TECHNICAL NOTES
Oct 1, 2008

Nodal Failure Index Approach to Groundwater Remediation Design

Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 134, Issue 10

Abstract

Computer simulations often are used to design and to optimize groundwater remediation systems. We present a new computationally efficient approach that calculates the reliability of remedial design at every location in a model domain with a single simulation. The estimated reliability and other model information are used to select a best remedial option for given site conditions, conceptual model, and available data. To evaluate design performance, we introduce the nodal failure index (NFI) to determine the number of nodal locations at which the probability of success is below the design requirement. The strength of the NFI approach is that selected areas of interest can be specified for analysis and the best remedial design determined for this target region. An example application of the NFI approach using a hypothetical model shows how the spatial distribution of reliability can be used for a decision support system in groundwater remediation design.

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Acknowledgments

This work was funded by Grant No. UNSPECIFIEDR-827126-01-0 from the U.S. Environmental Protection Agency (EPA) through the Science to Achieve Results (STAR) program. The work has not been subjected to either EPA or USGS review and does not necessarily reflect the views of the EPA and U.S. Geological Survey. The writers wish to thank Prof. T. Igusa of the Department of Civil Engineering at Johns Hopkins University and Prof. A. J. Graettinger of the Department of Civil and Environmental Engineering at the University of Alabama. Their advice and discussions have been very helpful.

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Go to Journal of Geotechnical and Geoenvironmental Engineering
Journal of Geotechnical and Geoenvironmental Engineering
Volume 134Issue 10October 2008
Pages: 1554 - 1557

History

Received: Apr 12, 2007
Accepted: Dec 19, 2007
Published online: Oct 1, 2008
Published in print: Oct 2008

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Authors

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Assistant Professor, Dept. of Geosciences, Univ. of Missouri—Kansas City, Kansas City, MO 64110 (corresponding author). E-mail: [email protected]
Howard W. Reeves [email protected]
Research Hydrologist, U.S. Geological Survey, USGS Michigan Water Science Center, 6520 Mercantile Way, Ste. 5, Lansing, MI 48911. E-mail: [email protected]
Charles H. Dowding, M.ASCE [email protected]
Professor, Dept. of Civil and Environmental Engineering, Northwestern Univ., Evanston, IL 60208. E-mail: [email protected]

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