The aim of this study is to assess the best prediction model for O3 concentration
which is Multiple Linear Regression (MLR) and Principle Component Regression
(PCR). Data from2012 to 2014 were used including O3, nitrogen dioxide (NO2),
nitrogen oxide (O2), temperature, relative humidity and wind speed on hourly
basis. Principle Component Analysis (PCA) was used in order to reduce
multicollinearity problem, prior to the implementation of MLR. The hybrid
model of PCR was selected as best -fitted models as it had higher correlation
coefficient, R2 values compared with MLR model.

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