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Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height
To increase our knowledge of PM(2.5) concentrations near the surface in a forest park in Beijing, an observational study measured the concentration and composition of PM(2.5) in Beijing Olympic Forest Park from 2014 to 2015. This study analyzed the meteorological factors and removal efficiency at 1....
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211407/ https://www.ncbi.nlm.nih.gov/pubmed/32419985 http://dx.doi.org/10.7717/peerj.8988 |
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author | Yan, Guoxin Yu, Zibo Wu, Yanan Liu, Jiakai Wang, Yu Zhai, Jiexiu Cong, Ling Zhang, Zhenming |
author_facet | Yan, Guoxin Yu, Zibo Wu, Yanan Liu, Jiakai Wang, Yu Zhai, Jiexiu Cong, Ling Zhang, Zhenming |
author_sort | Yan, Guoxin |
collection | PubMed |
description | To increase our knowledge of PM(2.5) concentrations near the surface in a forest park in Beijing, an observational study measured the concentration and composition of PM(2.5) in Beijing Olympic Forest Park from 2014 to 2015. This study analyzed the meteorological factors and removal efficiency at 1.5 m above the ground (human breathing height) over the day in the forest. The results showed that the average concentrations of PM(2.5) near the surface peaked at 07:00–09:30 and reached their lowest at 12:00–15:00. Besides, the results showed that the annual concentration of PM(2.5) in the forest was highest during winter, followed by spring and fall, and was lowest during summer. The main chemical components of PM(2.5) near the surface in the forest were SO(4)(2−) and NO(3)(−), which accounted for 68.72% of all water-soluble ions that we observed. The concentration of PM(2.5) in the forest had a significant positive correlation with relative humidity and a significant negative correlation with temperature. The removal efficiency near the surface showed no significant variation through the day or year. In the forest, the highest removal efficiency occurred between 07:00 and 09:30 in summer, while the lowest occurred between 09:30 and 12:00 in winter. |
format | Online Article Text |
id | pubmed-7211407 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-72114072020-05-15 Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height Yan, Guoxin Yu, Zibo Wu, Yanan Liu, Jiakai Wang, Yu Zhai, Jiexiu Cong, Ling Zhang, Zhenming PeerJ Atmospheric Chemistry To increase our knowledge of PM(2.5) concentrations near the surface in a forest park in Beijing, an observational study measured the concentration and composition of PM(2.5) in Beijing Olympic Forest Park from 2014 to 2015. This study analyzed the meteorological factors and removal efficiency at 1.5 m above the ground (human breathing height) over the day in the forest. The results showed that the average concentrations of PM(2.5) near the surface peaked at 07:00–09:30 and reached their lowest at 12:00–15:00. Besides, the results showed that the annual concentration of PM(2.5) in the forest was highest during winter, followed by spring and fall, and was lowest during summer. The main chemical components of PM(2.5) near the surface in the forest were SO(4)(2−) and NO(3)(−), which accounted for 68.72% of all water-soluble ions that we observed. The concentration of PM(2.5) in the forest had a significant positive correlation with relative humidity and a significant negative correlation with temperature. The removal efficiency near the surface showed no significant variation through the day or year. In the forest, the highest removal efficiency occurred between 07:00 and 09:30 in summer, while the lowest occurred between 09:30 and 12:00 in winter. PeerJ Inc. 2020-05-07 /pmc/articles/PMC7211407/ /pubmed/32419985 http://dx.doi.org/10.7717/peerj.8988 Text en ©2020 Yan et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Atmospheric Chemistry Yan, Guoxin Yu, Zibo Wu, Yanan Liu, Jiakai Wang, Yu Zhai, Jiexiu Cong, Ling Zhang, Zhenming Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height |
title | Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height |
title_full | Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height |
title_fullStr | Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height |
title_full_unstemmed | Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height |
title_short | Understanding PM(2.5) concentration and removal efficiency variation in urban forest park—Observation at human breathing height |
title_sort | understanding pm(2.5) concentration and removal efficiency variation in urban forest park—observation at human breathing height |
topic | Atmospheric Chemistry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7211407/ https://www.ncbi.nlm.nih.gov/pubmed/32419985 http://dx.doi.org/10.7717/peerj.8988 |
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