NUMERICAL STUDY OF OIL SPILL USING AVERAGE HYDRODYNAMIC DATA IN THE PATOS LAGOON ESTUARY

Authors

  • Bruno Vasconcellos Lopes Universidade Federal do Rio Grande
  • T F Leal
  • P H Oleinik
  • T B Trombetta
  • O O Möller Jr
  • Willian C Marques

DOI:

https://doi.org/10.26512/ripe.v5i1.19072

Keywords:

Numerical Modeling. Telemac-3D. ECOS.

Abstract

The impossibility of eliminating risks of accidents involving oil spills stresses the importance in establishes fast action protocols against these eventual disasters, mainly in harbor zones. In this study sixty simulations with different scenarios for oil spill events were simulated in different environmental conditions at the harbor zone of the city of Rio Grande - RS. The simulations were made using the numerical system Telemac-3D + ECOS. The hydrodynamic simulation period was of 365 days corresponding to the daily means calculated for the period between the years of 2003 and 2015. The hydrodynamic validation for the month of January of 2011 showed satisfactory results. The oil spills simulations, spaced over 365 days, were used to identify the main forces controlling the oil particles movement and its final destination. The trend of the movement of oil particles is due the combination of winds, currents and water discharge from the Patos lagoon tributary rivers. The different scenarios of flood/ebb regime and different direction and intensity of winds generate distinct interactions over the oil particles trajectories that can intensify or slow down the displacement velocity of the particles. Lastly, the ECOS model showed satisfactory results can support actions in case of accidents involving oil spills at the Super Porto region.

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Published

2019-01-16

How to Cite

Lopes, B. V., Leal, T. F., Oleinik, P. H., Trombetta, T. B., Möller Jr, O. O., & Marques, W. C. (2019). NUMERICAL STUDY OF OIL SPILL USING AVERAGE HYDRODYNAMIC DATA IN THE PATOS LAGOON ESTUARY. Revista Interdisciplinar De Pesquisa Em Engenharia, 5(1), 58–66. https://doi.org/10.26512/ripe.v5i1.19072

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