Development of a Tool for Reaction to Oil Spill Emergency Simulation
DIP University of Genoa
via Opera Pia 15 16145 Genova, Italy
Chiara Briano, Alessandra Orsoni, Simone Viazzo
Liophant Simulation Club
This paper proposes ROSES: a project devoted to modeling the phenomena of Oil Spills in Sea considering the impact and effectiveness of Countermeasures. In effect this project is devoted to apply study the impact of emergency on coastal areas and to support the design of effective actions to contemn the event and to guarantee a quick reaction.
ROSES allows to study both infrastructure alternatives (i.e. type of ship and equipment to be used, number and displacement over the coastline) and management policies (i.e. sequence of operations, standing operation plans, emergency management policies).
ROSES is based on a simulation model developed in order to reproduce in detail the physical phenomena that affect the spill behavior considering the different type of pollutant; in addition ROSES include extensive database about the weather conditions expected during various periods over the year in the interested areas.
The model supports experimental analysis on special conditions or extensive automated experiments (based on montecarlo technique as support to generate a wide set of weather scenarios) in order to study the impact of an emergency versus the sea/wind/temperature conditions expected in the risky area.
ROSES includes the possibility to change the weather scenario based on local measures; in effect the scenario model included algorithms that generate and automated spanning of weather vectors over the map based on their specific nature. This result is obtained by a simplified finite difference integration of the vectorial space introducing experimental measures as kick-off seed. In effect it allows to span the wind over the sea and considering coastal hills and mountains, islands effects or to span properly waves or current considering effect due to coastline profiles.
This evolution of weather condition over the time is an active feature included in ROSES; this is performed during the simulation by applying a combined stochastic simulation approach that proceed to the integration of such changes between significant events.
The experimental analysis performed was applied to the Ligurian Coastline considering the case of large tanker accidents in front of Multedo Oil Terminal (major Italian Oil terminal) reproducing Haven Accident.
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