scholarly journals Fluctuations in methane and carbon dioxide concentrations in the near-surface zone and their genetic characterization in abandoned and active coal mines in the SW part of the Upper Silesian Coal Basin, Poland

2020 ◽  
Vol 227 ◽  
pp. 103529 ◽  
Author(s):  
H. Sechman ◽  
M.J. Kotarba ◽  
S. Kędzior ◽  
A. Kochman ◽  
A. Twaróg
Keyword(s):  
Carbon Dioxide ◽  
Genetic Characterization ◽  
Coal Mines ◽  
Surface Zone ◽  
Coal Basin ◽  
Near Surface ◽  
Upper Silesian Coal Basin ◽  
Carbon Dioxide Concentrations ◽  
Active Coal

scholarly journals Analysis of the similarity of hard coal mines in terms of the number of dangerous incidents caused by the activation of natural hazards

2019 ◽  
Vol 2 (1) ◽  
pp. 91-100
Author(s):  
Magdalena Tutak
Keyword(s):  
Rock Burst ◽  
Natural Hazards ◽  
Coal Dust ◽  
Coal Mines ◽  
Hard Coal ◽  
Dust Explosion ◽  
Coal Basin ◽  
Taxonomic Analysis ◽  
Upper Silesian Coal Basin ◽  
Roof Rocks

Abstract Hard coal mines and mining enterprises involved in hard coal exploitation in the area of the Upper Silesian Coal Basin (Górnośląskie Zagłębie Węglowe) are characterised by the presence of natural hazards typical of this type of exploitation. These hazards include the risks related to methane, coal dust explosion, endogenous fires, as well as rock burst and caving of roof rocks. The article presents the results of a taxonomic analysis aimed at determining the similarity of hard coal mines and mining enterprises in Poland in terms of the dangerous incidents caused by the risks related to methane, coal dust explosion, endogenous fires, as well as rock burst and caving of roof rocks. The analysis was carried out for the 2008-2018 data and encompassed a total of 26 hard coal mines and mining enterprises located in the Upper Silesian Coal Basin. The analysis was performed using the k-means method of non-hierarchical clustering. The main objective of the article was to determine homogenous groups (clusters) of mines exhibiting the greatest similarity in terms of dangerous incidents caused by the activation of natural hazards in the years 2008-2018. These data can be successfully used for the development of preventive measures and risk analyses for these enterprises.

Sign in / Sign up

Export Citation Format

Share Document