Record Display for the EPA National Library Catalog

RECORD NUMBER: 34 OF 107

OLS Field Name OLS Field Data
Main Title Exposure Assessment Modeling for Hydrocarbon Spills into the Subsurface: Sensitivity to Soil Properties.
Author Weaver, J. W. ; Lien, B. K. ; Charbeneau, R. J. ;
CORP Author Robert S. Kerr Environmental Research Lab., Ada, OK. ;Oklahoma Univ., Norman. ;Texas Univ. at Austin. Center for Research in Water Resources.
Publisher c1992
Year Published 1992
Report Number EPA/600/A-92/119;
Stock Number PB92-191147
Additional Subjects Hydrocarbons ; Environmental transport ; Land pollution ; Soil properties ; Hazardous materials spills ; Computerized simulation ; Subsurface investigations ; Exposure ; Water pollution ; Remedial action ; Underground storage ; Storage tanks ; Ground water ; Leakage ; Oil pollution ; Chemical spills ; Emergency planning ; Reprints ; Hydrocarbon Spill Simulation Model
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB92-191147 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 08/22/1992
Collation 19p
Abstract
Hydrocarbons which enter the subsurface through spills or leaks may create serious, long-lived ground-water contamination problems. Simplified models of the separate phase flow of the hydrocarbon and its dissolution into ground water may be appropriate for gaining insight into the significant phenomena, emergency response, or generic simulation for regulatory development. The paper outlines the components of a set of screening models for this problem and focuses on parameter sensitivity. Tabulated values of soil properties are used to model releases in typical soil materials. The availability of standard deviations of parameter values allows assessment of model response with regard to typical parameter variability. This knowledge has important consequences for emergency response applications which tend to rely on tabulated data instead of site specific data. Ultimate interest usually lies with dissolved aqueous concentrations, so the parameter sensitivity is assessed through concentrations predicted for down-gradient wells, as well as other significant aspects of the model results.