Simulation of Long Time Series Spatial Distribution of PM2.5 in Beijing-Tianjin-Hebei Region Based on an Improved Machine Learning Method

The Beijing-Tianjin-Hebei (BTH) region has long been facing serious fine particulate matter (PM2.5) pollution issues due to its geographical characteristics and industrial structure. In this study, we innovatively integrated STL-derived seasonal-trend parameters to replace the conventional time vari...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Zheyuan Zhang, Huayang Song, Guang Tian, Hongyu Zhang, Jia Wang, Nina Xiong
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Aerosol optical depth (AOD) machine learning fine particulate matter (PM2.5) spatiotemporal distribution
Online Access:	https://ieeexplore.ieee.org/document/11141525/