InSAR-based monitoring and analysis of ground subsidence in old goaf

被引:0
作者
Deng, Kazhong [1 ]
Wang, Liuyu [1 ]
Fan, Hongdong [1 ]
机构
[1] School of Environment Science and Spatial Informatics, Jiangsu Key Laboratory of Resources and Environment Information Engineering, China University of Mining & Technology, Xuzhou, 221116, Jiangsu
来源
Caikuang yu Anquan Gongcheng Xuebao/Journal of Mining and Safety Engineering | 2015年 / 32卷 / 06期
关键词
Ground subsidence; InSAR; Old goaf;
D O I
10.13545/j.cnki.jmse.2015.06.008
中图分类号
学科分类号
摘要
The foundation stability of old mine goaf is the key to reusing abandoned subsided land, and it needs quantities of measured data to analyze and evaluate. The traditional monitoring methods, highly precise as they are, cannot obtain historical and large-area data of subsidence. Aiming at this problem, this paper has taken the subsidence monitoring of a mine in Shaanxi province as a research subject, and the subsidence data of the mine has been obtained by processing and analyzing 19 TerraSAR images by using InSAR technology. The deformation rules of old goaf have been analyzed. Empirical formulas of subsidence velocity circulating peak and mining thickness, subsidence velocity cycle and ratio of mining depth to mining thickness and mining velocity, mining face cumulative subsidence and mining stopping halt have been established. These rules and empirical formulas can provide reference for prediction and evaluation of old goaf residual deformation. © 2015, Editorial Board of Journal of Mining & Safety Engineering. All right reserved.
引用
收藏
页码:918 / 922
页数:4
相关论文
共 13 条
[1]  
Liu X., Deng K., Fan H., Et al., Study of old goaf residual deformation monitoring based on D-InSAR techniques, Journal of China Coal Society, 39, 3, pp. 467-472, (2014)
[2]  
Guo G., Wang Y., Ma Z., A new method for ground subsidence control in coal mining, Journal of China University of Mining & Technology, 33, 2, pp. 150-153, (2004)
[3]  
Deng K., Tan Z., Zhang H., Et al., Research on calculating method of residual subsidence of longwall goaf, Journal of China Coal Society, 37, 10, pp. 1601-1605, (2012)
[4]  
Wang Z., Deng K., Edge-amended model of probability-integral method for subsidence prediction, Journal of Xi'an University of Science and Technology, 32, 4, pp. 495-499, (2012)
[5]  
Dong Y., Ge L., Chang H., Et al., Mine subsidence monitoring by differential InSAR, Journal of Wuhan University, 32, 10, pp. 888-891, (2007)
[6]  
Chen Y., Zhang G., Ding X., Et al., Monitoring earth surface deformations with InSAR technology: principle and some critical issues, Journal of Geospatial Engineering, 2, pp. 3-21, (2000)
[7]  
Ding X., Liu G., Li Z., Et al., Ground subsidence monitoring in Hong Kong with satellite SAR interferometry, Photogrammetry Engineering & Remote Sensing, 70, 10, pp. 1151-1156, (2004)
[8]  
Carnec C., Delacourt C., Three years of mining subsidence monitored by SAR interferometry, near Gardanne, France, Journal of Applied Geophysics, 43, 1, pp. 43-54, (2000)
[9]  
Perski Z., Applicability of ERS-1 and ERS-2 InSAR for land subsidence monitoring in the Silesian coal mining region in Poland, International Archives of Photo-grammetry and Remote Sensing, 32, 7, pp. 555-558, (1998)
[10]  
Wright P.A., Stow R.J., Detecting mining subsidence from space, International Journal of Remote Sensing, 20, 6, pp. 1183-1188, (1999)