Monitoring Of Subsidence Of Shendong Mining Area By Time Series InSAR Technology

Coal is one of the important energy sources in China.However,with the large-scale exploitation of mineral resources,it has brought huge economic benefits to the society.At the same time,it has also caused various geological disasters in the mining area,causing dama ge to the ecological environment of the mining area,but it has hindered The long-term development of the country and the social economy.Therefore,the comprehensive periodic dynamic monitoring of the surface deformation of the mining area and mastering its dynamic evolution process can provide a scientific basis for the safe mining of the mining area and the comprehensive management of the coal mining subsidence area.Compared with traditional geodetic techniques and GPS technology,InSAR technology achieves good results for small-scale slow surface monitoring in the monitoring of surface deformation in mining areas.However,due to the large deformation level o f the mining area,the serious coherence of time and space,and the low precision of DEM,the InSAR technology has brought severe challenges to monitoring the collapse of the mining area.In this paper,the time-lapse InSAR technology is used to monitor the collapse of the mining area,which can solve the problem of coherence in space and time and extract a large number of deformations of the mining area.The main research contents of this paper are as follows:(1)The SBAS technology was used to study the 36-sentinel data of Shendong mining area,and the mining area with obvious collapse in Shendong mining area was monitored.The deformation characteristics of the mining area were analyzed.Using IPTA technology and Stacking technology to conduct time series analysis and analysis on the mining areas in the same area,and compare the deformation monitoring of the mining areas with three technologies;(2)In this chapter,based on the Okada uniform elastic half-space dislocation model,combined with SBAS technology to obtain the surface subsidence monitoring results of Hongqinghe coal mine,the Markov chain-Monte Carlo algorithm combined with Metropolisin the geodesy Bayesian inversion software.The Hasting algorithm is used to estimate the posterior density distribution of the seven parameters.Finally,the simulated value and the observed value are optimally fitted to obtain the best fault geometry parameters.