hi boy
"Ugol" magazin

ABROAD


Original Paper

UDC 622.271(73):550.814 © I.V Zenkov, Trinh Le Hung, M.V. Safronov, G.А. Karacheva,V.N. Vokin, E.V. Kiryushina, T.A. Veretenova , Yu.A. Maglinets, K.V. Raevich, A.A. Latyntsev,A.S. Lunev, 2022

ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № 12, pp. 94-97

DOI: http://dx.doi.org/10.18796/0041-5790-2022-12-94-97

Title

COAL-FIRED POWER GENERATION FACILITIES IN A MINING DISTRICT IN THE SOUTHWESTERN PART OF WESTERN AUSTRALIA BASED ON SATELLITE IMAGING DATA

Authors

Zenkov I.V.1,2,3, Trinh Le Hung4, Safronov M.V.2, Karacheva G.А.2, Vokin V.N.1, Kiryushina E.V.1, Veretenova T.A.1, Maglinets Yu.A.1, Raevich K.V.1, Latyntsev A.A.1,Lunev A.S.1

1Siberian Federal University, Krasnoyarsk, 660041, Russian Federation

2 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, 660037, Russian Federation

3Non-profit partnership «Ecological Center for Rational Development of Natural Resources», Krasnoyarsk, 660049, Russian Federation

4Le Quy Don Technical University (LQDTU), Hanoi, 11355, Vietnam

Authors Information

Zenkov I.V., Doctor of Engineering Sciences, Professor, Scientific consultant, e-mail: zenkoviv@mail.ru

Trinh Le Hung, PhD (Engineering), Associate Professor

Safronov M.V., PhD (Economic), Associate Professor

Karacheva G.A., Senior lecturer

Vokin V.N., PhD (Engineering), Professor

Kiryushina E.V., PhD (Engineering), Associate Professor

Veretenova T.A., Associate Professor

Maglinets Yu.A., PhD (Engineering), Professor

Raevich K.V., PhD (Engineering), Associate Professor

Latyntsev A.A., PhD (Engineering), Associate Professor

Lunev A.S., PhD (Engineering), Associate Professor

Abstract

The article presents results of studying the current condition of the coal-fired facilities of the fuel and energy sector in the southwestern part of Western Australia. Remote sensing studies and analytical calculations revealed the number of mining and haulage machines working in the coal pits, as well as determined the total annual volume of overburden and coal extraction. Directions of coal transportation to industrial enterprises that consume this type of fossil fuel are investigated.

Keywords

Western Australia, Coal deposits, Coal pits, Coal-fired thermal power plants, Coal-fired power generation, Mining and transport vehicles, Earth remote sensing.

References

1. 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). Gornyj zhurnal, 2020, (2), pp. 84-87. (In Russ.)

2. Kramarov S.O., Mityasova O.Yu. & Khramov V.V. Satellite-based identification of land surface objects using non-orthogonal description of the initial data. Gornyj informacionno-analiticheskij byulleten, 2021, (4), pp. 154-166. (In Russ.).

3. Lupyan E.A., Konstantinova A.M., Balashov I.V. et al. Designing an environmental analysis system in the areas of large-scale industrial facilities, tailings and waste dumps. Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2020, (7), pp. 243-261. (In Russ.).

4. Yermakov D.M., Demenev A.D., Mescheriakova O.Yu. & Berezina O.A. Specific features in the development of a regional water index to monitor the impact of acid mine water effluents on the fluvial systems. Sovremennye problemy distancionnogo zondirovaniya Zemli iz kosmosa, 2021, (6), pp. 222-237. (In Russ.).

5. 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.

6. Wang W., Liu R., Gan F. et al. Monitoring and Evaluating Restoration Vegetation Status in Mine Region Using Remote Sensing Data: Case Study in Inner Mongolia, China. Remote Sens, 2021, (13), 1350.

7. Qin Y., Zhang X., Zhao Z. et al. Coupling Relationship Analysis of Gold Content Using Gaofen-5 (GF-5) Satellite Hyperspectral Remote Sensing Data: A Potential Method in Chahuazhai Gold Mining Area, Qiubei County, SW China. Remote Sens,2022, (14), 109.

8. Madhuanand L., Sadavarte P., Visschedijk A.J.H. et al. Deep convolutional neural networks for surface coal mines determination from sentinel-2 images. European Journal of Remote Sensing, 2021, Vol. 54, (1), pp. 296-309.

9. Google Earth. [Electronic resource]. Available at: https://www.google.com.earth/ (accessed 15.11.2022).

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, Safronov M.V., Karacheva G.А., Vokin V.N., Kiryushina E.V., Veretenova T.A., Maglinets Yu.A., Raevich K.V., Latyntsev A.A. & Lunev A.S.Coal-fired power generation facilities in a mining district in the southwestern part of Western Australia based on satellite imaging data. Ugol’, 2022, (12), pp. 94-97. (In Russ.). DOI: 10.18796/0041-5790-2022-12-94-97

Paper info

Received October 18, 2022

Reviewed October 31, 2022

Accepted November 25, 2022

SPECIAL ISSUE




Hot from the press
Partners