Estimation of Chlorine Concentration in Water Distribution Systems Based on a Genetic Algorithm
This paper proposes a methodology based on a genetic algorithms (GA) to calibrate the parameters of a chlorine decay model in a water distribution system (WDS). The proposed methodology first contemplates that a GA is implemented using historical measurements of chlorine concentration at some sensed...
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| Veröffentlicht in: | Processes 2023-03, Vol.11 (3), p.676 |
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| creator | Gómez-Coronel, Leonardo Delgado-Aguiñaga, Jorge Alejandro Santos-Ruiz, Ildeberto Navarro-Díaz, Adrián |
| description | This paper proposes a methodology based on a genetic algorithms (GA) to calibrate the parameters of a chlorine decay model in a water distribution system (WDS). The proposed methodology first contemplates that a GA is implemented using historical measurements of chlorine concentration at some sensed nodes to calibrate the unknown values corresponding to both the bulk and wall reaction coefficients. Once both parameters are estimated, the optimal-fit chlorine decay model is used to predict the decay of chlorine concentration in the water at each node for any concentration input at the pumping station. Then, a second GA-based algorithm is implemented to obtain the minimal chlorine concentration needed at the input to ensure that every node in the system meets the official normativity requirements for free chlorine in a WDS. The proposed methodology performed satisfactorily for a WDS simulated in EPANET with a GA implemented in MATLAB, both for the estimation of the reaction coefficients and the optimization of the required chlorine concentration at the input. Simulation results illustrate the performance of the proposed algorithm. |
| doi_str_mv | 10.3390/pr11030676 |
| format | Article |
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The proposed methodology first contemplates that a GA is implemented using historical measurements of chlorine concentration at some sensed nodes to calibrate the unknown values corresponding to both the bulk and wall reaction coefficients. Once both parameters are estimated, the optimal-fit chlorine decay model is used to predict the decay of chlorine concentration in the water at each node for any concentration input at the pumping station. Then, a second GA-based algorithm is implemented to obtain the minimal chlorine concentration needed at the input to ensure that every node in the system meets the official normativity requirements for free chlorine in a WDS. The proposed methodology performed satisfactorily for a WDS simulated in EPANET with a GA implemented in MATLAB, both for the estimation of the reaction coefficients and the optimization of the required chlorine concentration at the input. Simulation results illustrate the performance of the proposed algorithm.</description><identifier>ISSN: 2227-9717</identifier><identifier>EISSN: 2227-9717</identifier><identifier>DOI: 10.3390/pr11030676</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Accuracy ; Algorithms ; Analysis ; Bacteria ; Chlorine ; Decay ; Drinking water ; Genetic algorithms ; Laboratories ; Mathematical models ; Methodology ; Optimization ; Parameter estimation ; Propagation ; Public health ; Pumping stations ; Simulation ; Software ; Water distribution ; Water engineering ; Water quality</subject><ispartof>Processes, 2023-03, Vol.11 (3), p.676</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). 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| subjects | Accuracy Algorithms Analysis Bacteria Chlorine Decay Drinking water Genetic algorithms Laboratories Mathematical models Methodology Optimization Parameter estimation Propagation Public health Pumping stations Simulation Software Water distribution Water engineering Water quality |
| title | Estimation of Chlorine Concentration in Water Distribution Systems Based on a Genetic Algorithm |
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