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oai:recercat.cat:2117/3789682026-01-21T07:30:48Zcom_2072_1033col_2072_452950

Leak localization in water distribution networks using data-driven and model-based approaches Romero Ben, Luis Alves, Débora Cristina Costa da Silva Blesa Izquierdo, Joaquim Cembrano Gennari, Gabriela Puig Cayuela, Vicenç Duviella, Eric Universitat Politècnica de Catalunya. Doctorat en Automàtica, Robòtica i Visió Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial Institut de Robòtica i Informàtica Industrial Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control Àrees temàtiques de la UPC::Informàtica::Automàtica i control Leak detectors Water - Distribution Detectors de fuites Aigua -- Distribució 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 for 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 rely on the availability of an hydraulic model of the WDN, while data-driven techniques only require measurements from the network operation but 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. Peer Reviewed Postprint (author's final draft) 2022-05-01 Article Romero, L. [et al.]. Leak localization in water distribution networks using data-driven and model-based approaches. "Journal of water resources planning and management", 1 Maig 2022, vol. 148, núm. 5, article 04022016. 1943-5452 https://hdl.handle.net/2117/378968 10.1061/(ASCE)WR.1943-5452.0001542 eng https://ascelibrary.org/doi/10.1061/%28ASCE%29WR.1943-5452.0001542 http://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access Attribution-NonCommercial-NoDerivatives 4.0 International application/pdf application/pdf EDITORIAL ASCER