ISSN 1003-8035 CN 11-2852/P
    薛鑫磊,王志乾,乔港介,等. 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,2024,35(0): 1-11. DOI: 10.16031/j.cnki.issn.1003-8035.202402011
    引用本文: 薛鑫磊,王志乾,乔港介,等. 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,2024,35(0): 1-11. DOI: 10.16031/j.cnki.issn.1003-8035.202402011
    XUE Xinlei,WANG Zhiqian,QIAO Gangjie,et al. Study of dynamic characteristics of ground collapse caused by mining in Gaojialiang coal mine, Inner Mongolia, using SBAS-InSAR technology[J]. The Chinese Journal of Geological Hazard and Control,2024,35(0): 1-11. DOI: 10.16031/j.cnki.issn.1003-8035.202402011
    Citation: XUE Xinlei,WANG Zhiqian,QIAO Gangjie,et al. Study of dynamic characteristics of ground collapse caused by mining in Gaojialiang coal mine, Inner Mongolia, using SBAS-InSAR technology[J]. The Chinese Journal of Geological Hazard and Control,2024,35(0): 1-11. 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: 采空地面塌陷是井工矿开采过程中最常见的问题,若不及时监测治理可能会影响到周围建筑和环境。针对传统沉降监测方法难以在地表高低起伏、沟谷纵横的丘陵地貌矿区开展的问题,文章以内蒙古高家梁煤矿203盘区的20314、20313和20312工作面为研究对象,对2018年4月至2020年12月期间12景Sentinel-1雷达影像通过短基线集差分干涉测量技术(Small Baseline Subset InSAR,SBAS-InSAR)进行处理,获取采空地面塌陷平均位移速度以及时序沉降量等结果,进而分析其动态特征。结果表明,研究区采空地面塌陷整体平均位移速率呈现出“北部快,南部慢”的特征,最大沉降速率为−17.2 mm/a,位置处于20313工作面的北部三分之一处的位置;采空地面塌陷时序沉降量整体呈现出“由南向北,由西向东”的特征,符合实际工作面开采方向和顺序,主要沉降区分布在20314和20313工作面的北部,最大沉降量达到了−106 mm。应用表明,SBAS-InSAR技术在丘陵地貌的矿区开展采空地面塌陷监测具有良好效果和较强的技术优势,为矿区采空区采空地面塌陷监测提供一定方法支持。

       

      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/year 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 significant technical advantages in monitoring land subsidence in hilly mining areas, thereby providing certain method support for land subsidence monitoring in mining areas.

       

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