Investigation of PM2.5 pollution during COVID-19 pandemic in Guangzhou, China
| Autor: | Chun Yang, Shulin Guo, Yinglei Bi, Wenjun Gao, Xiaoliang Liao, Luyao Wen, Zhi-Feng Chen, Zongwei Cai, Zenghua Qi, Yanhao Zhang, Suk Ying Tsang, Xuyang Chai |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Pollution
China Environmental Engineering Coronavirus disease 2019 (COVID-19) media_common.quotation_subject meteorological analysis COVID-19 pandemic Article PM2.5 composition Environmental protection Air Pollution Pandemic Humans Environmental Chemistry PM2.5 pollution Pandemics General Environmental Science media_common Air Pollutants SARS-CoV-2 Gaseous pollutants COVID-19 source appointment General Medicine Communicable Disease Control Correlation analysis Environmental science Particulate Matter Environmental Monitoring |
| Zdroj: | Journal of Environmental Sciences (China) |
| ISSN: | 1001-0742 |
| Popis: | The COVID-19 pandemic has raised awareness about various environmental issues, including PM2.5 pollution. Here, PM2.5 pollution during the COVID-19 lockdown was traced and analyzed to clarify the sources and factors influencing PM2.5 in Guangzhou, with an emphasis on heavy pollution. The lockdown led to large reductions in industrial and traffic emissions, which significantly reduced PM2.5 concentrations in Guangzhou. Interestingly, the trend of PM2.5 concentrations was not consistent with traffic and industrial emissions, as minimum concentrations were observed in the fourth period (3/01-3/31, 22.45 μg•m−3) of the lockdown. However, the concentrations of other gaseous pollutants, e.g., SO2, NO2 and CO, were correlated with industrial and traffic emissions, and the lowest values were noticed in the second period (1/24-2/03) of the lockdown. Meteorological correlation analysis revealed that the decreased PM2.5 concentrations during COVID-19 can be mainly attributed to decreased industrial and traffic emissions rather than meteorological conditions. When meteorological factors were included in the PM2.5 composition and backward trajectory analyses, we found that long-distance transportation and secondary pollution offset the reduction of primary emissions in the second and third stages of the pandemic. Notably, industrial PM2.5 emissions from western, southern and southeastern Guangzhou play an important role in the formation of heavy pollution events. Our results not only verify the importance of controlling traffic and industrial emissions, but also provide targets for further improvements in PM2.5 pollution. Graphical abstract Image, graphical abstract |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full Text from ScienceDirect