•  
  •  
 

Bulletin of Chinese Academy of Sciences (Chinese Version)

Keywords

radiocarbon, fossil fuel CO2 carbon emissions, carbon peaking, carbon neutrality, new method

Document Type

Environmental Protection and Ecological Restoration

Abstract

As an important carbon emitter, China faces the stress of carbon peaking and carbon neutrality goals and international carbon reduction duty. The accurate data of carbon emissions are important to evaluate the carbon peaking and carbon neutrality goals and fulfill the international duty of carbon reduction. The Intergovernmental Panel on Climate Change (IPCC) report recommends the combination of top-down atmospheric CO2 observation with atmospheric inversion to verify the bottom-up inventory of carbon emissions, and the atmospheric 14CO2 observation can make the verification more accurate. Radiocarbon (14C) is the most precise tracer of fossil fuel CO2 and is widely recommended by the international community to evaluate the carbon emissions. Based on the international developing trends and the situation in China for atmospheric 14CO2 observation, this study suggests to establish the atmospheric 14CO2 observation network as soon as possible, with more supporting; to conduct training to unify the standard, and to participate in international exchanges; and to combine the 14CO2 observation with atmospheric inversion to obtain the carbon emissions. The purpose of the 14CO2 observation is to make the research level of Chinese carbon emissions in line with the international standards, to improve the reliability of carbon emission data in China, and then to serve the carbon peaking and carbon neutrality goals and climate diplomacy negotiations.

First page

1866

Last Page

1873

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

References

1 Lüthi D, Le Floch M, Bereiter B, et al. High-resolution carbon dioxide concentration record 650,000–800,000 years before present. Nature, 2008, 453(7193): 379-382.

2 Friedlingstein P, O’Sullivan M, Jones M W, et al. Global carbon budget 2022. Earth System Science Data, 2022, 14(11): 4811-4900.

3 IPCC. IPCC. AR6 Synthesis Report: Climate Change 2023. [2023-12-15]. https://www.ipcc.ch/report/sixth-assessment-report-cycle.

4 Marland G, Hamal K, Jonas M. How uncertain are estimates of CO2 emissions?. Journal of Industrial Ecology, 2009, 13(1): 4-7.

5 Ballantyne A P, Andres R, Houghton R, et al. Audit of the global carbon budget: Estimate errors and their impact on uptake uncertainty. Biogeosciences, 2015, 12(8): 2565-2584.

6 Liu Z, Guan D, Wei W, et al. Reduced carbon emission estimates from fossil fuel combustion and cement production in China. Nature, 2015, 524: 335-338.

7 Gately C K, Hutyra L R. Large uncertainties in urban-scale carbon emissions. Journal of Geophysical Research: Atmospheres, 2017, 122(11): 242-260.

8 IPCC. 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. Geneva: IPCC, 2019.

9 刘毅, 王婧, 车轲, 等. 温室气体的卫星遥感——进展与趋势. 遥感学报, 2021, 25(1): 53-64. Liu Y, Wang J, Che K, et al. Satellite remote sensing of greenhouse gases: Progress and trends. National Remote Sensing Bulletin, 2021, 25(1): 53-64. (in Chinese)

10 刘良云, 陈良富, 刘毅, 等. 全球碳盘点卫星遥感监测方法、进展与挑战. 遥感学报, 2022, 26(2): 243-267. Liu L Y, Chen L F, Liu Y, et al. Satellite remote sensing for global stocktaking: Methods, progress and perspectives. National Remote Sensing Bulletin, 2022, 26(2): 243-267. (in Chinese)

11 Currie K I, Brailsford G, Nichol S, et al. Tropospheric 14CO2 at Wellington, New Zealand: The world’s longest record. Biogeochemistry, 2011, 104: 5-22.

12 Levin I, Schuchard J, Kromer B, et al. The continental European suess effect. Radiocarbon, 1989, 31(3): 431-440.

13 Levin I, Kromer B, Hammer S. Atmospheric Δ14CO2 trend in Western European background air from 2000 to 2012. Tellus B: Chemical and Physical Meteorology, 2013, 65(1): 20092.

14 Turnbull J, Rayner P, Miller J, et al. On the use of 14CO2 as a tracer for fossil fuel CO2: Quantifying uncertainties using an atmospheric transport model. Journal of Geophysical Research, 2009, 114: D22302.

15 Turnbull J C, Keller E D, Norris M W, et al. Independent evaluation of point source fossil fuel CO2 emissions to better than 10%. PNAS, 2016, 113(37): 10287-10291.

16 Basu S, Miller J B, Lehman S. Separation of biospheric and fossil fuel fluxes of CO2 by atmospheric inversion of CO2 and 14CO2 measurements: Observation system simulations. Atmospheric Chemistry and Physics, 2016, 16(9): 5665-5683.

17 Basu S, Lehman Scott J, Miller John B, et al. Estimating US fossil fuel CO2 emissions from measurements of 14C in atmospheric CO2. PNAS, 2020, 117(24): 13300-13307.

18 National Research Council. Verifying Greenhouse Gas Emissions: Methods to Support International Climate Agreements. Washington, DC: The National Academies Press, 2010.

19 National Academies of Sciences, Engineering, and Medicine. Greenhouse Gas Emissions Information for Decision Making: A Framework Going Forward. Washington, DC: The National Academies Press, 2022.

20 WMO. Greenhouse Gas Bulletin: The State of Greenhouse Gases in the Atmosphere Based on Global Observations through 2018. New York: WMO, 2019.

21 Zhou L X, Conway T J, White J W C, et al. Long-term record of atmospheric CO2 and stable isotopic ratios at Waliguan Observatory: Background features and possible drivers, 1991–2002. Global Biogeochemical Cycles, 2005, 19(3): GB3021.

22 Fang S X, Zhou L X, Tans P P, et al. In situ measurement of atmospheric CO2 at the four WMO/GAW stations in China. Atmospheric Chemistry and Physics, 2014, 14(5): 2541-2554.

23 Li R, Zhang M G, Chen L F, et al. CMAQ simulation of atmospheric CO2 concentration in East Asia: Comparison with GOSAT observations and ground measurements. Atmospheric Environment, 2017, 160: 176-185.

24 Zhou W J, Wu S G, Huo W W, et al. Tracing fossil fuel CO2 using Δ14C in Xi’an city, China. Atmospheric Environment, 2014, 94: 538-545.

25 Niu Z C, Zhou W J, Wu S G, et al. Atmospheric fossil fuel CO2 traced by Δ14C in Beijing and Xiamen, China: Temporal variations, inland/coastal differences and influencing factors. Environmental Science & Technology, 2016, 50(11): 5474-5480.

26 Niu Z C, Zhou W J, Cheng P, et al. Observations of atmospheric Δ14CO2 at the global and regional background sites in China: Implication for fossil fuel CO2 inputs. Environmental Science & Technology, 2016, 50(22): 12122-12128.

27 Niu Z C, Feng X, Zhou W J, et al. Tree-ring Δ14C time series from 1948 to 2018 at a regional background site, China: Influences of atmospheric nuclear weapons tests and fossil fuel emissions. Atmospheric Environment, 2021, 246: 118156.

28 Zhou W J, Niu Z C, Wu S G, et al. Fossil fuel CO2 traced by radiocarbon in fifteen Chinese cities. Science of the Total Environment, 2020, 729: 138639.

29 Zhou W J, Niu Z C, Wu S G, et al. Recent progress in atmospheric fossil fuel CO2 trends traced by radiocarbon in China. Radiocarbon, 2022, 64(4): 793-803.

30 Feng T, Zhou W J, Wu S G, et al. High-resolution simulation of wintertime fossil fuel CO2 in Beijing, China: Characteristics, sources, and regional transport. Atmospheric Environment, 2019, 198: 226-235.

31 Wang P, Zhou W J, Xiong X H, et al. Source attribution of atmospheric CO2 using 14C and 13C as tracers in two Chinese megacities during winter. Journal of Geophysical Research: Atmospheres, 2022, 127(12): e2022JD036504.

32 Hu C, Xiao W, Griffis T J, et al. Estimation of anthropogenic CH4 and CO2 emissions in Taiyuan—Jinzhong region: One of the world’s largest emission hotspots. Journal of Geophysical Research: Atmospheres, 2023, 128(8): e2022JD037915.

Share

COinS