Comparative Analysis of Predictive Models for Fine Particulate Matter in Daejeon, South Korea

Comparative Analysis of Predictive Models for Fine Particulate Matter in Daejeon, South Korea

Air pollution is a critical problem that is of major concern worldwide. South Korea is one of the countries most affected by air pollution. Rapid urbanization and industrialization in South Korea have induced air pollution in multiple forms, such as smoke from factories and exhaust from vehicles. In...

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Bibliographic Details
Main Authors: Tserenpurev Chuluunsaikhan, Menghok Heak, Aziz Nasridinov, Sanghyun Choi
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Atmosphere
Subjects:
air pollution
deep learning
fine particulate matter
machine learning
predictive models
Online Access:https://www.mdpi.com/2073-4433/12/10/1295

Internet

https://www.mdpi.com/2073-4433/12/10/1295

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