Kursunoglu Nilufer, Gogebakan Maruf
Department of Petroleum and Natural Gas Engineering, Batman University, Turkey.
Department of Maritime Business Administration, Bandirma Onyedi Eylul University, Turkey.
Int J Occup Saf Ergon. 2022 Dec;28(4):2000-2009. doi: 10.1080/10803548.2021.1944535. Epub 2021 Jul 26.
Spontaneous combustion of coal is a complex underground mining disaster, which mainly threats mine safety and efficiency. Several factors usually cause spontaneous combustion of coal, such as gas concentration, ventilation and coal properties. In this study, spontaneous combustion tendencies of coal mines were predicted considering the effective parameters for an underground coal mine in Turkey. Multinomial logistic regression, a multivariate statistical technique, was applied. Gas concentrations (CH, CO, O) and air velocity were defined as factors affecting spontaneous coal combustion. Fire hazard levels of the coal mines were determined as 'normal situation' and 'potential combustion'. It was observed that CH and CO variables and CH × CO interaction were effective in the formation of clusters. The results indicate that Mine I is more liable to spontaneous combustion than Mine II and Mine III. At the same time, the effects of variations in factors are examined in the study.
煤炭自燃是一种复杂的地下开采灾害，主要威胁矿井安全和生产效率。煤炭自燃通常由多种因素引起，如瓦斯浓度、通风和煤质等。本研究结合土耳其某地下煤矿的有效参数，对煤矿的自燃倾向性进行了预测。采用了多元统计技术——多项逻辑回归分析方法。将瓦斯浓度（CH、CO、O）和风速定义为影响煤炭自燃的因素。将煤矿的火灾危险等级确定为“正常情况”和“潜在燃烧”。研究发现，CH和CO变量以及CH×CO相互作用对聚类形成有显著影响。结果表明，一号矿井比二号和三号矿井更容易发生自燃。同时，本研究还考察了各因素变化的影响。
