Systematically selecting an alternative to remediate soil contaminating groundwater |
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| Authors: | Andrew Curtis Elmore |
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| Affiliation: | Andrew Curtis Elmore, Ph.D., P.E., is a project engineer and a project manager at Woodward-Clyde Federal Services in Overland Park, Kansas. He has more than eight years of experience characterizing soil gas, soil, and groundwater contamination at CERCLA and RCRA hazardous waste sites. In addition to characterizing contamination, his areas of expertise include stochastically analyzing groundwater cleanup and evaluating the remediation of unsaturated soils to prevent saturated zone contamination. |
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| Abstract: | Contaminated soil is a continuing source of ground water contamination at some hazardous waste sites. Even if that soil does not pose a threat to human health or the environment, soil remediation may benefit ground-water cleanup in terms of time, money, or protectiveness. A method has been developed to provide a systematic manner to select a soil cleanup alternative. Using commercially available Windows-based software, the method consists of the development of a decision tree whose chance nodes are the restoration time frame probability distributions. Uncertainty associated with site data is quantitatively evaluated using Monte Carlo analysis to develop the probability distributions. The decision tree selects the alternative with the lowest cost. Data from an actual remedial investigation/feasibility study demonstrate the ease and practicality of the selection method. |
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