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This thesis developed novel statistical modelling methods to quantify airborne gaseous and particle concentrations and their source contribution in an urban area; in particular, developed a novel Land Use Regression (LUR) model for predicting the daily average concentration of airborne gaseous concentrations, a novel Bayesian modelling approach to quantify airborne ultrafine particle source contribution, and a geostatistical modelling approach for quantifying spatial concentrations of airborne pollutants. Besides, nighttime new particle formation mechanism and their physical properties have been investigated for the first time. The findings have applications in urban planning and management as well as in epidemiological studies

Investigations into source contributions and spatial distribution of airborne pollutants in an urban airshed by the development and application of advanced statistical models