Determining Effective Factors Regarding Weather and Some Types of Air Pollutants in Seasonal Changes of PM10 Concentration Using Tree-Based Algorithms in Yazd City

Introduction: This study was carried out with the aim of determining weather parameters and air pollutants affecting seasonal changes of particulate matter of less than 10 microns (PM10) in Yazd city using Random Forest (RF) and extreme gradient boosting (Xgboost) models. Materials and Methods: The...

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Bibliographic Details

Published in:	Journal of Environmental Health and Sustainable Development
Main Authors:	Zohre Ebrahimi-Khusfi, Mohsen Ebrahimi-Khusfi, Ali Reza Nafarzadegan, Mojtaba Soleimani-Sardo
Format:	Article
Language:	English
Published:	Shahid Sadoughi University of Medical Sciences 2024-03-01
Subjects:	air pollution particulate matter dust machine learning random forest.
Online Access:	http://jehsd.ssu.ac.ir/article-1-670-en.pdf