ECOLOGY
Original Paper
UDC 622.85:504 © T.V. Korchagina, V.P. Potapov, E.L.Schastlivtsev,2022
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol’ – Russian Coal Journal, 2022, № 6, pp. 59-67
DOI: http://dx.doi.org/10.18796/0041-5790-2022-6-59-67
Title
Digital monitoring of the natural and man-made environment to ensure the environmental safety of mining enterprises
Authors
Korchagina T.V.1,Potapov V.P.2,Schastlivtsev E.L.2
1Siberian Mining Institute LLC, OAO KhK "SDS-UGOL'”, Kemerovo, 653000, Russian Federation
2Kemerovo Branch, Federal Research Center for Information and Computational Technologies, Kemerovo, 630090, Russian Federation
Authors Information
Korchagina T.V., PhD (Engineering), Director, e-mail: t.korchfgina@sds-ugol.ru
Potapov V.P., Doctor of Engineering Sciences, Chief Researcher, e-mail: vadimptpv@gmail.com
Schastlivtsev E.L., Doctor of Engineering Sciences, Head of the Laboratory for Modeling Geoecological Systems, e-mail: schastlivtsev@ict.sbras.ru
Abstract
The digital shift in geo-environmental monitoring systems leads to a significant increase in the volume of multimodal data from a variety of sources. Their integration is only possible through the creation of dedicated digital platforms that enable the creation of an information space to provide global standards for spatial data processing. Integration of remote and ground-based monitoring methods based on digital mathematical models provides effective processing of large volumes of data, significantly increasing the efficiency of decision-making, as well as a comprehensive assessment of the impact of coal mining enterprise on the condition of natural and man-made environment.
Keywords
Digital monitoring, Natural and man-made environment, Environmental safety, Hardware and software suite.
References
1. Ustinov V.V., Potapov V.P., Schastlivtsev E.L., Tsarev D.S., Kharlampenkov I.E. & Krisanova A.M. Data computing system of environmental safety of “Sibenergougol“ LLC: approaches, methods and models. Ugol’, 2018, (3), pp. 84–90. (In Russ.). DOI: 10.18796/0041-5790-2018-3-84-90.
2. On Approval of Rules for designing and operation of automatic system to monitor pollutant emissions and/or pollutant discharges. Decree No. 262 of the Government of the Russian Federation as of March 13, 2019. Collection of Laws of the Russian Federation, 2019, (11), Art. 1146. (In Russ.).
3. Potapov V.P., Schastivtsev E.L., Kharlampenkov I.E. & Bykov A.A. Digital factories for integrated solution of environmental safety tasks of mining operations / Abstracts of the IV International Scientific and Practical Conference "Mining in the XXI Century: Technology, Science, Education”, St. Peterburg, October, 26–28,
4. Potapov V.P., Schastivtsev E.L., Kupriyanov A.N., Androkhanov V.A. et al. Monitoring, assessment and forecasting of environmental conditions based on advanced information technologies. Kemerovo, Asia Publ., 2013, 112 p. (In Russ.).
5. Potapov V.P., Shokin Yu.I. & Yurchenko A.V. Digital twins as a technology to create a new generation of environmental monitoring systems of mining complexes / Distributed Information and Computing Resources. Digital Twins and Big Data (DICR-2019). Proceedings of the XVII International Conference, Novosibirsk, December 3-6, 2019, Novosibirsk, Institute of Computational Technologies, Siberian Branch of the Russian Academy of Sciences, 2019, pp. 9-16. Available at: http://elib<st1< a="">:personname >.ict.nsc.ru/jspui/bitstream/ICT/4694/6/DICR-2019-V3_p09-16.pdf (accessed 15.05.2022). (In Russ.).
6. On approval of the procedure for owners of water bodies and water users to keep records of intake (withdrawal) volumes of water resources from water bodies and the volume of wastewater and/or drainage water discharge, and their quality. Decree No. 205 of the Government of the Russian Federation as of July 8, 2009. Available at: https://docs.cntd.ru/document/573140193 (accessed 15.05.2022). (In Russ.).
7. GIS-Lab: NDVI – theory and practice. GIS Laboratory. 2016, Available at: https://gis-lab.info/qa/ndvi.html (accessed 15.05.2022). (In Russ.).
8. Index Gallery - ArcGIS Pro Documentation. 2021, Available at: https://pro.arcgis.com/ru/pro-app/2.7/help/data/imagery/indices-gallery.htm (accessed 15.05.2022). (In Russ.).
9. Cab (Leaf Chlorophyll Content) | Sentinel-Hub custom scripts. 2021, Available at: https://custom-scripts.sentinel-hub.com/custom-scripts/sentinel-2/cab/ (accessed 15.05.2022).
10. Zhang F. & Zhou G. Estimation of vegetation water content using hyperspectral vegetation indices: a comparison of crop water indicators in response to water stress treatments for summer maize. BMC Ecology, 2019, Available at: https://bmcecol.biomedcentral.com/articles/10.1186/s12898-019-0233-0 (accessed 15.05.2022).
For citation
Korchagina T.V.,Potapov V.P. & Schastlivtsev E.L.Digital monitoring of the natural and man-made environment to ensure the environmental safety of mining enterprises. Ugol’, 2022, (6), pp. 59-67. (In Russ.). DOI: 10.18796/0041-5790-2022-6-59-67.
Paper info
Received March 3, 2022
Reviewed April 2, 2022
Accepted May 23, 2022