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PERSPECTIVE OF USING SATELLITE OBSERVING DATA TO MONITOR THE GRASS SOD STATE WHILE CONSERVING STOCKPILED ORE PROCESSING WASTES
Abstract
The significant impact of the mining industry on the environment is associated with the storage of ore processing wastes characterized by a low potential for self-overgrowing due to wind and water erosion, lack of structure and low moisture capacity of fine-dispersed waste substances. In order to conserve the stored ore processing waste and reduce their negative environmental impact, the Mining Institute has developed a technology that ensures the formation of sustainable grass sod without applying a topsoil layer in accordance with the principle of self-organization of natural systems. While monitoring the conservation of stored ore processing waste, according to satellite observations, the spatial distribution and temporal dynamics of the vegetation index and the moisture stress index of the created grass sod have been investigated and the use of their ratio has been proposed for assessing the grass sod state. The time for the sod grow to a steady state has been set. The proposed approach of the satellite observations use is recommended to support decision-making on the conservation of stored waste and the restoration of disturbed land during mineral deposits development.
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References15
Mining, Society, and a Sustainable World. Ed. Richards J.P. Springer.2009. p.94.
Reference Document on Best Available Techniques for Management of Tailings and West-Rock in Mining Activities. EU. Vienna. 2004. 517p.
Mesyats S., Ostapenko S. Satellite data based assessment of environment impact of mining industry // International Multidisciplinary Scientific GeoConference SGEM. 2017. Т. 17. № 41. P. 551-558.
Mesyats S.P. Conservation of ore processing waste dumps in order to protect the natural environment and preserve mineral raw materials // Waste Management: Proceedings of International Congress “Weistek-2007”, Moscow, May 29 - June 1. 2007 - Moscow, 2007. - Pp. 464-465.
Davies M., Lupo J., Martin T., McRoberts Ed et all. Dewatered tailings practice – trends and observations. Proceedings of the 14th International Conference on Tailings and Mine Waste, Vail, Colorado, USA, 17–20 October 2010. p133-142.
Paste Tailings Management. Eds. Yilmaz E., Fall M. Springer, 2017, 302p.
Gromov E., Mesyats S., Ostapenko S. The Substantiation Of The Methodology Of Stockpiling And Conservation Of Rare-Earth - Rare Metal Processing Waste Under The Environmental Restrictions // 18th International Multidisciplinary Scientific GeoConference SGEM. 2018. V. 18. Issue 1.3. P. 1029-1036.
Land Remote Sensing and Global Environmental Change. B. Ramachandran et al. (eds.). Remote Sensing and Digital Image Processing. 2011. vol.11. pp.509-532.
Mesyats S.P., Ostapenko S.P. Methodical approach to monitoring the restoration of disturbed lands of the mining industry according to satellite observations. Mining industry, 2018, No. 6, pp.72-75.
Major D.J., Baret F., Guyot G. A ratio vegetation index adjusted for soil brightness. Journal International Journal of Remote Sensing.1990.V.11.№ 5.pp.727-740.
Hunt E.R., Rock B.N., Nobel P. S. Measurement of leaf relative water content by infrared reflectance. Remote Sensing of Environment. 1987. V.22.pp.429–435.
QGIS Development Team. QGIS Geographic Information System, Software Version 2.18.13. Open Source Geospatial Foundation Project. http://qgis.osgeo.org
R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. – 2008. - ISBN 3-900051-07-0. - http://www.R-project.org
Hunt E.R.,Rock B.N. Detection of changes in leaf water content using Near- and Middle-Infrared reflectances. Journal Remote Sensing of Environment. 1989.V.30. № 1. pp.43-54.
Meingast K.M., Falkowski M.J., Kane E.S. et al. Spectral detection of near-surface moisture content and water-table position in northern peatland ecosystems. Remote Sensing of Environment. 2014. V.152. pp. 536–546.
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