Back to Search Start Over

Near-real-time estimation of fossil fuel CO2 emissions from China based on atmospheric observations on Hateruma and Yonaguni Islands, Japan.

Authors :
Tohjima, Yasunori
Niwa, Yosuke
Patra, Prabir K.
Mukai, Hitoshi
Machida, Toshinobu
Sasakawa, Motoki
Tsuboi, Kazuhiro
Saito, Kazuyuki
Ito, Akihiko
Source :
Progress in Earth & Planetary Science; 3/2/2023, Vol. 10 Issue 1, p1-14, 14p
Publication Year :
2023

Abstract

We developed a near-real-time estimation method for temporal changes in fossil fuel CO<subscript>2</subscript> (FFCO<subscript>2</subscript>) emissions from China for 3 months [January, February, March (JFM)] based on atmospheric CO<subscript>2</subscript> and CH<subscript>4</subscript> observations on Hateruma Island (HAT, 24.06° N, 123.81° E) and Yonaguni Island (YON, 24.47° N, 123.01° E), Japan. These two remote islands are in the downwind region of continental East Asia during winter because of the East Asian monsoon. Previous studies have revealed that monthly averages of synoptic-scale variability ratios of atmospheric CO<subscript>2</subscript> and CH<subscript>4</subscript> (ΔCO<subscript>2</subscript>/ΔCH<subscript>4</subscript>) observed at HAT and YON in JFM are sensitive to changes in continental emissions. From the analysis based on an atmospheric transport model with all components of CO<subscript>2</subscript> and CH<subscript>4</subscript> fluxes, we found that the ΔCO<subscript>2</subscript>/ΔCH<subscript>4</subscript> ratio was linearly related to the FFCO<subscript>2</subscript>/CH<subscript>4</subscript> emission ratio in China because calculating the variability ratio canceled out the transport influences. Using the simulated linear relationship, we converted the observed ΔCO<subscript>2</subscript>/ΔCH<subscript>4</subscript> ratios into FFCO<subscript>2</subscript>/CH<subscript>4</subscript> emission ratios in China. The change rates of the emission ratios for 2020–2022 were calculated relative to those for the preceding 9-year period (2011–2019), during which relatively stable ΔCO<subscript>2</subscript>/ΔCH<subscript>4</subscript> ratios were observed. These changes in the emission ratios can be read as FFCO<subscript>2</subscript> emission changes under the assumption of no interannual variations in CH<subscript>4</subscript> emissions and biospheric CO<subscript>2</subscript> fluxes for JFM. The resulting average changes in the FFCO<subscript>2</subscript> emissions in January, February, and March 2020 were 17 ± 8%, − 36 ± 7%, and − 12 ± 8%, respectively, (− 10 ± 9% for JFM overall) relative to 2011–2019. These results were generally consistent with previous estimates. The emission changes for January, February, and March were 18 ± 8%, − 2 ± 10%, and 29 ± 12%, respectively, in 2021 (15 ± 10% for JFM overall) and 20 ± 9%, − 3 ± 10%, and − 10 ± 9%, respectively, in 2022 (2 ± 9% for JFM overall). These results suggest that the FFCO<subscript>2</subscript> emissions from China rebounded to the normal level or set a new high record in early 2021 after a reduction during the COVID-19 lockdown. In addition, the estimated reduction in March 2022 might be attributed to the influence of a new wave of COVID-19 infections in Shanghai. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
21974284
Volume :
10
Issue :
1
Database :
Complementary Index
Journal :
Progress in Earth & Planetary Science
Publication Type :
Academic Journal
Accession number :
162206768
Full Text :
https://doi.org/10.1186/s40645-023-00542-6