Institutional Repository of Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences
| Multi-factor evaluation indicator method for the risk assessment of atmospheric and oceanic hazard group due to the attack of tropical cyclones | |
Qi, Peng1,2 ; Du, Mei1,2,3
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| 2018-06-01 | |
| Source Publication | INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
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| ISSN | 0303-2434 |
| Volume | 68Pages:1-7 |
| Corresponding Author | Qi, Peng(pqi@qdio.ac.cn) |
| Abstract | China's southeast coastal areas frequently suffer from storm surge due to the attack of tropical cyclones (TCs) every year. Hazards induced by TCs are complex, such as strong wind, huge waves, storm surge, heavy rain, floods, and so on. The atmospheric and oceanic hazards cause serious disasters and substantial economic losses. This paper, from the perspective of hazard group, sets up a multi-factor evaluation method for the risk assessment of TC hazards using historical extreme data of concerned atmospheric and oceanic elements. Based on the natural hazard dynamic process, the multi-factor indicator system is composed of nine natural hazard factors representing intensity and frequency, respectively. Contributing to the indicator system, in order of importance, are maximum wind speed by TCs, attack frequency of TCs, maximum surge height, maximum wave height, frequency of gusts >= Scale 8, rainstorm intensity, maximum tidal range, rainstorm frequency, then sea-level rising rate. The first four factors are the most important, whose weights exceed 10% in the indicator system. With normalization processing, all the single-hazard factors are superposed by multiplying their weights to generate a superposed TC hazard. The multi-factor evaluation indicator method was applied to the risk assessment of typhoon-induced atmospheric and oceanic hazard group in typhoon-prone southeast coastal cities of China. |
| Keyword | Tropical cyclone (TC) TC hazard chain Hazard and risk assessment Multi-factor evaluation method Analytic hierarchy process (AHP) |
| DOI | 10.1016/j.jag.2018.01.015 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | National Key R&D Program of China[2016YFC1402004] ; National Key R&D Program of China[2016YFC1402004] |
| WOS Research Area | Remote Sensing |
| WOS Subject | Remote Sensing |
| WOS ID | WOS:000429398500001 |
| Publisher | ELSEVIER SCIENCE BV |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.qdio.ac.cn/handle/337002/158689 |
| Collection | 海洋环流与波动重点实验室 |
| Corresponding Author | Qi, Peng |
| Affiliation | 1.Chinese Acad Sci, Inst Oceanol, Qingdao 266071, Peoples R China 2.Chinese Acad Sci, Key Lab Ocean Circulat & Waves, Qingdao 266071, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
| First Author Affilication | Institute of Oceanology, Chinese Academy of Sciences; Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences |
| Corresponding Author Affilication | Institute of Oceanology, Chinese Academy of Sciences; Key Laboratory of Ocean Circulation and Wave Studies, Institute of Oceanology, Chinese Academy of Sciences |
| Recommended Citation GB/T 7714 | Qi, Peng,Du, Mei. Multi-factor evaluation indicator method for the risk assessment of atmospheric and oceanic hazard group due to the attack of tropical cyclones[J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,2018,68:1-7. |
| APA | Qi, Peng,&Du, Mei.(2018).Multi-factor evaluation indicator method for the risk assessment of atmospheric and oceanic hazard group due to the attack of tropical cyclones.INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION,68,1-7. |
| MLA | Qi, Peng,et al."Multi-factor evaluation indicator method for the risk assessment of atmospheric and oceanic hazard group due to the attack of tropical cyclones".INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION 68(2018):1-7. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Multi-factor evaluat（607KB） | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View | |
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