Chapter
Apr 26, 2012

Using Uncertainty Analysis to Reconstruct Historical Tetrachloroethylene (PCE) Exposure for an Epidemiological Study

Publication: World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat

Abstract

Health scientists and epidemiologists rely on groundwater flow and fate and transport models for reconstructing historical exposures to contaminants such as tetrachloroethylene (PCE) when conducting environmental health studies. Of concern to epidemiologists is the reliability of historical estimates of the spatial and temporal distribution of contaminants used in determining exposures. Thus, evaluation of uncertainty and variability of hydraulic and transport parameters should be assessed as part of the overall exposure assessment process. In a health study of historical exposure to PCE-contaminated drinking water at U.S. Marine Corps Base Camp Lejeune, North Carolina, (1) uncertainty analyses were conducted; (2) probability density functions were generated for hydraulic and transport parameters using Monte Carlo and Gaussian sequential simulation; and (3) the related probabilistic analyses were incorporated into the MODFLOW and MT3DMS simulation codes.

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Go to World Environmental and Water Resources Congress 2007
World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat
Pages: 1 - 9

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Published online: Apr 26, 2012

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R. J. Suárez-Soto [email protected]
Environmental Health Scientist; Agency for Toxic Substances and Disease Registry; Atlanta, Georgia 30333. E-mail: [email protected]
M. L. Maslia [email protected]
Research Environmental Engineer, Agency for Toxic Substances and Disease Registry; Atlanta, Georgia 30333. E-mail: [email protected]
Hydrologist, R. E. Faye and Associates; Dahlonega, Georgia 30533. E-mail: [email protected]
Graduate student, Multimedia Environmental Simulations Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology; Atlanta, Georgia 30332. E-mail: [email protected]
Director, Multimedia Environmental Simulations Laboratory, School of Civil and Environmental Engineering, Georgia Institute of Technology; Atlanta, Georgia 30332. E-mail: [email protected]

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