Consequence Management Optimization for Contaminant Detection and Isolation
Publication: Journal of Water Resources Planning and Management
Volume 132, Issue 4
Abstract
Vulnerability assessments may be used to help identify components of water distribution systems that require strengthening against possible attacks, including physical destruction and/or chemical contamination. Numerous recent research efforts have focused on the placement of sensor systems to aid vulnerability assessments associated with contamination events. A related issue is the probability of isolating a contaminant following sensor detection. In this current effort, we utilize three optimization techniques: (1) an unconstrained first-order reliability method (FORM); (2) a constrained FORM; and (3) parameter estimation (PEST), to determine the optimal demand to reduce contaminant concentration. This aids in consequence management of contamination events by supplying water distribution system operators with additional information to remediate contaminated sections. Application of these techniques to a relatively simple network and a moderately complex network demonstrates the usefulness of optimization methods in determining optimal demands in order to reduce contaminant concentration. Although each of the techniques performed well for this example, PEST illustrated greater capabilities in determining the most optimal solution.
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Acknowledgement
This material is based upon work supported in part by the National Science Foundation, Grant No. NSF0114329. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the writers and do not necessarily reflect the views of the National Science Foundation.
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Information & Authors
Information
Published In
Journal of Water Resources Planning and Management
Volume 132 • Issue 4 • July 2006
Pages: 274 - 282
Copyright
© 2006 ASCE.
History
Received: Aug 24, 2005
Accepted: Dec 30, 2005
Published online: Jul 1, 2006
Published in print: Jul 2006
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