A novel approach for forecasting PM2.5 pollution in Delhi using CATALYST
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-12020-z.pdf
Reference57 articles.
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2. Chang, Q., Zhang, H., & Zhao, Y. (2020). Ambient air pollution and daily hospital admissions for respiratory system–related diseases in a heavy polluted city in Northeast China. Environmental Science and Pollution Research, 27(9), 10055–10064. https://doi.org/10.1007/s11356-020-07678-8
3. Chen, X., Yin, L., Fan, Y., Song, L., Ji, T., Liu, Y., Tian, J., & Zheng, W. (2020). Temporal evolution characteristics of PM2.5 concentration based on continuous wavelet transform. Science of the Total Environment, 699, 134244. https://doi.org/10.1016/j.scitotenv.2019.134244
4. Chu, J., Dong, Y., Han, X., Xie, J., Xu, X., & Xie, G. (2021). Short-term prediction of urban PM2.5 based on a hybrid modified variational mode decomposition and support vector regression model. Environmental Science and Pollution Research, 28(1), 56–72. https://doi.org/10.1007/s11356-020-11065-8
5. Cusworth, D. H., Mickley, L. J., Sulprizio, M. P., Liu, T., Marlier, M. E., DeFries, R. S., Guttikunda, S. K., & Gupta, P. (2018). Quantifying the influence of agricultural fires in northwest India on urban air pollution in Delhi, India. Environmental Research Letters, 13(4), 044018. https://doi.org/10.1088/1748-9326/aab303
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