First Land Use and Air Quality Study in Greater Rosario, Argentina: A Ground-Satellite Assessment of PM2.5
Year: 2026
Type: article
Abstract: Fine particulate matter (PM2.5) is studied for the first time at ground level in different sites of Greater Rosario (GR), an urban and industrial area of central-eastern Argentina. Twelve sites were selected according to land use, and 87 samples were analyzed during winter 2021 and summer 2022. The spatial and temporal distribution of PM2.5 was examined, comparing results among sites and with global data. Ground-based data were complemented with satellite-derived Aerosol Optical Depth (AOD) and nitrogen dioxide vertical column density (NO2 VCD). During winter, the highest PM2.5 was obtained at an industrial site in northern GR, while in summer, maximum values were observed in the center of Rosario. Summer rain events could contribute to the wet deposition of suspended particles, resulting in lower PM2.5 concentrations. Satellite data indicate higher average AOD in summer (attributable to forest fires in NE Argentina) and higher NO2 VCD in winter, coinciding with burning events in the Paraná Delta islands and reflected in some PM2.5 peaks. This analysis represents the first approach to assessing the air quality of Rosario and its surroundings, with on-site data collected in association with land use.
Source: Atmosphere
Authors: Greta Ailín Piñol, María Virginia Binet, María Fernanda Valle Seijo, María Isabel Micheletti, Hebe Alejandra Carreras, María Mercedes Grosso
Language: English
Subfield: Atmospheric Science
Field: Earth and Planetary Sciences
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,896
Funders: National Aeronautics and Space Administration, Universidad Nacional de Rosario, Consejo Nacional de Investigaciones Científicas y Técnicas, Universidad de Córdoba, Universidad del Rosario, Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación, National Oceanic and Atmospheric Administration
Award: G5344391199
OpenAlex ID: W7166559755
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