Affiliation:
1. School of Civil Engineering, Central South University, Changsha 410075, China
2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
3. School of Water Conservancy and Hydroelectric Power, Hebei Engineering University, Handan 056038, China
Abstract
Urban roads in China, particularly low-lying areas such as underpasses, tunnels, and culverts, are highly vulnerable to the dangers of urban pluvial flooding. We used spatial interpolation methods and limited measured data to assign elevation values to the road surface. The road network was divided into tiny squares, enabling us to calculate each square’s elevation, slope, and curvature. Statistical analysis was then employed to evaluate the impact of terrain on flood characteristics in urban road systems. Our analysis reveals a strong spatial correspondence between the distribution of flood-prone points and the curvature parameters of the terrain. The spatial coincidence rate can reach 100% when an appropriate sampling scale is chosen. The presence of depressions is necessary but insufficient for forming flood-prone points. In lowland/gentle slope (LL/GS) areas with higher drainage pressure, we observe a significant negative correlation between flood-prone points and terrain curvature (Spearman’s r = 0.205, p < 0.01). However, in highland/steep slope (HL/SS) areas, we find no significant correlation between them. Notably, terrain matters, but effective drainage is more influential in flood-prone areas. The maximum flood depth (MFD), submerged area, and ponding volume during urban pluvial flooding are constrained by depression topography, while the characteristics of the upstream catchment area also play a role in determining the MFD and flood peak lag time(FPLT). Larger upstream catchment areas and longer flow paths normally result in greater MFD and longer emergency response times/FPLT. Additionally, a higher flow path gradient will directly contribute to an increased flood risk (greater MFD and shorter FPLT). These findings have important implications for flood risk identification and the development of effective flood mitigation strategies.
Funder
Young Scientists Fund of the National Natural Science Foundation of China
National Key Research and Development (R&D) Program Project
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference93 articles.
1. A large-scale waterlogging investigation in a megacity;Liu;Nat. Hazards,2022
2. Risk assessment for people and vehicles in an extreme urban flood: Case study of the “7.20” flood event in Zhengzhou, China;Dong;Int. J. Disaster Risk Reduct.,2022
3. Flood risk and its reduction in China;Kundzewicz;Adv. Water Resour.,2019
4. Ministry of Housing and Urban-Rural Development of the People’s Republic of China (2017). Technical Code for Urban Flooding Prevention and Control.
5. Operational and emerging capabilities for surface water flood forecasting;Speight;Wiley Interdiscip. Rev.-Water,2021
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