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Research On Mining Subsidence Monitoring Method Based On D-InSAR And Knothe Time Function

Posted on:2021-02-28Degree:MasterType:Thesis
Country:ChinaCandidate:W W ChenFull Text:PDF
GTID:2381330605956843Subject:Cartography and Geographic Information Engineering
Abstract/Summary:PDF Full Text Request
All along,the surface subsidence caused by mining has become a common geological disaster,which seriously affects the changes of the lives and ecological environment of nearby residents.Mineral resources are also indispensable raw materials for economic development,so formulating reasonable mining plans to minimize losses has attracted more and more social attention.In view of the shortcomings of traditional measurement methods,such as low spatial and temporal resolution,high cost,a lot of manpower and material resources,and the difficulty of saving monitoring points,a new measurement method is urgently needed to be replaced.Synthetic Aperture Radar Interferometry(InSAR)technology gradually stands out with its advantages of high spatio-temporal resolution,low cost,freedom from climate,and observations throughout the day,and its monitoring accuracy can reach centimeter or even millimeter level.Although the deformation amount obtained by D-InSAR is along the radar line of sight(LOS direction),it can still reflect the law of surface changes during mining.This paper mainly relies on D-InSAR technology to monitor the surface deformation of the mining area,and obtain the LOS-oriented settlement field.Combining the probability integral formula,the relationship between the LOS-oriented deformation variable and the true three-dimensional deformation is analyzed to obtain the vertical settlement of the mining area.Considering that the D-InSAR technology has a large gradient deformation problem in the center of the mining area,the Knothe function is used to predict the subsidence value in the corresponding time period for filling.Finally,combining the advantages of the two,the inverse distance weighting method is used to fuse the above two data.The main research contents are as follows:(1)Because the deformation variables obtained by the D-InSAR technology cannot truly reflect the three-dimensional deformation of the mine surface,the feasibility of extracting the three-dimensional deformation of the mining area from the single sight line to the D-InS AR technology is analyzed and studied.According to the prediction formula of the probability integral of mining,the relationship between the horizontal movement,tilt and subsidence value of a point can be obtained,and it can be substituted into the LOS projection equation,which can realize the method of extracting the three-dimensional deformation from the D-InSAR technology with single line of sight,Its feasibility and accuracy are verified by simulation experiments.(2)In order to make the settlement law conform to the actual situation,the three-parameter Knothe time function is introduced into the dynamic prediction formula to analyze and study the prediction formula of the strike line of the subsidence basin and any point at any time during the underground mining process.It provides research ideas for D-InSAR technology to monitor the large gradient deformation in the center of the mining area,and takes the actual measurement data of 1613(1)working face in Huaqiao South Guqiao South Mine as an example to verify the accuracy.(3)In order to combine the advantages of both D-InSAR technology and Knothe function prediction method,this paper proposes a method of fusing D-InSAR data with Knothe function prediction data.The inverse distance weighting method is used to fuse the two kinds of data in the public area,and the pixel value at the false value of the SAR image is filled,and the measured data of the working face of 1613(1)Guqiao South Mine is taken as an example to verify the feasibility of the algorithm.Fig[26]table[6]parameter[68]...
Keywords/Search Tags:D-InSAR, three-dimensional deformation extraction, dynamic prediction, surface subsidence monitoring of mining area, inverse distance weighting method
PDF Full Text Request
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