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.

Categories: Ozon, Udara
Tags: Artikel Jurnal, Data Penerbitan, Sulit