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基于信息量模型的玉树地震次生地质灾害危险性评价

Susceptibility Assessment of Secondary Geological Disaster Based on Information Value Methodology for Yushu Earthquake Region

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【作者】 牛全福程维明兰恒星刘勇颉耀文

【Author】 NIU Quanfu1,2,3,CHENG Weiming2,LAN Hengxing2,LIU Yong1,XIE Yaowen1(1.College of Earth and Environmental Science Lanzhou University Lanzhou 730020,China;2.State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research,CAS,Beijing 100101,China;3.Gansu Provincial Electric Power Design Institute,Lanzhou 730050,China)

【机构】 兰州大学资源环境学院中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室甘肃省电力设计院

【摘要】 2010-04-14发生在青海省玉树的Ms7.1级地震引发了大量的地质灾害。基于GIS技术和信息量模型方法,以坡度、坡向、高程、坡形、地貌类型、断层距和地层岩性为评价因子,通过空间分析计算各因子的信息量,分析地质灾害在各因子中的空间分布特征,对各评价因子图层进行空间建模,将获取的信息量图划分为高度、中度、轻度三级危险区,通过遥感解译研究区实际滑坡分布,与危险性分布图叠加表明:本次研究得出的危险等级与实际的滑坡发生情况相吻合,为灾区重建提供参考依据。

【Abstract】 Yushu Ms7.1 earthquake,occurred on 14 April 2010 in Qinghai province induced a kind of secondary geological disasters.Based on GIS and information value methodology,taking the factors including slope,aspect,altitude,morphology,slope characteristics,geomorphologic types,fault and lithology as assessment factors,information value of secondary geological disasters in different assessment factors was calculated by means of ArcGIS.Then the spatial distribution of secondary geological disasters in each of assessment factors was discussed.Space model for each map layer of assessment factors was performed.Information value map was calculated and categorized into three classes,specifically,"low","moderate","high".According to the disasters acquired from remote sensing overlayed on the Information value map,the result can be summarized as follows.The hazard classes calculated by GIS and information value methodology preferably inosculate with field surveying.The result of this paper can provide the valid basis for the reconstruction of Yushu earthquake area in future.

【基金】 863专题(2009AA12Z103-3);国家自然科学面上基金项目(40871177);国家科技支撑计划(2008BAK50B01-5和2008BAK50B01-6)共同资助~~
  • 【文献出处】 山地学报 ,Journal of Mountain Science , 编辑部邮箱 ,2011年02期
  • 【分类号】P694
  • 【被引频次】20
  • 【下载频次】531
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