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        A New Method of Monitoring 3D Mining-Induced Deformation in Mountainous Areas Based on Single-Track InSAR

        Chuang Jiang,Lei Wang,Xuexiang Yu,Weicai Lv,Xu Yang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.5

        3D surface deformation monitoring methods based on the current single-track Interferometric Synthetic Aperture Radar (InSAR) technology are constructed by integrating the deformation laws of mining horizontal or gently inclined coal seams in plain areas, which are not suitable for monitoring the 3D deformation of mining in mountainous areas. Therefore, we developed a new method of extracting 3D deformation of mining in mountainous areas by using single-track InSAR technology. Firstly, the Line of Sight (LOS) deformation equations were established based on geometric relations between the InSAR monitored LOS deformation and 3D surface deformation. Secondly, they were fused with basic principles of surface deformation and movement of mining in mountainous areas. Then they were solved based on relevant boundary conditions. Simulation results of this novel method showed that the accuracy values of extracted deformation along vertical section, East-West (EW) and North-South (NS) were better than 8.86 mm, 8.29 mm and 18.01 mm, respectively. Compared with Wang method, this method is suitable for surface deformation monitoring of mining subsidence in mountainous areas. Finally, the proposed method was successfully used to monitor the 3D deformation of mining in the mountainous area of Tangjiahui Coal Mine in Ordos, Inner Mongolia, China.

      • KCI등재

        DPIM-Based InSAR Phase Unwrapping Model and a 3D Mining-Induced Surface Deformation Extracting Method: A Case of Huainan Mining Area

        Chuang Jiang,Lei Wang,Xuexiang Yu,Shenshen Chi,Tao Wei,Xuelin Wang 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.2

        The mining subsidence in mining area could cause large-gradient deformation in a short period of time. When the deformation gradient exceeds the threshold value of the Differential Interferometry Synthetic Aperture Radar (D-InSAR) technology monitoring gradient, D-InSAR technology is likely to cause the failure of InSAR phase unwrapping algorithm. At this time, the InSAR technology is unable to monitor the 3D surface deformation. Aiming at these problems, an dynamic probability integral method (DPIM)-based InSAR phase unwrapping model and a method of extracting 3D surface deformation were proposed. The phase unwrapping model firstly used the empirical parameters of the probability integral of the mining face to predict the line of sight (LOS) direction deformation phase of the mining subsidence surface. Secondly, the phase of differential interferogram was unwrapped with the assist of the predicted LOS deformation phase under the constraint of DPIM, and the true LOS deformationphase was obtained, then the true LOS deformation phase transformed into LOS deformation. Finally, according to the geometric projection relationship between the LOS deformation and 3D deformation of mining subsidence surface, the probability integral prior model was brought into the equation of the geometric projection relationship. On the basis of relevant boundary conditions, the 3D surface deformation was extracted from the LOS direction deformation field of mining subsidence. The feasibility of the method was verified by the simulation experiment results. The differential interferogram of the subsidence basin was obtained by the differential interference processing of image data of Sentinel-1A on Nov. 16, 2017 and Dec. 10, 2017 of 1613 working face of Guqiao South Mine. By using the DPIM-based phase unwrapping model, the phase of differential interferogram was unwrapped and the 3D surface deformation during this period as well as the deformation extraction method were developed. The results showed that the maximum fitting error value of subsidence was 79 mm, about 8.33% of the maximum value of subsidence, and the fitting error of mean square of subsidence was ±33.5 mm. The results showed that the DPIM-based phase unwrapping model and the method of extracting 3D surface deformation proposed in this paper have certain engineering application values.

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