Ozone Suppression Classification Model in Klang Valley

Authors

  • Ng Tin Yee, Zulaiha Ali Othman, Ghassan Saleh Al-Dharhani

Abstract

 Air pollution is a major issue at this time and age. Ozone (O3) pollution has become a concern.  High exposure of O3 can lead to health problems as well as negatively impact the environment and the ecosystem. Generally, O3 concentration has a linear relationship with temperature. However, at extremely high temperatures O3 concentration will start to plateau and drop while temperature continues to increase. This phenomenon is known as ozone suppression. This paper aims to produce a classifier model for ozone suppression. Air quality data is obtained from the Department of Environment. Four stations were selected in the Klang Valley, namely: Batu Muda, Cheras, Klang, and Nilai. The data was extracted and cleaned by Stineman's interpolation technique. The data consists of cases from 2005 to 2016. The selected attributes are O3, temperature, CO, NOx, NO, NO2, wind speed and wind direction. Clean data is then run through ozone suppression extraction. Several classification methods are tested and compared on each station to predict ozone suppression. From the results, decision rule and decision tree techniques achieved the best performance.

Published

2020-02-29

Issue

Section

Articles