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Additional resources for Air Quality - Models and Applications
Receptor Modeling in Environmental Chemistry, Wiley, New York. , ed. (1991). Receptor Modeling for Air Quality Management, Elsevier, Amsterdam. Hosker, G. L. 1985 Clin. Phys. Physiol. Meas. , Rafailidis, S. and Schatzmann, M. (2001) 'A comprehensive experimental databank for the verification of urban car emission dispersion models', International Journal of Environment and Pollution, 15, pp. E. C. M. , Report No. 124, July 2005 Korsholm, U. , and Sørensen, J. : On the importance of the meteorological coupling interval in dispersion modeling during ETEX-1, Atmos.
Input to the model is simple meteorology. Emissions and the movement of pollutants in and out of the 22 Air Quality - Models and Applications box is allowed. The air mass is considered as well mixed and concentrations to be uniform throughout. Advantage of the box model is simple meteorology input and detailed chemical reaction schemes, detailed aerosol dynamics treatment. However, following inputs of the initial conditions a box model simulates the formation of pollutants within the box without providing any information on the local concentrations of the pollutants.
Air Quality Index of an Industrial Area: Orissa, India 8 regional air quality modeling leading to setting up of air quality index for an industrial area in India is given in Fig 2. 6 Urban pollution and climate integrated modeling Integrated air quality modelling systems are tools that help in understanding impacts from aerosols and gas-phase compounds emitted from urban sources on the urban, regional, and global climate. , 2007 have demonstrated that urban features essentially influence atmospheric flow and microclimate, strongly enhance atmospheric turbulence, and modify turbulent transport, dispersion, and deposition of atmospheric pollutants.