Study On Subsidence Deformation Monitoring Based On Multi-source Data

Surface subsidence caused by coal mining has brought a huge impact on the ecological environment and people’s production and life.It is of great significance to carry out monitoring research on mining subsidence for understanding the law of mining subsidence,the safety of surface buildings(structures)and the ecological restoration of mining areas.In view of the problem that the traditional monitoring method is time-consuming and labor-consuming and can only obtain a small amount of discrete point settlement data,which is not conducive to the system to master the features of planar settlement in the subsidence area,this study selected three technologies including leveling,UAV photophotography and InSAR to monitor the faceted subsidence of 132153 work in Wanian Mine from April 2018 to May 2019.The main research work and conclusions are as follows:(1)The same acquisition and processing scheme is adopted for multi-source data of different periods.The results show that the median errors of uav in the third stage of subsidence basin are 117 mm,163mm and 133 mm respectively,and the median errors of InSAR in the third stage of subsidence basin are 92 mm,131mm and 156 mm respectively.(2)The subsidence data obtained by UAV was removed by gross errors,and the UAV aerial survey subsidence basin was constructed by interpolation algorithms such as inverse distance weight,radial basis function,local polynomial,and kriging method.The comparative analysis shows that the local polynomial interpolation method is more suitable for uav point cloud data of 132153 working face of Wannian Mine.(3)The preprocessed Sentinel-1A satellite image with null values was subjected to spatial interpolation by using local polynomial interpolation method,and the SAR monitoring results of the 132153 working face of Wannian Mine for one year were obtained.It can reach 24 mm,and it is concluded that InSAR technology can be used to replace traditional observation methods when the surface vegetation in the mining area is small and the deformation range is small.(4)The cross-validation of the predicted surface subsidence basin and the accuracy of the surface subsidence basin obtained by the other two methods shows that the three techniques can all obtain the real shape of the subsidence basin of the Wannian Mine 132153 working face;Uav is favorable for large gradient deformation with subsidence greater than 675mm;under the same geological and mining conditions of fengfeng mining area are proposed optimal surface subsidence monitoring method is to adopt the method of combination of UAV and InSAR,greater than 675 mm in the center of the deformation of large deformation monitoring using UAV technology,on the edge of the mining area and small deformation area by InSAR monitoring,for the similar geological and mining conditions of coal mining subsidence monitoring provides the reference.