Forecasting of particulate matter (PM0) concentration by ultilizing PCR and MLR two different locations in Kelantan

Abstract

Air quality is one of the most important indicators to evaluate the country's environment quality. However, the air pollution issue is rising due to the uncontrolled chemical gases release from the industrial area, burning of fossil fuels, forest fires and motor vehicles. One of the pollutants is PM10. PM1 o is the particulate matter that can be found in air which the aerodynamic diameter is less than 1 Oµm. PM10 is the major pollutant in Malaysia especially in Kelantan known to gives significant impact to human and environment. The aim of this study is to forecast daily average of PM 10 concentration by utilizing Principal Component Regression (PCR) and Multiple Linear Regression (MLR). This study focused on the trend of PM 10 concentration for 4 years starting on January 2011 until December 2014, select the significant factors that influence PM10 concentrations (meteorological and gaseous pollutant factors) and establish PM10 concentration by utilizing PCR and MLR. It was conducted at two sites in Kelantan which having different background activities of urban and industrial. Secondary data of PM1 o concentration, meteorological and also gaseous pollutants was acquired from Malaysian Department of Environment (DOE).