Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China

Hou Jingming; Gao Yi; Wang Juncheng; Fan Tingting; Shan Di; Wang Zongchen

doi:10.3969/j.issn.0253-4193.2016.08.002

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Hou Jingming, Gao Yi, Wang Juncheng, Fan Tingting, Shan Di, Wang Zongchen. Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China[J]. Haiyang Xuebao, 2016, 38(8): 12-23. doi: 10.3969/j.issn.0253-4193.2016.08.002

Citation:

Hou Jingming, Gao Yi, Wang Juncheng, Fan Tingting, Shan Di, Wang Zongchen. Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China[J]. Haiyang Xuebao, 2016, 38(8): 12-23. doi: 10.3969/j.issn.0253-4193.2016.08.002

Citation:

Hou Jingming, Gao Yi, Wang Juncheng, Fan Tingting, Shan Di, Wang Zongchen. Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China[J]. Haiyang Xuebao, 2016, 38(8): 12-23. doi: 10.3969/j.issn.0253-4193.2016.08.002

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Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China

doi: 10.3969/j.issn.0253-4193.2016.08.002

1.
National Marine Environmental Forecasting Center, Beijing 100081, China;Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, China
2.
National Marine Environmental Forecasting Center, Beijing 100081, China

Received Date: 2015-09-25
Rev Recd Date: 2016-03-08

Abstract

Abstract

With its powerful earth observation capability, remote sensing technology shows great potential for disaster assessment. In this paper, multi-source remote sensing data is used to assess tsunami vulnerability from three components of vulnerability: exposure, sensitivity and resilience. Distance from shore is analyzed for exposure; apart from elevation, slope and shape of the coast, social and economic factor is taken into account for sensitivity; resilience is analyzed mainly from the land use factor. The Analytical Hierarchy Process (AHP) is used to construct a weighting scheme for the variables of sensitivity. Finally, five classes of vulnerability (low, slightly low, medium, slightly high and high) are defined and analyzed. The vulnerability map shows that 78.1% of the study area is low vulnerability, 5.9% is slightly low vulnerability, 5.4% is medium, 8.8% is slightly high vulnerability, and 1.8% is high vulnerability. High vulnerability areas are mostly located within 6 km buffer zone with smaller elevation and slope. The vulnerability analysis result can provide strong support for the tsunami disaster prevention and mitigation of local government.
- remote sensing,
- tsunami,
- vulnerability,
- AHP

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References(37)

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