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汶川地震大型单体滑坡遥感调查与危险性评价
引用本文:张雪峰,何政伟,薛东剑,张东辉,杨晏立. 汶川地震大型单体滑坡遥感调查与危险性评价[J]. 遥感信息, 2011, 0(3): 50-54. DOI: 10.3969/j.issn.1000-3177.2011.03.009
作者姓名:张雪峰  何政伟  薛东剑  张东辉  杨晏立
作者单位:1. 地质灾害防治与地质环境保护国家重点实验室,四川成都610059;中海油能源发展股份有限公司采油技术服务分公司,天津300452
2. 地质灾害防治与地质环境保护国家重点实验室,四川成都610059;中海油能源发展股份有限公司采油技术服务分公司,天津300452;首都师范大学资源环境与地理信息系统北京市重点实验室,北京100037
基金项目:国家863重点项目,国家科技支撑"十一五"计划
摘    要:"5.12"汶川特大地震诱发了大量次生地质灾害,山体大面积滑坡、崩塌,给人民的生命财产造成了重大损失。对这些次生性灾害进行详细的调查与监测,评价其近期的稳定性,对于防灾减灾,指导灾后重建具有现实意义。本文探讨了利用遥感影像对大型滑坡进行识别与解译,并运用AHP层次分析法对汶川地震形成的文家坝大型滑坡进行危险性评价的方法。在野外调查的基础上,对2008年5月16日获取的SPOT5影像进行解译,实现了对滑坡的规模、结构、类型、物质组成、稳定性等特征的遥感调查;选取与该滑坡发生有密切关联的地层岩性、坡度、区域降雨量、地震和水文条件5个因素作为滑坡危险性评价的指标,采用比例标度法构建判别矩阵,建立了滑坡危险度判别模型。经计算,文家坝滑坡危险性指数为0.684,危险度较高,有必要进行工程治理。

关 键 词:遥感  滑坡调查  危险性评价  文家坝滑坡

Remote Sensing Investigation and Risk Assessment of Large Scale Individual Landslide Triggered by the Wenchuan Earthquake
ZHANG Xue-feng,HE Zheng-wei,XUE Dong-jian,ZHANG Dong-hui,YANG Yan-li. Remote Sensing Investigation and Risk Assessment of Large Scale Individual Landslide Triggered by the Wenchuan Earthquake[J]. Remote Sensing Information, 2011, 0(3): 50-54. DOI: 10.3969/j.issn.1000-3177.2011.03.009
Authors:ZHANG Xue-feng  HE Zheng-wei  XUE Dong-jian  ZHANG Dong-hui  YANG Yan-li
Affiliation:①,②(① State Key Laboratory of Geohazard Prevention & Geoenvironment Protection,Chengdu 610059;② CNOOC Energy Tcchnology & Services-Oilfield Thchnology Services Co.,Tianjin 300452;③ Key Laboratory of Resource Environment and GIS in Beijing,Capital Normal University,Beijing 100037)
Abstract:A large number of secondary geohazards which were triggered by the 5.12 Wenchuan earthquake induced many landslides and rockfalls in mountain area.It has practical significance for the rebuilding in the disaster areas by assessing geohazards stabilization,which results in the production of hazards survey and monitoring.In this study,the remote sensing technology to detect and identify a large-scale landslide was used,and also AHP analysis was used to make a hazard risk assessment.Based on the field survey,a...
Keywords:remote sensing  landslide investigation  risk assessment  Wenjiaba landslide  
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