Ab'/> Quantitative mapping of groundwater depletion at the water management scale using a combined GRACE/InSAR approach
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Quantitative mapping of groundwater depletion at the water management scale using a combined GRACE/InSAR approach

机译:利用恩典/ insar方法对水管理规模进行地下水耗尽的定量映射

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AbstractGRACE gravity variation recovery and InSAR-derived ground displacement data show promise in supporting and assessing groundwater management policies. However, GRACE system's resolution is too low, and the inversion of InSAR data into volume of groundwater storage loss requires extensive and often unavailable lithological data. Here we present how InSAR can be used to constrain and spatially focus GRACE-derived groundwater mass loss to depletion areas, reducing the gap between the GRACE scale and the typical water management scales. While we highlight the tremendous potential of a fully geodetic, quantitative, and high resolution mapping of groundwater storage loss, we also point out the crucial need for producing guidelines on the proper GRACE solution to use for any study area and/or application.In order to illustrate the GRACE/InSAR combination procedure, we present a case study in Central Mexico, where groundwater depletion of ~5000Million Cubic Meters per year (MCM/yr) is reported by the water governance agencies and is well documented in the scientific literature. However, in this region, not all GRACE solutions provide reasonable groundwater depletion estimates. Using two of them, an inversion is performed to focus the groundwater-related GRACE signal over different mass distribution maps. Several mass distributions are tested, including two from InSAR-derived aquifer compaction mapping. The results show that the regions of Mexico City and Bajio, an agricultural and industrial corridor 250km North of Mexico City, are the main contributors to the regional groundwater depletion. The mass distribution map produ
机译:<![cdata [ 抽象 Grace重力变化恢复和Insar导出的地面位移数据显示支持和评估地下水管理政策。然而,Grace系统的分辨率太低,insar数据的反转变为地下水储存损失的体积需要广泛且通常不可用的岩性数据。在这里,我们提出了如何用来限制和空间上对焦地聚焦的稀有地下水大量损失,从而降低典型规模与典型水管理尺度之间的差距。虽然我们突出了完全大地测量,定量和高分辨率绘制的地下水储存损失的巨大潜力,但我们还指出了在适当的恩典解决方案上生产准则,以用于任何研究区域和/或应用的关键需求。 为了说明Grace / Insar组合程序,我们在墨西哥中部提供了一个案例研究,地下水耗尽〜5000万立方水治理机构报告每年米(MCM / YR),并在科学文献中凭借详细信息。但是,在该地区,并非所有恩典解决方案都提供合理的地下水耗尽估计。使用其中两个,执行反演以将地下水相关的恩典信号集中在不同的质量分布图上。测试了几种质量分布,包括来自Insar衍生的含水层压缩映射的两个。结果表明,墨西哥城墨西哥城和百吉(墨西哥城以北250km)的地区是区域地下水枯竭的主要贡献者。批量分销图Produ

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