on the income from agriculture than the land seems capable of supporting. The county as a whole is at best indifferently suitable for general farming. The Land Use planning Section proposes to study the present and seemingly immanent maladjustments of population to the resources of the land, and make recommendations for their correction. The writer was detailed to the Land Use Planning Section of Region VIII for the purposes of making studies of ground water problems in the region. In Creek County two investigations were made. In September, 1936, the writer spent about ten days investigating the availability of ground water for the irrigation of garden crops during drouths. If it proved feasible to do this generally throughout the county, the Land Use Planning Section might be able to encourage this practice. The second investigation made by the writer was in regard to the extent to which ground water supplies have been damaged by oil well brines. He was in county for four days late in January 1937, and again in March, 1937. During part of the second field trip he was accompanied by R.M. Dixon, sanitary engineer of the Water Utilization Unit of the Resettlement Administration. (available as photostat copy only)

  6. 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.

  7. 2010 South Carolina DNR Lidar: Richland County

    Data.gov (United States)

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

  8. 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.

  9. 76 FR 41755 - Eastern Arizona Counties Resource Advisory; Meeting

    Science.gov (United States)

    2011-07-15

    ... DEPARTMENT OF AGRICULTURE Forest Service Eastern Arizona Counties Resource Advisory; Meeting AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Eastern Arizona Counties Resource... FURTHER INFORMATION CONTACT: Julia Faith Rivera, RAC Program Manager, Eastern Arizona Counties Resource...

  10. Port Authority of Allegheny County Transit Stops

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — All transit stops within the Port Authority of Allegheny County's service area for the November 20, 2016 - March (TBD) 2017 schedule period.

  11. 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

  12. 76 FR 28210 - Eastern Arizona Counties Resource Advisory Committee

    Science.gov (United States)

    2011-05-16

    ... DEPARTMENT OF AGRICULTURE Forest Service Eastern Arizona Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Eastern Arizona Counties will meet...: Julia Faith Rivera, RAC Program Manager, Eastern Arizona Counties Resource Advisory Committee, Apache...

  13. Ground-water resources data for Baldwin County, Alabama

    Science.gov (United States)

    Robinson, James L.; Moreland, Richard S.; Clark, Amy E.

    1996-01-01

    Geologic and hydrologic data for 237 wells were collected, and water-levels in 223 wells in Baldwin and Escambia Counties were measured. Long-term water water-level data, available for many wells, indicate that ground-water levels in most of Baldwin County show no significant trends for the period of record. However, ground-water levels have declined in the general vicinity of Spanish Fort and Daphne, and ground-water levels in the Gulf Shores and Orange Beach areas are less than 5 feet above sea level in places. The quality of ground water generally is good, but problems with iron, sulfur, turbidity, and color occur. The water from most private wells in Baldwin County is used without treatment or filtration. Alabama public- health law requires that water from public-supply wells be chlorinated. Beyond that, the most common treatment of ground water by public-water suppliers in Baldwin County consists of pH adjustment, iron removal, and aeration. The transmissivity of the Miocene-Pliocene aquifer was determined at 10 locations in Baldwin County. Estimates of transmissivity ranged from 700 to 5,400 feet squared per day. In general, aquifer transmissivity was greatest in the southeastern part of the county, and least in the western part of the county near Mobile Bay. A storage coefficient of 1.5 x 10-3 was determined for the Miocene-Pliocene aquifer near Loxley.

  14. Influence of Urbanicity and County Characteristics on the ...

    Science.gov (United States)

    Background: Air pollution epidemiology studies, often conducted in large metropolitan areas due to proximity to regulatory monitors, are limited in their ability to examine potential associations between air pollution exposures and health effects in rural locations. Methods: In a time-stratified case-crossover framework, we examined associations between asthma emergency department (ED) visits in North Carolina (2006-2008) collected by a surveillance system, and short-term ozone exposures using predicted concentrations from the Community Multiscale Air Quality (CMAQ) model. Associations were estimated by county groupings based on four urbanicity classifications (representative of county size and urban proximity) and county health. Results: Ozone was associated with asthma ED visits in all-year and warm season (April-October) analyses [Odds Ratio (OR) =1.019; 95% CI: 0.998, 1.040; OR=1.020; 95% CI: 0.997, 1.044, respectively, for a 20 ppb increase in lag 0-2 days ozone]. The association was strongest in Less Urbanized counties, with no evidence of a positive association in Rural counties. Associations were similar when adjusted for fine particulate matter in copolluant models. Associations were stronger for children (5-17 years of age) compared with other age groups, and for individuals living in counties with poorer health status compared with counties that had the highest health rankings, although estimated associations for these subgroups were imprecise. Conclu

  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 (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...

  17. 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...

  18. 76 FR 7809 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2011-02-11

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource.... The purpose of the meeting is to convene the Tuolumne-Mariposa Counties Resource Advisory Committee...

  19. Geology and ground-water resources of Outagamie County, Wisconsin

    Science.gov (United States)

    LeRoux, E.F.

    1957-01-01

    Outagamie County is in east-central Wisconsin. It has no serious groundwater problem at present, but the county is important as a recharge area for the principal aquifers supplying water to Brown County and industrial Green Bay to the east.

  20. 75 FR 18145 - Eastern Arizona Counties Resource Advisory Committee

    Science.gov (United States)

    2010-04-09

    ... DEPARTMENT OF AGRICULTURE Forest Service Eastern Arizona Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Eastern Arizona Counties Resource... Rivera, Coordinator, Eastern Arizona Counties Resource Advisory Committee, c/o Forest Service, USDA, P.O...

  1. The Farm Crisis and Decatur County.

    Science.gov (United States)

    Flora, Jan L.; And Others

    This case study assesses the impact of the farm sector on the economy and social organization of Decatur County (Kansas), a county which has historically depended on agriculture for its livelihood. Data were obtained from analysis of time series statistical indicators for the period between 1966 and 1984, questionnaire responses of local…

  2. Allegheny County Polling Place Locations (November 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...

  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 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...

  5. Cancer screening delivery in persistent poverty rural counties.

    Science.gov (United States)

    Bennett, Kevin J; Pumkam, Chaiporn; Bellinger, Jessica D; Probst, Janice C

    2011-10-01

    Rural populations are diagnosed with cancer at different rate and stages than nonrural populations, and race/ethnicity as well as the area-level income exacerbates the differences. The purpose of this analysis was to explore cancer screening rates across persistent poverty rural counties, with emphasis on nonwhite populations. The 2008 Behavioral Risk Factor Surveillance System was used, combined with data from the Area Resource File (analytic n = 309 937 unweighted, 196 344 347 weighted). Unadjusted analysis estimated screening rates for breast, cervical, and colorectal cancer. Multivariate analysis estimated the odds of screening, controlling for individual and county-level effects. Rural residents, particularly those in persistent poverty counties, were less likely to be screened than urban residents. More African Americans in persistent poverty rural counties reported not having mammography screening (18.3%) compared to 15.9% of urban African Americans. Hispanics had low screening rates across all service types. Multivariate analysis continued to find disparities in screening rates, after controlling for individual and county-level factors. African Americans in persistent poverty rural counties were more likely to be screened for both breast cancer (odds ratio, 1.44; 95% confidence interval, 1.12-1.85) and cervical cancer (1.46; 1.07-1.99) when compared with urban whites. Disparities in cancer screening rates exist across not only race/ethnicity but also county type. These disparities cannot be fully explained by either individual or county-level effects. Programs have been successful in improving screening rates for African American women and should be expanded to target other vulnerable women as well as other services such as colorectal cancer screening.

  6. 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. Water-quality 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 drinking water 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

  7. Environmental assessment overview, Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    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 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. On the basis of these findings, the DOE is nominating the Deaf Smith County site as one of five sites suitable for characterization. 3 figs

  8. VT 1990 Census County Boundaries and Statistics

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) DemoCensus_CNTY1990 is derived from BoundaryCounty_CNTY250. BoundaryCounty_CNTY250 was derived from BoundaryTown_TB250 (TB250 was archived 6/2003...

  9. Hotel room suicide: Las Vegas and Clark County.

    Science.gov (United States)

    Gemar, Kjersti; Zarkowski, Paul; Avery, David

    2008-01-01

    Our objective is to study the link between hotel registration and suicide. Clark County, which contains Las Vegas, drew our interest because of its extremely large number of hotel rooms. Case files of suicide from the Clark County Coroner were reviewed for years 2003-2005. The suicide rate of local residents registering in local hotels was 271/100,000. This is greater than the suicide rate in the general population of Clark County, 16.6/100,000, PHotel guests from outside Clark County had a reduced rate of suicide, 4.6/100,000, Photels have an increased suicide risk that is statistically significant. Possible explanations for the results are provided.

  10. Broward County Employers' Training Needs Assessment.

    Science.gov (United States)

    Mehallis, Mantha Vlahos

    An assessment of the training needs of Broward County, Florida, employers was conducted: (1) to determine the existing training needs of large businesses, industrial firms, and local units of government; (2) to determine which educational agencies in the county could fulfill these needs; and (3) to inform the companies of the results in order to…

  11. County Library Service to Rural Schools. Bulletin, 1930, No. 20

    Science.gov (United States)

    Lathrop, Edith A.

    1930-01-01

    An efficient county library contemplates maximum service for money expended. Situated at the county seat or at some other centrally located place within the county, its book stock is carried to every resident of the county through a system branches, stations, and school deposits, and the services of an automobile and the parcel post. A trained…

  12. Hydrogeology and groundwater quality of Highlands County, Florida

    Science.gov (United States)

    Spechler, Rick M.

    2010-01-01

    Groundwater is the main source of water supply in Highlands County, Florida. As the demand for water in the county increases, additional information about local groundwater resources is needed to manage and develop the water supply effectively. To address the need for additional data, a study was conducted to evaluate the hydrogeology and groundwater quality of Highlands County. Total groundwater use in Highlands County has increased steadily since 1965. Total groundwater withdrawals increased from about 37 million gallons per day in 1965 to about 107 million gallons per day in 2005. Much of this increase in water use is related to agricultural activities, especially citrus cultivation, which increased more than 300 percent from 1965 to 2005. Highlands County is underlain by three principal hydrogeologic units. The uppermost water-bearing unit is the surficial aquifer, which is underlain by the intermediate aquifer system/intermediate confining unit. The lowermost hydrogeologic unit is the Floridan aquifer system, which consists of the Upper Floridan aquifer, as many as three middle confining units, and the Lower Floridan aquifer. The surficial aquifer consists primarily of fine-to-medium grained quartz sand with varying amounts of clay and silt. The aquifer system is unconfined and underlies the entire county. The thickness of the surficial aquifer is highly variable, ranging from less than 50 to more than 300 feet. Groundwater in the surficial aquifer is recharged primarily by precipitation, but also by septic tanks, irrigation from wells, seepage from lakes and streams, and the lateral groundwater inflow from adjacent areas. The intermediate aquifer system/intermediate confining unit acts as a confining layer (except where breached by sinkholes) that restricts the vertical movement of water between the surficial aquifer and the underlying Upper Floridan aquifer. The sediments have varying degrees of permeability and consist of permeable limestone, dolostone, or

  13. 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,...

  14. 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...

  15. 75 FR 71069 - Big Horn County Resource Advisory Committee

    Science.gov (United States)

    2010-11-22

    ....us , with the words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

  16. 76 FR 26240 - Big Horn County Resource Advisory Committee

    Science.gov (United States)

    2011-05-06

    ... words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668. All comments... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

  17. County Boundaries clipped to shoreline from Teleatlas, NA for Regions 1, 2 and 3 in EPA Region 2 Oracle/Spatial/SDE Database [TANA.COUNTY

    Data.gov (United States)

    U.S. Environmental Protection Agency — R2GIS Combined county boundary data from TANA, Navteq and Census: TANA county boundaries.(static.R2GIS.TANA_BOUNDARY_COUNTY) for all of Region 2 except the Virgin...

  18. [Comprehensive evaluation of county-level construction land intensive utility in Guangdong province: a case study for Zijin County].

    Science.gov (United States)

    Zhang, Jun-Ping; Hu, Yue-Ming; Tian, Yuan; Wang, Lu; Liu, Su-Ping

    2010-02-01

    Based on the weights and membership values of evaluation indices, a measurement model of construction land intensive utility in Zijin County of Guangdong Province was established, and the basic principles of the greatest compatible class were adopted to classify the intensive utility levels of the construction land based on fuzzy recognition. Additionally, the intensive utility potential of construction land in Zijin County in 2005 was calculated by comparing the per capita construction land in towns, independent industrial and mining areas, and rural residential areas with the latest national land use standards for planning of town launched in 2007. The predicted value of the model was 0.421, suggesting that the construction land utility in Zijin County was still low- effective and extensive. Theoretically, the construction land area could be decreased by 555.69-2197.69 hm2, which meant there was a great potential in the intensive utility of construction land in the county.

  19. 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.

  20. Tourism impacts of Three Mile Island and other adverse events: Implications for Lincoln County and other rural counties bisected by radioactive wastes intended for Yucca Mountain

    Energy Technology Data Exchange (ETDEWEB)

    Himmelberger, J.J.; Ogneva-Himmelberger, Y.A. [Clark Univ., Worcester, MA (United States); Baughman, M. [Interech Services Corporation, Carson City, NV (United States)

    1995-11-01

    Whether the proposed Yucca Mountain nuclear waste repository system will adversely impact tourism in southern Nevada is an open question of particular importance to visitor-oriented rural counties bisected by planned waste transportation corridors (highway or rail). As part of one such county`s repository impact assessment program, tourism implications of Three Mile Island (TMI) and other major hazard events have been revisited to inform ongoing county-wide socioeconomic assessments and contingency planning efforts. This paper summarizes key research implications of such research as applied to Lincoln County, Nevada. Implications for other rural counties are discussed in light of the research findings. 29 refs., 3 figs., 1 tab.

  1. Patterns of gun deaths across US counties 1999-2013.

    Science.gov (United States)

    Kalesan, Bindu; Galea, Sandro

    2017-05-01

    We examined the socio-demographic distribution of gun deaths across 3143 counties in 50 United States' states to understand the spatial patterns and correlates of high and low gun deaths. We used aggregate counts of gun deaths and population in all counties from 1999 to 2013 from the Centers for Disease Control and Prevention's Wide-ranging Online Data for Epidemiologic Research (WONDER). We characterized four levels of gun violence, as distinct levels of gun death rates of relatively safe, unsafe, violent, and extremely violent counties, based on quartiles of 15-year county-specific gun death rates per 100,000 and used negative binomial regression models allowing clustering by state to calculate incidence rate ratios and 95% confidence intervals (95% CIs). Most states had at least one violent or extremely violent county. Extremely violent gun counties were mostly rural, poor, predominantly minority, had high unemployment rate and homicide rate. Overall, homicide rate was significantly associated with gun deaths (incidence rate ratios = 1.08, 95% CI = 1.06-1.09). In relatively safe counties, this risk was 1.09 (95% CI = 1.05-1.13) and in extremely violent gun counties was 1.03 (95% CI = 1.03-1.04). There are broad differences in gun death rates across the United States representing different levels of gun death rates in each state with distinct socio-demographic profiles. Copyright © 2017 Elsevier Inc. All rights reserved.

  2. UNEMPLOYMENT IN HUNEDOARA COUNTY

    Directory of Open Access Journals (Sweden)

    CLAUDIA ISAC

    2015-12-01

    Full Text Available Unemployment highlights a state of imbalance on the labour market which is characterized by a surplus of workforce in relation to job vacancies. This imbalance has been more apparent in Hunedoara County than in other counties, due to the fact that there are 3 mono-industrial areas that have been restructured over the past two decades. The effects are presented in this paper in the form of a complex statistical analysis. Thus, based on the evolution of the number of unemployed individuals in 1995, one can observe the periods of significant adverse effects upon the degree of employment. Moreover, one can make correlations with periods of international financial crisis and with the number of employees in the County in order to determine significant variables of the unemployment phenomenon. The content of this paper is significant and represents the analysis of the number of unemployed in the Jiu Valley, scattered across towns. As a form of financial protection, the unemployment benefit represents a financial instrument in the cases determined by this negative phenomenon, which is why in conclusion we make a comparison of the ways this aid is granted throughout several years and in various forms.

  3. Zoning Districts, The zoning districts dataset includes the towns in Manitowoc County, WI that have adopted the county's zoning ordinance., Published in 2013, 1:2400 (1in=200ft) scale, Manitowoc County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Zoning Districts dataset current as of 2013. The zoning districts dataset includes the towns in Manitowoc County, WI that have adopted the county's zoning ordinance..

  4. 76 FR 13172 - Placer County Water Agency

    Science.gov (United States)

    2011-03-10

    ... Water Agency Notice of Application Tendered for Filing with the Commission and Establishing Procedural... County Water Agency e. Name of Project: Middle Fork American River Project f. Location: The Middle Fork...) h. Applicant Contact: Andy Fecko, Project Manager, Placer County Water Agency, 144 Ferguson Road...

  5. 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 lines....

  6. Road infrastructure, spatial spillover and county economic growth

    Science.gov (United States)

    Hu, Zhenhua; Luo, Shuang

    2017-09-01

    This paper analyzes the spatial spillover effect of road infrastructure on the economic growth of poverty-stricken counties, based on the spatial Durbin model, by using the panel data of 37 poor counties in Hunan province from 2006 to 2015. The results showed that there is a significant spatial dependence of economic growth in Poor Counties. Road infrastructure has a positive impact on economic growth, and the results will be overestimated without considering spatial factors. Considering the spatial factors, the road infrastructure will promote the economic growth of the surrounding areas through the spillover effect, but the spillover effect is restricted by the distance factor. Capital investment is the biggest factor of economic growth in poor counties, followed by urbanization, labor force and regional openness.

  7. Land use/land cover in Swisher County and Deaf Smith County locations, Palo Duro Basin, Texas

    International Nuclear Information System (INIS)

    1984-12-01

    Agriculture is the major land use/land cover in the Swisher and Deaf Smith County locations. Most of the agricultural land is irrigated. Furrow, center pivot, and lateral-wheel irrigation systems are in common use. Rangeland is the second most abundant land use/land cover; it is typically associated with stream valleys and playas. The rangeland supports cattle, which are an important source of income. The main urban areas in or near the locations are Tulia and Happy, in Swisher County, and Hereford and Vega, in Deaf Smith County. Most of the land within the locations is privately owned - corporate and government ownership is extremely limited - and large portions are currently under lease for oil exploration. County and regional agencies have no authority to regulate land-use patterns in the locations, although the Panhandle Regional Planning Commission can provide guidance to local jurisdictions. Land use within the corporate limits and extraterritorial jurisdictions of Tulia and Hereford is controlled by zoning ordinances and subdivision regulations. According to projections for the locations, agriculture will remain the major land use in the foreseeable future. Dryland farming and rangeland will become more prevalent as irrigation costs increase and marginal areas are taken out of production

  8. 78 FR 43827 - Irish Potatoes Grown in Modoc and Siskiyou Counties, California, and in All Counties in Oregon...

    Science.gov (United States)

    2013-07-22

    ... Service 7 CFR Part 947 [Doc. No. AMS-FV-13-0036; FV13-947-1 PR] Irish Potatoes Grown in Modoc and Siskiyou... handling of Irish potatoes grown in Modoc and Siskiyou Counties, California, and in all counties in Oregon... by the Oregon-California Potato Committee (Committee), which recommended termination of the marketing...

  9. 27 CFR 9.190 - Red Hill Douglas County, Oregon.

    Science.gov (United States)

    2010-04-01

    ... 27 Alcohol, Tobacco Products and Firearms 1 2010-04-01 2010-04-01 false Red Hill Douglas County... Areas § 9.190 Red Hill Douglas County, Oregon. (a) Name. The name of the viticultural area described in this section is “Red Hill Douglas County, Oregon”. For purposes of part 4 of this chapter, “Red Hill...

  10. Socioeconomic profile of Clark County, Nevada: Community services inventory

    International Nuclear Information System (INIS)

    1986-09-01

    The Nevada Nuclear Waste Storage Investigations Project is preparing socioeconomic profiles of Clark County, Nevada, and communities in Clark County that could be affected by siting, construction, operation, and decommissioning of a high-level nuclear waste repository at Yucca Mountain, located in Nye County. These profiles serve as a data base for evaluating local community service impacts; store existing socioeconomic data in a uniform, readily accessible format; identify the need for additional data; and assist in developing a plan for monitoring and mitigating any significant adverse impacts that may be associated with site characterization and potential repository development. This element of the socioeconomic profiles contains an inventory of community services provided by local, county, and state agencies and volunteer organizations to residents of Las Vegas, North Las Vegas, Henderson, Boulder City, Indian Springs, and unincorporated areas of the county. Services inventoried include housing, growth management, general government, education, police protection, transportation networks, public clinics, private health personnel, parks and recreation, social services, libraries, ambulances, electric power, natural gas, water, sewers and wastewater treatment, solid waste, and fire protection. The report includes a summary overview of service providers in Clark County, discussions of the services provided to residents of communities in Clark County that may be affected by Project activities, and a description of service providers whose service areas are not limited to the incorporated areas of Clark County. Data presented in this profile were collected through March of 1985. Data collection efforts are ongoing and this profile will be updated periodically

  11. Environmental assessment, Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

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

  12. Environmental assessment, Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

    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

  13. Bay Area Counties, California, 2006, Tele Atlas(R)

    Data.gov (United States)

    U.S. Environmental Protection Agency — Dynamap(R)/2000 County Boundary file with a shoreline buffer is a non-generalized polygon layer that represents all U.S. government-defined entities named County. A...

  14. 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....

  15. Harold A. Hyde: Recollections of Santa Cruz County

    OpenAIRE

    Hyde, Harold A.; Jarrell, Randall; Regional History Project, UCSC Library

    2002-01-01

    A fifth-generation Santa Cruz County resident, Hyde has been in on the creation of organizations and institutions ranging from UCSC and Cabrillo College to the Community Foundation and the Cultural Council of Santa Cruz County. His contributions to California and Santa Cruz are documented in his oral history. Following infantry combat service with the U.S. Army in Europe during World War II and graduate studies in business at Harvard, Hyde returned to Santa Cruz County and a career a...

  16. County-Level Population Economic Status and Medicare Imaging Resource Consumption.

    Science.gov (United States)

    Rosenkrantz, Andrew B; Hughes, Danny R; Prabhakar, Anand M; Duszak, Richard

    2017-06-01

    The aim of this study was to assess relationships between county-level variation in Medicare beneficiary imaging resource consumption and measures of population economic status. The 2013 CMS Geographic Variation Public Use File was used to identify county-level per capita Medicare fee-for-service imaging utilization and nationally standardized costs to the Medicare program. The County Health Rankings public data set was used to identify county-level measures of population economic status. Regional variation was assessed, and multivariate regressions were performed. Imaging events per 1,000 Medicare beneficiaries varied 1.8-fold (range, 2,723-4,843) at the state level and 5.3-fold (range, 1,228-6,455) at the county level. Per capita nationally standardized imaging costs to Medicare varied 4.2-fold (range, $84-$353) at the state level and 14.1-fold (range, $33-$471) at the county level. Within individual states, county-level utilization varied on average 2.0-fold (range, 1.1- to 3.1-fold), and costs varied 2.8-fold (range, 1.1- to 6.4-fold). For both large urban populations and small rural states, Medicare imaging resource consumption was heterogeneously variable at the county level. Adjusting for county-level gender, ethnicity, rural status, and population density, countywide unemployment rates showed strong independent positive associations with Medicare imaging events (β = 26.96) and costs (β = 4.37), whereas uninsured rates showed strong independent positive associations with Medicare imaging costs (β = 2.68). Medicare imaging utilization and costs both vary far more at the county than at the state level. Unfavorable measures of county-level population economic status in the non-Medicare population are independently associated with greater Medicare imaging resource consumption. Future efforts to optimize Medicare imaging use should consider the influence of local indigenous socioeconomic factors outside the scope of traditional beneficiary-focused policy

  17. 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...

  18. VT Boundaries - county polygons

    Data.gov (United States)

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

  19. 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...

  20. 76 FR 61379 - Final Recovery Plan, Bexar County Karst Invertebrates

    Science.gov (United States)

    2011-10-04

    ...] Final Recovery Plan, Bexar County Karst Invertebrates AGENCY: Fish and Wildlife Service, Interior... availability of our final recovery plan, for the nine Bexar County Karst Invertebrates under the Endangered... County karst invertebrates were listed as endangered species on December 26, 2000 (65 FR 81419): Rhadine...

  1. Geology and ground-water resources of Duval County, Texas

    Science.gov (United States)

    Sayre, Albert Nelson

    1937-01-01

    Duval County is situated in southern Texas, 100 to 150 miles south of San Antonio and about midway between Corpus Christi, on the Gulf of Mexico, and Laredo, on the Rio Grande. The county lies on the Coastal Plain, which for the most part is low and relatively featureless. Between the Nueces River and the Rio Grande in this part of Texas the plain is interrupted by an erosion remnant, the Reynosa Plateau, which reaches a maximum altitude of nearly 1,000 feet above sea level and stands well above the areas to the east and west. The Reynosa Plateau includes most of Duval County and parts of Webb, Zapata, Starr, Jim Hogg, Jim Wells, McMullen, and Live Oak Counties. In Duval County the plateau is bounded on the west by the westward-facing Bordas escarpment, 75 to 150 feet high, which crosses the county with a southwesterly trend from about the middle of the north boundary to about the middle of the west boundary. On the east the plateau is bounded by a low seaward-facing escarpment, which passes through San Diego, trending a little west of south.

  2. Tourism impacts of Three Mile Island and other adverse events: implications for Lincoln County and other rural counties bisected by radioactive wastes intended for Yucca Mountain

    International Nuclear Information System (INIS)

    Himmelberger, J.J.; Baughman, M.; Ogneva-Himmelberger, Y.A.

    1995-01-01

    Whether the proposed Yucca Mountain nuclear waste repository system will adversely impact tourism in southern Nevada is an open question of particular importance to visitor-oriented rural counties bisected by planned waste transportation corridors (highway or rail). As part of one such county's repository impact assessment program, tourism implications of Three Mile Island (TMI) and other major hazard events have been revisited to inform ongoing county-wide socioeconomic assessments and contingency planning efforts. This paper summarizes key research implications of such research as applied to Lincoln County, Nevada. Implications for other rural counties are discussed in light of the research findings

  3. 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),...

  4. Diabetes Self-Management Education Programs in Nonmetropolitan Counties - United States, 2016.

    Science.gov (United States)

    Rutledge, Stephanie A; Masalovich, Svetlana; Blacher, Rachel J; Saunders, Magon M

    2017-04-28

    Diabetes self-management education (DSME) is a clinical practice intended to improve preventive practices and behaviors with a focus on decision-making, problem-solving, and self-care. The distribution and correlates of established DSME programs in nonmetropolitan counties across the United States have not been previously described, nor have the characteristics of the nonmetropolitan counties with DSME programs. July 2016. DSME programs recognized by the American Diabetes Association or accredited by the American Association of Diabetes Educators (i.e., active programs) as of July 2016 were shared with CDC by both organizations. The U.S. Census Bureau's census geocoder was used to identify the county of each DSME program site using documented addresses. County characteristic data originated from the U.S. Census Bureau, compiled by the U.S. Department of Agriculture's Economic Research Service into the 2013 Atlas of Rural and Small-Town America data set. County levels of diagnosed diabetes prevalence and incidence, as well as the number of persons with diagnosed diabetes, were previously estimated by CDC. This report defined nonmetropolitan counties using the rural-urban continuum code from the 2013 Atlas of Rural and Small-Town America data set. This code included six nonmetropolitan categories of 1,976 urban and rural counties (62% of counties) adjacent to and nonadjacent to metropolitan counties. In 2016, a total of 1,065 DSME programs were located in 38% of the 1,976 nonmetropolitan counties; 62% of nonmetropolitan counties did not have a DSME program. The total number of DSME programs for nonmetropolitan counties with at least one DSME program ranged from 1 to 8, with an average of 1.4 programs. After adjusting for county-level characteristics, the odds of a nonmetropolitan county having at least one DSME program increased as the percentage insured increased (adjusted odds ratio [AOR] = 1.10, 95% confidence interval [CI] = 1.08-1.13), the percentage with a high

  5. 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...

  6. Agricultural irrigated land-use inventory for Jackson, Calhoun, and Gadsden Counties in Florida, and Houston County in Alabama, 2014

    Science.gov (United States)

    Marella, Richard L.; Dixon, Joann F.

    2015-09-18

    A detailed inventory of irrigated crop acreage is not available at the level of resolution needed to accurately estimate water use or to project future water demands in many Florida counties. This report provides a detailed digital map and summary of irrigated areas for 2014 within Jackson, Calhoun, and Gadsden Counties in Florida, and Houston County in Alabama. The irrigated areas were delineated using land-use data and orthoimagery that were then field verified between June and November 2014. Selected attribute data were collected for the irrigated areas, including crop type, primary water source, and type of irrigation system. Results of the 2014 study indicate that an estimated 31,608 acres were irrigated in Jackson County during 2014. This estimate includes 25,733 acres of field crops, 1,534 acres of ornamentals and grasses (including pasture), and 420 acres of orchards. Specific irrigated crops include cotton (11,759 acres), peanuts (9,909 acres), field corn (2,444 acres), and 3,235 acres of various vegetable (row) crops. The vegetable acreage includes 1,714 acres of which 857 acres were planted with both a spring and fall crop on the same field (double cropped). Overall, groundwater was used to irrigate 98.6 percent of the total irrigated acreage in Jackson County during 2014, whereas surface water and wastewater were used to irrigate the remaining 1.4 percent.

  7. 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...

  8. Summer sound-level characterization of the Deaf Smith County and Swisher County locations in the Palo Duro Basin, Texas

    International Nuclear Information System (INIS)

    1984-03-01

    A description of sound levels and sound sources in the Deaf Smith County and Swisher County locations in the Palo Duro Basin during a period representative of the summer season is presented. Included are data collected during the period August 4 through 8, 1982, for both locations. 3 references, 2 figures, 3 tables

  9. Orange County Government Solar Demonstration and Research Facility

    Energy Technology Data Exchange (ETDEWEB)

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

    2015-05-12

    Orange County Florida completed the construction of a 20 kilowatt Solar Demonstration and Research Facility in March 2015. The system was constructed at the Orange County/University of Florida Cooperative Extension Center whose electric service address is 6021 South Conway Road, Orlando, Florida 32802. The Solar Demonstration and Research Facility is comprised of 72 polycrystalline photovoltaic modules and 3 inverters which convert direct current from the solar panels to alternating current electricity. Each module produces 270 watts of direct current power, for a total canopy production of just under 20,000 watts. The solar modules were installed with a fixed tilt of 5 degrees and face south, toward the equator to maximize the amount of sunlight captures. Each year, the electricity generated by the solar array will help eliminate 20 metric tons of carbon dioxide emissions as well as provide covered parking for staff and visitors vehicles. The solar array is expected to generate 27,000 kilowatt hours of electricity annually equating to an estimated $266 savings in the monthly electric bill, or $3,180 annually for the Orange County/University of Florida Cooperative Extension Center. In addition to reducing the electric bill for the Extension Center, Orange County’s solar array also takes advantage of a rebate incentive offered by the local utility, Orlando Utility Commission, which provided a meter that measures the amount of power produced by the solar array. The local utility company’s Solar Photovoltaic Production Incentive will pay Orange County $0.05 per kilowatt hour for the power that is produced by the solar array. This incentive is provided in addition to Net Metering benefits, which is an effort to promote the use of clean, renewable energy on the electric grid. The Photovoltaic Solar Demonstration and Research Facility also serves an educational tool to the public; the solar array is tied directly into a data logger that provides real time power

  10. Allegheny County Hydrology Areas

    Data.gov (United States)

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

  11. Allegheny County Hydrology Lines

    Data.gov (United States)

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

  12. Recentralization within decentralization: County hospital autonomy under devolution in Kenya

    Science.gov (United States)

    Manyara, Anthony M.; Molyneux, Sassy; Tsofa, Benjamin

    2017-01-01

    Background In 2013, Kenya transitioned into a devolved system of government with a central government and 47 semi-autonomous county governments. In this paper, we report early experiences of devolution in the Kenyan health sector, with a focus on public county hospitals. Specifically, we examine changes in hospital autonomy as a result of devolution, and how these have affected hospital functioning. Methods We used a qualitative case study approach to examine the level of autonomy that hospitals had over key management functions and how this had affected hospital functioning in three county hospitals in coastal Kenya. We collected data by in-depth interviews of county health managers and hospital managers in the case study hospitals (n = 21). We adopted the framework proposed by Chawla et al (1995) to examine the autonomy that hospitals had over five management domains (strategic management, finance, procurement, human resource, and administration), and how these influenced hospital functioning. Findings Devolution had resulted in a substantial reduction in the autonomy of county hospitals over the five key functions examined. This resulted in weakened hospital management and leadership, reduced community participation in hospital affairs, compromised quality of services, reduced motivation among hospital staff, non-alignment of county and hospital priorities, staff insubordination, and compromised quality of care. Conclusion Increasing the autonomy of county hospitals in Kenya will improve their functioning. County governments should develop legislation that give hospitals greater control over resources and key management functions. PMID:28771558

  13. Nye County Nevada local perspective of the yucca mountain project (YMP)

    International Nuclear Information System (INIS)

    Swanson, D.

    2008-01-01

    Nye County, Nevada, is host of the proposed Yucca Mountain nuclear waste repository. The Department of Energy (DOE) Nevada Test Site (NTS) and the Department of Defense Nevada Test and Training Range occupy a large portion of Nye County. The NTS has been the site of numerous nuclear device detonations; hosts two low-level nuclear waste landfills; and was (and is) the site of various nuclear physics experiments and tests that have resulted in the distribution of radionuclides into the environment. The Nuclear Waste Policy Act Amendments of 1987 designated Yucca Mountain as the only site, of the three sites approved for characterisation, to be evaluated as a repository. The Act includes provisions for local involvement in program oversight. Nye County and each county surrounding Nye is designated an affected unit of local government (AULG). Nye, being the situs county, also is provided the opportunity to have an on-site representative. This function is a day-to-day opportunity to interact with DOE staff and be actively involved in the DOE decision-making process. DOE has recognised Nye County unique status and special needs and has provided additional funding for various studies via co-operative agreements. The most notable program is the County Independent Science Investigation Program (ISIP). This unique program allows Nye County to contract with subject matter experts, primarily hydrological and geotechnical experts, to conduct studies and advise the county regarding their results and the technical results of DOE investigations. Through the ISIP, Nye has developed a co-operative and credible relationship with numerous research facilities including the national laboratories, government agencies, and universities. Nye County has no viable means to reject the YMP. Hence, current County policy is of a pragmatic nature in that our objectives are to assure that public health, safety and the environment are adequately protected, that the YMP is a success in every way

  14. WAYS FOR DEVELOPMENT OF RURAL COMMUNITIES IN VALCEA COUNTY

    Directory of Open Access Journals (Sweden)

    Remus STOIAN

    2014-12-01

    Full Text Available Compilation of the ways for developing a county level, helps to: create a vision about community that we want in the future, provide a complete picture of how the economy, environment, infrastructure can improve the county to set development goals and priorities that are reflected in measures to achieve the objectives. Also, the development of these paths of development may underlie a guide for improving community life and to reduce disparities. In this work we performed analysis of investment programs that benefit local communities in Valcea County in the period 2008-2016. Finally, the County development strategy based on RDP measures was set up for the period 2014-2020.

  15. 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…

  16. 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.

  17. 78 FR 25252 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2013-04-30

    ...-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on May 6, 2013, (alternate...

  18. SERVICES IN GORJ COUNTY IN ECONOMIC CRISIS SITUATIONS

    Directory of Open Access Journals (Sweden)

    RĂBONTU CECILIA IRINA

    2011-03-01

    Full Text Available In this paper we propose a synthetic analysis of the evolution of the tertiary sector in Gorj county under the pressure of the economic crisis that is felt now more than ever, the tertiary sector whos activities resulted in extremely diverse and constantly expanding services in our county as well. Like other regions of Romania, Gorj county is facing a new situation: after the period 2001-2008 when there has been growth, started a period marked by crisis, outcome of the effect of economic and financial crisis that broke out in the U.S. in October 2008. The economic crisis raises even more problems further enhancing poverty due to lower employment, as well as the decline in purchasing power especially among low-income population, under the impact of inflation and restrictive policies in wages, issues that are consequential to the stage of development of services in Gorj County.

  19. Ground-water altitudes and well data, Nye County, Nevada, and Inyo County, California

    International Nuclear Information System (INIS)

    Ciesnik, M.S.

    1995-01-01

    This report contains ground-water altitudes and well data for wells located in Nye County, Nevada, and Inyo County, California, south of Yucca Mountain, Nevada, the potential site for a high-level nuclear waste repository. Data are from wells whose coordinates are within the Beatty and Death Valley Junction, California-Nevada maps from the US Geological Survey, scale 1:100,000 (30-minute x 60-minute quadrangle). Compilation of these data was made to provide a reference for numerical models of ground-water flow at Yucca Mountain and its vicinity. Water-level measurements were obtained from the US Geological Survey National Water Information System (NWIS) data base, and span the period of October 1951 to May 1991; most measurements were made from 1980 to 1990

  20. Quaternary geology of Alameda County, and parts of Contra Costa, Santa Clara, San Mateo, San Francisco, Stanislaus, and San Joaquin counties, California: a digital database

    Science.gov (United States)

    Helley, E.J.; Graymer, R.W.

    1997-01-01

    Alameda County is located at the northern end of the Diablo Range of Central California. It is bounded on the north by the south flank of Mount Diablo, one of the highest peaks in the Bay Area, reaching an elevation of 1173 meters (3,849 ft). San Francisco Bay forms the western boundary, the San Joaquin Valley borders it on the east and an arbitrary line from the Bay into the Diablo Range forms the southern boundary. Alameda is one of the nine Bay Area counties tributary to San Francisco Bay. Most of the country is mountainous with steep rugged topography. Alameda County is covered by twenty-eight 7.5' topographic Quadrangles which are shown on the index map. The Quaternary deposits in Alameda County comprise three distinct depositional environments. One, forming a transgressive sequence of alluvial fan and fan-delta facies, is mapped in the western one-third of the county. The second, forming only alluvial fan facies, is mapped in the Livermore Valley and San Joaquin Valley in the eastern part of the county. The third, forming a combination of Eolian dune and estuarine facies, is restricted to the Alameda Island area in the northwestern corner of the county.

  1. Groundwater Governance and the Growth of Center Pivot Irrigation in Cimarron County, OK and Union County, NM: Implications for Community Vulnerability to Drought

    Directory of Open Access Journals (Sweden)

    Kathryn Wenger

    2017-01-01

    Full Text Available Cimarron County, Oklahoma and Union County, New Mexico, neighboring counties in the Southern High Plains, are part of a vital agricultural region in the United States. This region experiences extended periods of cyclical drought threatening its ability to produce, creating an incentive for extensive center pivot irrigation (CPI. Center pivots draw from the rapidly depleting High Plains Aquifer System. As a result, the prospect of long-term sustainability for these agricultural communities is questionable. We use Remote Sensing and Geographic Information Systems to quantify growth in land irrigated by CPI between the 1950s and 2014, and key informant interviews to explore local perspectives on the causes and impact of such growth. In Cimarron County, OK, CPI increased by the mid-1980s, and has continually increased since. Results suggest adaptation to drought, a depleting aquifer, high corn prices, and less rigid groundwater regulations contribute to CPI growth. Conversely, CPI in Union County, NM, increased until 2010, and then declined. Results also suggest that drought-related agricultural changes and more aggressive well drilling regulations contribute to this decrease. Nevertheless, in both counties, there is a growing concern over the depleting aquifer, the long-term sustainability of CPI, and the region’s economic future.

  2. Forest statistics for Southeast Texas counties - 1986

    Science.gov (United States)

    William H. McWilliams; Daniel F. Bertelson

    1986-01-01

    These tables were derived from data obtained during a 1986 inventory of 22 counties comprising the Southeast Unit of Texas (fig. 1). Grimes, Leon, Madison, and Waller counties have been added to the Southeastern Unit since the previous inventory if 1975. All comparisons of the 1975 and 1986 forest statistics made in this Bulletin account for this change. The data on...

  3. EVALUATION AND REPORTING OF COUNTY GASOLINE USE METHODOLOGIES

    Science.gov (United States)

    The report reviews two EPA studies that investigated improvements in the allocation of state-level gasoline sales to the county level in order to improve annual county-level emissions estimates from this source category. The approaches taken in these studies are compared with the...

  4. Intra-regional disparities in Sisak-Moslavina County

    Directory of Open Access Journals (Sweden)

    Zdenko Braičić

    2011-06-01

    Full Text Available There are distinct discrepancies in social and economic development levels between different parts of the Sisak-Moslavina County. Although discussed in earlier researches, the County's intraregional disparities were approached in a new way. The paper deals with the disparities between administrative cities and municipalities and between the northern (Sisak Posavina and Moslavina and the southern (Banovina part of the County by applying two groups of indicators – economic development and demographic development. Based on these indicators administrative cities and municipalities ranking has been conducted, two synthetic ranks have been derived and their correlation tested. According to different indicators, the Municipality of Gvozd is in the most unfavourable situation while the most favourable indicators are related to the town of Kutina.

  5. 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.

  6. 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.

  7. Allegheny County Housing Tenure

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Home ownership provides a number of financial, social, and health benefits to American families. Especially in areas with housing price appreciation, home ownership...

  8. Address Points - COUNTY_ADDRESS_POINTS_IDHS_IN: Address Points Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Point feature class)

    Data.gov (United States)

    NSGIC State | GIS Inventory — COUNTY_ADDRESS_POINTS_IDHS_IN is an ESRI Geodatabase point feature class that contains address points maintained by county agencies in Indiana, provided by personnel...

  9. Buying Renewable Electric Power in Montgomery County, Maryland

    Science.gov (United States)

    Cember, Richard P.

    2008-08-01

    From mid-August 2007 until mid-August 2008, my home electricity supply was 100% wind-generated. My experience in switching to wind-generated electric power may be of interest to fellow AGU members for three reasons. First, Montgomery County, Md., where I live, is one of the few jurisdictions in the United States that has both an electric power tax and a renewable energy credit. The county is therefore a case study in price-based public policy for greenhouse gas emissions control. Second, I was surprised by the comparatively small price difference (or ``price premium'') between wind-generated and conventionally generated power in the county, and I believe that Eos readers will be similarly surprised. Third, because so many U.S. federal agencies concerned with Earth science are based in the Washington, D. C., area, a high concentration of AGU members live in Montgomery County and may be personally interested in evaluating the price of reducing carbon dioxide emissions from the generation of their own residential electricity.

  10. Clarke County, Virginia's innovative response to groundwater protection

    International Nuclear Information System (INIS)

    Lee, G.R.; Christoffel, T.J.

    1990-01-01

    In 1982, the Clarke County Planning Commission created a Water Supply committee which led to the following county actions: adoption of a resource conservation overlay zone to protect the County Sanitation Authority's public spring; submission of the first Virginia application for federal sole-source aquifer designation; drafting of a proposed oil and gas exploration and extraction ordinance; and a contract with the USGS for a three-year groundwater resources study. In February 1987, the Clarke County Plan was published. Six implementation strategies were recommended, the majority of which have been adopted: (1) on-site wastewater treatment system management; (2) a sinkhole ordinance; (3) well standards; (4) underground storage tank requirements; (5) community education; and (6) a geographic information system. This plan emphasizes direct local government land use policies designed to mitigate risks of groundwater contamination. The plan used existing technical information to focus on prevention as the best strategy for natural resource protection

  11. 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.

  12. 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...

  13. Artificial reef evaluation capabilities of Florida counties

    OpenAIRE

    Halusky, Joseph G.; Antonini, Gustavo A.; Seaman, William

    1993-01-01

    Florida's coastal county artificial reef sampling and data management programs are surveyed in this report. The survey describes the county level capability for artificial reef documentation and performance assessment based on their needs, interests, organizational structure and "in-situ" data collection and data management techniques. The. primary purpose of this study is to describe what staffing, training, techniques, organizational procedures and equipment are used by the c...

  14. Interim housing conditions profile, Benton and Franklin Counties, Washington: BWIP Repository Project: Working draft

    International Nuclear Information System (INIS)

    Bolton, P.A.

    1987-11-01

    This report describes the housing stock and its availability in Benton and Franklin counties. Depending on the specific measures, data are presented for the entire MSA, for Benton and Franklin counties separately, for incorporated and unincorporated areas within the counties, and for specific incorporated areas. The most detailed data are available for the two counties and for the major cities of Kennewick and Richland in Benton County and Pasco in Franklin County. In 1986, 64 percent of the population of Benton County and 66 percent of the housing units were in Kennewick and Richland. Seventy-three percent of the population and 75 percent of the housing were in the incorporated area of Benton County. In Franklin County, Pasco accounted for 52 percent of the county's 1986 population and 57 percent of its housing. Fifty-nine percent of the population and 63 percent of the housing were in the incorporated areas of Franklin County. More detailed data are needed to fully describe the housing conditions in the jurisdictions described here. 13 refs., 9 tabs

  15. Radon in Houses of Vukovar-Srijem County

    International Nuclear Information System (INIS)

    Radolic, V.; Novakovic, L.; Jerkovic, G.; Vukovic, B.

    2008-01-01

    During years 2003 and 2004, a long-term indoor radon measurements in some, randomly selected, homes in Croatia were performed by LR-115 track etch detectors. The number of exposed detectors in each of 20 Croatian counties was set according to population criteria (one detector per 4000 inhabitants) and around 40 measurements were performed in Vukovar-Srijem County. Additional measurements are followed in years 2006-07 and these results rapidly improve the knowledge of spatial distribution of indoor radon concentration in this County. Radon was measured by method with two LR-115 type II nuclear track detectors which enable the estimation of equilibrium factor as well as the assessment of the annual effective dose. The obtained values were in range of 18 to 548 Bq m -3 , with the arithmetic and geometric means of 95 Bq m -3 and 74 Bq m -3 , respectively. The municipality with lowest average radon level of 51 Bq m -3 is city of Vukovar while Andrijasevci has the highest average radon concentration of 269 Bq m -3 . The average estimated equilibrium factor in Vukovar-Srijem County is 0.512; the relative error of the estimation is 14.8 percent. The statistical χ 2 -test, applied on the empirical and theoretical frequencies, show that the empirical frequency distribution for the radon in houses of Vukovar-Srijem County belonged to the log-normal distribution (calculated parameter, χ 2 = 7.39, was lower than the theoretical one, χ 2 0.05 = 9.49, for 4 degrees of freedom and significance level of 0.05). The percentage of houses with radon concentrations above 200 or 400 Bq/m 3 was 8.7 percent and 1.4 percent, respectively. The assessment of the annual effective dose from the indoor radon and its short-lived progenies for the inhabitants of Vukovar-Srijem County (for the average equilibrium factor of 0.512 and occupancy factor of 0.6) gave the average effective dose of 2.4 mSv/y.(author)

  16. 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...

  17. Allegheny County Older Housing

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Older housing can impact the quality of the occupant's health in a number of ways, including lead exposure, housing quality, and factors that may exacerbate...

  18. 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...

  19. Allegheny County Voting District Boundaries (Fall 2016 - Spring 2017)

    Data.gov (United States)

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

  20. Allegheny County Walk Scores

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Walk Score measures the walkability of any address using a patented system developed by the Walk Score company. For each 2010 Census Tract centroid, Walk Score...

  1. 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....

  2. Allegheny County Vacant Properties

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Mail carriers routinely collect data on address no longer receiving mail due to vacancy. This vacancy data is reported quarterly at census tract geographies in the...

  3. School Progress Report 2013. Montgomery County Public Schools

    Science.gov (United States)

    Montgomery County Public Schools, 2014

    2014-01-01

    The 2013 School Progress Report for Montgomery County Public Schools (MCPS) provides state, county, and individual school performance data, as well as information on student attendance, high school graduation rates, and the professional qualifications of teachers at the state, district, and school levels for the 2012-2013 school year. Montgomery…

  4. 78 FR 67324 - Proposed Amendment of Class E Airspace; Lapeer, MI

    Science.gov (United States)

    2013-11-12

    ... Aviation Administration (FAA), DOT. ACTION: Notice of proposed rulemaking (NPRM). SUMMARY: This action... taking this action to enhance the safety and management of Instrument Flight Rules (IFR) operations for... and suggestions presented are particularly helpful in developing reasoned regulatory decisions on the...

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

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Tax liens are a method the government uses to secure an interest in unpaid tax debt. This dataset represents information about county, municipal, school district,...

  6. Associations Between County Wealth, Health and Social Services Spending, and Health Outcomes.

    Science.gov (United States)

    McCullough, J Mac; Leider, Jonathon P

    2017-11-01

    Each year, the County Health Rankings rate the health outcomes of each county in the U.S. A common refrain is that poor counties perform worse than wealthier ones. This article examines that assumption and specifically analyzes characteristics of counties that have performed better in terms of health outcomes than their wealth alone would suggest. Data from the 2013 County Health Rankings were used, as were 2012 financial and demographic information collected by the U.S. Census Bureau. A logistic model was constructed to examine the odds of a county "overperforming" in the rankings relative to community wealth. Analyses were performed in 2016. Communities that were wealthier performed better on the rankings. However, more than 800 of 3,141 counties overperformed by ranking in a better health outcomes quartile than their county's wealth alone would suggest. Regression analyses found that for each additional percentage point of total public spending that was allocated toward community health care and public health, the odds of being an overperformer increased by 3.7%. Community wealth correlates with health, but not always. Population health outcomes in hundreds of counties overperform what would be expected given community wealth alone. These counties tend to invest more in community health care and public health spending and other social services. Although the level of a community's wealth is outside the control of practitioners, shifting the proportion of spending to certain social services may positively impact population health. Copyright © 2017 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  7. The public sector nursing workforce in Kenya: a county-level analysis.

    Science.gov (United States)

    Wakaba, Mabel; Mbindyo, Patrick; Ochieng, Jacob; Kiriinya, Rose; Todd, Jim; Waudo, Agnes; Noor, Abdisalan; Rakuom, Chris; Rogers, Martha; English, Mike

    2014-01-27

    Kenya's human resources for health shortage is well documented, yet in line with the new constitution, responsibility for health service delivery will be devolved to 47 new county administrations. This work describes the public sector nursing workforce likely to be inherited by the counties, and examines the relationships between nursing workforce density and key indicators. National nursing deployment data linked to nursing supply data were used and analyzed using statistical and geographical analysis software. Data on nurses deployed in national referral hospitals and on nurses deployed in non-public sector facilities were excluded from main analyses. The densities and characteristics of the public sector nurses across the counties were obtained and examined against an index of county remoteness, and the nursing densities were correlated with five key indicators. Of the 16,371 nurses in the public non-tertiary sector, 76% are women and 53% are registered nurses, with 35% of the nurses aged 40 to 49 years. The nursing densities across counties range from 1.2 to 0.08 per 1,000 population. There are statistically significant associations of the nursing densities with a measure of health spending per capita (P value = 0.0028) and immunization rates (P value = 0.0018). A higher county remoteness index is associated with explaining lower female to male ratio of public sector nurses across counties (P value public sector countrywide is complicated by mal-distribution and varying workforce characteristics (for example, age profile) across counties. All stakeholders should support improvements in human resources information systems and help address personnel shortages and mal-distribution if equitable, quality health-care delivery in the counties is to be achieved.

  8. 76 FR 47141 - Big Horn County Resource Advisory Committee

    Science.gov (United States)

    2011-08-04

    ....us , with the words Big Horn County RAC in the subject line. Facsimilies may be sent to 307-674-2668... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. [[Page 47142

  9. 7 CFR 1962.16 - Accounting by County Supervisor.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 14 2010-01-01 2009-01-01 true Accounting by County Supervisor. 1962.16 Section 1962... § 1962.16 Accounting by County Supervisor. The Agency will maintain a current record of each borrower's... risk exists. An FO borrower who has been current with the Agency and who has provided chattels as...

  10. Geology and hydrology for environmental planning in Washtenaw County, Michigan

    Science.gov (United States)

    Fleck, William B.

    1980-01-01

    Washteaw County is underlain by glacial deposits that range in thickness from about 50 feet to about 450 feet. Underlying the glacial deposits are sedimentary rocks of Mississippian and Devonian age. The youngest of these rocks are the sandstones of the Marshall Formation in the western part of the county;  the oldest are the limestones of the Detroit River Group in the southeast corner.Sand and gravel deposits in some places in the county may yield more than 500 gallons per minute of water. Approximately 50 percent of the wells tapping the Marshall Formation, the most reliable bedrock aquifer, can yield as much as 60 gallons per minute.Washtenaw County has sand and gravel deposits that are more than 50 feet thick. The deposits are mined in several areas and are of economic importance. In addition, there may be potential for peat production in the western part of the county and for clay production in the eastern part.

  11. Road and Street Centerlines - COUNTY_STREET_CENTERLINES_IDHS_IN: Street Centerlines Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Line Shapefile)

    Data.gov (United States)

    NSGIC State | GIS Inventory — COUNTY_STREET_CENTERLINES_IDHS_IN is a line feature class that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

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

    International Nuclear Information System (INIS)

    Antal, I.; Bergman, S.; Freden, C.; Gierup, J.; Stoelen, L.K.; Thunholm, B.; Stephens, M.

    1999-06-01

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

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

    International Nuclear Information System (INIS)

    Gierup, J.; Kuebler, L.; Linden, A.; Ripa, M.; Stoelen, L.K.; Thunholm, B.; Stephens, M.

    1999-06-01

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

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

    International Nuclear Information System (INIS)

    Gierup, J.; Kuebler, L.; Pamnert, M.; Persson, Magnus; Thunholm, B.; Wahlgren, C.H.; Wikman, H.; Stephens, M.

    1999-06-01

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

  15. The Construction of Ecological Agriculture in Gongcheng County and Its Development Ideas

    OpenAIRE

    Zhong, Li-chuan; Zhou, Xiao-huan; Zhang, Hui-na

    2011-01-01

    On the basis of survey of current situations of eco-agricultural construction in Gongcheng County, major “Cultivation + Methane + Planting triple model of ecological agriculture in Gongcheng County is presented. Then, the eco-agricultural benefits of Gongcheng County are analyzed from three aspects, namely economic, social and ecological benefits. Through summing up, the eco-agricultural construction of Gongcheng County has following problems: imperfect ecological technological system; foll...

  16. 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....

  17. 75 FR 23222 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2010-05-03

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee (RAC) will meet on May 17, 2010 at the City of Sonora Fire Department, in Sonora...

  18. 77 FR 48495 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2012-08-14

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on September 10, 2012 at the City of Sonora Fire Department, in Sonora...

  19. 76 FR 36898 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2011-06-23

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of Meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on July 11, 2011 at the City of Sonora Fire Department, in Sonora, California...

  20. 75 FR 30771 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2010-06-02

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on June 14, 2010, at the City of Sonora Fire Department, in Sonora, California...

  1. 76 FR 31935 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2011-06-02

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of Meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on June 13, 2011 at the City of Sonora Fire Department, in Sonora, California...

  2. 76 FR 46722 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2011-08-03

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee (RAC) will meet on August 15, 2011 at the City of Sonora Fire Department, in Sonora...

  3. 76 FR 20309 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2011-04-12

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee (RAC) will meet on May 9, 2011 at the City of Sonora Fire Department, in Sonora...

  4. 75 FR 33241 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2010-06-11

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on June 14, 2010 at the City of Sonora Fire Department, in Sonora, California...

  5. 75 FR 38771 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2010-07-06

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on August 16, 2010 at the City of Sonora Fire Department, in Sonora...

  6. 77 FR 48496 - Tuolumne-Mariposa Counties Resource Advisory Committee

    Science.gov (United States)

    2012-08-14

    ... DEPARTMENT OF AGRICULTURE Forest Service Tuolumne-Mariposa Counties Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Tuolumne-Mariposa Counties Resource Advisory Committee will meet on September 17, 2012 at the City of Sonora Fire Department, in Sonora...

  7. CONSIDERATIONS ON THE DROUGHT PHENOMENON IN CLUJ COUNTY

    Directory of Open Access Journals (Sweden)

    CORNEL BLAGA

    2011-03-01

    Full Text Available Considerations on the drought phenomenon in Cluj County. Cluj county area is 6674 km², and is located in the northwestern part of Romania. The climate is temperate continental with oceanic influences, relatively humid, but there are also periods of drought and even years with deficient rainfall, as there are periods of excess rainfall. Dryness and drought phenomena are caused by cosmic, climatic, hydrological (groundwater depth, the existence of surface water sources factors, features of the underlying surface, vegetation coverage, soil texture and structure. The relief determines a climate elevation with differences in terms of precipitation and temperatures quantities. To calculate the dryness degree of the climate at weather stations in the Cluj county, the Emmanuel de Martonne aridity index was used. Drought do not induce into the substrate the geomorphologic processes per se, however, they pave the way for starting the deflation process, surface erosion and ravine, by reducing the cohesion between the particles and the formation of deep cracks in the soil and even rock. In these climatic conditions, droughts are less frequent in the county of Cluj, in relation to the extra-Carpathian regions and are distributed unevenly across the county. The number of periods of drought decreases with the increase of the altitude, from an average of 2.6 drought periods a year at Dej (altitude of 232 m to an annual average of 0.3 draught periods at Vlădeasa Peak (altitude of 1836 m.

  8. Historical review of uranium-vanadium in the eastern Carrizo Mountains, San Juan County, New Mexico and Apache County, Arizona

    International Nuclear Information System (INIS)

    Chenoweth, W.L.

    1980-03-01

    This report is a brief review of the uranium and/or vanadium mining in the eastern Carrizo Mountains, San Juan County, New Mexico and Apache County, Arizona. It was prepared at the request of the Navajo Tribe, the New Mexico Energy and Minerals Department, and the Arizona Bureau of Geology and Mineral Technology. This report deals only with historical production data. The locations of the mines and the production are presented in figures and tables

  9. U.S. Geological Survey cooperative water-resources programs in Chester County, Pennsylvania

    Science.gov (United States)

    Wood, Charles R.

    1998-01-01

    Since 1969, the U.S. Geological Survey (USGS) has had a cooperative water-resources investigation program with Chester County to measure and describe the water resources of the County. Generally, the USGS provides one-half of the program funding, and local cooperators are required to provide matching funds. Cooperation has been primarily with the Chester County Water Resources Authority (CCWRA), with participation from the Chester County Health Department and funding from the Chester County Board of Commissioners. Municipalities and the Red Clay Valley Association also have provided part of the funding for several projects. This report describes how the long-term partnership between the USGS and Chester County, Pa., provides the County with the information that it needs for sound water-resources management.The CCWRA was created in 1961, primarily for land acquisition and planning for flood-control and water-supply projects. With the backing of the Brandywine Valley Association, the CCWRA started its first cooperative project with the USGS in 1969. It was a study of the water-quality condition of Chester County streams with an emphasis on benthic macroinvertebrates and stream chemistry.The kinds of projects and data collection conducted by the USGS have changed with the needs of Chester County and the mission of the CCWRA. Chester County is experiencing rapid population growth (it had the tenth-highest rate of growth in the nation from 1980 to 1990). This growth places considerable stress on water resources and has caused the CCWRA to broaden its focus from flood control to water-supply planning, water quality, and ground-water and surface-water management. The results of USGS studies are used by the CCWRA and other County agencies, including the Planning Commission, Health Department, and Parks and Recreation Department, for conducting day-to-day activities and planning for future growth. The results also are used by the CCWRA to provide guidance and technical

  10. Energy balance of the Norrbotten county; Energilaeget i Norrbotten

    Energy Technology Data Exchange (ETDEWEB)

    Jonsson, Maria [NENET, Boden (Sweden)

    2003-03-01

    The energy balance of Norrbotten county, in the extreme North of Sweden, is reviewed, both on the county level and for each local community. A broad estimate of the environmental effects of the energy use is given. Population statistics and industrial activities are also described.

  11. District logistics analysis of the Viborg county case study

    DEFF Research Database (Denmark)

    Hansen, Leif Gjesing; Lise Drewes, Nielsen

    The paper presents results of  the logistical flows and logistical organisation used in a district logistics analysis in Viborg county, Denmark.......The paper presents results of  the logistical flows and logistical organisation used in a district logistics analysis in Viborg county, Denmark....

  12. 76 FR 7810 - Big Horn County Resource Advisory Committee

    Science.gov (United States)

    2011-02-11

    ..., Wyoming 82801. Comments may also be sent via e-mail to [email protected] , with the words Big... DEPARTMENT OF AGRICULTURE Forest Service Big Horn County Resource Advisory Committee AGENCY: Forest Service, USDA. ACTION: Notice of meeting. SUMMARY: The Big Horn County Resource Advisory Committee...

  13. Chemical analyses for selected wells in San Joaquin County and part of Contra Costa County, California

    Science.gov (United States)

    Keeter, Gail L.

    1980-01-01

    The study area of this report includes the eastern valley area of Contra Costa County and all of San Joaquin County, an area of approximately 1,600 square miles in the northern part of the San Joaquin Valley, Calif. Between December 1977 and December 1978, 1,489 wells were selectively canvassed. During May and June in 1978 and 1979, water samples were collected for chemical analysis from 321 of these wells. Field determinations of alkalinity, conductance, pH, and temperature were made, and individual constituents were analyzed. This report is the fourth in a series of baseline data reports on wells in the Sacramento and San Joaquin Valleys. (USGS)

  14. 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...

  15. Economic impacts of geothermal development in Skamania County, Washington

    International Nuclear Information System (INIS)

    Lesser, J.A.

    1992-07-01

    This report estimates the local economic impacts that could be anticipated from the development of a 100 megawatt (MW) geothermal power plant in eastern Skamania County, Washington, near Mt. Adams, as shown in Figure 1. The study was commissioned by the Bonneville Power Administration to quantify such impacts as part of regional confirmation work recommended by the Northwest Power Planning Council. Skamania County was chosen due to both identified geothermal resources and developer interest. The analysis will focus on two phases: a plant construction phase, including well field development, generating plant construction, and transmission line construction; and an operations phase. Economic impacts will occur to the extent that construction and operations affect the local economy. These impacts will depend on the existing structure of the Skamania County economy and estimates of revenues that may accrue to the county as a result of plant construction, operation, and maintenance. Specific impacts may include additional direct employment at the plant, secondary impacts from wage payments being used to purchase locally produced goods and services, and impacts due to expenditures of royalty and tax payments received by the county. The basis for the analysis of economic impacts in this study is the US Forest Service IMPLAN input-output modeling system

  16. Economic impacts of geothermal development in Whatcom County, Washington

    International Nuclear Information System (INIS)

    Lesser, J.A.

    1992-07-01

    This report estimates the local economic impacts that could be anticipated from the development of a 100 megawatt (MW) geothermal power plant in eastern Whatcom County, Washington, near Mt. Baker, as shown in Figure 1. The study was commissioned by the Bonneville Power Administration to quantify such impacts as part of regional confirmation work recommended by the Northwest Power Planning Council. Whatcom County was chosen due to both identified geotherrnal resources and developer interest. The analysis will focus on two phases: a plant construction phase, including well field development, generating plant construction, and transmission line construction; and an operations phase. Economic impacts will occur to the extent that construction and operations affect the local economy. These impacts will depend on the existing structure of the Whatcom County economy and estimates of revenues that may accrue to the county as a result of plant construction, operation, and maintenance. Specific impacts may include additional direct employment at the plant, secondary impacts from wage payments being used to purchase locally produced goods and services, and impacts due to expenditures of royalty and tax payments received by the county. The basis for the analysis of economic impacts in this study is the US Forest Service IMPLAN input-output modeling system

  17. Suicide Mortality Risk in Kermanshah Province, Iran: A County-level Spatial Analysis

    Directory of Open Access Journals (Sweden)

    Mehran Rostami

    2016-09-01

    Full Text Available Background: Kermanshah province has one of the highest suicide rates in Iran. The aim of this study is to explore spatial variations in the relative risk of suicide across the counties of Kermanshah province. Methods: This is an applied ecological study in which county-level counts of suicide deaths recorded by the forensic medicine organization of Kermanshah province during the period March 21, 2006 to March 20, 2013 have been used. Following a Bayesian approach, Besag, York and Mollie's (BYM model was fitted to the number of suicide deaths of males, females and all persons to make inference about the relative risk of suicide across the counties of the province. Results: Over the study period and based on 95% credible intervals, Kangavar, Harsin and Sonqor counties had significantly lower relative risks of suicide for both males and females, Slas-Babajani, Paveh, Javanrud and Ravansar counties had significantly lower relative risks of suicide only for males and Kermanshah county had a significantly higher relative risk of suicide only for males. The relative risk of suicide for the other counties were not significantly different from the province’s overall risk neither for males nor females. Conclusion: The counties of Kermanshah province can be classified into four categories by the level of relative risk of suicide: low relative risk for both males and females, low relative risk only for males, high relative risk only for males and average relative risk. Findings from this study could be used to specify priority counties for suicide prevention initiatives.

  18. Returns on Investment in California County Departments of Public Health.

    Science.gov (United States)

    Brown, Timothy T

    2016-08-01

    To estimate the average return on investment for the overall activities of county departments of public health in California. I gathered the elements necessary to estimate the average return on investment for county departments of public health in California during the period 2001 to 2008-2009. These came from peer-reviewed journal articles published as part of a larger project to develop a method for determining return on investment for public health by using a health economics framework. I combined these elements by using the standard formula for computing return on investment, and performed a sensitivity analysis. Then I compared the return on investment for county departments of public health with the returns on investment generated for various aspects of medical care. The estimated return on investment from $1 invested in county departments of public health in California ranges from $67.07 to $88.21. The very large estimated return on investment for California county departments of public health relative to the return on investment for selected aspects of medical care suggests that public health is a wise investment.

  19. POPULATION MOBILITY ACROSS REGIONS AND COUNTIES DURING DEMOCRACY IN ROMANIA

    Directory of Open Access Journals (Sweden)

    Bunea Daniela

    2012-12-01

    Full Text Available As an introduction to a more comprehensive study about internal migration determinants, this paper investigates on the main trends in the evolution of this phenomenon within Romanian borders for the last two decades, 1990-2010. For this, I compute indicators such as gross migration and net migration, and I display some illustrative graphic representations of the main patterns. Thus, my focus will be on: arrivals, departures and balances of migration, both numbers and rates; highest and lowest rates; intra-flows and inter-flows; and the favorite destinations to migrate from county to county. The main findings of this quantitative statistical analysis reveal low levels of migration, oscillatory flows and rates with sharp falls in 1991, two regions (Bucharest-Ilfov and West with exclusively positive balances and one (North-East with only negative balances, only 11 counties registered net inflows (especially from Centre and West, intra-migration strongly dominated inter-migration, inhabitants from almost one third of the counties have chosen the capital as their favourite destination, and almost half of the counties showed no temporal change in their preferences.

  20. Canine neoplasia and exposure to uranium mill tailings in Mesa County, Colorado

    International Nuclear Information System (INIS)

    Reif, J.S.; Schweitzer, D.J.; Ferguson, S.W.; Benjamin, S.A.

    1983-01-01

    A canine cancer registry was established for Mesa County, Colorado in order to collect material for a case control analysis of exposure to uranium tailings. Between 1979 and 1981, 212 cases of canine cancer were confirmed histologically. Based on the address provided at the time of diagnosis, 33 dogs (15.6%) lived in a house with some exposure to uranium tailings. A control group, comprised of dogs with a histologic diagnosis other than cancer, was stratified according to hospital and matched with cases on a 1:1 basis. No significant differences were noted with respect to exposure to uranium tailings for total cancers or cancers of specific sites including lymph node, breast, liver, testicle and bone. The overall estimated relative risk was 0.70 (95% CI 0.04 to 1.16). Canine population estimates were derived for Mesa County in order to develop crude incidence rates for the major types and sites of cancer. Crude rates were compared with those published previously for Alameda County, California and Tulsa County, Oklahoma. Mesa County rates for total cancer incidence, connective tissue tumors and non melanoma skin cancer were higher than those reported for Alameda County. When compared with Tulsa County, Mesa County rates for total cancer, breast cancer, melanoma and mastocytoma were lower than expected while rates for osteosarcoma, hemangiosarcoma and fibrosarcoma significantly exceeded expected values

  1. Cayuga County Regional Digester: Vision Becomes Reality. Final Report

    Energy Technology Data Exchange (ETDEWEB)

    Zadeh, Kamyar V. [Blue Electron Technology Solutions International LLC, Manlius, NY (United States); Young, Jim [Cayuga Soil and Water Conservation District, Auburn, NY (United States)

    2013-03-12

    With an average herd size of 113 mature cows, Cayuga County is home to 280 dairy farms and 31,500 dairy milking cows producing approximately 855 million gallons of milk per year. The Cayuga Dairy industry is a major contributor to the countys economy, employing nearly 1200 people, while generating $140,000,000 of revenue from sale of milk alone. At the same time, the Cayuga County dairy industry also produces 5.7 million gallons of manure daily: (a) Nearly 34% of this manure is produced on smaller farms. (b) Digesters are expensive pieces of equipment and require attention and care. ( c) The on-farm digester systems have fairly long payback (>10 years) even for larger CAFO farms (>1000 milking cows). In 2005, Cayuga County Soil and Water Conservation District (The District), a Public Agency under Cayuga County, decided to undertake a centralized community digester project. The primary goal of the project was to develop an economically sustainable model, under the auspices of The District to address manure management issues facing the smaller dairies, improve the water quality and improve the quality of life for Cayuga County residents. It is believed that the District has accomplished this goal by completing construction of Cayuga County Regional Digester on a parcel of land behind the Cayuga County Natural Resource Center located at 7413 County House Road in the Town of Sennett in Cayuga County, New York. The digester facility consists of the following major components. 1. Transfer Station: This an indoor truck bay, where 35,000 gallons of manure from three local farms, 8,500 gallons of liquid organic food-processor waste, and 1,200 gallons of brown grease are unloaded from tanker trucks and the digested slurry is loaded onto the tanker trucks for delivery back to the participating farms. 2. Anaerobic Digester: The project utilizes a hydraulic mix anaerobic digester, a unique design that has no internal moving parts for mixing. The digester, which operates at

  2. 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...

  3. 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;...

  4. 77 FR 1716 - James River National Wildlife Refuge, Prince George County, VA

    Science.gov (United States)

    2012-01-11

    ... River National Wildlife Refuge, Prince George County, VA AGENCY: Fish and Wildlife Service, Interior... (the refuge, NWR), which is located in Prince George County, Virginia. We provide this notice in... River NWR, in Prince George County, Virginia. This notice complies with our CCP policy to advise other...

  5. Characteristics of bank financial intermediation in Croatian counties

    Directory of Open Access Journals (Sweden)

    Jakša Krišto

    2015-03-01

    Full Text Available Research on bank financial intermediation in a country’s narrower territorial units is scarce, in both domestic and international literature. Banks are almost the only financial intermediaries in narrower territorial units and their role is substantial, ranging from participating in regional development to the successful running of their own business. Hence, the main objective of this paper is to examine the characteristics of the financial intermediation of banks in the counties of the Republic of Croatia, both through a comparison between their economic development levels and the general presence of financial intermediation, and a more specific analysis of their deposit and credit policies. The article uses hierarchical and non-hierarchical (k-means cluster analyses to identify relatively homogeneous groups of counties based on sets of indicators of: economic environment, financial development and infrastructure and, at a more detailed level, the deposit and credit policies of banks. The research results suggest heterogeneity and diversity of bank policies across the counties and sets of indicators. Differences have been observed between developed and developing counties, as well as in approaches to banks’ deposit and credit policies. The paper’s findings encourage further research into these issues.

  6. 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...

  7. Rural migration in Nevada: Lincoln County. Phase 1, 1992--1993

    Energy Technology Data Exchange (ETDEWEB)

    Soden, D.L.; Carns, D.E.; Mosser, D.; Conary, J.S.; Ansell, J.P.

    1993-12-31

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

  8. Session 1984-85. Radioactive waste. Minutes of evidence, Wednesday 26 June 1985. Association of Metropolitan Authorities; Association of County Councils; Bedford County Council

    International Nuclear Information System (INIS)

    1985-01-01

    The Environment Select Committee of the House of Commons received a memorandum from the Association of Metropolitan Authorities on radioactive waste management, including: government policy; local authorities; administrative procedures; public opinion and public relations; planning; transport; NIREX; legal aspects; identification of specific disposal sites. Representatives of the Association were examined on the subject of the memorandum and the Minutes of Evidence are recorded. The Committee also received a memorandum from the Association of County Councils on planning, transportation and waste disposal considerations, including kinds and quantities of radioactive waste; safety and security; financial, administrative and political aspects; counties as planning authorities and waste disposal authorities. Representatives of the Association were examined on the subject of the memorandum. The Committee also received a memorandum from Bedford County Council on intermediate and low level radioactive waste management in the UK. Representatives of the County Council were examined on the subject of the memorandum. The Minutes of Evidence are recorded. (U.K.)

  9. 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...

  10. 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...

  11. 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...

  12. Simulation of the shallow groundwater-flow system in the Forest County Potawatomi Community, Forest County, Wisconsin

    Science.gov (United States)

    Fienen, Michael N.; Saad, David A.; Juckem, Paul F.

    2013-01-01

    The shallow groundwater system in the Forest County Potawatomi Comminity, Forest County, Wisconsin, was simulated by expanding and recalibrating a previously calibrated regional model. The existing model was updated using newly collected water-level measurements, inclusion of surface-water features beyond the previous near-field boundary, and refinements to surface-water features. The updated model then was used to calculate the area contributing recharge for seven existing and three proposed pumping locations on lands of the Forest County Potawatomi Community. The existing wells were the subject of a 2004 source-water evaluation in which areas contributing recharge were calculated using the fixed-radius method. The motivation for the present (2012) project was to improve the level of detail of areas contributing recharge for the existing wells and to provide similar analysis for the proposed wells. Delineated 5- and 10-year areas contributing recharge for existing and proposed wells extend from the areas of pumping to delineate the area at the surface contributing recharge to the wells. Steady-state pumping was simulated for two scenarios: a base-pumping scenario using pumping rates that reflect what the Community currently (2012) pumps (or plans to in the case of proposed wells), and a high-pumping scenario in which the rate was set to the maximum expected from wells installed in this area, according to the Forest County Potawatomi Community Natural Resources Department. In general, the 10-year areas contributing recharge did not intersect surface-water bodies. The 5- and 10-year areas contributing recharge simulated at the maximum pumping rate at Bug Lake Road may intersect Bug Lake. At the casino near the Town of Carter, Wisconsin, the 10-year areas contributing recharge intersect infiltration ponds. At the Devils Lake and Lois Crow Drive wells, areas contributing recharge are near cultural features, including residences.

  13. 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...

  14. Reduction of community alcohol problems: computer simulation experiments in three counties.

    Science.gov (United States)

    Holder, H D; Blose, J O

    1987-03-01

    A series of alcohol abuse prevention strategies was evaluated using computer simulation for three counties in the United States: Wake County, North Carolina, Washington County, Vermont and Alameda County, California. A system dynamics model composed of a network of interacting variables was developed for the pattern of alcoholic beverage consumption in a community. The relationship of community drinking patterns to various stimulus factors was specified in the model based on available empirical research. Stimulus factors included disposable income, alcoholic beverage prices, advertising exposure, minimum drinking age and changes in cultural norms. After a generic model was developed and validated on the national level, a computer-based system dynamics model was developed for each county, and a series of experiments was conducted to project the potential impact of specific prevention strategies. The project concluded that prevention efforts can both lower current levels of alcohol abuse and reduce projected increases in alcohol-related problems. Without such efforts, already high levels of alcohol-related family disruptions in the three counties could be expected to rise an additional 6% and drinking-related work problems 1-5%, over the next 10 years after controlling for population growth. Of the strategies tested, indexing the price of alcoholic beverages to the consumer price index in conjunction with the implementation of a community educational program with well-defined target audiences has the best potential for significant problem reduction in all three counties.

  15. LPRS by State, County, Country of Birth and Major Class of Admission 2015

    Data.gov (United States)

    Department of Homeland Security — These tables offer county-level data for the top 200 counties of residence of new LPRs by major class of admission and by country of birth. OIS assigns county of...

  16. 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 [[Page 28780

  17. 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...

  18. 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...

  19. 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...

  20. 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...

  1. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — 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...

  2. Challenges in responding to the ebola epidemic - four rural counties, Liberia, August-November 2014.

    Science.gov (United States)

    Summers, Aimee; Nyenswah, Tolbert G; Montgomery, Joel M; Neatherlin, John; Tappero, Jordan W; T, Nyenswah; M, Fahnbulleh; M, Massaquoi

    2014-12-19

    The first cases of Ebola virus disease (Ebola) in West Africa were identified in Guinea on March 22, 2014. On March 30, the first Liberian case was identified in Foya Town, Lofa County, near the Guinean border. Because the majority of early cases occurred in Lofa and Montserrado counties, resources were concentrated in these counties during the first several months of the response, and these counties have seen signs of successful disease control. By October 2014, the epidemic had reached all 15 counties of Liberia. During August 27-September 10, 2014, CDC in collaboration with the Liberian Ministry of Health and Social Welfare assessed county Ebola response plans in four rural counties (Grand Cape Mount, Grand Bassa, Rivercess, and Sinoe, to identify county-specific challenges in executing their Ebola response plans, and to provide recommendations and training to enhance control efforts. Assessments were conducted through interviews with county health teams and health care providers and visits to health care facilities. At the time of assessment, county health teams reported lacking adequate training in core Ebola response strategies and reported facing many challenges because of poor transportation and communication networks. Development of communication and transportation network strategies for communities with limited access to roads and limited means of communication in addition to adequate training in Ebola response strategies is critical for successful management of Ebola in remote areas.

  3. Socioeconomic profile of Nye County, Nevada: Community services inventory

    International Nuclear Information System (INIS)

    1986-09-01

    The Nevada Nuclear Waste Storage Investigations Project is preparing socioeconomic profiles of Nye County, Nevada, and communities in Nye County that could be affected by siting, construction, operation, and decommissioning of a high-level nuclear waste repository at Yucca Mountain, located in Nye County. These profiles serve as a data base for evaluating local community service impacts; store existing socioeconomic data in a uniform, readily accessible format; identify the need for additional data; and assist in developing a plan for monitoring and mitigating any significant adverse impacts that may be associated with site characterization and potential repository development. This element of the socioeconomic profiles contains an inventory of community services provided by local, county, and state agencies and volunteer organizations to residents of Amargosa Valley, Beatty, and Pahrump. Services inventoried for each community include housing, growth management, general government, education, police protection, transportation networks, public clinics, private health personnel, parks and recreation, social services, libraries, ambulances, electric power, heating fuel, water, sewers and wastewater treatment, solid waste, and fire protection. The report includes a summary overview of service providers in Nye County, discussions of services provided to residents of the three communities, and summary tables. Data presented in this profile were collected through early 1985. Data collection efforts are ongoing and this profile will be updated periodically

  4. The Prado Dam and Reservoir, Riverside and San Bernardino Counties, California

    Science.gov (United States)

    1989-10-31

    County’s Renewed Push for Water Conservation ............. 72 Riverside County Reaction , Late 1940s ........................... 76 Development of...is sloped to the typography to reduce erosion below the concrete-lined section. The emergency spillway had a designed pond elevation of 556 feet, and a...means of pumping water downstream (Nick Richardson, personal communication 1989). 75 4R CL 44- t,, v I. 76 Riverside County Reaction , Late 1940s The

  5. Financial Management In Public Secondary Schools In Kenya A Case Study Of Lurambi Sub-County Kakamega County

    Directory of Open Access Journals (Sweden)

    Rose Kahavizakiriza

    2015-08-01

    Full Text Available Abstract This study set out to identify knowledge skills and attitudes required by principals of public secondary schools in Lurambi Sub-county in Kakamega County Kenya for effective financial management. The rationale for focusing on the financial management of public secondary schools was based on evidence in contemporary literature showing that there existed problems in schools over the management of funds because parents complained of financial mismanagement. The main objective of this study was to find outfinancial management in public secondary schools in Kenya. The specific objectives were To find out whether principals of public secondary schools identify and mobilize financial resources for their institutions to find out whether principals draw up budgets for their schools according to priorities of the school needs to find out whether supervision monitoring and control of the budget is carried out by principals of public secondary schools. Therefore there was need to find out ways of ensuring efficient financial management in schools. The study was carried out in public secondary schools in Lurambi Sub-county of Kakamega County covering Lurambi and Municipality. The target population for this study consisted of seventeen 17 principals of public secondary schools seventeen 17 school bursars one hundred and thirty six 136 H.O.Ds and seventeen 17 B.O.G representatives giving a total of one hundred and eighty seven 187 people. Sample population was purposively selected from twelve 12 public secondary schools in Lurambi Sub-county through simple random within the clusters of principals school bursars H.O.Ds representatives of B.O.G. The study adopted a descriptive survey design which helped to establish and describe the knowledge skills and attitudes principals of public secondary schools require for effective performance. Reliability coefficient of the instruments was calculated using cronbachs reliability test. Data analysis revealed that

  6. VT Data - Lidar DSM (0.7m) 2015, Windham County

    Data.gov (United States)

    Vermont Center for Geographic Information — (Link to Metadata) This metadata applies to the following collection area(s): Windham County 2015 0.7m; Eastern VT 2014 0.7m; Rutland/GI Counties 2013 0.7m; and...

  7. Returns on Investment in California County Departments of Public Health

    Science.gov (United States)

    2016-01-01

    Objectives. To estimate the average return on investment for the overall activities of county departments of public health in California. Methods. I gathered the elements necessary to estimate the average return on investment for county departments of public health in California during the period 2001 to 2008–2009. These came from peer-reviewed journal articles published as part of a larger project to develop a method for determining return on investment for public health by using a health economics framework. I combined these elements by using the standard formula for computing return on investment, and performed a sensitivity analysis. Then I compared the return on investment for county departments of public health with the returns on investment generated for various aspects of medical care. Results. The estimated return on investment from $1 invested in county departments of public health in California ranges from $67.07 to $88.21. Conclusions. The very large estimated return on investment for California county departments of public health relative to the return on investment for selected aspects of medical care suggests that public health is a wise investment. PMID:27310339

  8. Ground-water and geohydrologic conditions in Queens County, Long Island, New York

    Science.gov (United States)

    Soren, Julian

    1971-01-01

    Queens County is a heavily populated borough of New York City, at the western end of Long Island, N. Y., in which large amounts of ground water are used, mostly for public supply. Ground water, pumped from local aquifers, by privately owned water-supply companies, supplied the water needs of about 750,000 of the nearly 2 million residents of the county in 1967; the balance was supplied by New York City from surface sources outside the county in upstate New York. The county's aquifers consist of sand and gravel of Late Cretaceous and of Pleistocene ages, and the aquifers comprise a wedge-shaped ground-water reservoir lying on a southeastward-sloping floor of Precambrian(?) bedrock. Beds of clay and silt generally confine water in the deeper parts of the reservoir; water in the deeper aquifers ranges from poorly confined to well confined. Wisconsin-age glacial deposits in the uppermost part of the reservoir contain ground water under water-table conditions. Ground water pumpage averaged about 60 mgd (million gallons per day) in Queens County from about 1900 to 1967. Much of the water was used in adjacent Kings County, another borough of New York City, prior to 1950. The large ground-water withdrawal has resulted in a wide-spread and still-growing cone of depression in the water table, reflecting a loss of about 61 billion gallons of fresh water from storage. Significant drawdown of the water table probably began with rapid urbanization of Queens County in the 1920's. The county has been extensively paved, and storm and sanitary sewers divert water, which formerly entered the ground, to tidewater north and south of the county. Natural recharge to the aquifers has been reduced to about one half of the preurban rate and is below the withdrawal rate. Ground-water levels have declined more than 40. feet from the earliest-known levels, in 1903, to 1967, and the water table is below sea level in much of the county. The aquifers are being contaminated by the movement of

  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 1...

  10. 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...

  11. 2009 SCDNR Horry County Lidar

    Data.gov (United States)

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

  12. 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...

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

    Data.gov (United States)

    NSGIC Education | GIS Inventory — This metadata describes the digital orthoimagery covering Orange County, FL. This orthoimagery was collected under contract to the Orange County Property Appraiser...

  14. Child maltreatment in rural southern counties: Another perspective on race, poverty and child welfare.

    Science.gov (United States)

    Smith, Brenda D; Kay, Emma Sophia; Pressley, Tracy D

    2018-06-01

    Building on research that has identified community characteristics associated with child maltreatment, this study investigates the adequacy and equity of the child welfare response at the county level. The study focuses on states in the U.S. south with demographic characteristics that make it possible to disentangle county racial composition from county rurality. County-level child maltreatment data were merged with data from the U.S. Census and other publicly-available sources for the 354 counties in four southern states. Results from multiple regression models indicated that, despite a greater preponderance of risk factors typically associated with child maltreatment, rural, majority African-American counties had lower rates of reported and substantiated child maltreatment compared to other southern counties. Cross-sectional results were consistent across three years: 2012, 2013, and 2014. The findings suggest that children and families in rural, majority African-American counties in the South may not be receiving adequate or equitable responses from the formal child welfare system. Copyright © 2018 Elsevier Ltd. All rights reserved.

  15. 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...

  16. Allegheny County Property Assessment Appeals

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Lists property assessment appeals filed and heard with the Board of Property Assessment Appeals and Review (BPAAR) and the hearing results, for tax years 2015 to...

  17. County business patterns, 1996 : Nevada

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  18. County business patterns, 1997 : Wisconsin

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  19. County business patterns, 1997 : Arizona

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  20. County business patterns, 1997 : Wyoming

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  1. County business patterns, 1997 : Minnesota

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  2. County business patterns, 1996 : Colorado

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  3. County business patterns, 1996 : Montana

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  4. County business patterns, 1996 : Nebraska

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  5. County business patterns, 1996 : Kentucky

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  6. County business patterns, 1996 : Idaho

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  7. County business patterns, 1997 : Alabama

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  8. County business patterns, 1997 : Maryland

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  9. County business patterns, 1997 : Maine

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  10. County business patterns, 1996 : Utah

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  11. County business patterns, 1996 : Oklahoma

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  12. County business patterns, 1996 : Alaska

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  13. County business patterns, 1997 : Kansas

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  14. County business patterns, 1997 : Florida

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  15. County business patterns, 1997 : Oklahoma

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  16. County business patterns, 1997 : Michigan

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  17. County business patterns, 1997 : Tennessee

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  18. County business patterns, 1997 : Kentucky

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  19. County business patterns, 1996 : Louisiana

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  20. County business patterns, 1997 : Texas

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  1. County business patterns, 1997 : Virginia

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  2. County business patterns, 1996 : Delaware

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  3. County business patterns, 1997 : Idaho

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  4. County business patterns, 1997 : Nevada

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  5. County business patterns, 1996 : Wisconsin

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  6. County business patterns, 1996 : Arkansas

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  7. County business patterns, 1996 : Florida

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  8. County business patterns, 1997 : Mississippi

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  9. County business patterns, 1996 : Missouri

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  10. County business patterns, 1996 : Maryland

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  11. County business patterns, 1997 : Hawaii

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  12. County business patterns, 1996 : Ohio

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  13. County business patterns, 1996 : Alabama

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  14. County business patterns, 1997 : Alaska

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  15. County business patterns, 1996 : Iowa

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  16. County business patterns, 1996 : Georgia

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  17. County business patterns, 1996 : Michigan

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  18. County business patterns, 1996 : Texas

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  19. County business patterns, 1997 : Nebraska

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  20. County business patterns, 1997 : Massachusetts

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  1. County business patterns, 1997 : Indiana

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  2. County business patterns, 1996 : Pennsylvania

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  3. County business patterns, 1997 : Arkansas

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  4. County business patterns, 1997 : Colorado

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  5. County business patterns, 1996 : Arizona

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  6. County business patterns, 1997 : Oregon

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  7. County business patterns, 1997 : Georgia

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  8. County business patterns, 1997 : Missouri

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  9. County business patterns, 1997 : Illinois

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  10. County business patterns, 1997 : Utah

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  11. County business patterns, 1996 : Kansas

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  12. County business patterns, 1996 : Maine

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  13. County business patterns, 1997 : Pennsylvania

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  14. County business patterns, 1996 : Tennessee

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  15. County business patterns, 1997 : Ohio

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  16. County business patterns, 1996 : Vermont

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  17. County business patterns, 1996 : Wyoming

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  18. County business patterns, 1996 : Illinois

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  19. County business patterns, 1996 : Virginia

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  20. County business patterns, 1997 : Iowa

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  1. County business patterns, 1997 : Connecticut

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  2. County business patterns, 1996 : Hawaii

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  3. County business patterns, 1997 : Washington

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  4. County business patterns, 1997 : Vermont

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  5. County business patterns, 1996 : Oregon

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  6. County business patterns, 1996 : Minnesota

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  7. County business patterns, 1996 : California

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  8. County business patterns, 1996 : Indiana

    Science.gov (United States)

    1998-11-01

    County Business Patterns is an annual series that : provides subnational economic data by industry. The series : is useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  9. County business patterns, 1997 : Delaware

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  10. County business patterns, 1997 : Montana

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  11. [Risk assessments and control strategies of plague in five key surveillance counties, Zhejiang province].

    Science.gov (United States)

    Shi, Guoxiang; Ju, Cheng; Zhang, Rong; Zhang, Zheng; Sun, Jimin; Wang, Miaoruo; Zhang, Xiaohe; Ye, Xianming; Zhu, Zhihong; Xing, Jianguang; Liao, Xiaowei; Chen, Zhiping

    2015-10-01

    To analyze the epidemiology data on plague in five counties in Zhejiang province and to evaluate the risk of plague in theses areas. We selected five monitoring stations as a risk assessment (Qingyuan county, Longquan city, Yiwu city, Wencheng county, and Ruian city) in Zhejiang province where the plague epidemic more serious in the history. At least one constant site and 1-4 variable sites where plague occurred in history were selected for monitoring. We collected the five counties (cities) surveillance data of indoor rat density, indoor Rattus flavipectus density, the Xenopsylla cheopis index of rat, the Xenopsylla cheopis index of Rattus flavipectus in 1995-2014. Isolation of Yersinia pestis was conducted among 171,201 liver samples and F1 antibody were detected among 228,775 serum samples. Risk matrix, Borda count method, and Delphi approach were conducted to assess risk of the plague of five counties (cities) in Zhejiang province. Indoor rat density in Qingyuan county, Longquan city, Yiwu city, Wencheng county, Ruian city was 1.58%-5.50%, 1.13%-9.76%, 0.56%-3.67%, 2.83%-16.08%, 7.16%-15.96%, respectively; Indoor Rattus flavipectus density of five counties (cities) was 0.08%-2.23%, 0-2.02%, 0-0.54%, 0.71%-5.58%, 0.55%-4.92%, respectively. The Xenopsylla cheopis index of rat in Qingyuan county and Wencheng county was 0.011-0.500 and 0.015-0.227, respectively; The Xenopsylla cheopis index of Rattus flavipectus of Qingyuan county and Wencheng county was 0.119-3.412 and 0.100-1.430, respectively; Ruian City and Yiwu city cannot collected Xenopsylla cheopis, Long quan city only collected the Xenopsylla cheopis index of rat in the five years. Yersinia pestis were not isolated in five counties (cities).There were 3 Apodemus agrarius samples positive of plague F1 antibody test, in Longquan city and Yiwu city in 2005. Borda count method to assess the Longquan city, Yiwu (Borda point were both 321) plague risk was higher than three other regions; Delphi approach to

  12. Unconsolidated Aquifers in Tompkins County, New York

    Science.gov (United States)

    Miller, Todd S.

    2000-01-01

    Unconsolidated aquifers consisting of saturated sand and gravel are capable of supplying large quantities of good-quality water to wells in Tompkins County, but little published geohydrologic inform ation on such aquifers is available. In 1986, the U.S.Geological Survey (USGS) began collecting geohydrologic information and well data to construct an aquifer map showing the extent of unconsolidated aquifers in Tompkins county. Data sources included (1) water-well drillers. logs; (2) highway and other construction test-boring logs; (3) well data gathered by the Tompkins County Department of Health, (4) test-well logs from geohydrologic consultants that conducted projects for site-specific studies, and (5) well data that had been collected during past investigations by the USGS and entered into the National Water Information System (NWIS) database. In 1999, the USGS, in cooperation with the Tompkins County Department of Planning, compiled these data to construct this map. More than 600 well records were entered into the NWIS database in 1999 to supplement the 350 well records already in the database; this provided a total of 950 well records. The data were digitized and imported into a geographic information system (GIS) coverage so that well locations could be plotted on a map, and well data could be tabulated in a digital data base through ARC/INFO software. Data on the surficial geology were used with geohydrologic data from well records and previous studies to delineate the extent of aquifers on this map. This map depicts (1) the extent of unconsolidated aquifers in Tompkins County, and (2) locations of wells whose records were entered into the USGS NWIS database and made into a GIS digital coverage. The hydrologic information presented here is generalized and is not intended for detailed site evaluations. Precise locations of geohydrologic-unit boundaries, and a description of the hydrologic conditions within the units, would require additional detailed, site

  13. Geology and ground-water resources of Linn County, Iowa

    Science.gov (United States)

    Hansen, Robert E.

    1970-01-01

    Linn County, in east-central Iowa, covers about 713 square miles and lies in the Western Young Drift section of the Central Lowlands physiographic province. The normal annual rainfall in the county is about 33 inches and the annual mean temperature is about 48°F. The population in 1960 was 136,899, of which 75 percent was urban.

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

    Directory of Open Access Journals (Sweden)

    Carla Shoff

    2012-09-01

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

  15. Allegheny County Illegal Dump Sites

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — The Illegal Dump Site dataset includes information on illegal dump sites, their type of trash, and the estimate tons of trash at each site. The information was...

  16. System Schema Analysis of County Economy Talents Shortages Based on the Perspective of Returning-home Entrepreneurship

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

    According to the discussion of domestic scholars on county talents,we know that the researches concerning county human resources mainly focus on discussing the problems such as the total amount,distribution,quality and introduction of county talents though the analysis of coordination between talents and county economic development,and the research of relationship between industry adjustment and talents need.However,there have no relevant documents about the analysis and discussion of county talents problems based on system schema theory.In view of this reality,on the basis of the introduction of the system schema theory propounded by management guru Peter Senge,we conduct the feedback schema analysis of the restricted factors of talents shortages during county economic development;establish the growth limits schema of county talents system;analyze the functioning mechanism of the total amount,distribution,quality and introduction of county talents on the development of county economy;discuss the relationship between the individual quality,social relation and emotional need of returning-home start-up,and talents resource shortage;propose the countermeasures and suggestions to mitigate the shortage of county talents,in order to optimize the allocation of county human resources,and promote the county’s economic development.

  17. Industrial policy, production efficiency improvement and the Chinese county economic growth

    Directory of Open Access Journals (Sweden)

    Wang Zhenhua

    2016-12-01

    Full Text Available This study aims at analyzing the difference in the level of economic development between China’s counties from the two perspectives of industrial policy and production efficiency. Based on panel data of 1830 Chinese counties, this study employs the new classical economic growth theory framework to analyze the counties’ economic growth by the perpetual inventory method, Malmquist index, among others. The results show that the economy of the counties exhibits δ convergence since 2004, and the absolute differences in the different counties are expanding. Industrial policy ensures the additional deepening of the level of capital in the county. Additionally, a substantial difference was observed between the agricultural sector and the non-agricultural sector, whereby the total factor productivity and the technical efficiency are on the rise, resulting in the phenomenon of dual paths of technological progress. In summary, the capital deepening difference between the sectors, production efficiency, and dual paths of technological progress owing to the counties’ industrial policy are the basic reasons for the regional differences in the level of economic development in China.

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

    International Nuclear Information System (INIS)

    Edwards, B.; Bando, A.; Bassett, G.; Rosen, A.; Carlson, J.; Meenan, C.

    1992-01-01

    This paper describes the Western Area Gaining 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

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

    International Nuclear Information System (INIS)

    Edwards, B.; Bando, A.; Basset, G.; Rosen, A.; Meenan, C.; Carlson, J.

    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. It is designed to generate forecasts of gaming revenues in Clark County, whose regional economy is dominated by the gaming industry, and 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

  20. 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.

  1. 78 FR 34095 - Adequacy Status of the Idaho, Northern Ada County PM10

    Science.gov (United States)

    2013-06-06

    ..., Northern Ada County PM 10 State Implementation Plan for Transportation Conformity Purposes AGENCY...), and volatile organic compounds (VOC) for the years 2008, 2015 and 2023 in the Northern Ada County PM... Northern Ada County. The EPA's finding was made pursuant to the adequacy review process for implementation...

  2. Geothermal : Economic Impacts of Geothermal Development in Whatcom County, Washington.

    Energy Technology Data Exchange (ETDEWEB)

    Lesser, Jonathan A.

    1992-07-01

    This report estimates the local economic impacts that could be anticipated from the development of a 100 megawatt (MW) geothermal power plant in eastern Whatcom County, Washington, near Mt. Baker, as shown in Figure 1. The study was commissioned by the Bonneville Power Administration to quantify such impacts as part of regional confirmation work recommended by the Northwest Power Planning Council. Whatcom County was chosen due to both identified geotherrnal resources and developer interest. The analysis will focus on two phases: a plant construction phase, including well field development, generating plant construction, and transmission line construction; and an operations phase. Economic impacts will occur to the extent that construction and operations affect the local economy. These impacts will depend on the existing structure of the Whatcom County economy and estimates of revenues that may accrue to the county as a result of plant construction, operation, and maintenance. Specific impacts may include additional direct employment at the plant, secondary impacts from wage payments being used to purchase locally produced goods and services, and impacts due to expenditures of royalty and tax payments received by the county. The basis for the analysis of economic impacts in this study is the US Forest Service IMPLAN input-output modeling system.

  3. Allegheny County Map Index Grid

    Data.gov (United States)

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

  4. Identifying county characteristics associated with resident well-being: A population based study.

    Science.gov (United States)

    Roy, Brita; Riley, Carley; Herrin, Jeph; Spatz, Erica S; Arora, Anita; Kell, Kenneth P; Welsh, John; Rula, Elizabeth Y; Krumholz, Harlan M

    2018-01-01

    Well-being is a positively-framed, holistic assessment of health and quality of life that is associated with longevity and better health outcomes. We aimed to identify county attributes that are independently associated with a comprehensive, multi-dimensional assessment of individual well-being. We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents' well-being, captured by the Gallup-Sharecare Well-Being Index. Our cohort included 338,846 survey participants, randomly sampled from 3,118 US counties or county equivalents. We identified twelve county-level factors that were independently associated with individual well-being scores. Together, these twelve factors explained 91% of the variance in individual well-being scores, and they represent four conceptually distinct categories: demographic (% black); social and economic (child poverty, education level [divorced); clinical care (% eligible women obtaining mammography, preventable hospital stays per 100,000, number of federally qualified health centers); and physical environment (% commuting by bicycle and by public transit). Twelve factors across social and economic, clinical care, and physical environmental county-level factors explained the majority of variation in resident well-being.

  5. Superfund record of decision (EPA Region 7): Cherokee County Superfund Site, Cherokee County, KS, July 29, 1996

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1996-08-01

    The decision document presents the selected remedial action for the mining wastes at Operable Unit No. 07 of the Galena Subsite, which is part of the Cherokee County Superfund Site in Cherokee County, Kansas. The selected remedy includes actions for residential soils impacted by mining wastes and includes: Excavation and disposal of residential soils impacted by mining wastes; Health education for the general community and medical professionals; Institutional controls to guide future development in residential areas impacted by mining wastes; Treatability studies to evaluate the effectiveness of phosphate stabilization as a future alternative; and Operation and maintenance of all remedy aspects including, but not limited to, health education, institutional controls, and long-term monitoring.

  6. 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),...

  7. 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…

  8. US County-Level Trends in Mortality Rates for Major Causes of Death, 1980-2014.

    Science.gov (United States)

    Dwyer-Lindgren, Laura; Bertozzi-Villa, Amelia; Stubbs, Rebecca W; Morozoff, Chloe; Kutz, Michael J; Huynh, Chantal; Barber, Ryan M; Shackelford, Katya A; Mackenbach, Johan P; van Lenthe, Frank J; Flaxman, Abraham D; Naghavi, Mohsen; Mokdad, Ali H; Murray, Christopher J L

    2016-12-13

    County-level patterns in mortality rates by cause have not been systematically described but are potentially useful for public health officials, clinicians, and researchers seeking to improve health and reduce geographic disparities. To demonstrate the use of a novel method for county-level estimation and to estimate annual mortality rates by US county for 21 mutually exclusive causes of death from 1980 through 2014. Redistribution methods for garbage codes (implausible or insufficiently specific cause of death codes) and small area estimation methods (statistical methods for estimating rates in small subpopulations) were applied to death registration data from the National Vital Statistics System to estimate annual county-level mortality rates for 21 causes of death. These estimates were raked (scaled along multiple dimensions) to ensure consistency between causes and with existing national-level estimates. Geographic patterns in the age-standardized mortality rates in 2014 and in the change in the age-standardized mortality rates between 1980 and 2014 for the 10 highest-burden causes were determined. County of residence. Cause-specific age-standardized mortality rates. A total of 80 412 524 deaths were recorded from January 1, 1980, through December 31, 2014, in the United States. Of these, 19.4 million deaths were assigned garbage codes. Mortality rates were analyzed for 3110 counties or groups of counties. Large between-county disparities were evident for every cause, with the gap in age-standardized mortality rates between counties in the 90th and 10th percentiles varying from 14.0 deaths per 100 000 population (cirrhosis and chronic liver diseases) to 147.0 deaths per 100 000 population (cardiovascular diseases). Geographic regions with elevated mortality rates differed among causes: for example, cardiovascular disease mortality tended to be highest along the southern half of the Mississippi River, while mortality rates from self-harm and

  9. ANALYSIS OF THE EVOLUTION IN DYNAMICS OF BUDGET INCOMES FROM ALBA COUNTY

    Directory of Open Access Journals (Sweden)

    CLAUDIA FLORINA RADU

    2013-03-01

    Full Text Available This paper aims to examine how the main taxes collected in Alba County have evolved over the last seven years and we put in evidence the evolution of total revenue received in Alba County budget. We point out also the taxes that hold the largest share of the total revenue collected. At the same time we observe the ranking of the main taxes in our county, compared to their ranking of the entire country. On the first place in our county we find VAT, the income tax is on the second, and corporate income tax follows. They are therefore the main source of income for the Alba budget.

  10. Investigation on residential radon concentration in Jingchuan county

    International Nuclear Information System (INIS)

    Zhang Wei; Wan Yihong; Chen Hongxiao; Shang Bin

    2009-01-01

    This paper reports an investigated result of residential radon concentration in Jingchuan County, Gansu Province, during May 2004 to November 2006. Alpha track detectors were used to measure radon level. Construction types of house and percentages of residents living in the county were also investigated through questionnaires. The result showed that the mean radon concentration in 62 investigated houses was 96.2 Bq·m -3 . The radon concentration in cave dwelling was the highest among all type of dwellings. The average level in cave dwelling is 110.2 Bq·m -3 , which was significantly higher than the national mean value published in literatures, and exceed the WHO recommended value of 100 Bq·m -3 . A considerable number of rural residents are living in cave dwellings in Jingchuan County. Attention should be paid to the radon problem and some proper protection measures taken. (authors)

  11. Gastric cancer in New Mexico counties with significant deposits of uranium

    International Nuclear Information System (INIS)

    Wilkinson, G.S.

    1985-01-01

    Several counties in northern New Mexico display high rates of mortality from gastric cancer. Significant differences in sex-specific, age-adjusted, average annual stomach cancer mortality rates among whites from 1970-1979 were found between counties with significant deposits of uranium compared to those without significant deposits. These results remained unchanged when either socioeconomic status or Hispanic ethnicity were considered. Additional research needs to consider individual characteristics and competing risk factors for individuals with gastric cancer in these counties. A working hypothesis is that residents of counties with significant deposits of uranium are exposed to higher-than-average environmental levels of radionuclides such as radon and radon daughters, or to trace elements such as arsenic, cadmium, selenium, and lead which are commonly found in areas with uranium deposits

  12. Agreement Between the Board of Trustees of Middlesex County College and the Faculty Organization of Middlesex County College Local 1940, (AFK-CIO) 1972-1974.

    Science.gov (United States)

    Middlesex County Coll., Edison, NJ.

    This document presents the agreement between the Board of Trustees of Middlesex County College and the Faculty Organization County College for the period from July 1, 1972 through June 30, 1974. The articles of the agreement cover rights of the union, rights of the faculty, conditions of employment, faculty benefits, professional behavior,…

  13. ORTHOPTERA FAUNA OF SĂLAJ COUNTY, ROMANIA

    Directory of Open Access Journals (Sweden)

    Gellért Puskás

    2017-07-01

    Full Text Available : Orthoptera fauna of Sălaj County, NW Romania is reviewed based on new and literature data. 63 species were collected during field investigations in 2014-2015, thus the known Orthoptera species in the region are 74 (30 Acridoidea, 3 Tetrigoidea, 1 Tridactyloidea, 7 Grylloidea, 33 Tettigonioidea. 9 species are recorded in the county for the first time (Chorthippus mollis, Ch. montanus, Ch. vagans, Euchorthippus pulvinatus, Stenobothrus stigmaticus, Tetrix tuerki, Isophya kraussii, Metrioptera brachyptera, Pholidoptera frivaldszkyi. Isophya kraussii kraussii is a new subspecies for the fauna of Romania. Correct original spelling of the name of Ph. frivaldszkyi (Herman, 1871 is fixed.

  14. Safety Standards Plan for Middlesex County Vocational & Technical High Schools.

    Science.gov (United States)

    Sommer, Cy

    This vocational education safety standards plan outlines rules and regulations adopted by the Board of Education of Middlesex County Vocational and Technical High Schools. The first of eleven chapters presents demographics and a safety organization table for Middlesex County Vocational and Technical Schools. In chapter 2, six safety program…

  15. Cancer mortality in a Texas county with prior uranium mining and milling activities, 1950-2001

    International Nuclear Information System (INIS)

    Boice, John D Jr; Mumma, Michael; Schweitzer, Sarah; Blot, William J

    2003-01-01

    Uranium was discovered in Karnes County, Texas, in 1954 and the first uranium mill began operating in 1961 near Falls City. Uranium milling and surface and in situ mining continued in Karnes County until the early 1990s. Remediation of uranium tailings ponds was completed in the 1990s. There were three mills and over 40 mines operating in Karnes County over these years and potential exposure to the population was from possible environmental releases into the air and ground water. From time to time concerns have been raised in Karnes County about potential increased cancer risk from these uranium mining and milling activities. To evaluate the possibility of increased cancer deaths associated with these uranium operations, a mortality survey was conducted. The numbers and rates of cancer deaths were determined for Karnes County and for comparison for four 'control' counties in the same region with similar age, race, urbanisation and socioeconomic distributions reported in the 1990 US Census. Comparisons were also made with US and Texas general population rates. Following similar methods to those used by the National Cancer Institute, standardised mortality ratios (SMRs) were computed as the ratio of observed numbers of cancers in the study and control counties compared to the expected number derived from general population rates for the United States. Relative risks (RRs) were computed as the ratios of the SMRs for the study and the control counties. Overall, 1223 cancer deaths occurred in the population residing in Karnes County from 1950 to 2001 compared with 1392 expected based on general population rates for the US. There were 3857 cancer deaths in the four control counties during the same 52 year period compared with 4389 expected. There was no difference between the total cancer mortality rates in Karnes County and those in the control counties (RR = 1.0; 95% confidence interval 0.9-1.1). There were no significant increases in Karnes County for any cancer when

  16. An Appalachian portrait : black and white in Montgomery County, Virginia, before the Civil War

    OpenAIRE

    Grant, Charles L.

    1987-01-01

    Montgomery County, Virginia, is a southern Appalachian county founded in 1776. Throughout the county's antebellum history, as with most other regions of the South, four major population groups were visibly present. There were slaves, free blacks, white slaveowners, and white non-slaveowners. Little research has previously been conducted on the antebellum people of the Appalachian South. This work is a social history consisting of cross tabulations of data found in the county...

  17. Estimating coastal wetland gain and losses in Galveston County and Cameron County, Texas, USA.

    Science.gov (United States)

    Entwistle, Clare; Mora, Miguel A; Knight, Robert

    2018-01-01

    Coastal wetlands serve many important ecological services. One of these important ecological services is their use as storm buffers. Coastal wetlands provide habitat for migratory birds and aquatic species and can improve water quality. In the late 1990s, the US Fish and Wildlife Service (USFWS) published a study outlining the trends of coastal wetlands from the 1950s to early 1990s. In the present study, wetland gains and losses were calculated for Galveston County and Cameron County, Texas, USA, between 2001 and 2011. Maps from the National Land Cover Database were used to determine wetland areas for the years 2001, 2006, and 2011. ArcGIS was used to compare land cover between the study periods to determine overall wetland losses and gains. A statistical analysis was performed between wetland loss and population data to determine whether increased population density led to a higher loss of wetlands. Our analysis indicates that wetland loss is still occurring, however at a lower rate of loss (0.14%-0.18% annually) than the USFWS study predicted earlier (2.7%). In addition, the majority of wetland losses were due to conversion to upland areas. We found a positive correlation between increased population density and decreased wetland area; however, the trend was not significant. The present study shows how the majority of wetland loss in Galveston and Cameron counties is occurring as a result of increased upland areas. In addition, the present study shows that the use of online mapping systems can be used as a low-cost alternative to assess land changes when field tests are not feasible. Integr Environ Assess Manag 2018;14:120-129. © 2017 SETAC. © 2017 SETAC.

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

    Science.gov (United States)

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

    2015-12-01

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

  19. VT Data - Housing 2016, Chittenden County

    Data.gov (United States)

    Vermont Center for Geographic Information — 2016 spatial representation of residential structures and number of dwelling units (see use limitations) in Chittenden County. This is an updated version of the 2015...

  20. 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...

  1. 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,...

  2. Oil price fluctuations and employment in Kern County: A Vector Error Correction approach

    International Nuclear Information System (INIS)

    Michieka, Nyakundi M.; Gearhart, Richard

    2015-01-01

    Kern County is one of the country's largest oil producing regions, in which the oil industry employs a significant fraction of the labor force in the county. In this study, the short- and long-run effects of oil price fluctuations on employment in Kern County are investigated using a Vector Error Correction model (VECM). Empirical results over the period 1990:01 to 2015:03 suggest long-run causality running from both WTI and Brent oil prices to employment. No causality is detected in the short-run. Kern County should formulate appropriate policies, which take into account the fact that changes in oil prices have long-term effects on employment rather than short term. - Highlights: • Kern County is California's largest oil producing region. • Historical data has shown increased employment during periods of high oil prices. • We study the short- and long run effects of oil prices on employment in Kern County. • Results suggest long run causality running from WTI and Brent to employment. • No causality is detected in the short run.

  3. Nye County, Nevada 1992 nuclear waste repository program: Program overview. Final report

    International Nuclear Information System (INIS)

    1998-01-01

    The purpose of this document is to provide an overview of the Nye County FY92 Nuclear Waste Repository Program (Program). Funds to pay for Program costs will come from the Federal Nuclear Waste Fund, which was established under the Nuclear Waste Policy Act of 1982 (NWPA). In early 1983, the Yucca Mountain was identified as a potentially suitable site for the nation's first geologic repository for spent reactor fuel and high-level radioactive waste. Later that year, the Nye County Board of County Commissioners (Board) established the capability to monitor the Federal effort to implement the NWPA and evaluate the potential impacts of repository-related activities on Nye County. Over the last eight years, the County's program has grown in complexity and cost in order to address DOE's evolving site characterization studies, and prepare for the potential for facility construction and operation. Changes were necessary as well, in response to Congress's redirection of the repository program specified in the amendments, to the NWPA approved in 1987. In early FY 1991, the County formally established a project office to plan and implement its program of work. The Repository Project Office's (RPO) mission and functions are provided in Section 2.0. The RPO organization structure is described in Section 3.0

  4. Identifying county characteristics associated with resident well-being: A population based study.

    Directory of Open Access Journals (Sweden)

    Brita Roy

    Full Text Available Well-being is a positively-framed, holistic assessment of health and quality of life that is associated with longevity and better health outcomes. We aimed to identify county attributes that are independently associated with a comprehensive, multi-dimensional assessment of individual well-being.We performed a cross-sectional study examining associations between 77 pre-specified county attributes and a multi-dimensional assessment of individual US residents' well-being, captured by the Gallup-Sharecare Well-Being Index. Our cohort included 338,846 survey participants, randomly sampled from 3,118 US counties or county equivalents.We identified twelve county-level factors that were independently associated with individual well-being scores. Together, these twelve factors explained 91% of the variance in individual well-being scores, and they represent four conceptually distinct categories: demographic (% black; social and economic (child poverty, education level [county-level factors explained the majority of variation in resident well-being.

  5. 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...

  6. 76 FR 55161 - Boston and Maine Corporation-Abandonment Exemption-Middlesex County, Mass.; Springfield Terminal...

    Science.gov (United States)

    2011-09-06

    ...\\ Docket No. AB 355; Sub-No. 39X] Boston and Maine Corporation--Abandonment Exemption--Middlesex County, Mass.; Springfield Terminal Railway Company; Discontinuance of Service Exemption; Middlesex County, MA... Middlesex County, Mass. The line traverses United States Postal Service Zip Codes 02471 and 02138...

  7. Hydrogeology and Analysis of Aquifer Characteristics in West-Central Pinellas County, Florida

    National Research Council Canada - National Science Library

    Broska, James C; Barnette, Holly L

    1999-01-01

    The U.S. Geological Survey, in cooperation with Pinellas County, Florida, conducted an investigation to describe the hydrogeology and analyze the aquifer characteristics in west-central Pinellas County...

  8. Well Inventory and Geophysical Logging of Selected Wells in Troup County, Georgia, 2007-2008

    Science.gov (United States)

    Peck, Michael F.; Leeth, David C.; Hamrick, Michael D.

    2008-01-01

    The U.S. Geological Survey (USGS) - in cooperation with the Troup County Board of Commissioners - conducted a well inventory to provide information to help evaluate ground-water resources for Troup County, Georgia. In addition, borehole geophysical logs were collected in selected wells to provide a better understanding of the subsurface geologic and water-bearing characteristics in specific areas of interest. This investigation provides information to help guide future ground-water development and water-management decisions for Troup County while enhancing understanding of the hydrogeology of fractured rocks in the Piedmont physiographic province. This report presents well data compiled from USGS files and from site visits to wells during November and December 2007. Data were entered into the USGS National Water Information System (NWIS) and made available on the Web at http://waterdata.usgs.gov/ga/nwis/inventory. Previous studies of ground-water resources have been conducted in the vicinity, but did not include Troup County. The ground-water resources of Heard and Coweta Counties, located north and northeast, respectively, of Troup County were part of a larger study by Cressler and others (1983) that encompassed the Greater Atlanta Region. That study evaluated the quantity and quality of ground water in the Atlanta region and described the methods that could be used for locating high-yielding wells in the Piedmont Province. The geology underlying the Atlanta area is similar to that underlying Troup County. Clarke and Peck (1990) conducted a similar investigation that included Meriwether and Coweta Counties, located to the east and northeast of Troup County.

  9. Government Districts, Other, Sedgwick County Board of County Commissioner district boundaries. Derived from countywide Elections coverage. Primary attributes include District number and respresentative name. Includes district number annotation. Published to scbocc_a.shp., Published in 2008, 1:1200 (1in=100ft) scale, Sedgwick County Government.

    Data.gov (United States)

    NSGIC Local Govt | GIS Inventory — Government Districts, Other dataset current as of 2008. Sedgwick County Board of County Commissioner district boundaries. Derived from countywide Elections coverage....

  10. 2004 Harrison County, Mississippi Lidar Mapping

    Data.gov (United States)

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

  11. Rationalization of Public Road Passenger Transport by Merging Bus Lines on the Example of Zadar County

    OpenAIRE

    Goran Kos; Predrag Brlek; Igor Franolić

    2012-01-01

    This study consists of the analysis of public passenger transport in Zadar County, that is, transport on the County and school lines and suggestions of transport rationalization. The rationalization comprises the application of the County and school lines integration, as well as suggestions of other measures which aim to reduce transport costs financed by Zadar County. The objectives to rationalize public passenger transport have been defined, all County transport lines of schoolchildren and ...

  12. Heterogeneous Costs of Alcohol and Drug Problems Across Cities and Counties in California

    Science.gov (United States)

    Miller, Ted R.; Nygaard, Peter; Gaidus, Andrew; Grube, Joel W.; Ponicki, William R.; Lawrence, Bruce A.; Gruenewald, Paul J.

    2017-01-01

    Background Estimates of economic and social costs related to alcohol and other drug (AOD) use and abuse are usually made at state and national levels. Ecological analyses demonstrate, however, that substantial variations exist in the incidence and prevalence of AOD use and problems including impaired driving, violence, and chronic disease between smaller geopolitical units like counties and cities. This study examines the ranges of these costs across counties and cities in California. Methods We used estimates of the incidence and prevalence of AOD use, abuse and related problems to calculate costs in 2010 dollars for all 58 counties and an ecological sample of 50 cities with populations between 50,000 and 500,000 persons in California. The estimates were built from archival and public-use survey data collected at state, county and city-levels over the years from 2009 to 2010. Results Costs related to alcohol use and related problems exceeded those related to illegal drugs across all counties and most cities in the study. Substantial heterogeneities in costs were observed between cities within counties. Conclusions AOD costs are heterogeneously distributed across counties and cities, reflecting the degree to which different populations are engaged in use and abuse across the state. These findings provide a strong argument for the distribution of treatment and prevention resources proportional to need. PMID:28208210

  13. Mine and prospect map of the Vermilion Cliffs-Paria Canyon Instant Study Area and adjacent wilderness areas, Coconino County, Arizona, and Kane County, Utah

    Science.gov (United States)

    Lane, Michael

    1983-01-01

    Vermilion Cliffs-Paria Canyon Instant Study Area and adjacent wilderness areas are mostly in Coconino County Ariz., but extend into Kane County, Utah. The area studied in this report encompasses about 560 mi2 (1,450 km2). The study area includes the established Paria Canyon Primitive and Vermilion Cliffs Natural Areas between U.S. Highways 89 and 89A.

  14. 78 FR 29657 - Prevailing Rate Systems; Definition of Vanderburgh County, Indiana, to a Nonappropriated Fund...

    Science.gov (United States)

    2013-05-21

    ...-AM82 Prevailing Rate Systems; Definition of Vanderburgh County, Indiana, to a Nonappropriated Fund... County, IN; and Jefferson and Pulaski Counties, MO. The Federal Prevailing Rate Advisory Committee, the... as follows: [[Page 29658

  15. Effects of septic-tank effluent on ground-water quality in northern Williamson County and southern Davidson County, Tennessee

    Science.gov (United States)

    Hanchar, D.W.

    1991-01-01

    An investigation of the potential contamination of ground water from septic tank systems blasted in bedrock in Williamson and Davidson Counties, Tennessee, was conducted during 1988-89. Water samples were collected from domestic and observation wells, springs, and surface-water sites in a residential subdivision in the northern part of Williamson County near Nashville. The subdivision has a high density of septic-tank field lines installed into blasted bedrock Water samples also were collected from a well located in an area of Davidson County where field lines were installed in 5 feet of soil. Samples were analyzed for major inorganic constituents, nutrients, total organic carbon, optical brighteners, and bacteria. Although results of analyses of water samples from wells indicate no effect of septic-tank effluent on ground-water quality at these sites, water from two springs located downgradient from the subdivision had slightly larger concentrations of nitrite plus nitrate (2.2 and 2.7 milligrams per liter N), and much larger concentrations of fecal coliform and fecal streptococci bacteria (2,000 to 3,200 and 700 to 900 colonies per 100 milliliters of sample, respectively), than other wells and springs sampled during 1988. Water from one of these springs contained optical brighteners, which indicates that septic-tank effluent is affecting ground-water quality.

  16. Financing Adult Education: How Adequate Are Current Sources in Facilitating Access and Participation in Centres in Murang'a South Sub-County, Murang'a County, Kenya?

    Science.gov (United States)

    Maina, Ndonga James; Orodho, John Aluko

    2016-01-01

    The thrust of this study was to examine the level of adequacy of current sources in facilitating access and participation in adult education centres in Murang'a South Sub-County, Murang'a County, Kenya. The study adopted the descriptive survey design. Combinations of purposive and stratified random sampling techniques were used to select 82…

  17. The Pragmatic Idealist: Valerie Gross--Howard County Library, Columbia, MD

    Science.gov (United States)

    Library Journal, 2004

    2004-01-01

    In the two years since Valerie Gross became director of the Howard County Library (HCL), it has won the county's Community Organization of the Year award, its Accessibility Award, and its Chamber of Commerce's Non-Profit Business of the Year ACE award for contributions to education, economic development, and quality of life. And for the first…

  18. 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...

  19. 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...

  20. 76 FR 15214 - Special Local Regulations for Marine Events; Potomac River, Charles County, MD

    Science.gov (United States)

    2011-03-21

    ...-AA08 Special Local Regulations for Marine Events; Potomac River, Charles County, MD AGENCY: Coast Guard... for Marine Events; Potomac River, Charles County, MD'' in the Federal Register (76 FR 1381). We... follows: Sec. 100.35-T05-1113 Special Local Regulations for Marine Events; Potomac River, Charles County...

  1. 40 CFR 62.7856 - Albuquerque/Bernalillo County Air Quality Control Board.

    Science.gov (United States)

    2010-07-01

    ... Quality Control Board. 62.7856 Section 62.7856 Protection of Environment ENVIRONMENTAL PROTECTION AGENCY... Albuquerque/Bernalillo County Air Quality Control Board. (a) Identification of Plan. Albuquerque-Bernalillo... County Air Quality Control Board on November 9, 2005. (b) Identification of Sources. The plan applies to...

  2. Widespread recent increases in county-level heart disease mortality across age groups.

    Science.gov (United States)

    Vaughan, Adam S; Ritchey, Matthew D; Hannan, Judy; Kramer, Michael R; Casper, Michele

    2017-12-01

    Recent national trends show decelerating declines in heart disease mortality, especially among younger adults. National trends may mask variation by geography and age. We examined recent county-level trends in heart disease mortality by age group. Using a Bayesian statistical model and National Vital Statistics Systems data, we estimated overall rates and percent change in heart disease mortality from 2010 through 2015 for four age groups (35-44, 45-54, 55-64, and 65-74 years) in 3098 US counties. Nationally, heart disease mortality declined in every age group except ages 55-64 years. County-level trends by age group showed geographically widespread increases, with 52.3%, 58.5%, 69.1%, and 42.0% of counties experiencing increases with median percent changes of 0.6%, 2.2%, 4.6%, and -1.5% for ages 35-44, 45-54, 55-64, and 65-74 years, respectively. Increases were more likely in counties with initially high heart disease mortality and outside large metropolitan areas. Recent national trends have masked local increases in heart disease mortality. These increases, especially among adults younger than age 65 years, represent challenges to communities across the country. Reversing these trends may require intensification of primary and secondary prevention-focusing policies, strategies, and interventions on younger populations, especially those living in less urban counties. Published by Elsevier Inc.

  3. 77 FR 14032 - John H. Chafee Coastal Barrier Resources System; Lee County, FL, and Newport County, RI...

    Science.gov (United States)

    2012-03-08

    ... conduct a comprehensive review of the history of the CBRS unit in question. The Service has a large... by Lee County, and 1 restaurant. The Service's assessment of 2011 aerial imagery estimates that the...

  4. Expected indoor 222Rn levels in counties with very high and very low lung cancer rates

    International Nuclear Information System (INIS)

    Cohen, B.L.

    1989-01-01

    Counties in the US with high lung cancer rates should have higher average 222 Rn levels than counties with low lung cancer rates, assuming the average 222 Rn level in a county is not correlated with other factors that cause lung cancer. The magnitude of this effect was calculated, using the absolute risk model, the relative risk model, and an intermediate model, for females who died in 1950-1969. The results were similar for all three models. We concluded that, ignoring migration, the average Rn level in the highest lung cancer counties should be about three times higher than in the lowest lung cancer counties according to the theory. Preliminary data are presented indicating that the situation is quite the opposite: The average Rn level in the highest lung cancer counties was only about one-half that in the lowest lung cancer counties

  5. Case study: Khoramdareh County

    Directory of Open Access Journals (Sweden)

    Vahid Riahi Riahi

    2016-10-01

    Full Text Available Environmental sustainability of rural settlements based on a systematic viewpoint may be defined as a realization of sustainable development in different social, economic and environmental aspects of rural areas. Achieving this goal requires that we pay more attention to effective elements and factors through a set of sustainability indices. This research was meant to analyze sustainable factors of rural settlement in three dimensions: environmental, social and economic context using multi-criteria decision analysis and explanation of the relationships between its active and effective factors in the rural area of the Khorramdarreh County in the province of Zanjan. The research method used is the descriptive analytic approach. Data from 287 households were sampled randomly from a total of 1143 households in the four villages including: Rahmat Abad, Alvand, Baghdareh and, Sukhariz (out of 15 villages in the Khorramdarreh County. In the process of doing this research and after calculating the weights, the difference in the sustainability of environmental, social, economic and physical aspects in rural areas of this county have been determined. Data was collected using library and field research through questionnaires. Data analysis was performed by the One-Sample t Test and the Vikur and path analysis techniques, using statistical software SPSS. The findings show that environmental sustainability in the study area is half desirable. Among the different aspects of environmental sustainability, the most effective factors are physical, economic, social and environmental aspects, respectively. Little attention of policy-making –system to socio-cultural and environmental aspects, especially in practice, and rapid and unplanned utilization of production resources are the most important factors affecting this situation in two given dimensions. Although, in programmed documents the planning system agents emphasize on the socio-cultural sustainability

  6. Location of odor sources and the affected population in Imperial County, California

    Energy Technology Data Exchange (ETDEWEB)

    Hahn, J.L.

    1981-08-01

    This report is divided into four sections. The first two sections contain general background information on Imperial County. The third section is a general discussion of odor sources in Imperial County, and the fourth maps the specific odor sources, the expected areas of perception, and the affected populations. this mapping is done for the Imperial Valley and each of the four Imperial County KGRA's (Known Geothermal Resource Areas) where odor from the development of the geothermal energy may affect population.

  7. Assessment of ebola virus disease, health care infrastructure, and preparedness - four counties,Southeastern Liberia, august 2014.

    Science.gov (United States)

    Forrester, Joseph D; Pillai, Satish K; Beer, Karlyn D; Neatherlin, John; Massaquoi, Moses; Nyenswah, Tolbert G; Montgomery, Joel M; De Cock, Kevin

    2014-10-10

    Ebola virus disease (Ebola) is a multisystem disease caused by a virus of the genus Ebolavirus. In late March 2014, Ebola cases were described in Liberia, with epicenters in Lofa County and later in Montserrado County. While information about case burden and health care infrastructure was available for the two epicenters, little information was available about remote counties in southeastern Liberia. Over 9 days, August 6-14, 2014, Ebola case burden, health care infrastructure, and emergency preparedness were assessed in collaboration with the Liberian Ministry of Health and Social Welfare in four counties in southeastern Liberia: Grand Gedeh, Grand Kru, River Gee, and Maryland. Data were collected by health care facility visits to three of the four county referral hospitals and by unstructured interviews with county and district health officials, hospital administrators, physicians, nurses, physician assistants, and health educators in all four counties. Local burial practices were discussed with county officials, but no direct observation of burial practices was conducted. Basic information about Ebola surveillance and epidemiology, case investigation, contact tracing, case management, and infection control was provided to local officials.

  8. An annotated checklist of the vascular flora of Washington County Mississippi

    Science.gov (United States)

    Field explorations have yielded 257 species new to Washington County, Mississippi and Calandrinia ciliata (Ruiz & Pav.) DC. and Ruellia nudiflora (Engelm. & Gray) Urban new to the state. An annotated list of 796 taxa for Washington County is provided and excludes 62 species that were reported from ...

  9. Economic effects of Ohio's smoke-free law on Kentucky and Ohio border counties.

    Science.gov (United States)

    Pyles, Mark K; Hahn, Ellen J

    2011-01-01

    To determine if the Ohio statewide smoke-free law is associated with economic activity in Ohio or Kentucky counties that lie on the border between the two states. In November 2006, Ohio implemented a comprehensive statewide smoke-free law for all indoor workplaces. A feasible generalised least squares (FLGS) time series design to estimate the impact of the Ohio smoke-free law on Kentucky and Ohio border counties. Six Kentucky and six Ohio counties that lie on the border between the two states. All reporting hospitality and accommodation establishments in all Kentucky and Ohio counties including but not limited to food and drinking establishments, hotels and casinos. Total number of employees, total wages paid and number of reported establishments in all hospitality and accommodation services, 6 years before Ohio's law and 1 year after. There is no evidence of a disproportionate change in economic activity in Ohio or Kentucky border counties relative to their non-border counterparts. There was no evidence of a relation between Ohio's smoke-free law and economic activity in Kentucky border counties. The law generated a positive influence on wages and number of establishments in Ohio border counties. The null result cannot be explained by low test power, as minimum changes necessary in the dependent variables to detect a significant influence are very reasonable in size. Our data add to the large body of evidence that smoke-free laws are neutral with respect to the hospitality business across jurisdictions with and without laws.

  10. County business patterns, 1997 : Puerto Rico

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  11. County business patterns, 1997 : New Mexico

    Science.gov (United States)

    1999-09-01

    County Business Patterns is an annual series that provides : subnational economic data by industry. The series is : useful for studying the economic activity of small areas; : analyzing economic changes over time; and as a benchmark : for statistical...

  12. 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...

  13. Agreement Between Community College of Beaver County and Community College of Beaver County Society of the Faculty (PSEA/NEA). September 1, 1972 to August 31, 1974.

    Science.gov (United States)

    Beaver County Community Coll., Monaca, PA.

    This document contains the agreement between the Community College of Beaver County and the Community College of Beaver County Society of the Faculty for the period from September 1, 1972 through August 31, 1974. Contained in the articles of the agreement are sections covering academic freedom, grievance procedures, rights of faculty, use of…

  14. 75 FR 51841 - Notice of Realty Action: Proposed sale of Public Lands, Churchill County, NV

    Science.gov (United States)

    2010-08-23

    ... Lands, Churchill County, NV AGENCY: Bureau of Land Management, Interior. ACTION: Notice of realty action... value, approximately 800 acres of public lands in Churchill County, Nevada, through direct [email protected] . SUPPLEMENTARY INFORMATION: The following described public lands in Churchill County...

  15. 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...

  16. 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...

  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. 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),...

  19. 76 FR 31679 - Saratoga and North Creek Railway, LLC-Operation Exemption-Warren County, NY

    Science.gov (United States)

    2011-06-01

    ... that it is negotiating the terms of an agreement with the County to restore common carrier rail freight... operate approximately 39.07 miles of rail line owned by Warren County, NY (the County), a noncarrier... Class III rail carrier and a subsidiary of Permian Basin Railways, Inc., which in turn is owned by Iowa...

  20. A successful turnaround in Dade County

    Energy Technology Data Exchange (ETDEWEB)

    Frank, H. (Architecture Montenay Inc., Miami, FL (USA))

    1988-10-01

    When Dade County, Fla., decided to build a waste-to-energy plant, little did it known what a stink it would bring. Odor problems and seagulls plagued the neighborhood, emissions exceeded regulatory standards, and wind-blown garbage littered the facility. Maintenance costs rose and electricity sales never came close to its rated capacity. The residents called for a change, and they got it. After a new operator took over the plant, some of the problems were quickly solved. Other problems, which required substantial capital improvements to solve, were clearly identified. And after Dade County approved a new contract with $45 million in improvements, the facility is back on track to meeting the community's needs in an acceptable manner. The paper describes the original plant design, early problems, improved operation, present plant operation, and the Plant Rehabilitation Program.

  1. CONVENTIONAL RESOURCES OF BIHOR COUNTY AND THE IMPLICATIONS OF THEIR USE

    Directory of Open Access Journals (Sweden)

    Diana Perticas

    2016-12-01

    Full Text Available The importance of achieving a sustainable development was greatly discussed during the last decades, especially due to the negative implications of pollution on the surrounding environment. During such conferences each country was requested to cut down the pollution level. Of course, ideal would be that this diminishing of green house effect gases to be obtained by gradually replacing the present resources we use with those less damaging to the entire planet, replacement which, as we know, cannot be done as a whole, at least not now. In this paper we have focused our attention on the county of Bihor from Romania, county that has both conventional resources, which, as it may be seen here, are heavily exploited, and also important unconventional ones. The paper has two parts: the first part presents in a nutshell the natural background of Bihor County as well as the existent conventional resources and the situation generated by the exploitation of such resources in order to assure the thermal comfort of the inhabitants. In the second part we describe a scenario about the emissions of CO2 in Bihor County, under the conditions of assuring the peoples’ thermal comfort only by burning fossil fuels. The scenario starts from existent data about the average quantity of thermal energy used by one inhabitant of Bihor County corroborated with the manner of obtaining the thermal energy in this part of the country. What it is intended to highlight in this work are the strong ecological implications (and, implicitly the deriving economic and social ones of using conventional resources in this area, considering that Bihor County sits on a large geothermal water basin.

  2. Indian Point Nuclear Power Station: verification analysis of County Radiological Emergency-Response Plans

    International Nuclear Information System (INIS)

    Nagle, J.; Whitfield, R.

    1983-05-01

    This report was developed as a management tool for use by the Federal Emergency Management Agency (FEMA) Region II staff. The analysis summarized in this report was undertaken to verify the extent to which procedures, training programs, and resources set forth in the County Radiological Emergency Response Plans (CRERPs) for Orange, Putnam, and Westchester counties in New York had been realized prior to the March 9, 1983, exercise of the Indian Point Nuclear Power Station near Buchanan, New York. To this end, a telephone survey of county emergency response organizations was conducted between January 19 and February 22, 1983. This report presents the results of responses obtained from this survey of county emergency response organizations

  3. Hydrology, water quality, and effects of drought in Monroe County, Michigan

    Science.gov (United States)

    Nicholas, J.R.; Rowe, Gary L.; Brannen, J.R.

    1996-01-01

    Monroe County relies heavily on its aquifers and streams for drinking water, irrigation, and other ~ses; however, increased water use, high concentrations of certain constituents in ground water, and droughts may limit the availability of water resources. Although the most densely populated parts of the county use water from the Great Lakes, large amounts of ground water are withdrawn for quarry dewatering, domestic supply, and irrigation.Unconsolidated deposits and bedrock of Silurian and Devonian age underlie Mon_roe County. The unconsolidated deposits are mostly clayey and less than 50 feet thick. Usable amounts of ground water generally are obtained from thin, discontinuous surficial sand deposits or, in the northwestern part of the county, from deep glaciofluvial deposits. In most of the county, however, ground water in unconsolidated deposits is highly susceptible to effects of droughts and to contamination.The bedrock is mostly carbonate rock, and usable quantities of ground water can be obtained from fractures and other secondary openings throughout the county. Transmissivities of the Silurian-Devonian aquifer range from 10 to 6,600 feet squared per day. Aquifer tests and historical informati.on indicate that the Silurian-Devonian aquifer is confmed throughout most of the county. The major recharge area for the Silurian-Devonian aquifer in Monroe County is in the southwest, and groundwater flow is mostly southeastward toward Lake Erie. In the northeastern and southeastern parts of the county, the potentiometric surface of the SilurianDevonian aquifers has been lowered by pumpage to below the elevation of Lake Erie.Streams and artificial drains in Monroe County are tributary to Lake Erie. Most streams are perennial because of sustained discharge from the sand aquifer and the Silurian-Devonian aquifer; however, the lower reaches of River Raisin and Plum Creek lost water to the Silurian-Devonian aquifer in July 1990.The quality of ground water and of

  4. Health Needs Assessment of Plain Populations in Lancaster County, Pennsylvania.

    Science.gov (United States)

    Miller, Kirk; Yost, Berwood; Abbott, Christina; Thompson, Scottie; Dlugi, Emily; Adams, Zachary; Schulman, Meryl; Strauss, Nicole

    2017-02-01

    We performed a health needs assessment for three Plain communities in Lancaster County, Pennsylvania from a random sample of households. Compared with the general population of adults, Plain respondents were more likely to be married, to have children, and they had large families; they were more likely to drink well water, to eat fruit and vegetables, to drink raw milk, and to live on a farm. Plain respondents had better physical and mental health and were less likely to have been diagnosed with various medical conditions compared with the general population of adults in Lancaster County but Old Order Mennonite respondents were more likely to have been diagnosed compared with Old Order Amish respondents. Plain respondents usually have a regular doctor and often receive preventive care but Old Order Mennonite respondents were more likely to have a regular doctor, to receive preventive care, to have had their children vaccinated, and to receive routine dental care compared with Old Order Amish respondents. Despite their relative geographic and genetic isolation, and despite the small, relative differences noted, the health of Plain communities in Lancaster County is similar to that of other adults in the County.

  5. Suicide in Brazil, 2004-2010: the importance of small counties.

    Science.gov (United States)

    Marín-León, Letícia; Oliveira, Helenice Bosco de; Botega, Neury José

    2012-11-01

    To describe suicide rates by county size in the five geopolitical areas of Brazil. This was an ecological, descriptive study of suicide deaths in Brazil that occurred among the population 10 years of age and older in 2004-2010. Data were obtained from the National Mortality Information System of Brazil. Counties were defined by size as: very large (200,000+), large (interval were used to compare suicide risk between groups and the reference. The national, average suicide mortality rate was 5.7 deaths/100,000 inhabitants. Except in the North and North-East, suicide mortality rates increased from the very large (> 200,000) to the micro counties ( 30 deaths per 100,000). At highest risk were micro counties in the South (13.6 deaths per 100,000), with elderly males (60+ years, 31.4) and males 40-59 years (31.3) being the sex/age group with the highest rates. To reduce suicide mortality in Brazil, public health authorities must support mental health training in small cities and multi-professional interventions among the indigenous peoples. In addition, the causes behind underreporting of suicide deaths must be resolved in several areas.

  6. 78 FR 4804 - Revision to the Washington State Implementation Plan; Tacoma-Pierce County Nonattainment Area

    Science.gov (United States)

    2013-01-23

    ... Washington State Implementation Plan; Tacoma- Pierce County Nonattainment Area AGENCY: Environmental... Tacoma-Pierce County nonattainment area for the 2006 fine particulate matter (PM 2.5 ) National Ambient... Rules.'' The updated PSCAA rules help implement the recommendations of the Tacoma-Pierce County Clean...

  7. Design of a Municipal Yard Waste Composting Facility for Anderson County, South Carolina

    National Research Council Canada - National Science Library

    Klapmeyer, Michael

    2003-01-01

    .... Large-scale composting is a proven method by which Anderson County can demonstrate sound environmental stewardship while drastically reducing the volume of waste entering county landfills, thereby...

  8. Temperature, ozone, and mortality in urban and non-urban counties in the northeastern United States.

    Science.gov (United States)

    Madrigano, Jaime; Jack, Darby; Anderson, G Brooke; Bell, Michelle L; Kinney, Patrick L

    2015-01-07

    Most health effects studies of ozone and temperature have been performed in urban areas, due to the available monitoring data. We used observed and interpolated data to examine temperature, ozone, and mortality in 91 urban and non-urban counties. Ozone measurements were extracted from the Environmental Protection Agency's Air Quality System. Meteorological data were supplied by the National Center for Atmospheric Research. Observed data were spatially interpolated to county centroids. Daily internal-cause mortality counts were obtained from the National Center for Health Statistics (1988-1999). A two-stage Bayesian hierarchical model was used to estimate each county's increase in mortality risk from temperature and ozone. We examined county-level associations according to population density and compared urban (≥1,000 persons/mile(2)) to non-urban (PI: 0.08, 0.83) in urban counties, while this same increase in ozone was associated with a 0.73% increase (95% PI: 0.19, 1.26) in non-urban counties. An increase in temperature from 70°F to 90°F (21.2°C 32.2°C) was associated with a 8.88% increase in mortality (95% PI: 7.38, 10.41) in urban counties and a 8.08% increase (95% PI: 6.16, 10.05) in non-urban counties. County characteristics, such as population density, percentage of families living in poverty, and percentage of elderly residents, partially explained the variation in county-level associations. While most prior studies of ozone and temperature have been performed in urban areas, the impacts in non-urban areas are significant, and, for ozone, potentially greater. The health risks of increasing temperature and air pollution brought on by climate change are not limited to urban areas.

  9. 76 FR 64941 - Notice of Cancellation of Environmental Impact Statement for the Proposed Hyde County Wind Energy...

    Science.gov (United States)

    2011-10-19

    ... Environmental Impact Statement for the Proposed Hyde County Wind Energy Center Project, Hyde County, SD AGENCY... design, construct, operate, and maintain a 150-megawatt Hyde County Wind Energy Center Project (Project... terminated the NEPA process for NextEra's proposed Hyde County Wind Energy Center Project with the...

  10. Projecting county pulpwood production with historical production and macro-economic variables

    Science.gov (United States)

    Consuelo Brandeis; Dayton M. Lambert

    2014-01-01

    We explored forecasting of county roundwood pulpwood produc-tion with county-vector autoregressive (CVAR) and spatial panelvector autoregressive (SPVAR) methods. The analysis used timberproducts output data for the state of Florida, together with a set ofmacro-economic variables. Overall, we found the SPVAR specifica-tion produced forecasts with lower error rates...

  11. 76 FR 23708 - Safety Zone; Pierce County Department of Emergency Management Regional Water Exercise, East...

    Science.gov (United States)

    2011-04-28

    ...-AA00 Safety Zone; Pierce County Department of Emergency Management Regional Water Exercise, East... the Regional Water Rescue Exercise. Basis and Purpose The Pierce County, Washington, Department of... to read as follows: Sec. 165.T13-0251 Safety Zone; Pierce County Department of Emergency Management...

  12. 75 FR 32855 - Safety Zone; Pierce County, WA, Department of Emergency Management, Regional Water Exercise

    Science.gov (United States)

    2010-06-10

    ...-AA00 Safety Zone; Pierce County, WA, Department of Emergency Management, Regional Water Exercise AGENCY: Coast Guard, DHS. ACTION: Temporary final rule. SUMMARY: The Pierce County, Washington, Department of... immediate action is necessary to ensure safety of participants in the Pierce County Regional Water Rescue...

  13. 75 FR 8735 - Endangered and Threatened Wildlife and Plants; Permit, San Luis Obispo County, CA

    Science.gov (United States)

    2010-02-25

    ...] Endangered and Threatened Wildlife and Plants; Permit, San Luis Obispo County, CA AGENCY: Fish and Wildlife... Luis Obispo County, California. We invite comments from the public on the application, which includes a... Luis Obispo County, California, that will meet Americans with Disabilities Act (ADA) accessibility...

  14. The evolving fresh market berry industry in Santa Cruz and Monterey counties

    Directory of Open Access Journals (Sweden)

    Laura Tourte

    2016-08-01

    Full Text Available The fresh market berry industry in Santa Cruz and Monterey counties has contributed significantly to the agricultural vibrancy of the two counties and the state of California. Dramatic growth in strawberry, raspberry and blackberry production has been documented over the last 50 years, and most notably since the 1980s. Factors influencing this growth include innovations in agricultural practices and heightened consumer demand. Here, we review the historical context for the berry industry in Santa Cruz and Monterey counties. Organic production, production economics and challenges for the future are also discussed.

  15. 77 FR 55496 - Notice of Temporary Closure of Public Lands in Eastern Lassen County, California, and Western...

    Science.gov (United States)

    2012-09-10

    ... Temporary Closure of Public Lands in Eastern Lassen County, California, and Western Washoe County, Nevada...-managed public lands in the area affected by the Rush Fire in eastern Lassen County, California, and western Washoe County, Nevada, are closed to public access because of dangers posed by the Rush Fire...

  16. Research Progress and Prospect of County-wide Finance in China between 1991 and 2013 Based on Bibliometric Method

    Institute of Scientific and Technical Information of China (English)

    Qi HUANG; Jianping TAO

    2016-01-01

    In order to visually and comprehensively grasp scientific research progress of the county-wide finance in China,and explore new breakthrough point of county-wide finance studies,this paper took China National Knowledge Infrastructure( CNKI) database as research platform and made a bibliometrical study of literature indexed in CNKI between 1991 and 2013 by advanced search method. Results indicate that relevant researches take on the trend of firstly increasing then decreasing and finally steady; research hot spots mainly focus on county-wide finance and county-wide economy,county-wide inclusive finance,and county-wide finance exclusion. Based on literature review,it found subject research of county-wide finance and county-wide economic issue has become a relatively mature issue. The extension research of countywide finance exclusion and inclusive finance is devoted to remove finance exclusion. This research is a blind spot in this field and may become a breakthrough point of stimulating re-growth of county-wide finance researches.

  17. 28 CFR 55.9 - Coverage of political units within a county.

    Science.gov (United States)

    2010-07-01

    ... 28 Judicial Administration 2 2010-07-01 2010-07-01 false Coverage of political units within a... PROVISIONS OF THE VOTING RIGHTS ACT REGARDING LANGUAGE MINORITY GROUPS Nature of Coverage § 55.9 Coverage of political units within a county. Where a political subdivision (e.g., a county) is determined to be subject...

  18. INDUSTRIAL DIVERSIFICATION IN NONMETROPOLITAN COUNTIES AND ITS EFFECT ON ECONOMIC STABILITY

    OpenAIRE

    Smith, Stephen M.; Gibson, Cosette M.

    1988-01-01

    Applying indexes of economic instability and industrial diversification to Idaho's forty-three nonmetropolitan counties, this paper tests the hypothesis that unemployment is more stable in a more diverse economy. While results support the hypothesis, other aspects of a county's economic structure are just as influential. Indiscriminate diversification will not necessarily bring economic stability.

  19. Demographic ageing of the population in the County of Šibenik-Knin: grandparent boom

    Directory of Open Access Journals (Sweden)

    Snježana Mrđen

    2016-01-01

    Full Text Available This paper analyses demographic ageing of the population in the County of Šibenik-Knin by using basic demographic indicators based on data collected from population censuses from 1971 to 2011. It analyses spatial differentiation of the ageing process at the level of the County, micro-regions, towns/municipalities and settlements. The research also provides a comparison of population ageing in different counties of the Republic of Croatia, from which it is evident that the County of Šibenik-Knin, as well as the Country of Lika-Senj, has the oldest population in Croatia. Ageing in the County of Šibenik-Knin, which was triggered by extreme rural exodus that was most intensive from the end of 1960s to the early 1970s, as well as by continuous declining fertility rates and by inherited age composition, was recorded at all territorial levels of the County. Although the ageing process started in littoral area (Primorje, hinterland (Zagora experienced a faster and more intensive ageing. Based on numerous indicators of demographic ageing and its intensity, and compared with the point value indicators of ageing, it is evident that the population of the County of Šibenik-Knin is characterized by advanced old age. However, more than half of the observed settlements are characterized by very advanced or extremely advanced old age.

  20. 77 FR 3326 - Cancellation of Environmental Impact Statement in Orange County, NC

    Science.gov (United States)

    2012-01-23

    ... DEPARTMENT OF TRANSPORTATION Federal Highway Administration Cancellation of Environmental Impact Statement in Orange County, NC AGENCY: Federal Highway Administration (FHWA), North Carolina Department of... US 70 Business and US 70 Bypass in Orange County, North Carolina. The project is now cancelled...

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

    Energy Technology Data Exchange (ETDEWEB)

    NONE

    1998-01-01

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

  2. Community Environment and Education of Girls: The Case of Communities in Marsabit County, Kenya

    Science.gov (United States)

    Muyaka, Jafred

    2018-01-01

    The study sought to investigate the role of the community in inhibiting girls' access and participation in formal education in Marsabit County-Kenya. As one of the marginalized counties in Kenya, the county had among the highest rate of illiteracy in Kenya with 68 per cent of residents with no formal education. The study involved a total of 128…

  3. 2017 Sustainable LA Environmental Report Card for Los Angeles County: Energy & Air Quality

    OpenAIRE

    Federico, Felicia; Rauser, Casandra; Gold, Mark

    2017-01-01

    The 2017 Sustainable LA Environmental Report Card (ERC) for Los Angeles County (LA County) on Energy and Air Quality offers an in-depth look at the region’s sustainability efforts focusing on the energy we use, greenhouse gas emissions, and the air we breathe. The LA County Environmental Report Card is the only comprehensive environmental report card for a megacity in the world. This ERC assesses 21 indicators that fall into five categories: Stationary Energy Use; Transportation; Renewable En...

  4. Peer Evaluation of Teachers in Maricopa County's Teacher Incentive Fund Program

    Science.gov (United States)

    Milanowski, Anthony; Heneman, Herbert G., III; Finster, Matthew

    2015-01-01

    This case study describes the peer evaluation system the Maricopa County Educational Services Agency (MCESA) is using in the districts participating in its Teacher Incentive Fund (TIF) 3 and 4 grants. Maricopa County's TIF districts cover much of the Phoenix, Arizona, metropolitan area. Including both TIF 3 and 4 cohorts, 12 districts with a total…

  5. 78 FR 1713 - Golden Nematode; Removal of Regulated Areas in Livingston and Steuben Counties, NY

    Science.gov (United States)

    2013-01-09

    ...-0079] Golden Nematode; Removal of Regulated Areas in Livingston and Steuben Counties, NY AGENCY: Animal... are amending the golden nematode regulations by removing areas in Livingston and Steuben Counties in... areas in these two counties are free of golden nematode, and we have determined that regulation of these...

  6. Limerick, City and County

    OpenAIRE

    2011-01-01

    Postcard. Colour drawings of maps of Limerick city and county and Foynes - transatlantic air base flying boat, Dromore Castle, Glenstal Abbey, Ardagh Chalice, Askeaton; the Abbey, Gate Loge Adare Manor, Newcastlewest, King John's Castle, St. Mary's Cathedral (Church of Ireland), The Old Custom House, The Hunt Museum, The Old Mill and Bridge croom, The Coll (de Valera) Cottage Buree, Town Gate Kilmallock, Lough Gur Interpretive Centre, Hospital Ancient hostelry and The Treaty Stone. Copyright ...

  7. Geographic distribution of hospital beds throughout China: a county-level econometric analysis.

    Science.gov (United States)

    Pan, Jay; Shallcross, David

    2016-11-08

    Geographical distribution of healthcare resources is an important dimension of healthcare access. Little work has been published on healthcare resource allocation patterns in China, despite public equity concerns. Using national data from 2043 counties, this paper investigates the geographic distribution of hospital beds at the county level in China. We performed Gini coefficient analysis to measure inequalities and ordinary least squares regression with fixed provincial effects and additional spatial specifications to assess key determinants. We found that provinces in west China have the least equitable resource distribution. We also found that the distribution of hospital beds is highly spatially clustered. Finally, we found that both county-level savings and government revenue show a strong positive relationship with county level hospital bed density. We argue for more widespread use of disaggregated, geographical data in health policy-making in China to support the rational allocation of healthcare resources, thus promoting efficiency and equity.

  8. Effect of eliminating open defecation on diarrhoeal morbidity: an ecological study of Nyando and Nambale sub-counties, Kenya

    Directory of Open Access Journals (Sweden)

    John Njuguna

    2016-08-01

    Full Text Available Abstract Background Defecating in the open predisposes people to soil transmitted helminthes and diarrhoeal diseases. An estimated 5.6 million Kenyans defecate in the open. Kenya launched a program to eradicate open defecation by 2013 in the rural areas. By end of 2013, only two sub-counties had eliminated open defecation. These are Nambale and Nyando. The study looked at the impact of eradicating open defecation on diarrhea prevalence among children in these two sub-counties. Methods Data on diarrhoea morbidity among children under 5 years was extracted from the Kenya Health Information System for all the sub-counties in Busia and Kisumu counties for 2012, 2013 and 2014 respectively. Prevalence was calculated for each sub-county in Kisumu for comparison with Nyando’s. Prevalence was also calculated for each sub-county in Busia County and compared to that of Nambale sub-county. A Mann–Whitney U Test was done to test the null hypothesis that diarrhoea prevalence was similar in both open defecation and open defecation free sub-counties. Results A Mann–Whitney U Test revealed significant difference in diarrhoeal prevalence of open defecation sub-counties (Md = 18.4, n = 34 and open defecation free sub-counties (Md = 9.8, n = 5, U = 9, z = −3.2, p = .001. Among the two Counties, Nambale had the lowest prevalence. It recorded a decline from 9.8 to 5.7 % across the three years. Prevalence for diarrhoea cases in Nyando declined from 19.1 to 15.2 % across the three years. Nyando initially had the second highest prevalence in Kisumu County and by 2014 it had the lowest prevalence. Conclusions The two sub-counties with open defecation free status had lower prevalence of diarrhoea cases compared to sub-counties which were yet to attain open defecation free status. This suggests that elimination of open defecation may reduce the number of diarrhoea cases.

  9. 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,

  10. Rickettsia felis in cat fleas, Ctenocephalides felis parasitizing opossums, San Bernardino County, California.

    Science.gov (United States)

    Abramowicz, K F; Wekesa, J W; Nwadike, C N; Zambrano, M L; Karpathy, S E; Cecil, D; Burns, J; Hu, R; Eremeeva, M E

    2012-12-01

    Los Angeles and Orange Counties are known endemic areas for murine typhus in California; however, no recent reports of flea-borne rickettsioses are known from adjacent San Bernardino County. Sixty-five opossums (Didelphis virginiana) were trapped in the suburban residential and industrial zones of the southwestern part of San Bernardino County in 2007. Sixty out of 65 opossums were infested with fleas, primarily cat fleas, Ctenocephalides felis (Bouché, 1835). The flea minimum infection rate with Rickettsia felis was 13.3% in pooled samples and the prevalence was 23.7% in single fleas, with two gltA genotypes detected. In spite of historic records of murine typhus in this area, no evidence for circulation of R. typhi in fleas was found during the present study. Factors contributing to the absence of R. typhi in these cat fleas in contrast to its presence in cat fleas from Orange and Los Angeles Counties are unknown and need to be investigated further in San Bernardino County. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

  11. Demographic survey centered around the Nevada Test Site, Nye County, Nevada

    International Nuclear Information System (INIS)

    Richard-Haggard, K.

    1983-03-01

    Demographic data were gathered for several small population centers on and around the Nevada Test Site (NTS). Population projections were made for the three townships that include most of the major population centers in the study area, based on the share approach. These townships were Alamo Township (Lincoln County), Beatty and Pahrump townships (Nye County). It was estimated that the total population of these three townships, plus Clark County, would reach a maximum of 934,000 people by the year 2000. It was assumed that the on-site population of the NTS would continue to be a function of activity at the site, and that this would, if anything, aid in the attainment of site objectives

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

    Science.gov (United States)

    Alexander, Robert H.

    1983-01-01

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

  13. Falling behind: life expectancy in US counties from 2000 to 2007 in an international context

    Directory of Open Access Journals (Sweden)

    Ezzati Majid

    2011-06-01

    Full Text Available Abstract Background The United States health care debate has focused on the nation's uniquely high rates of lack of insurance and poor health outcomes relative to other high-income countries. Large disparities in health outcomes are well-documented in the US, but the most recent assessment of county disparities in mortality is from 1999. It is critical to tracking progress of health reform legislation to have an up-to-date assessment of disparities in life expectancy across counties. US disparities can be seen more clearly in the context of how progress in each county compares to international trends. Methods We use newly released mortality data by age, sex, and county for the US from 2000 to 2007 to compute life tables separately for each sex, for all races combined, for whites, and for blacks. We propose, validate, and apply novel methods to estimate recent life tables for small areas to generate up-to-date estimates. Life expectancy rates and changes in life expectancy for counties are compared to the life expectancies across nations in 2000 and 2007. We calculate the number of calendar years behind each county is in 2000 and 2007 compared to an international life expectancy time series. Results Across US counties, life expectancy in 2007 ranged from 65.9 to 81.1 years for men and 73.5 to 86.0 years for women. When compared against a time series of life expectancy in the 10 nations with the lowest mortality, US counties range from being 15 calendar years ahead to over 50 calendar years behind for men and 16 calendar years ahead to over 50 calendar years behind for women. County life expectancy for black men ranges from 59.4 to 77.2 years, with counties ranging from seven to over 50 calendar years behind the international frontier; for black women, the range is 69.6 to 82.6 years, with counties ranging from eight to over 50 calendar years behind. Between 2000 and 2007, 80% (men and 91% (women of American counties fell in standing against this

  14. Structuring Disaster Recovery Infrastructure Decisions: Lessons from Boulder County's 2013 Flood Recovery

    Science.gov (United States)

    Clavin, C.; Petropoulos, Z.

    2017-12-01

    Recovery phase decision making processes, as compared to mitigation and response phase decision making processes, require communities make significant financial and capital decisions in the months after a disaster. Collectively, these investments may significantly contribute to the resilience of a community to future hazards. Pre-disaster administrative decisions are well-established within existing planning processes. Post-event recovery requires community decision makers to quickly evaluate technical proposals and manage significant recovery financial resources to ensure their community rebuilds in a manner that will be more resilient to future events. These technical and administrative hurdles in the aftermath of a disaster create a challenging atmosphere to make sound, scientifically-informed decisions leading to resilient recovery. In September 2013, a 1,000-year rain event that resulted in flooding throughout the Front Range of Colorado, significantly impacting Boulder County. While the event is long past, disaster recovery efforts still continue in parts of Boulder County. Boulder County officials formed a county collaborative that adapted the NIST Community Resilience Planning Guide for Buildings and Infrastructure Systems to facilitate a goals-based multi-criteria decision making process. Rather than use hazard-based information to guide infrastructure design, the county's decision process established time-to-recovery goals for infrastructure systems that were used as criteria for project design. This presentation explores the decision-making process employed by Boulder County to specify design standards for resilient rebuilding of infrastructure systems and examine how this infrastructure planning model could be extrapolated to other situations where there is uncertainty regarding future infrastructure design standards.

  15. 75 FR 59285 - Endangered and Threatened Wildlife and Plants; Permit, San Luis Obispo County, CA

    Science.gov (United States)

    2010-09-27

    ...] Endangered and Threatened Wildlife and Plants; Permit, San Luis Obispo County, CA AGENCY: U.S. Fish and... project in the community of Los Osos, San Luis Obispo County, California. We invite comments from the... community of Los Osos, San Luis Obispo County, California. The parcel is legally described as Assessor...

  16. 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...

  17. 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...

  18. 2010 ARRA Lidar: 4 Southeast Counties (MI)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — TASK NAME: Southeast Michigan LiDAR LiDAR Data Acquisition and Processing Production Task- Monroe, St. Clair, Macomb, and Livingston Counties SEMCOG CONTRACT:...

  19. 78 FR 60009 - Environmental Impact Statement: Erie and Genesee Counties, New York

    Science.gov (United States)

    2013-09-30

    ... and Genesee Counties, New York AGENCY: Federal Highway Administration (FHWA), DOT; New York State... counties of Erie and Genesee, New York (NYSDOT Project Identification Number: 5528.28). A Notice of Intent... CONTACT: Jonathan McDade, Division Administrator, Federal Highway Administration, New York Division, Leo W...

  20. Networks for Life; scenario development of an ecological network in Cheshire County

    NARCIS (Netherlands)

    Rooij, van S.A.M.; Steingröver, E.G.; Opdam, P.F.M.

    2003-01-01

    In this report, a vision for ecological networks in Cheshire County is developed and presented. This vision is developed in close interaction with the County Council. The vision contains a proposal for sound ecological networks of meres and mosses, heathland, rivers, woodland and grassland. A

  1. Final environmental impact statement supplement for wastewater management systems, North Jefferson County, Kentucky wastewater facilities

    International Nuclear Information System (INIS)

    1992-12-01

    The Final Environmental Impact Statement Supplement (FEISS) serves to update the wastewater treatment alternatives presented in the original EIS (The North County Area Environmental Impact Statement, Jefferson County, KY, July 1984), determine the best alternative, and compare that alternative to the Louisville and Jefferson County Metropolitan Sewer District's North County Action Plan (NCAP). The NCAP was determined to have the greatest cost effectiveness, lowest environmental impact, and best implementability and reliability and so is the preferred alternative in the FEISS. Significant environmental impacts of the alternative are described and mitigative measures discussed

  2. Final Report. Forest County Potawatomi Community, Community-Scale Solar Project

    Energy Technology Data Exchange (ETDEWEB)

    Drescher, Sara M. [Forest County Potawatomi Community, Crandon, WI (United States)

    2016-03-31

    The Forest County Potawatomi Community (“FCPC” or “Tribe”) is a federally recognized Indian tribe with a membership of over 1400. The Tribe has a reservation in Forest County, Wisconsin, and also holds tribal trust and fee lands in Milwaukee, Oconto, and Fond du Lac Counties, Wisconsin. The Tribe has developed the long-term goal of becoming energy independent using renewable resources. In order to meet this goal, the Tribe has taken a number of important steps including energy audits leading to efficiency measures, installation of solar PV, the construction of a biodigester and the purchase of Renewable Energy Certificates to offset its current energy use. To further its energy independence goals, FCPC submitted an application to the Department of Energy (“DOE”) and was awarded a Community-Scale Clean Energy Projects in Indian Country grant, under funding opportunity DE-FOA-0000852. The Tribe, in collaboration with Pewaukee, Wisconsin based SunVest Solar Inc. (SunVest), installed approximately 922.95 kW of solar PV systems at fifteen tribal facilities in Milwaukee and Forest Counties. The individual installations ranged from 9.0 kW to 447.64 kW and will displace between 16.9% to in some cases in excess of 90% of each building’s energy needs.

  3. Mandatory menu labeling in one fast-food chain in King County, Washington.

    Science.gov (United States)

    Finkelstein, Eric A; Strombotne, Kiersten L; Chan, Nadine L; Krieger, James

    2011-02-01

    As part of a comprehensive effort to stem the rise in obesity, King County, Washington, enforced a mandatory menu-labeling regulation requiring all restaurant chains with 15 or more locations to disclose calorie information at the point of purchase beginning in January 2009. The purpose of this study is to quantify the impact of the King County regulation on transactions and purchasing behavior at one Mexican fast-food chain with locations within and adjacent to King County. To examine the effect of the King County regulation, a difference-in-difference approach was used to compare total transactions and average calories per transaction between seven King County restaurants and seven control locations focusing on two time periods: one period immediately following the law until the posting of drive-through menu boards (January 2009 to July 2009) and a second period following the drive-through postings (August 2009 through January 2010). Analyses were conducted in 2010. No impact of the regulation on purchasing behavior was found. Trends in transactions and calories per transaction did not vary between control and intervention locations after the law was enacted. In this setting, mandatory menu labeling did not promote healthier food-purchasing behavior. Copyright © 2011 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

  4. Shallow ground-water conditions, Tom Green County, Texas

    Science.gov (United States)

    Lee, J.N.

    1986-01-01

    Most of the water needs of Tom Green County, Texas, are supplied by ground water; however, the city of San Angelo is supplied by surface water. Groundwater withdrawals during 1980 (latest year for which data are available) in Tom Green County totaled about 15,300 acre-feet, all derived from shallow aquifers. Shallow aquifers in this report refer to the ground-water system generally less than 400 feet deep that contains water with less than a 10,000 milligrams per liter concentration of dissolved solids; aquifers comprising this system include: The Leona, Comanche Peak, Trinity, Blaine, San Angelo, Choza, Bullwagon, Vale, Standpipe, and Arroyo aquifers.

  5. Inequalities in neighborhood child asthma admission rates and underlying community characteristics in one US county.

    Science.gov (United States)

    Beck, Andrew F; Moncrief, Terri; Huang, Bin; Simmons, Jeffrey M; Sauers, Hadley; Chen, Chen; Kahn, Robert S

    2013-08-01

    To characterize variation and inequalities in neighborhood child asthma admission rates and to identify associated community factors within one US county. This population-based prospective, observational cohort study consisted of 862 sequential child asthma admissions among 167 653 eligible children ages 1-16 years in Hamilton County, Ohio. Admissions occurred at a tertiary-care pediatric hospital and accounted for nearly 95% of in-county asthma admissions. Neighborhood admission rates were assessed by geocoding addresses to city- and county-defined neighborhoods. The 2010 US Census provided denominator data. Neighborhood admission distribution inequality was assessed by the use of Gini and Robin Hood indices. Associations between neighborhood rates and socioeconomic and environmental factors were assessed using ANOVA and linear regression. The county admission rate was 5.1 per 1000 children. Neighborhood rates varied significantly by quintile: 17.6, 7.7, 4.9, 2.2, and 0.2 admissions per 1000 children (P asthma admission rates varied 88-fold across neighborhood quintiles in one county; a reduction of the county-wide admission rate to that of the bottom quintile would decrease annual admissions from 862 to 34. A rate of zero was present in 15 neighborhoods, which is evidence of what may be attainable. Copyright © 2013 Mosby, Inc. All rights reserved.

  6. Health Policy Responsiveness: Lessons Learned from Maryland and Prince George's County.

    Science.gov (United States)

    Sogie-Thomas, Byron; Sankofa, John; Reed, Crystal; Mfume, Kweisi; Doamekpor, Lauren Abla

    2018-04-01

    Effective, timely, and intentional policy efforts can significantly impact and improve the public's health and reduce racial and ethnic health disparities across the nation. Creating and implementing responsive policies at the state and county level is essential to supporting community efforts to improve health behaviors and health outcomes, particularly for communities of color who bear the brunt of disease risk and negative health outcomes. Using policy examples from the State of Maryland and Prince George's County, the largest and wealthiest predominately African-American county in the USA, this case study highlights the importance of state and county policy action when presented with opportunities to affect long-lasting, positive change. We examine each jurisdiction's policy response through the lens of timeliness, intentionality, and effectiveness. At first glance, it would appear that Maryland responded effectively to the rise in tobacco use. Similarly, at face value, it appears that Prince George's County's unchecked rise in obesity rates among African-Americans is an example of nonresponsiveness among local policymakers in the face of an obesity epidemic. However-guided by a more nuanced understanding of "policy responsiveness"-this analysis uncovers a more revealing picture, with important strengths and limitations seen in both policy situations. This analysis raises critical questions about the determinants of jurisdictions' health policy capacity and how policymakers might best be supported in their efforts to build an arsenal of health policies that are timely, effective, and intentional in meeting the needs of vulnerable communities.

  7. 77 FR 12830 - Pershing County Water Conservation District; Notice of Intent To File License Application, Filing...

    Science.gov (United States)

    2012-03-02

    ... Water Conservation District; Notice of Intent To File License Application, Filing of Pre-Application.... Submitted by: Pershing County Water Conservation District (Pershing County). e. Name of Project: Humboldt... the Commission's regulations. h. Potential Applicant Contact: Bennie Hodges, Pershing County Water...

  8. 2013 South Carolina DNR Lidar: Beaufort County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — LMSI provided high accuracy, calibrated multiple return LiDAR for roughly 785 square miles covering Beaufort County, South Carolina. The nominal point spacing for...

  9. 2013 South Carolina DNR Lidar: Greenville County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Group provided high accuracy, calibrated multiple return LiDAR for roughly 1,510 square miles covering both Greenville and Spartanburg counties, South...

  10. 2013 South Carolina DNR Lidar: Spartanburg County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Atlantic Group provided high accuracy, calibrated multiple return LiDAR for roughly 1,510 square miles covering both Greenville and Spartanburg counties, South...

  11. 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...

  12. Ground beetles from Sǎlaj county (Romania (coleoptera: carabidae

    Directory of Open Access Journals (Sweden)

    Kutasi Cs

    2016-01-01

    Full Text Available During a faunistical exploration of Sǎlaj county carried out in 2014 and 2015, 207 ground beetle (Carabidae species were recorded from the area. Considering the earlier literature data the total number of carabid species known from the county is 246. Carabus variolosus Fabricius, 1787 is a Natura 2000 species, Pterostichus bielzii Fuss, 1878 is a species endemic to the Western Apuseni Mountains. Further rare species from the area: Dromius quadraticollis A. Morawitz, 1862, Elaphropus parvulus (Dejean, 1831, Lebia marginata (Geoffroy, 1785, Ophonus ardosiacus (Lučnik, 1922, Trechus amplicollis Fairmaire, 1859.

  13. DATA QUALIFICATION REPORT: WATER-LEVEL DATA FROM THE NYE COUNTY EARLY WARNING DRILLING PROGRAM

    Energy Technology Data Exchange (ETDEWEB)

    F. H. Dove, P. Sanchez, and L. Saraka

    2000-04-21

    The objective of this work is to evaluate unqualified, water-level data gathered under the Nye County Early Warning Drilling Program (EWDP) and to determine whether the status of the data should be changed to ''qualified'' data in accordance with AP-SIII.2Q (Qualification of Unqualified Data and the Documentation of Rationale for Accepted Data). The corroboration method (as defined in Attachment 2 of AP-SIII.2Q) was implemented to qualify water-level data from Nye County measurements obtained directly from the Nye County Nuclear Waste Repository Program Office (NWRPO). Comparison of United States Geological Survey (USGS) measurements contained in DTN GS990608312312.003 with the Nye County water-level data has shown that the differences in water-level altitudes for the same wells are significantly less than 1 meter. This is an acceptable finding. Evaluation and recommendation criteria have been strictly applied to qualify Nye County measurements of water levels in selected wells measured by the USGS. However, the process of qualifying measured results by corroboration also builds confidence that the Nye County method for measurement of water levels is adequate for the intended use of the data (which is regional modeling). Therefore, it is reasonable to extend the term of ''qualified'' to water-level measurements in the remaining Nye County Phase I wells on the basis that the method has been shown to produce adequate results for the intended purpose of supporting large-scale modeling activities for the Yucca Mountain Project (YMP). The Data Qualification Team recommends the Nye County, water-level data contained in Appendix D of this report be designated as ''qualified''. These data document manual measurements of water-levels in eight (8) EWDP Phase I drillholes that were obtained prior to the field installation of continuous monitoring equipment.

  14. Changes in diagnosed diabetes, obesity, and physical inactivity prevalence in US counties, 2004-2012.

    Science.gov (United States)

    Geiss, Linda S; Kirtland, Karen; Lin, Ji; Shrestha, Sundar; Thompson, Ted; Albright, Ann; Gregg, Edward W

    2017-01-01

    Recent studies suggest that prevalence of diagnosed diabetes in the United States reached a plateau or slowed around 2008, and that this change coincided with obesity plateaus and increases in physical activity. However, national estimates can obscure important variations in geographic subgroups. We examine whether a slowing or leveling off in diagnosed diabetes, obesity, and leisure time physical inactivity prevalence is also evident across the 3143 counties of the United States. We used publicly available county estimates of the age-adjusted prevalence of diagnosed diabetes, obesity, and leisure-time physical inactivity, which were generated by the Centers for Disease Control and Prevention (CDC). Using a Bayesian multilevel regression that included random effects by county and year and applied cubic splines to smooth these estimates over time, we estimated the average annual percentage point change (APPC) from 2004 to 2008 and from 2008 to 2012 for diabetes, obesity, and physical inactivity prevalence in each county. Compared to 2004-2008, the median APPCs for diabetes, obesity, and physical inactivity were lower in 2008-2012 (diabetes APPC difference = 0.16, 95%CI 0.14, 0.18; obesity APPC difference = 0.65, 95%CI 0.59, 0.70; physical inactivity APPC difference = 0.43, 95%CI 0.37, 0.48). APPCs and APPC differences between time periods varied among counties and U.S. regions. Despite improvements, levels of these risk factors remained high with most counties merely slowing rather than reversing, which suggests that all counties would likely benefit from reductions in these risk factors. The diversity of trajectories in the prevalence of these risk factors across counties underscores the continued need to identify high risk areas and populations for preventive interventions. Awareness of how these factors are changing might assist local policy makers in targeting and tracking the impact of efforts to reduce diabetes, obesity and physical inactivity.

  15. DATA QUALIFICATION REPORT: WATER-LEVEL DATA FROM THE NYE COUNTY EARLY WARNING DRILLING PROGRAM

    International Nuclear Information System (INIS)

    F. H. Dove, P. Sanchez, and L. Saraka

    2000-01-01

    The objective of this work is to evaluate unqualified, water-level data gathered under the Nye County Early Warning Drilling Program (EWDP) and to determine whether the status of the data should be changed to ''qualified'' data in accordance with AP-SIII.2Q (Qualification of Unqualified Data and the Documentation of Rationale for Accepted Data). The corroboration method (as defined in Attachment 2 of AP-SIII.2Q) was implemented to qualify water-level data from Nye County measurements obtained directly from the Nye County Nuclear Waste Repository Program Office (NWRPO). Comparison of United States Geological Survey (USGS) measurements contained in DTN GS990608312312.003 with the Nye County water-level data has shown that the differences in water-level altitudes for the same wells are significantly less than 1 meter. This is an acceptable finding. Evaluation and recommendation criteria have been strictly applied to qualify Nye County measurements of water levels in selected wells measured by the USGS. However, the process of qualifying measured results by corroboration also builds confidence that the Nye County method for measurement of water levels is adequate for the intended use of the data (which is regional modeling). Therefore, it is reasonable to extend the term of ''qualified'' to water-level measurements in the remaining Nye County Phase I wells on the basis that the method has been shown to produce adequate results for the intended purpose of supporting large-scale modeling activities for the Yucca Mountain Project (YMP). The Data Qualification Team recommends the Nye County, water-level data contained in Appendix D of this report be designated as ''qualified''. These data document manual measurements of water-levels in eight (8) EWDP Phase I drillholes that were obtained prior to the field installation of continuous monitoring equipment

  16. 76 FR 30754 - Notice of Availability of the Draft Environmental Impact Statement: Riverside and Orange Counties...

    Science.gov (United States)

    2011-05-26

    ... Environmental Impact Statement: Riverside and Orange Counties, CA AGENCY: Federal Highway Administration (FHWA... Riverside and Orange Counties, California. DATES: The comment period for the State Route 91 Corridor... in Riverside and Orange Counties. The State Route 91 Corridor Improvement Project proposes to widen...

  17. 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...

  18. Strengthening Public Financial Management at the County ...

    International Development Research Centre (IDRC) Digital Library (Canada)

    Counties suffer from weak financial management and accountability, human capacity ... The project team will prepare a report of its findings and recommendations, ... them consolidate their role as credible development actors in their countries, ...

  19. Taxing Feedlots in Alberta: Lethbridge County's Tax on Confined Feeding Operations

    Directory of Open Access Journals (Sweden)

    Bev Dahlby

    2017-11-01

    Full Text Available Lethbridge County introduced a new business tax on confined feeding operations (CFO, notably feedlots, in 2016. It was expected to bring in $2.5 million for county road maintenance in 2017. However, the tax could have a detrimental impact on feedlot owners and is not the fairest way to amass revenue for road repairs. Four criteria can be used to evaluate a particular form of taxation. They are fairness, efficient resource allocation, compliance and administration costs, and revenue stability. This paper examines the potential impacts of the tax and proposes three alternative methods for financing Lethbridge County road maintenance that meet those criteria. These alternatives create less of an impact on feedlot owners and share the tax burden more equitably. They also reduce the potentially negative ripple effects that the CFO levy may have on feed producers, cattle producers, meat packers and consumers. The current tax is based on livestock storage capacity, rather than on production volume. It’s counter-productive in the long run because the feedlot’s fixed costs of production are increased, while its variable costs remain unaffected. This permanent increase in fixed costs, estimated to be as high as 20 per cent of the average operating margin per head of cattle, lowers the return on feedlot investments. Thus, the new tax could result in some feedlots being closed for lack of a high enough return on investment.A more equitable revenue source for road maintenance would be user fees imposed on the trucking industry. This system is already in use in Oregon and New Zealand. It uses GPS technology to track trucks on the roads and then charges the trucking companies a fee based on road use. It would certainly be worthwhile for the province to initiate a pilot program to test the system’s efficacy on Alberta roads. Lethbridge County could also implement a usage levy that would be based on how much it spends on roads, combined with a feedlot

  20. 76 FR 51469 - CSX Transportation, Inc.-Abandonment Exemption-in Beaver County, PA

    Science.gov (United States)

    2011-08-18

    ... DEPARTMENT OF TRANSPORTATION Surface Transportation Board [Docket No. AB 55 (Sub-No. 708X)] CSX Transportation, Inc.--Abandonment Exemption--in Beaver County, PA CSX Transportation, Inc. (CSXT) has filed a... milepost PLK 2.39, in Koppel, Beaver County, Pa. The line traverses United States Postal Service Zip Code...