摘要
天水地区属于黄土丘陵沟壑区,地形起伏较大,区域内断裂褶皱发育,地质构造复杂,雨季期间滑坡等自然灾害频发。基于时序InSAR技术,利用哨兵一号(Sentinel-1)SAR数据对天水市中部区域内的潜在滑坡体进行早期的解译识别,发现2处存在隐患的坡体。结合地质资料,利用FLAC3D中的强度折减法,得到隐患坡体的安全系数分别为1.003和1.040。研究结果表明:采用时序InSAR技术探测出隐患坡体,再对隐患进行安全系数计算,可以对大范围区域滑坡隐患点进行精准识别和风险量化评估,从而对滑坡隐患区进行分级防治,为滑坡隐患早期识别提供思路和参考。
Tianshui region is located in loess hilly and gully region,fault folds developed,with large topographic fluctuations,complex geological structure,and frequent natural disasters such as landslides during the rainy season.This research was based on the time-series InSAR technology,and the sentinel-1 SAR data was used to interpret and identify the potential landslides in the central area of Tianshui City,then two potential landslides with hidden dangers were identified.By analyzing relevant geological data and applying strength reduction method in FLAC3D,the safety factors of hidden danger slope are 1.003 and 1.040,respectively.The results show that the method of calculating the safety factor after detecting the hidden danger slope with the time-series InSAR technology can accurately identify and quantitatively evaluate the hidden danger of landslide in a large range of regions,which is conducive to realizing the hierarchical prevention and control of the hidden danger area of landslide,and provides ideas and reference for the early identification of landslide hidden danger.
作者
毛嘉骐
李素敏
崔文东
廖园欢
成睿
MAO Jiaqi;LI Sumin;CUI Wendong;LIAO Yuanhuan;CHENG Rui(School of Land and Resources Engineering,Kunming University of Science and Technology,Kunming 650093,China;Gansu Traffic Construction Project Management Co.,Ltd.,Lanzhou 730000,China)
出处
《贵州大学学报（自然科学版）》
2023年第3期47-53,99,共8页
Journal of Guizhou University:Natural Sciences
基金
国家自然科学基金资助项目(41961053,41861054)
云南省重点研发计划资助项目(202003AC100002)
云南省科技厅面上资助项目(202101AT070102)。
