Intelligent chlorination in water distribution networks: Integrating genetic algorithm and EPANET fusion

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F46747885%3A24220%2F25%3A00013508" target="_blank" >RIV/46747885:24220/25:00013508 - isvavai.cz</a>
Alternative codes found
RIV/46747885:24620/25:00013508
Result on the web
<a href="https://www.sciencedirect.com/science/article/pii/S2307410825000690" target="_blank" >https://www.sciencedirect.com/science/article/pii/S2307410825000690</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.kjs.2025.100425" target="_blank" >10.1016/j.kjs.2025.100425</a>

Result language
angličtina
Original language name
Intelligent chlorination in water distribution networks: Integrating genetic algorithm and EPANET fusion
Original language description
The primary goal of chlorination, a chemical treatment process employed in water distribution networks (WDNs), is to safeguard public health by disinfecting potable water. This research delves into the hydraulic and qualitative analysis of WDNs in the Golestan district of Ahwaz city, Iran, utilizing a demand-based methodology integrating genetic algorithm (GA) and Environmental Protection Agency Network Evaluation Tool (EPANET) simulation software. The investigation incorporates varied concentrations of booster chlorination, and a re-qualitative analysis is subsequently performed. Three distinct scenarios, each employing one, two, and three booster pumps, are conceptualized. A quality performance indicator is developed to enhance comprehension and facilitate a comprehensive water assessment. To optimize the quality performance index (QPI), the GA is employed with an objective function, i.e., determining the most effective placement of chlorine injection pumps. The results reveal that the network performance index achieved percentages of 78%, 78%, and 80% across the three scenarios. Moreover, the water quality in the second and third scenarios attains notably high acceptability levels, highlighting the efficacy of the proposed chlorination strategy.
Czech name
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Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10700 - Other natural sciences

Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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