Analysis of Dynamics Mining of Beyskoye Coal Deposit
in Koybalskaya Steppe (Republic of Hakassia)
with Application of Remote Methods
The paper presents the results of an analysis of the dynamics of the development of the Beiskoye coal field. From this point of view, the territory is interesting in that it is an ancient riverbed and which represents the most common conditions that are most convenient for the development of the coal mining industry. A detailed review of the dynamics of the development of mining in the coal industry is required. Coal mining is a fairly new industry for the Koybalskaya steppe. The coal industry is the most dynamic industry in Khakassia. With increasing production, a number of acute problems arise. Some of them, such as transport infrastructure, require government intervention. However, there is also a big environmental problem; in the Beyskoye field there are tracts of Sorokaozerka and Trekhozerka (with a large number of small lakes), inhabited by many species (including the Red Book) animals. It is necessary to make decisions that allow preserving the unique objects of nature of the Koybalskaya steppe. The use of remote sensing methods allows us to estimate the scale of the development of coal mining, their speed and to some extent allow us to estimate the depth of the restructuring of the landscape image of the territory.
Balyazin Ivan Valerievich, Candidate of Science (Geography), Researcher, Physical Geography and Biogeography Laboratory, V. B. Sochava Institute of Geography SB RAS, 1, Ulan-Batorskaya st., Irkutsk, 664033, Russian Federation, e-mail: firstname.lastname@example.org
Balyazin I.V. Analysis of Dynamics Mining of Beyskoye Coal Deposit in Koybalskaya Steppe (Republic of Hakassia) with Application of Remote Methods. The Bulletin of Irkutsk State University. Series Earth Sciences, 2020, vol. 31, pp. 3-15. https://doi.org/10.26516/2073-3402.2020.31.3 (in Russian)
Analiz i perspektivy razvitiya dobychi uglya na period do 2035 g. v respublike Khakasiya [Analysis and prospects for the development of coal production for the period up to 2035 in the Republic of Khakassia]. Available at: https://mining-media.ru/ru/article/anonsy/10059-analiz-i-perspektivy-razvitiya-dobychi-uglya-na-period-do-2035-g-v-respublike-khakasiya (date of access: 20.05.2019). (in Russian)
Geld T.A., Zlotnikova T.V. Sovremennoye sostoyaniye avifauny vodno-bolotnykh ekosistem urochishcha Sorokaozerki (Minusinskaya kotlovina, Koybal'skaya step') [The current state of avifauna of wetland ecosystems of the natural boundary of the Sorokaozerka (Minusinskaya depression, Koybalskaya steppe)]. Available at: http://science-education.ru/ru/article/view?id=22658 (date of access: 28.05.2019).
Geologicheskaya karta Sibiri i yeye poleznyye iskopayemyye [Geological map of Siberia and its minerals. Maps]. Ed. by V.S. Reutovskiy. Saint Petersburg, Gorn. dep. Publ., 1905, 5p. (in Russian)
Kuminova A.V. Rastitelnyy pokrov Khakasii [Vegetation of Khakassia]. Novosibirsk, Nauka Publ., 1976, 127 p. (in Russian)
Ob obrazovanii osobo okhranyayemoy prirodnoy territorii regionalnogo znacheniya – gosudarstvennyy prirodnyy biologicheskiy zakaznik “Urochishche Trekhozerki” [On the formation of a specially protected natural area of regional significance – the State Natural Biological Reserve “The Terrain of the Triozerka”]. Available at: http://docs.cntd.ru/document/430624829 (in Russian)
Pallas P.S. Puteshestviye poraznym provintsiyam Rossiyskogo gosudarstva [Travel to different provinces of the Russian state]. Saint Petersburg, Imperatorskaya Akademiya nauk Publ., 1788, 655 p. (in Russian)
Posledstviya antropogennogo vozdeystviya na geologicheskuyu sredu [Consequences of anthropogenic impact on the geological environment]. Available at: https://studopedia.su/15_123474_posledstviya-antropogennogo-vozdeystviya-na-geologicheskuyu-sredu.html (in Russian)
Senkus V.V., Mayer V.F. Ekologicheskiye problem gornodobyvayushchikh predpriyatiy v Kuzbasse [Environmental problems of mining enterprises in Kuzbass] Available at: http://www.ineca.ru/?dr=bulletin/arhiv/0073&pg=004. (in Russian)
Sokolov D.A. Ispol'zovaniye skaniruyushchey elektronnoy mikroskopii dlya diagnostiki protsessov pochvoobrazovaniya napoverkhnosti otvalov kamennougol'nykh razrezov Sibiri [The use of scanning electron microscopy for diagnosing soil formation processes on the surface of dumps of coal mines in Siberia]. Vestnik Tomskogo gos. universiteta. Biologiya [Tomsk State Bulletin. university. Biology], 2014, no. 3, pp. 36-52. (in Russian)
Uglyu stroyat dorogu [Coal build the road]. Gudok [Horn], 2018, no. 70 Available at: https://www.gudok.ru/newspaper/?ID=1417645. (in Russian)
Ugolnaya baza Rossii. Vol. 3. Ugolnyye basseyny i mestorozhdeniya Vostochnoy Sibiri. Ed. by V.F. Cherepovskiy. Moscow, Geoinformtsentr, Publ., 2002, 488 р. (in Russian)
Jensen J.R. Remote sensing of the environment: an Earth resource perspective. Prentice Hall, 2000, 544 p.
Jiang Zuoqin. Evaluation of geoscientific data coverage and application of GIS for mineral resource assessment and management in North-East Asia. Application of geographic information systems (GIS) for integrated assessment and management of mineral resources in North-East Asia. New-York, United Nation Publication, 2001, pp. 63-97.
Jones C. Geographical Information Systems and Computer Cartography. Harlow, Essex, United Kingdom, Longman, 1997, 319 p.
Mather P. M. Computer Processing of Remotely-Sensed Images. An Introduction. John Wiley press, 2004, 350 p.
Planning an Ecological Risk Assessment. Retrieved from EPA Risk Assessment. Available at: https://www.epa.gov/risk/guidelines-ecological-risk-assessment (date of access: 23.05.2019).
Popovich V., Galiano F. Algorithmic component of an Earth remote-sensing data-analysis system. Information fusion and intelligent Geographic Information Systems (GIS), Springer. 2018, pp. 127-137.
Richards J.A. Remote Sensing Digital Image Analysis. An Introduction. Springer, 2013, 503 p.
Rhind D. Counting the people: the role of GIS. Geographical information systems – principles and applications. D.J. Maguire, M.F. Goodchild and D.W. Rhind (eds.). London, Longman, 1991. vol. 1, pp. 127-137.
Schowengerdt R.A. Remote Sensing. Models and Methods for Image Processing. Academic Press, 2007, 558 p.
USGS science for a changing world. GloVis / U. S. Geological Survey. Available at: https://glovis.usgs.gov/app?fullscreen (date of access 22.03.2019).