A Comparison of Machine Learning-Based Approaches in Estimating Surface PM_2.5 Concentrations Focusing on Artificial Neural Networks and High Pollution Events

Surface PM_2.5 concentrations have significant implications for human health, necessitating accurate estimations. This study compares various machine learning models, including linear models, tree-based algorithms, and artificial neural networks (ANNs) for estimating PM<sub&...

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Bibliographic Details

Published in:	Atmosphere
Main Authors:	Shijin Wei, Kyle Shores, Yangyang Xu
Format:	Article
Language:	English
Published:	MDPI AG 2025-01-01
Subjects:	machine learning air quality artificial neural network MERRA-2 reanalysis high pollution events
Online Access:	https://www.mdpi.com/2073-4433/16/1/48