Cargando…

Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19

Under the clean air action plans and the lockdown to constrain the coronavirus disease 2019 (COVID-19), the air quality improved significantly. However, fine particulate matter (PM(2.5)) pollution still occurred on the North China Plain (NCP). This study analyzed the variations of PM(2.5), nitrogen...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Shuang, Yang, Xingchuan, Duan, Fuzhou, Zhao, Wenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566441/
https://www.ncbi.nlm.nih.gov/pubmed/36232204
http://dx.doi.org/10.3390/ijerph191912904
_version_ 1784809152193757184
author Liu, Shuang
Yang, Xingchuan
Duan, Fuzhou
Zhao, Wenji
author_facet Liu, Shuang
Yang, Xingchuan
Duan, Fuzhou
Zhao, Wenji
author_sort Liu, Shuang
collection PubMed
description Under the clean air action plans and the lockdown to constrain the coronavirus disease 2019 (COVID-19), the air quality improved significantly. However, fine particulate matter (PM(2.5)) pollution still occurred on the North China Plain (NCP). This study analyzed the variations of PM(2.5), nitrogen dioxide (NO(2)), sulfur dioxide (SO(2)), carbon monoxide (CO), and ozone (O(3)) during 2017–2021 on the northern (Beijing) and southern (Henan) edges of the NCP. Furthermore, the drivers for the PM(2.5) pollution episodes pre- to post-COVID-19 in Beijing and Henan were explored by combining air pollutant and meteorological datasets and the weighted potential source contribution function. Results showed air quality generally improved during 2017–2021, except for a slight rebound (3.6%) in NO(2) concentration in 2021 in Beijing. Notably, the O(3) concentration began to decrease significantly in 2020. The COVID-19 lockdown resulted in a sharp drop in the concentrations of PM(2.5), NO(2), SO(2), and CO in February of 2020, but PM(2.5) and CO in Beijing exhibited a delayed decrease in March. For Beijing, the PM(2.5) pollution was driven by the initial regional transport and later secondary formation under adverse meteorology. For Henan, the PM(2.5) pollution was driven by the primary emissions under the persistent high humidity and stable atmospheric conditions, superimposing small-scale regional transport. Low wind speed, shallow boundary layer, and high humidity are major drivers of heavy PM(2.5) pollution. These results provide an important reference for setting mitigation measures not only for the NCP but for the entire world.
format Online
Article
Text
id pubmed-9566441
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-95664412022-10-15 Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19 Liu, Shuang Yang, Xingchuan Duan, Fuzhou Zhao, Wenji Int J Environ Res Public Health Article Under the clean air action plans and the lockdown to constrain the coronavirus disease 2019 (COVID-19), the air quality improved significantly. However, fine particulate matter (PM(2.5)) pollution still occurred on the North China Plain (NCP). This study analyzed the variations of PM(2.5), nitrogen dioxide (NO(2)), sulfur dioxide (SO(2)), carbon monoxide (CO), and ozone (O(3)) during 2017–2021 on the northern (Beijing) and southern (Henan) edges of the NCP. Furthermore, the drivers for the PM(2.5) pollution episodes pre- to post-COVID-19 in Beijing and Henan were explored by combining air pollutant and meteorological datasets and the weighted potential source contribution function. Results showed air quality generally improved during 2017–2021, except for a slight rebound (3.6%) in NO(2) concentration in 2021 in Beijing. Notably, the O(3) concentration began to decrease significantly in 2020. The COVID-19 lockdown resulted in a sharp drop in the concentrations of PM(2.5), NO(2), SO(2), and CO in February of 2020, but PM(2.5) and CO in Beijing exhibited a delayed decrease in March. For Beijing, the PM(2.5) pollution was driven by the initial regional transport and later secondary formation under adverse meteorology. For Henan, the PM(2.5) pollution was driven by the primary emissions under the persistent high humidity and stable atmospheric conditions, superimposing small-scale regional transport. Low wind speed, shallow boundary layer, and high humidity are major drivers of heavy PM(2.5) pollution. These results provide an important reference for setting mitigation measures not only for the NCP but for the entire world. MDPI 2022-10-08 /pmc/articles/PMC9566441/ /pubmed/36232204 http://dx.doi.org/10.3390/ijerph191912904 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Shuang
Yang, Xingchuan
Duan, Fuzhou
Zhao, Wenji
Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19
title Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19
title_full Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19
title_fullStr Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19
title_full_unstemmed Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19
title_short Changes in Air Quality and Drivers for the Heavy PM(2.5) Pollution on the North China Plain Pre- to Post-COVID-19
title_sort changes in air quality and drivers for the heavy pm(2.5) pollution on the north china plain pre- to post-covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9566441/
https://www.ncbi.nlm.nih.gov/pubmed/36232204
http://dx.doi.org/10.3390/ijerph191912904
work_keys_str_mv AT liushuang changesinairqualityanddriversfortheheavypm25pollutiononthenorthchinaplainpretopostcovid19
AT yangxingchuan changesinairqualityanddriversfortheheavypm25pollutiononthenorthchinaplainpretopostcovid19
AT duanfuzhou changesinairqualityanddriversfortheheavypm25pollutiononthenorthchinaplainpretopostcovid19
AT zhaowenji changesinairqualityanddriversfortheheavypm25pollutiononthenorthchinaplainpretopostcovid19