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Optimal use of chlorine in water distribution networks based on specific locations of booster chlorination: analyzing conditions in Mexico

机译:基于增压氯化特定位置的水分配网络中氯的最佳用途:墨西哥分析条件

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Water distribution networks (WDNs) could present problems of pathogen intrusion that affect the health of consumers. One solution to diminish this risk is to add more disinfectant to the water at the drinking water treatment plant (DWTP). However, this increases the cost of water treatment and may also cause the formation of trihalomethanes. Mexico has the largest bottled water market in the world. Also, most houses are built with individual storage containers due to intermittent service, which generates a greater residence time of the water before use. This paper shows an alternative to guarantee minimum disinfection along WDNs and diminish the use of disinfectant at the DWTP considering the conditions of water consumption and use in Mexico. We propose a model based on Genetic Algorithms to obtain scenarios where free chlorine is maintained at the minimum permissible concentration throughout the day. In addition, Water Managers could optimize the use of disinfectant by implementing booster chlorination stations (BCSs). The results show that chlorine use could be reduced by 38%, therefore guaranteeing the chlorine concentration limits along the WDN.
机译:水分配网络(WDN)可能呈现影响消费者健康的病原体入侵问题。一种减少这种风险的一种解决方案是在饮用水处理厂(DWTP)中为水添加更多消毒剂。然而,这增加了水处理的成本,也可能导致三卤代甲烷的形成。墨西哥拥有世界上最大的瓶装水市场。此外,大多数房屋是由于间歇性服务而建造的,由于间歇性服务,在使用前产生了更大的水停留时间。本文展示了保证沿WDN的最小消毒的替代方案,并在德国的情况下,在DWTP中削弱消毒剂的使用,考虑到墨西哥的水消耗和使用。我们提出了一种基于遗传算法的模型,以获得自由氯在全天最小允许浓度保持游离氯的情况。此外,水管理人员可以通过实施加强氯化站(BCSS)来优化消毒剂的使用。结果表明,氯气用途可以减少38%,因此保证沿WDN的氯浓度限制。

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