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This study investigates the impact of meteorological variables on PM10 and PM2.5 levels in a low emission zone in Milan, focusing on the effects of temperature, humidity, and precipitation on particulate matter composition. Results indicate that increased temperature reduces fine PM fractions while higher humidity increases them, with PM10 exceedances being primarily linked to fine particles. The research employs compositional data analysis to better understand the relationships between weather conditions a

Author

ouedraogo

Language

EN