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Sample records for brownsville cameron county

  1. Environmental Assessment for Central Power and Light Company`s proposed Military Highway-CFE tie 138/69-kV transmission line project Brownsville, Cameron County, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1992-04-01

    Central Power and Light Company (CPL) intends to upgrade its existing transmission line ties with the Commision Federal de Electricidad (CFE) system in Mexico. CPL currently has a single 69-kilovolt (kV) transmission line in the Brownsville area which connects CPL`s system with the system of CFE. This existing line runs between the Brownsville Switching Station, located on Laredo Road in Brownsville, Cameron County, Texas, and an existing CFE 69-kV line at the Rusteberg Bend of the Rio Grande in Cameron County. Under current conditions of need, the existing 69-kV line does not possess sufficient capability to engage in appropriate power exchanges. Therefore, CPL is proposing to build a new line to link up with CFE. This proposed line would be a double-circuit line, which would (1) continue (on a slightly relocated route) the existing 69-kV tie from CPL`s Brownsville Switching Station to CFE`s facilities, and (2) add a 138-kV tie from the Military Highway Substation, located on Military Highway (US Highway 281), to CFE`s facilities. The proposed 138/69-kV line, which will be constructed and operated by CPL, will be built primarily on steel single-pole structures within an average 60-foot (ft) wide right-of-way (ROW). It will be approximately 6900--9200 ft (1.3--1.7 miles) in length, depending on the alternative route constructed.

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  5. Soil salinity detection. [Starr and Cameron Counties, Texas

    Science.gov (United States)

    Wiegand, C. L.; Richardson, A. J.; Gausman, H. W.; Leamer, R. W.; Gerbermann, A. H.; Everitt, J. H.; Cuellar, J. A. (Principal Investigator)

    1975-01-01

    The author has identified the following significant results. Growth forms and herbage biomass production varied considerably among saline and nonsaline soil range sites in Starr County. Grasses on saline soil sites were shallow-rooted and short whereas on nonsaline sites there was an intermixture of short and midgrass species. Differentiation between primarily undisturbed saline and nonsaline rangelands, in Starr County, is partially possible using film optical density readings from Skylab imagery. Differentiation among eight saline and nonsaline soil sites in Cameron County, using black and white and color film was not possible according to statistical results from both DMRT and correlation analysis. Linear analysis showed that Bendix 24-band MSS data (aircraft) collected at 1700 m and 4800 m, as well as Skylab and LANDSAT-1 MSS data, were significantly correlated to electrical conductivity readings. In Starr County, the best spectral band for detection of saline soil levels, using black and white SO-022 film, was in the 0.6 to 0.7 micron spectral region. In Cameron County, the best spectral bands for detection of saline soil levels were the 2.3 to 2.43 micron, 0.72 to 0.76 micron, 0.69 to 1.75 micron, and 0.7 to 1.1 micron spectral regions.

  6. Cameron: Archaeological Investigations on the Rancho San Clemente, Orange County, California

    OpenAIRE

    Singer, Clay A

    1990-01-01

    Archaeological Investigations on the Rancho San Clemente, Orange County, California. Constance Cameron. Coyote Press Archives of California Prehistory No. 27, 1989, viii + 270 pp., 120 figs, plus tables and appendices, $16.95 (paper).

  7. Irrigation scheduling, freeze warning and soil salinity detecting. [in Cameron County Texas

    Science.gov (United States)

    Wiegand, C. L. (Principal Investigator)

    1975-01-01

    The author has identified the following significant results. Correlations of multispectral scanner (MSS) digital data differences between vegetated and bare soil areas with salinity levels from the eight saline areas using MSS bands seven and ten in the infrared region were significant. Correlations were derived for Cameron County, Texas. Detection of saline soils may be possible, using either film density readings or multispectral scanner data, when the lower reflectance of vegetation on highly saline soil and the higher reflectance of vegetation on lower saline soil are considered by using film on MSS contrasts between vegetation and bare soil.

  8. Hydrogeochemical and stream sediment reconnaissance basic data for Brownsville-McAllen NTMS Quadrangles, Texas

    International Nuclear Information System (INIS)

    Results of a reconnaissance geochemical survey of the Brownsville-McAllen Quadrangles, Texas are reported. Field and laboratory data are presented for 427 groundwater and 171 stream sediment samples. Statistical and areal distributions of uranium and possible uranium-related variables are displayed. Pertinent geologic factors which may be of significance in evaluating the potential for uranium mineralization are briefly discussed. Groundwater data indicate the most promising area for potential uranium mineralization occurs in the northwestern section of the quadrangles (Jim Hogg, Starr, and Zapata Counties), where waters are derived from the Catahoula Formation. These groundwaters have high concentrations of uranium, uranium associated elements, and low values for specific conductance. Another area with high uranium concentrations is in the southeastern portion of the survey area (Hidalgo, Cameron, and Willacy Counties). Shallow wells <10 m (30 ft) are numerous in this area and high specific conductance values may indicate contamination from extensive fertilization. Stream sediment data for the survey does not indicate an area favorable for uranium mineralization. Anomalous acid soluble uranium values in the southeastern area (Hidalgo, Cameron, and Willacy Counties) can be attributed to phosphate fertilizer contamination. Four samples in the western part of the area (western Starr County) have anomalously high total uranium values and low acid soluble uranium values, indicating the uranium may be contained in resistate minerals

  9. Ocean Hill-Brownsville, 40 Years Later

    Science.gov (United States)

    Kahlenberg, Richard D.

    2008-01-01

    Forty years ago--on May 9, 1968--the local school board in Brooklyn's black ghetto of Ocean Hill-Brownsville sent telegrams to 19 unionized educators, informing them that their employment in the district was terminated. Eighteen were white. One black teacher was mistakenly included on the list, but reinstated almost immediately after the error was…

  10. 75 FR 54695 - Noise Exposure Map Notice; Brownsville South Padre Island International Airport, Brownsville, TX

    Science.gov (United States)

    2010-09-08

    ... Federal Aviation Administration Noise Exposure Map Notice; Brownsville South Padre Island International... Federal Aviation Administration (FAA) announces its determination that the noise exposure maps submitted... provisions of 49 U.S.C. 47501 et seq. (Aviation Safety and Noise Abatement Act) and 14 CFR part 150 are...

  11. Landscape consequences of natural gas extraction in Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties, Pennsylvania, 2004-2010

    Science.gov (United States)

    Milheim, L. E.; Slonecker, E. T.; Roig-Silva, C. M.; Winters, S. G.; Ballew, J. R.

    2014-01-01

    Increased demands for cleaner burning energy, coupled with the relatively recent technological advances in accessing hydrocarbon-rich geologic formations, have led to an intense effort to find and extract unconventional natural gas from various underground sources around the country. One of these sources, the Marcellus Shale, located in the Allegheny Plateau, is currently undergoing extensive drilling and production. The technology used to extract gas in the Marcellus Shale is known as hydraulic fracturing and has garnered much attention because of its use of large amounts of fresh water, its use of proprietary fluids for the hydraulic-fracturing process, its potential to release contaminants into the environment, and its potential effect on water resources. Nonetheless, development of natural gas extraction wells in the Marcellus Shale is only part of the overall natural gas story in this area of Pennsylvania. Conventional natural gas wells, which sometimes use the same technique for extraction, are commonly located in the same general area as the Marcellus Shale and are frequently developed in clusters across the landscape. The combined effects of these two natural gas extraction methods create potentially serious patterns of disturbance on the landscape. This document quantifies the landscape changes and consequences of natural gas extraction for Cameron, Clarion, Elk, Forest, Jefferson, McKean, Potter, and Warren Counties in Pennsylvania between 2004 and 2010. Patterns of landscape disturbance related to natural gas extraction activities were collected and digitized using National Agriculture Imagery Program (NAIP) imagery for 2004, 2005/2006, 2008, and 2010. The disturbance patterns were then used to measure changes in land cover and land use using the National Land Cover Database (NLCD) of 2001. A series of landscape metrics is also used to quantify these changes and is included in this publication. In this region, natural gas and oil development disturbed

  12. FLOODPLAIN, CAMERON COUNTY, PA, USA

    Data.gov (United States)

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

  13. Effects of Glycemic Control on Bone Turnover in Older Mexican Americans with Type 2 Diabetes: Data from the Cameron County Hispanic Cohort in Texas

    Science.gov (United States)

    Rianon, N.; Smith, S. M.; Lee, M.; Musgrave, P.; Nader, S.; Khosla, S.; Ambrose, C.; McCormick, J.; Fisher-Hoch, S.

    2016-01-01

    High bone turnover, evidenced by high serum osteocalcin (OC) concentration, is indicated as risk of fracture in old age. However, low bone turnover has been reported in patients with type 2 diabetes (T2D) who also have high fracture risk. Poor glycemic control indicated by higher glycated hemoglobin levels (HbA1c) has been associated with lower serum OC in older Caucasian and Asian patients with T2D. There remains a gap in knowledge about effects of T2D on bone turnover status in Hispanic populations. We report bone turnover in association with glycemic control in 72 older (greater than or equal to 50 years) men (N=21) and women (N=51) from the Cameron County Hispanic Cohort (CCHC) in Texas. Prevalence of T2D is about 30 percent in this cohort who live in health disparity due to poor access to health care. Separate multivariable linear regression models were conducted to determine association between high/diabetic levels of HbA1c (less than 6.5 normal versus greater than or equal to 6.5 high) and serum OC after controlling for age, body mass index (BMI, greater than 30 obese versus less than 30 non-obese), visceral fat, femoral neck BMD and serum concentrations of creatinine, calcium, and vitamin D for men and women. Interaction effects were assessed while developing final multivariable model to identify factors that modify the association between HbA1c and OC. Subjects were 66 plus or minus 9 (mean plus or minus Standard Deviation) years for men and 67 plus or minus 8 years for women. HbA1c was 8.0 plus or minus 2.0 for men and 7.8 plus or minus 2.0 for women. There were no significant differences for BMI, femoral neck BMD, serum calcium or 25-hydroxyvitamin D concentrations between men and women. High HbA1c was significantly associated with lower OC levels in men in both age groups (mean difference in OC between high vs. low HbA1c [95 percent confidence interval] for older group (greater than or equal to 65 years) was minus 9.51 (minus 16.36 to minus 2.65) and

  14. Cameron in China

    Institute of Scientific and Technical Information of China (English)

    KERRY BROWN

    2010-01-01

    @@ British Prime Minister David Cameron's fast official visit to China in November had two objectives.One was to lead one of the largest trade delegations ever accompanied by a UK prime minister to an increasingly important market.The other was for him to meet,and get to know,the Chinese leadership and key figures in the government.

  15. An Unusual Cause of Anemia: Cameron Ulcer

    Directory of Open Access Journals (Sweden)

    Cenk Aypak

    2013-04-01

    Full Text Available Cameron ulcer is a linear gatric ulser on the mucosal folds in patients with a large hiatal hernia. Cameron ulcer could be seen in 5% of patients with hiatal hernia who undergo upper gastrointestinal system (GIS endoscopy examination. The clinical relevance of Cameron ulcer is due to its potential complications such as GIS bleeding and anemia. In this report a case who was applied to Family Medicine outpatient clinics with the diagnosis of iron deficiency anemia and determined Cameron ulser at upper gastroentestinal endoscopy was presented. [Cukurova Med J 2013; 38(2.000: 315-318

  16. Cameron lesion: An unusual cause of anemia

    OpenAIRE

    Jovanović Ivan; Alempijević Tamara; Popović Dragan; Kovačević Nada; Krstić Miodrag

    2010-01-01

    Introduction. Cameron lesions are linear gastric ulcers or erosions positioned on the crests of mucosal folds at the diaphragmatic impression, in patients with large hiatal hernia, and can cause iron deficiency anaemia. Case report. We present a case of a 56-year-old woman who was referred to our institution for further investigation after she was examined in gastroenterology emergency room (GER) for signs and symptoms of severe hypochromic microcytic anemia without signs of acute gastr...

  17. Cameron lesion: An unusual cause of anemia

    Directory of Open Access Journals (Sweden)

    Jovanović Ivan

    2010-01-01

    Full Text Available Introduction. Cameron lesions are linear gastric ulcers or erosions positioned on the crests of mucosal folds at the diaphragmatic impression, in patients with large hiatal hernia, and can cause iron deficiency anaemia. Case report. We present a case of a 56-year-old woman who was referred to our institution for further investigation after she was examined in gastroenterology emergency room (GER for signs and symptoms of severe hypochromic microcytic anemia without signs of acute gastrointestinal bleeding and with no obvious cause of chronic blood loss. Endoscopy showed linear ulceration at the level of diaphragm-Cameron lesions with large hiated hernia. She was treated with proton pump inhibitors and iron supplements. The laparoscopic fundoplication was done. Six months later she was asymptomatic. Conclusion. Large hiatus hernia may cause iron deficiency anemia due to occult bleeding from Cameron erosions. The current therapy concept includes the surgical reconstruction of the hiatus together with gastric fundoplication in combination with the proton pump inhibitor therapy.

  18. DIGITAL FLOOD INSURANCE RATE MAP DATABASE, CAMERON COUNTY, PA, USA

    Data.gov (United States)

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

  19. Arhitekt Cameron Sinclaire parandab maailma majadega / Kristi Eberhart

    Index Scriptorium Estoniae

    Eberhart, Kristi

    2006-01-01

    Briti päritolu arhitekti Cameron Sinclaire tegevusest progressiivsete sotsiaalse arhitektuuri ideede levitamisel ja uudse lahendusega arhitektuuri loomisel katastroofipiirkondades. Ta on üks organisatsiooni Architecture for Humanity ("Arhitektuur inimkonnale") rajajaid

  20. Cameron Prairie National Wildlife Refuge: Comprehensive Conservation Plan

    Data.gov (United States)

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

  1. Cameron Prairie National Wildlife Refuge Habitat Management Plan

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — The Cameron Prairie National Wildlife Refuge Habitat Management Plan provides a long-term vision and specific guidance on managing habitats for the resources of...

  2. The Trail Inventory of Cameron Prairie NWR [Cycle 2

    Data.gov (United States)

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

  3. Health Needs Assessment Survey for Brownsville, Texas. A U.S.-Mexico Border Community Case Study 1983-1985.

    Science.gov (United States)

    Zavaleta, Tony; And Others

    The sister cities of Brownsville, Texas and H. Matamoros Tamaulipas represent a microcosm of United States-Mexico border cities. The combined characteristics of urban poverty, an agricultural-based economy and high unemployment, in a predominantly Hispanic population, coupled with a high percentage of illegal aliens produce a situation of poor…

  4. National uranium resource evaluation: McAllen and Brownsville Quadrangles, Texas

    Energy Technology Data Exchange (ETDEWEB)

    Charepon, A J; Stauber, A J

    1982-06-01

    The McAllen and Brownsville Quadrangles, Texas, were evaluated to a depth of 1500 m to identify geologic environments and delineate areas favorable for uranium deposits. The environments were selected according to criteria established for the National Uranium Resource Evaluation program. Surface studies included investigations of uranium occurrences described in the literature, of locations of aerial radiometric anomalies, of surface exposures, and of locations of anomalous hydrogeochemical and stream-sediment reconnaissance data and collation of information on uranium exploration. Subsurface evaluation of selected geologic units was accomplished by using electric and gamma-ray well logs to construct maps and construct maps and cross sections. In the McAllen Quadrangle, an environment favorable for Texas roll-type sandstone uranium deposits is identified in 36 areas in the Goliad, Fleming-Oakville, Catahoula-Frio, and Whitsett Formations. All other units in both quadrangles are considered unfavorable.

  5. Biomarkers of Maternal and Fetal Exposure to Organochlorine Pesticides Measured in Pregnant Hispanic Women from Brownsville, Texas

    OpenAIRE

    McCormick, Joseph B.; Miller, Rebecca P.; Gowen, Rose M. Z.; McDonald, Thomas J.; Salinas, Jennifer J.; Ken Sexton; Fisher-Hoch, Susan P.

    2013-01-01

    Biomarkers of organochlorine pesticides were measured in both venous and umbilical cord blood from 35 pregnant Hispanic women living in Brownsville, Texas, USA. Gas chromatography with an electron capture detector was used to analyze specimens for 30 individual pesticides or their metabolites. Results indicate that blood concentrations were relatively low for most individual compounds, but that high-end (upper 10th percentile) values for total DDT were comparatively high. Although health effe...

  6. James Cameron speaks out about ocean discovery and protection

    Science.gov (United States)

    Showstack, Randy

    2013-06-01

    Ocean explorer and filmmaker James Cameron delivered his DEEPSEA CHALLENGER submersible vehicle to the Woods Hole Oceanographic Institution (WHOI) in Woods Hole, Mass., on 14 June, following a cross-country journey from California. He has donated the vehicle to WHOI as part of a new Center for Marine Robotics. Cameron, who will serve on the center's advisory board, used the submersible in March 2012 to dive to the deepest part of the ocean, the Challenger Deep section of the Mariana Trench in the Pacific Ocean (see Eos, 93(50), 523, doi:10.1029/2012EO500003).

  7. Biological control of mosquitoes in scrap tires in Brownsville, Texas, USA and Matamoros, Tamaulipas, Mexico.

    Science.gov (United States)

    Uejio, Christopher K; Hayden, Mary H; Zielinski-Gutierrez, Emily; Lopez, Jose Luis Robles; Barrera, Roberto; Amador, Manuel; Thompson, Gregory; Waterman, Stephen H

    2014-06-01

    Dengue periodically circulates in southern Texas and neighboring Tamaulipas, Mexico; thus, a closer examination of human and vector ecology at the northern limits of North American transmission may improve prevention activities. Scrap tires produce large mosquito populations and increase the risk of dengue transmission. Some households choose not to pay tire disposal fees, and many tires are illegally dumped in residential areas. Biological control may provide low-cost and environmentally friendly mosquito control. This pilot study evaluated the ability of Mesocyclops longisetus to reduce mosquito populations in existing residential scrap tire piles. Mosquito populations were measured by the number of all mosquito pupae within tires or adult Aedes aegypti and Ae. albopictus near piles. Mesocyclops longisetus treated piles did not significantly reduce total mosquito pupae (P = 0.07) in Matamoros, Mexico. The study also evaluated the efficacy of native Toxorhynchites moctezuma which preferentially colonized tire piles under vegetation cover in Brownsville, TX. Toxorhynchites moctezuma larvae significantly reduced total mosquito pupae, but the strength of control diminished over time.

  8. Biological control of mosquitoes in scrap tires in Brownsville, Texas, USA and Matamoros, Tamaulipas, Mexico.

    Science.gov (United States)

    Uejio, Christopher K; Hayden, Mary H; Zielinski-Gutierrez, Emily; Lopez, Jose Luis Robles; Barrera, Roberto; Amador, Manuel; Thompson, Gregory; Waterman, Stephen H

    2014-06-01

    Dengue periodically circulates in southern Texas and neighboring Tamaulipas, Mexico; thus, a closer examination of human and vector ecology at the northern limits of North American transmission may improve prevention activities. Scrap tires produce large mosquito populations and increase the risk of dengue transmission. Some households choose not to pay tire disposal fees, and many tires are illegally dumped in residential areas. Biological control may provide low-cost and environmentally friendly mosquito control. This pilot study evaluated the ability of Mesocyclops longisetus to reduce mosquito populations in existing residential scrap tire piles. Mosquito populations were measured by the number of all mosquito pupae within tires or adult Aedes aegypti and Ae. albopictus near piles. Mesocyclops longisetus treated piles did not significantly reduce total mosquito pupae (P = 0.07) in Matamoros, Mexico. The study also evaluated the efficacy of native Toxorhynchites moctezuma which preferentially colonized tire piles under vegetation cover in Brownsville, TX. Toxorhynchites moctezuma larvae significantly reduced total mosquito pupae, but the strength of control diminished over time. PMID:25102598

  9. CO Cameron band and CO2+ UV doublet emissions in the dayglow of Venus: Role of CO in the Cameron band production

    OpenAIRE

    Bhardwaj, Anil; Jain, Sonal Kumar

    2013-01-01

    Present study deals with the model calculations of CO Cameron band and CO2+ ultraviolet doublet emissions in the dayglow of Venus. The overhead and limb intensities of CO Cameron band and CO2+ UV doublet emissions are calculated for low, moderate, and high solar activity conditions. Using updated cross sections, the impact of dierent e-CO cross section for Cameron band production is estimated. The electron impact on CO is the major source mechanism of Cameron band, followed by electron and ph...

  10. Obituary: Alastair Graham Walker Cameron, 1925-2005

    Science.gov (United States)

    Truran, James W.; Thielemann, F.-K.; Cowan, J. J.

    2005-12-01

    Alastair Graham Walker Cameron, one of the most creative and influential astrophysicists of his generation, passed away on 3 October 2005, at the age of 80, at his home in Tucson. Subsequent to his retirement from Harvard University, where he had been a member of the faculty from 1973 through 1999, Cameron remained active as a Senior Research Scientist at the Lunar and Planetary Laboratory of the University of Arizona. Cameron had a distinguished career during which he made outstanding contributions both in scientific research and in public service to science. Notable among the latter are the years he spent as Chairman of the Space Science Board of the National Academy of Sciences from 1976 to 1982. He was a member of the National Academy of Sciences and the recipient of a number of awards for his diverse contributions to the sciences, including the J. Lawrence Smith Medal of the National Academy of Sciences in 1988, the Leonard Medal of the American Meteoritical Society in 1994, the Henry Norris Russell Lectureship of the American Astronomical Society in 1997, and the Hans A. Bethe prize of the Division of Nuclear Physics of the American Physical Society for 2006, for outstanding work in nuclear physics and astrophysics. He was enormously active in the organization of conferences and workshops and in an editorial capacity, for a number of journals in astronomy, astrophysics, and space physics. Over the course of his career, he made seminal contributions to such diverse areas of astronomical and astrophysical research as nuclear reactions in stars, nucleosynthesis, the abundances of the elements in the Solar System, meteoritics, stellar evolution, neutron stars, the origin of the Solar System, the physics of planets and planetary atmospheres, and the origin of the Moon. Born on 21 June 1925 in Winnipeg, Manitoba, Cameron received his undergraduate degree from the University of Manitoba and his doctorate in nuclear physics from the University of Saskatchewan in 1952

  11. CO Cameron band and CO2+ UV doublet emissions in the dayglow of Venus: Role of CO in the Cameron band production

    CERN Document Server

    Bhardwaj, Anil

    2013-01-01

    Present study deals with the model calculations of CO Cameron band and CO2+ ultraviolet doublet emissions in the dayglow of Venus. The overhead and limb intensities of CO Cameron band and CO2+ UV doublet emissions are calculated for low, moderate, and high solar activity conditions. Using updated cross sections, the impact of dierent e-CO cross section for Cameron band production is estimated. The electron impact on CO is the major source mechanism of Cameron band, followed by electron and photon impact dissociation of CO2. The overhead intensities of CO Cameron band and CO2+ UV doublet emissions are about a factor of 2 higher in solar maximum than those in solar minimum condition. The effect of solar EUV flux models on the emission intensity is ~30-40% in solar minimum condition and ~2-10% in solar maximum condition. At the altitude of emission peak (135 km), the model predicted limb intensity of CO Cameron band and CO2+ UV doublet emissions in moderate (F10.7 = 130) solar activity condition is about 2400 an...

  12. 76 FR 4725 - Apria Healthcare Customer Service Department; Fourteen Locations in Missouri Cameron, Cape...

    Science.gov (United States)

    2011-01-26

    ... Employment and Training Administration Apria Healthcare Customer Service Department; Fourteen Locations in... St. Peters, Missouri. The notice was published in the Federal Register on September 3, 2010 (75 FR... Healthcare, Customer Service Department, Thirteen Locations in Missouri: Cameron, Cape Girardeau,...

  13. Baseline coastal oblique aerial photographs collected from Calcasieu Lake, Louisiana, to Brownsville, Texas, September 9-10, 2008

    Science.gov (United States)

    Morgan, Karen L. M.; Karen A. Westphal,

    2016-04-28

    The U.S. Geological Survey (USGS), as part of the National Assessment of Coastal Change Hazards project, conducts baseline and storm-response photography missions to document and understand the changes in vulnerability of the Nation's coasts to extreme storms (Morgan, 2009). On September 9-10, 2008, the USGS conducted an oblique aerial photographic survey from Calcasieu Lake, Louisiana, to Brownsville, Texas, aboard a Cessna C-210 (aircraft) at an altitude of 500 feet (ft) and approximately 1,000 ft offshore. This mission was flown to collect baseline data for assessing incremental changes of the beach and nearshore area, and the data can be used in the assessment of future coastal change.The photographs provided in this report are Joint Photographic Experts Group (JPEG) images. ExifTool was used to add the following to the header of each photo: time of collection, Global Positioning System (GPS) latitude, GPS longitude, keywords, credit, artist (photographer), caption, copyright, and contact information. The photograph locations are an estimate of the position of the aircraft at the time the photograph was taken and do not indicate the location of any feature in the images (see the Navigation Data page). These photographs document the state of the barrier islands and other coastal features at the time of the survey. Pages containing thumbnail images of the photographs, referred to as contact sheets, were created in 5-minute segments of flight time. These segments can be found on the Photos and Maps page. Photographs can be opened directly with any JPEG-compatible image viewer by clicking on a thumbnail on the contact sheet.In addition to the photographs, a Google Earth Keyhole Markup Language (KML) file is provided and can be used to view the images by clicking on the marker and then clicking on either the thumbnail or the link above the thumbnail. The KML file was created using the photographic navigation files. The KML file can be found in the kml folder.

  14. Cameron ulcers: An atypical source for a massive upper gastrointestinal bleed

    Institute of Scientific and Technical Information of China (English)

    Samir Kapadia; Sophia Jagroop; Atul Kumar

    2012-01-01

    Cameron lesions represent linear gastric erosions and ulcers on the crests of mucosal folds in the distal neck of a hiatal hernia (HH).Such lesions may be found in upto 50% of endoscopies performed for another indication.Though typically asymptomatic,these may rarely present as acute,severe upper gastrointestinal bleed (GIB).The aim is to report a case of a non-anemic 87-year-old female with history of HH and atrial fibrillation who presented with hematemesis and melena resulting in hypovolemic shock.Repeat esophagogastroduodenoscopy was required to identify multiple Cameron ulcers as the source.Endoscopy in a patient with HH should involve meticulous visualization of hernia neck and surrounding mucosa.Cameron ulcers should be considered in all patients with severe,acute GIB and especially in those with known HH with or without chronic anemia.

  15. Model for the Production of CO Cameron band emission in Comet 1P/Halley

    OpenAIRE

    Raghuram, Susarla; Bhardwaj, Anil

    2012-01-01

    The abundance of CO2 in comets has been derived using CO Cameron band (a3pi --> X1Sigma+) emission assuming that photodissociative excitation of CO2 is the main production process of CO(a3pi). On comet 1P/Halley the Cameron (1-0) band has been observed by International Ultraviolet Explorer (IUE) on several days in March 1986. A coupled chemistry-emission model is developed for comet 1P/Halley to assess the importance of various production and loss mechanisms of CO(a3pi) and to calculate the i...

  16. Flows Associated to Cameron-martin Type Vector Fields on Path Spaces Over a Riemannian Manifold

    Institute of Scientific and Technical Information of China (English)

    Jing-xiao ZHANG

    2013-01-01

    The flow on the Wiener space associated to a tangent process constructed by Cipriano and Cruzeiro,as well as by Gong and Zhang does not allow to recover Driver's Cameron-Martin theorem on Riemannian path space.The purpose of this work is to refine the method of the modified Picard iteration used in the previous work by Gong and Zhang and to try to recapture and extend the result of Driver.In this paper,we establish the existence and uniqueness of a flow associated to a Cameron-Martin type vector held on the path space over a Riemannian manifold.

  17. Salud y maternidad en la frontera México-Estados Unidos. El caso de la región Matamoros-Brownsville

    Directory of Open Access Journals (Sweden)

    Belem Vásquez Galán

    2001-01-01

    Full Text Available En este documento se analizan comparativamente los servicios de salud reproductiva que las instituciones médicas ofrecen a la mujer en dos ciudades fronterizas, una en México y otra en Estados Unidos. Basadas en encuestas aplicadas a la oferta (hospitales y clínicas y demanda de servicios de salud (por parte de las usuarias, se encontró que en Brownsville las instituciones ofrecen una variada gama de servicios de maternidad a la que acceden usuarias que muestran mayor seguimiento de su embarazo y que demandan una mayor cantidad de personal especializado. Por otro lado, aunque los centros de salud en Matamoros brindan a la mujer un mayor grado de especialización del personal médico y de apoyo, además de una atención integral, el uso que ellas hacen de tales servicios se concentra en el periodo final del embarazo y tiende a ser menos especializado que el que reciben las usuarias en Brownsville

  18. Concurrent Fetal Exposure to Multiple Environmental Chemicals along the U.S.—Mexico Border: An Exploratory Study in Brownsville, Texas

    Directory of Open Access Journals (Sweden)

    Ken Sexton

    2014-09-01

    Full Text Available There is mounting concern that cumulative exposure to diverse chemicals in the environment may contribute to observed adverse health outcomes in the Lower Rio Grande Valley of Texas. To investigate this situation, biomarker concentrations of organochlorine (OC pesticides/metabolites, polychlorinated biphenyls (PCBs, and polycyclic aromatic hydrocarbons (PAHs were measured in maternal and umbilical cord blood from pregnant Hispanic women in Brownsville, TX. Results show that both mothers and fetuses were exposed concurrently to a variety of relatively low-level, hazardous environmental chemicals. Approximately 10% of the blood specimens had comparatively high concentrations of specific OC pesticides, PCBs and PAHs. Because many pregnant women in Brownsville live in socioeconomically-disadvantaged and environmentally-challenging circumstances, there is appropriate concern that exposure to these exogenous substances, either individually or in combination, may contribute to endemic health problems in this population, including cardiovascular disease, obesity, and diabetes.  The challenge is to identify individuals at highest comparative risk and then implement effective programs to either prevent or reduce cumulative exposures that pose significant health-related threats.

  19. 2005 Texas Water Development Board (TWDB) Lidar: Northern Cameron and Willacy Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, standard density (1.4 meter ground sample distance) data were collected over areas in Northern...

  20. 2006 Texas Water Development Board (TWDB) Lidar: Northern Cameron and Willacy Counties

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Using a LH Systems ALS50 Light Detection And Ranging (LiDAR) system, standard density (1.4 meter ground sample distance) data were collected over areas in Northern...

  1. A new species of the genus Xanthomicrogaster Cameron (Hymenoptera: Braconidae: Microgastrinae) from Brazil

    NARCIS (Netherlands)

    Penteado-Dias, A.M.; Shimabukuro, P.H.F.; Achterberg, van C.

    2002-01-01

    One new Xanthomicrogaster species from Brazil is described, and X. fortipes Cameron, 1911, is redescribed and reported from Brazil and Suriname for the first time. A key to the species is presented as well as data about the geographical distribution in Brazil.

  2. Will Cameron get what he wants? Anticipating reactions to Britain's EU reform proposals

    NARCIS (Netherlands)

    S. Blockmans; S. Weiss

    2015-01-01

    After months of speculation about the British Prime Minister’s specific demands in terms of the "renegotiation" of the UK’s relationship with the EU, David Cameron has bowed to pressure from the heads of state or government of the other EU member states and committed himself to setting out the UK’s

  3. The genus Halycaea Cameron (Hymenoptera: Braconidae: Doryctinae) in the Oriental region

    NARCIS (Netherlands)

    Belokobylskij, S.A.

    2002-01-01

    The Oriental species of the genus Halycaea Cameron are revised. Three new species of Halycaea are described and figured: H. rubata spec. nov. (Malaysia, South China (Taiwan)), H. solo spec. nov. (Malaysia) and H. sonata spec. nov. (Vietnam). H. javana (Fullaway) comb. nov. is redescribed and a key t

  4. Alexander Cameron Rutherford: A Gentleman and a Scholar. Documents in the Classroom.

    Science.gov (United States)

    Hodysh, Henry W.

    2000-01-01

    Provides information about Alexander Cameron Rutherford, a provincial politician. Includes a letter written by Rutherford in 1912 that provides insights into his responsibilities to the general public, information about Rutherford himself, the economic conditions of Alberta, Canada in 1912, and information about the individual to whom it was…

  5. Model for the Production of CO Cameron band emission in Comet 1P/Halley

    CERN Document Server

    Raghuram, Susarla

    2012-01-01

    The abundance of CO2 in comets has been derived using CO Cameron band (a3pi --> X1Sigma+) emission assuming that photodissociative excitation of CO2 is the main production process of CO(a3pi). On comet 1P/Halley the Cameron (1-0) band has been observed by International Ultraviolet Explorer (IUE) on several days in March 1986. A coupled chemistry-emission model is developed for comet 1P/Halley to assess the importance of various production and loss mechanisms of CO(a3pi) and to calculate the intensity of Cameron band emission on different days of IUE observation. Two different solar EUV flux models, EUVAC of Richards et al. (1994) and SOLAR2000 of Tobiska (2004), and different relative abundances of CO and CO2, are used to evaluate the role of photon and photoelectron in producing CO molecule in a3pi state in the cometary coma. It is found that in comet 1P/Halley 60--70% of the total intensity of the Cameron band emission is contributed by electron impact excitation of CO and CO2, while the contribution from p...

  6. A rare cause of anemia due to upper gastrointestinal bleeding: Cameron lesion

    Directory of Open Access Journals (Sweden)

    Ismet Özaydın

    2014-01-01

    Full Text Available Asymptomatic large hiatal hernias may lead to iron deficiency anemia due to occult and massive bleeding from linear gastric erosions or ulcers on the mucosal folds at the level of the diaphragm called the Cameron lesions. The diagnosis is usually made during upper gastrointestinal system endoscopies. Current therapy includes the medication with proton pump inhibitors in combination with oral iron supplements and in some cases surgical reconstruction of hiatal hernia with fundoplication. We present a case of a 78-year-old woman who was admitted to the outpatient clinic with the diagnosis of iron deficiency anemia without signs of acute gastrointestinal bleeding. She was treated with medication and her follow-up gastroscopy showed a total cure. She is asymptomatic for two years after treatment with proton pump inhibitors and iron supplements. Cameron lesions should be kept in mind as an unusual cause of iron deficiency anemia due to gastrointestinal bleeding. 

  7. A rare cause of anemia due to upper gastrointestinal bleeding: Cameron lesion

    OpenAIRE

    Ismet Özaydın; Sami Doğan; Arif Aslaner; Mehmet Yaşar; Metin Aydın

    2014-01-01

    Asymptomatic large hiatal hernias may lead to iron deficiency anemia due to occult and massive bleeding from linear gastric erosions or ulcers on the mucosal folds at the level of the diaphragm called the Cameron lesions. The diagnosis is usually made during upper gastrointestinal system endoscopies. Current therapy includes the medication with proton pump inhibitors in combination with oral iron supplements and in some cases surgical reconstruction of hiatal hernia with fundoplication. We pr...

  8. Revision of the types of species of Alloxysta described by Cameron and Fergusson (Hymenoptera: Figitidae: Charipinae and deposited in the Natural History Museum (London, including a key to the fauna of Great Britain

    Directory of Open Access Journals (Sweden)

    Juli Pujade-Villar

    2013-08-01

    Full Text Available Type material of the species of Alloxysta described by Cameron and Fergusson and deposited in the Natural History Museum of London has been revised. Seven species are considered valid: Alloxysta abdera Fergusson, 1986, A. basimacula (Cameron, 1886, A. crassa (Cameron, 1889, A. mullensis (Cameron, 1883, A. piceomaculata (Cameron, 1883, A. pleuralis (Cameron, 1879 and A. semiaperta Fergusson, 1986. A. basimacula, A. crassa, A. maculicollis (Cameron, 1886, A. perplexa (Cameron, 1889 and A. piceomaculata are here removed from synonymy with A. macrophadna (Hartig,1841. A. ruficeps (Cameron, 1883 is removed from synonymy with A. victrix (Westwood, 1833. A. caledonica (Cameron, 1886 and A. perplexa are here synonymized with A. basimacula. A. maculicollis, A. ruficeps and A. ruficollis (Cameron, 1883 are here synonymized with A. castanea (Hartig, 1841. A. ancylocera (Cameron, 1886 was correctly synonymized with A. fuscicornis (Hartig, 1841, A. curvicornis (Cameron, 1883 was correctly synonymized with A. victrix and A. filicornis (Cameron, 1889 was correctly synonymized with A. macrophadna. Complete redescriptions and illustrations are given for valid species. A key for all the Alloxysta species found so far in Great Britain is given.

  9. Mars thermospheric scale height: CO Cameron and CO2+ dayglow observations from Mars Express

    Science.gov (United States)

    Stiepen, A.; Gérard, J.-C.; Bougher, S.; Montmessin, F.; Hubert, B.; Bertaux, J.-L.

    2015-01-01

    The CO Cameron (170-270 nm) and CO2+ ultraviolet doublet (298 and 299 nm) emissions have been observed on the Mars dayside with Mars Express Spectroscopy for Investigation of Characteristics of the Atmosphere of Mars (SPICAM) instrument in the limb viewing mode. These ultraviolet emissions ultimately arise from the excitation of the neutral atmosphere by solar extreme ultraviolet radiation. We analyze a wide dataset covering the years 2003-2013 to determine the scale height of the thermosphere and its variability. We show under which conditions the neutral thermospheric temperature is derived from the CO Cameron and CO2+ emission topside scale height of the limb profiles. We show that emission scale heights are highly variable, ranging from 8.4 to 21.8 km and analyze possible differences between CO Cameron and CO2+-derived scale heights. These large variations appear to dominate over the long-term control exerted by the solar flux reaching the top of the atmosphere during the SPICAM observing period when solar minimum to moderate conditions prevailed. Solar heating impacting the topside thermosphere scale height is apparently overwhelmed by other forcing processes (e.g. waves and tides) during this observing period. It also appears that the crustal residual magnetic field does not significantly influence the scale height of the thermosphere. Furthermore, our analysis suggests that local variations in the thermospheric scale height and associated temperature are equal to or larger than seasonal-latitudinal variability.

  10. County Spending

    Data.gov (United States)

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

  11. Model for Cameron band emission in comets: A case for EPOXI mission target comet 103P/Hartley 2

    CERN Document Server

    Bhardwaj, Anil

    2010-01-01

    The CO2 production rate has been derived in comets using the Cameron band (a3Pi - X1Sigma) emission of CO molecule assuming that photodissociative excitation of CO2 is the main production mechanism of CO in a3Pi metastable state. We have devoloped a model for the production and loss of CO(a3Pi) which has been applied to comet 103P/Hartley 2: the target of EPOXI mission. Our model calculations show that photoelectron impact excitation of CO and dissociative excitation of CO2 can together contribute about 60-90% to the Cameron band emission. The modeled brightness of (0-0) Cameron band emission on comet Hartley 2 is consistent with Hubble Space Telescope observations for 3-5% CO2 (depending on model input solar flux) and 0.5% CO relative to water, where photoelectron impact contribution is about 50-75%. We suggest that estimation of CO2 abundances on comets using Cameron band emission may be reconsidered. We predict the height integrated column brightness of Cameron band of ~1300 R during EPOXI mission encounte...

  12. Use of semipermeable membrane devices (SPMD) to assess occurrence and estimate water concentrations of selected organic compounds in the Rio Grande from Presidio to Brownsville, Texas

    Science.gov (United States)

    Moring, J. Bruce

    1999-01-01

    In Texas, the Rio Grande forms the international boundary between Mexico and the United States and extends about 2,000 kilometers from El Paso to the mouth of the Rio Grande just south of Brownsville, where the river flows into the Gulf of Mexico (fig. 1). The North American Free Trade Agreement (NAFTA) has resulted in increased industrialization and population growth on both sides of the international boundary, which in turn has focused attention on environmental issues, including water quality and quantity in the Rio Grande. Nonpoint urban and agricultural runoff and wastewater discharges from industrial and municipal facilities are potential sources of organic compounds such as polycyclic aromatic hydrocarbons (PAHs) and polychlorinated biphenyls (PCBs). Historical applications of organochlorine pesticides such as DOT and chlordane in the United States and Mexico have resulted in a continuing source of these environmentally longlived compounds in the Rio Grande Basin. In the United States, all organochlorine pesticides either have been banned entirely or have use restrictions. However, in Mexico, the organochlorine pesticide DOT is still in use, although with some application restrictions.

  13. Time Series Analysis of Heavy Metal Concentrations along the Watershed Gradient in Cameron Highlands: Geospatial Approaches

    Science.gov (United States)

    Haron, S. H.; Ismail, B. S.; Mispan, M. R.; Abd Rahman, N. F.; Khalid, K.; Rasid, M. Z. Abdul; Sidek, L. M.

    2016-03-01

    Heavy metal, particularly cadmium, lead, and arsenic, constitute a significant potential threat to human health. Some metals are extremely toxic to humans and the toxic heavy metals of greatest concern include cadmium, lead, and arsenic. The objective of the study conducted was to determine the accumulation and distribution status of heavy metal cadmium (Cd) in the sediment of Bertam River from September 2014 to February 2015 in the agricultural areas of Cameron Highlands, Malaysia. The sediment samples were collected randomly in three replicates from ten sampling points in the agricultural areas of Cameron Highlands. The heavy metals in the sediment were extracted using the wet acid method and the sample concentrations are then tested for metal concentrations by the spectrography method using Inductively Coupled Plasma (ICP) spectrography. Inverse distance weighting (IDW) was used to create a map of metal concentrations for a point on the polygon dataset spatial interpolation. There is an increasing trend of Cd from the upstream to downstream stations along Bertam River during the rainy season. The activity range of Cd is 0.07 to 2.83 µg/g during the rainy season, whereas, during the dry season, Cd activity ranged from 0.26-0.83µg/g.

  14. Prediction of sedimentation using integration of RS, RUSLE model and GIS in Cameron Highlands, Pahang, Malaysia

    Science.gov (United States)

    Ghani, A. H. A.; Lihan, T.; Rahim, S. A.; Musthapha, M. A.; Idris, W. M. R.; Rahman, Z. A.

    2013-11-01

    Soil erosion and sediment yield are strongly affected by land use change. Spatially distributed erosion models are of great interest to predict soil erosion loss and sediment yield. Hence, the objective of this study was to determine sediment yield using Revised Universal Soil Loss Equation (RUSLE) model in Geographical Information System (GIS) environment at Cameron Highlands, Pahang, Malaysia. Sediment yield at the study area was determined using RUSLE model in GIS environment The RUSLE factors were computed by utilizing information on rainfall erosivity (R) using interpolation of rainfall data, soil erodibility (K) using soil map and field measurement, vegetation cover (C) using satellite images, length and steepness (LS) using contour map and conservation practices using satellite images based on land use/land cover. Field observations were also done to verify the predicted sediment yield. The results indicated that the rate of sediment yield in the study area ranged from very low to extremely high. The higher SY value can be found at middle and lower catchments of Cameron Highland. Meanwhile, the lower SY value can be found at the north part of the study area. Sediment yield value turned out to be higher close to the river due to the topographic characteristic, vegetation type and density, climate and land use within the drainage basin.

  15. A taxonomic study on the genus Ettchellsia Cameron, with descriptions of three new species (Hymenoptera, Megalyridae, Dinapsini

    Directory of Open Access Journals (Sweden)

    Toshiharu Mita

    2012-12-01

    Full Text Available Three new species of Ettchellsia Cameron, namely, E. ignita sp. n. from Peninsular Malaysia and Borneo, E. nigripes sp. n. from Sulawesi and E. reidi sp. n. from Borneo are described and illustrated. A key to the species of Ettchellsia is provided based on females.

  16. A new species of the genus Shelfordia Cameron (Hymenoptera: Braconidae) with very long ovipositor, from NE India

    NARCIS (Netherlands)

    Achterberg, van C.

    1993-01-01

    A new species of the Indo-Australian genus Shelfordia Cameron, 1902, viz. S longicaudata spec. nov. from Sikkim (India) with an exceptionally long ovipositor is described and illustrated. The Shelfordiagroup is not recognized, and the genus Rostraulax Quicke, 1984, is synonymized with Shelfordia.

  17. Sustainable Highland Development through Stakeholders’ Perceptions on Agro EcoTourism in Cameron Highlands: A Preliminary Finding

    Directory of Open Access Journals (Sweden)

    Mohd Ariffin Ati Rosemary

    2014-01-01

    Full Text Available Cameron Highlands was discovered in 1885 and was developed as a hill station. It first served as a quaint retreat destination for the British residence where the urban morphology of its little town centres were strongly characterised by colonial architecture such as bungalows, institutional buildings and government offices, shophouses and market stalls. Eventually due to economic pressure and location potentials, more land was opened for tea plantations and vegetable and flower industries. Conversely, recent rapid uncontrolled developments in the built environment and agricultural sectors have tarnished its natural environment, old-world charm and historical values.\tIf this trend persists, the popularity of Cameron Highlands as a vacation destination for local and foreign visitors may be badly affected. This research paper seeks to determine the perception of local stakeholders and tourists of the development in Cameron Highlands and whether they agree that agro-ecotourism can be used as a tool to achieve sustainability in the area. This paper is an assessment of a pilot test to determine initial perceptions toward Cameron Highlands development. The pilot test sample size was 41 respondents, comprising local authorities, local communities and NGOs, as well as local and international tourists. The results showed that the majority agreed that agro-ecotourism can generate a sustainable income and preserve the environment while ensuring sustainability through fair trade.

  18. Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets

    International Nuclear Information System (INIS)

    The cold and refreshing highland weather is one of the factors that give impact to socio-economic growth in Cameron Highlands. This unique weather of the highland surrounded by tropical rain forest can only be found in a few places in Malaysia. It makes this place a famous tourism attraction and also provides a very suitable temperature for agriculture activities. Thus it makes agriculture such as tea plantation, vegetable, fruits and flowers one of the biggest economic activities in Cameron Highlands. However unauthorized agriculture activities are rampant. The government land, mostly forest area have been encroached by farmers, in many cases indiscriminately cutting down trees and hill slopes. This study is meant to detect and assess this encroachment using multiple remote sensing datasets. The datasets were used together with cadastral parcel data where survey lines describe property boundary, pieces of land are subdivided into lots of government and private. The general maximum likelihood classification method was used on remote sensing image to classify the land-cover in the study area. Ground truth data from field observation were used to assess the accuracy of the classification. Cadastral parcel data was overlaid on the classification map in order to detect the encroachment area. The result of this study shows that there is a land cover change of 93.535 ha in the government land of the study area between years 2001 to 2010, nevertheless almost no encroachment took place in the studied forest reserve area. The result of this study will be useful for the authority in monitoring and managing the forest

  19. Mapping of government land encroachment in Cameron Highlands using multiple remote sensing datasets

    Science.gov (United States)

    Zin, M. H. M.; Ahmad, B.

    2014-02-01

    The cold and refreshing highland weather is one of the factors that give impact to socio-economic growth in Cameron Highlands. This unique weather of the highland surrounded by tropical rain forest can only be found in a few places in Malaysia. It makes this place a famous tourism attraction and also provides a very suitable temperature for agriculture activities. Thus it makes agriculture such as tea plantation, vegetable, fruits and flowers one of the biggest economic activities in Cameron Highlands. However unauthorized agriculture activities are rampant. The government land, mostly forest area have been encroached by farmers, in many cases indiscriminately cutting down trees and hill slopes. This study is meant to detect and assess this encroachment using multiple remote sensing datasets. The datasets were used together with cadastral parcel data where survey lines describe property boundary, pieces of land are subdivided into lots of government and private. The general maximum likelihood classification method was used on remote sensing image to classify the land-cover in the study area. Ground truth data from field observation were used to assess the accuracy of the classification. Cadastral parcel data was overlaid on the classification map in order to detect the encroachment area. The result of this study shows that there is a land cover change of 93.535 ha in the government land of the study area between years 2001 to 2010, nevertheless almost no encroachment took place in the studied forest reserve area. The result of this study will be useful for the authority in monitoring and managing the forest.

  20. Comparison pesticide residue levels in the surface of Bertam River in Cameron Highlands, Pahang

    International Nuclear Information System (INIS)

    The presence of pesticide residues in the surface water of Bertam River in the agricultural areas of Cameron Highlands in Pahang, Malaysia was monitored from May to October 2014. The sampling sites were located at 10 sampling points along the Bertam River in the vegetable planting areas. The extraction method of the pesticide (organophosphate/pyrethroid) from the river samples used solid phase extraction followed by gas chromatography (with electron capture detector, ECD). Insecticides, cypermethrin and chlorpyrifos were found in the surface water of Bertam River. High level concentrations of those insecticides in the river were observed during the period from May to October 2014, a period which included both seasons (wet and dry seasons). The highest concentration of 2.66 µg/mL and 1.23 µg/mL of cypermethrin was observed during the wet and dry seasons respectively. This could be due to the frequent usage of the above-mentioned insecticides coupled with contamination that could have originated from the application sites. Meanwhile, the lowest concentration detected in the surface water was chlorpyrifos (0.11 µg/mL and 0.17 µg/mL) during the dry and wet seasons, respectively

  1. Poneromorph Ants Associated with Parasitoid Wasps of the Genus Kapala Cameron (Hymenoptera: Eucharitidae in French Guiana

    Directory of Open Access Journals (Sweden)

    Jean-Paul Lachaud

    2012-01-01

    Full Text Available Eucharitid wasps are specific, specialized parasitoids of ants. The genus Kapala Cameron is the most common in the Neotropics but few species are described, and information dealing with their biology, behavior and host associations is scarce. Numerous poneromorph ant colonies were inspected over 4 collection surveys in French Guiana. A diverse fauna of parasites and parasitoids was found, including mermithid nematodes, flies, eucharitids, and another gregarious endoparasitoid wasp. Five new host associations for Kapala are reported, all of them involving medium- to large-size poneromorph ant species from 4 genera: Ectatomma brunneum Fr. Smith, Gnamptogenys tortuolosa (Fr. Smith, Odontomachus haematodus (L., O. mayi Mann, and Pachycondyla verenae (Forel. Three other associations involving O. hastatus (Fabr., P. apicalis (Latreille, and P. stigma (Fabr., already reported for other countries but new for French Guiana, are confirmed. The data extend the number of hosts for Kapala to 24 ant species from 7 genera. The high diversity of the ant host genera associated with Kapala, combined with the fact that these ant genera are the most widely distributed among Neotropical poneromorph ants, could account for the dominant status of the genus Kapala among the eucharitine wasps of Central and South America.

  2. Comparison pesticide residue levels in the surface of Bertam River in Cameron Highlands, Pahang

    Energy Technology Data Exchange (ETDEWEB)

    Haron, S. H., E-mail: ismail@ukm.edu.my; Ismail, B. S., E-mail: sthumaira@yahoo.com [School of Environmental and Natural Resource Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia 43600 UKM, Bangi, Selangor (Malaysia)

    2015-09-25

    The presence of pesticide residues in the surface water of Bertam River in the agricultural areas of Cameron Highlands in Pahang, Malaysia was monitored from May to October 2014. The sampling sites were located at 10 sampling points along the Bertam River in the vegetable planting areas. The extraction method of the pesticide (organophosphate/pyrethroid) from the river samples used solid phase extraction followed by gas chromatography (with electron capture detector, ECD). Insecticides, cypermethrin and chlorpyrifos were found in the surface water of Bertam River. High level concentrations of those insecticides in the river were observed during the period from May to October 2014, a period which included both seasons (wet and dry seasons). The highest concentration of 2.66 µg/mL and 1.23 µg/mL of cypermethrin was observed during the wet and dry seasons respectively. This could be due to the frequent usage of the above-mentioned insecticides coupled with contamination that could have originated from the application sites. Meanwhile, the lowest concentration detected in the surface water was chlorpyrifos (0.11 µg/mL and 0.17 µg/mL) during the dry and wet seasons, respectively.

  3. Probable Maximum Precipitation (PMP) over mountainous region of Cameron Highlands- Batang Padang Catchment of Malaysia

    Science.gov (United States)

    Sidek, L. M.; Mohd Nor, M. D.; Rakhecha, P. R.; Basri, H.; Jayothisa, W.; Muda, R. S.; Ahmad, M. N.; Razad, A. Z. Abdul

    2013-06-01

    The Cameron Highland Batang Padang (CHBP) catchment situated on the main mountain range of Peninsular Malaysia is of large economical importance where currently a series of three dams (Sultan Abu Bakar, Jor and Mahang) exist in the development of water resources and hydropower. The prediction of the design storm rainfall values for different return periods including PMP values can be useful to review the adequacy of the current spillway capacities of these dams. In this paper estimates of the design storm rainfalls for various return periods and also the PMP values for rainfall stations in the CHBP catchment have been computed for the three different durations of 1, 3 & 5 days. The maximum values for 1 day, 3 days and 5 days PMP values are found to be 730.08mm, 966.17mm and 969.0mm respectively at Station number 4513033 Gunung Brinchang. The PMP values obtained were compared with previous study results undertaken by NAHRIM. However, the highest ratio of 1 day, 3 day and 5 day PMP to highest observed rainfall are found to be 2.30, 1.94 and 1.82 respectively. This shows that the ratio tend to decrease as the duration increase. Finally, the temporal pattern for 1 day, 3day and 5 days have been developed based on observed extreme rainfall at station 4513033 Gunung Brinchang for the generation of Probable Maximum Flood (PMF) in dam break analysis.

  4. EVALUATION OF RAINFALL-RUNOFF EROSIVITY FACTOR FOR CAMERON HIGHLAND, PAHANG, MALAYSIA

    Directory of Open Access Journals (Sweden)

    Abdulkadir Taofeeq Sholagberu

    2016-07-01

    Full Text Available Rainfall-runoff is the active agent of soil erosion which often resulted in land degradation and water quality deterioration. Its aggressiveness to induce erosion is usually termed as rainfall erosivity index or factor (R. R-factor is one of the factors to be parameterized in the evaluation of soil loss using the Universal Soil Loss Equation and its reversed versions (USLE/RUSLE. The computation of accurate R-factor for a particular watershed requires high temporal resolution rainfall (pluviograph data with less than 30-minutes intensities for at least 20 yrs, which is available only in a few regions of the world. As a result, various simplified models have been proposed by researchers to evaluate R-factor using readily available daily, monthly or annual precipitation data. This study is thus aimed at estimating R-factor and to establish an approximate relationship between R-factor and rainfall for subsequent usage in the estimation of soil loss in Cameron highlands watershed. The results of the analysis showed that the least and peak (critical R-factors occurred in the months of January and April with 660.82 and 2399.18 MJ mm ha-1 h-1year-1 respectively. Also, it was observed that erosivity power starts to increase from the month of January through April before started falling in the month of July. The monthly and annual peaks (critical periods may be attributed to increased rainfall amount due to climate change which in turn resulted to increased aggressiveness of rains to cause erosion in the study area. The correlation coefficient of 0.985 showed that there was a strong relationship rainfall and R-factor.

  5. Model for Cameron band emission in comets: A case for EPOXI mission target comet 103P/Hartley 2

    OpenAIRE

    Bhardwaj, Anil; Raghuram, Susarla

    2010-01-01

    The CO2 production rate has been derived in comets using the Cameron band (a3Pi - X1Sigma) emission of CO molecule assuming that photodissociative excitation of CO2 is the main production mechanism of CO in a3Pi metastable state. We have devoloped a model for the production and loss of CO(a3Pi) which has been applied to comet 103P/Hartley 2: the target of EPOXI mission. Our model calculations show that photoelectron impact excitation of CO and dissociative excitation of CO2 can together contr...

  6. Transmission tower classification based on landslide risk Map generated by Geographical Information System (GIS) at Cameron Highlands

    Science.gov (United States)

    K, Hazwani N.; O, Rohayu C.; U, Fathoni; Baharuddin, I. N. Z.; A, Azwin Z.

    2013-06-01

    Transmission tower is usually locates at remote area which is covered by hilly topography. Landslide is mainly occurring at hilly area and causing failure to the tower structure. This phenomenon subsequently will affect the national electricity supply. A landslide risk hazard map is generated using Geographical Information System (GIS). Risk classification is introduced to initiate the monitoring process along Jor-Bintang transmission line, Cameron Highland, Pahang. The classification has been divided into three categories, which are low, medium and high. This method can be applied in slope monitoring activities since all towers have been classified based on their risk level. Therefore, maintenance schedule can be planned smoothly and efficiently.

  7. Use of multi-temporal SPOT-5 satellite images for land degradation assessment in Cameron Highlands, Malaysia using Geospatial techniques

    Science.gov (United States)

    Nampak, Haleh; Pradhan, Biswajeet

    2016-07-01

    Soil erosion is the common land degradation problem worldwide because of its economic and environmental impacts. Therefore, land-use change detection has become one of the major concern to geomorphologists, environmentalists, and land use planners due to its impact on natural ecosystems. The objective of this paper is to evaluate the relationship between land use/cover changes and land degradation in the Cameron highlands (Malaysia) through multi-temporal remotely sensed satellite images and ancillary data. Land clearing in the study area has resulted increased soil erosion due to rainfall events. Also unsustainable development and agriculture, mismanagement and lacking policies contribute to increasing soil erosion rates. The LULC distribution of the study area was mapped for 2005, 2010, and 2015 through SPOT-5 satellite imagery data which were classified based on object-based classification. A soil erosion model was also used within a GIS in order to study the susceptibility of the areas affected by changes to overland flow and rain splash erosion. The model consists of four parameters, namely soil erodibility, slope, vegetation cover and overland flow. The results of this research will be used in the selection of the areas that require mitigation processes which will reduce their degrading potential. Key words: Land degradation, Geospatial, LULC change, Soil erosion modelling, Cameron highlands.

  8. Impact of solar EUV flux on CO Cameron band and CO2+ UV doublet emissions in the dayglow of Mars

    CERN Document Server

    Jain, Sonal Kumar

    2011-01-01

    This study is aimed at making a calculation about the impact of the two most commonly used solar EUV flux models -- SOLAR2000 (S2K) of \\cite{Tobiska04} and EUVAC model of \\cite{Richards94} -- on photoelectron fluxes, volume emission rates, ion densities and CO Cameron and CO$_2^+$ UV doublet band dayglow emissions on Mars in three solar activity conditions: minimum, moderate, and maximum. Calculated limb intensities profiles are compared with SPICAM/Mars Express and Mariner observations. Analytical yield spectrum (AYS) approach has been used to calculate photoelectron fluxes in Martian upper atmosphere. Densities of prominent ions and CO molecule in excited triplet a$^3\\Pi$ state are calculated using major ion-neutral reactions. Volume emission rates of CO Cameron and CO$_2^+$ UV doublet bands have been calculated for dif{}ferent observations (Viking condition, Mariner and Mars Express SPICAM observations) on Mars. For the low solar activity condition, dayglow intensities calculated using the S2K model are $\\...

  9. The News International phone-hacking saga threatens to retoxify the Tory brand. Cameron needs to be ruthless to save his reputation

    OpenAIRE

    Leunig, Tim

    2011-01-01

    David Cameron’s closeness to the News International elite and his hiring of Andy Coulson have posed real and serious problems for the PM as the phone-hacking story continues to unfold. Tim Leunig argues that Cameron needs match Rupert Murdoch’s ruthlessness in taking on the media giant and preventing the scandal from retoxifying the Conservative Party.

  10. Study of selective metals accumulation in green mustard (Brassica rapa var. parachinesis L.) from Cameron Highlands farmlands, Pahang

    International Nuclear Information System (INIS)

    There are many essential and non-essential elements including metals and radionuclides present in vegetables. However, the accumulation of the several metals and radionuclides might cause the contamination to vegetables itself. Green mustard (Brasissca rapa var. Parachinesis L.) was selected to represent the vegetable in this study. Objectives of this study are to determine the concentration of metals and radionuclides in the samples and to calculate the enrichment factor (EF) and also to estimate the uptake, base on biological accumulation coefficient (BAC), for the various parts of selected vegetables. Three farmlands in the Cameron Highlands were studied namely Bharat, Kg Raja and Bertam area. The green mustard and soil samples were collected during the harvest season. Samples were dried, ground and sieved prior to analysis. Analyses for both samples were done by using X-rays Fluorescence Spectroscopy (XRF) to measure the concentration of Fe, Zn, Hg, U and Th. The concentration of all elements in the soils is lower than their concentration in the control soil, except for Zn, U and Th. The concentration of all elements in Green Mustard is lower than their concentration in the soil where it was grown. The EF values in the Brasissca rapa var. Parachinesis L are lower than 2 except for U and Th, indicating some degree of contamination due to anthropogenic activities or naturally origin. The BAC values show that Zn and Hg were accumulated in the green mustard, depending on where the plant grows. (Author)

  11. Molecular phylogeny of Cotesia Cameron, 1891 (Insecta: Hymenoptera: Braconidae: Microgastrinae) parasitoids associated with Melitaeini butterflies (Insecta: Lepidoptera: Nymphalidae: Melitaeini).

    Science.gov (United States)

    Kankare, Maaria; Shaw, Mark R

    2004-07-01

    Phylogenetic relationships among Cotesia Cameron (Braconidae) species parasitising Melitaeini butterflies were examined using DNA sequence data (mitochondrial cytochrome oxidase subunit I and NADH1 dehydrogenase genes, nuclear ribosomal DNA internal transcribed spacer region) as well as 12 microsatellite loci. Molecular data were available from ostensibly six species of Cotesia from 16 host butterfly species in Europe, Asia, and North America. Analysis of the combined sequence data using both maximum parsimony and maximum likelihood revealed two distinct Cotesia clades. In one clade (C. acuminata (Reinhard); C. bignellii (Marshall)) host ranges are apparently narrow and, although Euphydryas (s. lato) is well-utilised, permeation of Melitaea (s. lato) has been slight. In the other clade (C. melitaearum (Wilkinson); C. lycophron (Nixon); C. cynthiae (Nixon)) host utilization across the Melitaeini as a whole is more extensive and the data are consistent with more recent, or active, speciation processes. Neighbour-joining trees calculated separately for the two main clades based on chord distance (DCE) of microsatellite allele frequencies were consistent with phylogenetic trees obtained from the sequence data. Our analysis strongly suggests the presence of several additional, previously unrecognised, Cotesia species parasitising this group of butterflies.

  12. Level II Cultural Resource investigation for the Texoma Distribution Enhancements project, Cameron and Calcasieu Parishes, Louisiana: Final report

    Energy Technology Data Exchange (ETDEWEB)

    LeeDecker, C. H.; Holland, C. C.

    1987-10-01

    A Level II Cultural Resource Survey was completed for the Texoma Distribution Enhancements project, located in Cameron and Calcasieu Parishes, Louisiana. The 13-mile pipeline extends from Strategic Petroleum Reserve No. 3 to a terminus near Vincent Landing. Located in Louisiana's southwest coastal zone, the pipeline will traverse extensive marsh lands as well as upland prairie terrace areas. Present land use within the project area consists primarily of undeveloped marsh land and cattle range. The study methods included background research, intensive pedestrian survey with systematic shovel testing, a boat survey, and laboratory analysis of recovered artifact collections. One historic site, 16CU205, was identified during the field survey, and it was tested for National Register eligibility. The site is assignable to the Industrialization and Modernization (1890-1940) Cultural Unit. Archaeological testing indicates that it is a rural residence or farmstead, with a house and one outbuilding within the proposed right-of-way. The site lacks significant historical association and sufficient archaeological integrity to merit inclusion on the National Register of Historic Places. Four standing structures were also identified during the field survey. The structures are agricultural outbuildings, less than 40 years in age, that possess no architectural distinction or historical association. They have been documented photographically and by scaled plan drawings, but do not merit additional study prior to their destruction. 24 refs., 15 figs., 3 tabs.

  13. Geoheritage at the Equator: Selected Geosites of São Tomé Island (Cameron Line, Central Africa

    Directory of Open Access Journals (Sweden)

    Maria Helena Henriques

    2015-01-01

    Full Text Available This work presents, for the first time, an overview of the rich geodiversity outcropping in the São Tomé island, one of the two islands that make up the archipelago of São Tomé and Príncipe, the second smallest state of Africa in area. Located at the equator, in the alignment known as the “Cameroon Volcanic Line”, this archipelago represents a privileged area for the comparative study between oceanic and continental alkaline volcanism, and therefore between the subcontinental and suboceanic mantle. Ten geosites of São Tomé island were selected, described and evaluated on the basis of their geoheritage value and using a qualitative system of classification, which integrates both the meaning attributed to the objects by scientific communities and the public understanding of such meanings related to its social use. The selected geosites display different heritage values (documental, scenic, symbolic, iconographic and indicial potentially usable for different purposes, namely scientific and educational, but mostly tourism. Geotourism can play a key role in the promotion of sustainable development in the Democratic Republic of São Tomé and Príncipe, and the geosites here described are likely to ground a geo-itinerary on this “pearl” of the Cameron Line.

  14. Allegheny County Address Points

    Data.gov (United States)

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

  15. Allegheny County 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...

  16. 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...

  17. 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...

  18. Flood-plain delineation for Occoquan River, Wolf Run, Sandy Run, Elk Horn Run, Giles Run, Kanes Creek, Racoon Creek, and Thompson Creek, Fairfax County, Virginia

    Science.gov (United States)

    Soule, Pat LeRoy

    1978-01-01

    Water-surface profiles of the 25-, 50-, and 100-year recurrence interval discharges have been computed for all streams and reaches of channels in Fairfax County, Virginia, having a drainage area greater than 1 square mile except for Dogue Creek, Little Hunting Creek, and that portion of Cameron Run above Lake Barcroft. Maps having a 2-foot contour interval and a horizontal scale of 1 inch equals 100 feet were used for base on which flood boundaries were delineated for 25-, 50-, and 100-year floods to be expected in each basin under ultimate development conditions. This report is one of a series and presents a discussion of techniques employed in computing discharges and profiles as well as the flood profiles and maps on which flood boundaries have been delineated for the Occoquan River and its tributaries within Fairfax County and those streams on Mason Neck within Fairfax County tributary to the Potomac River. (Woodard-USGS)

  19. Willingness to pay for highlands' agro-tourism recreational facility: A case of Boh Tea plantation, Cameron Highlands, Malaysia

    Science.gov (United States)

    A, Syamsul Herman M.; M, Nur A'in C.; S, Ahmad; S, Ramachandran

    2014-03-01

    The increase in tourist demand for highland experience is inevitable. Cameron Highlands, established as a Tea Plantation Estate during the British Colonial era in 1929, has evolved into a major highland tourism destination providing a cool climatic experience coupled with scenic beauty in the midst of Tudor concept architecture which enhances the destinations historical value. Realising such tourism potential, the Boh Plantation management has provided a visitor centre as recreational facility for tourist utilisation. However, the absence in imposing an entrance fee has left a vacuum in determining the recreational economic value of this facility as the benefit of this agro-tourism product to tourists remains unknown. It would be important for the management to identify the benefit since the development and maintenance of the facility is costly. Hence, the purpose of this paper is to estimate the benefit of such establishment in highlands area by assessing visitor's Willingness to pay (WTP). The study examines, explores and debates the issues in a critical yet supportive environment especially highlands. The study obtained 179 usable questionnaires from visitors during weekends, weekdays and public holidays. The result showed that 59% of the visitors were willing to pay for the agro-tourism product. The WTP was estimated at RM 7.21 (1.81). Three factors were found to be influencing WTP which were monthly income, years of education and perception on scenery. Although the study was conducted post development, the finding indicated the WTP for current management practise. Should the management change its style, it would also affect WTP and also the total economic value. Since WTP is established concept, the finding of the study reflects on the opportunities, barriers and challenges inherent in embracing post-disciplinary approaches to research and suggest ways to further enhance the approach.

  20. The nuclear physics input to astrophysics modelling, and the r- and p-processes: Where do we stand 50 years after B^2FH and Cameron?

    Science.gov (United States)

    Arnould, M.

    2008-11-01

    This is a brief review of the progress made since the seminal contributions to the foundations of the theory of nucleosynthesis by M. Burbidge, G. Burbidge, Fowler and Hoyle, and by Cameron. The reviewed topics are (1) the nuclear physics input to the nucleosynthesis models (nuclear masses, fission, rates of β-decays, neutrino reactions, photoreactions, and nuclear charged particle-induced or neutron-induced reactions), (2) the nuclear physics and astrophysics aspects of the r-process, and (3) the same items for the p-process.

  1. EDITORIAL: `Bridging Gravitational Wave Astronomy and Observational Astrophysics', Proceedings of the 13th Gravitational Wave Data Analysis Workshop (GWDAW13) (San Juan, Puerto Rico, 19-22 January 2009), sponsored by the Center for Gravitational Wave Astronomy, The University of Texas at Brownsville and The National Astronomy and Ionosphere Center `Bridging Gravitational Wave Astronomy and Observational Astrophysics', Proceedings of the 13th Gravitational Wave Data Analysis Workshop (GWDAW13) (San Juan, Puerto Rico, 19-22 January 2009), sponsored by the Center for Gravitational Wave Astronomy, The University of Texas at Brownsville and The National Astronomy and Ionosphere Center

    Science.gov (United States)

    Díaz, Mario; Jenet, Fredrick; Mohanty, Soumya

    2009-10-01

    The 13th Gravitational Wave Data Analysis Workshop took place in San Juan, Puerto Rico on the 19-22 January 2009. This annual event has become the established venue for presenting and discussing new results and techniques in this crucial subfield of gravitational wave astronomy. A major attraction of the event is that scientists working with all possible instruments gather to discuss their projects and report on the status of their observations. The Center for Gravitational Wave Astronomy at the University of Texas at Brownsville, USA (a National Aeronautics and Space Administration University Research Center and a National Science Foundation Center for Research Excellence in Science and Technology) jointly with the National Astronomy and Ionosphere Center (which operates the Arecibo Observatory) were the proud sponsors of the gathering this time. As in previous years, GWDAW13 was well attended by more than 100 participants from over 10 countries worldwide As this issue is going to press GEO, LIGO and VIRGO are undergoing new scientific runs of their instruments with the LIGO detectors holding the promise of increasing their operational sensitivity twofold as compared with the observations finished a couple of years ago. This new cycle of observations is a major milestone compared to the previous observations which have been accomplished. Gravitational waves have not been observed yet, but the instrumental sensitivity achieved has started producing relevant astrophysical results. In particular, very recently (Nature, 20 August 2009) a letter from the LIGO Scientific Collaboration http://www.ligo.org and the VIRGO Collaboration http://www.virgo.infn.it has set the most stringent limits yet on the amount of gravitational waves that could have come from the Big Bang in the gravitational wave frequency band where current gravitational wave detectors can observe. These results have put new constraints on the physical characteristics of the early universe. The proximity

  2. THE GENUS ROTHNEYIA CAMERON (HYMENOPTERA, ICHNEUMONIDAE)IN CHINA WITH DESCRIPTION OF ONE NEW SPECIES%中国洛姬蜂属(膜翅目,姬蜂科)及一新种记述

    Institute of Scientific and Technical Information of China (English)

    孙淑萍; 盛茂领

    2010-01-01

    报道在江西省发现的洛姬蜂属Rothneyia Cameron 1新种:江西洛姬蜂Rothneyia jiangxiensis sp.nov..指出了与近似种的鉴别特征并附彩色特征图.编制了我国已知种检索表.

  3. Allegheny County Asbestos Permits

    Data.gov (United States)

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

  4. 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...

  5. 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...

  6. Allegheny County Crash Data

    Data.gov (United States)

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

  7. 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...

  8. Allegheny County Parcel Boundaries

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — This dataset contains parcel boundaries attributed with county block and lot number. If viewing this description on the Western Pennsylvania Regional Data Center’s...

  9. 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...

  10. 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,...

  11. Allegheny County Boundary

    Data.gov (United States)

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

  12. Allegheny County Parcel Boundaries

    Data.gov (United States)

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

  13. Allegheny County TIF Boundaries

    Data.gov (United States)

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

  14. Washington County Crash Data

    Data.gov (United States)

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

  15. Allegheny County Plumbers

    Data.gov (United States)

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

  16. Allegheny County 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...

  17. Redescription of Campoletis sonorensis (Cameron, 1886) (Hymenoptera, Ichneumonidae, Campopleginae), parasitoid of Spodoptera frugiperda (J. E. Smith, 1797) (Lepidoptera, Noctuidae) in Brazil.

    Science.gov (United States)

    Camargo, L F; Brito, R A; Penteado-Dias, A M

    2015-11-01

    The fall armyworm Spodoptera frugiperda (Lepidoptera; Noctuidae) is a voracious pest of numerous crops of economic importance throughout the New World. In Brazil, its larvae are attacked by several species of parasitoid wasps, making them potential candidate as biological control agents against this pest. A survey of the parasitoid fauna on S. frugiperda in maize crops throughout Brazil reveals two species of Campoletis, which are morphologicaly very similar species. In this paper we combine these data with pictures from the type material of C. sonorensis and C. flavicincta, as well as their descriptions to provide a redescription to Campoletis sonorensis (Cameron, 1886) using for this both morphological characters and DNA Barcoding (Hebert et al., 2003) information, in an attempt to help with the correct identification of the taxa to improve biological control studies. PMID:26675917

  18. Allegheny County Zip Code Boundaries

    Data.gov (United States)

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

  19. 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...

  20. 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...

  1. Pilot-scale studies of soil vapor extraction and bioventing for remediation of a gasoline spill at Cameron Station, Alexandria, Virginia

    Energy Technology Data Exchange (ETDEWEB)

    Harrison, W.; Joss, C.J.; Martino, L.E. [and others

    1994-07-01

    Approximately 10,000 gal of spilled gasoline and unknown amounts Of trichloroethylene and benzene were discovered at the US Army`s Cameron Station facility. Because the base is to be closed and turned over to the city of Alexandria in 1995, the Army sought the most rapid and cost-effective means of spill remediation. At the request of the Baltimore District of the US Army Corps of Engineers, Argonne conducted a pilot-scale study to determine the feasibility of vapor extraction and bioventing for resolving remediation problems and to critique a private firm`s vapor-extraction design. Argonne staff, working with academic and private-sector participants, designed and implemented a new systems approach to sampling, analysis and risk assessment. The US Geological Survey`s AIRFLOW model was adapted for the study to simulate the performance of possible remediation designs. A commercial vapor-extraction machine was used to remove nearly 500 gal of gasoline from Argonne-installed horizontal wells. By incorporating numerous design comments from the Argonne project team, field personnel improved the system`s performance. Argonne staff also determined that bioventing stimulated indigenous bacteria to bioremediate the gasoline spin. The Corps of Engineers will use Argonne`s pilot-study approach to evaluate remediation systems at field operation sites in several states.

  2. Prediction of CO Cameron band and atomic oxygen visible emissions in comets C/2013 A1 (Siding Spring) and 67P/Churyumov-Gerasimenko

    Science.gov (United States)

    Raghuram, S.; Bhardwaj, A.

    2014-04-01

    The forbidden emissions of cometary species have special importance in the cometary spectra. The excited species which produce these forbidden emissions can not be populated by direct solar radiation excitation. These metastable species are produced mainly from dissociative excitation and ion-electron recombination reactions. Thus the observed emissions have been used as tracers of parent cometary species. The CO (a3 -X1) is a forbidden transition which produces Cameron band emission in the ultraviolet region during dissociative excitation of CObearing neutrals and the dissociative recombination of CO-ionic species in the cometary coma. Similarly, the forbidden transitions of metastable atomic oxygen 1S-3P (green, 5577 Å), and 1D-3P (red-doublet, 6300 and 6364 Å) produce line emissions in the visible region. These emissions have been used to probe H2O and CO2 abundances in the comets. We have developed a coupled chemistry-emission model to study various production and loss mechanisms of these excited metastable states. The model is applied to comet C/2013 A1 (Siding Spring) which will have a close fly-by of Mars during mid October, 2014, when Indian Mars orbiter Mission and NASA's Maven, would be orbiting the planet. The model is also applied on ESA's Rosetta mission target comet 67P/Churyumov-Gerasimenko which will be useful for different observations over various heliocentric distances. The predicted intensities and quantitative analysis of these emissions can be a theoretical support for various space and ground-based observations.

  3. Transition moments, Franck-Condon factors, and lifetimes of forbidden transitions - Calculation of the intensity of the Cameron system of CO.

    Science.gov (United States)

    James, T. C.

    1971-01-01

    Discussion of the factors affecting the intensity of forbidden transitions in diatomic molecules. It is shown that using Franck-Condon factors to predict relative band intensities is less reliable for forbidden transitions than it is for allowed transitions. The intensity of the 0,0 and 1,0 bands of the a super 3 pi-super 1 sigma Cameron system of CO are calculated using perturbation theory. The intensity arises from spin-orbit mixing of the A super 1 pi state with the a super 3 pi state. From the known spin-orbit coupling constant of the a super 1 pi state and the known intensity of the fourth positive A super 1 pi-super 1 sigma transition, the oscillator strengths of the 0,0 and 1,0 bands are calculated to be 1.63 x 10 to the minus 7th power and 1.99 x 10 to the minus 7th power. Lifetimes of various rotational levels are shown to range from 2.9 to several hundred milliseconds.-

  4. 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.

  5. Allegheny County Cemetery Outlines

    Data.gov (United States)

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

  6. 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,...

  7. 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,...

  8. County Political Boundaries (National)

    Data.gov (United States)

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

  9. SURVEY, SOLANO COUNTY, USA

    Data.gov (United States)

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

  10. Allegheny County Building Footprints

    Data.gov (United States)

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

  11. Minnesota County Boundaries

    Data.gov (United States)

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

  12. 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...

  13. Use of high resolution Airborne Laser Scanning data for landslide interpretation under mixed forest and tropical rainforest: case study in Barcelonnette, France and Cameron Highlands, Malaysia

    Science.gov (United States)

    Azahari Razak, Khamarrul; Straatsma, Menno; van Westen, Cees; Malet, Jean-Philippe; de Jong, Steven M.

    2010-05-01

    Airborne Laser Scanning (ALS) is the state of the art technology for topographic mapping over a wide variety of spatial and temporal scales. It is also a promising technique for identification and mapping of landslides in a forested mountainous landscape. This technology demonstrates the ability to pass through the gaps between forest foliage and record the terrain height under vegetation cover. To date, most of the images either derived from satellite imagery, aerial-photograph or synthetic aperture radar are not appropriate for visual interpretation of landslide features that are covered by dense vegetation. However, it is a necessity to carefully map the landslides in order to understand its processes. This is essential for landslide hazard and risk assessment. This research demonstrates the capabilities of high resolution ALS data to recognize and identify different types of landslides in mixed forest in Barcelonnette, France and tropical rainforest in Cameron Highlands, Malaysia. ALS measurements over the 100-years old forest in Bois Noir catchment were carried out in 2007 and 2009. Both ALS dataset were captured using a Riegl laser scanner. First and last pulse with density of one point per meter square was derived from 2007 ALS dataset, whereas multiple return (of up to five returns) pulse was derived from July 2009 ALS dataset, which consists of 60 points per meter square over forested terrain. Generally, this catchment is highly affected by shallow landslides which mostly occur beneath dense vegetation. It is located in the dry intra-Alpine zone and represented by the climatic of the South French Alps. In the Cameron Highlands, first and last pulse data was captured in 2004 which covers an area of up to 300 kilometres square. Here, the Optech laser scanner was used under the Malaysian national pilot study which has slightly low point density. With precipitation intensity of up to 3000 mm per year over rugged topography and elevations up to 2800 m a

  14. Willingness to pay for highlands' agro-tourism recreational facility: A case of Boh Tea plantation, Cameron Highlands, Malaysia

    International Nuclear Information System (INIS)

    The increase in tourist demand for highland experience is inevitable. Cameron Highlands, established as a Tea Plantation Estate during the British Colonial era in 1929, has evolved into a major highland tourism destination providing a cool climatic experience coupled with scenic beauty in the midst of Tudor concept architecture which enhances the destinations historical value. Realising such tourism potential, the Boh Plantation management has provided a visitor centre as recreational facility for tourist utilisation. However, the absence in imposing an entrance fee has left a vacuum in determining the recreational economic value of this facility as the benefit of this agro-tourism product to tourists remains unknown. It would be important for the management to identify the benefit since the development and maintenance of the facility is costly. Hence, the purpose of this paper is to estimate the benefit of such establishment in highlands area by assessing visitor's Willingness to pay (WTP). The study examines, explores and debates the issues in a critical yet supportive environment especially highlands. The study obtained 179 usable questionnaires from visitors during weekends, weekdays and public holidays. The result showed that 59% of the visitors were willing to pay for the agro-tourism product. The WTP was estimated at RM 7.21 (€1.81). Three factors were found to be influencing WTP which were monthly income, years of education and perception on scenery. Although the study was conducted post development, the finding indicated the WTP for current management practise. Should the management change its style, it would also affect WTP and also the total economic value. Since WTP is established concept, the finding of the study reflects on the opportunities, barriers and challenges inherent in embracing post-disciplinary approaches to research and suggest ways to further enhance the approach

  15. Effects of solar zenith angles on CO Cameron bands emission intensities in the dayside atmosphere of Mars: MEX/SPICAM observations

    Science.gov (United States)

    Pothuraju, Thirupathaiah; Haider, Syed A.

    2016-07-01

    We have developed a model to calculate the photoelectron energy fluxes and emission intensities of the CO Cameron bands in the upper atmosphere of Mars between solar zenith angles 0° to 90°. The production and loss mechanisms of CO (a ^{3}Π) are incorporated in the model. The atmospheric neutral parameters are adopted from the Mars Climate Database (v5.2). The required solar EUV fluxes are taken from the Solar2000 model (v2.37) and scaled to Mars. The photoelectron fluxes are calculated at different solar zenith angles using an analytical yield spectrum approach based on the Monte Carlo method. In this model we have assumed that crustal magnetic fields are horizontal in direction. Thus, photoelectrons are losing their energy at the same height where they are produced. This assumption is valid at mid and high latitudes where magnetic fields are mostly horizontal. We have also developed a coupled chemistry model to calculate the ion and electron density at different solar zenith angles, which are used in the airglow model. The model results are compared with the observations provided by the SPICAM onboard MEX. Our model reproduces the observed intensity profiles quite well. The CO (a ^{3}Π) is produced due to photoelectron excitation/dissociation, photodissociation, and dissociative recombination processes. It is destroyed by CO _{2}, CO and radiative decay. It is found that photon and photoelectron dissociation are dominant production processes of CO (a ^{3}Π), while radiative decay is a major loss mechanism of this state. The estimated photoelectron fluxes, production rates and intensities are decreasing with increasing solar zenith angles.

  16. Snohomish County Biodiesel Project

    Energy Technology Data Exchange (ETDEWEB)

    Chang, Terrill; Carveth, Deanna

    2010-02-01

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

  17. TERRAIN, KENT COUNTY, RHODE ISLAND

    Data.gov (United States)

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

  18. TERRAIN, PROVIDENCE COUNTY, RHODE ISLAND

    Data.gov (United States)

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

  19. Allegheny County Property Sale Transactions

    Data.gov (United States)

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

  20. 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...

  1. 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...

  2. Allegheny County Public Building Locations

    Data.gov (United States)

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

  3. Valencia County E-911 Roads

    Data.gov (United States)

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

  4. 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...

  5. Sonoma County, CA, 2013 Lidar

    Data.gov (United States)

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

  6. 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...

  7. 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...

  8. County Amenities and Net Migration

    OpenAIRE

    Rupasingha, Anil; Goetz, Stephan J.

    2004-01-01

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

  9. 77 FR 21619 - Office of Commercial Space Transportation; Notice of Intent To Prepare an Environmental Impact...

    Science.gov (United States)

    2012-04-10

    ... located in Cameron County, Texas. Under the Proposed Action, SpaceX proposes to construct a vertical... to launch orbital and suborbital launch vehicles from a private site in Cameron County in southern... reusable suborbital launch vehicles from a launch site on privately-owned property in Cameron County,...

  10. floodzones_cameron_FEMA_1999

    Data.gov (United States)

    Louisiana Geographic Information Center — The Q3 Flood Data are derived from the Flood Insurance Rate Maps (FIRMS) published by the Federal Emergency Management Agency (FEMA). The file is georeferenced to...

  11. 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....

  12. Review about National Health Service Reform of Cameron Government in England%英国卡梅伦政府医疗服务体系改革评述

    Institute of Scientific and Technical Information of China (English)

    吴传俭

    2012-01-01

    The Core purpose of National Health Service (NHS) Reform of Cameron Government in England is to improve the equity and efficiency, and to put the patients and clinical professionals in the core position in the decision-making of fund using. But the reform is limited by the pressure come from stakeholders, has to modify the reform contents with large amendments in the legislation steps. To streamline the NHS reform envisions and modified contents and last legislation frames of Cameron government, especially to grape the contents that China reference in current reforms of health insurance, is very important to the improvement of health insurance and health service system in China, and has a certain reference and warning function.%英国首相卡梅伦联合政府对英格兰的国民医疗服务体系进行改革的核心目标在于改善公平和提高效率,将病人和临床专业人员置于决策和基金使用的核心位置,但受限于各方面的压力,不得不在最终立法阶段进行了大幅度的修改.理清卡梅伦政府的医改设想、修订内容和最终的立法框架问题,尤其是当前我国正在借鉴的内容,对我国完善医疗保险和卫生服务体系,具有一定的借鉴和警示作用.

  13. 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...

  14. 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...

  15. Soils - Volusia County Soils (Polygons)

    Data.gov (United States)

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

  16. 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...

  17. 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...

  18. 2009 SCDNR Berkeley County Lidar

    Data.gov (United States)

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

  19. Guadalupe County E-911 Roads

    Data.gov (United States)

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

  20. 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...

  1. 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...

  2. Sierra County E-911 Roads

    Data.gov (United States)

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

  3. ORTHOIMAGERY, ERIE COUNTY, OHIO USA

    Data.gov (United States)

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

  4. ORTHOIMAGERY, LICKING COUNTY, OHIO USA

    Data.gov (United States)

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

  5. Health Resources County Comparison Tool

    Data.gov (United States)

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

  6. Allegheny County 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;...

  7. 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...

  8. 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...

  9. Horry County Beach Management Plan

    Data.gov (United States)

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

  10. 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...

  11. 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...

  12. Allegheny County Basin Outlines Map

    Data.gov (United States)

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

  13. 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...

  14. 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...

  15. 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...

  16. Torrance County E-911 Roads

    Data.gov (United States)

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

  17. Geothermal development plan: Maricopa county

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

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

  18. 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.

  19. 2010 South Carolina DNR Lidar: Lexington County

    Data.gov (United States)

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

  20. Allegheny County Parks Data Web Map

    Data.gov (United States)

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

  1. 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...

  2. 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.

  3. 2010 South Carolina DNR Lidar: Saluda County

    Data.gov (United States)

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

  4. 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...

  5. 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...

  6. Allegheny County Voting District Boundaries (2015)

    Data.gov (United States)

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

  7. 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...

  8. Allegheny County Magisterial Districts Outlines (2015)

    Data.gov (United States)

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

  9. 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...

  10. 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...

  11. 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...

  12. Allegheny County-Owned Bridges Centerlines

    Data.gov (United States)

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

  13. Allegheny County Polling Place Locations (November 2014)

    Data.gov (United States)

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

  14. Allegheny County Pennsylvania Senate District Boundaries

    Data.gov (United States)

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

  15. 2012 FEMA Lidar: Middle Counties (VA)

    Data.gov (United States)

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

  16. 2012 FEMA Lidar: Southern Virginia Counties

    Data.gov (United States)

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

  17. Address Points - Volusia County Addresses (Point)

    Data.gov (United States)

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

  18. 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.

  19. The surficial aquifer in Pinellas County, Florida

    Science.gov (United States)

    Causseaux, K.W.

    1985-01-01

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

  20. Huanghe Culture at Jiaxian County

    Institute of Scientific and Technical Information of China (English)

    1997-01-01

    THE Huanghe River has long been regarded as the mother river by Chinese and the Huanghe River valley the cradle of ancient Chinese culture. Last year, I visited Jiaxian County, an ancient town by the Huanghe River in Shaanxi Province, and had the opportunity to experience traditional Huanghe culture. The largest annual Baiyun Taoist Temple fair was held

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

    Science.gov (United States)

    Dalton, Phyllis I.

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

  2. Otero County E-911 Roads

    Data.gov (United States)

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

  3. 7 CFR 7.10 - Conduct of county convention.

    Science.gov (United States)

    2010-01-01

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

  4. 75 FR 25308 - Environmental Impact Statement: Winnebago County, IL and Rock County, WI

    Science.gov (United States)

    2010-05-07

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Winnebago County, IL and Rock County, WI AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice of Intent. SUMMARY: The FHWA...

  5. River Restoration Data in Lamoille County, Vermont

    Data.gov (United States)

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

  6. Colorectal cancer screening among Latinos from U.S. cities along the Texas-Mexico border.

    Science.gov (United States)

    Fernandez, Maria E; Wippold, Rosario; Torres-Vigil, Isabel; Byrd, Theresa; Freeberg, Diamond; Bains, Yadvindera; Guajardo, Jessica; Coughlin, Steven S; Vernon, Sally W

    2008-03-01

    Colorectal cancer (CRC) screening rates are comparatively low for U.S. Hispanics. To learn more about the factors influencing CRC screening among Hispanics living along the U.S.-Mexico border, 12 focus groups were conducted with Hispanic men and women aged 50 years and older in three Texas counties; Cameron County (Brownsville), Webb County (Laredo), and El Paso County, (El Paso). The focus group guide contained questions about health care behavior, knowledge about CRC, experiences with cancer, and factors that influence CRC screening. A total of 92 individuals participated with the majority aged 50-69 (75%). Twenty percent were born in the United States and 51% had lived in the United States for more than 20 years. Participants had low levels of education, income, and insurance coverage. The analysis revealed several overarching and contextual themes relating to knowledge, attitudes, beliefs, and emotions about cancer and CRC screening. A prevalent theme that emerged from all groups was frustration and a lack of confidence in the U.S. healthcare system. Few participants had been advised by their providers to obtain CRC screening. Lack of patient knowledge about colorectal cancer and screening appeared to be a critical factor influencing screening. Themes about death and pain due to cancer were prevalent as were cultural factors such as machismo and embarrassment. System level barriers such as cost, medical insurance and transportation also impacted screening. These findings suggest that strategies are needed to educate Hispanic residents of border communities about CRC and to motivate them to undergo CRC screening.

  7. 75 FR 26709 - Clarke County Water Supply Project, Clarke County, IA

    Science.gov (United States)

    2010-05-12

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

  8. 33 CFR 100.905 - Door County Triathlon; Door County, WI.

    Science.gov (United States)

    2010-07-01

    ... 33 Navigation and Navigable Waters 1 2010-07-01 2010-07-01 false Door County Triathlon; Door County, WI. 100.905 Section 100.905 Navigation and Navigable Waters COAST GUARD, DEPARTMENT OF HOMELAND...; Door County, WI. (a) Regulated Area. A regulated area is established to include all waters of Green...

  9. Problems and Outlet of County Economy Development in China

    OpenAIRE

    Du, Li

    2009-01-01

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

  10. Landscape changes in Nevada County

    OpenAIRE

    Walker, Peter A.; Marvin, Sarah J.; Fortmann, Louise P.

    2003-01-01

    Large-scale migration of urban people seeking a better quality of life in rural places has generated considerable concern about “rural sprawl.” In a multimethod, fine-scale, longitudinal study of land ownership and use in Nevada County, we found that this quintessential “exurban” community reveals a complex story of interacting social and ecological change with some reasons for concern, but also optimism. Land-use data from 1957 to 2001 shows dramatic fragmentation of the county’s landscape a...

  11. Geothermal development issues: Recommendations to Deschutes County

    Energy Technology Data Exchange (ETDEWEB)

    Gebhard, C.

    1982-07-01

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

  12. Educational and Demographic Profile: San Benito 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 San Benito County, nearby counties, and the state. The profile highlights the relationship between various factors that affect the economic well-being of individuals and communities. This presentation of information provides a framework for enhanced…

  13. Public Library Service for San Benito County.

    Science.gov (United States)

    McGovern, Gail

    A sparsely populated, agricultural area, San Benito County (California) provides library services in conjunction with the Hollister city library and in cooperation with the San Juan Bautista city library. Financing comes from the county general fund. There are no written goals or policy statements and no professionally trained librarians. As…

  14. Environmental assessment: Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

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

  15. 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.

  16. 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)

  17. Fayette County Better Buildings Initiative

    Energy Technology Data Exchange (ETDEWEB)

    Capella, Arthur

    2015-03-04

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

  18. BASEMAP DATABASE, CAMERON PARISH, LOUISIANA, USA

    Data.gov (United States)

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

  19. Euroopa ja Venemaa suhted / Fraser Cameron

    Index Scriptorium Estoniae

    Cameron, Fraser

    2008-01-01

    Väide, et planeeritav gaasitoru rajamine Läänemerre viib Venemaa suurenenud militaartegevuseni sealses piirkonnas, ei ole õige ja on murettekitav, et turvalisuspoliitika lipu all võimendatakse Euroopa Liidu ja Venemaa vahelisi pingeid, kirjutab Euroopa Liidu Vene keskuse juhataja

  20. Costilla County Biodiesel Pilot Project

    Energy Technology Data Exchange (ETDEWEB)

    Doon, Ben; Quintana, Dan

    2011-08-25

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  5. 76 FR 30152 - East Calloway County Middle School Mercury Spill Site, Murray, Calloway County, KY; Notice of...

    Science.gov (United States)

    2011-05-24

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

  6. 2015 Miami-Dade County Lidar

    Data.gov (United States)

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

  7. FY2015 VHA Enrollees by County

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  9. 2011 South Carolina DNR Lidar: York County

    Data.gov (United States)

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

  10. 2012 South Carolina DNR Lidar: Calhoun County

    Data.gov (United States)

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

  11. 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...

  12. 2012 South Carolina DNR Lidar: Abbeville County

    Data.gov (United States)

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

  13. 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)

  14. 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:...

  15. 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.

  16. Judicial Districts, Published in unknown, Richland County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Judicial Districts dataset as of unknown. Data by this publisher are often provided in Wisconsin County Coordinates (Richland) coordinate system; in a Lambert...

  17. 2004 SWFWMD Citrus County Lidar Survey

    Data.gov (United States)

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

  18. Basemap Framework Submission for Floyd County IA

    Data.gov (United States)

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

  19. Environmental assessment: Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

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

  20. Hydrologic Data Sites for Saltlake County, Utah

    Data.gov (United States)

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

  1. 2005 Hancock and Jackson Counties, MS Lidar

    Data.gov (United States)

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

  2. National Weather Service County Warning Area Boundaries

    Data.gov (United States)

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

  3. 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...

  4. Bioassessment of Black Creek, Holmes County, Mississippi

    Data.gov (United States)

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

  5. 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...

  6. Hydrologic Data Sites for Utah County, Utah

    Data.gov (United States)

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

  7. 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...

  8. Hydrologic Data Sites for Carbon County, Utah

    Data.gov (United States)

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

  9. Hydrologic Data Sites for Morgan County, Utah

    Data.gov (United States)

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

  10. 2012 South Carolina DNR Lidar: Edgefield County

    Data.gov (United States)

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

  11. Contours, Published in unknown, Sheboygan county.

    Data.gov (United States)

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

  12. 2008 South Carolina Lidar: Chester County

    Data.gov (United States)

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

  13. 2008 South Carolina Lidar: Marion County

    Data.gov (United States)

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

  14. 2008 South Carolina Lidar: Newberry County

    Data.gov (United States)

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

  15. 2008 South Carolina Lidar: Clarendon County

    Data.gov (United States)

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

  16. Hydrologic Data Sites for Wayne County, Utah

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  18. Hydrologic Data Sites for Sanjuan County, Utah

    Data.gov (United States)

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

  19. Elevation Data for Jefferson County, WI

    Data.gov (United States)

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

  20. 2004 St. Johns County, Florida Lidar

    Data.gov (United States)

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

  1. 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...

  2. 2011 ARRA Lidar: Hidalgo County (TX)

    Data.gov (United States)

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

  3. 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...

  4. Basemap Framework Submission for Story County IA

    Data.gov (United States)

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

  5. 2009 Bayfield County Lake Superior Lidar Survey

    Data.gov (United States)

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

  6. Hydrologic Data Sites for Iron County, Utah

    Data.gov (United States)

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

  7. Hydrologic Data Sites for Daggett County, Utah

    Data.gov (United States)

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

  8. Hydrologic Data Sites for Cache County, Utah

    Data.gov (United States)

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

  9. Hydrologic Data Sites for Sanpete County, Utah

    Data.gov (United States)

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

  10. 2012 South Carolina DNR Lidar: Aiken County

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  12. 2008 South Carolina Lidar: Chesterfield County

    Data.gov (United States)

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

  13. 2008 South Carolina Lidar: Williamsburg County

    Data.gov (United States)

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

  14. 2008 South Carolina Lidar: Marlboro County

    Data.gov (United States)

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

  15. Bioassessment of Hollis Creek, Oktibbeha County, Mississippi

    Data.gov (United States)

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

  16. Environmental assessment, Deaf Smith County site, Texas

    International Nuclear Information System (INIS)

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

  17. Survey for bats in Jackson County, Colorado

    Data.gov (United States)

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

  18. Environmental assessment: Deaf Smith County site, Texas

    Energy Technology Data Exchange (ETDEWEB)

    1986-05-01

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

  19. 2005 Delaware Coastal Program Lidar: Sussex County

    Data.gov (United States)

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

  20. 2008 South Carolina Lidar: Greenwood County

    Data.gov (United States)

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

  1. 2008 St. Johns County, FL Countywide Lidar

    Data.gov (United States)

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

  2. 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...

  3. Tour of Moffat County allotments and recommendations

    Data.gov (United States)

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

  4. Rural migration in Nevada: Lincoln County

    International Nuclear Information System (INIS)

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

  5. 2008 South Carolina Lidar: Darlington County

    Data.gov (United States)

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

  6. 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,...

  7. 2008 South Carolina Lidar: Orangeburg County

    Data.gov (United States)

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

  8. 2008 South Carolina Lidar: Laurens County

    Data.gov (United States)

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

  9. 2008 South Carolina Lidar: Union County

    Data.gov (United States)

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

  10. 2008 South Carolina Lidar: Cherokee County

    Data.gov (United States)

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

  11. 2008 South Carolina Lidar: Dillon County

    Data.gov (United States)

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

  12. 2008 South Carolina Lidar: Fairfield County

    Data.gov (United States)

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

  13. 2010 FEMA Lidar: Ozaukee County (WI)

    Data.gov (United States)

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

  14. 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

  15. The Water Cycle in Volusia County

    Science.gov (United States)

    German, Edward R.

    2009-01-01

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

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

    Data.gov (United States)

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

  17. Geothermal development plan: Maricopa County

    Energy Technology Data Exchange (ETDEWEB)

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

    1982-08-01

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

  18. The Bridge of Mandolin County

    Science.gov (United States)

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

    1999-12-01

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

  19. Development Path of Different County-Level Towns

    Institute of Scientific and Technical Information of China (English)

    Haijiao; ZHANG; Zhenghe; ZHANG

    2015-01-01

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

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

    Science.gov (United States)

    Cumberland County Coll., Vineland, NJ.

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

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

    Science.gov (United States)

    Anyango, Onginjo Rose; Orodho, John Aluko

    2016-01-01

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

  2. 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.

  3. INTEGRATED WASTE MANAGEMENT SYSTEM IN HARGHITA COUNTY

    Directory of Open Access Journals (Sweden)

    Mihai-Constantin AVORNICULUI

    2015-11-01

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

  4. 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),...

  5. 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...

  6. 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...

  7. Allegheny County Pennsylvania House of Representatives District Boundaries

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  9. 2011 USGS-FEMA Lidar: King William County (VA)

    Data.gov (United States)

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

  10. 2012 USGS-FEMA Lidar: Virginia Northern Counties (South)

    Data.gov (United States)

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

  11. 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...

  12. 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.

  13. Flooded County Picks Up the Pieces

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

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

  14. The Marketing Strategy Suggestions for Yishion in Jing County

    OpenAIRE

    Song, Haifeng

    2012-01-01

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

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

    Science.gov (United States)

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

    1970-01-01

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

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

    OpenAIRE

    Sharon K. Long; Zuckerman, Stephen

    1998-01-01

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Science.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  6. 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.

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

    Data.gov (United States)

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

  8. Academic Decathlon--San Diego County.

    Science.gov (United States)

    San Diego County Office of Education, CA.

    Publicity materials and a brief program description of the 1983 San Diego County (California) Academic Decathlon are presented. The program description discusses the background, subject coverage, and rules of the Academic Decathlon, a program to promote academic excellence among high school juniors and seniors through competition. The Academic…

  9. Survey of Public Libraries Summit County, Ohio.

    Science.gov (United States)

    Blasingame, Ralph

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

  10. Community Living in Three Wisconsin Counties.

    Science.gov (United States)

    Taylor, Steven J.

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

  11. Wind Energy Guide for County Commissioners

    Energy Technology Data Exchange (ETDEWEB)

    Costanti, M.

    2006-10-01

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

  12. Green County Nuclear Power Plant. License application

    International Nuclear Information System (INIS)

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

  13. Yellowstone County Health Manpower and Education Profile.

    Science.gov (United States)

    Callen, John; And Others

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

  14. 2008 FEMA Lidar: South Oneida County (NY)

    Data.gov (United States)

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

  15. 24 CFR 570.307 - Urban counties.

    Science.gov (United States)

    2010-04-01

    ... DEVELOPMENT COMMUNITY FACILITIES COMMUNITY DEVELOPMENT BLOCK GRANTS Entitlement Grants § 570.307 Urban... 24 Housing and Urban Development 3 2010-04-01 2010-04-01 false Urban counties. 570.307 Section 570.307 Housing and Urban Development Regulations Relating to Housing and Urban Development...

  16. Is Middlesex County College Accomplishing Its Mission?

    Science.gov (United States)

    Balabkins, Xenia P.

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

  17. Lycoming County Women's History Curriculum Guide

    Science.gov (United States)

    Rogers, Amy

    2011-01-01

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

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

    Science.gov (United States)

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

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

  19. 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

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

    Data.gov (United States)

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

  1. Energy Efficient Buildings, Salt Lake County, Utah

    Energy Technology Data Exchange (ETDEWEB)

    Barnett, Kimberly

    2012-04-30

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

  2. A MULTIVARIATE ANALYSIS OF CROATIAN COUNTIES ENTREPRENEURSHIP

    Directory of Open Access Journals (Sweden)

    Elza Jurun

    2012-12-01

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

  3. Bexar County Parking Garage Photovoltaic Panels

    Energy Technology Data Exchange (ETDEWEB)

    Weir, Golda

    2012-01-23

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

  4. Application of Ionizing Radiation in Nairobi County

    International Nuclear Information System (INIS)

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

  5. Geohydrology of Muscatine Island, Muscatine County, Iowa

    Science.gov (United States)

    Hansen, R.E.; Steinhilber, W.L.

    1977-01-01

    Muscatine Island is a wide segment of the west bank of the Mississippi River flood plain that covers about 50 square miles in Muscatine and Louisa Counties; the project area encompasses the 30 square miles in Muscatine County. The flood plain is underlain by thick, permeable alluvial deposits that comprise a water-table aquifer that is developed extensively for water supplies in the area. The aquifer consists principally of sand and gravel, interbedded with lenses of silt and clay. Its saturated thickness ranges from about 40 to 140 feet. The transmissivity and storage coefficients of the aquifer range from about 20,000 ft.2/day and 0.15. respectively, in the western part of the Island to about 39,500 ft.2/day and 0.24 in the eastern part. The amount of water stored in the aquifer, under normal conditions, is about 100 billion gallons.

  6. County digital geologic mapping. Final report

    Energy Technology Data Exchange (ETDEWEB)

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

    1995-12-31

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

  7. Columbia County Habitat for Humanity Passive Townhomes

    Energy Technology Data Exchange (ETDEWEB)

    None, None

    2016-03-01

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

  8. Migration Turnover Rates in Mountain States Counties

    OpenAIRE

    Israelsen, William J.; Israelsen, L. Dwight; Israelsen, Ryan D.

    2006-01-01

    Studies of migration typically examine migration between countries, or, in the United States, migration between states. Recently, there have been several studies done on the determinants of migration at the county level. The current study introduces a new concept into the migration literature: the migration turnover rate (MTR). The migration turnover rate is similar to an employee turnover rate in that it measures the turnover through in-migration and out-migration of the population of an are...

  9. Migration Turnover Rates in United States Counties

    OpenAIRE

    Israelsen, L. Dwight; Israelsen, Ryan D.; Israelsen, William J.

    2006-01-01

    Studies of migration typically examine migration between countries, or, in the United States, migration between states. Recently, there have been several studies done on the determinants of migration at the county level. The current study introduces a new concept into the migration literature: the migration turnover rate (MTR). The migration turnover rate is similar to an employee turnover rate in that it measures the turnover through in-migration and out-migration of the population of an are...

  10. Rogaland County Council and Universal Design.

    Science.gov (United States)

    Ask, Linda Nilsen

    2016-01-01

    Rogaland Council has adopted Universal Design as an overriding principle for all planning and development in the county. Private stakeholders and public agencies collaborated in the development of a successful County Plan for Universal Design that has been recognised as an example of good practice by Norway's public authorities. The plan provides guidelines for both state and municipal planning and operations in several policy areas from public transport to educational and cultural buildings to sports and recreation areas. One of the main contributions of the plan is an evaluation methodology built on the "TEK-10" national standard, and developed with the participation of authorities, experts, staff from municipalities and representatives of organisations for people with disabilities. This method is used to assess the accessibility and compliance with Universal Design principles of different destinations. This information is then published in the dedicated website www.tilgjengelighet.no which serves as an information channel for the general public about accessibility to various locations in the county. A community engagement method has been developed for including user groups in the design process for both new buildings and renovation projects. Representatives for user groups are chosen by the Council's Disability Committee, and these help to inform the planning and construction process. The plan also emphasises the development of knowledge and skills in Universal Design through educational programmes for secondary schools and colleges as well as training opportunities for councillors. This paper summarises the plan's rationale and the progress made until now. PMID:27534289

  11. 78 FR 23629 - Office of Commercial Space Transportation; Notice of Availability and Request for Comment on the...

    Science.gov (United States)

    2013-04-19

    ... hours at the following Brownsville locations: Brownsville Public Library Main Branch, 2600 Central Blvd. Southmost Branch Library, 4320 Southmost Blvd. University of Texas at Brownsville, Oliveira Library, 80...

  12. NOAA Office for Coastal Management Coastal Inundation Digital Elevation Model: Brownsville, Texas Weather Forecast Office (WFO)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This digital elevation model (DEM) is a part of a series of DEMs produced for the National Oceanic and Atmospheric Administration Office for Coastal Management's...

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1996-02-01

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

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

    Science.gov (United States)

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

    2010-01-01

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

  15. 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.

  16. 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.

  17. 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.

  18. Parcels and Land Ownership - Volusia County Parcels (Polygons)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — Parcel Ownership Polygon Layer: Polygons showing property ownership created from the "master" subdivision base map for Volusia County. Multiple lots and parcels...

  19. 77 FR 23501 - Notice of Inventory Completion: Sheboygan County Historical Museum, Sheboygan, WI

    Science.gov (United States)

    2012-04-19

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

  20. 76 FR 9640 - Prevailing Rate Systems: Santa Clara, CA, Tulsa County, OK, and Angelina County, TX

    Science.gov (United States)

    2011-02-22

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

  1. 75 FR 45557 - Prevailing Rate Systems; Definition of Tulsa County, OK, and Angelina County, TX, to...

    Science.gov (United States)

    2010-08-03

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

  2. ECONOMIC EVALUATION OF BEEKEEPING IN KARLOVACKA COUNTY

    Directory of Open Access Journals (Sweden)

    Janja Kezić

    2009-03-01

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

  3. CARPATHIANS ENDEMIC TAXA IN ARGEŞ COUNTY

    Directory of Open Access Journals (Sweden)

    Valeriu Alexiu

    2013-12-01

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

  4. Y microdeletions in the Istria county, Croatia

    Institute of Scientific and Technical Information of China (English)

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

    2005-01-01

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

  5. 76 FR 44613 - Designation of Eight Counties as High Intensity Drug Trafficking Areas

    Science.gov (United States)

    2011-07-26

    ...The Director of the Office of National Drug Control Policy has designated eight additional counties as High Intensity Drug Trafficking Areas pursuant to 21 U.S.C. 1706. The new counties are (1) Orange County in New York as part of the New York/New Jersey HIDTA; (2) Medocino County in California as part of the Northern California HIDTA; (3) Porter County in Indiana as part of the Lake County......

  6. 75 FR 39614 - Approval of Noise Compatibility Program for Modesto City-County Airport, Modesto, CA

    Science.gov (United States)

    2010-07-09

    ...-County Airport study contains a proposed noise compatibility program comprised of actions designed for... Ceres, and Stanislaus County General Plans; Consistently designate the area northwest of the...

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

    International Nuclear Information System (INIS)

    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

  8. 7 CFR 714.43 - Recommendation by county committee.

    Science.gov (United States)

    2010-01-01

    ... 7 Agriculture 7 2010-01-01 2010-01-01 false Recommendation by county committee. 714.43 Section 714..., DEPARTMENT OF AGRICULTURE FARM MARKETING QUOTAS, ACREAGE ALLOTMENTS, AND PRODUCTION ADJUSTMENT REFUNDS OF PENALTIES ERRONEOUSLY, ILLEGALLY, OR WRONGFULLY COLLECTED § 714.43 Recommendation by county...

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

    DEFF Research Database (Denmark)

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

    1995-01-01

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

  10. 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... BUSINESS-COOPERATIVE SERVICE, RURAL UTILITIES SERVICE, AND FARM SERVICE AGENCY, DEPARTMENT OF AGRICULTURE... § 1962.16 Accounting by County Supervisor. The Agency will maintain a current record of each...

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

    Science.gov (United States)

    Benton, J. Edwin

    2007-01-01

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

  12. Is It Feasible to Build a College In Every County?

    Institute of Scientific and Technical Information of China (English)

    2008-01-01

    Imagine every one of China’s 2,200 counties with its very own college. The idea may not be as far fetched as it seems. Xin Lijian, President of Xinfu Education Group, a Guangzhou-based private school operator, recently proposed to build local colleges affiliated to county governments, across the country. His vision

  13. Measuring Research on County Agricultural Technological Innovation Ability Index

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

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

  14. Cache CountyCommunity Survey of Future Landfill Alternatives

    OpenAIRE

    Jackson-Smith, Douglas B.; Caplan, A.; Jones, T.; Grijalva, T.

    2003-01-01

    State University in the spring of 2003. The purpose of this survey was to gather scientific information regarding the concerns, perceptions, and preferences of Cache County adults related to various future landfill siting options. The survey was conducted at the request of local officials, the Countywide Service District, and various advisory committees established to make recommendations on a future Cache County landfill site.

  15. Measuring county resilience after the 2008 Wenchuan earthquake

    Directory of Open Access Journals (Sweden)

    X. Li

    2015-01-01

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

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

    Institute of Scientific and Technical Information of China (English)

    2010-01-01

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

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

    Energy Technology Data Exchange (ETDEWEB)

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

    1979-04-27

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

  18. Hydrogeologic framework of LaSalle County, Illinois

    Science.gov (United States)

    Kay, Robert T.; Bailey, Clinton R.

    2016-10-28

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

  19. Environmental assessment overview, 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 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.

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

    International Nuclear Information System (INIS)

    In February 1983, the US Department of Energy (DOE) identified a location in Deaf Smith County, Texas, as one of nine potentially acceptable sites for 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

  1. Chemical composition of streams during low flow; Fairfax County, Virginia

    Science.gov (United States)

    Larson, J.D.

    1978-01-01

    Water samples were collected and stream discharges were measured at 49 sites in Fairfax County, Virginia during a period of low flow in August 1977. In addition, pesticide and metal content of residue on stream-bottom sediments from several major streams in the county were analysed. Waters from the streams in Fairfax County have generally good chemical quality during low flow. One stream in Vienna, Virginia has a high sodium chloride content, suggesting an upstream discharge of salty water. Higher concentrations of dissolved, solids reflect both the effects of geology and urbanization. Streams draining Triassic rocks in the western section of the county are characterized by the greatest natural concentration of dissolved minerals in the water. The concentrations of pesticide and metal residue associated with bottom sediments suggest a low level of pollution in the streams. One site in western Fairfax County contained above-normal levels of polychlorinated biphenyls (PCB's) in the stream sediments.

  2. 75 FR 9925 - National Register of Historic Places; Notification of Pending Nominations and Related Actions

    Science.gov (United States)

    2010-03-04

    ... Brownsville City Cemetery and Hebrew Cemetery, Bound by E. 5th St., Madison St., E 2nd St., and Town Resaca... 60.13 of 36 CFR Part 60 written comments concerning the significance of these properties under the... River, Hammond, 10000124 Marion County Emerson Heights Historic District, (Historic Residential...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:24000 (1in=2000ft) scale, was produced all or in part from Published Reports/Deeds information as of 1997....

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

    Data.gov (United States)

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

  7. County and Parish Boundaries, Pulaski County Political Boundary, Published in 2010, 1:2400 (1in=200ft) scale, Puslaski County.

    Data.gov (United States)

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

  8. County and Parish Boundaries, County Boundary, Published in 1992, 1:4800 (1in=400ft) scale, LaCrosse County Zoning Planning & Land Information.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:4800 (1in=400ft) scale, was produced all or in part from Published Reports/Deeds information as of 1992....

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

    Data.gov (United States)

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

  10. Trails, Bike, Bike trails in Johnson County maintained by Johnson County Parks and Recreation Department, Published in unknown, Johnson County AIMS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, Bike dataset, was produced all or in part from Published Reports/Deeds information as of unknown. It is described as 'Bike trails in Johnson County...

  11. County and Parish Boundaries, Madison County Boundary, Published in unknown, 1:1200 (1in=100ft) scale, Madison County Council of Governments.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Hardcopy Maps information as of unknown. It is...

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

    Data.gov (United States)

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

  13. Trails, Hiking, Bike trails in Johnson County maintained by Johnson County Parks and Recreation Department, Published in unknown, Johnson County AIMS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Trails, Hiking dataset, was produced all or in part from Published Reports/Deeds information as of unknown. It is described as 'Bike trails in Johnson County...

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

    International Nuclear Information System (INIS)

    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

  15. 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 ...

  16. The Impacts of the Montgomery County Public Schools' Proposed 2016 Budget on Montgomery County and the State of Maryland Economies

    Science.gov (United States)

    Fuller, Stephen S.

    2015-01-01

    The Montgomery County Public Schools (MCPS) is a major source of economic activity within the County with these benefits extending across the State of Maryland. These economic benefits result from MCPS's annual expenditures for new facilities, its outlays for repairs and maintenance, and its spending in support of program and facility operations.…

  17. Instantaneous network RTK in Orange County, California

    Science.gov (United States)

    Bock, Y.

    2003-04-01

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

  18. Cancer incidence study in Mesa County, Colorado

    International Nuclear Information System (INIS)

    In November of 1982 the Colorado Department of Health completed an epidemiologic investigation of leukemia, multiple myeloma, and cancers of the lung, stomach, pancreas and colon in Mesa County, Colorado for the years 1970 to 1979. This investigation was performed in response to a concern that the presence of uranium mill tailings in some Mesa County homes presents a potential cancer hazard. The results of the investigation show that the incidence of multiple myeloma, colon, stomach and pancreatic cancer are not above expected rates. The incidence of leukemia is not above expected rates for the entire study period, 1970 to 1979. The incidence of lung cancer appears elevated when compared to the The Third National Cancer Survey data for Colorado but lower than expected when compared to Surveillance, Epidemiology and End Results data. To further examine the leukemia and lung cancer incidence findings, a case/control study was conducted. The controls consisted of colon, stomach and pancreatic cancer cases. The results of the leukemia case/control analysis show no association with the radiation exposure variables: occupational radiation exposure; uranium mining exposure; having ever lived in a type A home (uranium tailings home); and radiation therapy. The lung cancer case/control analysis shows a significant association with only the radiation exposure variable, uranium mining history, indicating cases were more likely to have been uranium miners than were controls. As with leukemia, the study found no association between lung cancer and living in a uranium mill tailings home. The relatively low radiation exposures typical of type A homes and the small number of persons exposed make it very difficult to establish, by epidemiologic methods, that a risk exists

  19. 77 FR 33063 - Selection and Functions of Farm Service Agency State and County Committees

    Science.gov (United States)

    2012-06-05

    ... practice, but does not change the role of county committees or county committee voting members from current... current regulations. Nominations for county committee are due not less than 90 days before the election... solicitation of nominees. If at least one nomination is filed, the county committee will not take any action...

  20. 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…

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

    International Nuclear Information System (INIS)

    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

  2. Adjustment of Land Use Structure Based on County-wide Economic Development: A Case Study of Changfeng County

    Institute of Scientific and Technical Information of China (English)

    Zeping; HE; Zhongxiang; YU

    2015-01-01

    On the basis of survey of current land use situation in Changfeng County,this paper analyzed land use structure,trend and environment of structural adjustment. Besides,it explored county-wide land use structure mode,namely, " division + indicator + policy". Through reasonable distribution,it is expected to build proper land use structure framework,avoid passive situation of relying on policies simply,and bring into play stability keeping function of land use structure,so as to promote county-wide economic development,and bring into play countywide lever function of rural transition areas.

  3. 75 FR 52780 - Designation of Nine Counties as High Intensity Drug Trafficking Areas

    Science.gov (United States)

    2010-08-27

    ...The Director of the Office of National Drug Control Policy designated nine additional counties as High Drug Trafficking Areas pursuant to 21 U.S.C. 1706. The new counties are (1) Shelby County in Tennessee as part of the Gulf Coast HIDTA, (2) Navajo County in Arizona as part of the Southwest Border HIDTA--Arizona Region, (3) Jefferson County in New York as part of the New York/New Jersey......

  4. Geology of the Quartz Creek Pegmatite District, Gunnison County Colorado

    Science.gov (United States)

    Staatz, Mortimer H.; Trites, A.F.

    1952-01-01

    The Quartz Creek pegmatite district includes an area about 29 square miles in the vicinity of Quartz Creek in Gunnison County,. Colo. This area contains 1,803 pegmatites that are intruded into pre-Cambrian rocks.

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

    Data.gov (United States)

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

  6. 2004 Presidential General Election, County Results - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set portrays election results, by counties for 49 States and by election districts for Alaska, for the 2004 Presidential general election. Reported for...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  13. Cities, Towns and Villages, Published in unknown, Bayfield County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Cities, Towns and Villages dataset as of unknown. Data by this publisher are often provided in Bayfield County Coordinates ft. coordinate system; in a Lambert...

  14. 2014 USGS Lidar: Central Virginia Seismic (Louisa County)

    Data.gov (United States)

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

  15. 1997 County Pesticide Use Estimates for 220 Compounds

    Data.gov (United States)

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

  16. Allegheny County Public Swimming Pool, Hot Tub, and Spa Inspections

    Data.gov (United States)

    Allegheny County / City of Pittsburgh / Western PA Regional Data Center — Public swimming pool, hot tub, and spa facilities are licensed and inspected once each year to assure proper water quality, sanitation, lifeguard coverage and...

  17. 1992 County Pesticide Use Estimates for 200 Compounds

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This dataset includes information for 200 pesticides on the average amount (pounds) applied to 87 agricultural crops and the acres of crops treated for counties...

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

    Data.gov (United States)

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

  19. 2004 FEMA Lidar: Portions of Burlington and Camden Counties (NJ)

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  1. Species Observations (poly) - San Diego County [ds648

    Data.gov (United States)

    California Department of Resources — Created in 2009, the SanBIOS database serves as a single repository of species observations collected by various departments within the County of San Diego's Land...

  2. 2006 FEMA New Jersey Flood Mitigation Lidar: Hunterdon County

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This metadata record describes the lidar topographic elevation mapping of Hunterdon County, NJ that occurred in July 2006. Products generated include lidar point...

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

    Data.gov (United States)

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

  4. Preliminary Biotic Survey of Cane Creek, Calhoun County, AL

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — A biotic survey of Cane Creek (Calhoun County, AL) was completed in the Fall (1992) and Winter (1993) at six sites within Cane Creek to determine the effects of...

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

    Data.gov (United States)

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

  6. 2005 Hancock and Jackson Counties, Mississippi LiDAR

    Data.gov (United States)

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

  7. Preterm and Very Preterm Births by County 2010-2013

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset contains percent preterm and very preterm live births by maternal county of residence. Preterm births are all lives births less than 37 weeks of...

  8. What Did Peel County Do In the Great War?

    Science.gov (United States)

    Morton, Desmond

    1987-01-01

    Describes the strengths and weaknesses of the Canadian War effort during World War I. Specifically focuses on Peel County, Ontario and the particular problems its inhabitants experienced during the war. (BSR)

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  11. Parcels and Land Ownership, Published in 2008, Mecosta County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  13. Parcels and Land Ownership, Published in 2008, Saginaw County Government.

    Data.gov (United States)

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

  14. Annual county atrazine use estimates for agriculture, 1992-2007

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set contains annual county-level estimates of total atrazine use on 16 agricultural crops and four agricultural land uses between 1992 and 2007. For each...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  18. Parcels and Land Ownership, Published in 2008, Rice County Government.

    Data.gov (United States)

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

  19. Allegheny County Department of Public Works Maintenance District Boundaries

    Data.gov (United States)

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

  20. 2008 Presidential General Election, County Results - Direct Download

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This data set portrays election results, by counties for 49 States and by election districts for Alaska, for the 2008 Presidential general election. Reported for...

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

    Data.gov (United States)

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

  2. County and Parish Boundaries, Peach County boundary as part of the GIS basemap at the Peach County Tax Assessor's office., Published in 2006, 1:1200 (1in=100ft) scale, Peach County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Other information as of 2006. It is described as...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  6. Estuarine ecology : A report on Santa Clara County Wetlands

    Data.gov (United States)

    US Fish and Wildlife Service, Department of the Interior — This report on the Santa Clara County wetlands was written just prior to the establishment of the San Francisco Bay National Wildlife Refuge. The report summarizes...

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

    Data.gov (United States)

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

  8. Land Elevation TINs (Triangulated Irregular Networks) for Jefferson County, WI

    Data.gov (United States)

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

  9. Parcels and Land Ownership, Published in 2011, Evans County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  13. Geothermal development plan: Cochise-Santa Cruz counties

    Energy Technology Data Exchange (ETDEWEB)

    White, D.H.

    1981-01-01

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

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

    Data.gov (United States)

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

  15. 76 FR 61379 - Final Recovery Plan, Bexar County Karst Invertebrates

    Science.gov (United States)

    2011-10-04

    ... Bexar County karst invertebrates were listed as endangered species on December 26, 2000 (65 FR 81419... cave clusters that represent the range of the species and potential genetic diversity for the...

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  18. Contours - MO 2012 Greene County NE 1ft Contours (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 1ft contour file for the northeast portion of Greene County, Missouri. This file was created using the USGS corrected elevation data from the 2011 LiDAR flight. It...

  19. Contours - MO 2012 Greene County SE 1ft Contours (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 1ft contour file for the southeast portion of Greene County, Missouri. This file was created using the USGS corrected elevation data from the 2011 LiDAR flight. It...

  20. Contours - MO 2012 Greene County NW 1ft Contours (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 1ft contour file for the northwest portion of Greene County, Missouri. This file was created using the USGS corrected elevation data from the 2011 LiDAR flight. It...

  1. Contours - MO 2012 Greene County SW 1ft Contours (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 1ft contour file for the southwest portion of Greene County, Missouri. This file was created using the USGS corrected elevation data from the 2011 LiDAR flight. It...

  2. Contours - MO 2012 Greene County 5ft Contours (SHP)

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — 5ft cartographic contour file for Greene County, Missouri. This file was created using the elevation data from the 2011 LiDAR flight. It includes indexes for 10,...

  3. 77 FR 46790 - Environmental Impact Statement: Dane County, WI

    Science.gov (United States)

    2012-08-06

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF TRANSPORTATION Federal Highway Administration Environmental Impact Statement: Dane County, WI AGENCY: Federal Highway Administration (FHWA), DOT. ACTION: Notice of Intent to Prepare an Environmental Impact Statement. SUMMARY:...

  4. Cities, Towns and Villages, Published in unknown, Monroe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Cities, Towns and Villages dataset as of unknown. Data by this publisher are often provided in NAD_1983_HARN_WISCRS_Monroe_County_Feet coordinate system; in a...

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

    Data.gov (United States)

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

  6. Parcels and Land Ownership, Published in 2008, Steele County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  9. Parcels and Land Ownership, Published in unknown, Davis County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  13. Asthma Emergency Department Visit Rates by County in 2012

    Data.gov (United States)

    U.S. Department of Health & Human Services — This dataset contains counts and rates (per 10,000 residents) of asthma (ICD9-CM, 493.0-493.9) emergency department visits among California residents by County and...

  14. 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 AIMS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, was produced all or in part from Published Reports/Deeds information as of 2007. It is described as 'This was created and...

  15. Cities, Towns and Villages, County subdivisions, Published in 2006, Freelance.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Cities, Towns and Villages dataset, was produced all or in part from Published Reports/Deeds information as of 2006. It is described as 'County subdivisions'....

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

    Data.gov (United States)

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

  17. Parcels and Land Ownership, Published in 2007, Churchill County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Parcels and Land Ownership dataset as of 2007. The extent of these data is generally Churchill County, NV. This metadata was auto-generated through the Ramona...

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

    Data.gov (United States)

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

  19. Parcels and Land Ownership, Published in 2011, Limstone County Government.

    Data.gov (United States)

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

  20. Parcels and Land Ownership, Published in 2008, Becker County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  3. Parcels and Land Ownership, Published in unknown, Weld County Government.

    Data.gov (United States)

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

  4. Parcels and Land Ownership, Published in unknown, Webster County Government.

    Data.gov (United States)

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

  5. 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.

  6. LiDAR (Terrain), THURSTON COUNTY, WASHINGTON, USA

    Data.gov (United States)

    Federal Emergency Management Agency, Department of Homeland Security — Fugro EarthData Company furnished the collection, processing, and development of LiDAR for 825 square miles in Washington (805 square miles of Thurston County and...

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

    Energy Technology Data Exchange (ETDEWEB)

    Chandler, K.; Walkowicz, K.

    2006-12-01

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

  8. [Ecological civilization and schistosomiasis control in Yujiang County].

    Science.gov (United States)

    Ai, Dong-Yun; Liu, Bu-Yun

    2012-02-01

    This article describes the main approach of ecological civilization construction and great changes and achievements in the original schistosomiasis endemic areas, Yujiang County, Jiangxi Province. Ecological civilization is an important part of schistosomiasis control work. PMID:22590876

  9. Final Report: Feasibility Study of Biomass in Snohomish County, Washington

    Energy Technology Data Exchange (ETDEWEB)

    Daryl Williams (Tulalip Tribes); Ray Clark (Clark Group)

    2005-01-31

    This report and its attachments summarizes the results of a unique tribal-farmer cooperative study to evaluate the feasibility of building one or more regional anaerobic digestion systems in Snohomish County, Washington.

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  13. County and Parish Boundaries, Los Angeles County Boundary from the LA County Assessor's Office, Published in 2006, 1:1200 (1in=100ft) scale, County of Los Angeles.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Published Reports/Deeds information as of 2006....

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  19. Parcels and Land Ownership, Published in 2011, Washington County Government.

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

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

    Data.gov (United States)

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

  4. Anza-Terwilliger hydrogeologic structures in Riverside County, California

    Data.gov (United States)

    U.S. Geological Survey, Department of the Interior — This digital geospatial dataset documents the fault traces in the Anza and Terwilliger area of southwest Riverside County, California, that were modified from Moyle...

  5. Horticulture for Secondary Level Handicapped Adolescents: The Cherokee County Model.

    Science.gov (United States)

    Frith, Greg H.; And Others

    1981-01-01

    The Cherokee County (Alabama) horticulture training program provides 40 mildly mentally retarded adolescents with vocational training in a marketable skills. The broad spectrum of vocational skills makes horticulture ideal for the handicapped. (DB)

  6. Government Districts, Other - COUNTY_GOVERNMENT_BOUNDARIES_IDHS_IN: Governmental Boundaries Maintained by County Agencies in Indiana (Indiana Department of Homeland Security, Polygon Shapefile)

    Data.gov (United States)

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

  7. 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 GIS Inventory (aka Ramona) — COUNTY_STREET_CENTERLINES_IDHS_IN is a line shapefile that contains street centerlines maintained by county agencies in Indiana, provided by personnel of Indiana...

  8. Patrick County, Virginia and the Civil War, 1860-1880

    OpenAIRE

    Becker, Gertrude Harrington

    1990-01-01

    In 1860, Patrick County. like the rest of Virginia and much of the South. wavered uneasily on the brink of secession. In a county where large planters were few, secession was not overwhelmingly popular. Slaveholding families, however, constituted almost one quarter of the white population in Patrick, as they did across the South, and when Virginia seceded. Patrick Countians flocked to serve in the Confederate Army. Although situated in Virginia, Patrick managed to escape physical decimatio...

  9. Population analysis relative to geothermal energy development, Imperial County, California

    Energy Technology Data Exchange (ETDEWEB)

    Pick, J.B.; Jung, T.H.; Butler, E.

    1977-01-01

    The historical and current population characteristics of Imperial County, California, are examined. These include vital rates, urbanization, town sizes, labor force composition, income, utility usage, and ethnic composition. Inferences are drawn on some of the important social and economic processes. Multivariate statistical analysis is used to study present relationships between variables. Population projections for the County were performed under historical, standard, and geothermal projection assumptions. The transferability of methods and results to other geothermal regions anticipating energy development is shown. (MHR)

  10. Biogas Production Potential from Waste in Timis County

    OpenAIRE

    Teodor Vintila; Simina Neo; Cornelia Vintilă

    2012-01-01

    This work is a study of biogas production potential using as substrate the residues generated in the agricultural activities and the organic fraction from municipal wastes collected in Timis County. Data available in regional and national statistics have been reported to Timis County and used to calculate the potential quantity of biogas to be produced by anaerobic fermentation using as fermentable substrate residues generated in various human activities. To estimate the electric and thermal ...

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

    OpenAIRE

    Gavrilescu Liviu; Barbul Claudia

    2010-01-01

    The study proposes assessing the organizational culture of the County Emergency Hospital “Dr. Constantine Opris” of Baia Mare, as a basis for developing a strategic plan to facilitate the successful implementation of organizational goals and objectives. As research instruments were used: OCAI (Organizational Culture Assessment Instrument) and the semi-structured interview. The identified organizational culture of the County Emergency Hospital “Dr. Constantin Opris” has characteristics of a we...

  12. Barriers to health care access for Cache County refugees

    OpenAIRE

    Hoggard, Michael; Gast, Julie

    2016-01-01

    There are over 300 refugees resettled in Cache County, Utah (figure 2). Despite coming from different cultural and ethnic backgrounds, the Cache County refugee population shares similar circumstances in regards to access to health care: (a)96% of working adults are employed at the same job (b)Refugees have access to the same social services (c)None of the refugee populations speak English as a native language. The purpose of this study is to understand key physical, structural and cultu...

  13. Study on Land Use Strategy in Luan County

    Institute of Scientific and Technical Information of China (English)

    2011-01-01

    On the basis of introducing the status quo of land use in Luan County,the existing problems in the process of land use are analyzed as follows.First,the farmland is the majority,the area of garden land and forests is small and the farmland quality degenerates;second,the scale of construction use land is large,but the intensification level is low;third,reserve resources are scanty and the pressure of protecting farmland mounts.This paper discusses the orientation of Luan County in provincial and municipal land use strategy and geographical conditions of Luan County,analyzes the future development status of Luan County,and proposes that we should take guaranteeing land use strategy realization of Hebei Province and Tangshan City as important condition of land use strategy selection of Luan County.It points out that we should implement land use strategy of Luan County from the following aspects:first,strictly protect farmland,especially the basic farmland;second,focus on economic development and adopt intensive and high-efficiency land use pattern;third,pay equal attention to ecological protection and construction,and adopt many means to improve ecological environment.

  14. 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.

  15. Address Points, County Wide Address Points, Published in 2008, 1:2400 (1in=200ft) scale, Hamilton County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Address Points dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Not Provided information as of 2008. It is described as 'County...

  16. Zip Codes, Iredell County Zip Codes, Published in 2009, 1:12000 (1in=1000ft) scale, Iredell County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Zip Codes dataset, published at 1:12000 (1in=1000ft) scale, was produced all or in part from Other information as of 2009. It is described as 'Iredell County...

  17. Neighborhoods, Iredell County Appraisal Neighborhood areas, Published in 2009, 1:2400 (1in=200ft) scale, Iredell County GIS.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This Neighborhoods dataset, published at 1:2400 (1in=200ft) scale, was produced all or in part from Other information as of 2009. It is described as 'Iredell County...

  18. County and Parish Boundaries, Published in 1992, 1:1200 (1in=100ft) scale, Walker County Government.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale as of 1992. Data by this publisher are often provided in State Plane coordinate...

  19. County and Parish Boundaries, Published in 2006, 1:1200 (1in=100ft) scale, Washoe County.

    Data.gov (United States)

    NSGIC GIS Inventory (aka Ramona) — This County and Parish Boundaries dataset, published at 1:1200 (1in=100ft) scale, was produced all or in part from Published Reports/Deeds information as of 2006....

  20. County and Parish Boundaries, Published in 2010, 1:2400 (1in=200ft) scale, Sauk County.

    Data.gov (United States)

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