S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner

Security concerns about water distribution networks (WDNs) have led to increased interest in optimizing sensor locations in WDNs achieved through a calibrated hydraulic model. This paper presents a methodology, which consists of two stages. The first stage consists of calibration of a hydraulic mode...

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Autor principal:	Shweta Rathi
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	calibration contamination detection sensor placement s-place ga tcv modeling water distribution networks Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/130655387e3a4be1b2c68aced2501bff
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spelling	oai:doaj.org-article:130655387e3a4be1b2c68aced2501bff2021-11-06T07:09:17ZS-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner1606-97491607-079810.2166/ws.2020.333https://doaj.org/article/130655387e3a4be1b2c68aced2501bff2021-03-01T00:00:00Zhttp://ws.iwaponline.com/content/21/2/615https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Security concerns about water distribution networks (WDNs) have led to increased interest in optimizing sensor locations in WDNs achieved through a calibrated hydraulic model. This paper presents a methodology, which consists of two stages. The first stage consists of calibration of a hydraulic model using a genetic algorithm (GA). A real-life network of one of the hydraulic zones of Nagpur city, India, is considered, which optimizes the settings of a throttled controlled valve at different timings for calibration. In this stage, a detailed case study, GA calibration model, methodology and results of calibrated models are discussed. The second stage consists of identifying optimal sensor locations using a newly developed software tool named ‘S-PLACE GA’ and its efficiency and effectiveness are discussed. It can be used for the dual purpose of routine monitoring of water quality and for early detection of contamination. The optimal locations are obtained considering two objective metrics, ‘Demand Coverage’ and ‘Time-Constrained Detection Likelihood’. These two objectives are combined into a single objective by using weights. Key features, input data required for the software and their applications on (1) BWSN network 1 and result comparison with others and (2) calibrated model of the first stage are discussed. Results showed the effectiveness of S-PLACE GA for practical applications. HIGHLIGHTS Paper highlights the calibration of hydraulic model of water distribution system (WDS) using genetic algorithm performing the modelling of throttled control valve.; The new software tool ‘S-PLACE GA’ is developed for dual purpose of routine monitoring of water quality in WDS and for early detection of contamination in case of accidental or intentional contamination simultaneously.; The new formulation is suggested considering weighted objective function comprising two objective metrics, ‘Demand Coverage’ and ‘Time-Constrained Detection Likelihood’. Application and result comparison are shown on benchmark problem.;Shweta RathiIWA Publishingarticlecalibrationcontamination detectionsensor placements-place gatcv modelingwater distribution networksWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 2, Pp 615-634 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	calibration contamination detection sensor placement s-place ga tcv modeling water distribution networks Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	calibration contamination detection sensor placement s-place ga tcv modeling water distribution networks Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Shweta Rathi S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
description	Security concerns about water distribution networks (WDNs) have led to increased interest in optimizing sensor locations in WDNs achieved through a calibrated hydraulic model. This paper presents a methodology, which consists of two stages. The first stage consists of calibration of a hydraulic model using a genetic algorithm (GA). A real-life network of one of the hydraulic zones of Nagpur city, India, is considered, which optimizes the settings of a throttled controlled valve at different timings for calibration. In this stage, a detailed case study, GA calibration model, methodology and results of calibrated models are discussed. The second stage consists of identifying optimal sensor locations using a newly developed software tool named ‘S-PLACE GA’ and its efficiency and effectiveness are discussed. It can be used for the dual purpose of routine monitoring of water quality and for early detection of contamination. The optimal locations are obtained considering two objective metrics, ‘Demand Coverage’ and ‘Time-Constrained Detection Likelihood’. These two objectives are combined into a single objective by using weights. Key features, input data required for the software and their applications on (1) BWSN network 1 and result comparison with others and (2) calibrated model of the first stage are discussed. Results showed the effectiveness of S-PLACE GA for practical applications. HIGHLIGHTS Paper highlights the calibration of hydraulic model of water distribution system (WDS) using genetic algorithm performing the modelling of throttled control valve.; The new software tool ‘S-PLACE GA’ is developed for dual purpose of routine monitoring of water quality in WDS and for early detection of contamination in case of accidental or intentional contamination simultaneously.; The new formulation is suggested considering weighted objective function comprising two objective metrics, ‘Demand Coverage’ and ‘Time-Constrained Detection Likelihood’. Application and result comparison are shown on benchmark problem.;
format	article
author	Shweta Rathi
author_facet	Shweta Rathi
author_sort	Shweta Rathi
title	S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
title_short	S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
title_full	S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
title_fullStr	S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
title_full_unstemmed	S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
title_sort	s-place ga for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/130655387e3a4be1b2c68aced2501bff
work_keys_str_mv	AT shwetarathi splacegaforoptimalwaterqualitysensorlocationsinwaterdistributionnetworkfordualpurposeregularmonitoringandearlycontaminationdetectionasoftwaretoolforacademiaandpractitioner
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S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner

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