摘要
为了给相关部门提供科学的滑坡监测数据以及提前制定合理有效的防治计划,以广西岑溪地区为例,利用干涉合成孔径雷达技术和岑溪地区2016—2019年的20景哨兵-1A数据,提取了岑溪地区地表形变结果,结合地区历史降水数据综合评估了研究区内主要滑坡隐患,进行了形变时序分析。结果显示,岑溪地区的滑坡隐患主要分布在矿山采空区、公路沿线边坡、乡村山岭人为开采地带,其地表及边坡沉降多受生产建设等人为活动影响,加之广西地区重山复岭的山体地貌以及结构多变复杂的地质特点,在持续降雨的影响下加速下沉;此外,随着产业转移和地区经济的快速发展,区域内矿山、城乡公路沿线及边坡的沉降呈逐渐增强和扩大趋势。该案例可为岑溪地区的防灾减灾提供有力的数据与技术支持,并为丘陵山区的滑坡灾害隐患与形变分析提供思路与参考,也证明了干涉合成孔径雷达作为新兴雷达遥感测量手段,可以高效准确地对丘陵区域进行滑坡灾害隐患识别。
To prevent the disaster from happening and provide relevant information to local government,the surface deformation of the study area was extracted using InSAR technology and the Sentry-1A data from 2016 to 2019.Combined with precipitation data,the main landslide hazards were evaluated and the deformation time series was analyzed.The results show that the landslides in Cenxi area are mainly distributed in mine goafs,highway slopes,and mountainous zones;and the slope subsidence is mostly induced by human activities,and by local complex geology and abundant rainfall as well.This study provides scientific data and technical support for the disaster prevention and mitigation in Cenxi area,and offer ideas and references for the analysis of landslide hazards and deformation in hilly and mountainous areas.It also shows that InSAR is an emerging radar remote sensing measurement method that can efficiently and accurately identify landslide hazards in hilly areas.
作者
黄远林
施显健
任超
周吕
朱子林
HUANG Yuan-lin;SHI Xian-jian;REN Chao;ZHOU Lü;ZHU Zi-lin(College of Resources and Environment, Beibu Gulf University, Qinzhou 535011, China;College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China;Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin 541004, China)
出处
《科学技术与工程》
北大核心
2020年第30期12318-12323,共6页
Science Technology and Engineering
基金
国家自然科学基金(41461089)
广西自然科学基金(2018GXNSFBA050006)
广西科技计划(桂科AD19110107)
武汉市科技计划(2019010702011314)
武汉大学地球空间环境与大地测量教育部重点实验室开放基金(18-01-01)
桂林理工大学科研启动基金(GUTQDJJ2018036)
广西空间信息与测绘重点实验室项目(16-380-25-22,15-140-07-34)。
