Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques

Predicting PM2.5 levels over the north of Iraq using regression analysis and geographical information system (GIS) techniques

Particulate matter (PM2.5) concentrations are a serious human health concern and global models are the common methods for PM2.5 particle estimation disregarding the local changes and factors. In this study, a polynomial model for PM2.5 particles prediction was proposed to examine the correlations am...

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Bibliographic Details
Main Authors: Hussein Habeeb Hamed, Huda Jamal Jumaah, Bahareh Kalantar, Naonori Ueda, Vahideh Saeidi, Shattri Mansor, Zainab Ali Khalaf
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:Geomatics, Natural Hazards & Risk
Subjects:
pm2.5
pm10
polynomial model
meteorological parameters
health impact
Online Access:http://dx.doi.org/10.1080/19475705.2021.1946602

Internet

http://dx.doi.org/10.1080/19475705.2021.1946602

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