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All issues Volume 201 (2020) E3S Web Conf., 201 (2020) 01029 References
Open Access
Issue
E3S Web Conf.
Volume 201, 2020
Ukrainian School of Mining Engineering - 2020
Article Number 01029
Number of page(s) 11
DOI https://doi.org/10.1051/e3sconf/202020101029
Published online 23 October 2020
  1. Stupnik, M.I., Kalinichenko, V.O., Kalinichenko, O.V., Muzika, I.O., Fed’ko, M.B., & Pismennyi, S.V. (2015). The research of strain-stress state of magnetite quartzite deposit massif in the condition of mine “Gigant-Gliboka” of central iron ore enrichment works (CGOK). Metallurgical and Mining Industry, (7), 377-383. [Google Scholar]
  2. Stupnik, M., Kalinichenko, V, Pysmennyi S., Kalinichenko, O., & Fedko, M. (2016). Method of simulating rock mass stability in laboratory conditions using equivalent materials. Mining of Mineral Deposits, 10(3), 46-51. https://doi.org/10.15407/mining10.03.046 [CrossRef] [Google Scholar]
  3. Fedko, M.B., Muzyka, I.O., Pysmennyi, S.V., & Kalinichenko, O.V. (2019). Determination of drilling and blasting parameters considering the stress-strain state of rock ores. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 37-41. https://doi.org/10.29202/nvngu/2019-1/20 [CrossRef] [Google Scholar]
  4. Stupnik, M., Kalinichenko, O., Kalinichenko, V., Pysmennyi, S., & Morhun, O. (2018). Choice and substantiation of stable crown shapes in deep-level iron ore mining. Mining of Mineral Deposits, 12(4),56-62. https://doi.org/10.15407/mining12.04.056. [CrossRef] [Google Scholar]
  5. Pysmenniy, S., Shvager, N., Shepel, O., Kovbyk, K., & Dolgikh, O. (2020). Development of resource-saving technology when mining ore bodies by blocks under rock pressure. E3S Web of Conferences, (166), 02006. https://doi.org/10.1051/e3sconf/202016602006 [CrossRef] [EDP Sciences] [Google Scholar]
  6. Dolgikh, A.V. (2014). Application of neural networks to investigations into the earth surface mined by underground operations. Geomatica, (1), 92-96. [Google Scholar]
  7. Dolgikh, O.V. (2018). Use of capabilities of modern devices in investigating into slides on territories of mining enterprises. Kachestvo mineralnogo syria, 323-331. [Google Scholar]
  8. Kalinichenko, V.O., Dolgikh, O.V., & Dolgikh, L.V. (2019). Digital survey in studying open pit wall deformations. E3S Web of Conferences, (123), 01047. https://doi.org/10.1051/e3sconf/201912301047 [CrossRef] [EDP Sciences] [Google Scholar]
  9. Dolgikh A.V., & Dolgikh L.V. (2019). Definition of the ground surface deformations and constructions in the rock breakage zone. Traditions and innovations of resource-saving technologies in mineral mining and processing. Multi-authored monograph (pp. 300-309). Petrosani, Romania: UNIVERSITAS Publishing. [Google Scholar]
  10. Dolgikh O., & Dolgikh L. (2020). The study of the collapse zone by remote methods. E3S Web of Conferences, (166), 03002. https://doi.org/10.1051/e3sconf/202016603002 [CrossRef] [EDP Sciences] [Google Scholar]
  11. Wang, F., Jiang, B., Chen, S., & Ren, M. (2019). Surface collapse control under thick unconsolidated layers by backfilling strip mining in coal mines. International Journal of Rock Mechanics and Mining Sciences, (113), 268-277. https://doi.org/10.1016/j.ijrmms.2018.11.006 [CrossRef] [Google Scholar]
  12. Luan, H., Lin, H., Jiang, Y., Wang, Y., Liu, J., & Wang, P. (2018). Risks Induced by Room Mining Goaf and Their Assessment: A Case Study in the Shenfu-Dongsheng Mining Area. Sustainability, 10(3), 631. https://doi.org/10.3390/su10030631 [Google Scholar]
  13. Hu, W.P. (2018). Comparative analysis on the numerical simulation and actual observation of surface movement in strip mining. Shaanxi Coal Min., (37), 91-94. [Google Scholar]
  14. Guo, G., Li, H., & Zha, J. (2019). An approach to protect cultivated land from subsidence and mitigate contamination from colliery gangue heaps. Process Safety and Environmental Protection, (124), 336-344. https://doi.org/10.1016/j.psep.2019.03.004 [CrossRef] [Google Scholar]
  15. Kayabasi, A., Yesiloglu-Gultekin, N., & Gokceoglu, C. (2015). Use of non-linear prediction tools to assess rock mass permeability using various discontinuity parameters. Engineering Geology, (185), 1-9. https://doi.org/10.1016/j.enggeo.2014.12.007 [Google Scholar]
  16. Howladar, M.F., & Hasan, K. (2014). A study on the development of subsidence due to the extraction of 1203 slice with its associated factors around Barapukuria underground coal mining industrial area, Dinajpur, Bangladesh. Environmental Earth Sciences, 72(9),3699-3713. https://doi.org/10.1007/s12665-014-3419-y [Google Scholar]
  17. Deng, K.Z, Tan, Z.X, Jiang, Y., Dai, H.Y., Shi, Y., & Xu, L.J. (2014). Deformation Monitoring and Subsidence Engineering. Xuzhou: China University of Mining and Technology Press. [Google Scholar]
  18. Fathi Salmi, E., Nazem, M., & Karakus, M. (2017). Numerical analysis of a large landslide induced by coal mining subsidence. Engineering Geology, (217), 141-152.https://doi.org/10.1016/j.enggeo.2016.12.021 [Google Scholar]
  19. Guo, W.B., & Xu, F.Y. (2015). Feasibility study on structures reconstruction in mining-affected areas. Journal Henan Polytechnic University, (34), 433-437. [Google Scholar]
  20. Diao, X., Wu, K., Zhou, D., Wang, J., Duan, Z., & Yu, Z. (2019). Combining subsidence theory and slope stability analysis method for building damage assessment in mountainous mining subsidence regions. PLOS ONE, 14(2), e0210021. https://doi.org/10.1371/journal.pone.0210021 [CrossRef] [PubMed] [Google Scholar]
  21. Chen, C., Hu, Z., Wang, J., & Jia, J. (2019). Dynamic Surface Subsidence Characteristics due to Super-Large Working Face in Fragile-Ecological Mining Areas: A Case Study in Shendong Coalfield, China. Advances in Civil Engineering, 2019, 1-16.https://doi.org/10.1155/2019/8658753 [Google Scholar]
  22. Liang, B., Yue, C., Chen, X. H., Wang, B., & Sun, X. K. (2014). The Study of Deformation Monitoring Based on the Ground Three-Dimensional Laser Scanning Technology. Advanced Materials Research, (1022), 387-391. https://doi.org/10.4028/www.scientific.net/amr.1022.387 [Google Scholar]
  23. Diao, X., Bai, Z., Wu, K., Zhou, D., & Li, Z. (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). https://doi.org/10.1007/s12665-018-7353-2 [Google Scholar]
  24. Strzałkowski, P. (2019). Some Remarks on Impact of Mining Based on an Example of Building Deformation and Damage Caused by Mining in Conditions of Upper Silesian Coal Basin. Pure and Applied Geophysics, 176(6),2595-2605. https://doi.org/10.1007/s00024-019-02127-1 [Google Scholar]
  25. Diao, X., Wu, K., Hu, D., Li, L., & Zhou, D. (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.https://doi.org/10.1080/01431161.2016.1230284 [Google Scholar]
  26. Benton, D., Iverson, S., Johnson, J., & Martin, L. (2014). Photogrammetric monitoring of rock mass behavior in deep vein mining. In 33rd International Conference on Ground Control in Mining (pp. 221-227). Morgantown, USA: West Virginia University. [Google Scholar]
  27. Benton, D.J., Warren, S.N., Sunderman, C.B., & Richardson, J.R. (2018). A novel application of photogrammetry to ground convergence monitoring in underground excavations. Novel Optical Systems Design and Optimization XXI. https://doi.org/10.1117/12.2321247 [Google Scholar]
  28. Mutke, G., Kotyrba, A., Lurka, A., Olszewska, D., Dykowski, P., Borkowski, A., … Barański, A. (2019). Upper Silesian Geophysical Observation System A unit of the EPOS project. Journal of Sustainable Mining, 18(4),198-207. https://doi.org/10.1016/j.jsm.2019.07.005 [CrossRef] [Google Scholar]
  29. Ou, D., Tan, K., Du, Q., Chen, Y., & Ding, J. (2018). Decision Fusion of D-InSAR and Pixel Offset Tracking for Coal Mining Deformation Monitoring. Remote Sensing, 10(7), 1055. https://doi.org/10.3390/rs10071055 [Google Scholar]
  30. Pawluszek-Filipiak, K., & Borkowski, A. (2020). Integration of DInSAR and SBAS Techniques to Determine Mining-Related Deformations Using Sentinel-1 Data: The Case Study of Rydułtowy Mine in Poland. Remote Sensing, 12(2), 242. https://doi.org/10.3390/rs12020242 [Google Scholar]

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