Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia
Date
2014
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
This study aimed to predict monthly columnar ozone (O3) in Peninsular Malaysia by using data on the concentration of environmental pollutants. Data (2003-2008) on five atmospheric pollutant gases (CO2, O3, CH4, NO2, and H2O vapor) retrieved from the satellite Scanning Imaging Absorption Spectrometer for Atmospheric Chartography (SCIAMACHY) were employed to develop a model that predicts columnar ozone through multiple linear regression.
Description
Keywords
Ozone, Regression, SCIAMACHY, Peninsular Malaysia
Citation
Tan, K. C., Lim, H. S., & Mat Jafri, M. Z. (2014). Multiple regression analysis in modeling of columnar ozone in Peninsular Malaysia. Environmental science and pollution research, 21, 7567-7577.