利用GRACE卫星和SENTINEL-1监测甘加河流域的地下水储存盆地和水文变化

A. Galodha, N. S. Kayithi, D. Sharma, P. Jain
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引用次数: 0

摘要

摘要在世界许多地区,与地下水枯竭有关的沉降是一个重大问题。它可以永久性地减少蓄水层中储存的地下水量,甚至对地球表面造成结构性破坏。印度西北部地区的恒河盆地也不例外,2018年至2023年间发生了约一米的沉降。然而,理解地下水数量变化与地面变形之间的联系一直是一项挑战。我们使用InSAR的地表位移测量和GRACE卫星对的重力地面蓄水量估计来表征恒河流域内的水文动力学。Sentinel-1被用于绘制淹没区内整个恒河流域的地图。InSAR时间序列显示出连贯的短期变化,当去除长期含水层压实时,这些变化与水文特征相吻合。例如,在2018年至2019年和2021年至2022年的冬季,在流入盆地东南边缘的多条河流和溪流的汇合处可以看到隆起。对水量的月度空间变化进行成像是基于这些数据和Sentinel-1和GRACE卫星轨道质量变化的计算。我们甚至使用机器学习技术作为评估方法,使InSAR与重力数据集快速、令人信服地结合起来变得简单,这将有助于推动全球更好地了解和管理地下水资源。
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MONITORING GROUNDWATER STORAGE BASINS AND HYDROLOGICAL CHANGES USING THE GRACE SATELLITE AND SENTINEL-1 FOR THE GANGA RIVER BASIN
Abstract. Groundwater depletion-related subsidence is a significant issue in many parts of the world. It can permanently reduce the amount of groundwater stored in an aquifer and even cause structural damage to the Earth’s surface. The Ganga Basin in the northwestern region of India is no exception, with around a meter of subsidence occurring between 2018 and 2023. However, understanding the connection between variations in groundwater quantities and ground deformation has been challenging. We used surface displacement measurements from InSAR and gravimetric terrestrial water storage estimates from the GRACE satellite pair to characterize the hydrological dynamics within the Ganga Basin. Sentinel-1 was used to map the entire Ganga River basin in the inundated zone. The InSAR time series shows coherent short-term changes that coincide with hydrological features when the long-term aquifer compaction is removed. For instance, an uplift is seen at the confluence of multiple rivers and streams that drain into the southeastern margin of the basin in the winters of 2018–2019 and 2021–2022. Imaging the monthly spatial variations in water volumes is based on these data and calculations of mass changes from the orbiting of Sentinel-1 and GRACE satellites. We even employ machine learning techniques as evaluative methods to make it simple to combine InSAR quickly and convincingly with gravimetric datasets, which will help advance global efforts to understand better and manage groundwater resources.
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CiteScore
1.70
自引率
0.00%
发文量
949
审稿时长
16 weeks
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