About relationship between germanium concentration and the content of toxic elements and total sulfur in the coal seam c8h of the Dniprovska mine

V. Ishkov, Ye.S. Kozii, O. Chernobuk, M. Kozar, O. Dreshpak
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Abstract

Purpose. To establish and analyze the relationship between the concentrations of germanium and toxic elements and the sulfur content of the general coal seam с8нof the Dniprovska mine. Methodology. The factual basis of the work was the results of 370 analyzes of germanium, beryllium, fluorine, mercury and arsenic and total sulfur in the central certified laboratories of production geological exploration organizations of Ukraine from the material of reservoir samples obtained by production and research enterprises and organizations. Ge content was determined by quantitative emission spectral analysis. The quality of the results of the analyzes (correctness and reproducibility) was evaluated as the significance of the mean systematic error, which was tested using the Student's criterion, and the significance of the mean random error, which was tested using the Fisher criterion. At the initial stage of primary geochemical information processing, the values of the main descriptive statistical indicators were calculated using the STATISTICA 13.3 and IBM SPSS Statistics 22 programs, the frequency histograms of Ge content and reservoir thickness were constructed, and the characteristics of the distribution of these parameters were established. To achieve the goal set in the work, in the research process, correlation and regression analysis was carried out using the methods implemented in the most popular professional statistical software platforms "STATISTICA" and "SPSS" and their analysis was performed in geological terms. Findigs. In the work, the regularities of the relationship between the concentration of germanium and the content of toxic elements and total sulfur in the coal seam с8нof the Dniprovska mine are established. Inherent to the considered impurity elements, the general diverse form of their presence in coal allows us to treat the regularities established with the help of correlation and regression analysis as a kind of trend of dependencies between them, which was realized in the specific geological conditions of the с8нseam of the Dniprovska mine. Scientific novelty. It consists in establishing the non-compliance of the samples of all considered elements with the normal or lognormal distribution law, while in all cases the polymodality of the distribution of indicators is recorded, which is confirmed by analytical calculations of the correspondence of the empirical distributions of the studied parameters of the Gaussian distribution using the Kolmogorov-Smirnov, Shapiro-Wilk, Lilliefors criteria and Pearson's хі-square agreement. Practical significance. It consists in the fact that for a more realistic assessment of the central tendency of the content of Ge and toxic elements and total sulfur, it is necessary to use the median values instead of the values of the arithmetic mean. It was established that there is a very low correlation between the concentrations of germanium and toxic elements and total sulfur, therefore, the extraction of germanium from the coal seam will not be accompanied by their significant accumulation during technological processes.
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Dniprovska矿c8h煤层中锗浓度与有毒元素及总硫含量的关系
目的。建立并分析了Dniprovska煤矿一般煤层с8нof中锗及有毒元素浓度与硫含量的关系。方法。这项工作的事实依据是乌克兰生产地质勘探组织的中央认证实验室从生产和研究企业和组织获得的储层样品的材料中对锗、铍、氟、汞、砷和总硫进行370次分析的结果。用定量发射光谱法测定锗含量。分析结果的质量(正确性和可重复性)以平均系统误差的显著性和平均随机误差的显著性来评价,平均系统误差的显著性采用Student标准进行检验,平均随机误差的显著性采用Fisher标准进行检验。在初级地球化学信息处理的初始阶段,利用STATISTICA 13.3和IBM SPSS Statistics 22程序计算主要描述性统计指标的数值,构建Ge含量和储层厚度的频率直方图,建立这些参数的分布特征。为了达到工作中设定的目标,在研究过程中,运用目前最流行的专业统计软件平台“STATISTICA”和“SPSS”所采用的方法进行相关分析和回归分析,并以地质术语进行分析。Findigs。在工作中,建立了Dniprovska煤矿с8нof煤层中锗浓度与有毒元素和总硫含量之间的规律关系。由于所考虑的杂质元素在煤中的存在形式普遍多样,因此我们可以将通过相关和回归分析建立的规律视为它们之间的一种依赖关系趋势,这在Dniprovska煤矿с8нseam的特定地质条件下得以实现。科学的新奇。它包括建立所有考虑元素的样本不符合正态或对数正态分布规律,而在所有情况下,指标分布的多态分布被记录下来,这是通过使用Kolmogorov-Smirnov, Shapiro-Wilk, Lilliefors标准和Pearson的хі-square协议对高斯分布的研究参数的经验分布的对应性的分析计算来证实的。现实意义。它在于,为了更实际地评价锗和有毒元素含量以及总硫的集中趋势,有必要使用中位数而不是算术平均值。确定了锗及有毒元素的浓度与总硫的相关性很低,因此,在工艺过程中,从煤层中提取锗不会伴有明显的富集。
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