<i>A Noise Survey of Manufacturing Industries</i>

Karplus, Henry B.; Bonvallet, G. L.

doi:10.1080/00968205309343944

Cited by 15 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The manufacturing sector consequently has the highest number of noise-exposed workers [125,126]. Workers in different industries, such as coal-fuelled power plants, textile mills, chemical manufacturing plants and steel plants, are also exposed to noise levels above the regulated exposure limits during routine activities [19,74,112,[126][127][128][129][130]. Maximum noise levels measured in these sectors can reach 120 dB [128] and contain different spectral frequencies [131].…”

Section: Occupational Disease Trends In South African General Industrymentioning

confidence: 99%

“…Workers in different industries, such as coal-fuelled power plants, textile mills, chemical manufacturing plants and steel plants, are also exposed to noise levels above the regulated exposure limits during routine activities [19,74,112,[126][127][128][129][130]. Maximum noise levels measured in these sectors can reach 120 dB [128] and contain different spectral frequencies [131]. Publicly available noise records show a general reduction in industry noise levels since the late 1970s [124,132].…”

Section: Occupational Disease Trends In South African General Industrymentioning

confidence: 99%

See 1 more Smart Citation

Occupational Health and Safety Statistics as an Indicator of Worker Physical Health in South African Industry

Rikhotso

Morodi

Masekameni

2022

IJERPH

View full text Add to dashboard Cite

Operations in general industry, including manufacturing, expose employees to a myriad of occupational health hazards. To prevent exposure, occupational health and safety regulations were enacted, with both employers and workers instituting various risk reduction measures. The analysis of available occupational disease and injury statistics (indicators of worker physical health) can be used to infer the effectiveness of risk reduction measures and regulations in preventing exposure. Thus, using the READ approach, analyses of occupational disease and injury statistics from South African industry, derived from annual reports of the Compensation Fund, were conducted. The publicly available database of occupational disease and injury statistics from the South African general industry is unstructured, and the data are inconsistently reported. This data scarcity, symptomatic of an absence of a functional occupational disease surveillance system, complicates judgement making regarding the effectiveness of implemented risk reduction measures, enacted occupational health and safety regulations and the status of worker physical health from exposure to workplace hazards. The statistics, where available, indicate that workers continue to be exposed to occupational health impacts within general industry, notwithstanding risk reduction measures and enacted regulations. In particular, worker physical health continues to be impacted by occupational injuries and noise-induced hearing loss. This is suggestive of shortcomings and inefficiencies in industry-implemented preventive measures and the regulatory state. A robust national occupational disease surveillance system is a regulatory tool that should detect and direct policy responses to identified occupational health hazards.

show abstract

Section: Occupational Disease Trends In South African General Industrymentioning

confidence: 99%

Section: Occupational Disease Trends In South African General Industrymentioning

confidence: 99%

Occupational Health and Safety Statistics as an Indicator of Worker Physical Health in South African Industry

Rikhotso

Morodi

Masekameni

2022

IJERPH

View full text Add to dashboard Cite

show abstract

“…in the 1970's from the work ofKarplus and Bonvallet (1953) who measured 579 noise spectra from various industries. NIOSH selected the noises based on standard industrial codes (SICs) to be representative of general industry.…”

mentioning

confidence: 99%

A new hearing protector rating: The Noise Reduction Statistic for use with A weighting (NRSA).

Berger¹,

Gauger

2004

The Journal of the Acoustical Society of America

View full text Add to dashboard Cite

An obvious and important question to ask in regard to hearing protection devices (HPDs) is how much hearing protection, commonly called attenuation or noise reduction, can they provide. With respect to the law, at least, this question was answered in 1979 when the U. S. Environmental Protection Agency (EPA) promulgated a labeling regulation for hearing protection devices (HPDs) that specified a descriptor called the Noise Reduction Rating (NRR) measured in decibels (dB). In the intervening 25 years many questions and concerns have arisen over this regulation. Currently the EPA is considering publication of a proposed revised rule. This report examines a number of the relevant issues in order to provide recommendations for a new label, new ratings, and a preferred method of obtaining the test results from which the ratings are computed. A wide variety of ratings are reviewed, from the putative gold standard, an octave-band calculation, to simplified ratings employing fewer numbers that can be applied to more common noise measures such as C-weighted or even A-weighted sound levels or exposures. Additionally, the most simplified method of all, namely a class or grading scheme is examined. The conclusion is that a Noise Reduction Statistic for use with A weighting (NRS A), an A-A' rating computed in a manner that considers both inter-subject and inter-spectrum variation in protection, yields sufficient precision for most situations. Justification for this recommendation stems from consideration of the inter-wearer variation in fitting, the variation in noise spectra, and the accuracy of the basic measurements of hearing protector attenuation and noise-exposure values. Furthermore, it is suggested that to provide additional guidance to the purchaser, two such ratings ought to be specified on the primary package label-the smaller one to indicate the protection that is possible for most users to exceed, and the larger one to indicate the protection that is possible to achieve by individual highly motivated expert users; the range between the two numbers conveys to the user the uncertainty in protection provided. Guidance on how to employ these numbers, and a suggestion for an additional, more precise, graphically oriented rating to be provided on a secondary label (the Noise Reduction Rating, graphical, NRS G) are also included. Another important consideration is the data from which the new rating is computed. Examination of potential types of data from U. S. or international standards reveals that ANSI S12.6-1997 Method-B data appear to provide the best correlation to field performance and hence the most useful ratings; however, concerns about the reproducibility of Method-B based results led us to also offer an alternative Method-A based value. Since insufficient data are available at this time to clearly distinguish between the two recommendations the need for an interlaboratory study is identified along with suggestions for how it might be conducted.

show abstract

References and Further Reading

Pohl

2011

Building Science

View full text Add to dashboard Cite

A Noise Survey of Manufacturing Industries

Cited by 15 publications

References 3 publications

Occupational Health and Safety Statistics as an Indicator of Worker Physical Health in South African Industry

Occupational Health and Safety Statistics as an Indicator of Worker Physical Health in South African Industry

A new hearing protector rating: The Noise Reduction Statistic for use with A weighting (NRSA).

References and Further Reading

Contact Info

Product

Resources

About