Review of model-based and data-driven approaches for leak detection and location in water distribution systems

Leak detection and location in water distribution systems (WDSs) is of utmost importance for reducing water loss, which is, however, a major challenge for water utility companies. To this end, researchers have proposed a multitude of methods to detect such leaks in WDSs. Model-based and data-driven...

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Autores principales:	Zukang Hu, Beiqing Chen, Wenlong Chen, Debao Tan, Dingtao Shen
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	data-driven approaches leak detection and location model-based approaches water distribution systems Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/fbfdd73790134374b4b92e394357946c
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spelling	oai:doaj.org-article:fbfdd73790134374b4b92e394357946c2021-11-23T18:55:25ZReview of model-based and data-driven approaches for leak detection and location in water distribution systems1606-97491607-079810.2166/ws.2021.101https://doaj.org/article/fbfdd73790134374b4b92e394357946c2021-11-01T00:00:00Zhttp://ws.iwaponline.com/content/21/7/3282https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Leak detection and location in water distribution systems (WDSs) is of utmost importance for reducing water loss, which is, however, a major challenge for water utility companies. To this end, researchers have proposed a multitude of methods to detect such leaks in WDSs. Model-based and data-driven approaches, in particular, have found widespread uses in this area. In this paper, we reviewed both these approaches and classified the techniques used by them according to their leak detection methods. It is seen that model-based approaches require highly calibrated hydraulic models, and their accuracies are sensitive to modeling and measurement uncertainties. On the contrary, data-driven approaches do not require an in-depth understanding of the WDS. However, they tend to result in high false positive rates. Furthermore, neither of these approaches can handle anomalous variations caused by unexpected water demands. HIGHLIGHTS A comprehensive review of model-based and data-driven approaches for leak detection.; Generic framework of each technique is summarized and compared.; Future directions for improving the performance of leak detection is presented.;Zukang HuBeiqing ChenWenlong ChenDebao TanDingtao ShenIWA Publishingarticledata-driven approachesleak detection and locationmodel-based approacheswater distribution systemsWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 7, Pp 3282-3306 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data-driven approaches leak detection and location model-based approaches water distribution systems Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	data-driven approaches leak detection and location model-based approaches water distribution systems Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Zukang Hu Beiqing Chen Wenlong Chen Debao Tan Dingtao Shen Review of model-based and data-driven approaches for leak detection and location in water distribution systems
description	Leak detection and location in water distribution systems (WDSs) is of utmost importance for reducing water loss, which is, however, a major challenge for water utility companies. To this end, researchers have proposed a multitude of methods to detect such leaks in WDSs. Model-based and data-driven approaches, in particular, have found widespread uses in this area. In this paper, we reviewed both these approaches and classified the techniques used by them according to their leak detection methods. It is seen that model-based approaches require highly calibrated hydraulic models, and their accuracies are sensitive to modeling and measurement uncertainties. On the contrary, data-driven approaches do not require an in-depth understanding of the WDS. However, they tend to result in high false positive rates. Furthermore, neither of these approaches can handle anomalous variations caused by unexpected water demands. HIGHLIGHTS A comprehensive review of model-based and data-driven approaches for leak detection.; Generic framework of each technique is summarized and compared.; Future directions for improving the performance of leak detection is presented.;
format	article
author	Zukang Hu Beiqing Chen Wenlong Chen Debao Tan Dingtao Shen
author_facet	Zukang Hu Beiqing Chen Wenlong Chen Debao Tan Dingtao Shen
author_sort	Zukang Hu
title	Review of model-based and data-driven approaches for leak detection and location in water distribution systems
title_short	Review of model-based and data-driven approaches for leak detection and location in water distribution systems
title_full	Review of model-based and data-driven approaches for leak detection and location in water distribution systems
title_fullStr	Review of model-based and data-driven approaches for leak detection and location in water distribution systems
title_full_unstemmed	Review of model-based and data-driven approaches for leak detection and location in water distribution systems
title_sort	review of model-based and data-driven approaches for leak detection and location in water distribution systems
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/fbfdd73790134374b4b92e394357946c
work_keys_str_mv	AT zukanghu reviewofmodelbasedanddatadrivenapproachesforleakdetectionandlocationinwaterdistributionsystems AT beiqingchen reviewofmodelbasedanddatadrivenapproachesforleakdetectionandlocationinwaterdistributionsystems AT wenlongchen reviewofmodelbasedanddatadrivenapproachesforleakdetectionandlocationinwaterdistributionsystems AT debaotan reviewofmodelbasedanddatadrivenapproachesforleakdetectionandlocationinwaterdistributionsystems AT dingtaoshen reviewofmodelbasedanddatadrivenapproachesforleakdetectionandlocationinwaterdistributionsystems
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Review of model-based and data-driven approaches for leak detection and location in water distribution systems

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