论文标题
使用宽限数据估算印度河流域的地下水储存变化
Estimation of Groundwater Storage Variations in Indus River Basin using GRACE Data
论文作者
论文摘要
地下水储存〜（GWS）的耗竭和变化对于可持续地下水管理至关重要。在这项工作中，我们使用重力恢复和气候实验（GRACE）来估计陆地储水〜（TWS）的变化，并与全球土地数据同化系统〜（GLDAS）数据一起使用它来提取Indus River Basin〜（IRB）的GWS变化。我们提出了一个数据处理框架，该框架处理并结合了这些数据集，以提供GWS更改的估计。我们还介绍了带有限制的最佳集中窗口函数的设计，用于在感兴趣区域中数据的空间定位。我们为IRB区域构建了所谓的最佳窗口，并在我们的处理框架中使用它来分析2005年至2015年的GWS变化。我们的分析揭示了GWS的预期季节性变化，并表示平均在此期间的地下水耗尽。我们提出的处理框架可用于分析TWS和GWS中任何感兴趣区域的时空变化。
The depletion and variations of groundwater storage~(GWS) are of critical importance for sustainable groundwater management. In this work, we use Gravity Recovery and Climate Experiment (GRACE) to estimate variations in the terrestrial water storage~(TWS) and use it in conjunction with the Global Land Data Assimilation System~(GLDAS) data to extract GWS variations over time for Indus river basin~(IRB). We present a data processing framework that processes and combines these data-sets to provide an estimate of GWS changes. We also present the design of a band-limited optimally concentrated window function for spatial localization of the data in the region of interest. We construct the so-called optimal window for the IRB region and use it in our processing framework to analyze the GWS variations from 2005 to 2015. Our analysis reveals the expected seasonal variations in GWS and signifies groundwater depletion on average over the time period. Our proposed processing framework can be used to analyze spatio-temporal variations in TWS and GWS for any region of interest.
