Analysis of the risk structure of injuries and occupational diseases in the mining industry of the Far North of the Russian Federation

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Authors:

S. G. Gendler, Dr. Sc. (Tech.), Prof., orcid.org/0000-0002-7721-7246, Saint Petersburg Mining University, Saint Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

M. L. Rudakov, Dr. Sc. (Tech.), Prof., orcid.org/0000-0001-7428-5318, Saint Petersburg Mining University, Saint Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

E. S. Falova, orcid.org/0000-0003-2640-8621, Saint Petersburg Mining University, Saint Petersburg, Russian Federation, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2020, (3): 81-85

https://doi.org/10.33271/nvngu/2020-3/081

 

повний текст / full article

 

 

Abstract:

Purpose. To determine the value of the components and the impact of environmental factors on the risk structure of workplace injuries and occupational illnesses in the mining industry of the Far North of the Russian Federation, conditioned by the combined influence of workplace factors and unfriendly climatic conditions.

Methodology. The methodology for solving this issue is based on a comparative analysis of the dynamics of the risks of occupational injuries and illnesses over a decade, both for Russia at large, for Murmansk region and the Komi Republic in particular, and for their mining industries, with further calculation of the “background” risk depending on the environmental and climatic specifics of the northern territories.

Findings. The paper contains a correlation analysis of workplace injuries and occupational illnesses in the Russian Federation, Murmansk region and the Komi Republic. The background rate of their risk is calculated. It was established that background risks for the territories of the Far North of the Russian Federation are adequately described by linear correlation. The specific weight of the background risk at the overall risk of injuries and illnesses for mining industries of Murmansk region and the Republic of Komi is established.

Originality. A method for calculating the value of the “background” risk and identifying its dynamics over a decade is developed.

Practical value. The objectivity of assessing the risks of occupational illnesses and workplace injuries in the mining sectors of the Far North of the Russian Federation by factoring in the value of the “background” risk is increased.

References.

1. Work injury statistics (2019). Retrieved from https://vawilon.ru/statistika-proizvodstvennogo-travmatizma/.

2. Schulte, P. A., Whittaker, C., & Curran, C. P. (2015). Considerations for using genetic and epigenetic information in occupational health risk assessment and standard setting. Journal of Occupational and Environmental Hygiene, 12, 69-81. https://doi.org/10.1080/15459624.2015.1060323.

3. Anisimov, I. M., & Fomin, A. I. (2015). Approaches and criteria for assessing the state of labor safety at the enterprise. Bulletin of the Scientific Center for Coal Safety, (4), 80-84. Retrieved from https://www.elibrary.ru/item.asp?id=24992659.

4. Fainburg, G. Z. (2018). The occupational safety and health system: key problems and solutions. Human Resources Management, 9(3), 58-65. https://doi.org/10.29141/2218-5003-2018-9-3-10.

5. Zhou, L.-J., Cao, Q.-G., Yu, K., Wang, L.-L., & Wang, H.-B. (2018). Research on occupational safety, health management and risk control technology in coal mines. International Journal of Environmental Research and Public Health, 15(5), 868. https://doi.org/10.3390/ijerph15050868.

6. Canadian Centre for Occupational Health and Safety. (2017a). Retrieved from https://www.ccohs.ca/oshanswers/hsprograms/risk_assessment.html.

7. Canadian Centre for Occupational Health and Safety. (2017b). Retrieved from https:// www.ccohs.ca/oshanswers/hsprograms/sample_risk.html.

8. Arbeidsmiljøguiden (2019). Retrieved from https://www.arbeidstilsynet.no/.

9. Gendler, S. G., Grishina, A. M., & Samarov, L. Yu. (2017). Methodology for assessing the state of labor protection in vertically integrated coal companies by the factor of occupational injuries. Izvestiya TulGU. Earth Sciences, (4), 97-108.

10. Gendler, S. G., & Grishina, A. M. (2017). Improving the efficiency of mining training in safe working practices is the basis for reducing occupational injuries and accidents. Mountain News and Analysis Bulletin, (4), 318-325.

11. Gendler, S. G., Grishina, A. M., & Samarov, L. Y. (2019). Assessment of the labour protection condition in the vertically integrated coil companies on the basis of risk-oriented approach to analysis of industrial injuries. In Innovation-Based Development of the Mineral Resources Sector: Challenges and Prospects: Proceedings of the XITH Russian-German Raw Materials Confe­rence, (pp. 507-514). Potsdam, Germany. Retrieved from https://cyberleninka.ru/article/n/metodika-otsenki-sostoyaniya-ohrany-truda-v-vertikalno-integrirovannyh-ugolnyh-kompaniyah-po-faktoru-proizvodstvennogo-travmatizma/viewer.

12. Fomin, A. I., Igishev, V. G., Fadeev, Yu. A., & Anisimov, I. M. (2018). Patterns of the development of occupational diseases in workers when developing opencast coal deposits. Industrial Safety, (4), 5-11.

13. Levashov, S. P., Karnachev, I. P., & Cheltybashev, A. A. (2018). Occupational risk management strategies through analysis of key indicators of occupational safety monitoring. Izvestiya TulGU. Earth Sciences, (2), 146-153.

14. Gendler, S. G., Kochetkova, E. A., & Dal, N. N. (2016). Experience in improving labor protection management in the coal industry of Russia on the example of OJSC Vorkutaugol. Notes of the Mining Institute, 206, 173-176.

15. Federal State Statistics Service for the Republic of Komi. (2019c). Retrieved from http://komi.gks.ru/.

16. Federal State Statistics Service of Russia. (2019a). Retrieved from http://www.gks.ru/.

17. Federal State Statistics Service of the Murmansk Region. (2019b). Retrieved from http://murmanskstat.gks.ru/.

18. Federal Service for Supervision of Consumer Rights Protection and Human Well-Being. (2019a). Retrieved from https://rospotrebnadzor.ru/.

19. Intima, D. P. (2017). Sampling plan for quality monitoring of suppliers of the sanitation sector. Periodico Tche Quimica, 14(27), 39-43.

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ISSN (print) 2071-2227,
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Journal was registered by Ministry of Justice of Ukraine.
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