Abstract
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.
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References
Bagnardi M, Amelung F, Poland MP (2013) A new model for the growth of basaltic shields based on deformation of Fernandina volcano, Galápagos Islands. Earth and Planetary Science Letters 377:358–366, DOI: https://doi.org/10.1016/j.epsl.2013.07.016
Berardino P, Costantini M, Franceschetti G, Iodice A, Pietranera L, Rizzo V (2003) Use of differential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy). Engineering Geology 68(1–2):31–51, DOI: https://doi.org/10.1016/S0013-7952(02)00197-7
Chaussard E, Amelung F, Abidin H, Hong SH (2013) Sinking cities in Indonesia: Alos palsar detects rapid subsidence due to groundwater and gas extraction. Remote Sensing of Environment 128:150–161, DOI: https://doi.org/10.1016/j.rse.2012.10.015
Chi BW, Zhuang HF, Fan HD, Yu Y, Peng L (2021) An adaptive patch-based goldstein filter for interferometric phase denoising. International Journal of Remote Sensing 42(17):6746–6761, DOI: https://doi.org/10.1080/01431161.2021.1944693
Costantini M (1998) A novel phase unwrapping method based on network programming. IEEE Transaction on Geoscience and Remote Sensing 36(3):813–821, DOI: https://doi.org/10.1109/36.673674
Diao XP, Wu K, Hu DH, Li L, Zhou DW (2016) Combining differential SAR interferometry and the probability integral method for three-dimensional deformation monitoring of mining areas. International Journal of Remote Sensing 37(21):5196–5212, DOI: https://doi.org/10.1080/01431161.2016.1230284
Fan HD, Wang L, Wen BF, Du S (2021) A new model for three-dimensional deformation extraction with single-track insar based on mining subsidence characteristics. International Journal of Applied Earth Observation and Geoinformation 94, DOI: https://doi.org/10.1016/j.jag.2020.102223
Hilley GE, Burgmann R, Ferretti A, Novali F, Rocca F (2004) Dynamics of slow-moving landslides from permanent scatterer analysis. Science 304(5679):1952–1955, DOI: https://doi.org/10.1126/science.1098821
Jiang C, Wang L, Yu XX, Chi SS, Wei T, Guo QB (2021) DPIM-based insar phase unwrapping model and a 3D mining-induced surface deformation extracting method: A case of Huainan mining area. KSCE Journal of Civil Engineering 25(2):654–668, DOI: https://doi.org/10.1007/s12205-020-5288-0
Li ZW, Yang ZF, Zhu JJ, Hu J, Wang YJ, Li PX, Chen GL (2014) Retrieving three-dimensional displacement fields of mining areas from a single InSAR pair. Journal of Geodesy 89(1):17–32, DOI: https://doi.org/10.1007/s00190-014-0757-1
Lu L, Fan HD, Liu J, Liu JL, Yin JF (2019) Time series mining subsidence monitoring with temporarily coherent points interferometry synthetic aperture radar: A case study in Peixian, China. Environmental Earth Sciences 78(15), DOI: https://doi.org/10.1007/s12665-019-8475-x
Ng A, Ge LL, Zhang K, Chang HC, Li XJ, Rizos C, Omura M (2011) Deformation mapping in three dimensions for underground mining using InSAR — Southern highland coalfield in New South Wales, Australia. International Journal of Remote Sensing 32(22):7227–7256, DOI: https://doi.org/10.1080/01431161.2010.519741
Pritchard ME, Simons M (2004) An InSAR-based survey of volcanic deformation in the central Andes. Geophysical Research Letters 5(2), DOI: https://doi.org/10.1029/2003gc000610
Samsonov S, Oreye ND, Smets B (2013) Ground deformation associated with post-mining activity at the French — German border revealed by novel InSAR time series method. International Journal of Applied Earth Observation and Geoinformation 23:142–154, DOI: https://doi.org/10.1016/j.jag.2012.12.008
Tang FQ, Dong LK, Wang ZL, Huang JC (2019) A 3-D inversion model for InSAR detected displacements based on ground subsidence symmetry induced by horizontal coal mining. Journal of the China Coal Society 44(1):210–220, DOI: https://doi.org/10.13225/j.cnki.jccs.2018.0698 (in Chinese)
Wang LY, Deng KZ, Fan HD, Zhou FP (2018) Monitoring of large-scale deformation in mining areas using sub-band InSAR and the probability integral fusion method. International Journal of Remote Sensing 40(7):2602–2622, DOI: https://doi.org/10.1080/01431161.2018.1528403
Wang L, Guo GL, Wang MZ, Zhang XN (2014) New method of updating design for model and its parameter to prediction surface movement in mountainous mining. Journal of the China Coal Society 39(39): 1070–1076, DOI: https://doi.org/10.13225/j.cnki.jccs.2013.0804 (in Chinese)
Wang L, Jiang KG, Wei T (2021) Development of a new inversion method for detecting spatiotemporal characteristics of coal mines based on earth observation technology. International Journal of Applied Earth Observation and Geoinformation 100, DOI: https://doi.org/10.1016/j.jag.2021.102346
Wang L, Jiang C, Zhang XN, Zha JF (2019) Monitoring method of surface subsidence induced by inclined coal seam mining based on single line of sight D-InSAR. Geomatics and Information Science of Wuhan University 44(6):814–820, DOI: https://doi.org/10.13203/j.whugis20170300 (in Chinese)
Wang ZW, Yu SW, Tao QX, Liu GL, Hao HD, Wang K, Zhou CY (2017) A method of monitoring three-dimensional ground displacement in mining areas by integrating multiple InSAR methods. International Journal of Remote Sensing 39(4):1199–1219, DOI: https://doi.org/10.1080/01431161.2017.1399473
Wright TJ, Ebinger C, Biggs J, Ayele A, Yirgu G, Keir D, Stork A (2006) Magma-maintained rift segmentation at continental rupture in the 2005 Afar dyking episode. Nature 442:291–294, DOI: https://doi.org/10.1038/nature04978
Wu K (1998) Mining subsidence prediction system. China University of Mining and Technology Press, Xuzhou, China, 28–39 (in Chinese)
Xu JM, Zhu WB, Xu JL, Wu JY, Li YC (2021) High-intensity longwall mining-induced ground subsidence in Shendong coalfield, China. International Journal of Rock Mechanics and Mining Sciences 141, DOI: https://doi.org/10.1016/j.ijrmms.2021.104730
Yang ZF, Li ZW, Zhu JJ, Feng GC, Wang QJ, Hu J, Wang CC (2017a) Deriving time-series three-dimensional displacements of mining areas from a single-geometry InSAR dataset. Journal of Geodesy 92:529–544, DOI: https://doi.org/10.1007/s00190-017-1079-x
Yang ZF, Li ZW, Zhu JJ, Hu J, Wang YJ, Chen GL (2016) InSAR-based model parameter estimation of probability integral method and its application for predicting mining-induced horizontal and vertical displacements. IEEE Transactions on Geoscience and Remote Sensing 54(8):4818–4832, DOI: https://doi.org/10.1109/tgrs.2016.2551779
Yang ZF, Li ZW, Zhu JJ, Preusse A, Hu J, Feng GC, Papst M (2018a) Time-series 3-D mining-induced large displacement modeling and robust estimation from a single-geometry SAR amplitude data set. IEEE Transactions on Geoscience and Remote Sensing 56(6):3600–3610, DOI: https://doi.org/10.1109/tgrs.2018.2802919
Yang ZF, Li ZW, Zhu JJ, Preusse A, Hu J, Feng GR, Wang YJ, Papst M (2018b) An InSAR-based temporal probability integral method and its application for predicting mining-induced dynamic deformations and assessing progressive damage to surface buildings. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 99:1–13, DOI: https://doi.org/10.1109/JSTARS.2018.2789341
Yang ZF, Li ZW, Zhu JJ, Wang YD, Wu LX (2020) Use of SAR/InSAR in mining deformation monitoring, parameter inversion, and forward predictions: A review. IEEE Geoscience and Remote Sensing Magazine 8(1):71–90, DOI: https://doi.org/10.1109/MGRS.2019.2954824
Yang ZF, Li ZW, Zhu JJ, Yi HW, Hu J, Feng GC (2017b) Deriving dynamic subsidence of coal mining areas using InSAR and logistic model. Remote Sensing 9(125):1–19, DOI: https://doi.org/10.3390/rs9020125
Yao JM, Yao X, Wu ZQ, Liu XH (2021) Research on surface deformation of ordos coal mining area by integrating multitemporal D-InSAR and offset tracking technology. Journal of Sensors 2021(4):1–14, DOI: https://doi.org/10.1155/2021/6660922
Yuan L, Jiang YD, Wang K, Zhao YX, Hao XJ, Xu C (2018) Precision exploitation and utilization of closed/abandoned mine resources in China. Journal of China Coal Society 43(1):14–20, DOI: https://doi.org/10.13225/j.cnki.jccs.2017.1803 (in Chinese)
Zhang YH, Wu HA, Kang YH, Zhu CG (2016) Ground subsidence in the Beijing-Tianjin-Hebei region from 1992 to 2014 revealed by multiple sar stacks. Remote Sensing 8(8), DOI: https://doi.org/10.3390/rs8080675
Zheng MN, Deng KZ, Fan HD, Huang JL (2018) Monitoring and analysis of mining 3D deformation by multi-platform SAR images with the probability integral method. Frontiers of Earth Science 13(1):169–179, DOI: https://doi.org/10.1007/s11707-018-0703-2
Zhu JJ, Yang ZF, Li ZW (2019) Recent progress in retrieving and predicting mining-induced 3D displacements using InSAR. Acta Geodaetica et Cartographica Sinica 48(2):135–144, DOI: https://doi.org/10.11947/j.AGCS.2019.20180188 (in Chinese)
Acknowledgments
The authors thank the European Space Agency (ESA) for providing the radar images data of Sentinel-1. The authors thanks to reviewers for spending a lot of time reviewing manuscripts. The work was supported by the National Natural Science Foundation of China [Grant numbers 52074010,41474026], Excellent youth project of Anhui Natural Science Foundation [Grant numbers 2108085Y20] and Anhui Natural Science Fund Project [Grant numbers 2008085MD114].
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Jiang, C., Wang, L., Yu, X. et al. A New Method of Monitoring 3D Mining-Induced Deformation in Mountainous Areas Based on Single-Track InSAR. KSCE J Civ Eng 26, 2392–2407 (2022). https://doi.org/10.1007/s12205-022-1583-2
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DOI: https://doi.org/10.1007/s12205-022-1583-2