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Published VersionCC BY V4.0, Open Access
Journal article
Damage analysis of retired typhoons in mainland China from 2009 to 2019
Natural Hazards, Vol.116, pp.3225-3242
2023
Abstract
Typhoon catastrophes can seriously threaten national and regional security and development. How to quantitatively portray the spatiotemporal characteristics and the causes of typhoon catastrophe losses will be an important subject of scientific research in terms of disaster risk reduction. In this study, the overall characteristics, spatial patterns, and main influencing factors of the losses caused by retired typhoons landing in mainland China from 2009 to 2019 were investigated, through the usage of improved typhoon disaster index (G index), spatial autocorrelation, and cold/hotspots analysis methods. The results showed that 18 retired typhoons affected 17 provinces in China from 2009 to 2019, among which the areas affected by minor, moderate, severe, and extremely severe disasters accounted for 38.02%, 44.16%, 13.84%, and 4.32%, respectively. The disaster has strong spatial clustering, and the hotspots based on the G index are the key areas to be concerned about prevention and mitigation against typhoon mega disasters. Furthermore, the effects of exposed population, maximum wind speed, and maximum accumulative process precipitation on typhoon disaster losses were positively correlated, while the effects of exposed GDP (Gross Domestic Product) on disaster losses are weakly negatively correlated. This study identified the hotspots of typhoon catastrophes and underlined the efforts to formulate effective disaster risk reduction and build resilience.
Details
- Title
- Damage analysis of retired typhoons in mainland China from 2009 to 2019
- Authors
- Chengcheng Wan (Author) - Shanghai Normal UniversityYafei Yan (Author) - Shanghai Normal UniversityLiucheng Shen (Author) - Shanghai Normal UniversityJianli Liu (Author) - University of the Sunshine Coast, Queensland, School of Science, Technology and EngineeringXiaoxia Lai (Author) - Shanghai Normal UniversityWei Qian (Author) - Shanghai Normal UniversityJuan Nie (Corresponding Author) - National Disaster Reduction Centre of ChinaJiahong Wen (Corresponding Author) - Shanghai Normal University
- Publication details
- Natural Hazards, Vol.116, pp.3225-3242
- Publisher
- Springer Cham
- Date published
- 2023
- DOI
- 10.1007/s11069-022-05804-y
- ISSN
- 1573-0840; 0921-030X
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Grant note
- 42105125, 42171080, 42001014/ National Natural Science Foundation of China 2017YFC1503002/ National Key Research and Development Plan 20YF1434900/ Shanghai Sailing Program LGF21D010003/ Zhejiang Public Welfare Technology Research Project
- Organisation Unit
- University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99706097802621
- Output Type
- Journal article
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- Geosciences, Multidisciplinary
- Meteorology & Atmospheric Sciences
- Water Resources
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