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Impacts of environmental changes on terrestrial water storage in the Yellow River basin, China

Authors

Xu,  Yue-Ping
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Xie,  Jingkai
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Guo,  Yuxue
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Liu,  Li
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

Gu,  Haiting
IUGG 2023, General Assemblies, 1 General, International Union of Geodesy and Geophysics (IUGG), External Organizations;

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Citation

Xu, Y.-P., Xie, J., Guo, Y., Liu, L., Gu, H. (2023): Impacts of environmental changes on terrestrial water storage in the Yellow River basin, China, XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG) (Berlin 2023).
https://doi.org/10.57757/IUGG23-3166


Cite as: https://gfzpublic.gfz-potsdam.de/pubman/item/item_5020602
Abstract
Environmental changes including reservoir construction in the Yellow River induced instantaneous water redistribution over regions. In this study, it was attempted to detect the signal of changes in terrestrial water storage induced by soil conservation measures and reservoir operation etc. based on Gravity Recovery and Climate Experiment (GRACE) data. A modified index was proposed to assess the contributions of different environmental changes including human activities and climatic variability to changes in terrestrial water storage. The results showed that the impounding or releasing of water in/from the XLD reservoir and the LYX reservoir can be well detected by monthly GRACE data. Meanwhile there exists a substantial correlation between changes in TWS and reservoir water storage changes within both the catchment area above the LYX reservoir (rs = 0.88, p < 0.01) and the area above the XLD reservoir (rs = 0.86, p < 0.01). The modified index proposed in this study, which is an attribution index based on a variation analysis, showed that reservoir operation contributes greatly to changes in TWS especially for frequently reservoir-regulated regions.