Articles | Volume 23, issue 17
https://doi.org/10.5194/acp-23-9837-2023
© 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/acp-23-9837-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
05 Sep 2023
Research article |
| 05 Sep 2023
| 05 Sep 2023
Quantifying the seasonal variations in and regional transport of PM2.5 in the Yangtze River Delta region, China: characteristics, sources, and health risks
Yangzhihao Zhan
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
School of Environment, Nanjing Normal University, Nanjing 210023,
China
Wei Zhao
CORRESPONDING AUTHOR
Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the People's Republic of China, Nanjing 210023, China
Tijian Wang
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Da Gao
State Key Joint Laboratory of Environment Simulation and Pollution
Control, School of Environment, Tsinghua University, Beijing 100084, China
Pulong Chen
Net Zero Era (Jiangsu) Environmental Technology Co., Nanjing 210023, China
Jun Tian
Academy of Environmental Planning and Design. Co., Ltd., Nanjing
University, Nanjing 210023, China
Kuanguang Zhu
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Hubei Provincial Academy of Eco-Environmental Sciences, Wuhan 430073, China
Shu Li
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Bingliang Zhuang
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Mengmeng Li
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Yi Luo
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
Runqi Zhao
School of Atmospheric Sciences, Nanjing University, Nanjing 210023,
China
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- Source apportionment and health-risk assessment of PM2.5-bound elements in indoor/outdoor residential buildings in Chinese megacities W. Ji et al. 10.1016/j.buildenv.2024.112250
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- Impacts of uncertainties in Chinese NH3 emissions on PM2.5 concentrations over mainland China and downwind regions H. Choe et al. 10.1016/j.envpol.2025.127159
- Analysis of aerosol chemical components and source apportionment during a long-lasting haze event in the Yangtze River Delta, China Z. Peng et al. 10.1016/j.jes.2024.06.023
- A Spatiotemporal graph attention network for PM2.5 forecasting using multi-source data J. Wu et al. 10.1007/s11869-025-01818-0
- Study on aerosols and BC cross-layer transport at the top of the planetary boundary layer based on aircraft observations in autumn over the North China Plain K. Cui et al. 10.1016/j.atmosenv.2025.121244
- Cost-Effectiveness of NOX and VOC Co-operative Controls for PM2.5 and O3 Mitigation in the Context of China’s Carbon Neutrality Z. Liu et al. 10.1021/acs.estlett.3c00649
- A study on the impact of meteorological and emission factors on PM2.5 concentrations based on machine learning C. Zhao et al. 10.1016/j.jenvman.2025.124347
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- Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam L. Bui et al. 10.1007/s44273-025-00060-5
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- Impacts of the East Asia monsoon on the PM2.5 acidity in Hanoi P. Hien et al. 10.1016/j.apr.2024.102304
- Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach N. Chen et al. 10.1016/j.envpol.2025.126448
- 武汉城市圈人为源排放PM<sub>2.5</sub>高分辨率清单估算及时空演变 . Deliang CHEN et al. 10.3799/dqkx.2025.169
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- High spatial-resolved source-specific exposure and risk in the city scale: Influence of spatial interrelationship between PM2.5 sources and population on exposure X. Feng et al. 10.1016/j.scitotenv.2024.171873
- Chemical composition, source distribution and health risk assessment of PM2.5 and PM10 in Beijing S. Zhen et al. 10.1016/j.apr.2025.102448
- Chemical composition, source apportionment and formation mechanisms of PM2.5 in urban and background areas of northwestern China K. Cheng et al. 10.1016/j.apr.2025.102734
- Characterization and Source Analysis of Water-Soluble Ions in PM2.5 at Hainan: Temporal Variation and Long-Range Transport X. Xu et al. 10.3390/toxics13090804
- Particle-ozone complex pollution under diverse synoptic weather patterns in the Yangtze River Delta region: Synergistic relationships and the effects of meteorology and chemical compositions Y. Zhan et al. 10.1016/j.scitotenv.2024.174365
- Significant contribution of primary brown carbon to the light absorption at Delhi, India: An implication for incomplete oxidation A. Pipal et al. 10.1016/j.apr.2025.102722
25 citations as recorded by crossref.
- Chemical composition, sources and formation mechanism of urban PM2.5 in Southwest China: a case study at the beginning of 2023 J. Zhang et al. 10.5194/acp-24-2803-2024
- Dynamic patterns of particulate matter concentration and size distribution in urban street canyons: insights into diurnal and short-term seasonal variations X. Wang et al. 10.1007/s10661-024-13104-0
- Source apportionment and health-risk assessment of PM2.5-bound elements in indoor/outdoor residential buildings in Chinese megacities W. Ji et al. 10.1016/j.buildenv.2024.112250
- Seasonal variations of amines in PM2.5 in a coastal city of southeastern China: Formation mechanisms and sources N. Chen et al. 10.1016/j.atmosenv.2025.121409
- Impacts of uncertainties in Chinese NH3 emissions on PM2.5 concentrations over mainland China and downwind regions H. Choe et al. 10.1016/j.envpol.2025.127159
- Analysis of aerosol chemical components and source apportionment during a long-lasting haze event in the Yangtze River Delta, China Z. Peng et al. 10.1016/j.jes.2024.06.023
- A Spatiotemporal graph attention network for PM2.5 forecasting using multi-source data J. Wu et al. 10.1007/s11869-025-01818-0
- Study on aerosols and BC cross-layer transport at the top of the planetary boundary layer based on aircraft observations in autumn over the North China Plain K. Cui et al. 10.1016/j.atmosenv.2025.121244
- Cost-Effectiveness of NOX and VOC Co-operative Controls for PM2.5 and O3 Mitigation in the Context of China’s Carbon Neutrality Z. Liu et al. 10.1021/acs.estlett.3c00649
- A study on the impact of meteorological and emission factors on PM2.5 concentrations based on machine learning C. Zhao et al. 10.1016/j.jenvman.2025.124347
- Changes in source-specific health risks of PM2.5-bound trace elements after the residential “coal-to-gas” conversion measure in urban Beijing W. Yuan et al. 10.1016/j.jes.2025.10.019
- Seasonal chemical characteristics and formation of potential secondary aerosols of a remote area in South Korea using an oxidation flow reactor S. Kang et al. 10.1016/j.atmosenv.2025.121216
- Has the Construction of National Intellectual Property Model Cities Reduced PM2.5 Concentration and Standard Deviation? New Evidence from Counties in China Y. Wang et al. 10.3390/su17188467
- Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam L. Bui et al. 10.1007/s44273-025-00060-5
- Temporal variations in black carbon in the Yangtze River Delta of China: Long-term observations and trends under different pollution processes J. Ren et al. 10.1016/j.atmosres.2025.108067
- Impacts of the East Asia monsoon on the PM2.5 acidity in Hanoi P. Hien et al. 10.1016/j.apr.2024.102304
- Quantifying regional transport contributions to PM2.5-bound trace elements in a southeast coastal island of China: Insights from a machine learning approach N. Chen et al. 10.1016/j.envpol.2025.126448
- 武汉城市圈人为源排放PM<sub>2.5</sub>高分辨率清单估算及时空演变 . Deliang CHEN et al. 10.3799/dqkx.2025.169
- Insight into the diurnal variations and potential sources of ambient PM2.5-bound polycyclic aromatic hydrocarbons during spring in Northern Taiwan Y. Chen et al. 10.1016/j.jhazmat.2024.134977
- High spatial-resolved source-specific exposure and risk in the city scale: Influence of spatial interrelationship between PM2.5 sources and population on exposure X. Feng et al. 10.1016/j.scitotenv.2024.171873
- Chemical composition, source distribution and health risk assessment of PM2.5 and PM10 in Beijing S. Zhen et al. 10.1016/j.apr.2025.102448
- Chemical composition, source apportionment and formation mechanisms of PM2.5 in urban and background areas of northwestern China K. Cheng et al. 10.1016/j.apr.2025.102734
- Characterization and Source Analysis of Water-Soluble Ions in PM2.5 at Hainan: Temporal Variation and Long-Range Transport X. Xu et al. 10.3390/toxics13090804
- Particle-ozone complex pollution under diverse synoptic weather patterns in the Yangtze River Delta region: Synergistic relationships and the effects of meteorology and chemical compositions Y. Zhan et al. 10.1016/j.scitotenv.2024.174365
- Significant contribution of primary brown carbon to the light absorption at Delhi, India: An implication for incomplete oxidation A. Pipal et al. 10.1016/j.apr.2025.102722
Latest update: 31 Oct 2025
Short summary
Although the main source contribution of pollution is secondary inorganic aerosols in Nanjing, health risks mainly come from industry sources and vehicle emissions. Therefore, the development of megacities should pay more attention to the health burden of vehicle emissions, coal combustion, and industrial processes. This study provides new insight into assessing the relationship between source apportionment and health risks and can provide valuable insight into air pollution strategies.
Although the main source contribution of pollution is secondary inorganic aerosols in Nanjing,...
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