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Management decision of optimal recharge water in groundwater artificial recharge conditions- A case study in an artificial recharge test site

机译:地下水人工补给条件最佳充电水的管理决策 - 一种人工充电试验网站的案例研究

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The city conducted groundwater artificial recharge test which was taken a typical site as an example, and the purpose is to prevent and control land subsidence, increase the amount of groundwater resources. To protect groundwater environmental quality and safety, the city chose tap water as recharge water, however, the high cost makes it not conducive to the optimal allocation of water resources and not suitable to popularize widely. To solve this, the city selects two major surface water of River A and B as the proposed recharge water, to explore its feasibility. According to a comprehensive analysis of the cost of recharge, the distance of the water transport, the quality of recharge water and others. Entropy weight Fuzzy Comprehensive Evaluation Method is used to prefer tap water and water of River A and B. Evaluation results show that water of River B is the optimal recharge water, if used; recharge cost will be from $0.4724/m~3 to $0.3696/m~3. Using Entropy weight Fuzzy Comprehensive Evaluation Method to confirm water of River B as optimal water is scientific and reasonable. The optimal water management decisions can provide technical support for the city to carry out overall groundwater artificial recharge engineering in deep aquifer.
机译:该市进行地下水人工充电试验,以典型的遗址为例,目的是预防和控制土地沉降,增加地下水资源的数量。为了保护地下水环境质量和安全,城市选择自来水作为充电水,但高成本使其不利于水资源的最佳配置,不适合广泛推广。为了解决这个问题,城市选择了河流A和B的两个主要水面水,作为提出的充电水,探讨其可行性。根据对充电成本的综合分析,水运的距离,充电水和其他品质。熵权模糊综合评价方法用于初带水龙水和B.评估结果表明,如果使用,则河流水是最佳的充电水;充电费用为0.4724 / m〜3至0.3696 / m〜3。采用熵权模糊综合评价方法,以确认河流河水作为最佳水是科学合理的。最佳的水管理决策可以为城市提供技术支持,在深含水层中开展整体地下水人工补给工程。

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