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Spatial Distribution of Fine Particulate Matter in Underground Passageways

The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the...

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Autores principales: Song, Xin-Yi, Lu, Qing-Chang, Peng, Zhong-Ren
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121543/
https://www.ncbi.nlm.nih.gov/pubmed/30044418
http://dx.doi.org/10.3390/ijerph15081574
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author Song, Xin-Yi
Lu, Qing-Chang
Peng, Zhong-Ren
author_facet Song, Xin-Yi
Lu, Qing-Chang
Peng, Zhong-Ren
author_sort Song, Xin-Yi
collection PubMed
description The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the pollution in pedestrian passageways connecting underground structures. Hence, in this paper, we attempted to investigate the spatial distribution of fine particulate matter (PM(2.5)) in underground passageways. First, measurements were designed and conducted in a pedestrian passageway beneath the Shanghai South Railway Station, Shanghai, China. Second, numerical simulations were performed based on computational fluid dynamic (CFD) technology. Finally, the numerical simulations were extended to examine impacts of the ventilation measures on PM(2.5) concentration with different inlet positions and air velocity in underground passageways. The simulation results showed good agreement with the experimental data, and the numerical model was validated to be an effective method to investigate the spatial distribution of PM(2.5) in underground passageways. Results suggest that building additional entrances is an advisable method for improving air quality in the underground passageways of the Shanghai South Railway Station, while jet fans are not recommended. Findings of this study offer suggestions for mitigating PM(2.5) pollution in underground passageways.
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spelling pubmed-61215432018-09-07 Spatial Distribution of Fine Particulate Matter in Underground Passageways Song, Xin-Yi Lu, Qing-Chang Peng, Zhong-Ren Int J Environ Res Public Health Article The unfavorable locations of underground infrastructures and poor ventilation facilities can result in the deterioration of enclosed air quality. Some researchers have studied air quality and ventilation measures in different types of underground buildings. However, few studies have investigated the pollution in pedestrian passageways connecting underground structures. Hence, in this paper, we attempted to investigate the spatial distribution of fine particulate matter (PM(2.5)) in underground passageways. First, measurements were designed and conducted in a pedestrian passageway beneath the Shanghai South Railway Station, Shanghai, China. Second, numerical simulations were performed based on computational fluid dynamic (CFD) technology. Finally, the numerical simulations were extended to examine impacts of the ventilation measures on PM(2.5) concentration with different inlet positions and air velocity in underground passageways. The simulation results showed good agreement with the experimental data, and the numerical model was validated to be an effective method to investigate the spatial distribution of PM(2.5) in underground passageways. Results suggest that building additional entrances is an advisable method for improving air quality in the underground passageways of the Shanghai South Railway Station, while jet fans are not recommended. Findings of this study offer suggestions for mitigating PM(2.5) pollution in underground passageways. MDPI 2018-07-25 2018-08 /pmc/articles/PMC6121543/ /pubmed/30044418 http://dx.doi.org/10.3390/ijerph15081574 Text en © 2018 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
Song, Xin-Yi
Lu, Qing-Chang
Peng, Zhong-Ren
Spatial Distribution of Fine Particulate Matter in Underground Passageways
title Spatial Distribution of Fine Particulate Matter in Underground Passageways
title_full Spatial Distribution of Fine Particulate Matter in Underground Passageways
title_fullStr Spatial Distribution of Fine Particulate Matter in Underground Passageways
title_full_unstemmed Spatial Distribution of Fine Particulate Matter in Underground Passageways
title_short Spatial Distribution of Fine Particulate Matter in Underground Passageways
title_sort spatial distribution of fine particulate matter in underground passageways
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6121543/
https://www.ncbi.nlm.nih.gov/pubmed/30044418
http://dx.doi.org/10.3390/ijerph15081574
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