• Title of article

    Year-long, high-resolution, urban airshed modelling: verification of TAPM predictions of smog and particles in Melbourne, Australia

  • Author/Authors

    Peter Hurley، نويسنده , , Peter Manins، نويسنده , , Sunhee Lee، نويسنده , , Rhonda Boyle، نويسنده , , Yuk Leung Ng، نويسنده , , Piyaratne Dewundege، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2003
  • Pages
    12
  • From page
    1899
  • To page
    1910
  • Abstract
    CSIROʹs coupled meteorological and pollutant chemical dispersion model, the Air Pollution Model (TAPM), and the EPA Victoria multi-pollutant emission inventory for the Port Phillip region (including Melbourne—covering a region of approximately 24,000 km2) were used to simulate 1 year of hourly averaged air pollution concentrations for smog and particles, both without and with meteorological data assimilation. Model results have been compared with data from the EPA Victoria air-monitoring network. Results show that TAPM predicts year-long extreme concentration statistics (i.e. the high end of the distribution of concentrations over 1 year) for hourly averaged smog (NO2 and O3) to within 9%, and for 24-hourly averaged particles (PM10 and PM2.5) to within 13%, averaged across all monitoring sites, even when no local meteorological data are assimilated into the model. Results for paired-in-time measures such as correlation coefficient, factor-of-two and gross error, also show that TAPM is performing well, with average values (averaged over all monitoring sites) of 0.51, 0.76 and 0.38 for these measures, respectively. Results for the simulation with meteorological data assimilation were very close to those from the simulation without meteorological data assimilation. The good results obtained with the model also indicate that the emission inventory is of a high quality.
  • Keywords
    Prognostic meteorological and air pollution modelling , Regulatory modelling , Urban airshed modelling , Smog modelling , Model verification , TAPM
  • Journal title
    Atmospheric Environment
  • Serial Year
    2003
  • Journal title
    Atmospheric Environment
  • Record number

    757573