Spatial Prediction of PM2.5 in Beijing Using the Machine Learning
*Bin Guo (Southwestern University of Finance and Economics) firstname.lastname@example.org
In this study, we used the outputs of Community Multi-scale Air Quality Modeling (CMAQ) system, Aerosol Optical Depth (AOD) and the weather information to forecast the PM2.5 concentration in Beijing. We compare the Linear Regression, SVM, Random Forest et al. Machine learning methods in this study. The machine learning methods show promising performances.