On the Low Frequency Noise Assessment Method

Lenzuni, Paolo

doi:10.1260/026309203322770301

Cited by 1 publication

(2 citation statements)

References 3 publications

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“…J-weighting was introduced to deal with LFN and annoyance aspects. Characteristics of J-weighting include a correction factor for impulsiveness and a weighting shape similar to pre-existing loudness curves (when using broad-band compared to single-tone signals), except for frequencies around 50 Hz that are depressed with respect to the higher frequencies above 125 Hz [21]. J-weighting appears to be only effective in dealing with low to moderate annoyance levels and, unfortunately, only gives a value slightly below the A-weighting scale.…”

Section: Other Weighting Scalesmentioning

confidence: 99%

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Incorporating Low Frequency Noise Legislation for the Energy Industry in Alberta, Canada

DeGagne¹,

Lapka

2008

Journal of Low Frequency Noise, Vibration and Active Control

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Environmental noise from energy industry facilities in Alberta, Canada, is regulated by the province's Energy Resources Conservation Board (ERCB) (until 2008 known as the Alberta Energy and Utilities Board [EUB]) as set out in Directive 038: Noise Control. The 2007 edition of the directive, which comprises a comprehensive policy and guide, adopts A-weighted energy equivalent sound levels (LAeq), with sound pressure level criteria, as the primary measurement system for a receptor location. With the receptor being some distance from the energy industry noise source, the high and medium frequency components can dissipate or be absorbed by air and ground conditions, leaving mostly low frequency noise (LFN). Consequently, Aweighted measurements do not reflect the full annoyance potential of the remaining industrial noise. Complaints related to LFN are often described by the affected party as a deep, heavy sound, like "humming", sometimes with an accompanying vibration. In some cases, the direction of the source of the LFN will be unknown to the receptor. However, it is the complainant that is most able to detect the presence of the LFN, signifying a particular sensitivity of the individual to the sound while others in the same family may not be able to detect the sound at all. To make a proper determination for the presence of LFN, the data must be collected during a time when environmental conditions are representative of when the sound is annoying. Residents who are impacted by LFN may suffer from sleep disturbances, headaches, and in some cases chronic fatigue. This paper examines the work undertaken by the ERCB to understand the issue, the various metrics tested to easily identify LFN, and finally the approach that would be incorporated into the new 2007 edition of Directive 038: Noise Control to address the problem.

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Section: Other Weighting Scalesmentioning

confidence: 99%

“…J-weighting appears to be only effective in dealing with low to moderate annoyance levels and, unfortunately, only gives a value slightly below the A-weighting scale. J-weighting would therefore be too small of a drop to integrate as a new standalone frequency weighting [21].…”

Section: Other Weighting Scalesmentioning

confidence: 99%

Incorporating Low Frequency Noise Legislation for the Energy Industry in Alberta, Canada

DeGagne¹,

Lapka

2008

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

show abstract

On the Low Frequency Noise Assessment Method

Cited by 1 publication

References 3 publications

Incorporating Low Frequency Noise Legislation for the Energy Industry in Alberta, Canada

Incorporating Low Frequency Noise Legislation for the Energy Industry in Alberta, Canada

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