结合PS-InSAR和DS-InSAR的韩城矿区采空区地面塌陷识别

Identification of ground subsidence in goaf of Hancheng Mining Area based on PS-InSAR and DS-InSAR

针对传统InSAR技术在煤矿采空区地表沉陷监测的不足,提出了结合PS-InSAR和DSInSAR的采煤沉陷区监测方法;主要通过对覆盖韩城矿区的2018年1月—2021年4月的81景Sentienl-1A数据进行干涉处理,并将具有高散射特性的PS点和中散射特性DS点进行了分布提取,增加了稳定相干点的数量,满足了煤矿沉陷区的监测要求;并且将煤矿的工作面位置与InSAR形变范围进行对比。监测结果显示:该矿区存在的12个形变区与韩城矿区12家煤矿井田位置一一对应,12处煤矿采煤区域都发生了采煤沉陷;其中桑树坪、下峪口及象山3个大煤矿的采煤沉陷范围较大,且形变量级较大,其他小煤矿也基本都分布着范围不一的沉陷隐患,龙源煤矿在监测期内地表基本没有形变;韩城矿区最大年平均沉降速率达到了230 mm/a,最大累积沉降量达到了740 mm;InSAR技术可在煤矿采空区地表沉陷识别中发挥一定的作用。

Aiming at the shortcomings of traditional InSAR technology in monitoring surface subsidence in coal mine goaf,a monitoring method for coal mining subsidence combining PS-InSAR and DS-InSAR is proposed.The research mainly conducts interference processing on the Sentienl-1A data of 81 scenes covering Hancheng Mining Area from January 2018 to April 2021,and extracts the distribution of PS points with high scattering characteristics and DS points with medium scattering characteristics.The number of stable coherent points is increased,and the monitoring requirements of the coal mine subsidence area are met.The monitoring results show that the 12 deformation areas in this mining area correspond to the positions of the 12 coal mines in the Hancheng Mining Area one by one,and the comparison of the working face position of the coal mine with the InSAR deformation range shows that mining subsidence has occurred in the coal mining areas of the 12 coal mines.Among them,the three large coal mines,Sangshuping,Xiayukou and Xiangshan,have large coal mining subsidence ranges and large deformation levels.Other small coal mines are basically distributed with hidden dangers of subsidence in different ranges.Longyuan Coal Mine is in the monitoring period,and the surface is basically not deformed.The maximum annual average subsidence rate in Hancheng Mining Area reached 230 mm/a,and the maximum cumulative subsidence amount reached 740 mm,indicating that InSAR technology can play a certain role in the identification of surface subsidence in the goaf area of coal mines,and provide data support for postmining management of the mining area.