Coal mine degasification efficiency enhancement to improve working conditions of miners

Malashkina, V.A.

doi:10.25018/0236-1493-2018-7-0-69-75

Cited by 3 publications

(2 citation statements)

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“…In this context, it is essential to scrutinize the effect of mining on land use land cover change to minimize its impact on environment as well as for proper land management and decision making [6,7,8]. To ascertain such changes, earth resource satellite data are critically important and useful for land use/land cover change studies [9]. Today Remote snesing technology has enabled ecologists and natural resources managers to acquire timely data and observe periodical changes [10].…”

Section: Introductionmentioning

confidence: 99%

Land use land cover change detection in the mining areas of V.D. Yalevsky coal mine-Russia

Al-Shateri

2020

Gorn. inf.-anal. bull.

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The dynamics of land use/land cover (LULC) changes, the effect of coal mining on the LULC changes, and the regional environmental impact are discussed in this study. The different land use classes mainly Forest, Water Bodies, Road, Mining Area, Agriculture and Grass in the study area of V.D. Yalevsky coal field area in Kemerovo region of Russia are identified. On the other hand the impact of V.D. Yalevsky coal mine activities on LULC change on the environment and teritory are discussed. The LULC changes in the V.D. Yalevsky coal field area were analyzed for a period of 27 years e.g., from the year 1992 to 2019. The changes were detected on a 13-years time interval using Landsat-4 TM, Landsat-8 OLI. Furthermore supervised classification techniques using maximum likelihood method through ENVI (Environment for Visualizing Images) 5.1software was utilized. In addition post classification change detection method through ENVI was used to investigate the changes. The study reveals decrement in LULC categories of forest to 25.35km², water bodies to -0.94km², agriculture to -98.48km², road to -10.80km². However increment in the rate of mining area to 100.72km² and grass cover 34.86 km² during the study period. Meanwhile 90.18 % overall accuracy and (0.87) kappa coefficient for 1992 classified image, 93.41 % overall accuracy and (0.91)Kappa coefficient for 2006 classified image and 88.69 % overall accuracy and (0.85) kappa coefficient for 2019 classified image were obtained.

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Section: Introductionmentioning

confidence: 99%

Land use land cover change detection in the mining areas of V.D. Yalevsky coal mine-Russia

Al-Shateri

2020

Gorn. inf.-anal. bull.

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“…4. Для повышения уровня аэрологической безопасности также необходимо рассматривать комплекс работ по вентиляции и дегазации, что подробно описано в работах [5,6].…”

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Design features of coal mines ventilation using a room-and-pillar development system

Kobylkin¹,

Kharisov

2020

PMI

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The safety of mining operations in coal mines for aerological factors depends on the quality of accepted and implemented ventilation design solutions. The current “Design Manual of coal mine ventilation” do not take into account the features of room-and-pillar development systems used in Russia. This increases the risk of explosions, fires, and gassing. The detailed study of foreign experience in designing ventilation for the considered development systems e of coal deposits allowed to formulate recommendations on the ventilation scheme organization for coal mines using a room-and-pillar development system and the procedure for ventilation during multi-entry gateroad development. Observations have shown that the use of the existing Russian procedure for airing mining sites with a room-and-pillar development system complicates the emergency rescue operations conduct. Low speeds and multidirectional air movement, difficult heat outflow, and the abandonment of coal pillars increase the risk of occurrence and late detection of endogenous fire. The results of numerical modeling have shown that the installation (parallel to the drifts) of ventilation structures in inter-chamber pillars will increase the reliability of ventilation by transferring the ventilation scheme from a complex diagonal to a complex parallel. It will also reduce the amount of air required for the mine site and the total aerodynamic drag. The research made it possible to formulate requirements for the design procedure for coal mines ventilation using a room-and-pillar development system, which consist in the order of working out blocks in the panel, and also the additional use of ventilation structures (light brattice clothes or blowing line brattice).

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Land use land cover change detection in the mining areas of V. D. Yalevsky coal mine-Russia

Azeez

Mukhitdinov

2020

E3S Web Conf.

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The dynamics of land use/land cover (LULC) changes, the effect of coal mining on the LULC changes, and the regional environmental impact are discussed in this study. The different land use classes mainly Forest, Water Bodies, Road, Mining Area, Agriculture and Grass in the study area of V. D. Yalevsky coal field area in Prokorvisk city in Kamerovo region of Russia are identified. On the other hand the impact of V. D. Yalevsky coal mine activities on LULC change on the environment and teritory are discussed. The LULC changes in the V. D. Yalevsky coal field area were analyzed for a period of 27 years e.g., from the year 1992 to 2019. The changes were detected on a 13-years time interval using Landsat-4 TM, Landsat-8 OLI. Furthermore supervised classification techniques using maximum likelihood method through ENVI (Environment for Visualizing Images) 5.1software was utilized. In addition post classification change detection method through ENVI was used to investigate the changes. The study reveals decrecment in LULC cotogories of forest to 25.35km², water bodies to -0.94km², agriculture to -98.48km², road to -10.80km². However increment in the rate of mining area to 100.72km² and grass cover 34.86 km² during the study period. Meanwhile 90.18% overall accuracy and (0.87) kappa coefitient for 1992 classified image, 93.41% overall accuracy and (0.91) Kappa koefitient for 2006 classified image and 88.69% overall accuracy and (0.85) kappa coefitient for 2019 classified image were obtained.

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Coal mine degasification efficiency enhancement to improve working conditions of miners

Cited by 3 publications

References 0 publications

Land use land cover change detection in the mining areas of V.D. Yalevsky coal mine-Russia

Land use land cover change detection in the mining areas of V.D. Yalevsky coal mine-Russia

Design features of coal mines ventilation using a room-and-pillar development system

Land use land cover change detection in the mining areas of V. D. Yalevsky coal mine-Russia

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