The assessment of ambient air pollution pattern in Shah Alam, Selangor, Malaysia

Abstract

This study implements the statistical analysis to establish the association between air pollution
trends with the industrial activities in Shah Alam, Selangor. PCA used to identify most
significant parameters contributing to air pollution and it sources of pollutions, whereas SPC
used to determine the pattern and contribution each of most significant pollutants in the study
area and Spearman Correlation used to determine the relationship between air pollutants and meteorological factors. The result identified the major possible sources of air pollution were 38.3% and 32.46% of total variance. The patterns for most significant parameters mo
exceeding RMAAQG from 2009 to 2011 and has improved starting 2012. It also found
correlation between air pollutants and meteorological was significantly low. Thus, it concluded that pollution in Shah Alam was due to high combustion and emission from vehicles.

Keywords: principal component analysis; statistical process control; spearman correlation; air
pollution trends.