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Abstract

In this study, two freely available models, the hydrodynamic model Princeton Ocean Model (POM) and the oil spill model OpenOil, are integrated to simulate the T.S. Taipei oil spill that occurred on March 10, 2016. In these models, the amount of oil spilled into the sea is distributed among a large number of small and equal mass particles. Meteorological data such as wind velocity, air surface temperature, and current data from the POM are used as inputs. The Lagrangian particle traction with prescribed advection and reaction is used to model the spilled oil. The results are compared with in-situ observations and simulation results from the Oil Modeling Application Package (OILMAP), and a qualitative agreement was found. This demonstrates that the proposed integrated model can be a useful tool to predict the impact of oil spills on the marine environment.

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