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Simulating the production and dispersion of environmental pollutants in aerosol phase in an urban area of great historical and cultural value

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Abstract

Mathematical models were developed to simulate the production and dispersion of aerosol phase atmospheric pollutants which are the main cause of the deterioration of monuments of great historical and cultural value. This work focuses on Particulate Matter (PM) considered the primary cause of monument darkening. Road traffic is the greatest contributor to PM in urban areas. Specific emission and dispersion models were used to study typical urban configurations. The area selected for this study was the city of Florence, a suitable test bench considering the magnitude of architectural heritage together with the remarkable effect of the PM pollution from road traffic. The COPERT model, to calculate emissions, and the street canyon model coupled with the CALINE model, to simulate pollutant dispersion, were used. The PM concentrations estimated by the models were compared to actual PM concentration measurements, as well as related to the trend of some meteorological variables. The results obtained may be defined as very encouraging even the models correlated poorly: the estimated concentration trends as daily averages moderately reproduce the same trends of the measured values.

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Authors and Affiliations

  1. Dipartimento di Scienze Chimiche and Research Center for Analysis, Monitoring and Minimization Methodologies of Environmental Risk, Università di Catania, Viale A. Doria 6, I-95127, Catania, Italy

    Vito Librando & Giuseppe Tringali

  2. CNR-IBIMET, Via G. Caproni 8, 50145, Florence, Italy

    Francesca Calastrini & Giovanni Gualtieri

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  1. Vito Librando
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  2. Giuseppe Tringali
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  3. Francesca Calastrini
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  4. Giovanni Gualtieri
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Correspondence to Vito Librando.

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Librando, V., Tringali, G., Calastrini, F. et al. Simulating the production and dispersion of environmental pollutants in aerosol phase in an urban area of great historical and cultural value. Environ Monit Assess 158, 479–498 (2009). https://doi.org/10.1007/s10661-008-0598-6

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  • DOI: https://doi.org/10.1007/s10661-008-0598-6

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