Characterisation of Different-Size Particulate Matter in an Urban Location

This study investigates the characterisation of particulate matter (PM) across different size fractions (TSP, PM10, PM4, PM2.5, and PM1) in Porto, Portugal, over a 2-year period. Sampling was conducted at two heights (ground level and rooftop), integrating real-time measurements and filter-based analyses to evaluate seasonal and spatial variations. Elemental composition was determined using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS), enabling detailed assessments of 30 chemical elements. Meteorological parameters, including temperature, precipitation, wind speed, and direction, were analysed to understand their influence on PM concentrations. Results indicate that significant seasonal trends, with higher PM concentrations observed during autumn and winter, were associated with low boundary layer height, promoting greater mixing of particles, enhanced deposition, and higher anthropogenic emissions, with average seasonal TSP values ranging from 0.001 to 0.059 µg m−3. Elemental analysis revealed distinct profiles at ground and rooftop levels, with Ba, Cu, Pb, Mg, and Na among the most frequently detected elements; ground-level samples showed stronger contributions from local sources, such as traffic, while rooftop samples reflected regional and long-range transport. Meteorological factors, such as precipitation and wind speed, exhibited negative correlations with PM concentrations, underscoring their role in atmospheric washing. These findings highlight the complex interplay of local and regional factors in shaping PM dynamics and emphasise the importance of multi-level monitoring for effective air-quality management.

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Publication Details

Journal
Environments
Published
2026-02-21
DOI
https://doi.org/10.3390/environments13020123
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
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article

Characterisation of Different-Size Particulate Matter in an Urban Location

Alexandra Patrícia Lopes Pacheco Guedes, Sônia Valéria Pereira, Helena Ribeiro
Environments
Air Quality and Health Impacts
article

Characterisation of Different-Size Particulate Matter in an Urban Location

Alexandra Patrícia Lopes Pacheco Guedes, Sônia Valéria Pereira, Helena Ribeiro
article en

Abstract

This study investigates the characterisation of particulate matter (PM) across different size fractions (TSP, PM10, PM4, PM2.5, and PM1) in Porto, Portugal, over a 2-year period. Sampling was conducted at two heights (ground level and rooftop), integrating real-time measurements and filter-based analyses to evaluate seasonal and spatial variations. Elemental composition was determined using Inductively Coupled Plasma–Mass Spectrometry (ICP-MS), enabling detailed assessments of 30 chemical elements. Meteorological parameters, including temperature, precipitation, wind speed, and direction, were analysed to understand their influence on PM concentrations. Results indicate that significant seasonal trends, with higher PM concentrations observed during autumn and winter, were associated with low boundary layer height, promoting greater mixing of particles, enhanced deposition, and higher anthropogenic emissions, with average seasonal TSP values ranging from 0.001 to 0.059 µg m−3. Elemental analysis revealed distinct profiles at ground and rooftop levels, with Ba, Cu, Pb, Mg, and Na among the most frequently detected elements; ground-level samples showed stronger contributions from local sources, such as traffic, while rooftop samples reflected regional and long-range transport. Meteorological factors, such as precipitation and wind speed, exhibited negative correlations with PM concentrations, underscoring their role in atmospheric washing. These findings highlight the complex interplay of local and regional factors in shaping PM dynamics and emphasise the importance of multi-level monitoring for effective air-quality management.

EnvironmentsVol. 13(2)
Centro de Estudos em Geografia e Ordenamento do Territorio (PT)
Fundação para a Ciência e a Tecnologia
Sustainable cities and communities
Openalex Percentile: Top 52%
Air Quality and Health Impacts
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