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Hydraulic tomography analysis of municipal-well operation data with geology-based groundwater models
Hydrogeology Journal ( IF 2.4 ) Pub Date : 2021-04-02 , DOI: 10.1007/s10040-021-02320-4
Xin Tong , Walter A. Illman , Steven J. Berg , Ning Luo

The sustainable management of groundwater resources is essential to municipalities worldwide due to increasing water demand. Planning for the optimized use of groundwater resources requires reliable estimation of hydraulic parameters such as hydraulic conductivity (K) and specific storage (Ss). However, estimation of hydraulic parameters can be difficult with dedicated pumping tests while municipal wells are in operation. In this study, the K and Ss of a highly heterogeneous, multi-aquifer/aquitard system are estimated through the inverse modeling of water-level data from observation wells collected during municipal well operations. In particular, four different geological models are calibrated by coupling HydroGeoSphere (HGS) with the parameter estimation code PEST. The joint analysis of water-level records resulting from fluctuating pumping and injection operations amounts to a hydraulic tomography (HT) analysis. The four geological models are well calibrated and yield reliable estimates that are consistent with previously studies. Overall, this research reveals that: (1) the HT analysis of municipal well records is feasible and yields reliable K and Ss estimates for individual geological units where drawdown records are available; (2) these estimates are obtained at the scale of intended use, unlike small-scale estimates typically obtained through other characterization methods; (3) the HT analysis can be conducted using existing data, which leads to substantial cost savings; and (4) data collected during municipal well operations can be used in the development of new groundwater models or in the calibration of existing groundwater models, thus they are valuable and should be archived.



中文翻译:

基于地质学的地下水模型对市政井作业数据的水力层析成像分析

由于对水的需求不断增加,地下水资源的可持续管理对全世界的城市来说都是必不可少的。规划地下水资源的优化利用需要可靠地估算水力参数,例如水力传导率(K)和特定储量(S s)。但是,在市政井运行期间,使用专用的抽水测试很难估计水力参数。在这项研究中,ķ小号小号通过对市政井作业期间收集的观察井的水位数据进行反演,可以估算出高度异构的多含水层/阿奎塔岩系统的水位。具体而言,通过将HydroGeoSphere(HGS)与参数估计代码PEST耦合,可以校准四个不同的地质模型。波动的泵送和注入操作导致的水位记录的联合分析相当于液压层析成像(HT)分析。四种地质模型都经过了很好的校准,并得出了可靠的估计,与先前的研究一致。总体而言,这项研究表明:(1)对城市井记录进行HT分析是可行的,并产生可靠的KS s有缩水记录的单个地质单位的估算;(2)这些估算是在预期用途的规模上获得的,与通常通过其他表征方法获得的小规模估算不同;(3)可以使用现有数据进行HT分析,从而节省大量成本;(4)在市政井井作业过程中收集的数据可用于开发新的地下水模型或用于现有地下水模型的校准,因此它们很有价值,应予以存档。

更新日期:2021-04-02
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