Articles | Volume 24, issue 18
https://doi.org/10.5194/acp-24-10849-2024
© 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-24-10849-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Sep 2024
Research article |
| 26 Sep 2024
| 26 Sep 2024
Impact of meteorology and aerosol sources on PM2.5 and oxidative potential variability and levels in China
Jiemei Liu
Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Jesper H. Christensen
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Zhuyun Ye
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Shikui Dong
Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China
Camilla Geels
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Jørgen Brandt
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Athanasios Nenes
Laboratory of Atmospheric Processes and Their Impacts, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
Center for the Study of Air Quality and Climate Change, Foundation for Research and Technology Hellas (FORTH), Thessaloniki, Greece
Yuan Yuan
CORRESPONDING AUTHOR
Key Laboratory of Aerospace Thermophysics, Ministry of Industry and Information Technology, Harbin Institute of Technology, 92 West Dazhi Street, Harbin 150001, China
Department of Environmental Science/Interdisciplinary Centre for Climate Change, Aarhus University, Frederiksborgvej 399, Roskilde, Denmark
Viewed
Total article views: 5,790 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Dec 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 4,351 | 1,064 | 375 | 5,790 | 387 | 252 | 347 |
- HTML: 4,351
- PDF: 1,064
- XML: 375
- Total: 5,790
- Supplement: 387
- BibTeX: 252
- EndNote: 347
Total article views: 3,122 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 26 Sep 2024)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,325 | 517 | 280 | 3,122 | 150 | 140 | 166 |
- HTML: 2,325
- PDF: 517
- XML: 280
- Total: 3,122
- Supplement: 150
- BibTeX: 140
- EndNote: 166
Total article views: 2,668 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 07 Dec 2023)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 2,026 | 547 | 95 | 2,668 | 237 | 112 | 181 |
- HTML: 2,026
- PDF: 547
- XML: 95
- Total: 2,668
- Supplement: 237
- BibTeX: 112
- EndNote: 181
Viewed (geographical distribution)
Total article views: 5,790 (including HTML, PDF, and XML)
Thereof 5,735 with geography defined
and 55 with unknown origin.
Total article views: 3,122 (including HTML, PDF, and XML)
Thereof 3,081 with geography defined
and 41 with unknown origin.
Total article views: 2,668 (including HTML, PDF, and XML)
Thereof 2,654 with geography defined
and 14 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
15 citations as recorded by crossref.
- Interannual Meteorological Forcing and Spatial Heterogeneity of Winter PM2.5 Regimes in Central China Y. He et al. https://doi.org/10.3390/atmos17050502
- Study on chemical agglomeration mechanisms of fine particulate matter in coal-fired flue gas L. Zhou et al. https://doi.org/10.1016/j.seppur.2025.132115
- Persistently high oxidative burden of PM2.5 amidst declining mass concentration: Evidence from long-term observation in Shanghai Y. Huang et al. https://doi.org/10.1016/j.envpol.2026.128422
- Future projections of winter haze events in northern East Asia under different Shared Socioeconomic Pathways (SSPs) J. Jeong et al. https://doi.org/10.1016/j.scitotenv.2025.180805
- Multiscale driving mechanisms of PM2.5 and O3 in China: Insights from reconstruction, spatial clustering, and ensemble modeling M. Dong et al. https://doi.org/10.1016/j.eiar.2026.108580
- Unveiling the shifting PM2.5 chemistry in industrial regions of Pearl River Delta, China: Rising nitrate contributions amidst emission reductions Z. Liu et al. https://doi.org/10.1016/j.jhazmat.2025.140986
- Prenatal exposure to PM2.5 specific constituents and child neurodevelopmental delay: The role of maternal metabolites and mediterranean diet X. Wang et al. https://doi.org/10.1016/j.ecoenv.2026.120371
- Climate Change Impacts on Worldwide Cotton Productivity and Agricultural Income: Physiological, Econometric, and Precision Agriculture Perspectives M. Zuhal et al. https://doi.org/10.1080/15440478.2026.2708455
- Analysis of thermal utilization efficiency of solar collectors under aerosol classification model X. Gao et al. https://doi.org/10.1016/j.energy.2026.139946
- Seasonal source shifts drive oxidative potential of size-resolved particulate matter in coastal southeastern China F. Wei et al. https://doi.org/10.1016/j.jhazmat.2026.143237
- Decoding the asymmetric relationship between economic activity and air pollution in Saudi Arabia: evidence from a NARDL model I. Abid https://doi.org/10.1007/s11869-025-01868-4
- The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies D. Guizzardi et al. https://doi.org/10.5194/essd-17-5915-2025
- Seasonal, compositional, and meteorological drivers of PM2.5 oxidative potential: Evidence from a year-long multi-assay study in Melbourne S. Iram et al. https://doi.org/10.1016/j.scitotenv.2025.181047
- Temporal Variations in the Association between Short-Term Exposure to PM2.5, Its Components, and Ischemic Stroke Onset: A Nationwide Case-Crossover Study of 1.62 Million Patients Z. Pan et al. https://doi.org/10.1021/acs.est.5c14593
- Artificial intelligence model-based high-accuracy estimation of global PM2.5 concentrations using gap-filled aerosol optical depth Z. Wang et al. https://doi.org/10.1016/j.jclepro.2026.148788
15 citations as recorded by crossref.
- Interannual Meteorological Forcing and Spatial Heterogeneity of Winter PM2.5 Regimes in Central China Y. He et al. https://doi.org/10.3390/atmos17050502
- Study on chemical agglomeration mechanisms of fine particulate matter in coal-fired flue gas L. Zhou et al. https://doi.org/10.1016/j.seppur.2025.132115
- Persistently high oxidative burden of PM2.5 amidst declining mass concentration: Evidence from long-term observation in Shanghai Y. Huang et al. https://doi.org/10.1016/j.envpol.2026.128422
- Future projections of winter haze events in northern East Asia under different Shared Socioeconomic Pathways (SSPs) J. Jeong et al. https://doi.org/10.1016/j.scitotenv.2025.180805
- Multiscale driving mechanisms of PM2.5 and O3 in China: Insights from reconstruction, spatial clustering, and ensemble modeling M. Dong et al. https://doi.org/10.1016/j.eiar.2026.108580
- Unveiling the shifting PM2.5 chemistry in industrial regions of Pearl River Delta, China: Rising nitrate contributions amidst emission reductions Z. Liu et al. https://doi.org/10.1016/j.jhazmat.2025.140986
- Prenatal exposure to PM2.5 specific constituents and child neurodevelopmental delay: The role of maternal metabolites and mediterranean diet X. Wang et al. https://doi.org/10.1016/j.ecoenv.2026.120371
- Climate Change Impacts on Worldwide Cotton Productivity and Agricultural Income: Physiological, Econometric, and Precision Agriculture Perspectives M. Zuhal et al. https://doi.org/10.1080/15440478.2026.2708455
- Analysis of thermal utilization efficiency of solar collectors under aerosol classification model X. Gao et al. https://doi.org/10.1016/j.energy.2026.139946
- Seasonal source shifts drive oxidative potential of size-resolved particulate matter in coastal southeastern China F. Wei et al. https://doi.org/10.1016/j.jhazmat.2026.143237
- Decoding the asymmetric relationship between economic activity and air pollution in Saudi Arabia: evidence from a NARDL model I. Abid https://doi.org/10.1007/s11869-025-01868-4
- The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies D. Guizzardi et al. https://doi.org/10.5194/essd-17-5915-2025
- Seasonal, compositional, and meteorological drivers of PM2.5 oxidative potential: Evidence from a year-long multi-assay study in Melbourne S. Iram et al. https://doi.org/10.1016/j.scitotenv.2025.181047
- Temporal Variations in the Association between Short-Term Exposure to PM2.5, Its Components, and Ischemic Stroke Onset: A Nationwide Case-Crossover Study of 1.62 Million Patients Z. Pan et al. https://doi.org/10.1021/acs.est.5c14593
- Artificial intelligence model-based high-accuracy estimation of global PM2.5 concentrations using gap-filled aerosol optical depth Z. Wang et al. https://doi.org/10.1016/j.jclepro.2026.148788
Saved (final revised paper)
Latest update: 28 Aug 2026
Short summary
China was chosen as an example to conduct a quantitative analysis using the Danish Eulerian Hemispheric Model (DEHM) system with meteorological input from the Weather Research and Forecasting (WRF) model. Meteorological conditions and emission inventories contributed 46 % (65 %) and 54 % (35 %) to the variations in PM2.5 concentrations (oxidative potential – OP), respectively, highlighting secondary aerosol formation and biomass burning as the primary contributors to PM2.5 and OP levels.
China was chosen as an example to conduct a quantitative analysis using the Danish Eulerian...
Altmetrics
Final-revised paper
Preprint