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Spatial variation, temporal evolution, and source direction apportionment of PM1, PM2.5, and PM10: 3-year assessment in Turin (Po Valley)

Domenico Mecca, Chiara Boanini, V. Vaccaro, Davide Gallione, Nicole Mastromatteo, Marina Clerico

2024Environmental Monitoring and Assessment16 citationsDOIOpen Access PDF

Abstract

As the population of urban areas is increasing continually, analysis of the particulate concentration dynamics in these areas is crucial. Therefore, this study investigated the temporal and spatial variabilities of PM 1 , PM 2.5 , and PM 10 over the urban area of Turin in the Po Valley, Italy, based on high-resolution data from a monitoring campaign conducted between 2018 and 2021 (including COVID-19 lockdown period). The study also performed a source direction analysis of the urban observation using the conditional bivariate probability function (CBPF). The results showed substantial differences in PM 10 concentration at background (28–30 µg/m 3 ), and traffic stations (36 µg/m 3 ). PM 2.5 concentration was highest at traffic stations (24 µg/m 3 ). During the day, the highest values occurred at 9:00–11:00 AM, and the lowest concentrations occurred at 4:00–6:00 PM. The concentration peak position changed in a daily bimodal trend with the season. According to the CBPF, the relevant external particulate contributions to the Turin area are from the direction of the Po Valley (N–NE) and the typical direction of Saharan dust transport (S–SW). The present study contributes to scientific understanding by providing information on one of the main European pollutant hot spots and discussing the trends of emerging pollutants, like PM 1 .

Topics & Concepts

ParticulatesEnvironmental scienceApportionmentSpatial variabilityPollutantPopulationPhysical geographyAtmospheric sciencesGeographyStatisticsGeologyDemographyOrganic chemistrySociologyChemistryMathematicsBiologyLawEcologyPolitical scienceAir Quality and Health ImpactsAtmospheric chemistry and aerosolsAir Quality Monitoring and Forecasting