Intelligent chlorination in water distribution networks: Integrating genetic algorithm and EPANET fusion
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...
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| Format: | Article |
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| Language: | English |
| Published: |
Elsevier
2025-07-01
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| Series: | Kuwait Journal of Science |
| Subjects: | |
| Online Access: | https://www.sciencedirect.com/science/article/pii/S2307410825000690 |
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| Summary: | 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. © 2025 The Authors |
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| ISSN: | 2307-4108 2307-4116 |