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Article

Water Leak Localization Using High-Resolution Pressure Sensors

Faculty of Civil and Environmental Engineering, Technion—Israel Institute of Technology, Haifa 32000, Israel
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Author to whom correspondence should be addressed.
Academic Editor: Francesco De Paola
Water 2021, 13(5), 591; https://doi.org/10.3390/w13050591
Received: 22 January 2021 / Revised: 19 February 2021 / Accepted: 19 February 2021 / Published: 25 February 2021
(This article belongs to the Section Hydraulics and Hydrodynamics)
A new method for identifying a leaking pipe within a pressurized water distribution system is presented. This novel approach utilizes transient modeling to analyze water networks. Urban water supply networks are important infrastructure that ensures the daily water consumption of urban residents and industrial sites. The aging and deterioration of drinking water mains is the cause of frequent burst pipes, thus making the detection and localization of these bursts a top priority for water distribution companies. Here we describe a novel method based on transient modeling of the water network and produces high-resolution pressure response under various scenarios. Analyzing this data allows the prediction of the leaking pipe. The transient pressure data is classified as leaking pipes or no leak clusters using the K-nearest neighbors (K-NN) algorithm. The transient model requires a massive computation effort to simulate the network’s performance. The classification model presented good performance with an overall accuracy of 0.9 for the basic scenarios. The lowest accuracy was obtained for interpolated scenarios the model had not been trained on; in this case, the accuracy was 0.52. View Full-Text
Keywords: water distribution systems; leak detection; transient model; TSnet; machine learning; K-NN; water network. water distribution systems; leak detection; transient model; TSnet; machine learning; K-NN; water network.
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MDPI and ACS Style

Levinas, D.; Perelman, G.; Ostfeld, A. Water Leak Localization Using High-Resolution Pressure Sensors. Water 2021, 13, 591. https://doi.org/10.3390/w13050591

AMA Style

Levinas D, Perelman G, Ostfeld A. Water Leak Localization Using High-Resolution Pressure Sensors. Water. 2021; 13(5):591. https://doi.org/10.3390/w13050591

Chicago/Turabian Style

Levinas, Daniel, Gal Perelman, and Avi Ostfeld. 2021. "Water Leak Localization Using High-Resolution Pressure Sensors" Water 13, no. 5: 591. https://doi.org/10.3390/w13050591

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