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Showing 1-1480 of 1657 Results
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Primer on Pollution Source Apportionment

Building an effective air pollution control plan requires information of the contribution of various sources. This is not an easy or a quick process, as it involves many steps from field experiments, to laboratory analysis, to (statistical and predictive) modeling, and some related to linking the results to pollution control plans. The primer is structured on the steps of source apportionment, exp...
Online Training & Resources
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Simplified ATMoS-4.0 Dispersion Model

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...
Guidelines, Tools & Models
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Incremental excess of PM components and sources between two neighbouring sites of Bogotá, Colombia

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....
Scientific publications
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Chemical speciation and source apportionment of fine particulate matter in Santiago, Chile, 2013

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....
Scientific publications
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Chemical composition and source apportionment of PM10 at an urban background site in a high–altitude Latin American megacity (Bogota, Colombia)

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...
Scientific publications
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Informe Parcial del Proyecto Caracterización Química de Partículas Suspendidas PM2.5 en el Área Metropolitana de Monterrey, Estado de Nuevo León

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...
Reports, Case Studies & Assessments
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Spatial distribution and chemical composition of road dust in two high-altitude Latin American cities

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...
Scientific publications
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Lecture 15: Introduction to Air Quality Modelling

This lecture focuses on the basics of air quality modelling, and its components. The lecture also includes the different types of air quality models....
Online Training & Resources
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Lecture 16: Gaussian Dispersion Model for Point Source

This lecture explains the Gaussian dispersion model for a point source, its derivation, and the estimation of parameters of the Gaussian plume equation....
Online Training & Resources
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Lecture 17: Gaussian Dispersion Model for Line Source and Area Source

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