ON SOME PROPERTIES OF LAGRANGIAN DISPERSION MODELS WITH NON-GAUSSIAN NOISE

The properties of a stochastic model with non-Gaussian random noise de scribing turbulent dispersion have been investigated, with reference t o its mathematical structure and to its behaviour simulating the inert ial subrange. The process is Markovian, mean-square continuous and wit h delta-correlated increments. The model is influenced by the turbulen ce inhomogeneities also at the smallest scales, that is, it does not c orrectly simulate the existence of a well-developed inertial subrange. Some numerical computations have been performed confirming the theore tical results.