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

Author

Listed:
  • Jin Yong Jeon

    (Department of Architectural Engineering, Hanyang University, Seoul 04763, Korea)

  • Joo Young Hong

    (School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore)

  • Sung Min Kim

    (Department of Architectural Engineering, Hanyang University, Seoul 04763, Korea)

  • Ki-Hyun Kim

    (Department of Civil and Environmental Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

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.

Suggested Citation

  • Jin Yong Jeon & Joo Young Hong & Sung Min Kim & Ki-Hyun Kim, 2018. "Noise Indicators for Size Distributions of Airborne Particles and Traffic Activities in Urban Areas," Sustainability, MDPI, vol. 10(12), pages 1-19, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4599-:d:188030
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    Citations

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    Cited by:

    1. Guillermo Rey Gozalo & Enrique Suárez & Alexandra L. Montenegro & Jorge P. Arenas & Juan Miguel Barrigón Morillas & David Montes González, 2020. "Noise Estimation Using Road and Urban Features," Sustainability, MDPI, vol. 12(21), pages 1-18, November.
    2. Zahra Nourmohammadi & Tanapon Lilasathapornkit & Mudabber Ashfaq & Ziyuan Gu & Meead Saberi, 2021. "Mapping Urban Environmental Performance with Emerging Data Sources: A Case of Urban Greenery and Traffic Noise in Sydney, Australia," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    3. Oliwia Pietrzak & Krystian Pietrzak, 2021. "The Economic Effects of Electromobility in Sustainable Urban Public Transport," Energies, MDPI, vol. 14(4), pages 1-28, February.
    4. Alicja Sołowczuk, 2021. "Effect of Traffic Calming in a Downtown District of Szczecin, Poland," Energies, MDPI, vol. 14(18), pages 1-21, September.

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