基于流域地貌信息熵的强震区潜在突发性泥石流危险性评价

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• 英文论文题名：Hazard Assessment of Potential Debris Flow Based on Watershed Geomorphic Information Entropy in Meizoseismal Area
• 论文作者：杨鑫 ; 杨武年
• 英文论文作者：YANG Xin ; YANG Wu-nian ; Key Laboratory of Geoscience Spatial Information Technology ; Ministry of Land and Resources of the P.R.China ; Chengdu University of Technology
• 年：2016
• 作者机构：国土资源部地学空间信息技术重点实验室(成都理工大学);
• 论文关键词：地貌信息熵 ; 数字高程模型 ; 潜在突发性泥石流 ; 危险性评价
• 英文论文关键词：Geomorphic information entropy ; Digital Elevation Model ; Potential Sudden landslides ; Hazard assessment
• 会议召开时间：2016-10-21
• 会议录名称：第十五届全国数学地质与地学信息学术研讨会论文集
• 英文会议录名称：Proceedings of the 15th National Workshop on Mathematical Geosciences and Geoinformatics
• 语种：中文
• 分类号：P642.23
• 学会代码：ZSYD
• 会议名称：第十五届全国数学地质与地学信息学术研讨会
• 会议地点：中国湖南长沙
• 主办单位：中国地质学会数学地质与地学信息专业委员会、中南大学、湖南省国土资源厅、湖南省地质学会
• 学会名称：中国地质学会数学地质与地学信息专业委员会
• 页数：4
• 文件大小：1315k
• 原文格式：D
• 会议级别：全国

摘要

流域地貌信息熵能够反映地质构造活动的强度,可以通过它的值的大小判读潜在突发性泥石流危险性的高低。利用震后无人机拍摄的立体像对,提取震后DEM,采用GIS技术将研究区划分为31个流域单元,计算流域面积和流域高程差,建立面积-高程曲线,利用Python语言编程计算各流域信息熵值,实现泥石流危险性评价。研究结果表明,研究区31条沟中,有3条沟属于潜在突发性泥石流高危险区;12条沟属于较高危险区;13条沟泥石流较低危险区;3条沟属于泥石流低危险区。
Watershed geomorphic information entropy can reflect the intensity of tectonic activities, whose value can help to interpret high or low risk of Potential Sudden debris flow. The realization of debris flow hazard assessment depend on Stereoscopic pairs taken by unmanned aerial vehicle to extract DEM after an earthquake, adopting GIS technology to divide the research area into 31 watershed unit, calculating area and elevation difference of watershed to establish area-elevation curve, and calculating the value of watershed information entropy using the Python. Research results show that there are 31 debris flow gullys in the study area,3 of which belongs to high dangerous zone with potential sudden mudslide;12 of which belongs to above normal risk areas;13 of which is below normal;3 of which belongs to low dangerous zone with debris flow.

引文

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