Sustained pumping of groundwater can lead to declining water levels in wellfields and concerns regarding the sustainability of groundwater resources. Aquifer Storage and Recovery (ASR) is a promising approach for maintaining water levels in wells and increasing the sustainability of groundwater resources. Herein, an analytical model relying on superposition of the Theis equation is used to resolve water levels at 40 wells in three vertically stacked ASR wellfields operating in the Denver Basin Aquifers, Colorado (USA). Fifteen years of dynamic recovery/recharge data are used to estimate aquifer and well properties, which are then used to predict water levels at individual wells. Close agreement between modeled and observed water levels supports the validity of the analytical model for ASR wellfield applications. During the study period, 45 million m³ of groundwater is produced and 11 million m³ is recharged, leading to a net withdrawal of 34 million m³ of groundwater. To quantify the benefits of recharge, the analytical model is applied to predict water levels at wells absent the historical recharge. Results indicate that during recovery and no-flow periods, recharge has increased water levels at wells up to 60 m compared to the no-recharge scenario. On average, the recharge increased water levels during the study period by 3, 4, and 11 m for wells in the Denver, Arapahoe, and Laramie Fox-Hills Aquifers, respectively. This study demonstrates the utility of analytical modeling to quantify the effects of long-term ASR at wells.

持续抽水会导致井场水位下降，并引起对地下水资源可持续性的担忧。含水层的存储和恢复（ASR）是一种有希望的方法，可以保持井中的水位并提高地下水资源的可持续性。本文中，基于Theis方程叠加的分析模型用于解析在美国科罗拉多州丹佛盆地含水层中运行的三个垂直堆叠的ASR井场中40口井的水位。15年的动态恢复/补给数据用于估算含水层和井的属性，然后用于预测各个井的水位。模拟水位和观测水位之间的密切一致性支持了ASR井场应用分析模型的有效性。在学习期间^产生了3的地下水，并补充了1100万m ³，导致净提取3400万m ³的地下水。为了量化补给的好处，将分析模型用于预测没有历史补给的井中的水位。结果表明，与无补给情景相比，补给在补给过程中增加了长达60 m的井中的水位。平均而言，在研究期间，对于丹佛，阿拉帕霍和拉勒米·福克斯-希尔斯含水层的水井，补给量分别使水位增加了3、4和11 m。这项研究证明了分析模型在量化井中长期ASR效果方面的实用性。