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High Performance Open Source Lagrangian Oil Spill Model

Part of the Communications in Computer and Information Science book series (CCIS,volume 948)

Abstract

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.

Keywords

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

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References

  1. Spaulding, M.L.: State of the art review and future directions in oil spill modeling. Mar. Pollut. Bull. 115, 7–19 (2017)

    CrossRef  Google Scholar 

  2. OBCS: Oil Budget Calculator: Deepwater Horizon. Books LLC (2012)

    Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  6. Guo, W., Wang, Y.: A numerical oil spill model based on a hybrid method. Mar. Pollut. Bull. 58, 726–734 (2009)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  10. Bezanson, J., Edelman, A., Karpinski, S., Shah, V.B.: Julia: a fresh approach to numerical computing. SIAM Rev. 59, 65–98 (2017)

    MathSciNet  CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  12. Döös, K., Rupolo, V., Brodeau, L.: Dispersion of surface drifters and model-simulated trajectories. Ocean Model. 39, 301–310 (2011)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

  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)

    CrossRef  Google Scholar 

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Acknowledgments

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

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Correspondence to Andrea Anguiano-García .

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Anguiano-García, A., Zavala-Romero, O., Zavala-Hidalgo, J., Lara-Hernández, J.A., Romero-Centeno, R. (2019). High Performance Open Source Lagrangian Oil Spill Model. In: Torres, M., Klapp, J., Gitler, I., Tchernykh, A. (eds) Supercomputing. ISUM 2018. Communications in Computer and Information Science, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-10448-1_11

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  • DOI: https://doi.org/10.1007/978-3-030-10448-1_11

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