Research On Surface Subsidence Monitoring Of Coal Mining Area Based On D-inSAR Technology

In the process of coal mining will cause a variety of environmental geological disasters,such as surface subsidence,cracks and landslides,not only endanger the safety of personal property,but also serious damage to the ecological environment,resulting in social panic and other adverse effects,limiting the local economy the rapid development.Coal mining area occurred in the settlement,may occur slowly,may also develop rapidly,in order to ensure safe production,you have to through certain technical means to monitor the settlement.Synthetic Aperture Radar Differential Interferometry(D-InSAR)has been developed rapidly in recent years and has been proved to be a very efficient method for monitoring ground deformation.It is possible to obtain continuous ground deformation related information within the short time interval of the test area,measurement accuracy can reach the millimeter level.Researchers at home and abroad have conducted a number of studies on the use of D-InSAR technology to monitor surface subsidence in the mining area.In 2009,Hanssen R et al.Used D-InSAR techniques to study the subsidence of the Wieliczka salt mining area in Poland Area of the surface deformation data;In 2012,James Donovan et al.Conducted a study using the D-InSAR method in the Book Cliffs coal mine area of Utah in the western United States,and obtained the three-dimensional surface deformation map of t Based on the acquired PALSAR radar image data,the data processing flow and related commands of the "two-track" difference method are introduced in detail based on the D-InSAR technology processing software GAMMA developed by GAMMA Company in Switzerland,and the two-track differential method is used to remove the ground The effects of different algorithms on the error are discussed.he test area;The domestic researcher Ren Xiaocheng and other use of PALSAR satellite L-band radar data,the Qinghai-Tibet Plateau area for differential treatment,access to the region of permafrost deformation map,and demonstrated the D-InSAR method in the Qinghai-Tibet Plateau permafrost area to carry out the possibility of deformation monitoring.Because the space-time incoherence and atmospheric effects and other factors will affect the D-InSAR monitoring results,In order to be able to effectively solve these effects,in recent years,the development of permanent scatterers(PS),small baseline set(SBAS),least squares(LS),and so on other time-based deformation analysis methods,for monitoring a long time on a wide range of surface rough deformation of these methods is very effective,can quickly analyze the evolution of the experimental area and settlement development.Compared with the previous studies,the experimental area is located in the western part of Jiangxi Province,which belongs to hilly terrain,mountain dense forest,rich vegetation and seasonal effect.It has certain characteristics for D-InSAR research.Of the geographical relevance,can achi Based on the acquired PALSAR radar image data,the data processing flow and related commands of the "two-track" difference method are introduced in detail based on the D-InSAR technology processing software GAMMA developed by GAMMA Company in Switzerland,and the two-track differential method is used to remove the ground The effects of different algorithms on the error are discussed.eve a certain value of research.In this paper,a coal mine in Fengping of Jiangxi Province,for example,the theory and method of surface subsidence monitoring are discussed by using D-In SAR technology and Small Baseline Subset;Based on the semi-parametric gray model,the GM(1,1)model under the compensation least squares criterion is used to simulate the ground subsidence mechanism of coal mining area by D-InSAR technology.The main research contents include:(1)The basic theory and implementation method of D-InSAR technology are briefly described,and the error source of D-InSAR technology is briefly discussed.(2)Based on the acquired PALSAR radar image data,the data processing flow and related commands of the "two-track" difference method are introduced in detail based on the D-InSAR technology processing software GAMMA developed by GAMMA Company in Switzerland,and the two-track differential method is used to remove the ground The effects of different algorithms on the error are discussed.The PALSAR radar image data of long band is combined with the "two-track" differential method to obtain the surface deformation field of the mining area,and the level data are used to verify D-InSAR technology to monitor the accuracy of the results.(3)In order to solve the problem of error in time difference and elevation(DEM)in conventional D-InSAR technology,the time series subsidence map of experimental surface is obtained by using advanced D-InSAR technique-small baseline set(SBAS)As well as cumulative deformation.(4)Based on the semi-parametric gray model,GM(1,1)and semi-parametric GM(1,1)model were used to fit the D-InSAR technique to fit the data.Then analyzed the fitting precision of the two models.Semi-parameter GM(1,1)model for prediction.On the one hand,it can break the limitation of the traditional adjustment model,on the other hand,make the mathematical model and the objective reality closer together,and calculate the error of the mathematical model(nonparametric component)and the accidental error,The mechanism of ground subsidence in coal mining area can be calculated and calculated by using the information obtained in the observation value more fully.In this paper,the experimental study on the settlement monitoring of the Fengcheng coal mining area in Jiangxi Province,which carried out to verify the accuracy of the conventional D-InSAR technology and SBAS method for coal mining area.The geological conditions and climate are regional southern coal mining area Mining radar remote sensing settlement monitoring is of great significance.Finally,based on the semi-parametric gray model and the monitoring data obtained by D-InSAR,the settlement of the mining area is fitted.The settlement rule of the mining area and the settlement trend of the next stage are analyzed by analyzing the forecast data.To provide a reference for monitoring the surface subsidence,and it is a great significance to prevent the collapse of the mine.