• DocumentCode
    3241011
  • Title

    Preparation of meteorological input for AERMOD using Malaysian meteorological data

  • Author

    Chen, Tan Yen ; Abdullah, Luqman Chuah ; Aun, Tan Poh

  • Author_Institution
    Dept. of Chem. & Environ., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2011
  • fDate
    19-21 April 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Gaussian plume dispersion model - AMS/EPA Regulatory Model (AERMOD) has been recognised as the preferred regulatory air dispersion model and has been proven to perform better than other available models. However, Malaysian meteorological data has limited parameters and the data recorded is inadequate to be used in AERMOD. Currently, processed meteorological data has to be bought from meteorological data service providers located overseas. The processed data does not represent the real conditions experienced at the site accurately. The study involves the identification of missing data in 4 meteorological stations located in Peninsular Malaysia (Cameron Highlands, Subang, Sepang KLIA, and Kuantan), replacement of the missing data and preparation of the data in accordance with the format that AERMOD requires. The study result in a methodology to replace missing data and calculation using bulk formulae which is developed based on certain assumptions that are practical and scientific.
  • Keywords
    geographic information systems; meteorology; AERMOD; AMS-EPA regulatory model; Gaussian plume dispersion model; Malaysian meteorological data; Peninsular Malaysia; data recording; meteorological data service provider; meteorological station; regulatory air dispersion model; Atmospheric modeling; Dispersion; Rough surfaces; Surface roughness; Temperature distribution; Wind speed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0003-3
  • Type

    conf

  • DOI
    10.1109/ICMSAO.2011.5775472
  • Filename
    5775472