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Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity
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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000034/ https://www.ncbi.nlm.nih.gov/pubmed/33799654 http://dx.doi.org/10.3390/ijerph18062856 |
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author | Cho, Sunghee Lee, Gahye Park, Duckshin Kim, Minjeong |
author_facet | Cho, Sunghee Lee, Gahye Park, Duckshin Kim, Minjeong |
author_sort | Cho, Sunghee |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8000034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80000342021-03-28 Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity Cho, Sunghee Lee, Gahye Park, Duckshin Kim, Minjeong Int J Environ Res Public Health Article 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. MDPI 2021-03-11 /pmc/articles/PMC8000034/ /pubmed/33799654 http://dx.doi.org/10.3390/ijerph18062856 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cho, Sunghee Lee, Gahye Park, Duckshin Kim, Minjeong Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity |
title | Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity |
title_full | Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity |
title_fullStr | Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity |
title_full_unstemmed | Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity |
title_short | Study on Characteristics of Particulate Matter Resuspension in School Classroom through Experiments Using a Simulation Chamber: Influence of Humidity |
title_sort | study on characteristics of particulate matter resuspension in school classroom through experiments using a simulation chamber: influence of humidity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8000034/ https://www.ncbi.nlm.nih.gov/pubmed/33799654 http://dx.doi.org/10.3390/ijerph18062856 |
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