Evidence map›Paper›PMID 42144419›Full record

ArticleScientific reports2026

Quantifying groundwater storage dynamics during the 2024 flood season using GRACE-FO and multi-source hydrological data in Hunan Province, China.

Fan Lei, Jingwen Zhou, Kaijun Yang, Jide Wei, Li Cao, Fang Hu, Zhe Zhang, Yulong Zhong

Abstract read
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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Fan LeiThe Second Surveying and Mapping Institute of Hunan Province, Changsha, 410029, China.
Jingwen ZhouSchool of Geography and Information Engineering, China University of Geosciences (Wuhan), Wuhan, 430078, China. zhoujingwen@cug.edu.cn.
Kaijun YangThe Second Surveying and Mapping Institute of Hunan Province, Changsha, 410029, China.
Jide WeiThe Second Surveying and Mapping Institute of Hunan Province, Changsha, 410029, China.
Li CaoThe Second Surveying and Mapping Institute of Hunan Province, Changsha, 410029, China.
Fang HuThe Second Surveying and Mapping Institute of Hunan Province, Changsha, 410029, China.
Zhe ZhangThe Second Surveying and Mapping Institute of Hunan Province, Changsha, 410029, China.
Yulong ZhongKey Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha, 410029, China.

Funding

he Natural Science Foundation of China Nos. 42374032Natural Science Foundation of Hunan Province 2024JJ8348the Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources NRMSSHR2024Z02
6 · The paper itself

Abstract

Groundwater is a vital component of the hydrological cycle, and understanding its dynamics is crucial for water resource management under climate change. This study employs GRACE-FO satellite data to assess groundwater storage (GWS) dynamics in Hunan Province during the 2024 flood season (April-September). Given the abundant surface water resources in this region, we explicitly incorporate the water storage of Dongting Lake and 28 large reservoirs when calculating surface water storage anomaly (SWSA), which is crucial for estimating the GWS anomaly (GWSA). Accordingly, GWSA is obtained by subtracting the soil moisture storage anomaly (SMSA) and SWSA from the GRACE-FO-derived terrestrial water storage anomaly (TWSA). Furthermore, correlation coefficients and contribution of each water storage component to TWSA are calculated to reveal inter-component interactions and response mechanisms to precipitation. Results show that original TWSA, SWSA, and GWSA increase markedly from March to July 2024. After detrending and deseasonalizing, SWSA and GWSA exhibit a complementary relationship (correlation coefficient: -0.20), with changes of -3.08 km

Indexed as

Flood seasonGRACE-FOGroundwater storage anomalyHunan ProvinceReservoirs and Dongting Lake

Identifiers

PMID42144419
PMCPMC13377069

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.