Improved Resolution of Drought Monitoring in the Yellow River Basin Based on a Daily Drought Index Using GRACE Data
Frequent droughts significantly threaten economic development, necessitating effective long-term drought monitoring. The Gravity Recovery and Climate Experiment (GRACE) satellite and its follow-on mission along with Global Navigation Satellite System (GNSS) inversion technologies provide long-term terrestrial water storage signals. However, their limitations in temporal resolution and spatial continuity are inadequate for current requirements. To solve this problem, this study combines a daily terrestrial water storage anomaly (TWSA) reconstruction method with the GNSS inversion technique to explore daily, spatially continuous TWSA in China’s Yellow River Basin (YRB). Furthermore, the Daily Drought Severity Index (DDSI) is employed to analyze drought dynamics in the YRB. Finally, by reconstructing the climate-driven water storage anomalies model, this study explores the influence of climate and human factors on drought. The results indicate the following: (1) The reconstructed daily TWSA product demonstrates superior quality compared to other available products and exhibits a discernible correlation with GNSS-derived daily TWSA data, while REC_TWSA is closer to the GRACE-based TWSA dataset. (2) The DDSI demonstrates superior drought monitoring capabilities compared to conventional drought indices. During the observation period from 2004 to 2021, the DDSI detected the most severe drought event occurring between 30 October 2010 and 10 September 2011. (3) Human activities become the primary driver of drought in the YRB. The high correlation of 0.81 between human-driven water storage anomalies and groundwater storage anomalies suggests that the depletion of TWSA is due to excessive groundwater extraction by humans. This study aims to provide novel evidence and methodologies for understanding drought dynamics and quantifying human factors in the YRB.
Authors
- Shengkun Nie (ORCID: https://orcid.org/0009-0002-3308-8347)
- Lei Weiwei
- Yingying Li (ORCID: https://orcid.org/0000-0001-8675-8151)
- Wei Zheng (ORCID: https://orcid.org/0000-0002-6852-8966)
- Wenjie Yin (ORCID: https://orcid.org/0000-0002-8115-1980)
- Hanwei Zhang (ORCID: https://orcid.org/0000-0002-1675-7572)
Institutions
- Liaoning Technical University (CN)
- Ministry of Ecology and Environment (CN)
- Harbin Institute of Technology (CN)
- Henan Polytechnic University (CN)
Publication Details
- Journal
- Water
- Published
- 2025-04-22
- DOI
- https://doi.org/10.3390/w17091245
- Primary Topic
- Environmental Changes in China
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China