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Ozone pollution mitigation in guangxi (south China) driven by meteorology and anthropogenic emissions during the COVID-19 lockdown()
With the implementation of COVID-19 restrictions and consequent improvement in air quality due to the nationwide lockdown, ozone (O(3)) pollution was generally amplified in China. However, the O(3) levels throughout the Guangxi region of South China showed a clear downward trend during the lockdown....
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7588315/ https://www.ncbi.nlm.nih.gov/pubmed/33143981 http://dx.doi.org/10.1016/j.envpol.2020.115927 |
Sumario: | With the implementation of COVID-19 restrictions and consequent improvement in air quality due to the nationwide lockdown, ozone (O(3)) pollution was generally amplified in China. However, the O(3) 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 O(3) 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 O(3) 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 O(3) pollution mitigation during the lockdown. A 7.84 μg/m(3) drop in O(3) concentration was driven by meteorology, with other decreases (4.11 μg/m(3)) explained by reduced anthropogenic emissions of O(3) precursors. Taken together, the lower NO(2)/SO(2) 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 O(3) 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 O(3) reduction in the Guangxi region of South China. |
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