| 基于遥感的台州市海啸脆弱性评估 |
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| 引用本文： | 侯京明,高义,王君成,范婷婷,闪迪,王宗辰.基于遥感的台州市海啸脆弱性评估[J].海洋学报,2016,38(8):12-23. |
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| 作者姓名： | 侯京明 高义 王君成 范婷婷 闪迪 王宗辰 |
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| 作者单位： | 1.国家海洋环境预报中心, 北京 100081;国家海洋局 海洋灾害预报技术研究重点实验室, 北京 100081 |
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| 基金项目： | 国家自然科学基金项目（41201075）；国家海洋公益项目（201405026）。 |
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| 摘 要： | 遥感技术由于具有强大的对地观测能力，因而在灾害评估方面表现出了巨大的潜力。本文基于灾害风险评估理论，利用ASTER GDEM高程数据，NPP/VIIRS灯光数据和LANDSAT卫星影像3种遥感数据对台州市海啸脆弱性进行了评估。主要从暴露性，敏感性和恢复能力3个方面进行了研究:暴露性主要分析了离岸距离因子；敏感性除了考虑到高程、坡度和海岸形状等自然地理因子外，同时也兼顾了社会经济因子；恢复能力主要由土地利用进行分析。利用层次分析法(AHP)计算了敏感性四因子的权重值。最后将脆弱性分为高、较高、中等、较低和低5个等级。脆弱性分析结果显示，台州市沿海研究区域中，78.1%的区域属于低脆弱性，5.9%区域是稍微脆弱，5.4%属于中等脆弱，8.8%是稍高脆弱性，还有1.8%属于高脆弱性区域。脆弱性偏高的地区大多位于近岸6 km内，高程和坡度较小的区域。该脆弱性分析方法可推广到全国其他县市区域的海啸风险评估工作中，为政府海啸防灾减灾工作提供科学参考。
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| 关 键 词： | 遥感 海啸 脆弱性 层次分析法 |
| 收稿时间： | 2015/9/25 0:00:00 |
| 修稿时间： | 3/8/2016 12:00:00 AM |
Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China |
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| Hou Jingming,Gao Yi,Wang Juncheng,Fan Tingting,Shan Di and Wang Zongchen.Using remote sensing to assess tsunami vulnerability for the coast of Taizhou, Zhejiang Province, China[J].Acta Oceanologica Sinica (in Chinese),2016,38(8):12-23. |
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| Authors: | Hou Jingming Gao Yi Wang Juncheng Fan Tingting Shan Di and Wang Zongchen |
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| Institution: | 1.National Marine Environmental Forecasting Center, Beijing 100081, China;Key Laboratory of Research on Marine Hazards Forecasting, State Oceanic Administration, Beijing 100081, China2.National Marine Environmental Forecasting Center, Beijing 100081, China |
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| 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. |
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| Keywords: | remote sensing tsunami vulnerability AHP |
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