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 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...

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...

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....

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....

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...

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...

EcoSense is a Europe-wide integrated atmospheric dispersion and exposure assessment model which calculates external costs related to the exposure to airborne pollutants with a focus on impacts on human health, following the Impact Pathway approach. To allow for a fast computation time, EcoSense uses so-called source-receptor matrices instead of a full atmospheric dispersion model. Source-receptor ...

This data visualization tool supplements the EMEP MSC-W model and datasets. It shows the data on multiple pollutants (PM2.5, PM10, O3, SO4, SO2, NO2) concentration by country, sector, and observations (daily, monthly)....

This is a repository of data produced from the EMEP MSC-W model on the sulphur (S) and nitrogen (N), and air concentrations of ozone (O3) and particulate matter (PM). There is the yearly, monthly, daily, and hourly gridded NetCDF files available on EMEP 0.1º x 0.1º longitude-latitude grid EMEP_gridding_system_documentation, EMEP01 domain map) for the reported compounds from the met.no THREDDS data...