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All issues Volume 526 (2024) E3S Web Conf., 526 (2024) 01022 References
Open Access
Issue
E3S Web Conf.
Volume 526, 2024
Mineral Resources & Energy Congress (SEP 2024)
Article Number 01022
Number of page(s) 8
DOI https://doi.org/10.1051/e3sconf/202452601022
Published online 20 May 2024
  1. Can, E., Mekik, C., Kuscu, S., & Akçin, H. (2011). Subsidence occurring in mining regions and a case study of Zonguldak-Kozlu Basin. Scientific Research and Essays, 6(6), 1317–1327. [Google Scholar]
  2. Can, E., Kuşcu, Ş., & Mekik, C. (2012). Determination of underground mining induced displacements using GPS observations in Zonguldak-Kozlu Hard Coal Basin. International Journal of Coal Geology, (89), 62–69. https://doi.org/10.1016/j.coal.2011.08.006 [CrossRef] [Google Scholar]
  3. Flenniken, J.M., Stuglik, S., & Iannone, B.V. (2020). Quantum GIS (QGIS): An introduction to a free alternative to more costly GIS platforms. EDIS, 2020(2), 7. https://doi.org/10.32473/edis-fr428-2020 [CrossRef] [Google Scholar]
  4. Polyanska, A., Pazynich, Y., Sabyrova, M., & Verbovska, L. (2023). Directions and prospects of the development of educational services in conditions of energy transformation: the aspect of the coal industry. Polityka Energetyczna – Energy Policy Journal, 26(2), 195–216. https://doi.org/10.33223/epj/162054 [CrossRef] [Google Scholar]
  5. Dudek, M. (2017). The analysis of the low-cost flexibility corridors. In 2017 IEEE International Conference on Innovations in Intelligent Systems and Applications (pp. 478–483). Gdynia, Poland: Gdynia Maritime University. https://doi.org/10.1109/inista.2017.8001207 [Google Scholar]
  6. Passy, P., & Théry, S. (2018). The Use of SAGA GIS Modules in QGIS. QGIS and Generic Tools, 107–149. Portico. https://doi.org/10.1002/9781119457091.ch4 [CrossRef] [Google Scholar]
  7. Polyanska, A., Pazynich, Y., Mykhailyshyn, K., & Buketov, V. (2023). Energy transition: the future of energy on the base of smart specialization. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (4), 89–95. https://doi.org/10.33271/nvngu/2023-4/089 [CrossRef] [Google Scholar]
  8. Sobczyk, E.J., & Kopacz, M. (2023). Assessing Geological and Mining Condition Nuisance and its Impact on the Cost of Exploitation in Hard Coal Mines with the Use of a Multi-Criterion Method. Archives of Mining Sciences, 63(3), 665–686. https://doi.org/10.24425/123690 [Google Scholar]
  9. Lacaze, B., Dudek, J., & Picard, J. (2018). GRASS GIS Software with QGIS. QGIS and Generic Tools, 67–106. Portico. https://doi.org/10.1002/9781119457091.ch3 [CrossRef] [Google Scholar]
  10. Polyanska, A., Pazynich, Y., Poplavska, Z., Kashchenko, Y., Psiuk, V., & Martynets, V. (2024). Conditions of Remote Work to Ensure Mobility in Project Activity. Lecture Notes in Mechanical Engineering, 151–166. https://doi.org/10.1007/978-3-031-56474-1_12 [CrossRef] [Google Scholar]
  11. Holloway, P. (2023). Getting Started with QGIS. Understanding GIS through Sustainable Development Goals, 9–17. https://doi.org/10.1201/9781003220510-3 [CrossRef] [Google Scholar]
  12. Richert, M., & Dudek, M. (2023). Risk Mapping: Ranking and Analysis of Selected, Key Risk in Supply Chains. Journal of Risk and Financial Management, 16(2), 71. https://doi.org/10.3390/jrfm16020071 [CrossRef] [Google Scholar]
  13. Shekhar, S., & Xiong, H. (2008). QGIS. Encyclopedia of GIS, 931–931. https://doi.org/10.1007/978-0-387-35973-1_1052 [Google Scholar]
  14. Sala, D., & Bieda, B. (2022). Stochastic approach based on Monte Carlo (MC) simulation used for Life Cycle Inventory (LCI) uncertainty analysis in Rare Earth Elements (REEs) recovery. E3S Web of Conferences, (349), 01013. https://doi.org/10.1051/e3sconf/202234901013 [CrossRef] [EDP Sciences] [Google Scholar]
  15. Kouda, R. (2017). GIS and Satellite Image Analysis Using QGIS (No.1 Introduction). Geoinformatics, 28(3), 111–137. https://doi.org/10.6010/geoinformatics.28.3_111 [CrossRef] [Google Scholar]
  16. Ostrowski, J. (2015). Deformacja powierzchni obszaru górniczego. Krakow, Poland: Wydawnictwo AGH, 117 s. [Google Scholar]
  17. Sobczyk, J., & Kopacz, M. (2020). Efficiency and financial standing of coal mining enterprises in Poland in terms of restructuring course and effects. Gospodarka Surowcami Mineralnymi – Mineral Resources Management. 36(2), 127–152. https://doi.org/10.24425/GSM.2020.132565 [Google Scholar]
  18. Dychkovskyi, R.O., Avdiushchenko, A.S., Falshtynskyi, V.S., & Saik, P.B. (2013) On the issue of estimation of the coal mine extraction area economic efficiency. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (4), 107–114. [Google Scholar]
  19. Florkowska, L. (2013). Example building damage caused by mining exploitation in disturbed rock mass. Studia Geotechnica et Mechanica, 35(2), 19–37. https://doi.org/10.2478/sgem-2013-0021 [CrossRef] [Google Scholar]
  20. Bazaluk, O., Kuchyn, O., Saik, P., Soltabayeva, S., Brui, H., Lozynskyi, V., & Cherniaiev, O. (2023). Impact of ground surface subsidence caused by underground coal mining on natural gas pipeline. Scientific Reports, (13), 19327. https://doi.org/10.1038/s41598-023-46814-5 [CrossRef] [PubMed] [Google Scholar]
  21. Krawczyk, A. (2023). Mining Geomatics. ISPRS International Journal of Geo-Information, 12(7), 278. https://doi.org/10.3390/ijgi12070278 [CrossRef] [Google Scholar]
  22. Sokoła-Szewioła, V., & Żogała, M. (2019). Forecast and assessment of the effects of the impact of mining tremors, induced by exploitation, on building objects with the use of GIS system. IOP Conference Series: Earth and Environmental Science, (261), 012048. https://doi.org/10.1088/1755-1315/261/1/012048 [CrossRef] [Google Scholar]
  23. Sobczyk, E. J., Kicki, J., Sobczyk, W., & Szuwarzyński, M. (2017). Support of mining investment choice decisions with the use of multi-criteria method. Resources Policy, (51), 94–99. https://doi.org/10.1016/j.resourpol.2016.11.012 [CrossRef] [Google Scholar]
  24. ISAP – Internetowy System Aktów Prawnych. (2011). Ustawa z dnia 9 czerwca 2011 r. – Prawo geologiczne i górnicze. Dziennik Ustaw, (163), 981. [Google Scholar]
  25. Orwat, J. (2016). The forecast effectiveness of mining exploitation effects on the exploited area conducted with the use of Bialek’s formulas. AIP Conference Proceedings, (1), 1738. https://doi.org/10.1063/1.4951848 [Google Scholar]
  26. Orłowski, K. (2015). Usage of geographical information systems in automotive transportation managem. Systemy Logistyczne Wojsk, 43(2), 65–84. https://doi.org/10.5604/01.3001.0012.7172 [CrossRef] [Google Scholar]
  27. Krawczyk, A. (2018). A concept for the modernization of underground mining master maps based on the enrichment of data definitions and spatial database technology. E3S Web of Conferences, (26), 00010. https://doi.org/10.1051/e3sconf/20182600010 [CrossRef] [EDP Sciences] [Google Scholar]
  28. Apollo, M., Jakubiak, M., Nistor, S., Lewińska, P., Krawczyk, A., Borowski, Ł., Specht, M., Krzykowska-Piotrowska, K., Marchel, Ł., Pęska-Siwik, A., & Maciuk, K. (2023). Geodata in science-a review of selected scientific fields. Acta Scientiarum Polonorum Formatio Circumiectus, 22(2), 17–40. https://doi.org/10.15576/ASP.FC/2023.22.2.02 [CrossRef] [Google Scholar]
  29. Duarte, L., Teodoro, A., Fernandes, J., Santos, P., & Flores, D. (2020). An Integrated Environmental Monitoring Approach through the Development of Coal Mine, a GIS Open Source Application. In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management (pp. 286–293). https://doi.org/10.5220/0009578402860293 [Google Scholar]
  30. Krawczyk, A. (2022). Proposal of Redefinition of the Terms Geomatics and Geoinformatics on the Basis of Terminological Postulates. ISPRS International Journal of Geo-Information, 11(11), 557. https://doi.org/10.3390/ijgi11110557 [CrossRef] [Google Scholar]

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