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Assessment of the AMS-MINNI system capabilities to simulate air
quality over Italy for the calendar year 2005

Autori

M. Mircea, L. Ciancarella, G. Briganti, G. Calori, A. Cappelletti, I. Cionni, M. Costa, G. Cremona, M. D’Isidoro, S. Finardi, G. Pace, A. Piersanti, G. Righini, C. Silibello, L. Vitali, G. Zanini Anno 2014

Tipologia

Articolo Rivista internazionale con referaggio

Abstract

This paper presents a comprehensive evaluation of AMS-MINNI modelling system for the year 2005, over Italian peninsula and major islands Sicily and Sardinia, for gas-phase species ozone (O3) and nitrogen
dioxide (NO2), and particulate matter with an aerodynamic diameter less than or equal to 10 mm (PM10), against surface measurements from the Italian air quality database. Statistical indicators currently used
in air quality models performance assessment and recommended by European Union (EU) guidelines were calculated at rural, urban and suburban background air quality monitoring stations, on purpose of
understanding the model behaviour in areas not directly affected by anthropogenic pollution sources. Results show that measured O3 concentrations are generally well reproduced by the model, with the best
agreement between model and observations at rural stations. Simulated PM10 annual average concentrationsare generally lower than those observed but simulated and observed variabilities are comparable
at urban and suburban stations. As for NO2, the model underestimates concentrations at all stations butgives similar variability to the observed one. Overall, the values of the statistical indicators comply with
the acceptance criteria requested by EU legislation and are similar with those published by previousstudies for the three pollutants investigated in this study. Further work will be carried out to evaluate theimpact of uncertainties in input data (meteorology, emissions and boundary conditions) and indescription of gaseous and aerosol chemical and physical processes on the simulated concentrations.

Referenza_Bibliografica

Unita di Ricerca

MIA

LastUpdate

26/03/2015

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