Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR
The prediction of PM2.5 is important for environmental forecasting and air pollution control. In this study, four machine learning methods, ground-based LiDAR data and meteorological data were used to predict the ground-level PM2.5 concentrations in Beijing. Among the four methods, the random forest...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Polish Academy of Sciences
2021-09-01
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Series: | Archives of Environmental Protection |
Subjects: | |
Online Access: | https://journals.pan.pl/Content/120756/Archives%203_vol47_2021_pp98_107.pdf |