期刊文献+

基于熵权的典型滑坡危险度评价 被引量:9

Entropy weight-based hazard degree assessment of typical landslide
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摘要 根据典型滑坡的强度指标和发生可能性指标建立了典型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(CDM I)中云阳县18个典型岩质滑坡的资料计算了各评价因子的客观权重,建立了定量评价模型。计算了云阳县18个典型岩质滑坡的危险度,通过实地调查对评价结果进行了对比验证,危险度评价结果准确率达83.3%,该方法可作为评价典型滑坡危险度的新方法进行推广运用,为滑坡的防治提供参考。 This article sets up an index system by the intensity factors and probability factors of landslide. Based on information entropy method, subjective weight was calculated by 18 typical landslides in Yunyang County,and a qualitative typical landslide hazard degree assessment model was established. Then this model was used for evaluating the hazard degree of the landslides in Yunyang County, the results was verified by contrast with field investigation and the accuracy reaches 83.3%. Consequently this model can disseminated to application as a new method and provide a basis for warning and control of typical landslide.
出处 《自然灾害学报》 CSCD 北大核心 2009年第4期31-36,共6页 Journal of Natural Disasters
基金 科学院三期重要方向创新项目资助(KJCX3-SW-L1-6)
关键词 典型滑坡 危险度评价 信息熵 云阳县 typical landslide hazard degree assessment information entropy Yunyang County
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