Some insights into the relationship between urban air pollution and noise levels

Kim, Ki‐Hyun; Ho, Duy Xuan; Brown, Richard; Oh, Jong‐Min; Park, Chan Goo; Ryu, In Cheol

doi:10.1016/j.scitotenv.2012.02.066

Cited by 35 publications

(10 citation statements)

References 32 publications

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“…It was observed that the temporal patterns of noise, traffic, and PNC varied depending on the time of day or night. This finding was in good agreement with the results of previous studies in which there are significant differences of noise and air pollutants between day and night [40,42]. Interestingly, the relationship between the noise parameters and PNC also differed according to the particle size.…”

Section: Discussionsupporting

confidence: 92%

Noise Indicators for Size Distributions of Airborne Particles and Traffic Activities in Urban Areas

et al. 2018

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The aim of this study was to explore the relationships among the particle number concentration (PNC), noise, and traffic conditions. Field measurements were conducted to measure the temporal variabilities of the noise levels and PNC over 24 h in a location adjacent to three main traffic roads in Seoul, Korea. The PNC was measured in the range of 0.3 to 10 µm. The noise data was measured by utilizing both the overall levels and spectral characteristics. Traffic data including volumes and speeds of vehicles on the roads were also collected. The results showed that the correlations among the three key parameters varied depending on changes in the noise frequency and particle size. The noise levels at 100–200 Hz were positively correlated with traffic volume and submicron particles. In contrast, they exhibited inverse correlations with the traffic speed and the number of larger particles (>2.5 µm). Compared to noise levels at 100–200 Hz, noise levels at 1–2 kHz exhibited reverse relationships between the traffic and PNC. Submicron particles (0.3–1.0 µm) tended to be more strongly associated with noise levels during the daytime, while those greater than 2.5 µm maintained relatively stable correlations with the noise throughout the day. The findings address the importance of temporal and spectral-specific monitoring of air and noise pollutants for a better understanding of the exposure of the community to air and noise pollution.

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Section: Discussionsupporting

confidence: 92%

Noise Indicators for Size Distributions of Airborne Particles and Traffic Activities in Urban Areas

et al. 2018

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“…Most have investigated the correlation between traffic-related noise and air pollution, focusing on gaseous pollutants, principally NO 2 and NO (Klaeboe et al, 2000;Linares et al, 2006;Foraster et al, 2011;Ross et al, 2011;Kim et al, 2012), PM 10 (Linares et al, 2006;Fung and Lee, 2011;Kim et al, 2012), PM 2.5 (Ross et al, 2011) and hydrocarbons (Ross et al, 2011;Kim et al, 2012). Some studies have focused on the correlation between noise and total number concentrations (TNC).…”

Section: Introductionmentioning

confidence: 99%

Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques

Fernández-Camacho

Cabeza

Aroba

et al. 2015

Science of The Total Environment

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“…It has been reported that traffic noise levels had temporal variations, hourly and daily, in association with traffic volume (Kim et al 2012). We selected 90 locations from the old city area for collecting data related to noise, traffic and land uses.…”

Section: Data Collectionmentioning

confidence: 99%

Who is the bigger culprit? Studying impacts of traffic and land use on noise levels in CBD area of Karachi, Pakistan

Mehdi

Arsalan

Gazder

et al. 2017

Environ Dev Sustain

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Some insights into the relationship between urban air pollution and noise levels

Cited by 35 publications

References 32 publications

Noise Indicators for Size Distributions of Airborne Particles and Traffic Activities in Urban Areas

Noise Indicators for Size Distributions of Airborne Particles and Traffic Activities in Urban Areas

Assessment of ultrafine particles and noise measurements using fuzzy logic and data mining techniques

Who is the bigger culprit? Studying impacts of traffic and land use on noise levels in CBD area of Karachi, Pakistan

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