N.I.M. Hashim, N.M. Noor, S. Annas
Haze has become a major concern as it has a significant impact over Malaysia. This haze arises by uncontrolled fires from the land clearing activity in some of the areas in asian countries that builds up during the dry season. During these periods, particulate matter (PM10) was found out as the major pollutant. PM10 is an air pollutant consisting of a mixture of solid and liquid particles suspended in the air where it will affect harmful to human health and environment. In this study, an analysis during the haze phenomena will be performed using PM10 concentration from three areas which are Klang, Muar and Seremban in 2004, 2005, 2006 and 2009. From the study, the highest PM10 concentration was observed in 2005 (Klang) with the value of 994?μg/m3 compared with others place. Then, the Multiple Linear Regression (MLR) and combination with Principle Component Analysis (PCA) and MLR are conducted. From the analysis, the PCA-MLR is better than the MLR model due to the less calculated error and better-fitted model between the predicted and the observed. © 2018 Author(s).
School of Environmental Engineering, Universiti Malaysia Perlis, Kompleks Pengajian Jejawi 3, Arau, Perlis, 02600, Malaysia; Centre of Excellence Geopolymer and Green Technology (CEGeoGTech), Universiti Malaysia Perlis (UniMAP), Arau, Perlis, 02600, Malaysia; Department of Statistics, Faculty of Mathematics and Natural Sciences, State University of Makassar, Indonesia
