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High-resolution spatio-temporal estimation of CO2 emissions from China's civil aviation industry

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  • Lu, Binbin
  • Dong, Jintao
  • Wang, Chun
  • Sun, Huabo
  • Yao, Hongyu

Abstract

Emissions of carbon dioxide (CO2), as for different sectors have drawn increasingly attentions due to carbon peaking and neutrality goals. In the transportation sector, civil aviation industry is an important emission source. In this study, we proposed a technical framework to accurately estimate high-resolution spatio-temporal CO2 emissions from all the domestic flights within the Chinese mainland. In this solution, both quick access recorder (QAR) and flight schedule data were adopted. The QAR data provide the details of fuel consumptions during a flight and is used to train an accurate estimation model, while the flight schedule data enable us to estimate large scale CO2 emissions with both spatial and temporal details. With this technical framework, we calculated the total, yearly, monthly and daily CO2 emissions of domestic civil aviation industry within Chinese mainland from 2018 to 2021, with a spatial resolution up to 0.1°×0.1°×1000feet. The results have been validated with uncertainty analysis and comparison to the data provided by CarbonMonitor, and acquired apparent advantages in spatio-temporal accuracies and interpretabilities.

Suggested Citation

  • Lu, Binbin & Dong, Jintao & Wang, Chun & Sun, Huabo & Yao, Hongyu, 2024. "High-resolution spatio-temporal estimation of CO2 emissions from China's civil aviation industry," Applied Energy, Elsevier, vol. 373(C).
    • Handle: RePEc:eee:appene:v:373:y:2024:i:c:s030626192401290x
    DOI: 10.1016/j.apenergy.2024.123907
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    References listed on IDEAS

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    1. Dan Tong & Qiang Zhang & Yixuan Zheng & Ken Caldeira & Christine Shearer & Chaopeng Hong & Yue Qin & Steven J. Davis, 2019. "Committed emissions from existing energy infrastructure jeopardize 1.5 °C climate target," Nature, Nature, vol. 572(7769), pages 373-377, August.
    2. Tang, Baojun & Li, Ru & Yu, Biying & An, Runying & Wei, Yi-Ming, 2018. "How to peak carbon emissions in China's power sector: A regional perspective," Energy Policy, Elsevier, vol. 120(C), pages 365-381.
    3. Wang, Lei & Wu, Changxu & Sun, Ruishan, 2014. "An analysis of flight Quick Access Recorder (QAR) data and its applications in preventing landing incidents," Reliability Engineering and System Safety, Elsevier, vol. 127(C), pages 86-96.
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    Cited by:

    1. Wei Chen & Yi Ai, 2024. "Research on the Carbon Emission Prediction and Reduction Strategies for the Civil Aviation Industry in China: A System Dynamics Approach," Sustainability, MDPI, vol. 16(20), pages 1-15, October.

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