A 3-D inversion model for InSAR detected displacements based on ground subsidence symmetry induced by horizontal coal mining

被引：0
|
作者：
Tang F. [1 ]
Dong L. [1 ]
Wang Z. [1 ]
Huang J. [1 ]
机构：
[1] College of Geomatics, Xi'an University of Science and Technology, Xi'an
来源：
Meitan Xuebao/Journal of the China Coal Society | 2019年 / 44卷 / 01期
关键词：
Deformation monitoring; InSAR; Mining subsidence; Symmetry; Three-dimensional displacements inversion;
D O I：
10.13225/j.cnki.jccs.2018.0698
中图分类号：
学科分类号：
摘要：
When using synthetic aperture radar interferometry (InSAR) technology to monitor coal mining sub-sidence, the displacement of radar line of sight (LOS) obtained is the vector superposition of three-dimensional displacement of surface points in vertical, north-south, east-west directions.Decomposing the LOS displacement into the surface subsidence and the horizontal displacement along the strike and incline of the working face is the basis for studying the law of mining subsidence and obtaining the parameters of surface movement.At present, the main method of inverting mining subsidence three-dimensional displacement based on InSAR LOS displacement is using three SAR images of different orbiting satellites to establish LOS displacement equations for solving three-dimensional displacement components.According to the prediction model of mining subsidence, the horizontal displacement of surface is regarded as the correlation function of subsidence, and the subsidence and horizontal displacement are calculated from a single SAR image.The LOS displacement is projected into the sub-sidence component through directly ignoring the influence of horizontal displacement.Based on the analysis of the limitations of the above methods and the basic characteristics of the surface subsidence and horizontal displacement of the near-horizontal coal seam mining on the main section of the mobile basin, the geometric equations of the multi-period InSAR LOS superposition displacement on the symmetry point of the surface moving basin was established.The equations are superimposed and differentially processed to derive the function model for LOS displacement inversion three-dimensional mining displacement.During the advancement of the working surface, because of the hysteresis of the surface movement, the center of the dynamic subsidence basin deviates to the side of the open hole.According to the characteristics of the central surface subsidence of the moving basin reaching the maximum and the horizontal displacement approaching zero, the dynamic center position of the surface moving basin is automatically searched based on the superposition and difference of the LOS displacement of adjacent pixels.Thereby, the decomposition of the dynamic three-dimensional displacement of the surface during the advancement of the working surface is realized.In this paper, the above three-dimensional displacement inversion model is implemented based on the platform of Matlab, and the model was validated by multi-phase InSAR data.The inversion results of subsidence and horizontal displacement are in a good agreement with the measured data, which is obviously superior to the method of directly decomposing surface subsidence without considering horizontal displacement.This model can be used to decompose the three-dimensional displacement monitored by InSAR in the process of surface movement stability and dynamic movement in near-horizontal coal seam mining. © 2019, Editorial Office of Journal of China Coal Society. All right reserved.
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页码：210 / 220
页数：10
相关论文
共 12 条
  • [1] Li Z., Yang Z., Hu J., Retrieving three-dimensional displacement fields of mining areas from a single InSAR pair, Journal of Geodesy, 89, 1, pp. 17-32, (2015)
  • [2] Wright T.J., Toward mapping surface deformation in three dimensions using InSAR, Geophyical Research Letters, 31, 1, pp. 69-76, (2004)
  • [3] Luo Y., An improved influence function method for predicting subsidence caused by longwall mining operations in inclined coal seams, International Journal of Coal Science & Technology, 2, 3, pp. 163-169, (2015)
  • [4] Hu Z., Chen C., Xiao W., Et al., Surface movement and deformation characteristics due to high-intensive coal mining in the windy and sandy region, International Journal of Coal Science & Technology, 3, 3, pp. 339-348, (2016)
  • [5] Yang Z., Li Z., Zhu J., An extension of the InSAR-based probability integral method and its application for predicting 3-D mining-induced displacements under different extraction conditions, IEEE Transactions on Geoscience and Remote Sensing, pp. 3835-3845, (2017)
  • [6] Yang Z., Li Z., Zhu J., Deriving dynamic subsidence of coal mining areas using InSAR and logistic model, Remote Sensing, 9, 2, (2017)
  • [7] Liu X., Deng K., Fan H., Et al., D-InSAR monitoring of residual deformation in old goafs, Journal of China Coal Society, 39, 3, pp. 467-472, (2014)
  • [8] Zhang X., Ge D., Wu L., Study on ground subsidence monitoring of mining cities based on short baseline InSAR of coherent targets, Journal of China Coal Society, 37, 10, pp. 1606-1611, (2012)
  • [9] Li P., Tan Z., Deng K., Study of probability integration method parameter inversion by the genetic algorithm, International Journal of Mining Science and Technology, 27, 6, pp. 1073-1079, (2017)
  • [10] Li P., Tan Z., Yan L., Et al., Parameter calculation method of probability integral method based on support vector machine, Journal of China Coal Society, 35, 8, pp. 1247-1251, (2010)
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