Earth System Science Data
Earth System Science Data
Earth System Science Data
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5113-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-5113-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 10
Data description paper
 | 
01 Oct 2025
Data description paper |  | 01 Oct 2025

Tracking county-level cooking emissions and their drivers in China from 1990 to 2021 with ensemble machine learning

Zeqi Li, Bin Zhao, Shengyue Li, Zhezhe Shi, Dejia Yin, Qingru Wu, Fenfen Zhang, Xiao Yun, Guanghan Huang, Yun Zhu, and Shuxiao Wang

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Latest update: 01 Oct 2025
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Short summary
This study uses an ensemble machine learning model to predict long-term, high-resolution cooking activity data, establishing China’s first county-level cooking emission inventory spanning 1990–2021. It covers key pollutants such as polycyclic aromatic hydrocarbons. It reveals emissions’ long-term spatiotemporal trends and driving factors, such as population migration and economic growth, offering efficient control strategies. This dataset is crucial for air pollution and health impact studies.
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