An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications

This paper describes the development of an integrated approach for water pipe network calibration and lea quantification. The proposed approach provides a practical procedure that merges field measurements and mathematical modeling for leak quantification and network calibration. The use of Evolutio...

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Autores principales:	A. Ayad, A. Khalifa, M.EL Fawy, A. Moawad
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Leak detection Network calibration Optimization Water losses Engineering (General). Civil engineering (General) TA1-2040
Acceso en línea:	https://doaj.org/article/c7ae595ac1674f208427b753251b7b66
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spelling	oai:doaj.org-article:c7ae595ac1674f208427b753251b7b662021-11-22T04:21:45ZAn integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications2090-447910.1016/j.asej.2021.04.007https://doaj.org/article/c7ae595ac1674f208427b753251b7b662021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2090447921001763https://doaj.org/toc/2090-4479This paper describes the development of an integrated approach for water pipe network calibration and lea quantification. The proposed approach provides a practical procedure that merges field measurements and mathematical modeling for leak quantification and network calibration. The use of Evolutionary Algorithms (EA) using both Genetic Algorithms (GA) and Shuffled Complex Evolution – University of Arizona (SCE-UA) to calculate the pinpointed leak outflows well as to identify any faulty meters. Also, by treating pinpointed physical leaks as junction points, the model, via EPAnet connection, calibrates the network and calculates their demands (which is equivalent to physical losses) and estimating pipes roughness factor (CHW) for better network calibration. Besides, throughout the process, the developed model uses GA and SCE-UA but departs from traditional use in using floating-point representations and introducing a new self-adaptive constraint handling function, which yields optimal results in fewer generations (model runs). Two pilot networks are selected, a well-known hypothetical network (Hanoi network) to present the general mathematical model, while a real network (Faisal city network) is used to test the integrated approach. The model integrates EPAnet for the required hydraulic modeling during the simulation and GIS for input data integration and output representation during the whole procedure. The results prove the approach's accuracy and efficiency.A. AyadA. KhalifaM.EL FawyA. MoawadElsevierarticleLeak detectionNetwork calibrationOptimizationWater lossesEngineering (General). Civil engineering (General)TA1-2040ENAin Shams Engineering Journal, Vol 12, Iss 4, Pp 3509-3520 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Leak detection Network calibration Optimization Water losses Engineering (General). Civil engineering (General) TA1-2040
spellingShingle	Leak detection Network calibration Optimization Water losses Engineering (General). Civil engineering (General) TA1-2040 A. Ayad A. Khalifa M.EL Fawy A. Moawad An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications
description	This paper describes the development of an integrated approach for water pipe network calibration and lea quantification. The proposed approach provides a practical procedure that merges field measurements and mathematical modeling for leak quantification and network calibration. The use of Evolutionary Algorithms (EA) using both Genetic Algorithms (GA) and Shuffled Complex Evolution – University of Arizona (SCE-UA) to calculate the pinpointed leak outflows well as to identify any faulty meters. Also, by treating pinpointed physical leaks as junction points, the model, via EPAnet connection, calibrates the network and calculates their demands (which is equivalent to physical losses) and estimating pipes roughness factor (CHW) for better network calibration. Besides, throughout the process, the developed model uses GA and SCE-UA but departs from traditional use in using floating-point representations and introducing a new self-adaptive constraint handling function, which yields optimal results in fewer generations (model runs). Two pilot networks are selected, a well-known hypothetical network (Hanoi network) to present the general mathematical model, while a real network (Faisal city network) is used to test the integrated approach. The model integrates EPAnet for the required hydraulic modeling during the simulation and GIS for input data integration and output representation during the whole procedure. The results prove the approach's accuracy and efficiency.
format	article
author	A. Ayad A. Khalifa M.EL Fawy A. Moawad
author_facet	A. Ayad A. Khalifa M.EL Fawy A. Moawad
author_sort	A. Ayad
title	An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications
title_short	An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications
title_full	An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications
title_fullStr	An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications
title_full_unstemmed	An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications
title_sort	integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and gis applications
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/c7ae595ac1674f208427b753251b7b66
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An integrated approach for non-revenue water reduction in water distribution networks based on field activities, optimisation, and GIS applications

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