Hydraulic model-based methods with sequential parameter tuning for localizing leaks in water supply networks
File(s)
Accepted version
Author(s)
Liu, Yuanyang
Pecci, Filippo
Stoianov, Ivan
Type
Journal Article
Abstract
In this paper, two novel hydraulic model–based leak localization methods are presented and investigated. These are the iterative regularized inverse method (IRIM) and the tuned sensitivity matrix method (TSMM). Sequential parameter tuning techniques were developed for both methods with the goal of identifying a practically viable search area that includes the location of the leak. The null space method was implemented in calculating the sensitivity matrix for the TSMM, which enhances computational speed and addresses matrix singularity. New performance metrics were introduced to assess the effectiveness of the leak localization methods. The developed leak localization methods were benchmarked against the original regularized inverse method (RIM) and sensitivity matrix method (SMM) through a numerical case study. The results show that the proposed hydraulic model–based methods with sequential parameter tuning outperform the original methods in all performance metrics.
Date Issued
2025-05-01
Date Acceptance
2025-01-02
Citation
Journal of Water Resources Planning and Management, 2025, 151 (5)
ISSN
0733-9496
Publisher
American Society of Civil Engineers
Journal / Book Title
Journal of Water Resources Planning and Management
Volume
151
Issue
5
Copyright Statement
© 2025 American Society of Civil Engineers. This is the author’s accepted manuscript made available under a CC-BY licence in accordance with Imperial’s Research Publications Open Access policy (www.imperial.ac.uk/oa-policy)
License URL
Sponsor
Engineering & Physical Science Research Council (E
Royal Academy of Engineering
Grant Number
EP/P004229/1
RCSRF2324-17-41
Publication Status
Published
Date Publish Online
2025-03-07