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A multi-objective optimization approach for sustainable water management for places with over-exploited water resources

机译:水资源过度开发地区可持续水管理的多目标优化方法

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摘要

Rainwater harvesting (RWH) is analyzed in this work as an option for water supply for places with over-exploited water resources. The model is formulated under a multi-period, multi-objective optimization model. The objective is two fold, first to assess the potential of RWH as an alternative water source, and second to design an optimal water distribution network in which both natural and alternative sources work as an integrated system. The problem is formulated to account for three different objectives, namely maximum profit, minimum groundwater usage and minimum investment cost. A case study for the city of Queretaro in Mexico was considered to show the applicability of the proposed approach. The results show that as much as 27% of the domestic demand in Queretaro City could be supplied by RWH, which would lead to a significant recovery of deep wells currently under depletion. (C) 2018 Elsevier Ltd. All rights reserved.
机译:在这项工作中,对雨水收集(RWH)进行了分析,以作为水资源过度开发的地方的供水选择。该模型是在多周期,多目标优化模型下制定的。目标有两个方面,首先是评估RWH作为替代水源的潜力,其次是设计一个最佳的水分配网络,在该网络中,自然和替代水源都可以作为一个集成系统。该问题的制定考虑了三个不同的目标,即最大利润,最小地下水用量和最小投资成本。考虑了对墨西哥克雷塔罗市的案例研究,以显示该方法的适用性。结果表明,RWH可以满足克雷塔罗市多达27%的国内需求,这将导致目前正在枯竭的深井的大量采收。 (C)2018 Elsevier Ltd.保留所有权利。

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