scholarly journals ECOLOGICAL CONSEQUENCES OF UNDERGROUND MINING THIN COAL SEAMS IN THE WESTERN DONBASS

Author(s):  
Mykhailo Petlovanyi ◽  
◽  
Dmytro Malashkevych ◽  
2018 ◽  
Vol 8 ◽  
pp. 217-226
Author(s):  
Yu.I. Kutepov ◽  
◽  
A.S. Mironov ◽  
Yu.Yu. Kutepov ◽  
M.V. Sablin ◽  
...  

2019 ◽  
Vol 55 (6) ◽  
pp. 938-945
Author(s):  
A. A. Ordin ◽  
A. M. Timoshenko ◽  
D. V. Botvenko

2020 ◽  
Vol 174 ◽  
pp. 01011
Author(s):  
Leszek Sobik ◽  
Jarosław Brodny ◽  
Gennady Buyаlich ◽  
Pavel Strelnikov

Most of currently exploited hard coal seams has a very high degree of methane saturation. Consequently, the mining process of such deposits generates substantial amounts of methane. This in turn increases the risk of fire and/or explosion of this gas. Methane hazard is currently one of the most dangerous threats occurring in the process of underground mining exploitation. In particular, this applies to longwall excavations where the rock mass mining process generates the highest level of this gas. Commonly used high-performance longwall complexes cause an increase in the amount of coal output, which also causes an increase in the amount of methane released. In order to prevent hazardous concentrations, appropriate ventilation systems and atmosphere monitoring in mining excavations are used. The paper discusses currently used methods designed to limit risks caused by methane such as methane drainage. The paper presents an example of the use of an innovative method of analysing methane risk status and measures aimed at minimizing it. The developed method is based on air parameters in the actual mining area which were then used to create a method of ventilation for such excavations. The method combines advanced model analysis and experience of mine employees and integrates academic and practical knowledge. The main objective of the activities presented in the article was to improve the safety of mining operation


2016 ◽  
pp. 11-15 ◽  
Author(s):  
A. A. Sidorenko ◽  
◽  
J. M. Sishchuk ◽  
I. G. Gerasimova ◽  
◽  
...  

2021 ◽  
Vol 330 ◽  
pp. 03005
Author(s):  
Mark Dvoryanchikov ◽  
Larisa Pavlova ◽  
Inna Weiss

The paper describes the stages of primary study and preprocessing of data obtained from air-gas monitoring sensors for their further analysis using machine learning methods.


Engineering ◽  
2012 ◽  
Vol 04 (11) ◽  
pp. 739-745 ◽  
Author(s):  
Nay Zarlin ◽  
Takashi Sasaoka ◽  
Hideki Shimada ◽  
Kikuo Matsui

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