Articles | Volume 25, issue 11
https://doi.org/10.5194/hess-25-6023-2021
© Author(s) 2021. 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-25-6023-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
The impact of wind on the rainfall–runoff relationship in urban high-rise building areas
Xichao Gao
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK
Zhiyong Yang
CORRESPONDING AUTHOR
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
Dawei Han
Department of Civil Engineering, University of Bristol, Bristol, BS8 1TR, UK
Kai Gao
State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
School of Civil Engineering, Southeast University, Nanjing, 211189, China
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Cited
14 citations as recorded by crossref.
- Hybrid rainfall–runoff model with continuous infiltration experiments: a Mediterranean coastal basin of Madjez Ressoul in Algeria A. Dahak et al. 10.1007/s41207-024-00674-1
- Stochastic simulation and characteristic dependence analysis of urban short-duration rainstorms H. Xiao et al. 10.1016/j.jhydrol.2023.129831
- Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al. 10.1016/j.jhydrol.2025.133333
- Numerical simulation of the impact of rainfall on tunnel fire D. Luan et al. 10.1016/j.csite.2024.105186
- Plot-size runoff and sediment yield affected by the type of geological formations and implications for water erosion in a semi-arid region R. Mostafazadeh et al. 10.1007/s40808-023-01813-3
- Hydrological signatures in Brazilian catchments: a machine learning approach for spatial estimates G. de Oliveira Correa et al. 10.1080/02626667.2024.2446265
- Recent advances and future challenges in urban pluvial flood modelling L. Cea et al. 10.1080/1573062X.2024.2446528
- Remote sensing for healthy vegetation on green roofs W. Liao et al. 10.1038/s44284-025-00331-w
- Measuring urban waterlogging depths from video images based on reference objects K. Gao et al. 10.1111/jfr3.12948
- A calibration method for SWMM to mitigate the impact of the structure defect without considering runoff on building walls Z. Xu et al. 10.3389/fevo.2023.1212501
- Impact of 2D and 3D factors on urban flooding: Spatial characteristics and interpretable analysis of drivers Y. Wang et al. 10.1016/j.watres.2025.123537
- Refined ISO model for wind-driven rain (WDR) on buildings: Machine learning-based approach P. Gholamalipour et al. 10.1016/j.buildenv.2025.113522
- Measuring urban waterlogging depth from video images using human body models K. Gao et al. 10.1016/j.measurement.2025.119086
- Hydrological signatures in Brazilian catchments: a machine learning approach for spatial estimates G. de Oliveira Corrêa et al. 10.1080/02626667.2024.2446265
13 citations as recorded by crossref.
- Hybrid rainfall–runoff model with continuous infiltration experiments: a Mediterranean coastal basin of Madjez Ressoul in Algeria A. Dahak et al. 10.1007/s41207-024-00674-1
- Stochastic simulation and characteristic dependence analysis of urban short-duration rainstorms H. Xiao et al. 10.1016/j.jhydrol.2023.129831
- Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al. 10.1016/j.jhydrol.2025.133333
- Numerical simulation of the impact of rainfall on tunnel fire D. Luan et al. 10.1016/j.csite.2024.105186
- Plot-size runoff and sediment yield affected by the type of geological formations and implications for water erosion in a semi-arid region R. Mostafazadeh et al. 10.1007/s40808-023-01813-3
- Hydrological signatures in Brazilian catchments: a machine learning approach for spatial estimates G. de Oliveira Correa et al. 10.1080/02626667.2024.2446265
- Recent advances and future challenges in urban pluvial flood modelling L. Cea et al. 10.1080/1573062X.2024.2446528
- Remote sensing for healthy vegetation on green roofs W. Liao et al. 10.1038/s44284-025-00331-w
- Measuring urban waterlogging depths from video images based on reference objects K. Gao et al. 10.1111/jfr3.12948
- A calibration method for SWMM to mitigate the impact of the structure defect without considering runoff on building walls Z. Xu et al. 10.3389/fevo.2023.1212501
- Impact of 2D and 3D factors on urban flooding: Spatial characteristics and interpretable analysis of drivers Y. Wang et al. 10.1016/j.watres.2025.123537
- Refined ISO model for wind-driven rain (WDR) on buildings: Machine learning-based approach P. Gholamalipour et al. 10.1016/j.buildenv.2025.113522
- Measuring urban waterlogging depth from video images using human body models K. Gao et al. 10.1016/j.measurement.2025.119086
Latest update: 21 Oct 2025
Short summary
We proposed a theoretical framework and conducted a laboratory experiment to understand the relationship between wind and the rainfall–runoff process in urban high-rise building areas. The runoff coefficient (relating the amount of runoff to the amount of precipitation received) found in the theoretical framework was close to that found in the laboratory experiment.
We proposed a theoretical framework and conducted a laboratory experiment to understand the...