Technical Notes
Jan 30, 2018

Investigating Effectiveness of Sensor Placement Strategies in Contamination Detection within Water Distribution Systems

Publication: Journal of Water Resources Planning and Management
Volume 144, Issue 4

Abstract

Water quality sensors placed in water distribution systems (WDSs) are critical for detecting accidental or intentional contamination intrusion. This motivates research to optimally place a limited number of sensors for a given WDS aimed to maximize the detection effectiveness (e.g., the detection likelihood and time to detection). Typically, effectiveness of a sensor placement strategy (SPS) is assessed using the expected impact across a number of contamination scenarios. Despite the value of such an approach, it may provide limited information on the SPS’s comprehensive properties in detection, such as the SPS’s ability to detect events with different levels of consequences, or to reduce the impacts from undetectable events. To address this limitation, this study investigates the underlying characteristics of the SPS’s effectiveness for contamination detection using a set of metrics focusing on detection time, consumption of contaminated water, the number of contaminated demand nodes, and the contaminated spatial distance. The former two are derived from detectable contamination scenarios and the latter two are computed from both detectable and undetectable contamination scenarios. The proposed method is illustrated for two real-world WDSs, and the results reveal the underlying properties of the SPS’s utility in contamination detection, which is significantly more informative than the measure of expected impacts. Such improved understanding provides guidance for selecting the most appropriate SPS and for improving preparedness for contamination events.

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Acknowledgments

This work is supported by the Fundamental Research Funds for the Central Universities (No. 2017FZA4021).

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Go to Journal of Water Resources Planning and Management
Journal of Water Resources Planning and Management
Volume 144Issue 4April 2018

History

Received: Sep 12, 2016
Accepted: Oct 9, 2017
Published online: Jan 30, 2018
Published in print: Apr 1, 2018
Discussion open until: Jun 30, 2018

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Authors

Affiliations

Feifei Zheng [email protected]
Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China. E-mail: [email protected]
Ph.D. Student, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China. E-mail: [email protected]
Kegong Diao [email protected]
Lecturer, Faculty of Technology, De Montfort Univ., Mill Lane, Leicester LE2 7DR, U.K. E-mail: [email protected]
Tuqiao Zhang [email protected]
Professor, College of Civil Engineering and Architecture, Zhejiang Univ., Hangzhou 310058, China. E-mail: [email protected]
Tingchao Yu [email protected]
Associate Professor, College of Civil Engineering and Architecture, Zhejiang Univ., A503, Anzhong Bldg., Zijingang Campus, 866 Yuhangtang Rd., Hangzhou 310058, China (corresponding author). E-mail: [email protected]
Associate Professor, College of Civil Engineering and Architecture, Zhejiang Univ., China. E-mail: [email protected]

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