Articles | Volume 30, issue 13
https://doi.org/10.5194/hess-30-4321-2026
© Author(s) 2026. 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-30-4321-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jul 2026
Research article |
| 14 Jul 2026
| 14 Jul 2026
Beyond Runoff Coefficient: Revealing Global Patterns of Process Connectivity in Runoff Generation through Intensity Integration
Hanxu Liang
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
Jiayu Zhang
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
Yuling Zhang
State Key Laboratory of Water Resources Engineering and Management, Wuhan University, Wuhan, China
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Short summary
We develop a novel framework to assess process connectivity in runoff generation through intensity integration. Applying this framework to 6,603 catchments globally over 1950–2020, we quantify the spatial patterns of process connectivity, diagnose their influencing factors, and examine their long-term trends and event-scale responses to precipitation intensity. Our findings enhance the understanding of runoff generation processes under the changing environment.
We develop a novel framework to assess process connectivity in runoff generation through...
