International Scientific Journal

Authors of this Paper

External Links


Air quality simulation models are extensively used in assessing the impacts of combustion plants. A wide variety of models are available. In order to recommend the most appropriate air quality modeling technique that should be incorporated into a standard regulatory framework in the Republic of Macedonia the performances of three Gaussian-plume atmospheric dispersion models, ADMS 3, OML, and ISCST3 have been analyzed. The models have been tested against the ground level measurements of the daily mean SO2 concentrations obtained at the four locations around the Thermal Power Plant of Bitola. Two experimental campaigns have been performed. The three model results and the measurements at the presented locations for 365 days in the year are compared. An analysis of the obtained results is presented in the paper as well. The meteorological preprocessor MADAM_MP has been used to provide the required boundary layer parameters for estimation of the transport and diffusion of pollutants released from the stacks. Using the MADAM_MP a year of hourly values for the mixing height, Monin-Obukhov length surface friction velocity, sensible heat flux, and Pasquill's stability class, have been calculated from the available meteorological data set. The approach and the main equations for the boundary layer parameters estimation are presented in this paper.
PAPER REVISED: 2006-05-23
PAPER ACCEPTED: 2006-07-21
CITATION EXPORT: view in browser or download as text file
  1. Arya, S. Pal, Air Pollution Meteorology and Dispersion, Oxford University Press, 1999
  2. Zannetti, P., Air Pollution Modeling: Theories, Computational Methods and Available Software, Van Nostrand Reinhold, New York, 1990
  3. CERC, ADMS 3 User guide, CERC Limited, Cambridge, UK, 1999
  4. van Ulden, A.P and Holtslag, A.A.M., Estimation of atmospheric boundary layer parameters for diffusion applications. J. Climate Appl. Meterology, Vol. 24, p 1196 ? 1206, 1985
  5. Holtslag, A.A.M. and van Ulden A.P., A simple scheme for daytime estimates of the surface fluxes from routine weather data. J. Climate Appl. Meterology, Vol. 22, p 517 ? 529, 1983
  6. Hanna, S.R. and Paine, R.J., Hybrid Plume Dispersion Model (HPDM) development and evaluation. J. of Applied Meteotology, Vol. 28, p 206 ? 224, 1989
  7. Tennekes, H., A model for the dynamics of the inversion above a convective boundary layer. J. Atmos Sci., Vol. 30, p 558 ? 567, 1973
  8. Tennekes, H. and Driedonks, A.G.M., Basic entrainment equations for the atmospheric boundary layer. Boundary-Layer Meteorology, Vol. 20, p 515 ? 531, 1981
  9. Thomson, D.J., The met input module. UK Met Office, UK ADMS 1.0, P05/01H/92, 1992
  10. U.S. Environmental Protection Agency, Preferred/Recommended Models, CALPUFF Modeling System
  11. CSIRO Marine and Atmospheric Research, The Air Pollution Model (TAPM), http://www.dar.csiro. au/tapm/
  12. Briggs, G.A., Plume rise predictions, In Lectures on Air Pollution and Environmental Impact Analyses (D.A. Haugen , ed.) pp. 59-111, American Meteorological Society, Boston, 1975
  13. Briggs, G. A., Plume rise and buoyancy effects, In Atmospheric Science and Power Production (D. Randerson, ed.) pp. 327-366, U.S. Department of Energy, Technical Information Center, Oak Ridge, TN, 1984
  14. Lofstrom, P. and Olesen, H.R., User?s Guide for OML-MULTI ? An Air Pollution Model for Multiple Point and Area Sources, National Environ. Research Institute, Roskilde, Denmark, 1996
  15. Olesen, H.R. and Brown, N., The OML Meteorological Preprocessor, National Environmental Research Institute, Roskilde, Denmark, 1996
  16. EPA U.S., User's guide for the Industrial Source Complex (ISC3) dispersion, Environmental Protection Agency, EPA-454/B-95-003a, 1995
  17. U.S. Environmental Protection Agency, Preferred/Recommended Models, AERMOD Modeling System,

© 2020 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence