Articles | Volume 15, issue 11
https://doi.org/10.5194/essd-15-5017-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-15-5017-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
High-resolution emission inventory of full-volatility organic compounds from cooking in China during 2015–2021
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Shuxiao Wang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Shengyue Li
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Xiaochun Wang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Guanghan Huang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Xing Chang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Laboratory of Transport Pollution Control and Monitoring Technology, Transport Planning and Research Institute, Ministry of Transport, Beijing 100028, China
Lyuyin Huang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Chengrui Liang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Yun Zhu
Guangdong Provincial Key Laboratory of Atmospheric Environment and Pollution Control, College of Environment and Energy, South China University of Technology, Guangzhou, 510006, China
Haotian Zheng
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Qian Song
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Qingru Wu
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
Fenfen Zhang
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Tsinghua University, Beijing, 100084, China
State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing 100084, China
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Cited
20 citations as recorded by crossref.
- County-level emission inventory reveals substantial contributions of small and medium-sized cities to air pollutants and CO2 emissions in China Z. Shi et al. https://doi.org/10.1016/j.jenvman.2026.128941
- Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere Z. Li et al. https://doi.org/10.1021/acs.est.3c06708
- High-resolution city-scale cooking emission inventory based on internet big data M. He et al. https://doi.org/10.1016/j.apr.2025.102657
- Evaluating simulations of organic aerosol volatility and degree of oxygenation in eastern China Y. Li et al. https://doi.org/10.5194/acp-26-1001-2026
- Emission Characteristics of Full-Volatility Range Organic Compounds from Typical Commercial Cooking in China G. Huang et al. https://doi.org/10.1021/acsestair.5c00513
- High-resolution emission inventory of full-volatility organic compounds from cooking in China during 2015–2021 Z. Li et al. https://doi.org/10.5194/essd-15-5017-2023
- Global Wildland Fire Emissions of Full-Volatility Organic Compounds from 1997 to 2023 L. Huang et al. https://doi.org/10.1021/acs.est.5c10217
- A recent emission inventory of S/IVOCs with high-resolution and evaluation in the Yangtze River Delta region of China T. Song et al. https://doi.org/10.1016/j.partic.2025.03.010
- Street Canyon Air Pollution and Pedestrian Health Risk Affected by Household Volatile Chemical Products (VCPs) Emission J. Fan et al. https://doi.org/10.1021/acsestair.5c00036
- Characteristics and health risk assessment of VOCs from typical hot pot restaurants in Chongqing, China X. Hua et al. https://doi.org/10.1039/D5VA00320B
- Unified modeling of the formation and evolution of secondary organic aerosol from oxygenated aliphatic precursors over long-time oxidation S. Hou et al. https://doi.org/10.1038/s44407-026-00067-4
- Chemical characterization of organic vapors from wood, straw, cow dung, and coal burning T. Wang et al. https://doi.org/10.5194/acp-25-2707-2025
- Strengthening ecosystem services through industrial upgrading in city components: Insights from restaurants in China T. Zhou et al. https://doi.org/10.1016/j.jclepro.2025.146678
- Tracking county-level cooking emissions and their drivers in China from 1990 to 2021 with ensemble machine learning Z. Li et al. https://doi.org/10.5194/essd-17-5113-2025
- Estimating commercial cooking contribution to urban PM2.5 and O3 with a refined emission inventory from a unified online-source framework Y. Yuan et al. https://doi.org/10.1007/s11783-026-2242-5
- Driving Factors of PM2.5 Pollution Rebound in North China Plain in Early 2023 Q. Song et al. https://doi.org/10.1021/acs.estlett.4c01153
- Pollution Characterization and Environmental Impact Evaluation of Atmospheric Intermediate Volatile Organic Compounds: A Review Y. Yan et al. https://doi.org/10.3390/toxics13040318
- Autumn and spring observations of PM2.5-bound polycyclic aromatic hydrocarbons and nitro-polycyclic aromatic hydrocarbons in China and Japan L. Zhang et al. https://doi.org/10.1016/j.envpol.2023.123139
- Unified Source Apportionment of Organic Aerosols and Volatile Organic Compounds Reveals Underestimated Cooking Impacts in Urban Air Quality P. Sun et al. https://doi.org/10.1021/acsestair.5c00210
- Shifting from concentration-based to health-oriented air pollution control in China Z. Dong et al. https://doi.org/10.1016/j.scib.2026.04.039
20 citations as recorded by crossref.
- County-level emission inventory reveals substantial contributions of small and medium-sized cities to air pollutants and CO2 emissions in China Z. Shi et al. https://doi.org/10.1016/j.jenvman.2026.128941
- Modeling the Formation of Organic Compounds across Full Volatility Ranges and Their Contribution to Nanoparticle Growth in a Polluted Atmosphere Z. Li et al. https://doi.org/10.1021/acs.est.3c06708
- High-resolution city-scale cooking emission inventory based on internet big data M. He et al. https://doi.org/10.1016/j.apr.2025.102657
- Evaluating simulations of organic aerosol volatility and degree of oxygenation in eastern China Y. Li et al. https://doi.org/10.5194/acp-26-1001-2026
- Emission Characteristics of Full-Volatility Range Organic Compounds from Typical Commercial Cooking in China G. Huang et al. https://doi.org/10.1021/acsestair.5c00513
- High-resolution emission inventory of full-volatility organic compounds from cooking in China during 2015–2021 Z. Li et al. https://doi.org/10.5194/essd-15-5017-2023
- Global Wildland Fire Emissions of Full-Volatility Organic Compounds from 1997 to 2023 L. Huang et al. https://doi.org/10.1021/acs.est.5c10217
- A recent emission inventory of S/IVOCs with high-resolution and evaluation in the Yangtze River Delta region of China T. Song et al. https://doi.org/10.1016/j.partic.2025.03.010
- Street Canyon Air Pollution and Pedestrian Health Risk Affected by Household Volatile Chemical Products (VCPs) Emission J. Fan et al. https://doi.org/10.1021/acsestair.5c00036
- Characteristics and health risk assessment of VOCs from typical hot pot restaurants in Chongqing, China X. Hua et al. https://doi.org/10.1039/D5VA00320B
- Unified modeling of the formation and evolution of secondary organic aerosol from oxygenated aliphatic precursors over long-time oxidation S. Hou et al. https://doi.org/10.1038/s44407-026-00067-4
- Chemical characterization of organic vapors from wood, straw, cow dung, and coal burning T. Wang et al. https://doi.org/10.5194/acp-25-2707-2025
- Strengthening ecosystem services through industrial upgrading in city components: Insights from restaurants in China T. Zhou et al. https://doi.org/10.1016/j.jclepro.2025.146678
- Tracking county-level cooking emissions and their drivers in China from 1990 to 2021 with ensemble machine learning Z. Li et al. https://doi.org/10.5194/essd-17-5113-2025
- Estimating commercial cooking contribution to urban PM2.5 and O3 with a refined emission inventory from a unified online-source framework Y. Yuan et al. https://doi.org/10.1007/s11783-026-2242-5
- Driving Factors of PM2.5 Pollution Rebound in North China Plain in Early 2023 Q. Song et al. https://doi.org/10.1021/acs.estlett.4c01153
- Pollution Characterization and Environmental Impact Evaluation of Atmospheric Intermediate Volatile Organic Compounds: A Review Y. Yan et al. https://doi.org/10.3390/toxics13040318
- Autumn and spring observations of PM2.5-bound polycyclic aromatic hydrocarbons and nitro-polycyclic aromatic hydrocarbons in China and Japan L. Zhang et al. https://doi.org/10.1016/j.envpol.2023.123139
- Unified Source Apportionment of Organic Aerosols and Volatile Organic Compounds Reveals Underestimated Cooking Impacts in Urban Air Quality P. Sun et al. https://doi.org/10.1021/acsestair.5c00210
- Shifting from concentration-based to health-oriented air pollution control in China Z. Dong et al. https://doi.org/10.1016/j.scib.2026.04.039
Saved (final revised paper)
Latest update: 14 Jul 2026
Short summary
This study developed the first full-volatility organic emission inventory for cooking sources in China, presenting high-resolution cooking emissions during 2015–2021. It identified the key subsectors and hotspots of cooking emissions, analyzed emission trends and drivers, and proposed future control strategies. The dataset is valuable for accurately simulating organic aerosol formation and evolution and for understanding the impact of organic emissions on air pollution and climate change.
This study developed the first full-volatility organic emission inventory for cooking sources in...
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