A Comparison of Machine Learning-Based Approaches in Estimating Surface PM<sub>2.5</sub> Concentrations Focusing on Artificial Neural Networks and High Pollution Events

A Comparison of Machine Learning-Based Approaches in Estimating Surface PM<sub>2.5</sub> Concentrations Focusing on Artificial Neural Networks and High Pollution Events

Surface PM<sub>2.5</sub> 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
Main Authors: Shijin Wei, Kyle Shores, Yangyang Xu
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Atmosphere
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
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