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Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic
The role of meteorological conditions has long been recognized in modulating regional air quality. The impact of near-surface turbulence, nevertheless, remains poorly understood. To curb the spread of COVID-19, a variety of lockdown measures were implemented, providing us an unprecedented opportunit...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580557/ https://www.ncbi.nlm.nih.gov/pubmed/34785980 http://dx.doi.org/10.1016/j.atmosenv.2021.118848 |
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author | Xia, Xin Zhang, Kui Yang, Rong Zhang, Yiwen Xu, Dongfu Bai, Kaixu Guo, Jianping |
author_facet | Xia, Xin Zhang, Kui Yang, Rong Zhang, Yiwen Xu, Dongfu Bai, Kaixu Guo, Jianping |
author_sort | Xia, Xin |
collection | PubMed |
description | The role of meteorological conditions has long been recognized in modulating regional air quality. The impact of near-surface turbulence, nevertheless, remains poorly understood. To curb the spread of COVID-19, a variety of lockdown measures were implemented, providing us an unprecedented opportunity to examine the joint impact of emission control and meteorology on regional air quality. Here we examined the variations of planetary boundary layer (PBL) height, PM(2.5) concentrations, turbulence kinetic energy (TKE), vertical wind shear, and their associations in Chengdu, Sichuan province in Southwest China between January 13 and February 24, 2020, by synergistically using micro pulse lidar, ground-level meteorological and PM(2.5) measurements, as well as ultrasonic anemometer observations. During the study period, Sichuan basin was primarily regulated by the straight west wind, with an averaged wind speed of 2–3 m/s at 850 hPa, indicative of a relatively stable atmospheric dispersion condition. TKE was positively correlated with PBL height but negatively correlated with PM(2.5). The PM(2.5) concentration varied dramatically during pre- and post-lockdown periods but remained near constant at a relatively low level during the lockdown period. Meanwhile, the negative correlation between TKE and PM(2.5) was much stronger during the lockdown and post-lockdown periods, when aerosol emissions were significantly reduced. Moreover, the correlation between TKE and PM(2.5) exhibited large diurnal variability, with the strongest correlation observed during the daytime when solar radiation and turbulent mixing generally reached their peaks. Overall, the observational results in Chengdu underscore the non-negligible impact of turbulence on regional PM(2.5) concentrations, which could help better understand the variation of regional air pollution events. |
format | Online Article Text |
id | pubmed-8580557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85805572021-11-12 Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic Xia, Xin Zhang, Kui Yang, Rong Zhang, Yiwen Xu, Dongfu Bai, Kaixu Guo, Jianping Atmos Environ (1994) Article The role of meteorological conditions has long been recognized in modulating regional air quality. The impact of near-surface turbulence, nevertheless, remains poorly understood. To curb the spread of COVID-19, a variety of lockdown measures were implemented, providing us an unprecedented opportunity to examine the joint impact of emission control and meteorology on regional air quality. Here we examined the variations of planetary boundary layer (PBL) height, PM(2.5) concentrations, turbulence kinetic energy (TKE), vertical wind shear, and their associations in Chengdu, Sichuan province in Southwest China between January 13 and February 24, 2020, by synergistically using micro pulse lidar, ground-level meteorological and PM(2.5) measurements, as well as ultrasonic anemometer observations. During the study period, Sichuan basin was primarily regulated by the straight west wind, with an averaged wind speed of 2–3 m/s at 850 hPa, indicative of a relatively stable atmospheric dispersion condition. TKE was positively correlated with PBL height but negatively correlated with PM(2.5). The PM(2.5) concentration varied dramatically during pre- and post-lockdown periods but remained near constant at a relatively low level during the lockdown period. Meanwhile, the negative correlation between TKE and PM(2.5) was much stronger during the lockdown and post-lockdown periods, when aerosol emissions were significantly reduced. Moreover, the correlation between TKE and PM(2.5) exhibited large diurnal variability, with the strongest correlation observed during the daytime when solar radiation and turbulent mixing generally reached their peaks. Overall, the observational results in Chengdu underscore the non-negligible impact of turbulence on regional PM(2.5) concentrations, which could help better understand the variation of regional air pollution events. Elsevier Ltd. 2022-01-01 2021-11-11 /pmc/articles/PMC8580557/ /pubmed/34785980 http://dx.doi.org/10.1016/j.atmosenv.2021.118848 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Xia, Xin Zhang, Kui Yang, Rong Zhang, Yiwen Xu, Dongfu Bai, Kaixu Guo, Jianping Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic |
title | Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic |
title_full | Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic |
title_fullStr | Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic |
title_full_unstemmed | Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic |
title_short | Impact of near-surface turbulence on PM(2.5) concentration in Chengdu during the COVID-19 pandemic |
title_sort | impact of near-surface turbulence on pm(2.5) concentration in chengdu during the covid-19 pandemic |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8580557/ https://www.ncbi.nlm.nih.gov/pubmed/34785980 http://dx.doi.org/10.1016/j.atmosenv.2021.118848 |
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