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2003. Multivariate receptor modeling by N-dimensional edge detection. 65, 179-189. Holmes, N. , L. Morawska, et al. (2005). " Atmospheric Environment 39(22): 3977-3988. Holmes, N. , Morawska, L. (2006) A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models available. Atmospheric Environment, pp. 40, 5902–5928. K. (1985). Receptor Modeling in Environmental Chemistry, Wiley, New York. , ed. (1991). Receptor Modeling for Air Quality Management, Elsevier, Amsterdam.

Peckham, R. Schmitz, S. A. McKeen, G. Frost, W. C. Skamarock, and B. Eder, 2005: Fully coupled “online“ chemistry within the WRF model, Atmos. , 39(37), 6957–6975. , 2003. Multivariate receptor modeling by N-dimensional edge detection. 65, 179-189. Holmes, N. , L. Morawska, et al. (2005). " Atmospheric Environment 39(22): 3977-3988. Holmes, N. , Morawska, L. (2006) A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models available.

Sarofim, J. H. M. Melillo and J. , 2006); THOR - an Integrated Air Pollution Forecasting and Scenario Management System: National Environmental Research Institute (NERI), Denmark. The outline of overall methodology of FUMAPEX and MIT interactive chemistry model is shown in Figure 6 and 7. Schematic of couplings between atmospheric model and the land model components of the MIT IGSM2 is given in Figure 8. Need of integrated models All of these models have uncertainties associated with them. Chemical transport models, such as Gaussian plume models and gridded photochemical models, begin with pollutant emissions estimates and meteorological observations and use chemical and physical principles to predict ambient pollutant concentrations.

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