Street Community-Level Urban Flood Risk Assessment Based on Numerical Simulation

Cailin Li, Yue Wang, Baoyun Guo, Yihui Lu () and Na Sun
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Cailin Li: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
Yue Wang: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
Baoyun Guo: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China
Yihui Lu: Geographic Information Engineering, Shandong Provincial Institute of Land Surveying and Mapping, Jinan 250102, China
Na Sun: School of Civil Engineering and Geomatics, Shandong University of Technology, Zibo 255000, China

Sustainability, 2024, vol. 16, issue 16, 1-32

Abstract: Urban waterlogging is a serious urban disaster, which brings huge losses to the social economy and environment of the city. As an important means of urban rainfall inundation analysis, numerical simulation plays an important role in promoting the risk assessment of urban waterlogging. Scientific and accurate assessment of waterlogging disaster losses is of scientific significance for the formulation of disaster prevention and mitigation measures and the guidance of post-disaster recovery and reconstruction. In this study, the SCS-CN hydrological model and GIS coupling numerical simulation method were used to simulate the inundation of urban waterlogging under four different rainfall return periods and to realize the visualization of the inundation range and waterlogging depth in Zhengzhou. At the same time, based on the numerical simulation results, the building is used as the basic assessment unit to construct a refined assessment framework for urban waterlogging risk at the street community level based on hazard, exposure, and vulnerability analysis. The refined risk assessment results have an important reference value for optimizing the working ideas of waterlogging control and providing a reference for local management departments to effectively deal with waterlogging disasters.

Keywords: SCS-CN model; risk assessment; refinement; street community scale (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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