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Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity

Author

Listed:
  • Sunghee Cho

    (Transportation Environmental Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea
    Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Korea
    These authors contributed equally to this paper.)

  • Gahye Lee

    (Transportation Environmental Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea
    Department of Environmental Science and Engineering, Kyung Hee University, Yongin 17104, Korea
    These authors contributed equally to this paper.)

  • Duckshin Park

    (Transportation Environmental Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

  • Minjeong Kim

    (Transportation Environmental Research Team, Korea Railroad Research Institute, Uiwang 16105, Korea)

Abstract

Resuspension of particulate matter (PM) in classrooms, which increases the risk of negative impact on student health from exposure to PM, is influenced by humidity level in the indoor environment. The goal of this study is to investigate the properties of PM resuspension in accordance with relative humidity through classroom test chamber experiments. In actual classrooms, it is challenging to control factors influencing resuspension. Therefore, the classroom chamber that reflects the environment of elementary school classroom (e.g., structure, floor material) is used in this study. The humidity of the classroom chamber is adjusted to 35%, 55%, 75%, and 85% by placing it inside a real-size environmental chamber, which allows artificial control of climatic conditions. At the respective humidity conditions, PM resuspension concentration and resuspension factor caused by occupant walking across the classroom chamber are analyzed. The results show that both of the resuspension concentration and resuspension factor reveal a linear negative correlation to humidity increase. Furthermore, coefficient of determination (R 2 ) indicating goodness-of-fit of the linear regression model between the resuspension concentration and humidity is 0.88 for PM 10 and 0.93 for PM 2.5 . It implies that accuracy of the regression model for estimating PM 10 and PM 2.5 resuspension concentrations is 88% and 93%, respectively.

Suggested Citation

  • Sunghee Cho & Gahye Lee & Duckshin Park & Minjeong Kim, 2021. "Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity," IJERPH, MDPI, vol. 18(6), pages 1-14, March.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:2856-:d:514955
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    Citations

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    Cited by:

    1. Bo-Kook Jang & Kyungtae Park & Sang Yeob Lee & Hamin Lee & Soo Ho Yeon & Boran Ji & Cheol Hee Lee & Ju-Sung Cho, 2021. "Screening of Particulate Matter Reduction Ability of 21 Indigenous Korean Evergreen Species for Indoor Use," IJERPH, MDPI, vol. 18(18), pages 1-10, September.
    2. Patrycja Rogula-Kopiec & Wioletta Rogula-Kozłowska & Grzegorz Majewski, 2022. "Particulate Matter Concentration in Selected Facilities as an Indicator of Exposure to Their Service Activities," IJERPH, MDPI, vol. 19(16), pages 1-18, August.

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