Literature DB >> 19274486

Assessment of noise level in sundry processing and manufacturing industries in Ilorin metropolis, Nigeria.

Olayinka S Oyedepo1, Abdullahi A Saadu.   

Abstract

In this work, noise level in five selected processing and manufacturing industries in Ilorin are evaluated and compared. Emphasis is given to noise emitted by individual industrial machinery from the selected industries. Event L(Aeq) and L(N) cycles were studied to identify the noisy machines and to generate baseline data. Findings show that hammer mill machine from mineral-bearing rock-crushing mills produced the highest average noise [98.4 dB(A)], an electric generator 1 [95.6 dB(A)] from the soft drink bottling industry, an electric generator [97.7 dB(A)] from the beer brewing and bottling industry, a vacuum pump [93.1 dB(A)] from the tobacco making industry, and an electric generator 2 [94.1 dB(A)] from the mattress-making industry. The highest and lowest average noise exposure levels are recorded in mineral-bearing rock-crushing mills [93.16 dB(A)] and the mattress making industry [84.69 dB(A)], respectively. The study shows that, at 95% confidence level, there is significant difference (P < 0.05) in noise levels in the industries surveyed. The percentages of machines that emit noise above Federal Environmental Protection Agency and Occupational Safety and Health Administration recommendations [90 dB(A)] are from the soft drink bottling industry (83.3%), the beer brewing and bottling industry (42.9%), the tobacco making industry (71.4%), the mattress making industry (11.1%), and minerals crushing mills (87.5%). In the past 20 years, the noise levels in the soft drink bottling industry were reduced by 0.58 dB(A), and those of the beer brewing and bottling industry were reduced by 9.66 dB(A). However, that of the mattress making industry increased by 2.69 dB(A). On average, the noise level in these industries has been reduced by 2.52 dB(A). The results of this study show that the noise control measures put in place have significant impacts on the noise exposure level in the industries surveyed.

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Year:  2009        PMID: 19274486     DOI: 10.1007/s10661-009-0809-9

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

1.  Surveillance of noise exposure in the Danish workplace: a baseline survey.

Authors:  S Kock; T Andersen; H A Kolstad; B Kofoed-Nielsen; F Wiesler; J P Bonde
Journal:  Occup Environ Med       Date:  2004-10       Impact factor: 4.402

2.  The global burden of occupational noise-induced hearing loss.

Authors:  Deborah Imel Nelson; Robert Y Nelson; Marisol Concha-Barrientos; Marilyn Fingerhut
Journal:  Am J Ind Med       Date:  2005-12       Impact factor: 2.214

3.  Industrial noise pollution and its effects on the hearing capabilities of workers: A study from saw mills, printing presses and corn mills.

Authors:  Charles Asamoah Boateng; Geoffrey Kwabla Amedofu
Journal:  Afr J Health Sci       Date:  2004

4.  Evaluation of occupational environment in two textile plants in Northern India with specific reference to noise.

Authors:  Raman Bedi
Journal:  Ind Health       Date:  2006-01       Impact factor: 2.179

  4 in total
  2 in total

1.  Objective approach for analysis of noise source characteristics and acoustic conditions in noisy computerized embroidery workrooms.

Authors:  Mohsen Aliabadi; Rostam Golmohammadi; Muharram Mansoorizadeh
Journal:  Environ Monit Assess       Date:  2013-11-11       Impact factor: 2.513

2.  Bioaerosols, Noise, and Ultraviolet Radiation Exposures for Municipal Solid Waste Handlers.

Authors:  France Ncube; Esper Jacobeth Ncube; Kuku Voyi
Journal:  J Environ Public Health       Date:  2017-01-12
  2 in total

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