Trend Detection and Modelling The Changes of Ground Level Ozone

Abstract

Air pollution is one of the world's most pressing environmental challenges, mainly when industrial and urban regions develop rapidly. One of the air pollutants that concern humans and the environment is the increase in ozone concentration. This study aims to identify the trend between ground-level ozone with parameters of meteorological factors and to evaluate the best-fitted model in urban areas, Cheras, Kuala Lumpur, from 2004 to 2020. Boxplot and Mann Kendall Test are used to define the availability of trends at each parameter, while the generalized additive model (GAM) is used as the analytical model. Based on the result, there is a trend for ozone and temperature. In GAM, temperature shows significant (p<2e-16) to ozone concentrations, and using the performance indicator (AIC, BIC, R square), the first model is chosen, including temperature and humidity, because of the better performance. The findings show that meteorological factors control the changes of ozone concentration in urban areas.