ABROAD
Original Paper
UDC 622.271(73):550.814 © I.V. Zenkov, Trinh Le Hung, Yu.P. Yuronen, V.N.,Vokin, E.V. Kiryushina, E.V. Cherepanov, E.I. Gerasimova, K.A. Shtresler, 2023
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 9, pp. 105-108
DOI: http://dx.doi.org/10.18796/0041-5790-2023-9-105-108
Title
Investigating into dynamics of coal mining and electricity generation capacities in the State of Victoria
using Earth's remote sensing data
Authors
Zenkov I.V.1,2, Trinh Le Hung3, Yuronen Yu.P.1 Vokin V.N.4,Kiryushina E.V.4, Cherepanov E.V.4, Gerasimova E.I.4, Shtresler K.A.4, 2023
1Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation
2Siberian Research Institute of Mining and Surveying, Krasnoyarsk, 660064, Russian Federation
3Le Quy Don Technical University (LQDTU), Hanoi, 11355, Vietnam
4Siberian Federal University, Krasnoyarsk, 660041, Russian Federation
Authors Information
Zenkov I.V., Doctor of Engineering Sciences, Professor, Deputy Director for Scientific Work, e-mail: zenkoviv@mail.ru
Trinh Le Hung, PhD (Engineering), Associate Professor
Yuronen Yu.P., PhD (Economic), Associate Professor
Vokin V.N., PhD (Engineering), Professor
Kiryushina E.V., PhD (Engineering), Associate Professor
Cherepanov E.V., PhD (Engineering), Associate Professor
Gerasimova E.I., Senior lecturer
Shtresler K.A., Senior lecturer
Abstract
The article provides the results of assessing the main technological indicators of mining transport equipment in coal mining pits in the State of Victoria (Australia). A decrease in production capacities for coal mining and electricity generation at thermal power plants has been revealed based on the satellite imagery data. A conclusion is made that the economies of production scale help to keep electricity tariffs for coal-fired power generation in the state at very low levels.
Keywords
Earth remote sensing, Australia, State of Victoria, Coal pit mines, Thermal power plants, Coal mining capacity, Economies of scale, Generation of electricity at thermal power plants.
References
1. Terekhin E.A. Influence of forest cover of the fallow lands in the forest-steppe on the spectral-reflectance characteristics based on Sentinel-2 data. (In Russ.).
2. Raevsky B.V., Tarasenko V.V. & Petrov N.V. Assessment of current state of plant communities in the Kostamuksha Natural Park based on Landsat satellite images. (In Russ.).
3. Ozaryan Yu.A., Bubnova M.B. & Usikov V.I. Methodology of remote monitoring of natural and technological systems (in conditions of mining areas in the south of the Russian Far East). (In Russ.).
4. Zenkov I.V., Le Hung T., Vokin V.N. et al. Space-based Applications of Remote Sensing in Studying Opencast Mining and Ecology at Deposits of Non-ferrous Metal Ore. Ecology and Industry of Russia, 2022, Vol. 26, (1), pp 24-29.
5. Zenkov I.V., Morin A.S., Vokin V.N. & Kiryushina E.V. Remote sensing of mining and haul-age equipment arrangement in Russia: A case-study of the coal and iron ore industry. Eurasian mining, 2020, (2), pp. 46–49.
6. Cie?lik K. & Milczarek W. Application of Machine Learning in Forecasting the Impact of Mining Deformation: A Case Study of Underground Copper Mines in Poland. Remote Sensing, 2022;14(19):4755. https://doi.org/10.3390/rs14194755.
7. Jiao R., Wang S., Yang H., Guo X., Han J., Pei X. & Yan C. Comprehensive Remote Sensing Technology for Monitoring Landslide Hazards and Disaster Chain in the Xishan Mining Area of Beijing. Remote Sensing, 2022; 14(19):4695. https://doi.org/10.3390/rs14194695.
8. Yang W., Mu Y., Zhang W., Wang W., Liu J., Peng J., Liu X. & He T. Assessment of Ecological Cumulative Effect due to Mining Disturbance Using Google Earth Engine. Remote Sensing, 2022;14(17):4381. https://doi.org/10.3390/rs14174381.
9. Tian H., Liu S., Zhu W., Zhang J., Zheng Y., Shi J. & Bi R. Deciphering the Drivers of Net Primary Productivity of Vegetation in Mining Areas. Remote Sensing, 2022; 14(17):4177. https://doi.org/10.3390/rs14174177.
10. Google Earth. [Electronic resource]. Available at: https://www.google.com.earth/ (accessed 15.08.2023).
Acknowledgements
The study was performed within the framework of international cooperation in expanding the use of remote sensing technologies.
For citation
Zenkov I.V., Trinh Le Hung, Yuronen Yu.P., Vokin V.N.,Kiryushina E.V., Cherepanov E.V., Gerasimova E.I. & Shtresler K.A. Investigating into dynamics of coal mining and electricity generation capacities in the State of Victoria using Earth's remote sensing data. Ugol’, 2023, (9), pp. 105-108. (In Russ.). DOI: 10.18796/0041-5790-2023-9-105-108.
Paper info
Received June 3, 2023
Reviewed August 14, 2023
Accepted August 25, 2023
