Leak Localization and Quantification in Water Distribution Networks via a Hybrid Approach Combining Indirect Leak Detection and Fuzzy Inference Systems

January 22, 2026Technical Strategies in Water SystemsOpen Access

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Key Points

This research aims to develop a hybrid framework for leak localization and quantification in water distribution networks.
Integrated indirect leak detection with statistical analysis of pressure changes
Utilized fuzzy inference systems for determining leak parameters
Implemented on a single pipe and a distribution network with 21 nodes and 27 pipes
Mean error percentage for leak location, coefficient, and power were 2.6%, 0.62%, and -4.8% respectively
In a network, optimal performance was achieved with four fuzzy partitions
Average error percentages in leak identification were 15.6%, 9.8%, 37.7%, and -11.8% for various parameters

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Hybrid approach shows improved leak localization in water networks, suggesting better monitoring and cost efficiency.

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Ebrahimi et al. (2026) studied this question.

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