Record Display for the EPA National Library Catalog


OLS Field Name OLS Field Data
Main Title GIS Analysis to Assess where Shallow Ground Water Supplies in the United States are Vulnerable to Contamination by Releases of Motor Fuel from Underground Storage Tanks.
Author R. Earle ; J. T. Wilson ; F. Kremer ; J. Weaver ; D. Burden
CORP Author National Risk Management Research Lab., Ada, OK.
Year Published 2011
Report Number EPA/600/R-11-108
Stock Number PB2012-109453
Additional Subjects Geographic Information Systems (GIS) ; Ground water ; Motor fuels ; Water pollution monitoring ; Water resources ; Gasoline ; Vunerability assessments ; Households ; Contamination ; United States ; Probability analysis ; Underground storage tanks ; Retail gasoline service stations ; Census block groups ; Shallow water sources
Library Call Number Additional Info Location Last
NTIS  PB2012-109453 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. 10/24/2012
Collation 186p
Geographic Information Systems (GIS) were used to assess the vulnerability of ground water supplies to contamination. The analysis was conducted for the 48 contiguous United States, and then again for groups of states corresponding to the EPA Regions. The long form of the 1990 census asked the respondents where they got the water for their home. The choices were: (1) a public system such as a city water department or private company; (2) an individual drilled well; (3) an individual dug well; or (4) some other source such as a spring, creek, river, cistern, etc. The reported estimates for the numbers of drilled wells, dug wells, and other supplies of water were summed to obtain an estimate of the number of households in each census block group that obtained water from a private source. The 1990 census also reported the surface area (square miles) of each census block group. A data file was purchased from ESRI Business Solutions that contained the latitude and longitude of active retail gasoline service stations in the United States. Using Geographical Information System tools (GIS tools) and geo-referenced GIS coverage files on each census block group, the latitude and longitude of each active service station was used to assign the service station to a census block group. Then the number of service stations in each census block group was summed. A simple probability analysis was performed based on the distribution of service stations and the distribution of the households that obtained water from a private supply. Three separate indices were calculated. Each index was calculated for those census block groups that had at least one service station and at least one household that obtained water from a private source.