Application of machine learning algorithms to PM2.5 concentration analysis in the state of São Paulo, Brazil

Application of machine learning algorithms to PM2.5 concentration analysis in the state of São Paulo, Brazil

Air quality monitoring data are useful in different areas of research and have varied applications, especially with a focus on the relationship between air pollution, respiratory problems, and other health hazards. The main atmospheric pollutants are: ozone (O3), sulfur dioxide (SO2), carbon monoxid...

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Bibliographic Details
Main Authors: Angela Rosa Locateli Godoy, Ana Estela Antunes da Silva, Mirelle Candida Bueno, Simone Andréa Pozza, Guilherme Palermo Coelho
Format: Article
Language:English
Published: Associação Brasileira de Engenharia Sanitária e Ambiental 2021-02-01
Series:Revista Brasileira de Ciências Ambientais
Subjects:
air pollutants; particulate matter; clustering; association rules; air quality; respiratory diseases.
Online Access:http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/782

Internet

http://rbciamb.com.br/index.php/Publicacoes_RBCIAMB/article/view/782

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