Prediction Study On Subsidence Of Mining Water-soluble Mines Based On SBAS-InSAR Technology

For a drilling water-soluble mining mine in Hunan,Sentinel-1 satellite data(from December 2015 to November 2017,a total of 44 scenes)was selected,and SBAS-InSAR technology was used to monitor mining deformation.Construct the Weibull probability integral model and estimate the surface subsidence field of the mine.The specific research work is as follows:(1)Using the small baseline set(SBAS)InSAR technology,obtain the sequence of land surface sedimentation of the mining mine and analyze the surface deformation law of the mining area.The SARscape software was used to pre-process the experimental data,and then the matlab software was used to extract the high coherence point,solve the deformation rate,and obtain the time series deformation field of the mining area.According to the results of SBAS monitoring,the research on surface subsidence in mining area mainly includes:statistical analysis of settlement point,analysis of settlement area,analysis of horizontal and vertical section of settlement funnel and analysis of single point time series settlement.Combined with the D-InSAR results and the measured level data,the accuracy of SBAS results is evaluated.(2)The static probability integral method cannot predict the mining subsidence in the mining area.Therefore,the Weibull dynamic probability integral model is constructed by combining the probability integral method with the Weibull time function.Considering that the parameter inversion of Weibull dynamic probability integral model is a nonlinear multi-parameter solving problem,the model parameter solving is divided into two parts:selecting the static probability integral method parameters in the genetic algorithm inversion model;using the least squares method to solve the dynamic subsidence Expected parameters.(3)Combining the space-time baseline and related parameter data in the SBAS experiment,the simulation experiment was carried out to verify the feasibility of the Weibull dynamic probability integral model.The residual value of the model's predicted values and the error analysis in the residuals are used to verify the feasibility of the model by using the simulated real values.(4)Using the SBAS monitoring result data,the parameters of the static probability integral method are inverted by genetic algorithm,and the dynamic subsidence prediction parameters are solved by the least squares method.According to the model,the ground settlement field of the mine is estimated,and the accuracy of the model prediction value is analyzed based on the SBAS monitoring result data and the measured level data.