ASSESSMENT OF ENVIRONMENTAL IMPACT FACTORS OF COAL MINING BY MEANS OF CORRELATION-REGRESSION ANALYSIS

Mining Geology & Geoecology Pub Date : 2023-02-15 DOI:10.59911/mgg.2786-7994.2022.1(4).273789

N. Diachenko, O. Vlasenko, A. Kovalchuk

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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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用相关回归分析方法评价煤矿开采环境影响因素

采用相关回归分析方法对煤矿开采对环境的影响因素进行了评价研究。研究分析了煤矿开发速度指标(煤炭生产量)与煤炭生产对环境污染影响程度之间的关系。为此，首次将多维数据相关回归分析方法计算的相关系数应用于“采掘量-污染指标”体系中，并以布赞斯卡矿为例，建立了影响强度指标排序。Excel软件、它的内置工具和“分析”插件被用于计算。研究结果表明，计算了多重相关矩阵，根据相关系数的值对污染指标进行了排序，并对模型进行了验证，建立了计算相关指标的数学公式。在我们的计算中获得的模型的平均近似误差从16%到22%(在显著性水平为0.5，可靠性为0.99)。得到的计算结果表明，最具影响力的污染指标(与产量有显著相关性)与大气有关——“煤尘排放”(R=0.9897)。危险废物排放到大气中的相关系数也很大(R=0.9681)。温室气体排放对开采的依赖程度较低(R=0.8685)，因为煤层是无排放的。对土地影响最大的是“岩石的提取”(R=0.9314)。对于煤炭行业对流域的影响，从得到的数据可以看出，污染指标和用水量指标与生产指标的关系并不充分:“矿井排入地表水的量”(R= 0.7751)和“排入ZR地表水的量”(R=0.7833)。提取量的增加实际上与淡水摄取量无关(R=0.5753)。生活垃圾量也存在同样的情况(R=0.5524)。提出了绿化影响的方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Mining Geology & Geoecology

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