Spatial Analysis of the Air Pollutant Index in the Southern Region of Peninsular Malaysia Using Environmetric Techniques

摘要: Air pollution is becoming a major environmental issue in the southern region of Peninsular Malaysia. Environmetric techniques (HACA, DA, and PCA/FA) were used to evaluate spatial variations Malaysia, followed by API prediction comparison using ANN MLR models. The datasets air pollutant parameters for 3 years (2005–2007) applied this study. HACA clustered three different groups similarity based on characteristics quality parameters. DA shows all seven (CO, O3, PM10, SO2, NOx, NO, NO2) gave most significant variables after stepwise backward mode. PCA/FA identify that source due combustion fossil fuels motor vehicles industrial activities. model better compared with R2 values equal 0.819 0.773 respectively. This study concluded environmetric modelling become an excellent tool assessment, identification, apportionment, interpretation complex dataset view get information about quality, can be setbacks designing monitoring network effective resources management.