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Research On 3D Surface Deformation Monitoring And Probability Integral Parameter Inversion Method Of Mining Area Based On D-InSAR Technology

Posted on:2021-01-03Degree:MasterType:Thesis
Country:ChinaCandidate:Y C NiuFull Text:PDF
GTID:2370330605456843Subject:Geodesy and Survey Engineering
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With the rapid economic and social development,the demand for resources will continue to increase,especially the demand for coal resources,but it has brought a series of environmental problems in the development of coal resources.Coal mining will cause a large area of the surface.The damage caused by sunken and surface vegetation ecosystems and destroyed houses is huge,so it is necessary to adopt effective monitoring methods to reduce the damage caused by coal mining to the environment.The traditional measurement and monitoring of the surface deformation of mining areas has not been able to meet the needs of the current social development,and the synthetic aperture radar differential interferometry(D-InSAR)technology can continuously monitor the surface deformation,highly automated,all-weather and high-precision monitoring,with the accuracy of centimeter level or even millimeter level,which makes up for the shortcomings of the traditional measurement,and has an important role in monitoring the surface settlement of mining areas Application value and broad application prospect.However,the deformation variable obtained by D-InSAR technology is only the LOS deformation value,and three-dimensional deformation cannot be obtained.There are certain limitations in the monitoring and prediction of surface deformation in mines.This article aims at this problem,combining the principle of D-InSAR technology and mining Discussion and research on the principle of subsidence prediction.The main results obtained are as follows:(1)By analyzing the principle of D-InSAR technology and the data processing flow of D-InSAR technology,it is concluded that the main factors affecting the image monitoring results are spatial decoherence,temporal decoherence,etc.,and the image data with short time and spatial baseline are selected as far as possible for interference;by comparing the two orbit method,three orbit method and four orbit method of D-InSAR technology,this paper selects the two orbit method to process the InSAR number According to this,the Los oriented variables of each period are obtained to provide data support for the subsequent three-dimensional decomposition model.(2)The three-dimensional displacement decomposition model of near horizontal coal seam mining based on the improved subsidence symmetry feature and the three-dimensional displacement decomposition model of inclined coal seam mining based on single line of sight are analyzed.In this paper,according to the image above the research area of the radar satellite return visit,the relationship between the Los direction displacement and the east-west direction,north-south direction and sinking direction is obtained through processing,and then combined with the coal mining subsidence law,the above two models are constructed.Based on the geological mining in Huaibei mining area,the simulation of the working faces respectively verified the feasibility of the two models.Taking the Radarsat-2 image data of the 7226 working face of Yuandian No.2 Mine as an example,the three-dimensional displacement of inclined coal seam mining based on the single line of sight Decompose the model for engineering application,successfully extract the amount of sinking and horizontal movement between 2013.11.01-2013.12.31,and further verify the feasibility of the model.(3)Based on D-InSAR technology,a probability integral parameter artificial fish swarm algorithm inversion model is constructed.By the analysis of the projection relationship between the displacement and deformation in Los direction of D-InSAR and the east-west direction,north-south direction and vertical direction of the mining area,combined with the geological and mining conditions of the study area,the probability integral parameters are inversed by using the nonlinear programming theory,and the probability integral parameter artificial fish group inversion model based on D-InSAR technology is constructed.With the help of the model established in this paper,the probability integral parameters of the mining area can be accurately obtained by simulating the working face of the mining area.Taking the measured data of 1025 working face of Yuandian No.2 Mine as an example,the application analysis of engineering cases is carried out according to the parameter inversion model established in this paper.The errors in the fitting of x and z lines on the working face of 1025 working face are 4.37mm and 4.05mm,respectively.The results show that the model based on this paper can accurately calculate the probability integral parameters of the working face.Figure[40]table[15]reference[82]...
Keywords/Search Tags:differential interferometry synthetic aperture radar(D-InSAR), probability integral parameters, three-dimensional decomposition model, artificial fish swarm algorithm(AFSA), mining subsidence
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