• Title of article

    Modelling of PM10 concentrations over Milano urban area using two aerosol modules

  • Author/Authors

    C. Silibello a، نويسنده , , *، نويسنده , , G. Calori، نويسنده , , G. Brusasca، نويسنده , , A. Giudici b، نويسنده , , E. Angelino، نويسنده , , G. Fossati، نويسنده , , E. Peroni b، نويسنده , , E. Buganza c، نويسنده ,

  • Issue Information
    ماهنامه با شماره پیاپی سال 2008
  • Pages
    11
  • From page
    333
  • To page
    343
  • Abstract
    Fine particulate air pollution represents one of the most relevant environmental concerns in Lombardia region (Northern Italy). PM10 concentrations overcome air quality limit values especially during wintertime, when frequently occurring thermal inversions and calm conditions tend to inhibit pollutants dispersion. To have a better understanding of the spatial distribution of PM10, a modelling system has been applied to a winter PM10 episode considering a computational domain centered on Milano metropolitan area. The modelling system software suite is based on an Eulerian photochemical model (FARM e Flexible Air quality Regional Model) and includes an emission pre-processor to apportion data from the regional emission inventory, a diagnostic meteorological model coupled with a micrometeorological module and data visualization and post-processing tools. FARM model has been applied with two aerosol modules: the aero3 modal aerosol module implemented in CMAQ framework and a bulk aerosol module (aero0), based on a simplified thermodynamic scheme. Both tested modules show a good agreement with observed concentrations. A performance analysis of modelling results by means of typical statistical measures has evidenced an acceptable model performance for both models and a better reproduction of PM10 levels using the more complete aerosol module (aero3). Furthermore, the application of the latter aerosol module provides a PM10 chemical composition that results in good agreement with data collected within Milano urban area.
  • Keywords
    air quality modelling , Aerosol Composition , Urban air pollution , particulate
  • Journal title
    Environmental Modelling and Software
  • Serial Year
    2008
  • Journal title
    Environmental Modelling and Software
  • Record number

    958840