Pyka Ireneusz, Kempa Wojciech, Wierzchowski Krzysztof
Central Mining Institute, 40-166 Katowice, Poland.
Department of Mathematics Applications and Methods for Artificial Intelligence, Faculty of Applied Mathematics, Silesian University of Technology, 44-100 Gliwice, Poland.
Entropy (Basel). 2021 Jul 15;23(7):900. doi: 10.3390/e23070900.
In the process of extracting hard coal, extensive databases are created on its quality parameters. A statistical assessment was made of the ash, sulfur, and mercury content of commercial coals produced in the Upper Silesian Coal Basin (USCB). The statistical methods applied: non-parametric tests of compatibility for two populations, parametric significance tests, and non-parametric tests of compatibility for the three populations, showed that the distributions of ash and sulfur content in 2014 and 2015 are comparable and the average values are similar. Statistical tests indicated significant differences in the mercury content distributions and their variances. This demonstrates the need for ongoing monitoring of mercury content in commercial coals, as a prediction of mercury content from historical data is hardly possible.
在硬煤开采过程中，会创建关于其质量参数的广泛数据库。对上西里西亚煤田（USCB）生产的商业煤的灰分、硫和汞含量进行了统计评估。所应用的统计方法：两个总体的非参数相容性检验、参数显著性检验以及三个总体的非参数相容性检验，结果表明2014年和2015年灰分和硫含量的分布具有可比性且平均值相似。统计检验表明汞含量分布及其方差存在显著差异。这表明有必要持续监测商业煤中的汞含量，因为很难根据历史数据预测汞含量。
