Data Entry: Please note that the research database will be replaced by UNIverse by the end of October 2023. Please enter your data into the system https://universe-intern.unibas.ch. Thanks

Login for users with Unibas email account...

Login for registered users without Unibas email account...

 
Intermittency ratio : a metric reflecting short-term temporal variations of transportation noise exposure
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 3648218
Author(s) Wunderli, Jean Marc; Pieren, Reto; Habermacher, Manuel; Vienneau, Danielle; Cajochen, Christian; Probst-Hensch, Nicole; Röösli, Martin; Brink, Mark
Author(s) at UniBasel Probst Hensch, Nicole
Röösli, Martin
Vienneau, Danielle
Year 2016
Title Intermittency ratio : a metric reflecting short-term temporal variations of transportation noise exposure
Journal Journal of exposure science and environmental epidemiology
Volume 26
Number 6
Pages / Article-Number 575-585
Abstract Most environmental epidemiology studies model health effects of noise by regressing on acoustic exposure metrics that are based on the concept of average energetic dose over longer time periods (i.e. the Leq and related measures). Regarding noise effects on health and wellbeing, average measures often cannot satisfactorily predict annoyance and somatic health effects of noise, particularly sleep disturbances. It has been hypothesized that effects of noise can be better explained when also considering the variation of the level over time and the frequency distribution of event-related acoustic measures, such as for example, the maximum sound pressure level. However, it is unclear how this is best parametrized in a metric that is not correlated with the Leq, but takes into account the frequency distribution of events and their emergence from background. In this paper, a calculation method is presented that produces a metric which reflects the intermittency of road, rail and aircraft noise exposure situations. The metric termed intermittency ratio (IR) expresses the proportion of the acoustical energy contribution in the total energetic dose that is created by individual noise events above a certain threshold. To calculate the metric, it is shown how to estimate the distribution of maximum pass-by levels from information on geometry (distance and angle), traffic flow (number and speed) and single-event pass-by levels per vehicle category. On the basis of noise maps that simultaneously visualize Leq, as well as IR, the differences of both metrics are discussed.
Publisher Nature Publishing Group
ISSN/ISBN 1559-0631
edoc-URL http://edoc.unibas.ch/44687/
Full Text on edoc No
Digital Object Identifier DOI 10.1038/jes.2015.56
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/26350982
ISI-Number WOS:000386539500006
Document type (ISI) Article
 
   

MCSS v5.8 PRO. 0.432 sec, queries - 0.000 sec ©Universität Basel  |  Impressum   |    
23/02/2024