PM2.5 concentration prediction using machine learning algorithms: an approach to virtual monitoring stations

Abstract One of the most important pollutants is PM2.5, which is particularly important to monitor pollutant levels to keep the pollutant concentration under control. In this research, an attempt has been made to predict the concentrations of PM2.5 using four Machine Learning (ML) models. The ML met...

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Bibliographic Details

Published in:	Scientific Reports
Main Authors:	Ahmad Makhdoomi, Maryam Sarkhosh, Somayyeh Ziaei
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-03-01
Subjects:	Particulate matter Machine learning models Meteorological data PM2.5 prediction
Online Access:	https://doi.org/10.1038/s41598-025-92019-3