基于遥感的台州市海啸脆弱性评估

侯京明; 高义; 王君成; 范婷婷; 闪迪; 王宗辰

doi:10.3969/j.issn.0253-4193.2016.08.002

基于遥感的台州市海啸脆弱性评估

doi: 10.3969/j.issn.0253-4193.2016.08.002

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
2.
国家海洋环境预报中心, 北京 100081

基金项目: 国家自然科学基金项目（41201075）；国家海洋公益项目（201405026）。

计量
- 文章访问数: 1066
- HTML全文浏览量: 21
- PDF下载量: 848
- 被引次数: 0
出版历程
- 收稿日期: 2015-09-25
- 修回日期: 2016-03-08

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

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

摘要

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。
- 遥感 /
- 海啸 /
- 脆弱性 /
- 层次分析法
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

HTML全文

参考文献(37)

Birkmann J. Risk and vulnerability indicators at different scales:applicability, usefulness and policy implications[J]. Environmental Hazards, 2007, 7(1):20-31.

UNEP. After the tsunami:rapid environmental assessment[R]. Berne, Switzerland:UNEP (United Nations Environment Programme), 2005.

Dall'Osso F, Bovio L, Cavalletti A, et al. A novel approach (the CRATER method) for assessing tsunami vulnerability at the regional scale using ASTER imagery[J]. European Journal of Remote Sensing, 2010, 42(2):55-74.

Dall'Osso F, Gonella M, Gabbianelli G, et al. A revised (PTVA) model for assessing the vulnerability of buildings to tsunami damage[J]. Nat Hazards Earth Syst Sci, 2009, 9(5):1557-1565.

Dominey-Howes D, Papathoma M. Validating a tsunami vulnerability assessment model (the PTVA model) using field data from the 2004 Indian Ocean tsunami[J]. Natural Hazards, 2007, 40(1):113-136.

Papathoma M, Dominey-Howes D, Zong Y, et al. Assessing tsunami vulnerability, an example from Herakleio, Crete[J]. Nat Hazards Earth Syst Sci, 2013, 3(5):377-389.

Omira R, Baptista M A, Miranda J M, et al. Tsunami vulnerability assessment of Casablanca-Morocco using numerical modelling and GIS tools[J]. Natural Hazards, 2009, 54(1):75-95.

Theilen-Willige B. Tsunami hazard assessment in the Northern Aegean Sea[J]. Science of Tsunami Hazards, 2008, 27(1):1-16.

Sinaga T P T, Nugroho A, Lee Y, et al. GIS mapping of tsunami vulnerability:case study of the Jembrana Regency in Bali, Indonesia[J]. KSCE Journal of Civil Engineering, 2011, 15(3):537-543.

Ajin R S, Mathew J K, Vinod P G. Tsunami vulnerability mapping using remote sensing and GIS techniques:a case study of Kollam District, Kerala, India[J]. Iranian Journal of Earth Sciences, 2014, 6:43-50.

Wang J F, Li L F. Improving tsunami warning systems with remote sensing and geographical information system input[J]. Risk Analysis, 2008, 28(6):1653-1668.

Yamazaki F, Matsuoka M. Remote sensing technology in post disaster damage assessment[J]. Journal of Earthquake and Tsunami, 2007, 1(3):193-210.

Taubenböck H, Post J, Roth A, et al. A conceptual vulnerability and risk framework as outline to identify capabilities of remote sensing[J]. Nat Hazards Earth Syst Sci, 2008, 8(3):409-420.

Römer H, Willroth P, Kaiser G, et al. Potential of remote sensing techniques for tsunami hazard and vulnerability analysis-a case study from Phang-Nga province, Thailand[J]. Nat Hazards Earth Syst Sci, 2012, 12(6):2103-2126.

ONUG/DHA. Internationally agreed glossary of basic terms related to disaster management[R]. Geneva, Switzerland:United Nations Department of Humanitarian Affairs, 1992.

Doerfliger N, Jeannin P Y, Zwahlen F. Water vulnerability assessment in Karst environments:a new method of defining protection areas using a multi-attribute approach and GIS tools (EPIK method)[J]. Environmental Geology, 1999, 39(2):165-176.

Turner B L, Kasperson R E, Matson P A, et al. A framework for vulnerability analysis in sustainability science[J]. Proceedings of the National Academy of Sciences of the United States of America, 2003, 100(14):8074-8079.

Clark W, Jager J, Corell R, et al. Assessing vulnerability to global environmental risks[R]. Airlie House, Warrenton, Virginia:Report of the Workshop on Vulnerability to Global Environmental Change, 2000.

Villagrán D. Vulnerability:a conceptual and methodological review[R]. Tokyo:United Nations University Institute for Environment and Human Security (UNU-EHS), 2006, 4:68.

Lekkas E, Andreadakis E, Kostaki I, et al. Critical factors for run-up and impact of the Tohoku earthquake tsunami[J]. International Journal of Geosciences, 2011, 2(3):310-317.

Saaty T L. A scaling method for priorities in hierarchical structures[J]. Journal of Mathematical Psychology, 1977, 15(3):234-281.

Saaty T L. Decision making for leaders:the analytical hierarchy process for decisions in a complex world. The analytical hierarchy process series[C]. Pittsburgh:RWS Publication, 1996.

中国台州政府网. 台州自然地理[EB/OL]. http://www.zjtz.gov.cn/col/col54/index.html, 2015-09-07. Taizhou Government Website. The physical geography of Taizhou[EB/OL]. http://www.zjtz.gov.cn/col/col54/index.html, 2015-09-07.

温燕林, 赵文舟, 李伟, 等. 日本南海海槽发生罕遇地震情况下我国华东沿海的海啸危险性研究[J]. 地震学报, 2014, 36(4):651-661. Wen Yanlin, Zhao Wenzhou, Li Wei, et al. Research on the potential tsunami hazard in East China Coast under rare earthquake occurred in Nankai Trough, Japan[J]. Acta Seismologica Sinica, 2014, 36(4):651-661.

毛献忠, 祝倩, Wei Yong. 浙江沿海潜在区域地震海啸风险分析[J]. 海洋学报, 2015, 37(3):37-45. Mao Xianzhong, Zhu Qian, Wei Yong. Risk analysis of potential regional earthquake tsunami on the coast of Zhejiang Province[J]. Haiyang Xuebao, 2015, 37(3):37-45.

郭彩玲, 王晓峰. 中国东部海域发生海啸的可能性分析[J]. 自然灾害学报, 2007, 16(1):7-11. Guo Cailing, Wang Xiaofeng. Possibility analysis of tsunami taking place in east sea area of China[J]. Journal of Natural Disasters, 2007, 16(1):7-11.

王锋, 刘昌森, 章振铨. 中国古籍中的地震海啸记录[J]. 中国地震, 2005, 21(3):437-443. Wang Feng, Liu Changsen, Zhang Zhenquan. Earthquake tsunami record in Chinese ancient books[J]. Earthquake Research in China, 2005, 21(3):437-443.

王培涛, 于福江, 赵联大, 等. 2011年3月11日日本地震海啸越洋传播及对中国影响的数值分析[J]. 地球物理学报, 2012, 55(9):3088-3096. Wang Peitao, Yu Fujiang, Zhao Lianda, et al. Numerical analysis of tsunami propagating generated by the Japan M_w9.0 earthquake on Mar. 11 in 2011 and its impact on China coasts[J]. Chinese J Geophys, 2012, 55(9):3088-3096.

Iida K. Magnitude, energy and generation mechanisms of tsunamis and a catalogue of earthquakes associated with tsunamis[C]//Proceedings of Tsunami Meeting at the 10th Pacific Science Congress. Honolulu:IUGG Monograph, 1963,24:7-18.

IPCC. Managing the risks of extreme events and disasters to advance climate change adaptation[C]//A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change. Cambridge and New York:Cambridge University Press, 2012.

高义, 王辉, 王培涛, 等. 基于人口普查与多源夜间灯光数据的海岸带人口空间化分析[J]. 资源科学, 2013, 35(12):2517-2523. Gao Yi, Wang Hui, Wang Peitao, et al. Population spatial processing for Chinese coastal zones based on census and multiple night light data[J]. Resources Science, 2013, 35(12):2517-2523.

Li Xi, Xu Huimin, Chen Xiaoling, et al. Potential of NPP-VIIRS nighttime light imagery for modeling the regional economy of China[J]. Remote Sensing, 2013, 5(6):3057-3081.

Li Xi, Li Deren. Can night-time light images play a role in evaluating the Syrian Crisis?[J]. International Journal of Remote Sensing, 2014, 35(18):6648-6661.

Burrough P A, McDonnell R A. Principles of Geographical Information Systems[M]. New York:Oxford University Press, 1998:356.

Van Zuidam R A. Guide to geomorphologic:aerial photographic interpretation and mapping[C]//International Institute for Geo-Information Science and Earth Observation. Enschede, 1983:325.

Ikawati Y. Tsunami wave is predictable[C]//Canahar P. Earthquake Disaster and Tsunami, Kompas. Jakarta, 2004:550.

Kaiser G, Burkhard B, Römer H, et al. Mapping tsunami impacts on land cover and related ecosystem service supply in Phang Nga, Thailand[J]. Nat Hazards Earth Syst Sci, 2013, 13(12):3095-3111.

施引文献

资源附件(0)

访问统计