[1]牛全福,程维明,兰恒星,等.基于信息量模型的玉树地震次生地质灾害危险性评价[J].山地学报,2011,(02):243.
　NIU Quanfu,,et al.Susceptibility Assessment of Secondary Geological Disaster Based on Information Value Methodology for Yushu Earthquake Region[J].Mountain Research,2011,(02):243.
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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()
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《山地学报》[ISSN:1008-2186/CN:51-1516]

卷:
期数:
2011年02期
页码:
243
栏目:
山地学报
出版日期:
2011-01-01

文章信息/Info

Title:
Susceptibility Assessment of Secondary Geological Disaster Based on Information Value Methodology for Yushu Earthquake Region
作者:
牛全福;程维明;兰恒星;刘勇;颉耀文;
1兰州大学资源环境学院，甘肃 兰州 730020；
2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，北京 100101；
3甘肃省电力设计院，甘肃 兰州 730050
Author(s):
NIU Quanfu;  CHENG Weiming;  LAN Hengxing;  LIU Yong;  XIE Yaowen
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
关键词:
地质灾害; 信息量模型; 评价因子; 危险性评价
Keywords:
geological disaster;  information value methodology;  assessment factors;  susceptibility assessment
分类号:
P6422,X141
文献标志码:
A
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.

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备注/Memo

备注/Memo:
收稿日期(Received date)：2010-07-06；改回日期(Accepted) : 2010-09-05。
基金项目（Foundation item）：863专题（2009AA12Z103-3）、国家自然科学面上
基金项目（40871177）和国家科技支撑计划（2008BAK50B01-5和2008BAK50B01-6）共同资助。\[Supported by 863 program（2009AA12Z103-3）、the National Natural Science Foundation of China(40871177) and national science & technology pillar program（2008BAK50B01-5 & 2008BAK50B01-6）.\]
作者简介（Biography）：牛全福（1973-），男，甘肃天水人，博士研究生，主要从事地理信息与地形分析方面的研究。\[Niu Quanfu,male,born in Tianshui, Gansu. PhD Candidate，majoring in the research on GIS and topographty analyse. \]E-mail: niuquanfu980703@163.com；Tel:13893346034 *
通讯作者(Corresponding author)：程维明（1973-），男，副研究员，硕士生导师，主要从事数字地貌提取与制图方面的研究。\[Cheng Weiming,male, associate professor, Master tutor, majoring in the research on figure physiognomy and Mapping.\]E-mail：chengwm@lreis.ac.cn；Tel：13910239860
更新日期/Last Update: 1900-01-01