Gianni Pagnini

Learn More
The aim of the article is to investigate the relative dispersion properties of the Well Mixed class of Lagrangian Stochastic Models. Dimensional analysis shows that given a model in the class, its properties depend solely on a non-dimensional parameter, which measures the relative weight of Lagrangian-to-Eulerian scales. This parameter is formulated in(More)
The physical picture of a fluid particle pair as a couple of material points rotating around their centre of mass is proposed to model turbulent relative dispersion in the inertial range. This scheme is used to constrain the non-uniqueness problem associated to the Lagrangian models in the well-mixed class and the properties of the stochastic process(More)
We present a modeling approach for diffusion in a complex medium characterized by a random length scale. The resulting stochastic process shows subdiffusion with a behavior in qualitative agreement with single-particle tracking experiments in living cells, such as ergodicity breaking, p variation, and aging. In particular, this approach recapitulates(More)
Releases of liquid petroleum hydrocarbon into the environment, especially into the ocean, are called oil spills. To correctly model dispersion on ocean surface both large and small scale processes must be considered. In fact, the motion of the centre of mass is driven by large scale meandering and spot enlarging is controlled by small scale turbulence. A(More)
The derivation of Quasi-One-Dimensional Model for turbulent relative dispersion (Kurbanmuradov, Monte Carlo Methods and its applications , 3(1), 37-52, 1997) is reviewed and an error is detected. An estimation of the difference between the correct and the incorrect formulations is given in a very simplified turbulence. The correct formulation proves to(More)
An approach to develop stochastic models for studying anomalous diffusion is proposed. In particular, in this approach the stochastic particle trajectory is based on the fractional Brownian motion but, for any realization, it is multiplied by an independent random variable properly distributed. The resulting probability density function for particle(More)
  • 1