中国地质灾害与防治学报2025，Vol.36Issue(3)：84-94,11.DOI:10.16031/j.cnki.issn.1003-8035.202402011
基于SBAS-InSAR技术的内蒙古高家梁矿区采空地面塌陷动态特征研究
Study of dynamic characteristics of ground collapse caused by mining in Gaojialiang coal mine,Inner Mongolia,using SBAS-InSAR technology
摘要
Abstract
Ground collapse due to mining activities is a prevalent issue in underground coal mining processes.Without timely monitoring and control,it can adversely affect the surrounding structures and the environment.Addressing the challenges of traditional subsidence monitoring methods in the mining areas with uneven hilly terrain,this study focuses on the 20314,20313,and 20312 working faces within the 203 panel of Gaojialiang coal mine area,Inner Mongolia.It employs 12 images of Sentinel-1 radar from April 2018 to December 2020 processed using the small baseline subset differential interferometry InSAR(SBAS-InSAR)technique to derive average displacement velocities and temporal subsidence data in the study area.The study analyzes the dynamic characteristics of subsidence in the area.The results show that the overall subsidence rate is higher in the northern part of the study area compared to the south,with the maximum subsidence rate of approximately-17.2 mm/a observed in the northern third of the 20313 working face.The subsidence pattern generally progresses from south to north and from west to east,corresponding to the actual mining sequence.Major subsidence areas are concentrated in the northern portions of the 20314 and 20313 working faces,with maximum subsidence reaching about-106 mm.The application shows that SBAS-InSAR technology has effective results and significantly technical advantages in monitoring land subsidence in hilly mining areas,thereby providing certain method support for land subsidence monitoring in mining areas.关键词
高家梁矿区/丘陵地貌/SBAS-InSAR/地面塌陷/特征分析Key words
Gaojialiang mining area/hilly topography/SBAS-InSAR/ground collapse/characteristic analysis分类
矿山工程引用本文复制引用
薛鑫磊,王志乾,乔港介,李光柱,白小军,范军富,籍进柱..基于SBAS-InSAR技术的内蒙古高家梁矿区采空地面塌陷动态特征研究[J].中国地质灾害与防治学报,2025,36(3):84-94,11.基金项目
矿山地质环境和灾害监测预警关键技术研究技术服务项目(PH2023000056) （PH2023000056）
内蒙古工业大学博士科研启动项目(BS2020024) （BS2020024）
内蒙古自治区自然科学基金项目(2024MS04025) （2024MS04025）
