Impact of Anthropogenic Emission Reduction during COVID-19 on Air Quality in Nanjing, China
Atmosphere
; 14(4):630, 2023.
Article
Dans Anglais
| ProQuest Central | ID: covidwho-2306097
ABSTRACT
To avoid the spread of COVID-19, China has implemented strict lockdown policies and control measures, resulting in a dramatic decrease in air pollution and improved air quality. In this study, the air quality model WRF-Chem and the latest MEIC2019 and MEIC2020 anthropogenic emission inventories were used to simulate the air quality during the COVID-19 lockdown in 2020 and the same period in 2019. By designing different emission scenarios, this study explored the impact of the COVID-19 lockdown on the concentration of air pollutants emitted by different sectors (industrial sector and transportation sector) in Nanjing for the first time. The results indicate that influenced by the COVID-19 lockdown policies, compared with the same period in 2019, the concentrations of PM2.5, PM10, and NO2 in Nanjing decreased by 15%, 17.1%, and 20.3%, respectively, while the concentration of O3 increased by 45.1% in comparison;the concentrations of PM2.5, PM10 and NO2 emitted by industrial sector decreased by 30.7%, 30.8% and 14.0% respectively;the concentrations of PM2.5, PM10 and NO2 emitted by transportation sector decreased by 15.6%, 15.7% and 26.2% respectively. The COVID-19 lockdown has a greater impact on the concentrations of PM2.5 and PM10 emitted by the industrial sector, while the impact on air pollutants emitted by the transportation sector is more reflected in the concentration of NO2. This study provides some theoretical basis for the treatment of air pollutants in different departments in Nanjing.
Meteorology; WRF-Chem; anthropogenic emissions inventory; air pollutants; COVID-19; Air quality; Air pollution; Pollutants; Nitrogen dioxide; Anthropogenic factors; Emissions; Transportation; Transportation industry; Emission analysis; Outdoor air quality; Human influences; Emissions control; Policies; Industrial pollution; Emission inventories; Quality; Particulate matter; Medical research; Air quality models; Coronaviruses; Disease transmission; China; Taiwan; India; Yangtze River
Texte intégral:
Disponible
Collection:
Bases de données des oragnisations internationales
Base de données:
ProQuest Central
Type d'étude:
Études expérimentales
langue:
Anglais
Revue:
Atmosphere
Année:
2023
Type de document:
Article
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