信息熵在震后深溪沟流域泥石流危险度评价中的应用

发布时间：2018-04-01 19:10

本文选题：泥石流　切入点：信息熵　出处：《防灾减灾工程学报》2017年02期

【摘要】："5·12"汶川地震导致深溪沟流域孕灾环境剧变,泥石流灾害频发,危害严重,亟待对该流域泥石流危险度进行合理有效地评价。以该流域为靶区,应用GIS技术将该流域划分为41个子流域,基于信息熵原理与方法计算41个子流域8个评价因子的信息熵值;根据各因子的信息熵值计算每个因子的权重,进而计算每个子流域泥石流综合危险度指数、判定每个子流域泥石流危险度。将判定结果与应用地貌信息熵法和野外调查结果进行了对比分析,结果表明:本文信息熵法泥石流危险度评价的结果与实际情况吻合较好,可为该流域泥石流防灾减灾、经济建设布局等提供依据。
[Abstract]:The "512" Wenchuan earthquake caused a sharp change in disaster environment and frequent debris flow disasters in the deep Xigou basin. It is urgent to evaluate the risk degree of debris flow in this basin effectively and reasonably.The basin is divided into 41 subbasins by GIS technique. The information entropy of 8 evaluation factors is calculated based on the principle and method of information entropy, and the weight of each factor is calculated according to the information entropy of each factor.Then the comprehensive risk index of debris flow in each sub-watershed is calculated and the risk degree of debris flow in each sub-watershed is determined.The results are compared with the results of geomorphological information entropy method and field investigation. The results show that the results of risk assessment of debris flow by information entropy method in this paper are in good agreement with the actual situation and can be used for the prevention and mitigation of debris flow in this basin.Economic construction layout and so on to provide the basis.
【作者单位】：中国科学院水利部成都山地灾害与环境研究所;中国科学院山地灾害与地表过程重点实验室;中国科学院大学;
【基金】：科技部国际科技合作专项(2013DFA21720) 国家自然科学基金面上项目(41372331) 水利部公益性行业科研专项(201301058-1)资助
【分类号】：P642.23

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