Estimation of surface particulate matter (PM2.5 and PM10) mass concentration by multivariable linear and nonlinear models using remote sensing data and meteorological variables over Ahvaz, Iran

Estimation of surface particulate matter (PM2.5 and PM10) mass concentration by multivariable linear and nonlinear models using remote sensing data and meteorological variables over Ahvaz, Iran

Increased dust and air pollution in the Middle East over the past two decades has caused many problems, including human health risks and environmental hazards. Concentrations of surface Particulate Matter (PM2.5 and PM10) have always been considered as important indicators in assessing air pollution...

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Bibliographic Details
Main Authors: Maryam Gharibzadeh, Abbas Ranjbar Saadat Abadi
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:Atmospheric Environment: X
Subjects:
PM10
PM2.5
AOD
Meteorological parameters
Multivariable linear regressions
Multivariable nonlinear regression model
Online Access:http://www.sciencedirect.com/science/article/pii/S2590162122000211

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http://www.sciencedirect.com/science/article/pii/S2590162122000211

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