The Relationship between PM2.5 and PM10 in Central Italy: Application of Machine Learning Model to Segregate Anthropogenic from Natural Sources

The Relationship between PM2.5 and PM10 in Central Italy: Application of Machine Learning Model to Segregate Anthropogenic from Natural Sources

Particular Matter (PM) data are the most used for the assessment of air quality, but it is also useful to monitor VOC and CO. The health impact of PM increases with decreasing aerodynamic dimensions, therefore most of the monitoring is aimed at PM10 (fraction of PM with aerodynamic dimensions smalle...

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Bibliographic Details
Main Authors: Carlo Colangeli, Sergio Palermi, Sebastiano Bianco, Eleonora Aruffo, Piero Chiacchiaretta, Piero Di Carlo
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Atmosphere
Subjects:
PM10
PM2.5
machine learning
aerosol
neural network
forecast
Online Access:https://www.mdpi.com/2073-4433/13/3/484

Internet

https://www.mdpi.com/2073-4433/13/3/484

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