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Multi-objective Optimization of Different Management Scenarios to Control Seawater Intrusion in Coastal Aquifers

机译:控制海岸带海水入侵的不同管理方案的多目标优化

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Seawater intrusion (SWI) is a widespread environmental problem, particularly in arid and semi-arid coastal areas. Therefore, appropriate management strategies should be implemented in coastal aquifers to control SWI with acceptable limits of economic and environmental costs. This paper presents the results of an investigation on the efficiencies of different management scenarios for controlling saltwater intrusion using a simulation-optimization approach. A new methodology is proposed to control SWI in coastal aquifers. The proposed method is based on a combination of abstraction of saline water near shoreline, desalination of the abstracted water for domestic consumption and recharge of the aquifer by deep injection of the treated wastewater to ensure the sustainability of the aquifer. The efficiency of the proposed method is investigated in terms of water quality and capital and maintenance costs in comparison with other scenarios of groundwater management. A multi-objective genetic algorithm based evolutionary optimization model is integrated with the numerical simulation model to search for optimal solution of each scenario of SWI control. The main objective is to minimize both the total cost of management process and the total salinity in aquifer. The results indicate that the proposed method is efficient in controlling SWI as it offers the least cost and least salinity in the aquifer.
机译:海水入侵(SWI)是一个广泛的环境问题,尤其是在干旱和半干旱沿海地区。因此,应在沿海含水层中实施适当的管理策略,以在可接受的经济和环境成本限制下控制SWI。本文介绍了使用模拟优化方法对控制咸水入侵的不同管理方案的效率进行调查的结果。提出了一种控制沿海含水层中SWI的新方法。所提出的方法是基于将海岸线附近的咸水抽取,对生活用水所抽取的水进行脱盐以及通过深注入处理后的废水来补给含水层以确保含水层的可持续性的组合。与其他地下水管理方案相比,从水质,资金和维护成本方面研究了该方法的效率。将基于多目标遗传算法的进化优化模型与数值仿真模型集成在一起,以寻找SWI控制每种情况的最优解。主要目的是使管理过程的总成本和含水层中的总盐度最小化。结果表明,该方法可有效控制SWI,因为它在含水层中提供了最低的成本和最低的盐度。

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