Article
Article name Application of Spectral Water Indices on the Tailings of the Darasunsky Mine According to the Remote Sensing Data of the Landsat Program
Authors Kochev D.. ,
Shumilova L.. ,
Bibliographic description Kochev D. V., Shumilova L. V. Application of spectral water indices on the tailings of the Darasunsky mine according to the remote sensing data of the Landsat program // Transbaikal State University Journal. 2023. Vol. 29, no. 2. P. 45–60. DOI: 10.2109/2227-9245-2023-29-2-45-60. 60 Вестник
Category Earth and Environmental Sciences
DOI 502/ 504; 528.88
DOI 10.2109/2227-9245-2023-29-2-45-60
Article type Original article
Annotation At present, the problem of ensuring the environmental safety of tailings dumps and dams holding them is acute in the mining cluster not only in Russia, but also in the world. Stale tailings located in a hydraulic structure are man-made deposits and are considered as an object of development in the future. Therefore, the formation of a database of the areas of the water mirror of the basins of the cascade of tailings for a long period of operation is an urgent scientific problem. It is important to analyze and predict potential threats to the city-forming mining enterprise and nearby territories. This problem can be solved by using geoinformation systems and multispectral data. The object of the research is a complex of tailings dumps’ cascades of the Darasunsky mine. The goal is to provide spatio-temporal assessment of the areas of the water mirror of the basins of the tailings dumps’ cascade of the Darasunsky mine for the period from 1997 to 2022 in order to predict environmental safety. The research objectives are the following: assessment of the environmental situation at the Darasunsky mine; selection of the optimal method for decoding the water surface; collection and formation of an archive of remote sensing data; calculation of spectral indices and retrospective analysis of changes in the water surface area of the tailings of the Darasunsky mine; forecast of emergency situations of lithospheric, hydrospheric, airborne, biological pollution. A spatio-temporal assessment of the areas of the water mirror of the basins of the tailing dumps’ cascade has been made to assess the use intensity of these structures with the construction of graphs of changes in the areas of the water surface over a 25-year period. Thanks to the division of the tailings storage into cascades, it has become possible to locally determine the filling of 4 tailings sections with tailings pulp. The data obtained allow monitoring for the rational use, conservation, stopping the operation of hydraulic structures (in particular tailings dumps), their impact on the environment. The use of spectral water indices according to the remote sensing data of the Landsat program will allow predicting and preventing emergency situations at the tailings dump, which has been in operation for many decades, to prevent the overflow of water over the crest and body of the enclosing dams.
Key words technogenic deposit, cascade of tailings, gold, arsenic, remote sensing of the Earth, Landsat program, water indexes, area of water mirrors of cascades, relief model SRTM
Article information
References 1. Berezin I. A., Mikhakhanov M. M., Munkuyev A. N. Ecological and hygienic assessment of the mining territory of the village. Vershino-Darasunsky. Medicine of tomorrow. Materials of the XIX interregional scientific and practical conference of students and young scientists. Chita, May 19–22, 2020. Chita: Chita State Medical Academy, 2020. (In Rus.). 2. Yurkevich N. V., Bortnikova S. B., Saeva O. P., Korneeva T. V. Hydrochemical anomalies in the area of storage of sulfide gold mining waste (Vershino-Darasunsky settlement, Transbaikal State University). Geological evolution of the water interaction with rocks: Collected materials of the Fourth All-Russian Scientific Conference with international participation. Ulan-Ude, August 17–20, 2020. Geological Institute SB RAS. Ulan-Ude: Buryat Scientific Center of the Siberian Branch of the Russian Academy of Sciences, 2020. (In Rus.). 3. Kurganovich K. A., Shalikovsky A. V., Bosov M. A., Kochev D. V. Application of artificial intelligence algorithms for flood-prone territories control. Water management of Russia: problems, technologies, management, no. 3, pp. 6–24, 2021. (In Rus.). 4. Kurganovich K. A., Kochev D. V., Bosov M. A. The use of a hybrid method of joint analysis of Landsat satellite sensing data and unmanned aerial vehicles for the reconstruction of water levels and volumes of water mass in reservoirs (on the example of Lake. Peanuts of the Transbaikal Territory). InterCarto. InterGIS, vol. 28, no. 1, pp. 368–382, 2022. (In Rus.). 5. Kurganovich K. A., Noskova E. V. The use of water indices to assess changes in the water mirror areas of steppe soda lakes in the south-east of Transbaikalia, according to remote sensing data. Transbaikal State University Journal, no. 6, pp. 16–24, 2015. (In Rus.). 6. Kurganovich K. A. Comparison of algorithms for decoding water surfaces by NDWI and MNDWI indices on the example of steppe lakes of Eastern Transbaikalia. Water resources and water use. Collected works, Chita, July 1, 2015. Chita: Transbaikal State University, 2015. (In Rus.). 7. Lotosh V. E. Ecology of nature management. Yekaterinburg: Ural State University of Railways, 2007. (In Rus.). 8. Stepanova V. B. Results of the geoecological survey of the Vershino-Darasunsky mine. Problems of geology and subsoil development. Proceedings of the XVII International Symposium named after Academician V. A. Obruchev and the 130th anniversary of Academician M. A. Usov, founders Siberian Mining and Geological School. Tomsk, April 01–06, 2013. National Research Tomsk Polytechnic University. Tomsk: National Research Tomsk Polytechnic University, 2013. (In Rus.). 9. Shesternev D. V. Physical and chemical weathering of rock massifs in the cryolithozone. Mining information and analytical bulletin, no. 3, pp. 350–360, 2017. (In Rus.). 10. Shumilova L. V., Khatkova A. N., Razmakhnin K. K., Cherkasov V. G. Strategies of rational and integrated use of mineral raw materials based on the best available technologies and assessment of the life cycle of mining waste. Bulletin of the Transbaikal State University, vol. 27, no. 4, pp. 32–44, 2021. (In Rus.). 11. Shumilova L. V., Khatkova A. N., Cherkasov V. G. Integral industrial system of utilization of technogenic waste of mining enterprises, territorially united. Bulletin of the Transbaikal State University, vol. 27, no. 6, pp. 40–49, 2021. (In Rus.). 12. Weather and climate. Monthly and annual amounts of precipitation in Usugli. Web. 14.04.2023. http:// www.pogodaiklimat.ru/history/30764_2.htm. (In Rus.). 13. McFeeters S. K. The use of Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, no. 17, pp. 1425–1432, 1996. (In Eng.). 14. Velasquez-Yevenes L., Torres D., Toro N. Leaching of chalcopyrite ore agglomerated with high chloride concentration and high curing periods. Hydrometallurgy, no. 181, pp. 215–220, 2018. (In Eng.). 15. Xu H. Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing, no. 27, pp. 3025–3033, 2006. (In Eng.).
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