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Improving strategic noise mapping of railway noise in Europe: Refining CNOSSOS-EU calculations using TWINS
KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0001-9372-0768
KTH, School of Engineering Sciences (SCI), Centres, VinnExcellence Center for ECO2 Vehicle design. KTH, School of Engineering Sciences (SCI), Engineering Mechanics, Fluid Mechanics and Engineering Acoustics.ORCID iD: 0000-0002-6555-531X
Accumera AB, S-18137 Lidingo, Sweden..
Univ Southampton, Inst Sound & Vibrat Res, Southampton SO17 1BJ, Hants, England..ORCID iD: 0000-0001-7334-4355
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2022 (English)In: Science of the Total Environment, ISSN 0048-9697, E-ISSN 1879-1026, Vol. 839, p. 156216-, article id 156216Article in journal (Refereed) Published
Abstract [en]

The Environmental Noise Directive (2002/49/EC) requires all European Union Member States to produce strategic noise maps using a common assessment methodology: CNOSSOS-EU. The reliability of CNOSSOS-EU railway noise evaluation is dependent on the input vehicle and track transfer functions. The CNOSSOS-EU default database contains the currently available choices for these transfer functions. However, these available transfer functions are limited and of insufficient quality, resulting in large errors in noise level calculations. An approach is presented, introducing an established analytical railway rolling noise calculation technique (TWINS), to extract more reliable and specific transfer functions. A case study consisting of railway rolling noise mitigation measures is defined and used as the basis for extracting and testing these transfer functions. The extracted transfer functions reduce the average deviation between CNOSSOS-EU and reference calculations using TWINS from6.1 dB(A) to 0.8 dB(A) in absolute sound power levels, and from 1.2 db(A) to 0.3 dB(A) in estimates of noise reduction potential for the defined mitigation measures. Application of this approach shows potential to improve the quality and depth of the existing CNOSSOS-EU default database. This may lead to more reliable estimations of railway noise in the strategic noise maps and the subsequent assessment of its harmful effects.

Place, publisher, year, edition, pages
Elsevier BV , 2022. Vol. 839, p. 156216-, article id 156216
Keywords [en]
CNOSSOS-EU, Railway rolling noise, Transfer functions, TWINS, Noise mapping
National Category
Fluid Mechanics
Identifiers
URN: urn:nbn:se:kth:diva-316431DOI: 10.1016/j.scitotenv.2022.156216ISI: 000833543400004PubMedID: 35643133Scopus ID: 2-s2.0-85131418332OAI: oai:DiVA.org:kth-316431DiVA, id: diva2:1688213
Note

QC 20220818

Available from: 2022-08-18 Created: 2022-08-18 Last updated: 2025-02-09Bibliographically approved

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Venkataraman, SiddharthRumpler, Romain

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