| Literature DB >> 31731688 |
Guillaume Dutilleux1, Truls Gjestland2, Gaetano Licitra3,4.
Abstract
In the vast majority of legislation on environmental noise, the metric used for expressing limit values is based on sound pressure levels. But some countries have introduced sound emergence limit values where the compliance of a noise-generating activity is defined as a maximum allowable difference between the sound pressure level with and without the regulated activity operating. This paper investigates the foundations and the merits of this kind of differential noise limit values. Our review of literature indicates that there is very little evidence supporting the use of differential noise limits over absolute ones. Moreover, while sound emergence limits seem to originate from consideration about audibility of the regulated noise source, they appear to give little insight into what is audible and what is not. Furthermore, both the definition and the practical measurement of sound emergence raise several challenges that compromise reproducibility. In addition, first, the reference to background noise makes it very difficult first to ascertain the conformity of noisy installations in the long run, second to effectively protect the community from excessive noise and third to evaluate conformity on the basis of simulations. When switching to another metric is not an option the paper makes recommendations toward a more reliable use of sound emergence.Entities:
Keywords: annoyance; audibility; legislation; measurement; prediction; signal-to-noise ratio; sound emergence; uncertainty
Mesh:
Year: 2019 PMID: 31731688 PMCID: PMC6888303 DOI: 10.3390/ijerph16224517
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1Total, specific and residual sound. 3 sources A, B and C are identified but other non identified sources combine into the total sound (a). With respect to A, the residual sound is observed when the specific sound A is absent (b), everything else being equal.
Figure 2Relationship between signal-to-noise ratio (SNR) and e.