Subsequently, the time series of spatially averaged HS − AV and TP − AV values were calculated along with the corresponding time series for λOW. The time series for λOW, obtained using equation 12, and the time series for DD/ρW, obtained using expression 10b, are compared in Figure 4. Using the expression for DD suggested by Mackay et al. (1980) rather than that of Tkalich & Chan (2002) will result in an average overestimation of the natural dispersion process by 4%. The heat exchange between air and oil, and between oil and sea, is based on the works of Duffie & Beckmann (2006)
and Bird et al. (1960). The dependence of viscosity on temperature, aqueous phase learn more participation and evaporation is solved as suggested by CONCAWE (1983) and Hossain & Mackay (1980). The evaporation pressure at an arbitrary temperature was defined according to GSK126 Yang & Wang (1977) and changes in the fluidization point according to CMFMWOS (1985). The atmospheric and sea properties, relevant to the process of oil transformation, are taken directly from the sea circulation model. The spilled oil may be deposited along the shoreline and afterwards re-entrained into the water column. Numerical modelling of oil behaviour at the shoreline relies primarily
on empirical formulations, because of the very complex processes and interactions involved (Guo & Wang 2009). Incorporating all these factors into the model routine is almost impossible owing to the limited data available (Owens et al. 2008). The oil transport model uses the perfect reflection algorithm in situations where a particle encounters land, assuming zero kinetic energy loss on impact and equality of the angles of incidence
and reflection. For modelling purposes, the partial constituents of oil are divided into eight fractions; their chemical structure and distillation characteristics are shown in Table 1. The adopted initial temperature of the spilled oil is 25 °C in every simulation. TCL The occurrence of oil pollution due to ship failure is modelled as a continuous and steady input discharge Qspill = 18.5 kg s− 1 into the model surface layer for a period of 12 hours, resulting in a total amount of 800 tons of spilled oil. Specifying that 200 Lagrangian particles are released at each time step in the oil transport model ∆t = 200 s, and that a constant source flux of 18.5 kg s− 1 is defined, then each released particle has a mass of 18.5 kg. The thickness of the slick is calculated at the end of a time step ∆t by counting the particles in the grid cells and then, for each grid cell, dividing the total volume of the particles present in the cell by the area of the cell. Calibration of the Mike 3 model is based on the measurement data sets obtained in the ‘Adriatic Sea monitoring programme’, which was conducted in the territorial waters of the Republic of Croatia (Andročec et al. 2009). The Mike 3 results were compared with CTD and ADCP measurements.