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论文摘要

基于信息熵的典型滑坡危险度评价研究

Hazard Degree Assessment of Typical Landslide Based on Information Entropy

作者:杨宗佶(中国科学院·水利部 成都山地灾害与环境研究所,四川 成都 610041);乔建平(中国科学院·水利部 成都山地灾害与环境研究所,四川 成都 610041)

Author:(Inst.of Mountain Hazards and Environment, Chinese Academy of Sci. and Ministry of Water Conservancy, Chengdu 610041, China);(Inst.of Mountain Hazards and Environment, Chinese Academy of Sci. and Ministry of Water Conservancy, Chengdu 610041, China)

收稿日期:2007-08-21          年卷(期)页码:2008,40(4):47-52

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:信息熵;典型滑坡;危险度评价;奉节县

Key words:information entropy; typical landslide; hazard degree assessment; Fengjie County

基金项目:科学院三期重要方向创新项目资助 (KJCX3-SW-L1-6)

中文摘要

为了定量地对典型滑坡危险度进行评价,根据典型滑坡的强度指标和发生可能性指标建立典型岩质滑坡危险度评价指标体系,利用信息熵原理,结合中国科学院成都山地所滑坡数据库(CDMI)中奉节县24个典型岩质滑坡计算各评价因子客观权重,建立定量评价模型。计算奉节县24个典型岩质滑坡的危险度,通过实地调查对评价结果进行对比验证,危险度评价结果准确率达87.5%,可作为评价典型滑坡危险度的新方法进行推广运用,为滑坡的防治提供依据。

英文摘要

To quantitatively conduct typical landslide hazard degree assessment, this article set up an index system by the intensity factors and probability factors of landslide. Based on information entropy method, subjective weight is calculated by 24 typical landslides in Fengjie County, Three Gorges, and a quantitative typical landslide hazard degree assessment model is established. Then this model is used in evaluating the hazard degree of the landslides in Fengjie County, the results are confirmed through field investigation and the accurate rate reaches 87.5%. Consequently this model can carry on the promoted utilization as a new method and provides a basis for warning and control of typical landslide.

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