The growing need to monitor and reduce urban air pollution requires the adoption of reliable models for assessing pollutant concentrations at street level. This study presents a preliminary application of the SIRANE dispersion model to the city of Turin (Italy), focusing on nitrogen oxides (NOX, NO2, NO) and ozone (O₃) during February 2022. Emissions from both road traffic and residential heating were reconstructed, while meteorological inputs and background concentrations were provided by ARPA Piemonte. Model results were compared with hourly observations from the monitoring network within the municipality. SIRANE was able to reproduce the main spatial and temporal patterns, especially for NO₂. These preliminary results highlight the model's potential for operational applications in Turin and indicate key directions for future improvements.
Application of the SIRANE street-network dispersion model to Turin, Italy: from input data reconstruction to model evaluation / Eberrini, Anna; Fellini, Sofia; Laio, Francesco; Ridolfi, Luca; Salizzoni, Pietro. - (2025). ( HARMO23 Amburgo (Ger) 15 - 19 Settembre 2025).
Application of the SIRANE street-network dispersion model to Turin, Italy: from input data reconstruction to model evaluation
Anna Eberrini;Sofia Fellini;Francesco Laio;Luca Ridolfi;Pietro Salizzoni
2025
Abstract
The growing need to monitor and reduce urban air pollution requires the adoption of reliable models for assessing pollutant concentrations at street level. This study presents a preliminary application of the SIRANE dispersion model to the city of Turin (Italy), focusing on nitrogen oxides (NOX, NO2, NO) and ozone (O₃) during February 2022. Emissions from both road traffic and residential heating were reconstructed, while meteorological inputs and background concentrations were provided by ARPA Piemonte. Model results were compared with hourly observations from the monitoring network within the municipality. SIRANE was able to reproduce the main spatial and temporal patterns, especially for NO₂. These preliminary results highlight the model's potential for operational applications in Turin and indicate key directions for future improvements.| File | Dimensione | Formato | |
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https://hdl.handle.net/11583/3010354
