An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model

Yu, Jie; Zhang, Li; Chen, Jinyu; Xiao, Yao; Hou, Dibo; Huang, Pingjie; Zhang, Guangxin; Zhang, Hongjian

doi:10.3390/w13060867

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An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model

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State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

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Academic Editors: Gabriele Freni and Mariacrocetta Sambito

Water 2021, 13(6), 867; https://doi.org/10.3390/w13060867

Received: 23 February 2021 / Revised: 15 March 2021 / Accepted: 17 March 2021 / Published: 23 March 2021

(This article belongs to the Special Issue Urban Water Networks Modelling and Monitoring)

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Abstract

Loss of water due to leakage is a common phenomenon observed practically in all water distribution networks (WDNs). However, the leakage volume can be reduced significantly if the occurrence of leakage is detected within minimal time after its occurrence. Based on the discriminative behavior of different consumption in water balance, an integrated bottom-up water balance model is presented for leak detection in WDNs. The adaptive moment estimation (Adam) algorithm is employed to assess the parameters in the model. By analyzing the current value and the rising rate of the assessed parameters, abnormal events (e.g., leak, illegal use, or metering inaccuracy) could be detected. Furthermore, a one-step-slower strategy is proposed to estimate the weighted coefficient of pressure sensors to provide approximate location information of leak. The method was applied in a benchmark WDN and an experimental WDN to evaluate its performance. The results showed that relatively small leak could be detected in near-real-time. In addition, the method was able to identify the pressure sensors near to the leak. View Full-Text

Keywords: bottom-up; leak detection; leakage location; parameter assessment; water balance

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MDPI and ACS Style

Yu, J.; Zhang, L.; Chen, J.; Xiao, Y.; Hou, D.; Huang, P.; Zhang, G.; Zhang, H. An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model. Water 2021, 13, 867. https://doi.org/10.3390/w13060867

AMA Style

Yu J, Zhang L, Chen J, Xiao Y, Hou D, Huang P, Zhang G, Zhang H. An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model. Water. 2021; 13(6):867. https://doi.org/10.3390/w13060867

Chicago/Turabian Style

Yu, Jie, Li Zhang, Jinyu Chen, Yao Xiao, Dibo Hou, Pingjie Huang, Guangxin Zhang, and Hongjian Zhang. 2021. "An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model" Water 13, no. 6: 867. https://doi.org/10.3390/w13060867

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An Integrated Bottom-Up Approach for Leak Detection in Water Distribution Networks Based on Assessing Parameters of Water Balance Model

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