Abstract
Air pollution is a regional issue, influenced not only by local emission sources but also by regional transport. This study excavated the pollution variation of PM2.5 and O3 from 2014 to 2020 through statistical analysis in the megacity-Chengdu. Then, based on backward trajectory calculation and trajectory clustering, the long-term air mass transport pathways were explored, and the Potential Source Contribution Function (PSCF) model and Concentration Weighted Trajectory (CWT) analysis method were combined to further quantitatively identify the potential source areas affecting PM2.5 and O3 from an annual perspective. Finally, suggestions and measures for synergistic control of O3 and PM2.5 are put forward. The results showed that the CWT simulation results were basically consistent with the PSCF simulations, and there were significant inter-annual differences in the potential contributing source areas of pollutants. PM2.5 and O3 concentrations are not only affected by local source emissions, but regional transport (Chongqing, Lanzhou, Xi’an) is also an important source of contribution. In addition, the proportion of PM2.5 pollution trajectories decreased from 30% in 2015 to 12% in 2020, while the proportion of O3 pollution trajectories fluctuated. This study provides more detailed information on potential source regions of pollutants in typical megacities, better captures their spatial heterogeneity, and highlights the role of local sources and transboundary transport. More importantly, it also accumulated some experience for regional joint prevention and control air pollution in China’s megacities and other similar situations in the world.
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(Source: Zhao et al. 2019)
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Data availability
Data openly available in a public repository.
Abbreviations
- SCB:
-
Sichuan Basin
- VOCs:
-
volatile organic compounds
- WHO:
-
World Health Organization
- GDAS:
-
global data assimilation system
- MEIC:
-
Multi-resolution Emission Inventory for China
- PSCF:
-
Potential Source Contribution Function
- CWT:
-
Concentration Weighted Trajectory
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Acknowledgements
The authors would like to acknowledge Xichang University, Sichuan Province, China; Department of Chemical and Environmental Engineering, Faculty of Engineering, University Putra Malaysia for assistance and help in supporting to the writing of this article.
Funding
This work was supported by the National Natural Science Foundation, China [grant numbers: 41967033]; the Municipal research project of Xichang Sichuan Province, China [grant numbers: 18JSYJ09]; the scientific research project of Xichang University, China [grant numbers: YBZ202125/117281361]; and the Project of Sichuan Meteorological Disaster Forecasting, Early Warning and Emergency Management Research Center, Sichuan Province, China [grant numbers: ZHYJ21-YB08].
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Highlights
• External contributions were assessed by backtracking trajectory model.
• Transport contributions and potential areas from multiple directions were quantified.
• Spatial heterogeneities emphasized the contribution of local sources and regional transport.
• Synergistic emission reduction of precursors of PM 2.5 and O 3 is particularly urgent.
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Li, X., Abdullah, L.C., Sobri, S. et al. Characteristics of air pollution variation and potential source contributions of typical megacities in the Sichuan Basin, Southwest China. Air Qual Atmos Health 17, 641–660 (2024). https://doi.org/10.1007/s11869-023-01466-2
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DOI: https://doi.org/10.1007/s11869-023-01466-2