Monitoring of Residual Subsidence in Old Goafs Based on Ultrashort-Baseline InSAR Technology

Jump To References Section

Authors

  • School of Geography & Geomatics and Urban-Rural Planning, Jiangsu Normal University, No. 101, Shanghai road, 221116, Xuzhou ,CN
  • School of Geography & Geomatics and Urban-Rural Planning, Jiangsu Normal University, No. 101, Shanghai road, 221116, Xuzhou ,CN

Keywords:

Old Goaf, Residual Subsidence, Ultrashort Baseline, InSAR, Subsidence Monitoring.

Abstract

When applying the differential interferometric synthetic aperture radar (D-InSAR) technology to high-resolution SAR data, an external digital elevation model (DEM) with comparable resolution is usually not available for removing topography-related phase component for the purpose of deformation extraction. To avoid the problem due to insufficient DEM resolution, a DEM-free InSAR approach based on ultrashort spatial baselines (USB) is introduced here, capable of overcoming DEM limitations of conventional differential InSAR technique. We analyzed the principle of selection of USB interferometric pairs, and briefed permanent scatter (PS) pixel phase modeling and parameter estimation with respect to USB technology. This method was applied to the subsidence monitoring in three old goafs in Yulin mining, Shaanxi. The corresponding law of subsidence obtained was used to establish the empirical relation between circulating peak of subsidence velocity and mining thickness as well as between subsidence velocity cycle and ratio of mining depth to mining thickness. The experiment results provide basis for predicting and evaluating the residual subsidence of old goafs.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2022-10-19

How to Cite

Bingqian, C., & Yijie, L. (2022). Monitoring of Residual Subsidence in Old Goafs Based on Ultrashort-Baseline InSAR Technology. Journal of Mines, Metals and Fuels, 64(12), 676–683. Retrieved from https://www.informaticsjournals.com/index.php/jmmf/article/view/31634

 

References

Wang Z. S., (2011): “Study on the non-linear theory of old goaf stability evaluation and its application,” M.S. thesis, Dept. Xuzhou: China University of Mining and Technology, 68-69.

Deng K. Z., Tan Z. X., Zhang H. Z., (2012): “Research on calculating method of residual subsidence of longwall goaf ,” Journal of China Coal Society, vol. 37, no. 10, pp. 1601-1605.

He G. Q., Yang L., Ling G. D., (1991): “Mining subsidence Theory,”in Xuzhou: China University of Mining and Technology Press, pp. 116-118.

Juan Manuel BarrazaBurgos, Deisy ChavesSanchez, María Patricia TrujilloUribe, Francisco Javier VelascoCharria, Jaime José AcuñaPolanco, “Thermogravimetric characteristics and kinetics of pyrolysis of coal blends,” Revista de la Facultad de Ingeniería, 2015, 30(4): 125-131.

H. T. Zhang, J. P. Wei, Y. G. Wang, Z. H. Wen, B. H. Yao, “Application of Sampling Method Based on Negative Pressure Pneumatic Conveying in Soft Coal Seam,”IJHT, vol. 34, no. 3, pp. 473-478, Sept, 2016. DOI: 10.18280/ijht.340317.

Zhang H. F. and Gao E. X. (2015): 3D numeracial simulation and influcing factors of loose top coal spontaneous combustion in roadway. International journal of heat and technology. [Online]. 33(3), pp. 91-96. Available:http://dx.doi.org/10.18280/ijht.330313.

Han B. H., (2014): “Deep repairing for coal machinery equipment based on the remanufacturing,” Int J IIETAÿvol.1, no.1, pp. 21-26,. DOI: http://dx.doi.org/10.18280/amece.010105

Li B., (2016): “Image Processing-based Quantitative Representation of Coal Porosity”, Revista de la Facultad de Ingeniería, 31(5): 180-186.

Jung H. C., Kim S. W., Jung H. S., (2007): “Satellite observation of coal mining subsidence by persistent scatterer analysis,” Engineering Geology, vol. 92, pp. 1-13.

Gueguen Y., Deffontaines B., Fruneau B., (2009): “Monitoring residual mining subsidence of Nord/Pas–de–Calais coal basin from differential and Persistent Scatterer Interferometry (Northern France),” Journal of Applied Geophysics, vol. 69, pp. 24-34.

Fan H. D., Deng K. Z., Zhu C. G., (2012): “Deformation monitoring and prediction methods for expressway above goaf based on time series SAR technique,” Journal of China Coal Society, vol. 37, no. 11, pp. 1841-1846.

Liu X. F., Deng K. Z., Fan H. D., (2014): “Study of old goaf residual deformation monitoring based on D-InSAR techniques,” Journal of China Coal Society, vol. 39, no. 3, pp. 467-472.

Rodriguez E., Morris C. S., Belz J. E, (2006): “A global assessment of the SRTM performance,” Photogrammetric Engineering & Remote Sensing, vol. 72, no. 3, pp. 249-260.

Gorokhovich Y., Voustianiouk A., (2006): “Accuracy assessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics,” Remote Sensing of Environment, vol. 104, no. 4, pp. 409-415.

Liu G. X., Jia H. G., Nie Y. J., (2014): “Detecting Subsidence in Coastal Areas by Ultrashort-Baseline TCPInSAR on the Time Series of High-Resolution TerraSAR-X Images,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 52, no. 4, pp. 1911-1923.

Liu G. X., Chen Q., Luo X. J., (2012): The theory and method of permanent scatterer interferometric radar. Beijing: Science Press,. pp.185-189.

Ferretti A., Claudio P., Rocca A., (2001): “Permanent Scatters in SAR Interferometry,” IEEE Transactions on Geoscience and Remote sensing, vol. 39, no. 1, pp. 8-20.

Chen Q., Liu G. X., Li Y. S., (2006): “Automated Detection of Permanent Scatterers in Radar Interferometry: Algorithm and Testing Results,” Acta Geodaetica et Cartographica, vol. 35, no. 2, pp. 112-117.

Ferretti A., Prati C., F. Rocca, (2000): “Non-linear subsidence rate estimation using permanent scatters in differential SAR interferometry,” IEEE Transactions on Geoscience and Remote Sensing, vol. 38, no. 5, pp. 2202-2212.

Liu G. X., Buckley S. M., X. L. Ding, (2009): “Estimating spatiotemporal ground deformation with improved permanent-scatterer radar interferometry,” Geoscience and Remote Sensing, IEEE Transactions on, vol. 47, no. 8, pp. 2762-2772.

Zhang L., Ding X. L., Lu Z., (2011): “Modeling PSInSAR time series without phase unwrapping,” Geoscience and Remote Sensing, IEEE Transactions on,vol. 49, no. 1, pp. 547-556.

Hooper A., Zebker H.A., (2007): “Phase unwrapping in three dimensions with application to InSAR time series,” JOSA A, vol. 24, no. 9, pp. 2737-2747.

Chen Q., Ding X. L., Liu G. X., (2009): “Baseline recognition and parameter estimation of persistentscatterer network in radar interferometry,” Chinese Journal of Geophysics, vol. 52, no. 9, pp. 2229-2236.