Combination evaluation and case analysis of vulnerability of storm surge in coastal provinces of China

Yuan Shun; Zhao Xin; Li Linlin

doi:10.3969/j.issn.0253-4193.2016.02.002

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Yuan Shun, Zhao Xin, Li Linlin. Combination evaluation and case analysis of vulnerability of storm surge in coastal provinces of China[J]. Haiyang Xuebao, 2016, 38(2): 16-24. doi: 10.3969/j.issn.0253-4193.2016.02.002

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Yuan Shun, Zhao Xin, Li Linlin. Combination evaluation and case analysis of vulnerability of storm surge in coastal provinces of China[J]. Haiyang Xuebao, 2016, 38(2): 16-24. doi: 10.3969/j.issn.0253-4193.2016.02.002

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Combination evaluation and case analysis of vulnerability of storm surge in coastal provinces of China

doi: 10.3969/j.issn.0253-4193.2016.02.002

1.
College of Oceanic and Atmospheric Science, Ocean University of China, Qingdao 266100, China
2.
College of Economics, Ocean University of China, Qingdao 266100, China

Received Date: 2015-03-14
Rev Recd Date: 2015-06-09

Abstract

Abstract

This paper researched the storm surge disasters in coastal provinces of China. Based on the data sources including the State Oceanic Administration, statistical yearbooks of State Statistical Bureau and coastal provinces, the Rough Set Theory and the Combination Weighting Method were combined to build the RST-CWM model for the purpose of assessing the vulnerability of storm surge disasters. And the evaluation results show that the vulnerability of storm surge disasters in coastal provinces varied spatially. However, this variation did not show a significant connection with geographical location. In this case, only focusing on geographical location in policy-making was likely to be inefficient. The most vulnerable area was Shandong while the least was Shanghai. Furthermore, the vulnerability of storm surge disasters was discomposed into exposure, sensitivity and adaptability, which varied from provinces. It indicated that diverse driving forces should be employed to optimize marine disaster prevention and reduction policies, during which natural and human factors should be taken into account.
- storm surge disasters,
- vulnerability,
- combination evaluation model,
- rough set theory

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References(16)

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