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ArticleName Gas pollution of in-pit space in open mining: Problems and solutions
DOI 10.17580/gzh.2019.06.09
ArticleAuthor Petrov A. A., Zorin A. V., Melik-Gaikazov I. V.

Mining Institute, Kola Science Center, Russian Academy of Sciences, Apatity, Russia:

A. A. Petrov, Researcher,


Petrozavodsk State University, Petrozavodsk, Russia:
A. V. Zorin, Associate Professor, Candidate of Geographical Sciences


PJSC Acron, Moscow, Russia:
I. V. Melik-Gaikazov, Director for Mining, Candidate of Engineering Sciences


One of the main problems in open mining is to ensure the environmental and industrial safety, since large-scale blasting and operation of vehicles and other diesel equipment lead to gas pollution of in-pit space above the maximum allowable concentrations. The urgency of solving the problem increases with deepening of open pits due to the deterioration of natural air exchange, especially during calm and temperature inversions. One of the possible and economically feasible solutions to the problem of gas contamination in the open pit working areas is planning of mining operations based on prediction of the in-pit atmosphere state. As part of this solution, an automated integrated atmosphere monitoring system is developed for deep open pit mines. This system includes monitoring of weather conditions leading to accumulation of pollutants in open pit mine air and monitoring of gas composition of in-pit air characterizing pollution levels. On the basis of the actual data obtained from the monitoring system and the synoptic information from public channels, the forecast of weather conditions such that lead to the accumulation of pollutants in working areas of open pit is made. The authors disccuss feasibility of intensifying natural air exchange in in deep open pit mines with a view to reducing gas pollution of the in-pit space by creating a vegetation cover on the protective berms using the technology of the Mining Institute, Kola Science Center of the RAS.

keywords In-pit space air, aerogasdynamics, monitoring, weather conditions, air gas composition, temperature inversion, prediction, underlying surface, vegetation cover

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