Articles | Volume 24, issue 11
https://doi.org/10.5194/acp-24-6509-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-24-6509-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 Jun 2024
Research article |
| 04 Jun 2024
| 04 Jun 2024
Global source apportionment of aerosols into major emission regions and sectors over 1850–2017
Joint International Research Laboratory of Climate and Environment Change (ILCEC), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Shaoxuan Mou
Joint International Research Laboratory of Climate and Environment Change (ILCEC), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Hailong Wang
Atmospheric, Climate, and Earth Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, USA
Pinya Wang
Joint International Research Laboratory of Climate and Environment Change (ILCEC), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Baojie Li
Joint International Research Laboratory of Climate and Environment Change (ILCEC), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
Hong Liao
Joint International Research Laboratory of Climate and Environment Change (ILCEC), Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control, Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing, Jiangsu, China
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Total article views: 2,892 (including HTML, PDF, and XML)
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Cited
13 citations as recorded by crossref.
- Projected impacts of multiple aerosols on future photovoltaic power generation and cloud impact separation Z. Liu et al. https://doi.org/10.1016/j.energy.2026.140153
- Temporal patterns and socioeconomic controls of PM2.5 across global cities K. Li et al. https://doi.org/10.1016/j.scs.2025.106456
- The role of amides in atmospheric iodic acid formation and iodic acid hydrate nucleation J. Li et al. https://doi.org/10.1016/j.comptc.2026.115928
- A Microfluidic Multispectral Diffraction Platform for Quantitative Analysis of Atmospheric Black Carbon Aerosols Z. Zhang et al. https://doi.org/10.1021/acs.analchem.6c03051
- Impacts of reductions in anthropogenic emissions from 2015 to 2024 on PM2.5 and meteorological conditions over China D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121658
- On the dynamic link between summer inner-continental warming and the outer-continental weakened precipitation extreme ascent in East Asia J. Cho & H. Kim https://doi.org/10.1016/j.atmosres.2025.108645
- Change of aerosol properties and transport mechanisms in Beijing during 2021-2024 R. Xu et al. https://doi.org/10.1016/j.apr.2026.103152
- Individual particle compositions and aerosol mixing states at different altitudes over the ocean in East Asia K. Adachi et al. https://doi.org/10.5194/acp-25-12599-2025
- Unraveling Seasonality in Origin and Processing of Carbonaceous Aerosols over Western India Using Dual-Carbon Isotopes M. Devaprasad et al. https://doi.org/10.1021/acsestair.4c00341
- STRATOSPHERIC AEROSOL SOURCE INVERSION: NOISE, VARIABILITY, AND UNCERTAINTY QUANTIFICATION J. Hart et al. https://doi.org/10.1615/JMachLearnModelComput.2024056144
- Impact of PM2.5 Pollution on Solar Photovoltaic Power Generation in Hebei Province, China A. Hu et al. https://doi.org/10.3390/en18154195
- Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3 Y. Bhatti et al. https://doi.org/10.5194/acp-26-269-2026
- Improving WRF-Chem aerosol optical depth prediction over India using artificial neural network A. Khan et al. https://doi.org/10.1007/s44292-025-00067-1
13 citations as recorded by crossref.
- Projected impacts of multiple aerosols on future photovoltaic power generation and cloud impact separation Z. Liu et al. https://doi.org/10.1016/j.energy.2026.140153
- Temporal patterns and socioeconomic controls of PM2.5 across global cities K. Li et al. https://doi.org/10.1016/j.scs.2025.106456
- The role of amides in atmospheric iodic acid formation and iodic acid hydrate nucleation J. Li et al. https://doi.org/10.1016/j.comptc.2026.115928
- A Microfluidic Multispectral Diffraction Platform for Quantitative Analysis of Atmospheric Black Carbon Aerosols Z. Zhang et al. https://doi.org/10.1021/acs.analchem.6c03051
- Impacts of reductions in anthropogenic emissions from 2015 to 2024 on PM2.5 and meteorological conditions over China D. Li et al. https://doi.org/10.1016/j.atmosenv.2025.121658
- On the dynamic link between summer inner-continental warming and the outer-continental weakened precipitation extreme ascent in East Asia J. Cho & H. Kim https://doi.org/10.1016/j.atmosres.2025.108645
- Change of aerosol properties and transport mechanisms in Beijing during 2021-2024 R. Xu et al. https://doi.org/10.1016/j.apr.2026.103152
- Individual particle compositions and aerosol mixing states at different altitudes over the ocean in East Asia K. Adachi et al. https://doi.org/10.5194/acp-25-12599-2025
- Unraveling Seasonality in Origin and Processing of Carbonaceous Aerosols over Western India Using Dual-Carbon Isotopes M. Devaprasad et al. https://doi.org/10.1021/acsestair.4c00341
- STRATOSPHERIC AEROSOL SOURCE INVERSION: NOISE, VARIABILITY, AND UNCERTAINTY QUANTIFICATION J. Hart et al. https://doi.org/10.1615/JMachLearnModelComput.2024056144
- Impact of PM2.5 Pollution on Solar Photovoltaic Power Generation in Hebei Province, China A. Hu et al. https://doi.org/10.3390/en18154195
- Uncertainty in aerosol effective radiative forcing from anthropogenic and natural aerosol parameters in ECHAM6.3-HAM2.3 Y. Bhatti et al. https://doi.org/10.5194/acp-26-269-2026
- Improving WRF-Chem aerosol optical depth prediction over India using artificial neural network A. Khan et al. https://doi.org/10.1007/s44292-025-00067-1
Saved (final revised paper)
Latest update: 29 Aug 2026
Short summary
The variations in anthropogenic aerosol concentrations and source contributions and their subsequent radiative impact in major emission regions during historical periods are quantified based on an aerosol-tagging system in E3SMv1. Due to the industrial development and implementation of economic policies, sources of anthropogenic aerosols show different variations, which has important implications for pollution prevention and control measures and decision-making for global collaboration.
The variations in anthropogenic aerosol concentrations and source contributions and their...
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