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[Variations in PM2.5 Composition and Sources During 2020-2021 COVID-19 Epidemic Periods in Nanjing].
Hua, Nan; Shang, Yue; Xie, Ming-Jie.
  • Hua N; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science & Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
  • Shang Y; Shangqiu Meteorological Bureau, Shangqiu 476000, China.
  • Xie MJ; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science & Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Huan Jing Ke Xue ; 44(2): 593-601, 2023 Feb 08.
Article in Chinese | MEDLINE | ID: covidwho-2263407
ABSTRACT
To understand the changes in chemical composition and sources of PM2.5 under the extreme reduction background during the COVID-19 epidemic periods in Nanjing, hourly observation results of PM2.5 components (water-soluble inorganic ions, carbonaceous components, and inorganic elements) of two epidemic events from January to March 2020 and June to August 2021 were analyzed. In comparison to that during pre-epidemic periods, the concentration of NO3- during the two epidemic control periods decreased by 52.9% and 43.0%, respectively, which was larger than the decreases in NH4+(46.4% and 31.6%) and SO42-(33.8% and 16.5%). Since the observation site was located close to a main road, the decrease in elemental carbon (EC, 35.4% and 20.6%) was higher than that in organic carbon (OC, 11.1% and 16.2%). In reference to the variations in the characteristic ratios of the bulk components mentioned above, the epidemic control showed a more substantial influence on traffic emissions than industrial activities. The concentration time series of PM2.5 major components over the epidemic periods indicated that NOx from local traffic emissions had substantial contributions to the formation of NO3-, which led to local short-term PM2.5 pollution. In addition, the positive matrix factorization (PMF) model was used to analyze the hourly observation data of PM2.5 components. The seven identified factors were linked with metallurgy, firework and firecracker combustions, road traffic emissions, coal combustion, dust resuspension, secondary sulfate, and secondary nitrate. Because the nitrate was unstable under high temperature, the contribution of secondary nitrate to PM2.5 during the epidemic control period of 2021 (summer, 21.2%) was much lower than that during the epidemic control period of 2020 (winter, 60.6%); however, the formation of secondary components always dominated the contribution of PM2.5 sources. Therefore, emissions of NOx and SO2 should be further controlled to continuously reduce ambient PM2.5 concentrations in Chinese cities.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: Chinese Journal: Huan Jing Ke Xue Year: 2023 Document Type: Article Affiliation country: J.hjkx.202204103

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Language: Chinese Journal: Huan Jing Ke Xue Year: 2023 Document Type: Article Affiliation country: J.hjkx.202204103