Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China. (15th September 2022)
- Record Type:
- Journal Article
- Title:
- Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China. (15th September 2022)
- Main Title:
- Anthropogenic CO2 emission reduction during the COVID-19 pandemic in Nanchang City, China
- Authors:
- Hu, Cheng
Griffis, Timothy J.
Xia, Lingjun
Xiao, Wei
Liu, Cheng
Xiao, Qitao
Huang, Xin
Yang, Yanrong
Zhang, Leying
Hou, Bo - Abstract:
- Abstract: China is the largest CO2 emitting country on Earth. During the COVID-19 pandemic, China implemented strict government control measures on both outdoor activity and industrial production. These control measures, therefore, were expected to significantly reduce anthropogenic CO2 emissions. However, large discrepancies still exist in the estimated anthropogenic CO2 emission reduction rate caused by COVID-19 restrictions, with values ranging from 10% to 40% among different approaches. Here, we selected Nanchang city, located in eastern China, to examine the impact of COVID-19 on CO2 emissions. Continuous atmospheric CO2 and ground-level CO observations from January 1st to April 30th, 2019 to 2021 were used with the WRF-STILT atmospheric transport model and a priori emissions. And a multiplicative scaling factor and Bayesian inversion method were applied to constrain anthropogenic CO2 emissions before, during, and after the COVID-19 pandemic. We found a 37.1–40.2% emission reduction when compared to the COVID-19 pandemic in 2020 with the same period in 2019. Carbon dioxide emissions from the power industry and manufacturing industry decreased by 54.5% and 18.9% during the pandemic period. The power industry accounted for 73.9% of total CO2 reductions during COVID-19. Further, emissions in 2021 were 14.3–14.9% larger than in 2019, indicating that economic activity quickly recovered to pre-pandemic conditions. Graphical abstract: Image 1 Highlights: A 40% decrease ofAbstract: China is the largest CO2 emitting country on Earth. During the COVID-19 pandemic, China implemented strict government control measures on both outdoor activity and industrial production. These control measures, therefore, were expected to significantly reduce anthropogenic CO2 emissions. However, large discrepancies still exist in the estimated anthropogenic CO2 emission reduction rate caused by COVID-19 restrictions, with values ranging from 10% to 40% among different approaches. Here, we selected Nanchang city, located in eastern China, to examine the impact of COVID-19 on CO2 emissions. Continuous atmospheric CO2 and ground-level CO observations from January 1st to April 30th, 2019 to 2021 were used with the WRF-STILT atmospheric transport model and a priori emissions. And a multiplicative scaling factor and Bayesian inversion method were applied to constrain anthropogenic CO2 emissions before, during, and after the COVID-19 pandemic. We found a 37.1–40.2% emission reduction when compared to the COVID-19 pandemic in 2020 with the same period in 2019. Carbon dioxide emissions from the power industry and manufacturing industry decreased by 54.5% and 18.9% during the pandemic period. The power industry accounted for 73.9% of total CO2 reductions during COVID-19. Further, emissions in 2021 were 14.3–14.9% larger than in 2019, indicating that economic activity quickly recovered to pre-pandemic conditions. Graphical abstract: Image 1 Highlights: A 40% decrease of anthropogenic CO2 emissions was observed during the 2020 COVID-19 pandemic. Power industry accounted for 73.9% of total CO2 reductions during COVID-19. Anthropogenic CO2 emissions in 2021 were 14% larger than in 2019. The recovery of CO2 emissions between year 2021 and 2019 indicates a fast economic rebound. Point source location mismatches should be evaluated in city scale emission inversion. … (more)
- Is Part Of:
- Environmental pollution. Volume 309(2022)
- Journal:
- Environmental pollution
- Issue:
- Volume 309(2022)
- Issue Display:
- Volume 309, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 309
- Issue:
- 2022
- Issue Sort Value:
- 2022-0309-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-09-15
- Subjects:
- WRF-STILT model -- City scale -- Top-down method -- Bayesian inversion method
Pollution -- Periodicals
Pollution -- Environmental aspects -- Periodicals
Environmental Pollution -- Periodicals
Pollution -- Périodiques
Pollution -- Aspect de l'environnement -- Périodiques
Pollution -- Effets physiologiques -- Périodiques
Pollution
Pollution -- Environmental aspects
Periodicals
Electronic journals
363.73 - Journal URLs:
- http://www.sciencedirect.com/science/journal/02697491 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.envpol.2022.119767 ↗
- Languages:
- English
- ISSNs:
- 0269-7491
- Deposit Type:
- Legaldeposit
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