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Features of the assessment of occupational risks under hazardous working conditions

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Category: Content №4 2024

Last Updated on 28 August 2024

Published on 30 November -0001

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Authors:

V.I.Golinko*, orcid.org/0000-0001-6069-0515, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

V.A.Zabelina, orcid.org/0000-0002-7678-7917, Dnipro University of Technology, Dnipro, Ukraine, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

* Corresponding author e-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

повний текст / full article

Naukovyi Visnyk Natsionalnoho Hirnychoho Universytetu. 2024, (4): 086 - 091

https://doi.org/10.33271/nvngu/2024-4/086

Abstract:

Purpose. To improve the process of assessing occupational risks caused by hazardous working conditions, taking into account the exposure of hazardous factors, as a quantitative characteristic of the intensity and duration of the hazardous factor, and the available results of certification of workplaces in terms of working conditions.

Methodology. Theoretical studies are based on the use of the basic provisions of probability theory, methods of mathematical modeling, statistical processing of indicators of occupational morbidity and methods of risk assessment by constructing a matrix of consequences/likelihood according to the ISO 31010:2013 standard.

Findings. A matrix of consequences/likelihood for assessing the overall occupational risk to the health of employees caused by hazardous working conditions is proposed, which includes five indicators characterizing the severity of the consequences, and five indicators characterizing the probability of an event (qualitative and score ones). The peculiarity of the matrix is that the probability score directly reflects the multiplicity of exceeding the permissible values of hazardous production factors established by regulatory legal acts which characterize working conditions.

Originality. A new approach to determining the seriousness of the consequences of hazardous production factors has been proposed, which consists in taking into account the regularities of occurrence of occupational and work-caused morbidity of workers and the existing mechanisms for its prevention. The relationship between the prevalence of certain types of occupational morbidity of workers and specific working conditions (exposure to factors of the production environment) has been established.

Practical value. The results of the study allow employees of safety departments to assess the overall occupational risk to the health of employees, caused by hazardous working conditions, directly on the basis of the available cards of working conditions obtained as a result of certification of workplaces on working condition. Based on the results of the assessment, it is possible to determine the permissible time of the employee’s work in hazardous working conditions, for which the permissible value of the risk of occupational disease is not exceeded.

Keywords: occupational disease, risk, hazardous production factor, working conditions, exposure

References.

1. International Labour Organization (ILO) (2019). Safety and Health at the heart of the Future of Work: Building on 100 years of experience (Report, Geneva). Retrieved from https://www.ilo.org/wcmsp5/groups/public/---dgreports/---dcomm/documents/publication/wcms_686645.pdf.

2. DSTU ISO 45001:2019 Occupational health and safety management systems. Requirements and guidelines for application (ISO 45001:2018, IDT) (2019). Kyiv: UkrNDNC. Retrieved from https://zakon.isu.net.ua/sites/default/files/normdocs/dstu_iso_45001_2019.pdf.

3. Paltrinieri, N., Scarponi, G. E., Khan, F., & Hauge, S. (2014). Addressing dynamic risk in the petroleum industry by means of innovative analysis solutions. Chemical Engineering Transactions, 36, 451-456.

4. Golinko, V., Cheberyachko, S., Deryugin, O., Tretyak, O., & Dus­ma­to­va, O. (2020). Assessment of the Risks of Occupational Diseases of the Passenger Bus Drivers. Safety and Health at Work, 1(4), 543-549.

5. Wahyu, N. C., Trika, P., & Bagus, D. (2020).  Risk Analysis Using Job Safety Analysis-Fuzzy Integration for Ship Maintenance Operation. IPTEK The Journal for Technology and Science, 31(3), 327-342. https://doi.org/10.12962/j20882033.v31i3.5655.

6. Lee, S., Landucci, G., Reniers, G., & Paltrinieri, N. (2019). Validation of Dynamic Risk Analysis Supporting Integrated Operations Across Systems. Sustainability, 11, 6745. https://doi.org/10.3390/su11236745.

7. Hu, Y. (2019). A New Mode of HSE Risk Management for Construction Projects. Risk Management in Construction Projects. https://doi.org/10.5772/intechopen.84358.

8. Wahyu, N. C., Trika, P., & Bagus, D. (2020).  Risk Analysis Using Job Safety Analysis-Fuzzy Integration for Ship Maintenance Operation. IPTEK The Journal for Technology and Science, 31(3), 327-342. https://doi.org/10.12962/j20882033.v31i3.5655.

9. Golinko, V., & Hridyaev, V. (2022). Forecasting the risk of occupational diseases of dust etiology. News of the Donetsk Mining Institute, 2(51),25-34. https://doi.org/10.31474/1999-981X-2022-2-25-34.

10. DSTU 2293:2014 Occupational Health. Terms and definitions. (2015). Retrieved from https://zakon.isu.net.ua/sites/default/files/normdocs/2-9773-ohorona_praci._terminy.pdf.

11. State sanitary norms and rules. Hygienic classification of work according to indicators of harmfulness and dangerous factors of the production environment, difficulty and tension of the labor process. (2014). Official Gazette of Ukraine, 41, 95-132 Retrieved from https://zakon.rada.gov.ua/laws/show/z0472-14#Text.

12. DSTU IEC/ISO 31010:2013 Risk management. Methods of general risk assessment (IEC/ISO 31010:2009, IDT) (2014). Kyiv: UkrNDNC. Retrieved from http://online.budstandart.com/ua/catalog/doc-page.html?id_doc=66723.

13. Yang, X., Haugen, S., & Paltrinieri, N. (2018). Clarifying the concept of operational risk assessment in the oil and gas industry. Safety Science, 108, 259-268. https://doi.org/10.1016/j.ssci.2017.12.019.

14. Kruzhylko, O., Storozh, Ya., Lyutak, Z., & Prakhovnik, N. (2017). Methodological principles of industrial risk assessment when planning preventive measures. Problemy okhorony pratsi v Ukrayini, 33, 15-21.

15. Loh, T. Y., Brito, M. P., Bose, N., Xu, J., & Tenekedjiev, K. A. (2019). Fuzzy-Based Risk Assessment Framework for Autonomous Underwater Vehicle Under-Ice Missions. Risk analysis: an official publication of the Society for Risk Analysis, 39(12), 2744-2765. https://doi.org/10.1111/risa.13376.

16. NPAOP 10.0-5.08-04. Instructions for measuring dust concentration in mines and accounting for dust loads (2004). Retrieved from https://pdf.sop.zp.ua/npaop_10_0-5_08-04.pdf.

17. DSTU EN 1827:2017. Personal protective equipment for respiratory organs. Half-masks without inhalation valves and with separate filters for protection against gases or gases and aerosols, or only against aerosols. Requirements, testing, marking (2017). Retrieved from https://online.budstandart.com/ua/catalog/doc-page.html?id_doc=75559.

18. Cheberiachko, S. I., Frundin, V. Yu., Cheberiachko, Yu. I., Stolbchenko, O. V., & Radchuk, D. I. (2017). Experimental studies of the influence of microclimate parameters on human performance during the use of filter respirators. Ukrayinsʹkyy zhurnal z problem medytsyny pratsi, 4, 54-58.

19. Yuan, S., Yang, M., Reniers, G., Chen, C., & Wu, J. (2022). Safety barriers in the chemical process industries: A state-of-the-art review on their classification, assessment, and management. Safety Science, 148, 105647. https://doi.org/10.1016/j.ssci.2021.105647.

20. Liu, R., Liu, H.-C., Shi, H., & Gu, X. (2023). Occupational health and safety risk assessment: A systematic literature review of models, methods, and applications. Safety Science, 160, 106050. https://doi.org/10.1016/j.ssci.2022.106050.

21. Paltrinieri, N., Comfort, L., & Reniers, G. (2019). Learning about risk: Machine learning for risk assessment. Safety Science, 118, 475-486. https://doi.org/10.1016/j.ssci.2019.06.001.

22. Bazaluk, O., Tsopa, V., Cheberiachko, S., Deryugin, O., Radchuk, D., Borovytskyi, O., & Lozynskyi, V. (2023). Ergonomic Risk Management Process for Safety and Health at Work. Frontiers Public Health, 11, 1253141. https://doi.org/10.3389/fpubh.2023.1253141.

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