A very important part of the air quality management process is looking at the contribution of various sources to pollution (commonly measured as mass over volume) – an entity different from emissions (commonly measured as mass over time). The process of converting emissions to concentrations is achieved through dispersion modeling. There are a number of dispersion modeling with varying degree of c...

This work investigated the incremental excess of the composition and source contribution to PM2.5 in two sites near Bogotá, using the Chemical Mass Balance receptor model with organic molecular markers, and back trajectory analysis. Simultaneous sample collection was carried out for two-months....

Source contributions to OC were calculated using organic molecular markers and a chemical mass balance (CMB) receptor model. The four combustion sources identified were wood smoke, diesel engine emission, gasoline vehicles, and natural gas....

Characterization of the chemical composition and the source apportionment of PM10 at an urban background site in Bogota was carried out in this study. By using a PMF model, six factors were identified (∼96% PM10) including fugitive dust, road dust, metal processing, secondary PM, vehicles exhaust and industrial emissions. Traffic (exhaust emissions + road dust) was the major PM10 source, accountin...

This report presents the results of a monitoring campaign in the Metropolitan Area of Monterrey (MMA) aiming to study the chemical composition of particulate matter, in order to identify key contributing sectors. The Metropolitan Area of Monterrey, with its significant commercial and industrial activities, faces public health and environmental challenges due to high PM2.5 levels from various sourc...

Road dust (RD) resuspension is one of the main sources of particulate matter in cities with adverse impacts on air quality, health, and climate. Studies on the variability of the deposited PM10 fraction of RD (RD10) have been limited in Latin America, whereby our understanding of the central factors that control this pollutant remains incomplete. In this study, forty-one RD10 samples were collecte...

This lecture focuses on the basics of air quality modelling, and its components. The lecture also includes the different types of air quality models....

This lecture explains the Gaussian dispersion model for a point source, its derivation, and the estimation of parameters of the Gaussian plume equation....

This lecture briefly describes the Gaussian dispersion model for line source and area source, their assumptions, derivation, and examples....

This lecture presents the practice examples on the determination of concentration of pollutants from point, line, and area sources using the Gaussian dispersion model....