Forecasting the number of soil samples required to reduce remediation cost uncertainty

Journal of Environmental Quality
Helene Demougeot-RenardPhilippe Renard

Abstract

Sampling scheme design is an important step in the management of polluted sites. It largely controls the accuracy of remediation cost estimates. In practice, however, sampling is seldom designed to comply with a given level of remediation cost uncertainty. In this paper, we present a new technique that allows one to estimate of the number of samples that should be taken at a given stage of investigation to reach a forecasted level of accuracy. The uncertainty is expressed both in terms of volume of polluted soil and overall cost of remediation. This technique provides a flexible tool for decision makers to define the amount of investigation worth conducting from an environmental and financial perspective. The technique is based on nonlinear geostatistics (conditional simulations) to estimate the volume of soil that requires remediation and excavation and on a function allowing estimation of the total cost of remediation (including investigations). The geostatistical estimation accounts for support effect, information effect, and sampling errors. The cost calculation includes mainly investigation, excavation, remediation, and transportation. The application of the technique on a former smelting work site (lead pollution) demonst...Continue Reading

References

May 31, 2003·Environmental Science & Technology·Hirotaka Saito, Pierre Goovaerts
Jan 1, 1996·Environmental Pollution·B von SteigerR Lehmann
Dec 1, 1984·Environmental Monitoring and Assessment·G T Flatman, A A Yfantis

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Citations

Jan 15, 2016·The Science of the Total Environment·Xiaoming WanTongbin Chen
Dec 11, 2007·Environmental Pollution·S Verstraete, M Van Meirvenne
Sep 1, 2007·Ground Water·Philippe Renard
Nov 8, 2007·Ambio·Pär-Erik BackTommy Norberg

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