Time series subsidence analysis of drilling solution miningrock salt mines based on Sentinel-1 data and SBAS-InSAR technique

  • role: First author第一作者
  • Affiliation:

    State Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Changsha 410014, China

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China

  • Email:2570194165@qq.com
  • Introduction:肖亮,1994年生,男,硕士研究生,研究方向为InSAR矿山监测与数据反演。E-mail:2570194165@qq.com
Liang XIAO12,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China

Yueguang HE2,  
  • role: Corresponding author通信作者
  • Affiliation:

    State Engineering Laboratory of Highway Maintenance Technology, Changsha University of Science & Technology, Changsha 410014, China

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China

  • Email:xuemin.xing@csust.edu.cn
  • Introduction:邢学敏,1983年生,女,副教授,研究方向为利用InSAR技术监测地表沉降。E-mail:xuemin.xing@csust.edu.cn
Xuemin XING12*,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China

Debao WEN2,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China

Chenggong TONG2,  
  • Affiliation:

    School of Electrical and Information Engineering, Changsha University of Science & Technology, Changsha 410014, China

Lifu CHEN3,  
  • Affiliation:

    School of Traffic and Transportation Engineering, Changsha University of Science & Technology, Changsha 410014, China

Xiaoying YU2

реферат

Mining-induced dynamic deformations over drilling water-soluble rock salt mines may result in sever progressive damages to surface buildings and infrastructures. Long-term dynamic monitoring and real-time analysis of rock salt mines are extremely important in preventing potential geological damages. In this study, the small-baseline subset (SBAS) InSAR technique is initially used to monitor the settlement of drilling water-soluble rock salt mines. A time series analysis is carried out to obtain the time–space characteristics of land subsidence caused by drilling water-soluble mining activities. Then, the temporal and spatial evolution of the settlement funnel is revealed. Subsequently, the monitoring results are compared with both DInSAR and leveling deformation results for the reliability assessment. A temporal and spatial analysis is conducted for the surface subsidence. A typical drilling water-soluble rock salt mine in Changde, Hunan Province, China was selected as the test area. Twenty-one scenes from the Sentinel-1 image data covering the period from February 2016 to February 2017 were used to obtain the time series settlement sequence of the survey area. Experimental results indicate that the large-scale surface settlement over the mining area began to appear in September 2016 and with the characteristics of sedimentation funnel-multiplied peaks in the horizontal direction. The overall spatial distribution of the subsidence in the mining area appears as an overall sheet-like shape in the southwest part and a discrete belt-like distribution in the north-central part. These subsiding characteristics are consistent with mining activities that use drilling water-soluble technology. To evaluate the reliability of the results, the field-leveling deformation data are compared with the DInSAR deformation data. The results obtained by the SBAS technology are highly consistent with the leveling results. This study confirms the feasibility of applying SBAS-InSAR technology to the settlement monitoring of drilling water-soluble salt rock mines. The findings can provide a reference for the preliminary determination of mining cavity locations, aid in the developmental analysis of the characteristics of subsidence bowls, and help improve the recovery rate of water-soluble mining mines.

ключеви́че слова́

SBAS-InSAR;D-InSAR;mining area;mining subsidence;drilling solution mining;time series analysis

References

  1. 1.
    Ali I, Barrett B, Cawkwell F, Green S, Dwyer E and Neumann M. 2017. Application of repeat-pass TerraSAR-X staring spotlight interferometric coherence to monitor pasture biophysical parameters: limitations and sensitivity analysis. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(7): 3225–3231
  2. 2.
    Ansari H, De Zan F and Bamler R. 2017. Sequential estimator: a novel approach for efficient high-precision analysis of interferometric time series//2017 IEEE International Geoscience and Remote Sensing Symposium. Fort Worth, TX, USA: IEEE: 980–983
  3. 3.
    Bakon M, Oliveira I, Perissin D, Sousa J J and Papco J. 2017. A data mining approach for multivariate outlier detection in postprocessing of multitemporal InSAR results. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10(6): 2791–2798
  4. 4.
    Cao Y, Qiu G Y and Zou Z D. 2018. Analysis on salt mine resources and its industrial situation in China. Inorganic Chemicals Industry, 50(3): 1–5 (
  5. 5.
    Cao Y Y. 2006. Expectational research about stochastic media theories of ground surface movements for drilling solution mining. Hunan Nonferrous Metals, 22(5): 4–7 (
  6. 6.
    Casu F, Manzo M and Lanari R. 2006. A quantitative assessment of the SBAS algorithm performance for surface deformation retrieval from DInSAR data. Remote Sensing of Environment, 102(3/4): 195–210
  7. 7.
    Diao X P, Bai Z H, Wu K, Zhou D W and Li Z L. 2018. Assessment of mining-induced damage to structures using InSAR time series analysis: a case study of Jiulong Mine, China. Environmental Earth Sciences, 77(5): 166
  8. 8.
    Fan R Y, Jiao J, Gao S and Zeng Q M. 2016. Comparison research of high coherent target selection based on InSAR time series analysis. Journal of Geo-information Science, 18(6): 805–814 (
  9. 9.
    Gao W Y. 1991. Study on Surface Deformation Law Caused by Underground Mining of Rock Salt Mine. China Well and Rock Salt(3): 17–21 (
  10. 10.
    Guo L P, Yue J P and Yue S. 2017. Application of SBAS technique in surface subsidence monitoring of Nanjing Hexi Area. Bulletin of Surveying and Mapping(3): 26–28, 41 (
  11. 11.
    Jiang M, Ding X L, Li Z W, Tian X, Wang C S and Zhu W. 2014. InSAR coherence estimation for small data sets and its impact on temporal decorrelation extraction. IEEE Transactions on Geoscience and Remote Sensing, 52(10): 6584–6596
  12. 12.
    Jung J, Kim D J and Park S E. 2014. Correction of atmospheric phase screen in time series InSAR Using WRF model for monitoring volcanic activities. IEEE Transactions on Geoscience and Remote Sensing, 52(5): 2678–2689
  13. 13.
    Kuri M, Bhattacharya A, Arora M K and Sharma M L. 2016. Time series insar techniques to estimate deformation in a landslide-prone area in Haridwar region, India//2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing: IEEE: 6839–6842
  14. 14.
    Lei G Y and Zhou H. 2015. On the law of metal mining subsidence based on SBAS. Engineering of Surveying and Mapping, 24(3): 40–46 (
  15. 15.
    Li G Y, Zhang R, Liu G X, Yu B, Zhang B, Dai K R, Bao J W and Wei B W. 2018. Land subsidence detection and analysis over Beijng-Tianjin-Hebei area based on Sentinel-1A TS-DInSAR. Journal of Remote Sensing, 22(4): 633–646 (
  16. 16.
    Li S S, Li Z W, Hu J, Sun Q and Yu X Y. 2013. Investigation of the seasonal oscillation of the permafrost over Qinghai-Tibet Plateau with SBAS-InSAR algorithm. Chinese Journal of Geophysics, 56(5): 1476–1486 (
  17. 17.
    Liang W G, Zhao Y S and Wang R F. 2003. Back analysis of rock salt cavity in solution mining. Mining Research and Development, 23(4): 11–14 (
  18. 18.
    Liu X X, Wang Y J and Yan S Y. 2018. Interferometric SAR Time series analysis for ground subsidence of the abandoned Mining Area in North Peixian using Sentinel-1A TOPS data. Journal of the Indian Society of Remote Sensing, 46(3): 451–461
  19. 19.
    Ma C, Cheng X Q, Yang Y L, Zhang X K, Guo Z Z and Zou Y F. 2016. Investigation on mining subsidence based on multi-temporal InSAR and time-series analysis of the small baseline subset—Case study of working faces 22201-1/2 in Bu’ertai Mine, Shendong Coalfield, China. Remote Sensing, 8(11): 951
  20. 20.
    Narayan A B, Tiwari A, Dwivedi R and Dikshit O. 2018. Persistent scatter identification and look-angle error estimation using similar time-series interferometric pixels. IEEE Geoscience and Remote Sensing Letters, 15(1): 147–150
  21. 21.
    Ng A H M, Ge L L, Yan Y G, Li X J, Chang H C, Zhang K and Rizos C. 2010. Mapping accumulated mine subsidence using small stack of SAR differential interferograms in the Southern coalfield of New South Wales, Australia. Engineering Geology, 115(1/2): 1–15
  22. 22.
    Ning Y. 2013. Current status and thinking of full-mechanized mining technology in Chinese coal mines. Coal Mining Technology, 18(1): 1–4 (
  23. 23.
    Ouyang Z X. 1990. Experimental study on dissolution rate of glauberite. Chemical Mining Technology(5): 4–6 (
  24. 24.
    Pepe A, Solaro G, Calò F and Dema C. 2016. A minimum acceleration approach for the retrieval of multiplatform InSAR deformation time series. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8): 3883–3898
  25. 25.
    Reis A R, Catalão J, Vieira G and Nico G. 2015. Mitigation of atmospheric phase delay in InSAR time series using ERA-interim model, GPS and MODIS data: application to the permafrost deformation in Hurd Peninsula, Antarctica//2015 IEEE International Geoscience and Remote Sensing Symposium. Milan, Italy: IEEE: 3454–3457
  26. 26.
    Solberg S, Weydahl D J and Astrup R. 2015. Temporal stability of X-band single-pass InSAR heights in a spruce forest: effects of acquisition properties and season. IEEE Transactions on Geoscience and Remote Sensing, 53(3): 1607–1614
  27. 27.
    Tao Q X and Liu G L. 2014. Properties of L-band differential InSAR for monitoring mining-induced subsidence in coalfield of Jining, Northern China. Journal of Central South University, 21(4): 1508–1517
  28. 28.
    Wang G, Guo G L, Zhou C R, Tan X L and Zheng J B. 2012. Research on surface subsidence prediction for drilling solution mining. China Mining Magazine, 21(6): 104–107 (
  29. 29.
    Wang Q M. 2001. The development and prospect of solution mining. Salt Industry History Research(1): 40–43 (
  30. 30.
    Wang Y, Liao M S, Li D R, Wei Z X and Fang Z. 2007. Subsidence velocity retrieval from long-term coherent targets in radar interferometric stacks. Chinese Journal of Geophysics, 50(2): 598–604 (
  31. 31.
    Wang Y Z, Zhu J J, Ou Z Q, Li Z W and Xing X M. 2012. Coseismic slip distribution of 2009 L’Aquila earthquake derived from InSAR and GPS data. Journal of Central South University, 19(1): 244–251
  32. 32.
    Wu J T, Yang Y M, Zhou J K, Cui H X and Wang H X. 1999. Application of interconnected horizontal well drilling technology in mirabilite. Petroleum Drilling Techniques, 27(4): 7–9 (
  33. 33.
    Xing X M, Wen D B, Yuan Z H and Chen L F. 2016. Highway deformation monitoring based on CRInSAR technique//2016 IEEE International Geoscience and Remote Sensing Symposium. Beijing: IEEE: 6018–6021
  34. 34.
    Xing X M, He Y G, Wu F, Wen D B, Zhu J J and Xu P. 2016. Time series of subsidence inversion on mining area using PSInSAR. Journal of Remote Sensing, 20(3): 491–501 (
  35. 35.
    Yang Z F, Li Z W, Zhu J J, Hu J, Wang Y J and Chen G L. 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
  36. 36.
    Yang Z F, Li Z W, Zhu J J, Preusse A, Hu J, Feng G C, Wang Y J and Papst M. 2018a. 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, 11(2): 472–484
  37. 37.
    Yang Z F, Li Z W, Zhu J J, Preusse A, Yi H W, Wang Y J and Papst M. 2017. 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, 55(7): 3835–3845
  38. 38.
    Yang Z F, Li Z W, Zhu J J, Yi H W, Feng G C, Hu J, Wu L X, Preusse A, Wang Y J and Papst M. 2018b. Locating and defining underground goaf caused by coal mining from space-borne SAR interferometry. ISPRS Journal of Photogrammetry and Remote Sensing, 135: 112–126
  39. 39.
    Yin H J, Zhu J J, Li Z W, Ding X L and Wang C C. 2011. Ground subsidence monitoring in mining area using DInSAR SBAS algorithm. Acta Geodaetica et Cartographica Sinica, 40(1): 52–58 (
  40. 40.
    Zalite K, Antropov O, Praks J, Voormansik K and Noorma M. 2016. Monitoring of agricultural grasslands with time series of X-band repeat-pass interferometric SAR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(8): 3687–3697
  41. 41.
    Zhang M Q and Lang K L. 1987. Development of water soluble method in chamber and discussion on arrangement of solution mining area. Chemical Mining Technology, 16(2): 17–20 (

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