The properties of a stochastic model with non-Gaussian random noise describing turbulent dispersion have been investigated, with reference to its mathematical structure and to its behaviour simulating the inertial subrange. The process is Markovian, mean-square continuous and with ?-correlated increments. The model is influenced by the turbulence inhomogeneities also at the smallest scales, that is, it does not correctly simulate the existence of a well-developed inertial subrange. Some numerical computations have been performed confirming the theoretical results.
On some properties of Lagrangian dispersion models with non-Gaussian noise
Cesari Rita;Tampieri Francesco
1997
Abstract
The properties of a stochastic model with non-Gaussian random noise describing turbulent dispersion have been investigated, with reference to its mathematical structure and to its behaviour simulating the inertial subrange. The process is Markovian, mean-square continuous and with ?-correlated increments. The model is influenced by the turbulence inhomogeneities also at the smallest scales, that is, it does not correctly simulate the existence of a well-developed inertial subrange. Some numerical computations have been performed confirming the theoretical results.File in questo prodotto:
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