A stepwise fast leakage localization method applying the strategy of dynamic area narrowing down for large-scale water distribution network

Author:

Li Zhirong12,Han Deke3,Pu Zhengheng12,Wang Jiaying12,Yan Hexiang12,Tao Tao12,Xin Kunlun12ORCID

Affiliation:

1. a College of Environmental Science and Engineering, Tongji University, 200092 Shanghai, China

2. b Smart Water Joint Innovation R&D Center, Tongji University, 200092 Shanghai, China

3. c Qingdao Haide Engineering Group, 266061 Qingdao, China

Abstract

ABSTRACT Urban water distribution networks (WDNs) are facing serious leakage problems. As cities expand, the leakage localization burden on large WDNs gradually increases. Although methods have been widely researched, there is a lack of studies and successful applications for large-scale WDNs. To deal with this, a stepwise fast leakage localization Method, SFLLM, utilizing the `dynamic area narrowing down (DAND)' strategy and coupled leakage features (CLF) is proposed. The SFLLM includes a fast-and-dynamic stage using the DAND strategy to reduce the potential leakage area and an accurate localization stage. Only partial representative candidate locations are required to simulate leakages by DAND, and meantime CLF is used to analyze the leakage similarities so that the localization accuracy and efficiency can be improved. SFLLM was tested on a benchmark WDN, saving more than 88% of simulation by DAND strategy and achieving localization in 11 seconds. The results also proved the enhanced performance of CLF in ensuring the stability of the accuracy against various types of uncertainties that may occur in real WDNs. Moreover, three real burst leaks in an actual large-scale WDN were localized within 205 m in about 22 minutes by SFLLM, showing the method's reliable applicability in guiding field leak exploration.

Funder

National Natural Science Foundation of China

the Shanghai Science and Technology Innovation Action Plan

Publisher

IWA Publishing

Reference38 articles.

1. Robust data-driven leak localization in water distribution networks using pressure measurements and topological information;Sensors,2021

2. Data-driven leak localization in WDN using pressure sensor and hydraulic information,2022

3. A leak zone location approach in water distribution networks combining data-driven and model-based methods;Water,2021

4. Development of a new comprehensive framework for the evaluation of leak management components and practices;AQUA – Water Infrastructure, Ecosystems and Society,2022

5. Short-term water demand forecast based on automatic feature extraction by one-dimensional convolution;Journal of Hydrology,2022

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