Daily PM2.5 concentration prediction based on variational modal decomposition and deep learning for multi-site temporal and spatial fusion of meteorological factors
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10661-024-13005-2.pdf
Reference46 articles.
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3. Chen, G., Li, S., Knibbs, L. D., Hamm, N. A. S., Cao, W., & Li, T. (2018a). A machine learning method to estimate PM2.5 concentrations across China with remote sensing, meteorological and land use information. Science of the Total Environment, 636, 52–60.
4. Chen, Z.-Y., Zhang, T.-H., Zhang, R., Zhu, Z.-M., Ou, C.-Q., & Guo, Y. (2018b). Estimating PM2.5 concentrations based on non-linear exposure-lag-response associations with aerosol optical depth and meteorological measures. Atmospheric Environment, 173, 30–37.
5. Chen, Y., Huang, L., Xie, X., Liu, Z., & Hu, J. (2024). Improved prediction of hourly PM(2.5) concentrations with a long short-term memory and spatio-temporal causal convolutional network deep learning model. Science of the Total Environment, 912, 168672.
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