Quantitative Assessment of Typhoon Disaster Risk at County Level
文献类型:期刊论文
作者 | Guo, Guizhen; Yin, Jie4; Liu, Lulu3; Wu, Shaohong2,3 |
刊名 | JOURNAL OF MARINE SCIENCE AND ENGINEERING
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出版日期 | 2024-09-01 |
卷号 | 12期号:9页码:1544 |
关键词 | typhoon hazard vulnerability risk quantitative assessment |
DOI | 10.3390/jmse12091544 |
产权排序 | 3 |
文献子类 | Article |
英文摘要 | Using the historical disaster records of 28 typhoons in Cangnan County since 2000, combining typhoon paths and hazard-bearing bodies data and based on the theoretical framework of climate change risk, the social and economic risks of typhoon disasters in Cangnan County with four intensity levels-severe tropical storm, typhoon, severe typhoon, and super typhoon-were quantitatively assessed. The results show that with the increase in typhoon disaster intensity, the spatial pattern of typhoon disaster hazard in Cangnan County changes from high in the west and low in the east to high in the south and low in the north. Super typhoons mainly affected Mazhan town and Dailing town in the south. The vulnerability shows an obvious upward trend. Super typhoons cause more than 40% of the population to be affected, more than 20% of direct economic losses and house collapse, and nearly 30% of crops to be affected in Cangnan County. The spatial pattern of risks that typhoon disasters have on populations, economies, crops, and houses change from low in south and high in north to high in north and south, and these risks increase gradually. The comprehensive risk of typhoon disasters is higher in the north and lower in the south, with the risk level being higher in the central and northern regions. |
WOS关键词 | NATURAL HAZARDS ; CHALLENGES ; PREVENTION |
WOS研究方向 | Engineering ; Oceanography |
WOS记录号 | WOS:001323988800001 |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/207999] ![]() |
专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
通讯作者 | Wu, Shaohong |
作者单位 | 1.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Nantong Univ, Sch Geog Sci, Nantong 226007, Peoples R China 4.Natl Disaster Reduct Ctr China, Beijing 100124, Peoples R China |
推荐引用方式 GB/T 7714 | Guo, Guizhen,Yin, Jie,Liu, Lulu,et al. Quantitative Assessment of Typhoon Disaster Risk at County Level[J]. JOURNAL OF MARINE SCIENCE AND ENGINEERING,2024,12(9):1544. |
APA | Guo, Guizhen,Yin, Jie,Liu, Lulu,&Wu, Shaohong.(2024).Quantitative Assessment of Typhoon Disaster Risk at County Level.JOURNAL OF MARINE SCIENCE AND ENGINEERING,12(9),1544. |
MLA | Guo, Guizhen,et al."Quantitative Assessment of Typhoon Disaster Risk at County Level".JOURNAL OF MARINE SCIENCE AND ENGINEERING 12.9(2024):1544. |
入库方式: OAI收割
来源:地理科学与资源研究所
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