Stationary and Non-Stationary Models of Extreme Ground-Level Ozone in Peninsular Malaysia

High ground-level ozone (GLO) concentrations will adversely affect human health, vegetations as well the ecosystem. Therefore, continuous monitoring for GLO trends is a good practice to address issues related air quality based on high of GLO. The purpose this study introduce stationary and non-stationary model extreme method applied 25 selected stations in Peninsular Malaysia. maximum daily concentration data over 8 hours from year 2000 2016 are used. factors distribution anticipated using likelihood estimation. A comparison between (constant model) (linear cyclic performed ratio test (LRT). LRT larger value deviance statistics compared chi-square providing significance evidence either there linear trend or trend. best fit models tested by Akaike's Information Criterion. results show that conform model, with 14 showing significant improvement location parameter while 11 follow model. This important identify phenomenon better risk management.