PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Identifying the Potential Application of Unmanned Aerial Vehicle Technology in Mine Waste Dumps

Autorzy
Treść / Zawartość
Identyfikatory
Warianty tytułu
PL
Identyfikacja potencjalnych zastosowań technologii bezzałogowych dronów na składowiskach odpadów kopalnianych
Konferencja
POL-VIET 2023 — the 7th International Conference POL-VIET
Języki publikacji
EN
Abstrakty
EN
In recent years, unmanned aerial vehicles (UAV) have been applied in the mining sector for a variety of purposes. This paper discusses the use of UAVs in the management of mine waste dumps based on analyzing scientific publications (January 2010 to May 2023). Three bibliography databases including Scopus, Google Scholar, and Web of Science were used to perform a thorough assessment of the literature. This study provides a comprehensive overview of UAV applications in mine waste dumps including environmental management, terrain surveying and 3D modeling, and safety and risk management. The obtained results of the study hope to give a technical reference, enhancing the understanding of UAV monitoring in mine waste dump.
Słowa kluczowe
Rocznik
Strony
163--172
Opis fizyczny
Bibliogr. 64 poz., rys., tab., wykr., zdj.
Twórcy
  • Hanoi University of Natural Resources and Environment
Bibliografia
  • 1. Cebada, J.D.P., Mining corporations and air pollution science before the Age of Ecology. Ecological Economics, 2016. 123: p. 77-83.
  • 2. Tabish, R., et al., Predicting the Settlement of Mine Waste Dump Using Multi-Source Remote Sensing and a Secondary Consolidation Model. Frontiers in Environmental Science, 2022: p. 526.
  • 3. Romero, A., et al., Risk assessment of particle dispersion and trace element contamination from mine-waste dumps. Environmental geochemistry and health, 2015. 37: p. 273-286.
  • 4. Council, N.R., Coal waste impoundments: Risks, responses, and alternatives. 2002: National Academies Press.
  • 5. Wei, L., et al., Analysis of mining waste dump site stability based on multiple remote sensing technologies. Remote Sensing, 2018. 10(12): p. 2025.
  • 6. Xu, F. and L. Sun. The remote sensing recognition and extraction of waste dump in mining area using multi-source and multi-temporal remote sensing data. in The 2nd International Conference on Information Science and Engineering. 2010. IEEE.
  • 7. Oparin, V., et al., Studies into the process of mine waste dump filling up by vegetation using remote sensing data. Journal of Mining Science, 2013. 49: p. 976-982.
  • 8. Rodríguez-Hernández, A., et al., Processing methodology based on ASTER data for mapping mine waste dumps in a semiarid polysulphide mine district. Canadian Journal of Remote Sensing, 2016. 42(6): p. 643-655.
  • 9. Dev, P.P. and E.T. Goyal, Assessment Of Waste Dump Slope Stability At Iron Ore Mines. Assessment, 2019. 6(05).
  • 10. Cordeiro, M., et al., Mapping mining wastes and analyzing affected areas through expeditious physico-chemical parameters. 2017.
  • 11. Campbell, D.L. and D.V. Fitterman. Geoelectrical methods for investigating mine dumps. in Proceedings of the 5th International Conference on Acid Rock Drainage (ICARD 2000), Denver, Colo. 2000. Citeseer.
  • 12. Power, C., et al., Combined DC resistivity and induced polarization (DC-IP) for mapping the internal composition of a mine waste rock pile in Nova Scotia, Canada. Journal of Applied Geophysics, 2018. 150: p. 40-51.
  • 13. Georgios, K.N. and S.G. Anastasia, Geostatistical Interpolation with GIS in Mapping Heavy Metals Concentrations for Preliminary Site Investigation of Old Mining Waste Dump. 2020.
  • 14. Jessop, M., et al., Magnetometric resistivity: a new approach and its application to the detection of preferential flow paths in mine waste rock dumps. Geophysical Journal International, 2018. 215(1): p. 222-239.
  • 15. Igwe, O. and C. Chukwu, Slope stability analysis of mine waste dumps at a mine site in Southeastern Nigeria. Bulletin of Engineering Geology and the Environment, 2019. 78: p. 2503-2517.
  • 16. Hu, Z. and Q. Xia, An integrated methodology for monitoring spontaneous combustion of coal waste dumps based on surface temperature detection. Applied Thermal Engineering, 2017. 122: p. 27-38.
  • 17. Layek, S., et al., Rainfall & Seismological Dump Slope Stability Analysis on Active Mine Waste Dump Slope with UAV. Advances in Civil Engineering, 2022. 2022.
  • 18. Muchiri, G. and S. Kimathi. A review of applications and potential applications of UAV. in Proceedings of the Sustainable Research and Innovation Conference. 2022.
  • 19. Dutta, G. and P. Goswami, Application of drone in agriculture: A review. International Journal of Chemical Studies, 2020. 8(5): p. 181-187.
  • 20. Li, Y. and C. Liu, Applications of multirotor drone technologies in construction management. International Journal of Construction Management, 2019. 19(5): p. 401-412.
  • 21. Daud, S.M.S.M., et al., Applications of drone in disaster management: A scoping review. Science & Justice, 2022. 62(1): p. 30-42.
  • 22. Cvitanić, D. Drone applications in transportation. in 2020 5th international conference on smart and sustainable technologies (SpliTech). 2020. IEEE.
  • 23. Leo Stalin, J. and R. Gnanaprakasam, Application of unmanned aerial vehicle for mapping and modeling of Indian mines. Journal of the Indian Society of Remote Sensing, 2020. 48: p. 841-852.
  • 24. Lee, S. and Y. Choi, Reviews of unmanned aerial vehicle (drone) technology trends and its applications in the mining industry. Geosystem Engineering, 2016. 19(4): p. 197-204.
  • 25. Villa, T.F., et al., An overview of small unmanned aerial vehicles for air quality measurements: Present applications and future prospectives. Sensors, 2016. 16(7): p. 1072.
  • 26. Ren, H., et al., Vegetation growth status as an early warning indicator for the spontaneous combustion disaster of coal waste dump after reclamation: An unmanned aerial vehicle remote sensing approach. Journal of Environmental Management, 2022. 317: p. 115502.
  • 27. Park, S. and Y. Choi, Applications of unmanned aerial vehicles in mining from exploration to reclamation: A review. Minerals, 2020. 10(8): p. 663.
  • 28. Loots, M., S. Grobbelaar, and E. van der Lingen, A review of remote-sensing unmanned aerial vehicles in the mining industry. Journal of the Southern African Institute of Mining and Metallurgy, 2022. 122(7): p. 387-396.
  • 29. Shahmoradi, J., et al., A comprehensive review of applications of drone technology in the mining industry. Drones, 2020. 4(3): p. 34.
  • 30. Wang, K., et al., 3D Numerical modelling of tailings dam breach run out flow over complex terrain: a multidisciplinary procedure. Water, 2020. 12(9): p. 2538.
  • 31. Wang, C., et al., Current state of fine mineral tailings treatment: A critical review on theory and practice. Minerals Engineering, 2014. 58: p. 113-131.
  • 32. Pajares, G., Overview and current status of remote sensing applications based on unmanned aerial vehicles (UAVs). Photogrammetric Engineering & Remote Sensing, 2015. 81(4): p. 281-329.
  • 33. Rauhala, A., et al., UAV remote sensing surveillance of a mine tailings impoundment in sub-arctic conditions. Remote sensing, 2017. 9(12): p. 1318.
  • 34. Peña-Ortega, M., et al., Environmental assessment and historic erosion calculation of abandoned mine tailings from a semi-arid zone of northwestern Mexico: insights from geochemistry and unmanned aerial vehicles. Environmental Science and Pollution Research, 2019. 26: p. 26203-26215.
  • 35. Wan, Y., et al. Tailings reservoir disaster and environmental monitoring using the UAV-ground hyperspectral joint observation and processing: a case of study in Xinjiang, the belt and road. in IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. 2019. IEEE.
  • 36. Kou, X., et al., Acid Mine Drainage Discrimination Using Very High Resolution Imagery Obtained by Unmanned Aerial Vehicle in a Stone Coal Mining Area. Water, 2023. 15(8): p. 1613.
  • 37. Yurkevich, N., et al., Current State of the Gold Mining Waste from the Ores of the Ursk Deposit (Western Siberia, Russia). Applied Sciences, 2022. 12(20): p. 10610.
  • 38. Mallı, T., M. Kun, and B. Tufan, EVALUATION OF DUMP SITE RECLAMATION TECNIQUES IN WESTERN TURKEY COAL MINES. Environmental Engineering and Management Journal, 2018. 17(1): p. 11-18.
  • 39. Kun, M., Assessment and monitoring of rehabilitation studies on coal mine dump site with UAV’S. Appl. Ecol. Environ. Res, 2019. 17: p. 7381-7393.
  • 40. Strohbach, B., et al., Determining rehabilitation effectiveness at the Otjikoto Gold Mine, Otjozondjupa Region, Namibia, using high-resolution NIR aerial imagery. Namibian Journal of Environment, 2018. 2: p. A-146.
  • 41. Hooper, M.J., et al., Integrated risk and recovery monitoring of ecosystem restorations on contaminated sites. Integrated Environmental Assessment and Management, 2016. 12(2): p. 284-295.
  • 42. Tang, J., et al., Revealing the structure and composition of the restored vegetation cover in semi-arid mine dumps based on LiDAR and hyperspectral images. Remote Sensing, 2022. 14(4): p. 978.
  • 43. Popescu, G., et al., THE USE OF GEOMATICS TECHNOLOGIES FOR RENDERING THE TALINGS DUMP IN TO THE FORESTRY CIRCUIT, URICANI MINE, ROMANIA. International Multidisciplinary Scientific GeoConference: SGEM, 2022. 22(3.2): p. 447-454.
  • 44. Abramowicz, A., O. Rahmonov, and R. Chybiorz, Environmental management and landscape transformation on self-heating coal-waste dumps in the Upper Silesian Coal Basin. Land, 2020. 10(1): p. 23.
  • 45. Zhang, Y., et al., Mapping soil available copper content in the mine tailings pond with combined simulated annealing deep neural network and UAV hyperspectral images. Environmental Pollution, 2023: p. 120962.
  • 46. Shi, X., I. Herle, and D. Muir Wood, A consolidation model for lumpy composite soils in open-pit mining. Géotechnique, 2018. 68(3): p. 189-204.
  • 47. Gong, C., et al., Analysis of the development of an erosion gully in an open-pit coal mine dump during a winter freezethaw cycle by using low-cost UAVs. Remote Sensing, 2019. 11(11): p. 1356.
  • 48. Saratsis, G., et al., Use of UAV Images in 3D Modelling of Waste Material Stock-Piles in an Abandoned Mixed Sulphide Mine in Mathiatis—Cyprus. Mining, 2023. 3(1): p. 79-95.
  • 49. POPESCU, G., et al., 3d Modeling Of Waste Dumps In Order To Ecology Of Mining Areas. AgroLife Scientific Journal, 2020. 9(2): p. 240-249.
  • 50. Meinen, B.U. and D.T. Robinson, Streambank topography: an accuracy assessment of UAV-based and traditional 3D reconstructions. International Journal of Remote Sensing, 2020. 41(1): p. 1-18.
  • 51. Ren, H., et al., An improved ground control point configuration for digital surface model construction in a coal waste dump using an unmanned aerial vehicle system. Remote Sensing, 2020. 12(10): p. 1623.
  • 52. Young, A. and W.P. Rogers, A High-Fidelity Modelling Method for Mine Haul Truck Dumping Process. Mining, 2022. 2(1): p. 86-102.
  • 53. Slack, R. and N. Voulvoulis, Mine Wastes: Characterization, Treatment and Environmental ImpactsBernd G. Lottermoser, Springer-Verlag, Berlin, Heidelberg, New York, 2003, ISBN: 3-540-00526-9 (277 pp., Hardback). 2006, Elsevier.
  • 54. Gül, Y., K.Ö. Hastaoğlu, and F. Poyraz, Using the GNSS method assisted with UAV photogrammetry to monitor and determine deformations of a dump site of three open-pit marble mines in Eliktekke region, Amasya province, Turkey. Environmental Earth Sciences, 2020. 79: p. 1-20.
  • 55. Arrieta, M., UAV photogrammetry for particle size distribution (PSD) and rock fill characterization. 2022.
  • 56. Arrieta, M. Novel Approach for Particle Size Distribution Analysis. Applied Case to Rockfills and Waste Dumps Using Unmanned Aerial Vehicle (UAV). in TMIC 2022 Slope Stability Conference (TMIC 2022). 2023. Atlantis Press.
  • 57. Zhang, S. and W. Liu, Application of aerial image analysis for assessing particle size segregation in dump leaching. Hydrometallurgy, 2017. 171: p. 99-105.
  • 58. Nádudvari, A., et al., Classification of fires in coal waste dumps based on Landsat, Aster thermal bands and thermal camera in Polish and Ukrainian mining regions. International Journal of Coal Science & Technology, 2021. 8: p. 441-456.
  • 59. Różański, Z., et al., Influence of water erosion on fire hazards in a coal waste dump—A case study. Science of the total environment, 2022. 834: p. 155350.
  • 60. Różański, Z., et al., The impact of precipitation on state of the slopes surface and thermal activity of the mine waste dump-preliminary study. Journal of Sustainable Mining, 2021. 20.
  • 61. Ren, H., et al., Monitoring potential spontaneous combustion in a coal waste dump after reclamation through unmanned aerial vehicle RGB imagery based on alfalfa aboveground biomass. Land Degradation & Development, 2022. 33(15): p. 2728-2742.
  • 62. Xiao, W., et al., A drone-and field-based investigation of the land degradation and soil erosion at an opencast coal mine dump after 5 years’ evolution of natural processes. International Journal of Coal Science & Technology, 2022. 9(1): p. 42.
  • 63. Gong, C., et al., Using time series InSAR to assess the deformation activity of open-pit mine dump site in severe cold area. Journal of Soils and Sediments, 2021. 21(11): p. 3717-3732.
  • 64. Liu, P., et al., A review of rotorcraft unmanned aerial vehicle (UAV) developments and applications in civil engineering. Smart Struct. Syst, 2014. 13(6): p. 1065-1094.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu „Społeczna odpowiedzialność nauki” - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-764d0766-b818-4af8-ac45-dde9ca409776
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.