The two following accidental scenarios are considered, which are assumed to occur in the Gulf of Finland RO4929097 nmr during ice-free season: 1. a spill of 5000 tons of medium oil; A
comparison of the results of the probabilistic model presented in this paper with the two other models for oil spill cleanup-costs estimations are depicted in Fig. 3. As for the calculations completed using the equation adapted from Etkin (1999), the relevant factors used along with oil type and spill size are the following: Shoreline oiling modifier: −59% (moderate) Oil type: +40% (light/heavy fuel) Clean-up methodology factor: +61% (mechanical manual only) Spill size modifier factor: 1 (spill size of 5000 ton) Resulting clean-up cost in euro 12.1M Full-size table Table options View in workspace Download as CSV In this case Etkin’s model delivers one number as an outcome, and the parameters are defined without much ambiguity. When it comes to the calculations using the equation provided by Shahriari and Frost (2008), the density used for the oil is 0.895 kg/m3 and the preparedness level AG 14699 given for the Baltic Sea is 3. In the second scenario we analyze the clean-up costs for a spill of 30,000 tons of heavy oil. The size of the oil spill is chosen to symbolize the largest
oil spill that the Authorities in Finland can hypothetically deal with. The results, which are obtained with the use of three models, are depicted in Fig. 4. In the calculations completed using the equation by Etkin (1999), the other factors along with oil type and spill size are the following: Shoreline oiling modifier: +127% (major) Shoreline oiling modifier: −59% (moderate) Oil type: +52% (heavy crude) Clean-up methodology factor: +61% (mechanical manual only) Spill size modifier factor: −86% (spill size larger than 15,000 ton) Resulting clean-up cost in euro 144M for major shoreline oiling 46M for moderate shoreline oiling 95M – mean value of
the above two Full-size table Table options View in workspace Download as CSV In this case, at least one parameter Pyruvate dehydrogenase lipoamide kinase isozyme 1 in Etkin’s model cannot be determined exactly. This results in an outcome featuring a large spread. The additional values used in the equation by Shahriari and Frost (2008) are 0.93 kg/m3 as the density of heavy oil, and 3 for the preparedness level. As the analyzed scenarios are hypothetical, and there has been no record of the clean-up costs of a significant oil spill in the Gulf of Finland made available to us, we do not posses any data to confront our model with. Therefore, we are forced to compare the obtained results with the models, which claim to be supported by empirical data. The proposed model shows good agreement with two existing models. Despite the extensive use of experts’ knowledge in development, which involves numerous assumptions, we managed to obtain a model that provides promising results.