SBAS-InSAR形变特征监测在矿区损害鉴定分析中的应用  

Application of SBAS-InSAR Deformation Characteristic Monitoring in Cause Analysis of Building Damage

作　　者：杨隽 吴侃[2] 刁鑫鹏[2] 周大伟[2] YANG Jun;WU Kan;DIAO Xinpeng;ZHOU Dawei(Key Laboratory of Resources and Environmental Information Engineering of Jiangsu Province,Xuzhou 221116,China;School of Environment Science and Spatial Informatics,China University of Mining and Technology,Xuzhou 221116,China)

机构地区：[1]江苏省资源环境信息工程重点实验室,江苏徐州221116 [2]中国矿业大学环境与测绘学院,江苏徐州221116

出　　处：《煤矿安全》2020年第6期174-178,183,共6页Safety in Coal Mines

基　　金：国家自然科学基金资助项目(51604266);江苏省自然科学基金资助项目(BK20190624);中国博士后科学基金面上资助项目(2018M642361)。

摘　　要：山区井工开采的地表形变具有复杂性和特殊性,引起的地表破坏往往由多方面因素造成。针对常规监测手段无法准确判断建筑异常损害成因问题,以白羊岭煤矿15110工作面的开采为例,以SBAS-InSAR为技术手段,借助于8景Sentinel-1数据,解译得到了研究区地表形变的空间分布特征并分析房屋损害的成因;对所解译地表形变与现有沉陷规律的差异性,进行采区影响边界与时序下沉特征分析;得出山区开采由于岩层的不均匀移动而导致边坡的稳定性发生改变,因土体自重的分力存在,坡体会缓慢的滑移,产生的挤压是村庄建筑损害的主要原因。Surface deformation caused by mining in mountainous areas is complex and special,and surface damage is often caused by many factors.In view of the fact that conventional monitoring methods can not accurately determine the causes of abnormal building damage,taking the mining of 15110 working face Baiyangling Coal Mine as an example,taking SBAS-InSAR as a technical means,with the aid of Sentinel-1 data of 8 scenes,the spatial distribution characteristics of surface deformation in the study area are interpreted and the causes of housing damage.In this paper,the differences between the interpreted surface deformation and the existing subsidence laws are analyzed,and the influence boundary and time series subsidence characteristics of mining area are analyzed.It is concluded that the slope stability changes due to the uneven movement of the soil in the mountain area,and the slow sliding of the slope due to the presence of the component of the soil self-weight is the main cause of the damage to the village buildings.

关 键 词：SBAS-InSAR 山区井工开采 变形监测 边坡稳定性 损害鉴定 

分 类 号：TD177[矿业工程—矿山地质测量]