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Ozone pollution mitigation in guangxi (south China) driven by meteorology and anthropogenic emissions during the COVID-19 lockdown.
Fu, Shuang; Guo, Meixiu; Fan, Linping; Deng, Qiyin; Han, Deming; Wei, Ye; Luo, Jinmin; Qin, Guimei; Cheng, Jinping.
  • Fu S; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Guo M; Beihai Ecology and Environment Agency, Beihai, Guangxi, 536000, China.
  • Fan L; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Deng Q; College of Environment, Hohai University, Nanjing, Jiangsu, 210098, China.
  • Han D; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Wei Y; Beihai Ecology and Environment Agency, Beihai, Guangxi, 536000, China.
  • Luo J; Beihai Ecology and Environment Agency, Beihai, Guangxi, 536000, China.
  • Qin G; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Cheng J; School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China. Electronic address: jpcheng@sjtu.edu.cn.
Environ Pollut ; 272: 115927, 2021 Mar 01.
Article in English | MEDLINE | ID: covidwho-893762
ABSTRACT
With the implementation of COVID-19 restrictions and consequent improvement in air quality due to the nationwide lockdown, ozone (O3) pollution was generally amplified in China. However, the O3 levels throughout the Guangxi region of South China showed a clear downward trend during the lockdown. To better understand this unusual phenomenon, we investigated the characteristics of conventional pollutants, the influence of meteorological and anthropogenic factors quantified by a multiple linear regression (MLR) model, and the impact of local sources and long-range transport based on a continuous emission monitoring system (CEMS) and the HYSPLIT model. Results show that in Guangxi, the conventional pollutants generally declined during the COVID-19 lockdown period (January 24 to February 9, 2020) compared with their concentrations during 2016-2019, while O3 gradually increased during the resumption (10 February to April 2020) and full operation periods (May and June 2020). Focusing on Beihai, a typical Guangxi region city, the correlations between the daily O3 concentrations and six meteorological parameters (wind speed, visibility, temperature, humidity, precipitation, and atmospheric pressure) and their corresponding regression coefficients indicate that meteorological conditions were generally conducive to O3 pollution mitigation during the lockdown. A 7.84 µg/m3 drop in O3 concentration was driven by meteorology, with other decreases (4.11 µg/m3) explained by reduced anthropogenic emissions of O3 precursors. Taken together, the lower NO2/SO2 ratios (1.25-2.33) and consistencies between real-time monitored primary emissions and ambient concentrations suggest that, with the closure of small-scale industries, residual industrial emissions have become dominant contributors to local primary pollutants. Backward trajectory cluster analyses show that the slump of O3 concentrations in Southern Guangxi could be partly attributed to clean air mass transfer (24-58%) from the South China Sea. Overall, the synergistic effects of the COVID-19 lockdown and meteorological factors intensified O3 reduction in the Guangxi region of South China.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Ozone / Air Pollutants / Air Pollution / COVID-19 Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Pollut Journal subject: Environmental Health Year: 2021 Document Type: Article Affiliation country: J.envpol.2020.115927

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Ozone / Air Pollutants / Air Pollution / COVID-19 Limits: Humans Country/Region as subject: Asia Language: English Journal: Environ Pollut Journal subject: Environmental Health Year: 2021 Document Type: Article Affiliation country: J.envpol.2020.115927