Investigation of turbulence dynamics is very important for the understanding of dispersion and transport of pollutants in the marine environment. Specifically, at the surface boundary layer, dispersion phenomena are governed by the interaction of different forces (i.e., currents, waves, and winds) and are characterized by a wide range of temporal and spatial scales (Gallerano et al., 2016). Estimates of turbulence parameters able to describe the interaction of these different forces are required for an accurate prediction of pollutant pathways and concentrations. At present, turbulent dispersion simulations are mainly carried out by using Lagrangian particle models, alternatively based on a Wiener process or a Langevin scheme, which require as input data such turbulence parameters as diffusivity, velocity variance, and Lagrangian time scale (Monti and Leuzzi, 2010; De Dominicis et al., 2012). Besides, a new efficient approach is represented by kinematic chaotic models (Lacorata et al., 2014; Lacorata and Vulpiani, 2017).