Diurnal trend of particulate matter concentration at industrial area using multivariate analysis

Ali Najah Ahmed; Samsuri Abdullah; Marzuki Ismail; Amalina Abu Mansor; Nur Nazmi Liyana Mohd Napi

Diurnal trend of particulate matter concentration at industrial area using multivariate analysis

2022

Ali Najah Ahmed | Samsuri Abdullah | Marzuki Ismail | Amalina Abu Mansor | Nur Nazmi Liyana Mohd Napi

Particulate matter is a dominant air pollutant in Malaysia and it is a major emission that has caused many respiratory problems. In this study, the influence of trace gases and meteorological parameters with particulate matter that has an aerodynamic diameter of less than 10 µm (PM₁₀) were investigated. Simple linear regression was used to analyse the strength of trace gases and meteorological parameters with PM₁₀, while the Principal Component Analysis (PCA) was used to determine the sources of air pollution. The average concentration of PM₁₀ for a year (January 2010 to December 2010) in Pasir Gudang was 56.567 µg/m³ ,which exceeded the New Ambient Air Quality Standards and international guidelines. The highest mean daily was recorded at 9 a.m (LT) (63.644 µg/m³), while the lowest was at 11 p.m. (LT) (31.44 µg/m³) (12-60 µg/m³). PM₁₀ concentrations are significantly correlated with SO₂ (R²=0.0302, p<0.01), CH₄ (R2=0.0817, p<0.01), RH (R²= 0.0581, p<0.01), NOx (R²=0.1118, p<0.01) and NO (R²=0.0786, p<0.01). The major sources of PM₁₀ are traffic combustion at 35.505%, followed by meteorological factors at 28.972% and traces gases from industry, such as SO₂ and NOx, at 11.009%.

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