Permeability control and flood risk assessment of urban underlying surface: a case study of Runcheng south area, Kunming

Tong Xu, Zhiqiang Xie (), Fei Zhao, Yimin Li, Shouquan Yang, Yangbin Zhang, Siqiao Yin, Shi Chen, Xuan Li, Sidong Zhao and Zhiqun Hou
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Tong Xu: Yunnan University
Zhiqiang Xie: Yunnan University
Fei Zhao: Yunnan University
Yimin Li: Yunnan University
Shouquan Yang: Yunnan University
Yangbin Zhang: Yunnan University
Siqiao Yin: Yunnan University
Shi Chen: Kunming Dianchi Investment Co., Ltd
Xuan Li: Kunming Drainage Facilities Management Co., Ltd
Sidong Zhao: Kunming Drainage Facilities Management Co., Ltd
Zhiqun Hou: Kunming Urban Underground Space Planning and Management Office

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2022, vol. 111, issue 1, No 29, 686 pages

Abstract: Abstract Because of climate change and rapid urbanization, urban impervious underlying surfaces have expanded, causing Chinese cities to become strongly affected by flood disasters. Therefore, research on urban flood risks has greatly increased over the past decade, with studies focusing on reducing the risk of flood disaster. From 2012 to 2020, the impervious underlying surface has increased, and the permeable underlying surface has decreased annually in Kunming City. This study was conducted to investigate the impact of continuous changes in the urban underlying surface on flood disasters in the Runcheng area south of Kunming City from 2012 to 2020. We constructed a two-dimensional flood model to conduct flood simulations and flood risk analysis for this area. The relationship between the permeability of the underlying surface and urban flood risk was simulated and analyzed by varying the urban underlying surface permeability (0–60%). The simulation results show that the model can accurately simulate urban waterlogging, and the increase in urban waterlogging risk is related to the underlying surface permeability. Urban flood risk decreases with the increase in permeable underlying surface. The increase rate of flood risk in the part with permeability of 0–35% is greater than that the part with permeability of 35–60%, that is, when the permeability of underlying surface is lower than 35%, the flood risk rate will be higher. We demonstrated the impact of the urban underlying surface permeability on the risk of urban flood disasters, which is useful for urban planning decisions and urban flooding risk controls.

Keywords: Urbanization; Urban flood disaster; Flood risk analysis; Permeable underlying surface; Hydro-hydrodynamic model (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11069-021-05072-2

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