Abstract

A study was conducted on the evaluation of the factors of influence of coal mining on the environment by means of correlation-regression analysis. The study analyzed the relationships between indicators of mine development rates (volume of coal production) and the degree of impact of coal production on environmental pollution. For this purpose, the correlation coefficients calculated by the method of correlation-regression analysis of multidimensional data were used for the first time in the "mining volume - pollution indicator" system, and a ranking of the impact intensity indicators was created using the example of the Buzhanska mine. Excel software, its built-in tools and the "analysis" add-on were used for calculations.As a result of the conducted research, a multiple correlation matrix was calculated, a ranking of pollution indicators was developed by the value of correlation coefficients, models were verified, and mathematical formulas for calculating interrelated indicators were developed. The models obtained in our calculations have an average error of approximation from 16 to 22% (at a significance level of 0.5, reliability of 0.99).The obtained calculations indicate that the most influential indicator of pollution (has a significant correlation with the volume of production) concerns the atmosphere - "Emissions of coal dust" (R=0.9897). Emissions of hazardous waste into the atmosphere also have a large correlation coefficient (R=0.9681). Greenhouse gas emissions are less dependent on mining (R=0.8685), because coal seams are emission-free. The most important impact on the land is "extraction of rock" (R=0.9314). As for the influence of the coal industry on the water basin, from the obtained data, we have that the indicators of pollution and water consumption have an insufficient relationship with the indicators of production: "Volume of mine water discharged into surface water bodies" (R= 0.7751) and "Discharged into surface water bodies of ZR" (R=0.7833). The increase in extraction practically does not correlate with the amount of fresh water intake (R=0.5753). The same situation exists with the volume of household waste (R=0.5524). Ways of greening the impact are proposed.

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