摘要
以巴东县主城区为研究对象,从地形、地质、人文和人类工程活动四个方面选取了14个静态滑坡因子,并采用时序InSAR技术提取了研究区地表形变速率作为动态滑坡因子。为消除不同滑坡因子间的量纲差异,在ArcGIS平台对滑坡因子进行分级并计算了各等级频率比(frequency ratio,FR),与滑坡点进行空间关联,从而构建了滑坡易发性评价数据集。此外,建立滑坡易发性随机森林评价模型,开展了模型精度分析,并比较了有无形变因子情况下的滑坡易发性评价结果。结果表明,引入地表形变因子时模型的AUC值由0.86提高至0.87,且易发性分区结果更加合理。巴东县城区的滑坡高易发区域主要集中于河流沿岸地区,低易发区域主要分布在离河流较远,植被茂密,海拔较高的区域。通过对典型滑坡进行形变速率时序分析,发现其随着时间发生缓慢变形,具有动态变化特征,需要加强监测。文中所提供的滑坡易发性评价方法可为区域发展提供指导,并为相关研究提供新的思路。
Focusing on the main urban area of Badong County,14 static landslide factors were selected from four aspects,namely topography,geology,humanities and human engineering activities.Additionally,time series InSAR technology was employed to extract the surface deformation rate in the study area as the dynamic landslide factor.To eliminate the dimensional differences among different landslide factors,the factors were classified in ArcGIS and the frequency ratio(FR)of each grade was calculated,and the map of each factor was spatially correlated with landslides to construct a landslide susceptibility evaluation dataset.In addition,a random forest evaluation model was established to evaluate landslide susceptibility,and the accuracy of the model was analyzed.The evaluation results of landslide susceptibility were compared with and without deformation factors.The results demonstrated that introducing the surface deformation factor increased the AUC value of the model from 0.86 to 0.87,and the susceptibility zoning was more reasonable.The high landslide-prone areas in the urban area of Badong County were mainly concentrated along the river,while the low landslide-prone areas were characterized by dense vegetation and higher altitude,located farther from the river.Through time-series analysis of the deformation rate of typical landslides,it was observed that actively changing landslides exhibited slow deformation over time,necessitating closer monitoring.The landslide susceptibility evaluation method provided in this study can offer guidance for regional development and provide insights for related research.
作者
孙焱焱
朱纪朋
郭国
王鹏
潘征
SUN Yanyan;ZHU Jipeng;GUO Guo;WANG Peng;PAN Zheng(Luanchuan Longyu Molybdenum Industry Co.,Ltd.,Luoyang 471500,China;School of Resources and Safety Engineering,Central South University,Changsha 410083,China)
出处
《自然灾害学报》
CSCD
北大核心
2024年第3期178-190,共13页
Journal of Natural Disasters
基金
中南大学研究生创新项目(2022XQLH005)
中南大学中央高校基本科研业务费专项(2023ZZTS0715)。
作者简介
孙焱焱(1986-),男,工程师,主要从事边坡稳定性研究。E-mail:913097495@qq.com。
