Hydraulic Model–Based Methods with Sequential Parameter Tuning for Localizing Leaks in Water Supply Networks

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.