About this document

Estimation of PM25 Concentration Across China Base by bishwadipmaitra50 is a document available to read on EtoBox.

This study focuses on estimating PM2.5 concentrations across China using multi-source remote sensing data and machine learning methods, particularly a random forest regression model and long short-term memory neural network. The research highlights the uneven distribution of ground monitoring stations in China and the need for accurate PM2.5 predictions for effective air pollution control. The selected random forest model achieved a high prediction accuracy (R2 = 0.93) and identified various factors influen

Author

bishwadipmaitra50

Language

EN