Abstract

Problem Statement and purpose. For today, to solve environmental problems in the coal mining regions, studies of toxic elements (including beryllium) are obligatory and allow to determine the environmental impact of coal enterprises and coal heating enterprises. The purpose of this work is to establish regularities in the distribution of beryllium in the coal seam k5 of the mine field "Kapitalna".Data & Methods. Using Excel 2016 and Statistica 11.0 at the initial stage of the processing of primary geochemical information, the values of the main descriptive statistics were calculated, building of frequency histograms of the content and the determination of the beryllium distribution law were realized. During evaluating the relationship of beryllium with the organic or mineral part of the coal, the coefficients of affinity with the organic substance were used, which shows the ratio of the content of the elements in the coal with low and high density. Surfer 11 was used in the con­struction of all the maps. During the construction of the maps, graphs and calculation of correlation coefficients, all values of beryllium concentrations and technological parameters of coal were normalized.Results. The results of studies of the spatial distribution of beryllium in the coal bed k5 have been analyzed and areal variations of its concentrations have been established. The influence of variability of beryllium concentrations on the main technological parameters of coal was evaluated. It has been found that with the increase of mineral impurities in the coal seams the concentration of beryllium decreases, therefore, the concentrator of this element is the organic component of coal. The constructed maps are the factual basis for the long-term forecast of the concentrations of beryllium in the rock mass that extract by the mine. The calculated linear regression equations be­tween the beryllium content and the main technological parameters of coal will allow to predict its concentration in the coal seam. These equations can be used for short-term and medium-term forecasting of beryllium content in the extracted rock mass. In its turn, such forecasts should serve as the basis for technological solutions aimed at reducing its content in products and waste of coal enrichment.

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