Articles | Volume 29, issue 23
https://doi.org/10.5194/hess-29-7149-2025
© 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-29-7149-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Dec 2025
Research article |
| 12 Dec 2025
| 12 Dec 2025
A multiple spatial scales water use simulation for capturing its spatial heterogeneity through cellular automata model
Jiayu Zhang
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
Dedi Liu
CORRESPONDING AUTHOR
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
Hubei Provincial Key Lab of Water System Science for Sponge City Construction, Wuhan University, Wuhan, China
Department of Earth Science, University of the Western Cape, Robert Sobukwe Road, Bellville 7535, Republic of South Africa
Jiaoyang Wang
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
Feng Yue
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
Hanxu Liang
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
Zhengbo Peng
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
Wei Guan
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
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Short summary
Water use is often estimated with coarse data that overlook spatial heterogeneity, limiting effective water planning. This study proposes a framework to simulate water use at multiple spatial scales across China, combining a grid-based approach and uncertainty analysis. It finds that both the model structure and spatial scale affect. The framework reveals detailed patterns in water use and can guide smarter water resources management.
Water use is often estimated with coarse data that overlook spatial heterogeneity, limiting...
