Multi-Stage Burst Localization Based on Spatio-Temporal Information Analysis for District Metered Areas in Water Distribution Networks

Author:

Zhang Xiangqiu1,Fang Yongjun2ORCID,Zhou Xinhong34,Shao Yu34ORCID,Yu Tingchao34ORCID

Affiliation:

1. School of Environment Science and Engineering, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China

2. School of Geomatics, Zhejiang University of Water Resources and Electric Power, Hangzhou 310018, China

3. Zhejiang Key Laboratory of Drinking Water Safety and Distribution Technology, Zhejiang University, Hangzhou 310058, China

4. Institute of Municipal Engineering, College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

Abstract

Burst events in Water Distribution Networks (WDNs) pose a significant threat to the safety of water supply, leading people to focus on efficient methods for burst localization and prompt repair. This paper proposes a multi-stage burst localization method, which includes preliminary region determination and precise localization analysis. Based on the hydraulic model and spatio-temporal information, the effective sensor sequences and monitoring areas of the nodes are determined. In the first stage, the preliminary burst region is determined based on the monitoring region of sensors and the alarm sensors. In the second stage, localization metrics are used to analyze the dissimilarity degree between burst data from the hydraulic model and the monitoring data from the effective sensors at each node. This analysis helps identify candidate burst nodes and determine their localization priorities. The localization model is tested on the C-Town network to obtain comparative results. The method effectively reduces the burst region, minimizes the search region, and significantly improves the efficiency of burst localization. For precise localization, it accurately localizes the burst event by prioritizing the possibilities of the burst location.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Zhejiang Provincial Natural Science Foundation of China

Publisher

MDPI AG

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