Articles | Volume 29, issue 21
https://doi.org/10.5194/hess-29-6023-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-29-6023-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Nov 2025
Research article |
| 06 Nov 2025
| 06 Nov 2025
A novel framework for accurately quantifying wetland depression water storage capacity with coarse-resolution terrain data
Boting Hu
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China
University of Chinese Academy of Sciences, Beijing 100049, China
Liwen Chen
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China
Yanfeng Wu
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China
Jingxuan Sun
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China
University of Chinese Academy of Sciences, Beijing 100049, China
Y. Jun Xu
School of Renewable Natural Resources, Louisiana State University Agricultural Center, 227 Highland Road, Baton Rouge, LA 70803, USA
Qingsong Zhang
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China
University of Chinese Academy of Sciences, Beijing 100049, China
Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, Jilin 130102, China
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Reservoirs and wetlands are important regulators of watershed hydrology, which should be considered when projecting floods and droughts. We first coupled wetlands and reservoir operations into a semi-spatially-explicit hydrological model and then applied it in a case study involving a large river basin in northeast China. We found that, overall, the risk of future floods and droughts will increase further even under the combined influence of reservoirs and wetlands.
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Short summary
This study presents a novel framework for accurately quantifying wetland depression water storage capacity. The framework and its concept are transferable to other wetland areas in the world where field measurements or high-resolution terrain data are unavailable. Moreover, the framework provides accurate distributions and depth–area relations of wetland depressions, which can be incorporated in wetland modules of hydrological models to improve the accuracy of flow and storage predictions.
This study presents a novel framework for accurately quantifying wetland depression water...
