Over the past 10 years, the mining industry of Russia has seen a greater than three-fold decrease in injury rates, thanks to the successful implementation of innovative labor safety technologies. Despite this, injury levels remain unacceptably high compared to the leading mining countries, which results in increased mining costs. For the mining areas of the Arctic Zone—unlike other regions located in areas with a more favorable climate—the injury rates are influenced not only by the underground labor conditions, but also by the adverse environmental factors. For the Russian Arctic zone, the overall injury risk is proposed to be calculated as the combined impact of occupational and background risk. In this article, we have performed correlation analysis of the overall injury risks in regions of the Arctic zone and regions with favorable climate conditions. Using the Kirov branch of “Apatit”, Joint-stock company (JSC) as an example, we have calculated the risks related specifically to occupational injury rates. We have constructed the relative injury risks and their changes over time and have developed a “basic injury rate matrix” that makes it possible to visualize the results of the comparative analysis of the injury rates on the company’s production sites and to determine priority avenues for improving the occupational safety and lowering the injury rates.
analYSiS of The riSK STruCTure of injurieS anD oCCuPaTional DiSeaSeS in The MininG inDuSTrY of The far norTh of The ruSSian feDeraTion Purpose. To determine the value of the components and the impact of environmental factors on the risk structure of workplace injuries and occupational illnesses in the mining industry of the Far North of the Russian Federation, conditioned by the com bined influence of workplace factors and unfriendly climatic conditions. Methodology. The methodology for solving this issue is based on a comparative analysis of the dynamics of the risks of occu pational injuries and illnesses over a decade, both for Russia at large, for Murmansk region and the Komi Republic in particular, and for their mining industries, with further calculation of the "background" risk depending on the environmental and climatic specifics of the northern territories. findings. The paper contains a correlation analysis of workplace injuries and occupational illnesses in the Russian Federation, Murmansk region and the Komi Republic. The background rate of their risk is calculated. It was established that background risks for the territories of the Far North of the Russian Federation are adequately described by linear correlation. The specific weight of the background risk at the overall risk of injuries and illnesses for mining industries of Murmansk region and the Republic of Komi is established. originality. A method for calculating the value of the "background" risk and identifying its dynamics over a decade is devel oped. Practical value. The objectivity of assessing the risks of occupational illnesses and workplace injuries in the mining sectors of the Far North of the Russian Federation by factoring in the value of the "background" risk is increased.
It has been noted that the areas disturbed by open-pit mining together with the production processes in the extraction of mineral resources (drilling, blasting, transportation, etc.) have a negative influence on the environment in general and the atmosphere in particular. It has been indicated that, in percentage terms, dusting of refuse dumps and tailing dumps plays a prevailing role in the total amount of dust generated. It has been stated that the processes of formation and subsequent transfer of dust in the atmosphere depend on the combination of meteorological and mining factors that have a probabilistic nature in time and space. It has been shown that the maximum value of environmental risk characterises the level of dust influence, at which reduction environmental protection measures should be directed. The present paper proposes a procedure for evaluation of the dusty influence of mining enterprises on the environment. Under the conditions of Olenegorsk GOK, a GIS has been compiled – a project of the study area and, based on geo-information modelling, the results of calculating dust concentrations in the air have been imposed on a digital map of the area.
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