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RECORD NUMBER: 5 OF 10

Main Title Hydrocarbon spill exposure assessment modeling / c James W. Weaver, Randall J. Charbeneau.
Author Weaver, James W. ; Charbeneau, R. J.
Other Authors
Author Title of a Work
Charbeneau, Randall J.
CORP Author Robert S. Kerr Environmental Research Lab., Ada, OK. ;Texas Univ. at Austin. Center for Research in Water Resources.
Publisher U.S. Environmental Protection Agency, Office of Research and Development,
Year Published 1990
Report Number EPA/600/D-91/002
Stock Number PB91-162669
OCLC Number 35719485
Subjects Hydrocarbons--Research ; Chemical spills--Computer simulation
Additional Subjects Potable water ; Oil spills ; Chemical spills ; Hydrocarbons ; Water pollution ; Mathematical models ; Water supply ; Exposure ; Environmental transport ; Ground water ; Environmental impact assessments ; Water table ; Aquifers ; Vadose water ; Subsurface investigations ; Reprints
Internet Access
Description Access URL
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=9100NK17.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
EMBD  EPA/600/D-91/002 NRMRL/GWERD Library/Ada,OK 10/11/1996
NTIS  PB91-162669 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation p. 233-47 : ill. ; 28 cm.
Abstract
Hydrocarbon spills impact drinking water supplies at down gradient locations. Conventional finite difference and finite element models of multiphase, multicomponent flow have extreme requirements for both computer time and site data. Site data and the intent of the modeling often do not warrant the application of such models. An alternative approach is proposed which is based on semi-analytic models for vertical product infiltration, radial spreading on the water table, and transport of aqueous phase contaminants in the aquifer. Three individual models for these processes are linked to estimate exposure at a down gradient well. A time record of concentration can be determined for any desired location in the aquifer. The presentation outlines the methodology and examines parameter sensitivity within the combined vadose zone, oil lens, and aquifer transport models.
Notes
Bibliography: p. 246-47.