Application of the Receptor Oriented Approach in Mesoscale Dispersion Modeling
A traditional source oriented approach in dispersion modeling consists in solving model equations forward in time for given sources of pollutant (Figure 1). As a result time and space dependent concentration fields C are obtained. In order to investigate another variant of emission Q, the solution of the model equations must be repeated. In many practical applications, air pollution at a given receptor is of primary interest and an alternative receptor oriented modeling should be considered as a more effective approach. In this case, air quality at the receptor is characterized by an integral of pollution concentration over the modeling domain and time of simulation Φ[C]. The integral can be defined in accordance to the aim of the study using a receptor function R. Instead of concentration, an influence function C* is calculated which provides information on contributions from different sources to air pollution at the receptor.
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- Marchuk, G.I., 1982: Mathematical issues of industrial effluent optimization. J. Meteor. Soc. Jap. 60, 481–485.Google Scholar
- Pielke, R.A., Lyons, W.A., McNider, R.T., Moran, M.D., Stocker, R.A., Walko, R.L., Uliasz, M., 1990: Regional and mesoscale meteorological modeling as applied to air quality studies. Proc., 18th ITM on Air Pollution Modelling and Its Application, May 14–17, Vancouver, Canada.Google Scholar
- Uliasz, M., 1983: Application of the perturbation theory to sensitivity analysis of an air pollution model. Zeitschrift für Meteorologie, 33, 355–362.Google Scholar
- Uliasz, M., 1985: Comparison of the sensitivity analysis methods for meteorological models. Zeitschrift für Meteorologie, 35, 340–348.Google Scholar
- Uliasz, M., 1990a: Development of the mesoscale dispersion modeling system using personal computers. Part I: Models and computer implementation Zeitschrift für Meteorologie, 40, No 2, 104–114.Google Scholar
- Uliasz, M., 1990b: Development of the mesoscale dispersion modeling system using personal computers. Part II: Numerical simulations. Zeitschrift für Meteorologie, 40, (In press).Google Scholar