An Integrated Risk-Based Method for Assessment of Occupational Exposures in Surface Mining

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Publicado en:Mining vol. 5, no. 4 (2025), p. 85-108
Autor principal: Korshunov Gennadiy
Otros Autores: Iliashenko Igor, Kovshov Stanislav
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MDPI AG
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022 |a 2673-6489 
024 7 |a 10.3390/mining5040085  |2 doi 
035 |a 3286330185 
045 2 |b d20251001  |b d20251231 
100 1 |a Korshunov Gennadiy  |u Department of Industrial Safety, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg 199106, Russia; korshunov_gi@pers.spmi.ru 
245 1 |a An Integrated Risk-Based Method for Assessment of Occupational Exposures in Surface Mining 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a This article delineates the outcomes of a comprehensive analysis of occupational conditions in coal mining, focusing on dust exposure. A multifaceted model is proposed for the holistic evaluation of occupational environments, integrating risk assessment methodologies and decision-making frameworks within a risk-based paradigm. Risk assessment involved pairwise comparison, T. Saaty’s Analytic Hierarchy Process, a pessimistic decision-making approach, and fuzzy set membership functions. Correlations were established between respiratory disease risk among open pit coal mine workers and dust generation sources at the project design phase. The risk values were then validated using source attributes and particle physicochemical parameter analysis, including disperse composition and morphology. The risk assessment identified haul roads as a predominant factor in occupational disease pathogenesis, demonstrating a calculated risk level of R = 0.512. The dispersed analysis indicated the prevalence of PM1.0 and submicron particles (≤1 µm) with about 77% of the particle count, the mass distribution showed the respirable fraction (1–5 µm) comprising up to 50% of the total dust mass. Considering in situ monitoring data and particulate morphology analysis haul roads (R = 0.281) and the overburden face (R = 0.213) were delineated as primary targets for the implementation of enhanced health and safety interventions. While most critical at the design stage amidst data scarcity and exposure uncertainty, the approach permits subsequent refinement of occupational risks during operations through the incorporation of empirical monitoring data. 
653 |a Dust 
653 |a Dermatitis 
653 |a Fuzzy sets 
653 |a Physicochemical properties 
653 |a Hearing loss 
653 |a Aerosols 
653 |a Occupational diseases 
653 |a Data processing 
653 |a Mining 
653 |a Risk assessment 
653 |a Overburden 
653 |a Geology 
653 |a Social responsibility 
653 |a Mining engineering 
653 |a Sustainable development 
653 |a Decision making 
653 |a Decision theory 
653 |a Respiratory diseases 
653 |a Working conditions 
653 |a Design 
653 |a Surveillance 
653 |a Risk management 
653 |a Coal mines 
653 |a Coal mining 
653 |a Health risks 
700 1 |a Iliashenko Igor  |u Department of Industrial Safety, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg 199106, Russia; korshunov_gi@pers.spmi.ru 
700 1 |a Kovshov Stanislav  |u Centre for Special Educational Programs, Empress Catherine II Saint Petersburg Mining University, Saint Petersburg 199106, Russia 
773 0 |t Mining  |g vol. 5, no. 4 (2025), p. 85-108 
786 0 |d ProQuest  |t ABI/INFORM Trade & Industry 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3286330185/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3286330185/fulltextwithgraphics/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3286330185/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch