ABROAD
Original Paper
UDC 622.271(73):550.814 © I.V. Zenkov, Trinh Le Hung, E.V. Loginova, V.N.,Vokin, E.V. Kiryushina, S.N. Skornyakova, Yu.A. Maglinets, K.V.Raevich, A.A. Latyntsev, P.L. Pavlova, A.S.Lunev, 2023
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2023, № 2, pp. 77-80
DOI: http://dx.doi.org/10.18796/0041-5790-2023-2-77-80
Title
RESEARCH INTO THE STATE OF THE COAL MINING SECTOR IN THE FUEL AND ENERGY COMPLEX OF TURKEY USING REMOTE SENSING DATA
Authors
Zenkov I.V.1,2,3, Trinh Le Hung4, Loginova E.V.3, Vokin V.N.1,Kiryushina E.V.1, Skornyakova S.N.1, Maglinets Yu.A.1, Raevich K.V.1, Latyntsev A.A.1, Pavlova P.L.1,Lunev A.S.1
1Siberian Federal University, Krasnoyarsk, 660041, Russian Federation
2Non-profit partnership «Ecological Center for Rational Development of Natural Resources», Krasnoyarsk, 660049, Russian Federation
3Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation
4Le Quy Don Technical University (LQDTU), Hanoi, 11355, Vietnam
Authors Information
Zenkov I.V., Doctor of Engineering Sciences, Scientific consultant, Professor, e-mail: zenkoviv@mail.ru
Trinh Le Hung, PhD (Engineering), Associate Professor
Loginova E.V., PhD (Economic), Associate Professor
Vokin V.N., PhD (Engineering), Professor
Kiryushina E.V., PhD (Engineering), Associate Professor
Skornyakova S.N., Senior lecturer
Maglinets Yu.A., PhD (Engineering), Professor
Raevich K.V., PhD (Engineering), Associate Professor
Latyntsev A.A., PhD (Engineering), Associate Professor
Pavlova P.L., PhD (Engineering),Associate Professor
Lunev A.S., PhD (Engineering), Associate Professor
Abstract
The paper presents the results of studying the operation of coal mines and thermal plants in Turkey. Remote sensing studies and analytical calculations revealed the number of mining and haulage machines working in the coal pits, as well as determined the annual volume of overburden and coal excavation. The results of satellite observations helped to reveal a consistent trend in the quantitative indicators of coal-fired electric power generation.
Keywords
Turkey's fuel and energy complex, Coal deposits, Surface mining, Coal pits, Annual coal production, Mining and haulage vehicles, Thermal power plants, Remote sensing of the Earth.
References
1. Terekhin E.A. Spatial analysis of specific features in formation of the forest cover over deposits in the forest-steppe zones in the Central Black Earth Belt using their spectral signatures. Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2020, Vol. 17, (5), pp. 142-156. (In Russ.).
2. Lozhkin D.M., Tskhai Zh.R., Shevchenko G.V. Specific features of temperature conditions and distribution of chlorophyll concentrations in the Okhotsk Sea during pollack breeding season based on satellite data. Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, (2), pp. 230-240. (In Russ.).
3. Terekhin E.A. Assessment of spatial and temporal changes in green phytomass of agricultural vegetation using spectral reflex signatures. Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2021, Vol. 18, (1), pp. 138-148. (In Russ.).
4. Halipu A., Wang X., Iwasaki E., Yang W. & Kondoh A. Quantifying Water Consumption through the Satellite Estimation of Land Use/Land Cover and Groundwater Storage Changes in a Hyper-Arid Region of Egypt. Remote Sens., 2022, 14, 2608.
5. Wang Y., Bi H. & Liang Y. A Satellite-Observed Substantial Decrease in Multiyear Ice Area Export through the Fram Strait over the Last Decade. Remote Sens, 2022, 14, 2562.
6. Sammartino M., Aronica S., Santoleri R. & Buongiorno Nardelli B. Retrieving Mediterranean Sea Surface Salinity Distribution and Interannual Trends from Multi-Sensor Satellite and In Situ Data. Remote Sens., 2022, 14, 2502.
7. Kaplan G., Aydinli H.O., Pietrelli A., Mieyeville F. & Ferrara V. Oil-Contaminated Soil Modeling and Remediation Monitoring in Arid Areas Using Remote Sensing. Remote Sens., 2022, 14, 2500.
8. Li X., Wang N. & Wu Y. Automated Glacier Snow Line Altitude Calculation Method Using Landsat Series Images in the Google Earth Engine Platform. Remote Sens., 2022, 14, 2377.
9. Google Earth. [Electronic resource]. Available at: https://www.google.com.earth/ (accessed 15.01.2023).
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, Loginova E.V., Vokin V.N.,Kiryushina E.V., Skornyakova S.N., Maglinets Yu.A., Raevich K.V., Latyntsev A.A., Pavlova P.L.,Lunev A.S. Research into the state of the coal mining sector in the fuel and energy complex of Turkey using remote sensing data. Ugol’, 2023, (2), pp. 77-80. (In Russ.). DOI: 10.18796/0041-5790-2023-2-77-80.
Paper info
Received December 3, 2022
Reviewed December 30, 2022
Accepted January 26, 2023