Analysis of the factors influencing the level of professional health and the biological age of miners during underground mining of coal seams
S. Cheberiachko1, Yu. Cheberiachko1, V. Sotskov1,O. Tytov1
1National Technical University Dnipro Polytechnic, Dnipro, Ukraine
Min. miner. depos. 2018, 12(3):87-96
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Purpose. Setting of the work environment of workers at mining enterprises during thin coal seams extraction influence on the character and the rate of their aging by determination of the biological age and estimation of the occupational diseases development risk value.
Methods. The hygienic estimation of the work environment and the occupational diseases development risk value have been determined according to known standard techniques. The approach developed at the Institute of Herontology of National Academy of Medical Sciences of Ukraine has been used for determination of the miners biological age. The aggregate dust load in the air of mining developments has been determined by “АЕRА” respirator. The follo-wing equipment has been used for estimation of the human functional state: “Nissei DS-1902” and “Omron M10-IT” tonometers, “Maniquick MQ-160” infrared contactless thermometer, “VМ-150” medical balance. Sampling in the miners breathing zone has been made by “АFА-20” analytical filters. The research results processing has been fulfilled by the method of statistical analysis.
Findings. The exceeding of the maximum permissible rates of adverse factors for miners, such as dust, noise and vibration has been set. The work environment is featured by the constant uncomfortable position of miners bodies and the sufficient loading level. It is determined, that the maximum risk of occupational diseases development is connected with the dust and the static loading factors. The work in such conditions leads to rising of the miners aging rate. Thus, the aging rate is equal to 7 years while having 28.3 years of average age for less than 10 years of service length, and correspondingly 9 years for more than 10 years of service length. The exceeding of the biological age on the calendar age is 15 years in average after the shift.
Originality. The character of interrelation between the complex of harmful factors, the occupational diseases deve-lopment risk and the workers aging rates has been set in the conditions of thin coal seams extraction.
Practical implications. It is necessary to change the working and recreation modes of miners and to guarantee the work for not more than 4 hours with obligatory breaks for rest, in order to enhance the life time of the miners occupied at coal-face works on the thin coal seams extraction.
Keywords: harmful industrial factors, thin coal seams, biological age, miner, hygienic requirements
Bhattacherjee, A. (2014). Associations of some individual and occupational factors with accidents of dumper operators in coal mines in India. Journal of Ergonomics, (S5), 1-4.
Bhelkar, S.M., Ughade, S.N., Thakre, S., & Jogdand, G. (2015). A comparative study of morbid conditions amongst opencast and underground coal miners. Journal of Evolution of Medical and Dental Sciences, 04(07), 1132-1137.
Bondarenko, V., Kovalevs’ka, I., & Fomychov, V. (2012). Features of carrying out experiment using finite-element methodat multivariate calculation of mine massif – combined support system. Geomechanical Processes During Underground Mining, 7-13.
Bondarenko, V., Tabachenko, M., & Wachowicz, J. (2010). Possibility of production complex of sufficient gasses in Ukraine. New Techniques and Technologies in Mining, 113-119.
Browne, R.C. (1973). Safety and health at work: The Robens Report. Occupational and Environmental Medicine, 30(1), 87-91.
Buessing, M., & Weil, D. (2014). Impact of contracting on occupational injuries and fatalities in underground coal mining. Boston, United States: Boston University.
Chigisova, A.N., Ogarkov, M.Y., & Maksimov, S.A. (2017). Risk of arterial hypertension in workers employed at coal-mining enterprises: Social and hygienic assessment. Health Risk Analysis, (3), 76-82.
Fomichov, V., Sotskov, V., & Malykhin, A. (2014). Determination and analysis of the acceptable benchmark changes of the stress strain state of frame and bolt fastening elements of dismantling drift when approaching a working face. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (1), 22-26.
Fomichov, V., Pochepov, V., Sotskov, V., & Mamaikin, O. (2018). Formation of a calculation model determining optimal rate of stoping face movement with a large deformation of a rock massif. ARPN Journal of Engineering and Applied Sciences, 13(7), 2381-2389.
Fomychov, V., & Sotskov, V. (2018). Determination of parameters of non-uniform fractured rock massif in computing experiment. Journal of Geology, Geography and Geoeco-logy, 26(1), 26-32.
Gubernot, D.M., Anderson, G.B., & Hunting, K.L. (2015). Characterizing occupational heat-related mortality in the United States, 2000 – 2010: An analysis using the census of fatal occupational injuries database. American Journal of Industrial Medicine, 58(2), 203-211.
Halldin, C.N., Wolfe, A.L., & Laney, A.S. (2015). Comparative respiratory morbidity of former and current US coal miners. American Journal of Public Health, 105(12), 2576-2577.
Ishtiaq, M., Jehan, N., Rehman, Z.U., Sardar, M., Israr, M., & Khan, G.S. (2014). Factors associated with occupational injuries in coal miners. Journal of Medical Sciences, 22(1), 21-24.
Liu, L., Xu, X., Wu, H., Yang, Y., & Wang, L. (2015). Associations of psychological capital, demographic and occupational factors with cigarette smoking among Chinese underground coal miners. BMC Public Health, 15(1), 20-30.
Lozynskyi, V., Saik, P., Petlovanyi, M., Sai, K., & Malanchuk, Y. (2018). Analytical Research of the Stress-Deformed State in the Rock Massif around Faulting. International Journal of Engineering Research in Africa, (35), 77-88.
Mahdevari, S., Shahriar, K., & Esfahanipour, A. (2014). Human health and safety risks management in underground coal mines using fuzzy TOPSIS. Science of The Total Environment, (488-489), 85-99.
Mukhin, V.V., Peredrij, G.S., Kharkovenko, N.M. (2003). Level, structure and dynamics of combined occupational diseases among coal miners of Donetsk region. Meditsina Truda I Promyshlennaya Ekologiya, (9), 11-13.
Nandi, S., Dhatrak, S.V., Chaterjee, D.M., Dhumne, U.L., & Ingole, S.V. (2017). A study on morbidity profile of lignite miners in western India. International Journal of Occupational Safety and Health, 5(1), 14-16.
Negrey, T.A. (2016a). O bezopastnosti truda gornorabochikh pri vypolnenii osnovnykh proizvodstvennykh operatsiy. Visti Donetskoho Hirnychoho Instytutu, 1(38), 84-94.
Negrey, T.A. (2016b). Issledovanie usloviy truda shakhterov pri vypolnenii osnovnykh proizvodstvennykh protsesov. Visti Donetskoho Hirnychoho Instytutu, 2(39), 108-116.
Page, K. (2009). Blood on the coal: The effect of organizational size and differentiation on coal mine accidents. Journal of Safety Research, 40(2), 85-95.
Palei, S.K., Karmakar, N.C., & Reddy, R.S.M. (2014). Effects of demography and occupational traits on consequence of injury of underground coal miners. 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 1260-1264.
Paul, P.S., & Maiti, J. (2007). The role of behavioral factors on safety management in underground mines. Safety Science, 45(4), 449-471.
Petlovanyi, M.V., Lozynskyi, V.H., Saik, P.B., & Sai, K.S. (2018). Modern experience of low-coal seams underground mining in Ukraine. International Journal of Mining Science and Technology. Article in press.
Reynolds, L.E., Blackley, D.J., Laney, A.S., & Halldin, C.N. (2017). Respiratory morbidity among US coal miners in states outside of central Appalachia. American Journal of Industrial Medicine, 60(6), 513-517.
Sanmiquel, L., Bascompta, M., Rossell, J.M., Anticoi, H., & Guash, E. (2018). Analysis of occupational accidents in underground and surface mining in Spain using data mining techniques. International Journal of Environmental Research and Public Health, 15(3), 462-472.
Sari, M., Duzgun, H.S.B., Karpuz, C., & Selcuk, A.S. (2004). Accident analysis of two Turkish underground coal mines. Safety Science, 42(8), 675-690.
Sari, M., Selcuk, A.S., Karpuz, C., & Duzgun, H.S.B. (2009). Stochastic modeling of accident risks associated with an underground coal mine in Turkey. Safety Science, 47(1), 78-87.
Sdvyzhkova, O., & Patyńska, R. (2016). Effect of increasing mining rate on longwall coal mining – Western donbass case study. Studia Geotechnica et Mechanica, 38(1), 91-98.
Shevchenko, V.G. (2017). Research on the influence of miners' energy expenditure on coal mining efficiency Scientific Bulletin of National Mining University, (3), 140-146.
Shumate, A.M., Yeoman, K., Victoroff, T., Evans, K., Karr, R., Sanchez, T., & Laney, A.S. (2017). Morbidity and health risk factors among New Mexico miners. Journal of Occupational and Environmental Medicine, 59(8), 789-794.
Sokolov, V.A., & Udalov, I.V. (2017). Mineral and raw material base of agronomical ore in Kharkiv region. Visnyk of V.N Karazin Kharkiv national university-series geology geography ecology, (47), 206-210.
Sotskov, V., Demchenko, Yu., Salli, S., & Dereviahina, N. (2017). Optimization of parameters of overworked mining gallery support while carrying out long-wall face workings. Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu, (6), 34-40.
Sotskov, V., Podvyhina, O., Dereviahina, N., & Malashkevych, D. (2018). Substantiating the criteria for applying selective excavation of coal deposits in the Western Donbass. Journal of Geology, Geography and Geoecology, 26(1), 158-164.
Vivcharenko, O. (2012). Development of coal industry of Ukraine in the context of contemporary challenges. Geomechanical Processes During Underground Mining, 1-5.