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Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions

During the Covid-19 outbreak, strict lockdown measures led to notable reductions in transportation-related emissions and significantly altered atmospheric pollution characteristics in urban and suburban areas. In this work, we compare comprehensive online measurements of PM(2.5) major components and...

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Autores principales: Wang, Shan, Wang, Qiongqiong, Zhu, Shuhui, Zhou, Min, Qiao, Liping, Huang, Dandan, Ma, Yingge, Lu, Yiqun, Huang, Cheng, Fu, Qingyan, Duan, Yusen, Yu, Jian Zhen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359772/
https://www.ncbi.nlm.nih.gov/pubmed/35967886
http://dx.doi.org/10.1016/j.atmosenv.2022.119308
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author Wang, Shan
Wang, Qiongqiong
Zhu, Shuhui
Zhou, Min
Qiao, Liping
Huang, Dandan
Ma, Yingge
Lu, Yiqun
Huang, Cheng
Fu, Qingyan
Duan, Yusen
Yu, Jian Zhen
author_facet Wang, Shan
Wang, Qiongqiong
Zhu, Shuhui
Zhou, Min
Qiao, Liping
Huang, Dandan
Ma, Yingge
Lu, Yiqun
Huang, Cheng
Fu, Qingyan
Duan, Yusen
Yu, Jian Zhen
author_sort Wang, Shan
collection PubMed
description During the Covid-19 outbreak, strict lockdown measures led to notable reductions in transportation-related emissions and significantly altered atmospheric pollution characteristics in urban and suburban areas. In this work, we compare comprehensive online measurements of PM(2.5) major components and organic molecular markers in a suburban location in Shanghai, China before lockdown (Dec. 28, 2019 to Jan. 23, 2020) and during lockdown (Jan. 24 to Feb. 9, 2020). The NO(x) levels declined sharply by 59% from 44 to 18 ppb during the lockdown, while O(3) rose two times higher to 42 ppb. The PM(2.5) level dropped from 64 to 49 μg m(−3) (−24%). The major components all showed reductions, with the reduction of nitrate most prominent at −58%, followed by organics at −19%, and sulfate at −17%. Positive matrix factorization analysis identifies fourteen source factors, including nine primary sources and five secondary sources. The secondary sources consist of sulfate-rich factor, nitrate-rich factor, and three secondary organic aerosol (SOA) factors, with SOA_I being anthropogenic SOA, SOA_II associated with later generation products of organic oxidation, and SOA_III being biogenic SOA. The combined secondary sources contributed to 69% and 63% (40 and 22 μg m(−3)) of PM(2.5) before and during lockdown, respectively, among which the reductions in the nitrate-rich (−55%) factor was the most prominent. Among primary sources, large reductions (>80%) were observed in contributions from industrial, cooking, and vehicle emissions. Unlike some studies reporting that the restriction during the Covid-19 resulted in enhanced secondary sulfate and SOA formation, we observed decreases in both secondary inorganic and SOA formation despite the overall elevated oxidizing capacity in the suburban site. Our results indicate that the formation change in secondary inorganic and organic compounds in response to substantial reductions in urban primary precursors are different for urban and suburban environments.
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spelling pubmed-93597722022-08-09 Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions Wang, Shan Wang, Qiongqiong Zhu, Shuhui Zhou, Min Qiao, Liping Huang, Dandan Ma, Yingge Lu, Yiqun Huang, Cheng Fu, Qingyan Duan, Yusen Yu, Jian Zhen Atmos Environ (1994) Article During the Covid-19 outbreak, strict lockdown measures led to notable reductions in transportation-related emissions and significantly altered atmospheric pollution characteristics in urban and suburban areas. In this work, we compare comprehensive online measurements of PM(2.5) major components and organic molecular markers in a suburban location in Shanghai, China before lockdown (Dec. 28, 2019 to Jan. 23, 2020) and during lockdown (Jan. 24 to Feb. 9, 2020). The NO(x) levels declined sharply by 59% from 44 to 18 ppb during the lockdown, while O(3) rose two times higher to 42 ppb. The PM(2.5) level dropped from 64 to 49 μg m(−3) (−24%). The major components all showed reductions, with the reduction of nitrate most prominent at −58%, followed by organics at −19%, and sulfate at −17%. Positive matrix factorization analysis identifies fourteen source factors, including nine primary sources and five secondary sources. The secondary sources consist of sulfate-rich factor, nitrate-rich factor, and three secondary organic aerosol (SOA) factors, with SOA_I being anthropogenic SOA, SOA_II associated with later generation products of organic oxidation, and SOA_III being biogenic SOA. The combined secondary sources contributed to 69% and 63% (40 and 22 μg m(−3)) of PM(2.5) before and during lockdown, respectively, among which the reductions in the nitrate-rich (−55%) factor was the most prominent. Among primary sources, large reductions (>80%) were observed in contributions from industrial, cooking, and vehicle emissions. Unlike some studies reporting that the restriction during the Covid-19 resulted in enhanced secondary sulfate and SOA formation, we observed decreases in both secondary inorganic and SOA formation despite the overall elevated oxidizing capacity in the suburban site. Our results indicate that the formation change in secondary inorganic and organic compounds in response to substantial reductions in urban primary precursors are different for urban and suburban environments. Elsevier Ltd. 2022-11-15 2022-08-08 /pmc/articles/PMC9359772/ /pubmed/35967886 http://dx.doi.org/10.1016/j.atmosenv.2022.119308 Text en © 2022 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
Wang, Shan
Wang, Qiongqiong
Zhu, Shuhui
Zhou, Min
Qiao, Liping
Huang, Dandan
Ma, Yingge
Lu, Yiqun
Huang, Cheng
Fu, Qingyan
Duan, Yusen
Yu, Jian Zhen
Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
title Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
title_full Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
title_fullStr Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
title_full_unstemmed Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
title_short Hourly organic tracers-based source apportionment of PM(2.5) before and during the Covid-19 lockdown in suburban Shanghai, China: Insights into regional transport influences and response to urban emission reductions
title_sort hourly organic tracers-based source apportionment of pm(2.5) before and during the covid-19 lockdown in suburban shanghai, china: insights into regional transport influences and response to urban emission reductions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9359772/
https://www.ncbi.nlm.nih.gov/pubmed/35967886
http://dx.doi.org/10.1016/j.atmosenv.2022.119308
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