Noise Pollution in Metalwork and Woodwork Industries in the Kingdom of Saudi Arabia

Noweir, Madbuli H.; Bafail, Abdullah O.; Jomoah, Ibrahim M.

doi:10.1080/10803548.2014.11077068

Cited by 22 publications

(18 citation statements)

References 34 publications

(40 reference statements)

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“…In the present study, we included area measurements to investigate the compliance between these measurements and corresponding personal measurements. Area measurements using sound level meter have been widely used to indicate workers’ noise exposure in regions of limited economic resources including African and Asian countries ( Pandya and Dharmadhikari, 2002 ; Warrington and McLoughin, 2005 ; Ologe et al ., 2006 ; Singh et al ., 2013 ; Noweir et al ., 2014 ). Some reasons to this could be that the method is relatively inexpensive by using only one instrument, it is easy to conduct, and it takes less time than personal measurements.…”

Section: Discussionmentioning

confidence: 99%

“…This region is estimated to have an increasing occurrence of occupational-related noise-induced hearing loss due to rapid ongoing industrialization ( Concha-Barrientos et al ., 2004 ; Nelson et al ., 2005 ). Research has shown that iron and steel factories in industrialized countries are among the workplaces with high noise levels ( Lie et al ., 2016 ), but only a few studies have been conducted in developing countries on noise exposure in these same industries ( Kamal et al ., 1989 ; Pandya and Dharmadhikari, 2002 ; Ologe et al ., 2006 ; Singh et al ., 2013 ; Noweir et al ., 2014 ). To our knowledge, no such studies have been undertaken in sub-Saharan Africa.…”

Section: Introductionmentioning

confidence: 99%

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Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania

Nyarubeli

Tungu

Bråtveit

et al. 2018

Annals of Work Exposures and Health

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BackgroundMachines, processes, and tasks in the iron and steel factories may produce noise levels that are harmful to hearing if not properly controlled. Studies documenting noise exposure levels and related determinants in sub-Saharan Africa, including Tanzania are lacking. The aim of this study was to document noise exposure and to identify determinants of noise exposure with a view to establishing an effective hearing conservation programme.MethodsA walk-through survey was conducted to describe the working environment in terms of noise sources in four metal factories (A–D) in Tanzania. Noise measurements were conducted by both personal, full-shift noise measurements (8 h) using dosimeters and area measurements (10-s measurements) using a sound level meter. A total of 163 participants had repeated personal noise measurements (Factory A: 46 participants, B: 43, C: 34, and D: 40). Workers were randomly selected and categorized into 13 exposure groups according to their job. Linear mixed effects models were used to identify significant determinants of noise exposure in the furnace section and the rolling mill section.ResultsThe average personal noise exposure in the four factories was 92.0 dB(A) (range of job group means; 85.4–96.2 dB(A)) (n = 326). Personal exposure was significantly higher in the rolling mill section (93.0 dB(A)) than in the furnace section (89.6 dB(A)). Among the job groups, the cutters located in the rolling mill section had the highest noise exposure (96.2 dB(A)). In the furnace section, furnace installation (below the ground floor), manual handling of raw materials/billets/crowbars, and billet weighing/transfer were significant determinants explaining 40% of the total variance in personal noise exposure. In the rolling mill section, the size of the cutting machine, steel billet weight and feeding re-heating furnace explained 46% of the total variance in personal noise exposure. The mean noise level of the area measurements was 90.5 dB(A) (n = 376).ConclusionWorkers in the four iron and steel factories in Tanzania were exposed to average noise of 92.0 dB(A), without using hearing protection, implying a high risk of developing hearing loss. Task and factory level determinants were identified in the furnace and the rolling mill sections of the plant, which can inform noise control in factories with similar characteristics.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania

Nyarubeli

Tungu

Bråtveit

et al. 2018

Annals of Work Exposures and Health

View full text Add to dashboard Cite

show abstract

“…Noise pollution was pervasive even in U.S. protected areas [39]. Workplace health hazard of noise pollution were documented in factories [40], metalwork and woodwork industries [41], commercial banks [42], traffic [43][44], emergency wards [45], and small-scale industries [46].…”

Section: Introductionmentioning

confidence: 99%

Associations between perceived environmental pollution and health-related quality of life in a Chinese adult population

Han¹

2020

Preprint

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Background Health-related quality of life (HRQoL) measures are being used in increasingly diverse populations. However, there have no known studies to date to examine the associations between perceived environmental pollution and HRQoL in a Chinese adult population. This study aimed to report the associations between air, water, noise pollution and HRQoL among Chinese populations. Methods A cross-sectional survey data was used from East Asian Social Survey 2010 with a sample of 3866 Chinese populations in environmental pollution. HRQoL was computed by SF-12 and reflected by physical and mental component summary score (PCS & MCS). Ordinary least regression analyses were used to examine associations between perceived environmental pollution and PCS and MCS scores. Models in SPSS PROCESS were selected to demonstrate the moderating and mediating effects. Results Only considering one pollutant, perceived air pollution and perceived water pollution had significant associations with PCS and MCS scores. Perceived noise pollution had significant associations with PCS scores. Perceived air×noise, air×water, noise×water, and air×noise×water pollution had significant associations with PCS and MCS scores. Conditional (moderated) mediation showed that there were no moderating effects and mediating effects of perceived one pollutant on another pollutant. Conclusions Co-occurring perceived environmental pollution were mainly associated with progressive increase in PCS and MCS scores among the Chinese adult population. These results suggested that some effective policies should be carried out to improve environmental quality across Chinese adult population.

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“…They influence heat generation due to friction between tool and workpiece in the metalworking processes . Moreover, the processes also produce lots of dust, pollutants and noise . To overcome this problem, metalworking fluids are commonly used .…”

Section: Introductionmentioning

confidence: 99%

A Supramolecular Gel to Reduce Tool Wear and Protect Surfaces during Metalworking

et al. 2019

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Metalworking includes creating tiny designer parts, fitting of the parts and assemblies to large scale structures by forming, cutting, and joining. The processes produce lots of dust, pollutants, noise and heat. A metalworking supramolecular gel has been developed to improve workpiece quality, to reduce tool wear and protect newly cut metal surface. An efficient NDI-based gelator for silicon oil has been synthesized and investigated. From X-ray single crystal studies, the dodecyl groups adopt all anti conformation on both side of the diimide and the compound self-assembled to form supramolecular sheet-like structure. The compound successfully imbololized silicon oil and formed a soft gel at 4 wt% (w/v). From mechanical response, storage modulus (G') was greater than loss modulus (G") and did not cross each other over the entire range of angular frequency, which indicates that the gel is elastic in nature. The FE-SEM images showed that the gel is made of entangled fibers. Further the gel was used during metal cutting and grinding to reduce tool wear, and was found to prevent the sparking, absorb the dust and finally release the silicon oil to protect newly cut metal surface.[a] S.

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Noise Pollution in Metalwork and Woodwork Industries in the Kingdom of Saudi Arabia

Abstract: This study was conducted in metalwork and woodwork industries in Jeddah Industrialindustrial noise metalwork woodwork noise control Saudi Arabia

Cited by 22 publications

References 34 publications

Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania

Variability and Determinants of Occupational Noise Exposure Among Iron and Steel Factory Workers in Tanzania

Associations between perceived environmental pollution and health-related quality of life in a Chinese adult population

A Supramolecular Gel to Reduce Tool Wear and Protect Surfaces during Metalworking

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