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OLS Field Name OLS Field Data
Main Title Benchmarking Analysis for Five Radionuclide Vadose Zone Models (Chain, Multimed-DP, Fectuz, Hydrus, and Chain 2D) in Soil Screening Level Calculations.
Author Chen, J. S. ; Drake, R. ; Lin, Z. ; Jewett, D. G. ;
CORP Author National Risk Management Research Lab., Ada, OK. ;ManTech Environmental Research Services Corp., Ada, OK. ;Dynamac Corp., Ada, OK.
Publisher Feb 2002
Year Published 2002
Stock Number PB2003-102101
Additional Subjects Radionuclides ; Radioactive waste disposal ; Radionuclide migration ; Models ; Calculations ; New Mexico ; Concentrations ; Soil properties ; Chemical properties ; Sensitivities ; Vadose zones ; Soil screening ; Benchmarking analysis ; Las Cruces Trench Site
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NTIS  PB2003-102101 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 07/23/2003
Collation 22p
Abstract
Five radionuclide vadose zone models with different degrees of complexity (CHAIN, MULTIMED(underline)DP, FECTUZ, HYDRUS, and CHAIN2D) were selected for use in soil screening level (SSL) calculations. A benchmarking analysis between the models was conducted for a radionuclide ((sup 99)TC) release scenario at the Las Cruces Trench Site in New Mexico. Sensitivity of three model outputs to the input parameters were evaluation and compared among the models. The three outputs were peak contaminant concentrations, time to peak concentrations at the water table, as well as those of time to exceed the contaminant's maximum critical level at a representative receptor well. Model parameters investigated include soil properties such as bulk density, water content, soil water retention parameters and hydraulic conductivity. Chemical properties examined include distribution coefficient, radionuclide half-life, dispersion coefficient, and molecular diffusion. Other soil characteristics such as recharge rate, was also examined. Model sensitivity was quantified in the form of sensitivity and relative sensitivity coefficients. Relative sensitivities were used to compare the sensitivities of different parameters.