The relation between particle number concentration and high frequency sound level of traffic noise

Relation between particle number concentration (PNC) and traffic conditions were investigated through field measurements and statistical analysis. Traffic data for 24 hours in an urban area where close to three traffic roads, and the particle number concentration were measured within 0.3 to 10 μm. T...

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Main Authors: Kim, Sung Min, Hong, Joo Young, Jeon, Jin Yong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference or Workshop Item
Language:English
Published: 2019
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Online Access:https://hdl.handle.net/10356/82837
http://hdl.handle.net/10220/49474
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-828372019-12-06T15:06:36Z The relation between particle number concentration and high frequency sound level of traffic noise Kim, Sung Min Hong, Joo Young Jeon, Jin Yong School of Electrical and Electronic Engineering 46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017) Traffic Data Environmental Noise Engineering::Electrical and electronic engineering Relation between particle number concentration (PNC) and traffic conditions were investigated through field measurements and statistical analysis. Traffic data for 24 hours in an urban area where close to three traffic roads, and the particle number concentration were measured within 0.3 to 10 μm. The results show that traffic speed and noise level of traffic have negative correlation in low frequency band, and relationship between traffic volume and traffic noise has negative correlation in mid frequency. In addition, the correlation between particles and traffic noise indicates that high frequency sound increase the concentration of particles road side area. Especially correlation between LAeq and PNC size range from 0.3 - 1.0 μm shows positive relationship with percentile noise indicators. The findings of this study suggest that information of the particle distribution with the noise can be used as important indicators to predict air and noise pollution of urban areas. Published version 2019-07-26T06:19:48Z 2019-12-06T15:06:36Z 2019-07-26T06:19:48Z 2019-12-06T15:06:36Z 2017-08-01 2017 Conference Paper Kim, S. M., Hong, J. Y., & Jeon, J. Y. (2017). The relation between particle number concentration and high frequency sound level of traffic noise. 46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017). https://hdl.handle.net/10356/82837 http://hdl.handle.net/10220/49474 211467 en © 2017 The Author(s). All rights reserved. This paper was published in 46th International Congress and Exposition on Noise Control Engineering (INTER-NOISE 2017) and is made available with permission of The Author(s). 5 p. application/pdf
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic Traffic Data
Environmental Noise
Engineering::Electrical and electronic engineering
spellingShingle Traffic Data
Environmental Noise
Engineering::Electrical and electronic engineering
Kim, Sung Min
Hong, Joo Young
Jeon, Jin Yong
The relation between particle number concentration and high frequency sound level of traffic noise
description Relation between particle number concentration (PNC) and traffic conditions were investigated through field measurements and statistical analysis. Traffic data for 24 hours in an urban area where close to three traffic roads, and the particle number concentration were measured within 0.3 to 10 μm. The results show that traffic speed and noise level of traffic have negative correlation in low frequency band, and relationship between traffic volume and traffic noise has negative correlation in mid frequency. In addition, the correlation between particles and traffic noise indicates that high frequency sound increase the concentration of particles road side area. Especially correlation between LAeq and PNC size range from 0.3 - 1.0 μm shows positive relationship with percentile noise indicators. The findings of this study suggest that information of the particle distribution with the noise can be used as important indicators to predict air and noise pollution of urban areas.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Kim, Sung Min
Hong, Joo Young
Jeon, Jin Yong
format Conference or Workshop Item
author Kim, Sung Min
Hong, Joo Young
Jeon, Jin Yong
author_sort Kim, Sung Min
title The relation between particle number concentration and high frequency sound level of traffic noise
title_short The relation between particle number concentration and high frequency sound level of traffic noise
title_full The relation between particle number concentration and high frequency sound level of traffic noise
title_fullStr The relation between particle number concentration and high frequency sound level of traffic noise
title_full_unstemmed The relation between particle number concentration and high frequency sound level of traffic noise
title_sort relation between particle number concentration and high frequency sound level of traffic noise
publishDate 2019
url https://hdl.handle.net/10356/82837
http://hdl.handle.net/10220/49474
_version_ 1681047518933155840