Analysis of environmental hazard parameters of the workplaces in steel plants in Nigeria

dc.citation.epage42
dc.citation.issueVolume 7, № 1/2
dc.citation.journalTitleUkrainian Journal of Mechanical Engineering and Materials Science
dc.citation.spage33
dc.contributor.affiliationDepartment of Mechanical Engineering, University of Ilorin
dc.contributor.affiliationDepartment of Mechanical Engineering, Dangote Cement Plc
dc.contributor.affiliationDepartment of Food Engineering, University of Ilorin
dc.contributor.affiliationSchool of Food Science and Engineering, South China University of Technology
dc.contributor.authorSaheed, Babatunde Lateef
dc.contributor.authorAdeshina, Bamidele Kayode
dc.contributor.authorBello, Bashir Olawale
dc.contributor.authorObajemihi, Obafemi Ibitayo
dc.date.accessioned2022-11-25T10:54:53Z
dc.date.available2022-11-25T10:54:53Z
dc.date.issued2021
dc.date.submitted2022
dc.description.abstractThe steel plant’s workplace environmental hazard parameters in Ilorin, Nigeria was evaluated using response surface methodology (RSM). Three environmental parameters (illumination, temperature and noise level) were measured. The data obtained were compared with the Occupational Safety and Health (OSHA) standard for the workplace environment. Based on the preliminary analysis of the workplace environment, five variables (No. of lightings, no. of windows, no. of machines, no. of workers and age of machines) were considered as input parameters. RSM was used to perform the modelling and optimization to identify functional relationships between the input and output parameters. Three (3) model equations one for each of the output parameters were developed and checked for adequacy and validity. All developed model equations were found to present functional relationships between input and output parameters. Hence, all developed model equations can be used as reliable tools for estimating, predicting, and conducting analysis for workplace environmental hazard. Best optimized results were selected based on desirability (0–1). Illumination, temperature and noise level got desirability rate of 0.921, 1.000 and 0.983 respectively. The outcome of this study suggested that the environmental parameters studied within the workplace do not conform with the OSHA standard and as a result may constitute long-term health risks to the workers.
dc.format.pages33-42
dc.identifier.citationAnalysis of environmental hazard parameters of the workplaces in steel plants in Nigeria / Babatunde Lateef Saheed, Bamidele Kayode Adeshina, Bashir Olawale Bello, Obafemi Ibitayo Obajemihi // Ukrainian Journal of Mechanical Engineering and Materials Science. – Lviv : Lviv Politechnic Publishing House, 2021. – Volume 7, № 1/2. – P. 33–42. – Bibliography: 15 titles.
dc.identifier.doihttps://doi.org/10.23939/ujmems2021. 01-02.033
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/57219
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofUkrainian Journal of Mechanical Engineering and Materials Science
dc.relation.references[1] H. A. Ajimotokan, and K. A. Adebiyi “Development of a mathematical model for managing magnitude and risk factors”, Nigeria Journal of Technological Development, vol.7, no 3, рр.75–82, 2010 [2] F. Lund, and A. Marriott Occupation Health and Safety and the Poorest, Kwazulu: School of Development Studies, University of Kwazulu-Natal, 2011. [3] A.G.F. Alabi and B. K. Adeshina “Assessment of the quality of steel rods from two cement production site”, International Journal of Engineering Science and Invention (IJESI), vol. 8, no. 2, pp. 56–62, 2019. [4] I. K. Adegun, H. A. Ajimotokan and G. O. Oyelohunnu “The Development of interactive software for assessing risk and estimating man-hour loss”, IJRRAS, pp. 48–53, 2011. [5] K. R. Adewoye, A. O. Awoyemi and D. O. Ibirongbe “Knowledge on the Health Effects of Welding Smoke, Use of PPE Among Electric-Arc Welders in Ilorin South, North Central Nigeria”, Journal of Asian Scientific Research, vol. 3, no. 9, pp. 924–932, 2013. [6] K. Sabitu, Z. Iliyasu, and M.M. Dauda “Awareness of occupational hazards and utilization of safety measures among welders in Kaduna Metropolis, Northern Nigeria”, Annual Africa Med., pp. 46–51. 2009. [7] Occupational Safety and Health Administration (2018). Occupational Noise Exposure standards (29 CFR 1910.1459). Retrieved from OSHA website: http://www.osha.gov/publication/laboratory/OSHAfactsheet-laboratory safety-noisepdf. [8] NIOSH, Recommendation for Occupational Safety and Health. Compendium Policy and Document, DHHS (NIOSH) Publication, pp. 92–100, 1992. [9] UNEP, Energy Efficiency Guide for Industry in Asia, United Nation Environmental Programme (UNEP), United Nation Publications, June 2006. [10] D. D. Steppan, J. Werner, and R. P. Yeater, Essential Regression and Experimental Design for Chemist and Engineers. A manual for Regression Models, pp.12–88, 1998. [11] C. M. Macal, Model Verification and Validation. Paper presented at a workshop on Threat Anticipation Social Science Methods and Models. 2005. [12] M. M. Odewole, and A. M. Olaniyan, “Empirical Modeling of Drying Rate and Qualities of Red Bell Pepper”, Lambert Academic Publishing, June, 2015. [13] E. O. Ajala, A. M. Olaniyan, F. Aberuagba and M. M. Odewole, One-pot synthesis of biodiesel from high FFA shea butter in an optimization study using response surface methodology. pp.821–828, 2018. [14] O. I. Obajemihi, J.O. Olaoye, J.O. Ojediran, J. H. Cheng, and D.W. Sun, “Model development and optimization of process conditions for color properties of tomatoes in a hot-air convective dryer using box-behnken design”. Journal of Food Processing and Preservation, vol. 44, no. 10, pp. 1 – 13, 2020. [15] O. I. Obajemihi, J.O. Olaoye, J. H Cheng, J.O. Ojediran, and D. W. Sun, “Optimization of process conditions for moisture ratio and effective moisture diffusivity of tomato during convective hot-air drying using response surface methodology”, Journal of Food Processing and Preservation, vol.45, no. 4, pp. 1 – 14, 2021.
dc.subjectillumination, noise, steel, temperature, workplace safety
dc.titleAnalysis of environmental hazard parameters of the workplaces in steel plants in Nigeria
dc.typeArticle

Files

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
035-044.pdf
Size:
302.21 KB
Format:
Adobe Portable Document Format