摘要
本文以地处黄土沟壑区的皋兰县部分区域为研究对象,选取了高程、坡度、坡向、平面曲率、岩性、河流、水流强度指数和建筑物作为滑坡的评价因子,基于GIS的数据分析技术,利用频率比和信息量模型对其进行滑坡易发性评价,并对结果进行等级划分。最后,通过ROC曲线和密度法,对2种模型的评价结果进行精度检验和对比分析。结果表明:信息量模型的评价结果优于频率比模型的评价结果,其更适合于该区域滑坡易发性的定量评估;研究区滑坡的分布主要受控于高程和建筑设施;高、极高易发区域集中分布于低高程区域和距建筑物250m范围内。所得到的滑坡易发性分区结果可为该区域的滑坡灾害防治和土地规划利用提供参考依据。
Taking part of Gaolan county located in loess gully region as the research object,elevation,slope,aspect,plan curvature,lithology,drainage,stream power index and buildings were selected as landslide evaluation factors.Based on data analysis technology of GIS,the frequency ratio and information value model were used to evaluate the landslide susceptibility assessment,and the results were divided into some levels.Finally,the ROC curve and density method were used to carry out accuracy verification and analytical comparison.The results show that the evaluation result of the information value model is better than that of the frequency ratio model,which is more suitable for the quantitative evaluation of landslide susceptibility in this area.The spatial distribution of landslide is mainly constrained by elevation and buildings in the study area.High and extreme high susceptibility landslide susceptibility zones are concentrated in the low-altitude areas and within 250m from the buildings.The results of landslide susceptibility partition can provide reference for the prevention and control of landslide hazard and land planning and utilization in this area.
作者
李文彦
王喜乐
LI Wenyan;WANG Xile(Gansu Investigation Institute of Hydrogeology and Engineering,Lanzhou 730020,China;School of Civil Engineering and Mechanics,Lanzhou University,Lanzhou 730000,China)
出处
《自然灾害学报》
CSCD
北大核心
2020年第4期213-220,共8页
Journal of Natural Disasters
基金
国家自然科学基金(41977212)
中央高校基本科研业务费专项资金(lzujbky-2020-kb46)
甘肃省自然科学基金(18JR3RA267)。
关键词
滑坡易发性
频率比
信息量
ROC曲线
皋兰县
landslide susceptibility
frequency ratio
information value
ROC curve
Gaolan County