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首页> 外文期刊>Modeling Earth Systems and Environment >Modelling saltwater intrusion processes and development of a multi-objective strategy for management of coastal aquifers utilizing planned artificial freshwater recharge
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Modelling saltwater intrusion processes and development of a multi-objective strategy for management of coastal aquifers utilizing planned artificial freshwater recharge

机译：利用规划人工淡水充值建模咸水入侵过程和沿海含水层管理多目标战略的发展

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Abstract The need for freshwater is emerging as the utmost critical resource issue facing humanity. In several arid and semi-arid parts of the world, groundwater resources are being used as an alternative source of freshwater. Excessive and/or unplanned groundwater withdrawals have a negative impact on the aquifer. Groundwater withdrawn from coastal aquifers are susceptible to contamination by saltwater intrusion. This study investigates the efficiency and viability of using artificial freshwater recharge (AFR) to increase fresh groundwater pumping from production wells for beneficial use. A three dimensional (3D), transient, density dependent, finite element based flow and transport model of an illustrative coastal aquifer is implemented using FEMWATER code. First, the effect of AFR on inland encroachment of saline water is quantified for existing scenarios. Specifically, groundwater head and salinity concentration differences at monitoring locations before and after artificial recharge is presented. Second, a multi-objective management model incorporating groundwater pumping and AFR is implemented to control groundwater salinization in an illustrative coastal aquifer system. To avoid computational burden and ensure computational feasibility, the numerical flow and transport simulation model is substituted by the new support vector regression (SVR) predictive models as approximate simulators in the simulation–optimization framework for developing optimal management strategies. The performance evaluation results indicated that the SVR models were adequately trained and were capable of approximating saltwater intrusion processes in the aquifer. Multi-objective genetic algorithm (MOGA) is used to solve the multi-objective optimization problem. The Pareto-optimal front obtained as solution from the SVR–MOGA optimization model presented a set of optimal solutions needed for the sustainable management of the coastal aquifer. The pumping strategies obtained as Pareto optimal solutions with and without freshwater recharge wells showed that saltwater intrusion is sensitive to the AFR. Also, the hydraulic head lenses created by AFR can be used as one practical option to control saltwater intrusion in coastal aquifers. The developed 3D saltwater intrusion model, predictive capability of the developed SVR models and the feasibility of using the proposed linked multi-objective SVR–MOGA optimization model makes the proposed methodology potentially attractive in solving large scale regional saltwater intrusion management problems.
机译：摘要淡水的需求是人类面临的最重要的资源问题。在世界的几个干旱和半干旱地区，地下水资源被用作淡水的替代来源。过度和/或无计划的地下水取出对含水层产生负面影响。从沿海含水层中取出的地下水易受咸水侵入污染的影响。本研究研究了使用人造淡水补给（AFR）的效率和可行性来增加生产井的新鲜地下水以便有益使用。使用Femwater代码实现了三维（3D），瞬态，密度依赖性，有限元的基于元素的流量和传输模型。首先，为现有场景量化AFR对内陆侵占盐水的影响。具体地，提出了人工补给之前和之后的监测位置的地下水头和盐度浓度差异。其次，采用地下水泵和AFR的多目标管理模型进行了实施，以控制说明性沿海含水层系统中的地下水盐渍化。为了避免计算负担并确保计算可行性，数值流和传输仿真模型被新的支持向量回归（SVR）预测模型代替，作为仿真优化框架中的近似模拟器，用于开发最佳管理策略。性能评估结果表明SVR模型被充分培训，并且能够近似含水层中的盐水入侵过程。多目标遗传算法（MOGA）用于解决多目标优化问题。作为SVR-MOGA优化模型的解决方案获得的Pareto-Optimal前沿提出了一系列沿海含水层的可持续管理所需的最佳解决方案。作为帕累托最佳溶液获得的泵浦策略，具有和没有淡水充电井，显示出咸水侵入对AFR敏感。此外，由AFR产生的液压头镜片可用作控制沿海含水层中的咸水侵入的一种实用选择。开发的3D咸水入侵模型，开发的SVR模型的预测能力和使用所提出的链接多目标SVR-MOGA优化模型的可行性使得提出的方法可能具有诸如解决大规模区域咸水入侵管理问题的方法。

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