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[Response of Air Quality to COVID-19 Lockdown in Xiamen Bay].
Xu, Chao; Wu, Shui-Ping; Liu, Yi-Jing; Zhong, Xue-Fen.
  • Xu C; College of Environment and Ecology, Xiamen University, Xiamen 361102, China.
  • Wu SP; Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen 361102, China.
  • Liu YJ; College of Environment and Ecology, Xiamen University, Xiamen 361102, China.
  • Zhong XF; Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, Xiamen 361102, China.
Huan Jing Ke Xue ; 42(10): 4650-4659, 2021 Oct 08.
Article in Chinese | MEDLINE | ID: covidwho-1441392
ABSTRACT
Air pollutant concentrations in the Xiamen Bay cities during the period before and after COVID-19 lockdown(from January 11 to February 21, 2020) were studied to determine the influence of human activities on air quality in this region. During the Chinese Spring Festival holiday and the lockdown period, the concentrations of SO2, NO2, CO, PM10, and PM2.5 decreased by 6%-22%, 53%-70%, 34%-48%, 47%-64%, and 53%-60%, respectively. However, the changes in O3 concentrations were not consistent with the variations of human activities. The reduction rates for PM2.5, PM10, CO, and NO2 during the Spring Festival were greater than in previous years(2018 and 2019), but the reduction rates for SO2 were comparable. The concentrations of NO2 increased sharply(38%-138%), and much higher those of SO2(2%-42%), after the resumption of socioeconomic activities, indicating the importance of traffic reductions due to the lockdown measures on NO2. Higher wind speeds and rainfall after the Spring Festival were also favorable for the decline of SO2, NO2, and PM. The spatio-temporal distributions of the six criterial pollutants in the Xiamen Bay city cluster were obtained based on the Inverse Distance Weight method. The variability in regions with high NO2 concentrations was strongly linked to traffic emissions, while spatial patterns for CO and SO2 changed little over the six-week study period. The concentrations of PM2.5 and PM10 increased notably in the region, linked to more construction activity, but changed comparatively little in regions with dense populations and traffic networks. O3 remained relatively stable but low-value regions corresponded to those regions with high NO2 concentrations, indicating the significant titration effect of NO2 on O3. These results provide valuable information that can inform O3 pollution reduction measures.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies Limits: Humans Language: Chinese Journal: Huan Jing Ke Xue Year: 2021 Document Type: Article Affiliation country: J.hjkx.202103009

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Air Pollutants / Air Pollution / COVID-19 Type of study: Experimental Studies Limits: Humans Language: Chinese Journal: Huan Jing Ke Xue Year: 2021 Document Type: Article Affiliation country: J.hjkx.202103009