黄土区滑坡研究中地形因子的选取与适宜性分析

发布时间：2018-06-06 11:12

本文选题：滑坡灾害 + 黄土　；参考：《地球信息科学学报》2017年12期

【摘要】：黄土高原是中国生态较为脆弱的地区,也是滑坡发育的地层之一。黄土滑坡发育是孕灾环境、致灾因子和承灾体等多种因素联合作用的结果,其中作为重要孕灾环境因素的地形因子的选取是黄土滑坡风险研究的基础。本文选取黄土滑坡灾害多发的甘谷县作为研究区,综合利用敏感性指数、确定性系数和相关系数方法进行地形因子在滑坡灾害研究中的适宜性分析,得出以下结论:基于确定性系数法、敏感性分析模型和相关系数法,最终筛选出适宜于本区域滑坡灾害评价的地形因子为:坡度、坡度变率、坡形和地表粗糙度;确定性系数法、敏感性分析模型都基于分析单一因子与滑坡之间的关系进行致灾因子选取,忽视地形因子之间的相关性。实验结果表明,研究区稳定性较差的区域与已发生滑坡灾害分布数量具有较好的对应关系,并深入分析了滑坡与地形因子分级范围的关系,发现地形因子分级范围对地质灾害风险研究具有重要的影响,是导致部分区域的差异性主要原因之一。实地调查发现,河网切割密度及人类工程活动也对研究区危险性具有重要的控制作用,是重要的地形因素。
[Abstract]:The Loess Plateau is an ecologically fragile area of China and one of the strata developed by landslides. The development of loess landslide is the result of combined action of many factors, such as disaster environment, disaster causing factor and disaster bearing body, among which, the selection of terrain factor as an important environmental factor is the basis of the study of loess landslide risk. In this paper, Gangu County, which is prone to landslide disasters in loess, is selected as the study area. The suitability of terrain factors in landslide disaster research is analyzed by using sensitivity index, deterministic coefficient and correlation coefficient method. The following conclusions are drawn: based on the deterministic coefficient method, sensitivity analysis model and correlation coefficient method, the terrain factors suitable for landslide disaster evaluation in this region are: slope, slope variability, slope shape and surface roughness; The deterministic coefficient method and the sensitivity analysis model are based on the analysis of the relationship between the single factor and the landslide, and ignore the correlation between the terrain factor and the single factor. The experimental results show that there is a good corresponding relationship between the region with poor stability and the number of landslide disasters, and the relationship between landslide and the range of landform factor classification is analyzed deeply. It is found that the range of terrain factor classification plays an important role in the study of geological hazard risk and is one of the main reasons leading to the difference of some regions. Field investigation shows that river network cutting density and human engineering activities also play an important role in controlling the risk of the study area and are important terrain factors.
【作者单位】：兰州理工大学土木工程学院;
【基金】：国家自然科学基金项目(41461084) 甘肃省自然科学基金项目(145RJZA180)
【分类号】：P642.22

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