Identification of Spatiotemporal Variations and Influencing Factors of Groundwater Drought Based on GRACE Satellite
The Gravity Recovery and Climate Experiment (GRACE) tracks drought events by detecting changes in the global gravitational field and capturing abnormal information on the reserves of surface water, soil water, and groundwater, which makes it possible for a more comprehensive and unified global and regional monitoring of groundwater drought. This study adopted the gravity satellite GRACE data and combined it with the hydrological model dataset. Additionally, we assessed the temporal evolution and spatial pattern of groundwater drought in the Yangtze River Basin (YRB) and its sub-basins from 2003 to 2022, determined the change points of the hidden seasonal and trend components in groundwater drought, and identified the direct/indirect driving contributions of the main climatic and circulation factors to groundwater drought. The results show that (1) as a normalized index, the groundwater drought index (GDI) can reflect direct evidence of any surplus and deficit in groundwater availability. During the study period, the minimum value (−1.66) of the GDI occurred in July 2020 (severe drought). (2) The average value of GDI in the entire basin ranged from −1.66 (severe drought) to 0.52 (no drought). (3) The average Zs values (Mann–Kendall Z-statistic) of GDI were −0.23, −0.16, −0.43, and 0.14, respectively, and the proportions of areas with aggravated drought reached 65.21%, 61.05%, 89.70% and 43.67%, respectively. (4) Partial wavelet coherence analysis can simultaneously reveal the local correlations of time series at different time scales and frequencies. Based on partial wavelet analysis, precipitation was the best factor for explaining the dynamic changes in groundwater drought. (5) The North Pacific Index (NPI), the Pacific/North American Index (PNA), and the Sunspot Index (SSI) can serve as the main predictors that can effectively capture the drought changes in groundwater in the YRB. The GRACE satellite can provide a new tool for monitoring, tracking, and assessing groundwater drought situations, which is of great significance for guiding the development of the drought early warning system in the YRB and effectively preventing and responding to drought disasters.
Authors
- Shengzhi Huang (ORCID: https://orcid.org/0000-0001-7592-5268)
- Hexin Lai
- Qingqing Tian (ORCID: https://orcid.org/0000-0002-3647-043X)
- Mengting Du
- Weiran Luo (ORCID: https://orcid.org/0000-0003-2041-5062)
- Ruyi Men
- Fei Wang (ORCID: https://orcid.org/0000-0001-5036-1363)
- Guo Jianzhong
- Ziwei Li (ORCID: https://orcid.org/0009-0006-4859-3345)
- Yanbin Li
- Ning Li
- Qian Xu
- Kai Feng
- Rong Li
Institutions
- Henan University (CN)
- North China University of Water Resources and Electric Power (CN)
- State Key Laboratory of Remote Sensing Science (CN)
Publication Details
- Journal
- Agriculture
- Published
- 2025-12-21
- DOI
- https://doi.org/10.3390/agriculture16010020
- Primary Topic
- Geophysics and Gravity Measurements
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Water Resources
- State Key Laboratory of Geo-Information Engineering