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The potential of GRACE gravimetry to detect the heavy rainfall‐induced impoundment of a small reservoir in the upper Y ellow R iver
Author(s) -
Yi Shuang,
Song Chunqiao,
Wang Qiuyu,
Wang Linsong,
Heki Kosuke,
Sun Wenke
Publication year - 2017
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/2017wr020793
Subject(s) - water storage , precipitation , gravimetry , satellite , environmental science , altimeter , water level , hydrology (agriculture) , specific gravity , series (stratigraphy) , signal (programming language) , geology , remote sensing , meteorology , geomorphology , geotechnical engineering , mineralogy , geography , paleontology , programming language , computer science , cartography , aerospace engineering , engineering , inlet , reservoir modeling
Artificial reservoirs are important indicators of anthropogenic impacts on environments, and their cumulative influences on the local water storage will change the gravity signal. However, because of their small signal size, such gravity changes are seldom studied using satellite gravimetry from the Gravity Recovery and Climate Experiment (GRACE). Here we investigate the ability of GRACE to detect water storage changes in the Longyangxia Reservoir (LR), which is situated in the upper main stem of the Yellow River. Three different GRACE solutions from the CSR, GFZ, and JPL with three different processing filters are compared here. We find that heavy precipitation in the summer of 2005 caused the LR water storage to increase by 37.9 m in height, which is equivalent to 13.0 Gt in mass, and that the CSR solutions with a DDK4 filter show the best performance in revealing the synthetic gravity signals. We also obtain 109 pairs of reservoir inundation area measurements from satellite imagery and water level changes from laser altimetry and in situ observations to derive the area‐height ratios for the LR. The root mean square of GRACE series in the LR is reduced by 39% after removing synthetic signals caused by mass changes in the LR or by 62% if the GRACE series is further smoothed. We conclude that GRACE data show promising potential in detecting water storage changes in this ∼400 km 2 reservoir and that a small signal size is not a restricting factor for detection using GRACE data.