Scenario-Based Projections and Assessments of Future Terrestrial Water Storage Imbalance in China
The combined effects of climate change and socio-economic development have intensified the risk of water supply–demand imbalance in China. To project future trends, this study develops a multi-scenario coupled prediction framework integrating climate, socio-economic, and human activity drivers, combining data-driven and physically based modeling approaches to assess terrestrial water storage imbalance in nine major river basins under six representative SSP–RCP scenarios through the end of the 21st century. Using ISIMIP multi-model runoff outputs along with GDP and population projections, agricultural, industrial, and domestic water demands were estimated. A Water Conflict Index was proposed by integrating the Water Supply–Demand Stress Index and the Standardized Hydrological Runoff Index to identify high-risk basins. Results show that under high-emission scenarios, the WCI in the Yellow River, Hai River, and Northwest Rivers remains high, peaking during 2040–2069, while low-emission scenarios significantly alleviate stress in most basins. Water allocation inequity is mainly driven by insufficient supply in arid northern regions and limited redistribution capacity in resource-rich southern basins. Targeted strategies are recommended for different risk types, including inter-basin water transfer, optimization of water use structure and pricing policies, and the development of resilient management systems, providing scenario-based quantitative support for future water security and policy-making in China.
Authors
- Renke Ji (ORCID: https://orcid.org/0000-0001-5076-957X)
- Hao Qin (ORCID: https://orcid.org/0000-0001-8137-2524)
- Jingjing Liu (ORCID: https://orcid.org/0000-0003-1714-3705)
- Jing Zhang (ORCID: https://orcid.org/0000-0001-5735-8132)
- Chao Wang
- Yingwei Ge
Institutions
- Changjiang Water Resources Commission (CN)
- Wuhan University (CN)
- Changjiang Institute of Survey, Planning, Design and Research (CN)
- State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing (CN)
Publication Details
- Journal
- Water
- Published
- 2026-01-08
- DOI
- https://doi.org/10.3390/w18020169
- Primary Topic
- Hydrology and Watershed Management Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Wuhan University
- National Key Research and Development Program of China