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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.
  • Zhang X; Environment Research Institute, Shandong University, Qingdao 266237, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Zhang Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Xiao Z; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Tang G; China National Environmental Monitoring Centre, Beijing 100012, China.
  • Li H; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
  • Gao R; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address: gaorui@craes.org.cn.
  • Dao X; China National Environmental Monitoring Centre, Beijing 100012, China. Electronic address: daoxu@cnemc.cn.
  • Wang Y; China National Environmental Monitoring Centre, Beijing 100012, China.
  • Wang W; Environment Research Institute, Shandong University, Qingdao 266237, China; State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
J Environ Sci (China) ; 114: 170-178, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-2180480
ABSTRACT
To investigate the characteristics of particulate matter with an aerodynamic diameter less than 2.5 µm (PM2.5) 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 PM2.5, 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 PM2.5 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 PM2.5 concentration reached the heavy pollution level (>150 µg/m3) in the above three cities. The sum concentration of SO42-, NO3- and NH4+ played a dominant position in PM2.5 chemical compositions of Beijing, Tianjin, and Baoding; secondary transformation of gaseous pollutants contributed significantly to PM2.5 generation, and the secondary transformation was enhanced as the increased PM2.5 concentrations. The results of WRF-CAMx showed obviously inter-transport of PM2.5 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 PM2.5 concentration, and industry emission sources contributed the most to PM2.5 concentrations. Therefore, control policies should be devoted to reducing industrial emissions and regional joint control strategies to mitigate haze pollution.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Environ Sci (China) Journal subject: Environmental Health Year: 2022 Document Type: Article Affiliation country: J.jes.2021.08.030

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Observational study Limits: Humans Country/Region as subject: Asia Language: English Journal: J Environ Sci (China) Journal subject: Environmental Health Year: 2022 Document Type: Article Affiliation country: J.jes.2021.08.030