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Jul 1, 2008

Identifying Sets of Key Nodes for Placing Sensors in Dynamic Water Distribution Networks

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Publication: Journal of Water Resources Planning and Management
Volume 134, Issue 4

Abstract

The design of a sensor-placement scheme capable of detecting all possible contamination events for a water distribution system before consumers are put at risk is essentially impossible given current technologies and budgets. It is, however, possible to design sensor-placement schemes that optimize related objectives (e.g., minimize expected volume of contaminated water consumed prior to detection), but this requires the availability of hydraulic and water quality models for the distribution network and significant computational power, which are the main obstacles to the identification of optimal sensor locations. This paper describes a different approach that reduces the problem’s complexity by expressing a water distribution system as different graphs based on the information readily available from most, if not all, water utilities. The approach provides critical policy and decision support for utilities when hydraulic and water quality models are not available and/or when simulation-based techniques are computationally infeasible.

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Acknowledgments

This work was funded by the National Science Foundation under Grant No. NSFBES-0329549. The writers wish to thank Kathleen Carley and her group at Carnegie Mellon University for all their help in doing the network analysis, Andreas Krause for providing the WaterSim software package for evaluating sensor placement performance, and the BWSN organizers for providing the network.

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Information & Authors

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Published In

Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 134Issue 4July 2008
Pages: 378 - 385

History

Received: Dec 21, 2006
Accepted: Oct 18, 2007
Published online: Jul 1, 2008
Published in print: Jul 2008

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Authors

Affiliations

Jianhua Xu, M.ASCE
Graduate Research Assistant, Dept. of Engineering and Public Policy, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: [email protected]
Paul S. Fischbeck
Professor, Dept. of Social and Decision Sciences, and Engineering and Public Policy, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: [email protected]
Mitchell J. Small, M.ASCE
Professor, Dept. of Civil and Environmental Engineering, and Engineering and Public Policy, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: [email protected]
Jeanne M. VanBriesen, M.ASCE
Associate Professor, Dept. of Civil and Environmental Engineering, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: [email protected]
Elizabeth Casman
Associate Research Professor, Dept. of Engineering and Public Policy, Carnegie Mellon Univ., 5000 Forbes Ave., Pittsburgh, PA 15213. E-mail: [email protected]

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