Abstract
A remedial action design system is described that may be used to evaluate candidate remediation systems and select the preferred alternative under conditions of uncertainty. The remedial action design method is based on the ability to evaluate system alternatives within the framework of a multiple-objective decision making scheme. The methodology considers uncertainty in system performance as an element of the decision making process by using geostatistical conditional simulation to generate model input. A two-dimensional computer modeling of candidate remediation schemes is used to model the transport of contaminants, and predict the performance of each candidate system.
Composite programming is used for the multiple-objective decision making portion of the design system. Measures of system performance include average mass of contamination pumped and treated, average mass remaining in the aquifer after terminating operations, and average mass exiting the study area via boundaries. Uncertainty in system performance, or the risk of a system not performing according to predicted standards, is measured by computing the variance and coefficient of variation for each of the previous indexes. In addition, the operation horizon and modeled contamination levels at a hypothetical compliance surface serve as additional performance measures. Total costs for each option were estimated and incorporated into the remediation planning.
A case study is examined in which a preferred remedial action plan is identified from a set of alternatives for removing a plume of contaminated ground water emanating from an uncontrolled hazardous waste site near a radioactive waste reprocessing facility.
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© 1991 Springer-Verlag Berlin Heidelberg
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Woldt, W., Bogardi, I., Duckstein, L. (1991). Consideration of Reliability in System Design for Ground Water Remediation. In: Ganoulis, J. (eds) Water Resources Engineering Risk Assessment. NATO ASI Series, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76971-9_15
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DOI: https://doi.org/10.1007/978-3-642-76971-9_15
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