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Prediction of spontaneous coal combustion tendency using multinomial logistic regression
- Publication Year :
- 2021
- Publisher :
- Taylor & Francis, 2021.
-
Abstract
- 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 (CH4, CO, O2) 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 CH4 and CO variables and CH4 × 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.
- Subjects :
- Underground mining (hard rock)
Coal combustion products
Combustion
complex mixtures
Fires
03 medical and health sciences
0302 clinical medicine
Mining engineering
otorhinolaryngologic diseases
Humans
0501 psychology and cognitive sciences
Coal
Safety, Risk, Reliability and Quality
Spontaneous combustion
050107 human factors
Multinomial logistic regression
business.industry
05 social sciences
technology, industry, and agriculture
Public Health, Environmental and Occupational Health
Coal mining
respiratory system
Coal Mining
030210 environmental & occupational health
respiratory tract diseases
Spontaneous Combustion
Logistic Models
Environmental science
business
Safety Research
Mine safety
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....10e2fdbc2580b5c6e356c5a20a5ff667
- Full Text :
- https://doi.org/10.6084/m9.figshare.15059027