Parameters Identification Algorithm for the Susuplume Air Pollution Propagation Model

The article presents the method of identifying the parameters of a dynamic dispersion calculation model SUSUPLUME. It is supposed that the model parameters contain not only the characteristics of the atmosphere and the pollutant, but also information about the influence of other particular conditions such as terrain, building, background, etc. The model parameters are configured based on instrumental measurements of concentrations of pollutants in the atmospheric air in the surface layer (2 meters above ground level). Three identification strategies are considered: identification of parameters by all measurements, identification of parameters by measurements of a given source and identification of parameters using another approved model. A method for weighing these strategies is proposed in the issue. The article also provides objective functions for optimization criteria, an acceptable set of parameters, an algorithm for solving an optimization problem, a decision tree of a feasible set and a global optimization algorithm.

Keywords

SUSUPLUME model; global optimization; ecology; propagation of pollutants in the atmosphere.

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