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

• Published in: Progress in earth and planetary science Vol. 10; no. 1; pp. 10 - 14
• Main Authors: Tohjima, Yasunori, Niwa, Yosuke, Patra, Prabir K., Mukai, Hitoshi, Machida, Toshinobu, Sasakawa, Motoki, Tsuboi, Kazuhiro, Saito, Kazuyuki, Ito, Akihiko
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 02.03.2023; Springer Nature B.V; SpringerOpen
• Subjects: 2. Atmospheric and hydrospheric sciences; Atmospheric CH4; Atmospheric CO2; Atmospheric Sciences; Atmospheric transport; Atmospheric transport models; Biogeosciences; Carbon dioxide emissions; Carbon dioxide flux; Coronaviruses; COVID-19; COVID-19 lockdown; Earth and Environmental Science; Earth Sciences; East Asian Monsoon; Fossil fuel CO2 emissions; Fossil fuels; Geophysics/Geodesy; Hydrogeology; Interannual variations; Islands; Methane; Methodology; Planetology; Ratios; Synoptic-scale variations; China; Japan; Synoptic-scale variations; East Asian Monsoon; COVID-19 lockdown; Fossil fuel CO; Atmospheric CO; emissions; Atmospheric CH
• ISSN: 2197-4284; 2197-4284
• DOI: 10.1186/s40645-023-00542-6

We developed a near-real-time estimation method for temporal changes in fossil fuel CO 2 (FFCO 2 ) emissions from China for 3 months [January, February, March (JFM)] based on atmospheric CO 2 and CH 4 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 2 and CH 4 (ΔCO 2 /ΔCH 4 ) 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 2 and CH 4 fluxes, we found that the ΔCO 2 /ΔCH 4 ratio was linearly related to the FFCO 2 /CH 4 emission ratio in China because calculating the variability ratio canceled out the transport influences. Using the simulated linear relationship, we converted the observed ΔCO 2 /ΔCH 4 ratios into FFCO 2 /CH 4 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 2 /ΔCH 4 ratios were observed. These changes in the emission ratios can be read as FFCO 2 emission changes under the assumption of no interannual variations in CH 4 emissions and biospheric CO 2 fluxes for JFM. The resulting average changes in the FFCO 2 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 2 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.