基于确定性系数的降雨型滑坡影响因子敏感性分析

发布时间：2018-04-18 05:28

本文选题：确定性系数 + 敏感性分析　；参考：《工程地质学报》2017年02期

【摘要】：本文选择东南沿海地区具有典型降雨型滑坡的淳安县作为研究区,在完成全县地质灾害详细调查的基础上,选取高程、坡度、坡向、曲率、工程地质岩组、距断层距离、距道路距离、土地利用和植被等9个滑坡影响因子,利用GIS技术与确定性系数分析方法,对这9个影响因子开展敏感性分析。研究结果表明:(1)寒武、震旦、石炭和白垩系是滑坡易发地层,侵入岩组、紫红色砂岩、碳酸盐岩夹碎屑岩、碳酸盐岩为主的岩组是滑坡高敏感性岩组;滑坡受断层影响总体上随着距离断层由近及远逐渐降低;(2)坡度范围10°~35°是滑坡的易发坡度,30°~35°滑坡数量达到峰值;SE和S等朝南坡向是滑坡最易发坡向;高程范围为100~200m是滑坡最易发区间;凹坡最易发生滑坡,而凸坡则滑坡敏感性最差;非林地、茶叶、竹林和经济林等是滑坡高敏感植被类型;(3)住宅用地、耕地、园地等与人类活动密切相关的用地类型是滑坡易发地类;距道路距离因子对滑坡敏感性低,相关性不明显。上述各滑坡影响因子最利于滑坡发生的数值区间确定,将为研究区进一步开展降雨型滑坡区域易发性评价及预测奠定基础。
[Abstract]:In this paper, Chun'an County with typical rainfall landslide in southeast coastal area is selected as the study area. On the basis of the detailed investigation of geological hazards in the whole county, elevation, slope, slope direction, curvature, engineering geological rock formation, distance from fault are selected.Nine landslide influencing factors, such as distance from road, land use and vegetation, were analyzed sensitively by using GIS technique and deterministic coefficient analysis method.The results show that the Cambrian, Sinian, Carboniferous and Cretaceous are landslide prone strata, intrusive rock formation, purple sandstone, carbonate rock intercalated clastic rock, carbonate rock group is landslide highly sensitive rock formation;As a whole, the slope range of 10 掳~ 35 掳is the most prone slope of landslide. The number of landslide with 30 掳~ 35 掳landslide reaches the peak value, such as SE and S etc. The most prone slope is the slope toward the south.The height range of 100 ~ 200m is the most susceptible section for landslides; the depression slope is the most prone to landslides, while the convex slope is the least sensitive to landslides; and non-forest land, tea, bamboo and economic forests are the high-sensitive vegetation types of landslide, such as residential land, cultivated land, etc.The land type closely related to human activities is landslide prone land type, and the distance from the road factor is not sensitive to landslide, but the correlation is not obvious.The above factors are most favorable to the determination of the numerical interval of landslide occurrence, which will lay a foundation for further evaluation and prediction of the susceptibility of rainfall landslide in the study area.
【作者单位】：中国地质大学(武汉);浙江省地质矿产研究所;
【基金】：浙江省公益性技术应用研究项目(2016C33045) 浙江省公益技术应用研究计划项目(2017C33011) 浙江省国土资源厅“浙江省乡镇突发地质灾害风险评价”资助
【分类号】：P642.22

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