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An Assessment of Aquifer Storage Recovery Using Ground Water Flow Models

机译：利用地下水流模型评估含水层储量的恢复

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Owing to increased demands on ground water accompanied by increased drawdowns, technologies that use recharge options, such as aquifer storage recovery (ASR), are being used to optimize available water resources and reduce adverse effects of pumping. In this paper, three representative ground water flow models were created to assess the impact of hydrogeologic and operational parameters/factors on recovery efficiency of ASR systems. Flow/particle tracking and solute transport models were used to track the movement of water during injection, storage, and recovery. Results from particle tracking models consistently produced higher recovery efficiency than the solute transport models for the parameters/properties examined because the particle tracking models neglected mixing of the injected and ambient water. Mixing between injected and ambient water affected recovery efficiency. Results from this study demonstrate the interactions between hydrogeologic and operational parameters on predictions of recovery efficiency. These interactions are best simulated using coupled numerical ground water flow and transport models that include the effects of mixing of injected water and ambient ground water.
机译：由于对地下水的需求增加，同时水位下降，因此使用补给水的技术（例如含水层存储回收（ASR））被用于优化可用水资源并减少抽水的不利影响。在本文中，创建了三个有代表性的地下水流模型，以评估水文地质和运行参数/因素对ASR系统回收效率的影响。使用流动/颗粒跟踪和溶质传输模型来跟踪注水，存储和回收过程中水的运动。对于所检查的参数/特性，颗粒跟踪模型的结果始终比溶质迁移模型产生更高的回收效率，因为颗粒跟踪模型忽略了注入水和环境水的混合。注入水和环境水之间的混合会影响回收效率。这项研究的结果表明，水文地质参数与运行参数之间的相互作用可预测采收率。可以使用耦合的数值地下水流和输运模型（包括注入水和周围地下水混合的影响）来最佳地模拟这些相互作用。

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