Occupational fatalities among coal mine workers in Zonguldak, Turkey, 1994-2003
ABSTRACT Fatal underground coal mine injuries are a worldwide problem. Zonguldak holds 95% of all Turkey's coal reserves.
To investigate fatalities in the underground coal-mining industry in the Zonguldak province.
Retrospective study of fatal underground coal-mining accidents from 1994 to 2003 through evaluation of industry records.
There were 164 deaths available for analysis. The median age was 36 years (range: 14-56 years). Eighty-one fatalities (49%) were due to subsidence, 33 (20%) were due to underground railway accidents and 18 (11%) were due to gas poisoning. Asphyxia was the most common cause of death (99, 60%). The majority of fatalities (144, 87%) occurred instantaneously at the scene of the incident. The remainder (20, 13%) occurred on the way to the hospital or in the emergency room or the intensive care unit.
The underground coal-mining industry in Turkey requires strategies to improve safety and reduce the number of fatalities occurring. These strategies should focus on improved underground safety through engineering measures.
- SourceAvailable from: Mary Opokua Ansong
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- "Nonetheless , there are still significant mining risks such as flooding , fall of ground, underground fires, handling and use of cyanide, storage of and exposure to radiation materials, and other airborne pollution that need to be addressed. These have been responsible for a continuing series of environmental and health disasters, which cause great human tragedies and loss of life and undermine social or economic stability and sustainability    . Mining remains one of the most hazardous environmental occupations worldwide with underground coal and gold mines characterized by high accident rates even in relatively efficient mining operations [6– 8]. "
ABSTRACT: The performance of a proposed compact radial basis function was compared with the sigmoid basis function and the gaussian-radial basis function neural networks in 3D wireless sensor routing topology control, in underground mine rescue operation. Optimised errors among other parameters were examined in addition to scalability and time efficiency. To make the routing path efficient in emergency situations, the sensor sequence and deployment as well as transmission range were carefully considered. In times of danger and unsafe situations, data-mule robot with Through The Earth (TTE) radio would be used to carry water, food, equipments, and so forth to miners underground and return with information. Using Matlab, the optimised vectors with high survival rate and fault tolerant, based on rock type, were generated as inputs for the neural networks. Particle swarm optimisation with adaptive mutation was used to train the neurons. Computer simulation results showed that the neural network learning algorithm minimized the error between the neural network output and the desired output such that final error values were either the same as the error goal or less than the error goal. Thus, the proposed algorithm shows high reliability and superior performance.International Journal of Distributed Sensor Networks 09/2013; 2013. DOI:10.1155/2013/376931
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ABSTRACT: The metal mining industry employs approximately 15% of formally employed workers in Zambia, but there is little information about the magnitude of occupational injuries among the miners. To determine the frequency rates of occupational injuries and fatalities among copper miners in Zambia. A retrospective study of occupational injuries and fatalities at one of the largest copper mining companies in Zambia was undertaken for the period January 2005 to May 2007. Information on injuries and fatalities was obtained from the electronic accident survey database of the company. Analysis was restricted to fatalities and those injuries that had prompted medical attention and at least 1 day of absence from work. Annual injury and fatality frequency rates (injuries per 1000 employee years and fatalities per 100 000 employee years, respectively) were calculated. In the selected period, 165 injuries and 20 fatalities were recorded. The underground department had the highest frequency rates of fatalities (111/100 000 employee years) and injuries (5.5/1000 employee years). The most common cause of fatal injuries was fall of rock in the underground mines. The most frequent mechanism of injury was handling of tools and materials, and the most commonly injured body parts were the hands and fingers. The fatality rate is high compared to reported values from the metalliferous mining industry in developed countries, strongly suggesting that measures should be taken to reduce risks, particularly at underground sites.Occupational Medicine 04/2009; 59(3):191-4. DOI:10.1093/occmed/kqp009
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ABSTRACT: On 21 November 2006 in the Halemba coal mine, Ruda Śląska, a mass industrial accident occurred. The underground catastrophe was probably due to combustion of methane followed by explosion of pulverised coal and resulted in death of twenty-three miners. The occurrence has been acknowledged to be one of the most serious accidents in Polish mining industry. Post-mortem examinations of the deceased were carried out in Department of Forensic Medicine, Medical University of Silesia, and in some cases additional dissecting techniques were employed. Photographs were taken as well as numerous specimens for various laboratory tests were collected. Toxicological analyses of blood samples revealed high levels of carboxyhaemoglobin saturation in seventeen cases, and detected presence of methane in the lungs of seven individuals, whereas microscopic specimens mainly showed lesions characteristic of putrefaction. The post-mortem procedures eventually allowed to establish the cause of death of all victims. The authors attempt to determine a range of requisite medico-legal proceedings and examinations that should be carried out in case of a mass industrial accident, and emphasise the need for development of appropriate guidelines.Forensic Science International Supplement Series 12/2009; DOI:10.1016/j.fsisup.2009.08.004