Preprints
https://doi.org/10.5194/egusphere-2025-1931
https://doi.org/10.5194/egusphere-2025-1931
25 Jun 2025
 | 25 Jun 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Drivers and implications of declining fossil fuel CO2 in Chinese cities revealed by radiocarbon measurements

Pingyang Li, Boji Lin, Zhineng Cheng, Jing Li, Jun Li, Duohong Chen, Tao Zhang, Run Lin, Sanyuan Zhu, Jun Liu, Yujun Lin, Shizhen Zhao, Guangcai Zhong, Zhenchuan Niu, Ping Ding, and Gan Zhang

Abstract. China’s clean air policies have successfully mitigated fossil fuel CO2 (CO2ff) emissions in bottom-up inventories since 2013. Yet, evidence from top-down measurements and their underlying drivers remains lacking. Here, we quantify CO2ff concentrations and fuel-specific contributions using atmospheric Δ(14CO2) and δ(13CO2) measurements across representative Chinese cities. We found distinct regional trends: megacities like Guangzhou show significant CO2ff declines (35 % decrease from 2011 to 2022) along with their source regions, while smaller cities have yet to demonstrate similar reductions. These improvements can be attributed to a 23 % coal consumption reduction, 17 % increased natural gas use (evidenced by stable isotope analysis), and improved combustion efficiency (indicated by 63 % falling RCO/CO2ff ratios). Notably, the three-decade observational record shows steeper declines in urban RCO/CO2ff ratios than inventory estimates, suggesting current emission inventories may underestimate combustion efficiency improvements and CO emission reductions relative to CO2ff mitigations. These findings indicate nationwide progress toward CO2ff emission peaks, with megacities leading the transition. They also underscore how coal-to-gas transitions and technological upgrades simultaneously advance air quality and climate goals. Importantly, our results highlight the critical need to integrate top-down observational frameworks (e.g. radiocarbon measurements) with traditional inventories to better capture rapid, policy-driven emission changes and inform future co-benefit optimization strategies.

Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
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Pingyang Li, Boji Lin, Zhineng Cheng, Jing Li, Jun Li, Duohong Chen, Tao Zhang, Run Lin, Sanyuan Zhu, Jun Liu, Yujun Lin, Shizhen Zhao, Guangcai Zhong, Zhenchuan Niu, Ping Ding, and Gan Zhang

Status: open (until 14 Aug 2025)

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Pingyang Li, Boji Lin, Zhineng Cheng, Jing Li, Jun Li, Duohong Chen, Tao Zhang, Run Lin, Sanyuan Zhu, Jun Liu, Yujun Lin, Shizhen Zhao, Guangcai Zhong, Zhenchuan Niu, Ping Ding, and Gan Zhang
Pingyang Li, Boji Lin, Zhineng Cheng, Jing Li, Jun Li, Duohong Chen, Tao Zhang, Run Lin, Sanyuan Zhu, Jun Liu, Yujun Lin, Shizhen Zhao, Guangcai Zhong, Zhenchuan Niu, Ping Ding, and Gan Zhang

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Short summary
Our study indicates fossil fuel CO2 (CO2ff) reductions in Chinese megacities via atmospheric Δ(14CO2) and δ(13CO2) measurements, driven by coal-to-gas transitions and combustion efficiency improvement. Three-decade data show steeper declined urban RCO/CO2ff ratios than inventory estimates, implying underestimation of efficiency improvements and CO reductions. Integrating top-down observations with inventories is critical to track policy-driven emission shifts and optimize co-benefit strategies.
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