Aquifer storage and recovery (ASR) is a solution for regions experiencing groundwater shortages, but is unexplored in wet regions such as Louisiana, which is experiencing aquifer overdrafting at alarming rates. Surface storage reservoirs are infeasible in these low-gradient environments, so ASR can provide an alternative to alleviate groundwater stress and prevent subsidence and saltwater intrusion. The purpose of this study was to assess the feasibility of ASR in the Chicot Aquifer in Southwest Louisiana. The study is based on a regional groundwater model combined with a geospatial analysis of the quantity and quality of surface water and groundwater resources and land use. A statistical distribution was used to rate each criterion and combine them into a suitability index (SI) that defines each watershed’s feasibility considering combinations of criteria determined by the user’s purpose for ASR and the availability of data. The SI was formulated as a hybrid additive-multiplicative function to provide flexibility in specifying criteria that are deemed most constraining for ASR feasibility. The analysis identified the east-central zone of the Chicot Aquifer, which is experiencing substantial groundwater stress from agricultural irrigation, as most suited for ASR operations. Besides the criteria on water availability and aquifer characteristics, the quality of the surface water and land-use considerations were key factors in constraining the feasible watersheds.

中文翻译：

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使用数值建模和地理空间分析评估含水层储存和恢复的可行性：在路易斯安那州的应用

含水层储存和恢复 (ASR) 是地下水短缺地区的解决方案，但在路易斯安那州等潮湿地区尚未开发，该地区正在以惊人的速度经历含水层透支。在这些低梯度环境中，地表蓄水水库是不可行的，因此 ASR 可以提供一种替代方法来缓解地下水压力并防止沉降和海水入侵。本研究的目的是评估 ASR 在路易斯安那州西南部 Chicot 含水层的可行性。该研究基于区域地下水模型，并结合对地表水和地下水资源以及土地利用的数量和质量的地理空间分析。使用统计分布对每个标准进行评级，并将它们组合成一个适宜性指数 (SI)，该指数定义了每个流域的可行性，同时考虑了由用户的 ASR 目的和数据可用性确定的标准组合。SI 被制定为混合加法乘法函数，以在指定被认为对 ASR 可行性最具约束力的标准方面提供灵活性。分析确定了 Chicot 含水层的中东部地区，该地区因农业灌溉而面临严重的地下水压力，最适合 ASR 作业。除了可用水量和含水层特征的标准外，地表水质量和土地利用考虑是限制可行流域的关键因素。