Successive Linear Approximation Methods for Leak Detection in Water Distribution Systems
Publication: Journal of Water Resources Planning and Management
Volume 143, Issue 8
Abstract
In many modern water networks, an emerging trend is to measure pressure at various points in the network for operational reasons. Because leaks typically induce a signature on pressure, these routine measurements can be used to develop nonintrusive leak detection approaches. This research employs successive linear approximation methods, based on linear programming and mixed integer linear programming, in a simulation-optimization framework to explore an alternative leak detection methodology for urban water distribution networks based on pressure measurements. The methods attempt to minimize the absolute differences between observed and simulated pressure values at the sensors to determine a linear combination of leaks that most closely approximates the observed pressure pattern. Steady-state and time-varying models of differing complexity (from small published networks to a 27,000-node network for a U.S. utility) were used to test the method. Results are presented to illustrate the method’s effectiveness under different conditions. The methods are shown to work well when pervasive pressure data and hydraulic models representing true operational conditions are available. The methods developed in this work are not intended to replace traditional leak detection methods; rather, they are meant to work in concert with available methods to more accurately and efficiently isolate leak locations and reduce water loss.
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Acknowledgments
This research was supported in part by the Department of Civil, Construction, and Environmental Engineering at North Carolina State University and by the National Science Foundation under Grant No. 1100458. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of North Carolina State University or the National Science Foundation.
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Published In
Journal of Water Resources Planning and Management
Volume 143 • Issue 8 • August 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jun 1, 2016
Accepted: Jan 30, 2017
Published online: Jun 5, 2017
Published in print: Aug 1, 2017
Discussion open until: Nov 5, 2017
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