Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth

Predicting PM10 Concentrations Using Evolutionary Deep Neural Network and Satellite-Derived Aerosol Optical Depth

Predicting particulate matter with a diameter of 10 μm (PM10) is crucial due to its impact on human health and the environment. Today, aerosol optical depth (AOD) offers high resolution and wide coverage, making it a viable way to estimate PM concentrations. Recent years have also witnessed in-creas...

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Bibliographic Details
Main Authors: Yasser Ebrahimian Ghajari, Mehrdad Kaveh, Diego Martín
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
PM10
air pollution
remote sensing
aerosol optical depth
deep neural network
novel binary gray wolf optimizer
Online Access:https://www.mdpi.com/2227-7390/11/19/4145

Internet

https://www.mdpi.com/2227-7390/11/19/4145

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