Hazard identification for equipment-related fatal incidents in the U.S. underground coal mining

2009 ◽  
Vol 15 (1) ◽  
pp. 1-6 ◽  
Author(s):  
Vladislav Kecojevic ◽  
Zainalabidin Md Nor
Keyword(s):  
Coal Mining ◽  
Hazard Identification ◽  
Underground Coal Mining ◽  
The U.S

Occupational injuries in underground coal mining in Serbia: A case study

Work ◽  
2021 ◽  
pp. 1-11
Author(s):  
Ivana Ilić Krstić ◽  
Danijela Avramović ◽  
Snežana Živković
Keyword(s):  
Coal Mining ◽  
Occupational Safety ◽  
Preventive Measures ◽  
Occupational Injuries ◽  
Underground Coal Mining ◽  
Health Records ◽  
Employee Safety ◽  
Injury Data ◽  
Safety And Health

BACKGROUND: Mining, especially underground coal mining, has always been a hazardous occupation. Injuries, including those that are fatal, are a major occupational risk that all miners have to face. OBJECTIVE: Despite the fact that all workers are aware of the risks, efforts must be made to increase their safety through the implementation of preventive measures. METHODS: This retrospective study includes injury data from all nine Serbian coal mines over a 16-year period, from 2000 to 2016. All injury data were collected from employee safety and health records. RESULTS: In the analyzed period, a total of 9,273 occupational injuries were recorded at Resavica. The highest number of occupational injuries (over 600) were recorded in 2008 (669), 2004 (651), and 2005 (603). The data shows that almost one fifth of the total number of occupational injuries, or 20.74%, occurred during the said three years. On average, 493.06 minor, 51.12 severe, and 1.29 fatal injuries occurred each year. Every day there were 1.29 minor occupational injuries and every seven days there was one severe injury. CONCLUSIONS: Despite indications that there is a connection between some of the variables and the number of injuries, the general conclusion is that injuries are accidental and unpredictable. The high percentages of injuries are due to the organization of work and the age or qualification structure of the staff and, of course, are the consequence of likelihood –the greater the number of workers, the greater the likelihood of injury. However, the present study showed that some measures can be taken to increase occupational safety and reduce the number of injuries.

scholarly journals Methane Content Estimation in DuongHuy Coal Mine

2018 ◽  
Vol 35 ◽  
pp. 01005 ◽  
Author(s):  
Van Thinh Nguyen ◽  
Waldemar Mijał ◽  
Vu Chi Dang ◽  
Thi Tuyet Mai Nguyen
Keyword(s):  
Experimental Data ◽  
Coal Mining ◽  
Coal Mine ◽  
Coal Mines ◽  
Methane Content ◽  
Underground Coal Mining ◽  
Coal Seams ◽  
Underground Coal Mine ◽  
Different Depths ◽  
Quang Ninh

Methane hazard has always been considered for underground coal mining as it can lead to methane explosion. In Quang Ninh province, several coal mines such as Mạo Khe coal mine, Khe Cham coal mine, especially Duong Huy mine that have high methane content. Experimental data to examine contents of methane bearing coal seams at different depths are not similar in Duong coal mine. In order to ensure safety, this report has been undertaken to determine a pattern of changing methane contents of coal seams at different exploitation depths in Duong Huy underground coal mine.

3D Visual Technology of Geo-Deformation Disasters Induced by Mining Subsidence Based on ArcGIS Engine

2012 ◽  
Vol 500 ◽  
pp. 428-436 ◽  
Author(s):  
Ke Ming Yang ◽  
Jun Ting Ma ◽  
Bo Pang ◽  
Yi Bin Wang ◽  
Ran Wang ◽  
...  
Keyword(s):  
Coal Mining ◽  
Surface Deformation ◽  
Ground Deformation ◽  
Ground Surface ◽  
Horizontal Displacement ◽  
Mining Subsidence ◽  
Underground Coal Mining ◽  
Vertical Movements ◽  
Probability Integral Method ◽  
Arcgis Engine

Mining subsidence often produces significant horizontal and vertical movements at the ground surface, the surface deformation induced by underground coal mining can be predicted by probability integral method, and the surface geo-deformation disasters can be visualized based on GIS components. A three dimensional (3D) visualizing system of surface geo-deformation information is designed and developed with ArcGIS Engine and C# in the study. According to the surface deformation-predicted data induced by underground coal mining in Guobei Coalmine of Huaibei mine field, the extents and degrees of ground deformation disasters are visualized in 3D views for surface vertical subsidence, slope, curvature, horizontal displacement and horizontal strain based on the GIS-developed application platform.

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