High Performance Open Source Lagrangian Oil Spill Model

  • Andrea Anguiano-GarcíaEmail author
  • Olmo Zavala-Romero
  • Jorge Zavala-Hidalgo
  • Julio Antonio Lara-Hernández
  • Rosario Romero-Centeno
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 948)


An oil spill particle dispersion model implemented in Julia, a high-performance programming language, and Matlab is described. The model is based on a Lagrangian particle tracking algorithm with a second-order Runge-Kutta scheme. It uses ocean currents from the Hybrid Coordinate Ocean Model (HYCOM) and winds from the Weather Research and Forecasting Model (WRF). The model can consider multiple oil components according to their density and different types of oil decay: evaporation, burning, gathering, and exponential degradation. Furthermore, it allows simultaneous modeling of oil spills at multiple locations. The computing performance of the model is tested in both languages using an analogous implementation. A case study in the Gulf of Mexico is described.


Julia language Lagrangian model Oil spill model HYCOM WRF Julia vs Matlab performance 



This work was funded by the CONACYT-SENER-Hidrocarburos grant 201441. This is a contribution of the Gulf of Mexico Research Consortium (CIGoM).


  1. 1.
    Spaulding, M.L.: State of the art review and future directions in oil spill modeling. Mar. Pollut. Bull. 115, 7–19 (2017)CrossRefGoogle Scholar
  2. 2.
    OBCS: Oil Budget Calculator: Deepwater Horizon. Books LLC (2012)Google Scholar
  3. 3.
    Liu, Z., Liu, J., Zhu, Q., Wu, W.: The weathering of oil after the Deepwater Horizon Oil spill: insights from the chemical composition of the oil from the sea surface, salt marshes and sediments. Environ. Res. Lett. 7, 035302 (2012)CrossRefGoogle Scholar
  4. 4.
    Beyer, J., Trannum, H.C., Bakke, T., Hodson, P.V., Collier, T.K.: Environmental effects of the Deepwater Horizon oil spill: a review. Mar. Pollut. Bull. 110, 28–51 (2016)CrossRefGoogle Scholar
  5. 5.
    Özgökmen, T., et al.: Over what area did the oil and gas spread during the 2010 Deepwater Horizon Oil spill? Oceanography 29, 96–107 (2016)CrossRefGoogle Scholar
  6. 6.
    Guo, W., Wang, Y.: A numerical oil spill model based on a hybrid method. Mar. Pollut. Bull. 58, 726–734 (2009)CrossRefGoogle Scholar
  7. 7.
    Reed, M., Ekrol, N., Rye, H., Turner, L.: Oil Spill Contingency and Response (OSCAR) analysis in support of environmental impact assessment offshore Namibia. Spill Sci. Technol. Bull. 5, 29–38 (1999)CrossRefGoogle Scholar
  8. 8.
    Spaulding, M., Kolluru, V., Anderson, E., Howlett, E.: Application of three-dimensional oil spill model (WOSM/OILMAP) to Hindcast the Braer spill. Spill Sci. Technol. Bull. 1, 23–35 (1994)CrossRefGoogle Scholar
  9. 9.
    Beegle-Krause, J.: General NOAA oil modeling environment (Gnome): a new spill trajectory model. In: International Oil Spill Conference Proceedings, vol. 2001, pp. 865–871 (2001)CrossRefGoogle Scholar
  10. 10.
    Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.: Julia: a fresh approach to numerical computing. SIAM Rev. 59, 65–98 (2017)MathSciNetCrossRefGoogle Scholar
  11. 11.
    Samuels, W.B., Huang, N.E., Amstutz, D.E.: An oil spill trajectory analysis model with a variable wind deflection angle. Ocean Eng. 9, 347–360 (1982)CrossRefGoogle Scholar
  12. 12.
    Döös, K., Rupolo, V., Brodeau, L.: Dispersion of surface drifters and model-simulated trajectories. Ocean Model. 39, 301–310 (2011)CrossRefGoogle Scholar
  13. 13.
    Reddy, C.M., et al.: Composition and fate of gas and oil released to the water column during the Deepwater Horizon oil spill. Proc. Natl. Acad. Sci. 109, 20229–20234 (2011)CrossRefGoogle Scholar
  14. 14.
    Berry, A., Dabrowski, T., Lyons, K.: The oil spill model OILTRANS and its application to the Celtic Sea. Mar. Pollut. Bull. 64, 2489–2501 (2012)CrossRefGoogle Scholar
  15. 15.
    Liu, Y., Weisberg, R.H., Hu, C., Zheng, L.: Trajectory forecast as a rapid response to the Deepwater Horizon Oil spill. In: Geophysical Monograph Series, pp. 153–165. American Geophysical Union, Washington, D. C. (2011)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Andrea Anguiano-García
    • 1
    Email author
  • Olmo Zavala-Romero
    • 1
    • 2
  • Jorge Zavala-Hidalgo
    • 1
  • Julio Antonio Lara-Hernández
    • 1
  • Rosario Romero-Centeno
    • 1
  1. 1.Centro de Ciencias de la Atmósfera, Universidad Nacional Autónoma de MéxicoMexico CityMexico
  2. 2.Department of Radiation OncologyUniversity of Miami Miller School of MedicineMiamiUSA

Personalised recommendations