Rapid Damage Prediction and Risk Assessment for Tropical Cyclones at a Fine Grid in Guangdong Province, South China

被引:5
作者
Ning, Yazhou [1 ,2 ]
Wang, Xianwei [1 ,2 ,3 ]
Yu, Qi [1 ,2 ]
Liang, Du [1 ,2 ]
Zhai, Jianqing [4 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510275, Peoples R China
[2] Guangdong Prov Engn Res Ctr Publ Secur & Disasters, Guangzhou 510275, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
[4] China Meteorol Adm, Natl Climate Ctr, Beijing 100081, Peoples R China
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
Damage prediction; Holland model; Risk assessment; South China; Tropical cyclones; Wind disasters; DISASTER RISK; VULNERABILITY; HAZARDS; REDUCTION; PRESSURE; EXPOSURE;
D O I
10.1007/s13753-023-00485-y
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Rapid damage prediction for wind disasters is significant in emergency response and disaster mitigation, although it faces many challenges. In this study, a 1-km grid of wind speeds was simulated by the Holland model using the 6-h interval records of maximum wind speed (MWS) for tropical cyclones (TC) from 1949 to 2020 in South China. The MWS during a TC transit was used to build damage rate curves for affected population and direct economic losses. The results show that the Holland model can efficiently simulate the grid-level MWS, which is comparable to the ground observations with R-2 of 0.71 to 0.93 and mean absolute errors (MAEs) of 3.3 to 7.5 m/s. The estimated damage rates were in good agreement with the reported values with R-2 = 0.69-0.87 for affected population and R-2 = 0.65-0.84 for GDP loss. The coastal areas and the Guangdong-Hong Kong-Macao Greater Bay Area have the greatest risk of wind disasters, mainly due to the region's high density of population and developed economy. Our proposed method is suitable for rapid damage prediction and supporting emergency response and risk assessment at the community level for TCs in the coastal areas of China.
引用
收藏
页码:237 / 252
页数:16
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