Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions
Continental Scale Hydrostratigraphy: Comparing Geologically Informed Data Products to Analytical Solutions
复制标题
大陆尺度水文地层学：地质信息数据产品与分析解决方案的比较
DOI：
10.1111/gwat.13354
复制
发表时间：
2023
期刊：
影响因子：
2.6
通讯作者：
Maxwell, Reed M.
中科院分区：
文献类型：
--
作者：
Swilley, Jackson S.;Tijerina‐Kreuzer, Danielle;Tran, Hoang V.;Zhang, Jun;Yang, Chen;Condon, Laura E.;Maxwell, Reed M.
本研究综合了两种不同的大尺度水导率(K)估算方法。我们推导出估算K的分析方法，并将其应用于毗邻的美国。然后，我们将这些分析方法与三维的国家网格K数据产品和从公开来源开发的三种透射率(T)数据产品进行比较。我们使用多种方法评估这些数据产品：将其统计数据定性和定量地与水文模型模拟进行比较。其中一些数据集被用作上科罗拉多河流域综合水文模型的输入，并将结果与观测结果进行比较，以进一步评估K数据产品。模拟的平均日流量与该地区10个USGS流量测量仪的日流量数据进行了比较，并将模拟地下水年平均深度与近2000口监测井的观测结果进行了比较。我们发现，从分析信息模拟中得出的流量预测在相对偏差和斯皮尔曼rho方面与地质信息模拟相似。地下水深度预测的R平方值接近最佳分析模拟和地质模拟，分别为0.68和0.70，RMSE值在10 m以下。我们还表明，本研究得出的分析方法产生的K估计在空间分布、标准差、平均值和建模性能方面与地质信息估计相似。这项工作的结果被用于后续研究，该研究在美国邻近的多个盆地测试了其他数据驱动的方法。
This study synthesizes two different methods for estimating hydraulic conductivity (K) at large scales. We derive analytical approaches that estimate K and apply them to the contiguous United States. We then compare these analytical approaches to three‐dimensional, national gridded K data products and three transmissivity (T) data products developed from publicly available sources. We evaluate these data products using multiple approaches: comparing their statistics qualitatively and quantitatively and with hydrologic model simulations. Some of these datasets were used as inputs for an integrated hydrologic model of the Upper Colorado River Basin and the comparison of the results with observations was used to further evaluate the K data products. Simulated average daily streamflow was compared to daily flow data from 10 USGS stream gages in the domain, and annually averaged simulated groundwater depths are compared to observations from nearly 2000 monitoring wells. We find streamflow predictions from analytically informed simulations to be similar in relative bias and Spearman's rho to the geologically informed simulations.R‐squared values for groundwater depth predictions are close between the best performing analytically and geologically informed simulations at 0.68 and 0.70 respectively, with RMSE values under 10 m. We also show that the analytical approach derived by this study produces estimates of K that are similar in spatial distribution, standard deviation, mean value, and modeling performance to geologically‐informed estimates. The results of this work are used to inform a follow‐on study that tests additional data‐driven approaches in multiple basins within the contiguous United States.