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Ocean Dynamics

, Volume 66, Issue 8, pp 939–954 | Cite as

IT-OSRA: applying ensemble simulations to estimate the oil spill risk associated to operational and accidental oil spills

  • Antonio Augusto Sepp Neves
  • Nadia Pinardi
  • Flavio Martins
Article
Part of the following topical collections:
  1. Topical Collection on the 47th International Liège Colloquium on Ocean Dynamics, Liège, Belgium, 4-8 May 2015

Abstract

Oil Spill Risk Assessments (OSRAs) are widely employed to support decision making regarding oil spill risks. This article adapts the ISO-compliant OSRA framework developed by Sepp Neves et al. (J Environ Manag 159:158–168, 2015) to estimate risks in a complex scenario where uncertainties related to the meteo-oceanographic conditions, where and how a spill could happen exist and the risk computation methodology is not yet well established (ensemble oil spill modeling). The improved method was applied to the Algarve coast, Portugal. Over 50,000 simulations were performed in 2 ensemble experiments to estimate the risks due to operational and accidental spill scenarios associated with maritime traffic. The level of risk was found to be important for both types of scenarios, with significant seasonal variations due to the the currents and waves variability. Higher frequency variability in the meteo-oceanographic variables were also found to contribute to the level of risk. The ensemble results show that the distribution of oil concentrations found on the coast is not Gaussian, opening up new fields of research on how to deal with oil spill risks and related uncertainties.

Keywords

ISO 31000 Oil spill risk assessment Ensemble oil spill modeling Algarve MEDSLIK-II 

Notes

Acknowledgments

This work was co-funded through the TESSA Project, a MACOMA Grant and the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 633211. MACOMA is a Joint Doctorate program selected under Erasmus Mundus coordinated by the University of Cadiz. “TESSA” (Sviluppo di TEcnologie per la Situational Sea Awareness) is an industrial research project supported by PON “Ricerca & Competitivita 2007–2013” program of the Ministry for Education, University and Research. The authors would also like to thank Catarina Frazao Santos for making the coastal vulnerability data available.

Supplementary material

10236_2016_960_MOESM1_ESM.pdf (857 kb)
(PDF 856 KB)

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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Antonio Augusto Sepp Neves
    • 1
  • Nadia Pinardi
    • 1
  • Flavio Martins
    • 2
  1. 1.Department of Physics and AstronomyUniversity of BolognaBolognaItaly
  2. 2.CIMAUniversity of AlgarveFaroPortugal

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