Determination of Input variables for Artificial Intelligence Models to predict the High PM2.5 concentration events in Seoul, Korea
Author:
Funder
Ministry of Education
National Institute of Environmental Research
Publisher
Springer Science and Business Media LLC
Subject
Atmospheric Science
Link
https://link.springer.com/content/pdf/10.1007/s13143-023-00333-5.pdf
Reference44 articles.
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3. Bi, J., Huang, J., Hu, Z., Holben, B.N., Guo, Z.: Investigating the aerosol optical and radiative characteristics of heavy haze episodes in Beijing during January of 2013. J. Geophys. Res.: Atmos. 119(16), 9884–9900 (2014). https://doi.org/10.1002/2014JD021757
4. Chen, Z., Chen, D., Zhao, C., Kwan, M. P., Cai, J., Zhuang, Y., ... Xu, B.: Influence of meteorological conditions on PM2.5 concentrations across China: A review of methodology and mechanism. Environ. Int., 139, 105558. (2020). https://doi.org/10.1016/j.envint.2020.105558
5. Dole, R.M., Gordon, N.D.: Persistent anomalies of the extratropical Northern Hemisphere wintertime circulation: geographical distribution and regional persistence characteristics. Mon. Wea. Rev. 111, 1567–1586 (1983). https://doi.org/10.1175/1520-0493(1983)111/3c1567:PAOTEN/3e2.0.CO;2
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