Comparison of Road Traffic Noise prediction models: CNOSSOS-EU, Nord2000 and TRANEX.


Journal

Environmental pollution (Barking, Essex : 1987)
ISSN: 1873-6424
Titre abrégé: Environ Pollut
Pays: England
ID NLM: 8804476

Informations de publication

Date de publication:
01 Feb 2021
Historique:
received: 16 07 2020
revised: 18 11 2020
accepted: 04 12 2020
pubmed: 19 12 2020
medline: 22 1 2021
entrez: 18 12 2020
Statut: ppublish

Résumé

Road traffic noise is the most pervasive source of ambient outdoor noise pollution in Europe. Traffic noise prediction models vary in parameterisation and therefore may produce different estimates of noise levels depending on the geographical setting in terms of emissions sources and propagation field. This paper compares three such models: the European standard, Common Noise Assessment Methods for the EU Member States (hereafter, CNOSSOS), Nord2000 and Traffic Noise Exposure (TRANEX) model based on the UK methodology, in terms of their source and propagation characteristics. The tools are also compared by analysing estimated noise (L

Identifiants

pubmed: 33338959
pii: S0269-7491(20)36929-3
doi: 10.1016/j.envpol.2020.116240
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116240

Informations de copyright

Copyright © 2020 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jibran Khan (J)

Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA) at Aarhus University, Roskilde, Denmark. Electronic address: jibran@envs.au.dk.

Matthias Ketzel (M)

Department of Environmental Science, Aarhus University, Roskilde, Denmark; Global Centre for Clean Air Research (GCARE), Department of Civil and Environmental Engineering, University of Surrey, Guildford, United Kingdom.

Steen Solvang Jensen (SS)

Department of Environmental Science, Aarhus University, Roskilde, Denmark.

John Gulliver (J)

Centre for Environmental Health and Sustainability, School of Geography, Geology and the Environment, University of Leicester, Leicester, United Kingdom.

Erik Thysell (E)

FORCE Technology, Hørsholm, Denmark.

Ole Hertel (O)

Department of Environmental Science, Aarhus University, Roskilde, Denmark; Danish Big Data Centre for Environment and Health (BERTHA) at Aarhus University, Roskilde, Denmark.

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Classifications MeSH