Improving strategic noise mapping of railway noise in Europe: Refining CNOSSOS-EU calculations using TWINS
Improving strategic noise mapping of railway noise in Europe: Refining CNOSSOS-EU calculations using TWINS
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 from 6.1 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.
CNOSSOS-EU, Noise mapping, Railway rolling noise, TWINS, Transfer functions
Venkataraman, Siddharth
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Rumpler, Romain
83a00c62-5f65-46ba-8076-62b4cf993133
Leth, Siv
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Toward, Martin
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Bustad, Tohmmy
ed12cc0c-5233-4c60-826e-8e571f3aa274
15 September 2022
Venkataraman, Siddharth
5a5307c3-cd23-449b-a010-7e48390204d0
Rumpler, Romain
83a00c62-5f65-46ba-8076-62b4cf993133
Leth, Siv
7679a888-478d-4804-be7d-82e97586ea70
Toward, Martin
1d10e993-e6ef-449d-bccb-1f8198169bee
Bustad, Tohmmy
ed12cc0c-5233-4c60-826e-8e571f3aa274
Venkataraman, Siddharth, Rumpler, Romain, Leth, Siv, Toward, Martin and Bustad, Tohmmy
(2022)
Improving strategic noise mapping of railway noise in Europe: Refining CNOSSOS-EU calculations using TWINS.
SSRN Electronic Journal, 839, [156216].
(doi:10.1016/j.scitotenv.2022.156216).
Abstract
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 from 6.1 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.
Text
1-s2.0-S0048969722033137-main
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More information
Accepted/In Press date: 21 May 2022
e-pub ahead of print date: 25 May 2022
Published date: 15 September 2022
Keywords:
CNOSSOS-EU, Noise mapping, Railway rolling noise, TWINS, Transfer functions
Identifiers
Local EPrints ID: 468292
URI: http://eprints.soton.ac.uk/id/eprint/468292
PURE UUID: b7f2d722-3aa2-4b89-84a4-0b0b41042b62
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Date deposited: 09 Aug 2022 16:58
Last modified: 17 Mar 2024 02:51
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Contributors
Author:
Siddharth Venkataraman
Author:
Romain Rumpler
Author:
Siv Leth
Author:
Martin Toward
Author:
Tohmmy Bustad
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