Leak localization in water distribution networks using data-driven and model-based approaches

Journal Article (2022)


Journal of Water Resources Planning and Management







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The detection and localization of leaks in water distribution networks (WDNs) is one of the major concerns of water utilities, due to the necessity of an efficient operation that satisfies the worldwide growing demand of water. There exists a wide range of methods, from equipment-based techniques that rely only on hardware devices to software-based methods that exploit models and algorithms as well. Model-based approaches provide an effective performance but they rely on the availability of an hydraulic model of the WDN, while data-driven techniques only require measurements from the network operation although they may produce less accurate results. This paper proposes two methodologies: a model-based approach that uses the hydraulic model of the network, as well as pressure and demand information; and a fully data-driven method based on graph interpolation and a new candidate selection criteria. Their complementary application was successfully applied to the Battle of the Leakage Detection and Isolation Methods (BattLeDIM) 2020 challenge, and the achieved results are presented in this paper to demonstrate the suitability of the methods.


mathematical programming, optimisation.

Author keywords

water distribution network, leak localization, graph-based interpolation, benchmark

Scientific reference

L. Romero, D. Alves, J. Blesa, G. Cembrano, V. Puig and E. Duviella. Leak localization in water distribution networks using data-driven and model-based approaches. Journal of Water Resources Planning and Management, 148(5): 04022016, 2022, to appear.