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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6121543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT songxinyi spatialdistributionoffineparticulatematterinundergroundpassageways AT luqingchang spatialdistributionoffineparticulatematterinundergroundpassageways AT pengzhongren spatialdistributionoffineparticulatematterinundergroundpassageways |