Two years of diurnal concentration of particulate matter (PM10) and nitrogen
dioxide with the addition of relative humidity measurement, collected from
Putrajaya, Malaysia’s ground-based measurement station from January 2014
to December 2015, were analysed. K-means clustering was employed and
optimal clusters of four were identified for each year based on the most
suggested number of clusters from internal cluster validation measures of the
total within sum of square, silhouette index and gap statistics. Each cluster was
then profiled where each mean pollutant sub-indices were calculated and the
contributing pollutant to the air pollution index (API) was determined by
looking at the maximum value from all sub-indices. This mechanism closely
follows the Recommended Malaysian Air Quality Guidelines (RMG) for
determining API.

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