Research On Dynamic Ground Deformation Models Of Water-soluble Drilling Mine Based On SBAS-InSAR

In order to obtain the data of the settlement field of a drilling water-soluble mine,the European Space Agency Sentinel-1A image data was selected from November 12,2016 to June 06,2019,and the SBAS-InSAR technology was used to conduct time-series settlement monitoring in the study area.According to the monitoring results of SBAS-InSAR,the Richards probability integral growth model is used to predict the settlement field in the study area,and the Richards growth equation parameters are taken to specific values to carry out the applicability analysis of the Richards probability integral growth model to study the evolution model of surface settlement of drilling water-soluble mines.The main research contents of the paper include:(1)Select 26 SAR image data of the research area,use SBAS-InSAR technology to obtain the time series subsidence field data of the research area,and analyze the subsidence development law of the research area.Based on the SARScape platform,the image data is pre-processed,the Matlab program is used to extract the high coherence points of the study area,and then the singular value decomposition method(S VD)is used to solve the deformation rate of the study area,and then each time is obtained through the speed integral in each time period The shape variable of the segment can get the data of time series settlement field in the study area.(2)Using the settlement field data of the study area,statistically analyze the accumulated settlement area and accumulated settlement volume at different time and different settlement value intervals,and use Kriging interpolation method to interpolate the high coherence points in the study area to extract the settlement funnel aspect Profile data to analyze the temporal deformation characteristics of the surface of the study area.Then it is compared with the measured deformation value of the level,and the accuracy of the SBAS-InSAR experiment is verified.The root mean square error of the experimental result and the leveling result is ± 8 mm,indicating that the SBAS-InSAR test result and the leveling result show good consistency.(3)The Richards growth equation is a time function model,which establishes the evolutionary relationship between the estimated surface subsidence and time series.Most of the drilling water-soluble ore in the study area is located in the soft soil rock formation area,and the probabilistic integral method model and Richards growth equation are suitable for the prediction of the subsidence of the soft soil rock formation.Therefore,combining the Richards growth equation and the probability integral method to construct the Richards probability integral growth model can realize the prediction of subsidence at any point in the study area at any time.(4)Based on the high-coherence point settlement data obtained by the SBAS-InSAR experiment,the genetic algorithm is used to estimate the parameters of the probability integral model.The parameters are substituted into the Richards probability integral growth model,and the four-point method is used to estimate the parameters of the model.Then,the Richards probability integral growth model is used to predict the surface subsidence of the study area.Based on the leveling results,the Richards probability integral growth model and the applicability model Logistic probability integral model and Knothe probability integral model are verified respectively.The results show that the Richards probability integral growth model is better than the Logistic probability integral model,and the Logistic probability integral model is better than the Knothe probability integral model.