ISPRS-Annals ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-X-3-W1-2022-177-2022 DIFFERENTIAL SEMI-QUANTITATIVE URBAN RISK ASSESSMENT OF STORM SURGE INUNDATION Wang Y. https://orcid.org/0000-0003-3360-5842 1 Chen X. 1 Wang L. 1 School of Computer Science, China University of Geosciences, Wuhan, Hubei, 430078, P.R. China 27 10 2022 X-3/W1-2022 177 185 Copyright: © 2022 Y. Wang et al. 2022 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/X-3-W1-2022/177/2022/isprs-annals-X-3-W1-2022-177-2022.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/X-3-W1-2022/177/2022/isprs-annals-X-3-W1-2022-177-2022.pdf

Storm surge inundation hazards annually cause billions in economic losses globally, and millions of coastal residents live in danger. Properly understanding and assessing storm surge inundation are essential measures to guarantee the sustainable construction of coastal cities. In this paper, a differentiated urban risk semi-quantitative assessment method for storm surge inundation is proposed to evaluate the risk of storm surge hazard causing inundation to the coastal city. The Finite Volume Community Ocean Model (FVCOM) and the Jelesnianski model restore the historical storm surge cases to reveal hazards. The point of interest data and the urban land use and land cover data are utilized to assess the vulnerability of the coastal city, and a differentiated risk assessment method is proposed to evaluate the risks for urban facilities in the hazard. As an illustration, the method is utilized to assess storm surge Mangkhut in 2018 in Shenzhen, Guangdong Province, China. The vulnerability of the Shenzhen downtown area is assessed and designed as a map to visualize the strategic area. According to numerical simulation and inundation region mapping, the danger and the risk assessment map are made to intuitively present the distribution of the hazard-affected region.