GROUNDWATER STORAGE CHANGE ESTIMATION USING GRACE SATELLITE DATA IN INDUS BASIN

M. Salam, M. Cheema, Wanchang Zhang, S. Hussain, Azeem Khan, M. Bilal, A. Arshad, Sikandar Ali, M. A. Zaman
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引用次数: 12

Abstract

Over exploitation of Ground Water (GW) has resulted in lowering of water table in the Indus Basin. While waterlogging, salinity and seawater intrusion has resulted in rising of water table in Indus Basin. The sparse piezometer network cannot provide sufficient data to map groundwater changes spatially. To estimate groundwater change in this region, data from Gravity Recovery and Climate Experiment (GRACE) satellite was used. GRACE measures (Total Water Storage) TWS and used to estimate groundwater storage change. Net change in storage of groundwater was estimated from the change in TWS by including the additional components such as Soil Moisture (SM), Surface water storage (Qs) and snowpack equivalent water (SWE). For the estimation of these components Global Land Data Assimilation system (GLDAS) Land Surface Models (LSMs) was used. Both GRACE and GLDAS produce results for the Indus Basin for the period of April 2010 to January 2017. The monitoring well water-level records from the Scarp Monitoring Organization (SMO) and the Punjab Irrigation and Drainage Authority (PIDA) from April 2009 to December 2016 were used. The groundwater results from different combinations of GRACE products GFZ (GeoforschungsZentrum Potsdam) CSR (Center for Space Research at University of Texas, Austin) JPL (Jet Propulsion Laboratory) and GLDAS LSMs (CLM, NOAH and VIC) are calibrated (April 2009-2014) and validated (April 2015-April 2016) with in-situ measurements. For yearly scale, their correlation coefficient reaches 0.71 with Nash-Sutcliffe Efficiency (NSE) 0.82. It was estimated that net loss in groundwater storage is at mean rate of 85.01 mm per year and 118,668.16 Km3 in the 7 year of study period (April 2010-Jan 2017). GRACE TWS data were also able to pick up the signals from the large-scale flooding events observed in 2010 and 2014. These flooding events played a significant role in the replenishment of the groundwater system in the Indus Basin. Our study indicates that the GRACE based estimation of groundwater storage changes is skillful enough to provide monthly updates on the trend of the groundwater storage changes for resource managers and policy makers of Indus Basin.
利用grace卫星数据估算印度河流域地下水储量变化
地下水的过度开采导致了印度河流域地下水位的下降。而内涝、盐渍化和海水入侵导致印度河流域地下水位上升。稀疏的测压网不能提供足够的数据来绘制地下水的空间变化图。利用GRACE (Gravity Recovery and Climate Experiment)卫星数据估算该区域地下水变化。GRACE测量总储水量TWS,用于估算地下水储水量变化。通过考虑土壤水分(SM)、地表水储量(Qs)和积雪当量水(SWE)等附加分量,从TWS变化中估算了地下水储量的净变化。为了估算这些分量,使用了全球陆地数据同化系统(GLDAS)的陆地表面模型(LSMs)。GRACE和GLDAS都为2010年4月至2017年1月的印度河流域提供了结果。使用了陡坡监测组织(SMO)和旁遮普灌溉和排水局(PIDA) 2009年4月至2016年12月的监测井水位记录。利用不同组合的GRACE产品(GFZ (GeoforschungsZentrum Potsdam)、CSR(德克萨斯大学奥斯汀分校空间研究中心)、JPL(喷气推进实验室)和GLDAS LSMs (CLM、NOAH和VIC)对地下水进行了校准(2009年4月-2014年4月)和原位测量验证(2015年4月- 2016年4月)。在年尺度上,二者的相关系数为0.71,NSE为0.82。在7年的研究期间(2010年4月至2017年1月),估计地下水储存的净损失平均为每年85.01 mm, 118,668.16 Km3。GRACE TWS数据还能够从2010年和2014年观测到的大规模洪水事件中获取信号。这些洪水事件在印度河流域地下水系统的补充中发挥了重要作用。研究表明,基于GRACE的地下水库存量变化估算方法可以为印度河流域的资源管理者和决策者提供每月更新的地下水库存量变化趋势。
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