Prediction of PM2.5 hourly concentrations in Beijing based on machine learning algorithm and ground-based LiDAR

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...

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Bibliographic Details
Main Authors: Zhiyuan Fang, Hao Yang, Cheng Li, Liangliang Cheng, Ming Zhao, Chenbo Xie
Format: Article
Language:English
Published: Polish Academy of Sciences 2021-09-01
Series:Archives of Environmental Protection
Subjects:
pm2.5
lidar
machine learning
air pollution monitoring
Online Access:https://journals.pan.pl/Content/120756/Archives%203_vol47_2021_pp98_107.pdf

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