Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM<sub>2.5</sub> Concentrations: A Case Study in Dezhou City, China

Comparative Analysis of Multiple Deep Learning Models for Forecasting Monthly Ambient PM<sub>2.5</sub> Concentrations: A Case Study in Dezhou City, China

Ambient air pollution affects human health, vegetative growth and sustainable socio-economic development. Therefore, air pollution data in Dezhou City in China are collected from January 2014 to December 2023, and multiple deep learning models are used to forecast air pollution PM<sub>2.5</...

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Bibliographic Details
Main Authors: Zhenfang He, Qingchun Guo
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Atmosphere
Subjects:
PM<sub>2.5</sub>
deep learning
artificial neural network
long short-term memory
convolutional neural network
gate recurrent unit
Online Access:https://www.mdpi.com/2073-4433/15/12/1432
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