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Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS

1
Faculty of Science and Technology, Free University of Bozen-Bolzano, Piazza Università 5, 39100 Bolzano, Italy
2
Department of Civil, Environmental and Mechanical Engineering, University of Trento, via Mesiano 77, 38123 Trento, Italy
*
Author to whom correspondence should be addressed.
Water 2019, 11(3), 629; https://doi.org/10.3390/w11030629
Received: 29 January 2019 / Revised: 4 March 2019 / Accepted: 21 March 2019 / Published: 26 March 2019
(This article belongs to the Section Urban Water Management)
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PDF [2238 KB, uploaded 26 March 2019]
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Abstract

Many efforts have been made in recent decades to formulate strategies for improving the efficiency of water distribution systems (WDS), led by the socio-demographic evolution of modern society and the climate change scenario. The improvement of WDS management is a complex task that can be addressed by providing services to maximize revenues while ensuring that the quality standards required by national and international regulations are upheld. These two objectives can be fulfilled by utilizing optimized techniques for the operational and maintenance strategies of WDS. This paper proposes a methodology for assisting engineers in identifying water leakages in WDS, thus providing an effective procedure for ensuring high level hydraulic network functionality. The proposed approach is based on an inverse analysis of measured flow rates and pressure data, and consists of three steps: The analysis of measurements to select the most suitable period for leakage identification, the localization of the best measurement points based on a correlation analysis, and leakage identification with a hybrid optimization that combines the exploration capability of the differential evolution algorithm with the rapid convergence of particle swarm optimization. The proposed procedure is validated on a reference hydraulic network, known as the Apulian network. View Full-Text
Keywords: water distribution systems; leakage detection; optimal sensor placement; hybrid evolutive optimization; hybrid particle swarm with differential evolution operator water distribution systems; leakage detection; optimal sensor placement; hybrid evolutive optimization; hybrid particle swarm with differential evolution operator
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Righetti, M.; Bort, C.M.G.; Bottazzi, M.; Menapace, A.; Zanfei, A. Optimal Selection and Monitoring of Nodes Aimed at Supporting Leakages Identification in WDS. Water 2019, 11, 629.

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