SBAS-InSAR方法支持下的矿区地表沉降监测及参数反演

Monitoring and parameter inversion of ground subsidence in mining area based on SBAS-InSAR method

煤矿开采极易诱发各类地质灾害,从而对矿区人民的生命财产安全带来严重影响。因此,对矿区地表进行形变监测及对其开采面参数进行反演获得形变规律,可有效防止矿区地质灾害的发生。本文选取山西省的店坪煤矿和汾源煤业作为研究区域,基于Sentinel-1A卫星影像数据,使用小基线集(SBAS)方法提取研究区的形变结果。使用Okada模型对5—101工作面参数进行反演和分析,并将反演结果与采工图实测数据进行对比验证。结果表明:(1)煤矿开采引起的地表形变程度与煤矿开采长度成正比;(2)急倾斜厚煤层开采引发的地表形变程度要比近水平薄煤层引起的地表形变程度大,更容易造成地表塌陷;(3)Okada模型反演较短近水平薄煤层的开采参数精度较高,说明该模型适用于此类型煤矿开采参数的反演。

Coal mining-induced geological disasters have a serious impact on the lives and property safety of people in mining areas.Therefore,monitoring the ground deformation of the mining area and inversion of its mining surface parameters to obtain the deformation trend can effectively prevent the occurrence of geological disasters in the mining area. This study selects the Dianping Coal Mine and Fenyuan Coal Mine in Shanxi province as the study area. Based on the Sentinel-1A satellite image data,the small baseline subset( SBAS) method is used to extract the deformation results of the study area. The Okada model is used to invert and analyze the parameters of 5—101 working face,and the inversion results are compared with the measured data through the coal mining and excavation engineering map. Experiment results show that:(1) The degree of ground deformation caused by coal mining is proportional to the length of coal mining;(2) The degree of ground deformation caused by the mining of steeply inclined thick coal seams is greater than the degree of ground deformation caused by nearly horizontal thin coal seams,and it is more likely to cause ground collapse;(3) The Okada model has a higher accuracy in inversion of mining parameters for short,nearly horizontal thin coal seams,indicating that this model is suitable for inversion of mining parameters in this type of coal mine.