Cargando…
Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China()
To investigate the characteristics of particulate matter with an aerodynamic diameter less than 2.5 μm (PM(2.5)) and its chemical compositions in the Beijing-Tianjin-Hebei (BTH) region of China during the novel coronavirus disease (COVID-19) lockdown, the ground-based data of PM(2.5), trace gases, w...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748337/ https://www.ncbi.nlm.nih.gov/pubmed/35459482 http://dx.doi.org/10.1016/j.jes.2021.08.030 |
_version_ | 1784630999042228224 |
---|---|
author | Zhang, Xin Zhang, Zhongzhi Xiao, Zhisheng Tang, Guigang Li, Hong Gao, Rui Dao, Xu Wang, Yeyao Wang, Wenxing |
author_facet | Zhang, Xin Zhang, Zhongzhi Xiao, Zhisheng Tang, Guigang Li, Hong Gao, Rui Dao, Xu Wang, Yeyao Wang, Wenxing |
author_sort | Zhang, Xin |
collection | PubMed |
description | To investigate the characteristics of particulate matter with an aerodynamic diameter less than 2.5 μm (PM(2.5)) and its chemical compositions in the Beijing-Tianjin-Hebei (BTH) region of China during the novel coronavirus disease (COVID-19) lockdown, the ground-based data of PM(2.5), trace gases, water-soluble inorganic ions, and organic and elemental carbon were analyzed in three typical cities (Beijing, Tianjin, and Baoding) in the BTH region of China from 5-15 February 2020. The PM(2.5) source apportionment was established by combining the weather research and forecasting model and comprehensive air quality model with extensions (WRF-CAMx). The results showed that the maximum daily PM(2.5) concentration reached the heavy pollution level (>150 μg/m(3)) in the above three cities. The sum concentration of SO(4)(2−), NO(3)(−) and NH(4)(+) played a dominant position in PM(2.5) chemical compositions of Beijing, Tianjin, and Baoding; secondary transformation of gaseous pollutants contributed significantly to PM(2.5) generation, and the secondary transformation was enhanced as the increased PM(2.5) concentrations. The results of WRF-CAMx showed obviously inter-transport of PM(2.5) in the BTH region; the contribution of transportation source decreased significantly than previous reports in Beijing, Tianjin, and Baoding during the COVID-19 lockdown; but the contribution of industrial and residential emission sources increased significantly with the increase of PM(2.5) concentration, and industry emission sources contributed the most to PM(2.5) concentrations. Therefore, control policies should be devoted to reducing industrial emissions and regional joint control strategies to mitigate haze pollution. |
format | Online Article Text |
id | pubmed-8748337 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87483372022-01-11 Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() Zhang, Xin Zhang, Zhongzhi Xiao, Zhisheng Tang, Guigang Li, Hong Gao, Rui Dao, Xu Wang, Yeyao Wang, Wenxing J Environ Sci (China) Article To investigate the characteristics of particulate matter with an aerodynamic diameter less than 2.5 μm (PM(2.5)) and its chemical compositions in the Beijing-Tianjin-Hebei (BTH) region of China during the novel coronavirus disease (COVID-19) lockdown, the ground-based data of PM(2.5), trace gases, water-soluble inorganic ions, and organic and elemental carbon were analyzed in three typical cities (Beijing, Tianjin, and Baoding) in the BTH region of China from 5-15 February 2020. The PM(2.5) source apportionment was established by combining the weather research and forecasting model and comprehensive air quality model with extensions (WRF-CAMx). The results showed that the maximum daily PM(2.5) concentration reached the heavy pollution level (>150 μg/m(3)) in the above three cities. The sum concentration of SO(4)(2−), NO(3)(−) and NH(4)(+) played a dominant position in PM(2.5) chemical compositions of Beijing, Tianjin, and Baoding; secondary transformation of gaseous pollutants contributed significantly to PM(2.5) generation, and the secondary transformation was enhanced as the increased PM(2.5) concentrations. The results of WRF-CAMx showed obviously inter-transport of PM(2.5) in the BTH region; the contribution of transportation source decreased significantly than previous reports in Beijing, Tianjin, and Baoding during the COVID-19 lockdown; but the contribution of industrial and residential emission sources increased significantly with the increase of PM(2.5) concentration, and industry emission sources contributed the most to PM(2.5) concentrations. Therefore, control policies should be devoted to reducing industrial emissions and regional joint control strategies to mitigate haze pollution. The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. 2022-04 2021-08-23 /pmc/articles/PMC8748337/ /pubmed/35459482 http://dx.doi.org/10.1016/j.jes.2021.08.030 Text en © 2022 The Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. 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 Zhang, Xin Zhang, Zhongzhi Xiao, Zhisheng Tang, Guigang Li, Hong Gao, Rui Dao, Xu Wang, Yeyao Wang, Wenxing Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() |
title | Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() |
title_full | Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() |
title_fullStr | Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() |
title_full_unstemmed | Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() |
title_short | Heavy haze pollution during the COVID-19 lockdown in the Beijing-Tianjin-Hebei region, China() |
title_sort | heavy haze pollution during the covid-19 lockdown in the beijing-tianjin-hebei region, china() |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8748337/ https://www.ncbi.nlm.nih.gov/pubmed/35459482 http://dx.doi.org/10.1016/j.jes.2021.08.030 |
work_keys_str_mv | AT zhangxin heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT zhangzhongzhi heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT xiaozhisheng heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT tangguigang heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT lihong heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT gaorui heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT daoxu heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT wangyeyao heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina AT wangwenxing heavyhazepollutionduringthecovid19lockdowninthebeijingtianjinhebeiregionchina |