Investigation of Deepwater horizon oil spill movement in the Gulf of Mexico

Document Type : Research Paper

Authors

Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, Nova Scotia B2Y 4A2, Canada.

Abstract

In this paper, the performance of the MIKE21 numerical model in modeling the dispersion and transport of spilt oil related to the Deep-Water Horizon oil platform disaster in the northern part of the Gulf of Mexico is studied. Our model predicts the distribution and movement of spilt oil based on the wind-waves, current flows and vorticities taking into account evaporation, emulsion, and absorption. In this research, two types of large scale and local scale models are considered. The radiation stress of the waves, the water level and the flow speed in the Gulf are modeled using a large-scale model. After calibration and verification, the large-scale model is used to extract the boundary conditions for the local scale model and the dispersion and transport of the spilt oil is done in the local model. The accuracy of the numerical simulation using MIKE21 are confirmed by comparisons to observed satellite images. Results showed that the length of the oil spill reached 55 kilometers and covered an area of 2,800 Km2 by April 25. After two weeks, the oil spill had apparently divided into two slicks, each with an area of about 2420 and 960 Km2, respectively. Eventually, by May 28, the slick area appeared to reach over 48,400 Km2 which much of the oil evaporated because it was lightweight oil. Meanwhile, the Deep-Water Horizon oil spill occurred in spring and summer seasons; we also consider possible results assuming that the spill occurred at other times, such as autumn or winter.

Keywords

References

  1. Raoufi, S.S., Goharnejad, H. and Niri, M.Z., 2018. Air pollution effects on climate and air temperature of Tehran city using remote sensing data. Asian Journal of Water, Environment and Pollution, 15(2), pp.79-87.
  2. Asadi, A., Goharnejad, H. and Niri, M.Z., 2019. Regression modelling of air quality based on meteorological parameters and satellite data. Journal of Elementology, 24(1).
  3. ASCE Task Committee on Modeling of Oil Spills, 1996. State-of-the-art review of modeling transport and fate of oil spills. Journal of Hydraulic Engineering, 122(11), pp.594-609.
  4. Javid, A., 2002. Three dimensional modeling of contaminants transportation (oil spill) in Caspian Sea (Doctoral dissertation, Islamic Azad University, Science and Research Branch, Tehran).
  5. Armanfar, M., Goharnejad, H., Niri, M.Z. and Perrie, W., 2019. Assessment of coastal vulnerability in Chabahar Bay due to climate change scenarios. Oceanologia, 61(4), pp.412-426.
  6. Goharnejad, H. and Eghbali, A.H., 2015. Forecasting the Sea Level Change in Strait of Hormuz. World Acad Sci Eng. Technol Int J Environ Chem Ecol Geol Geophys Eng, 9, pp.1319-1322.
  7. Fay, J.A., 1969. The spread of oil slicks on a calm sea. In Oil on the Sea (pp. 53-63). Springer, Boston, MA.
  8. Fay, J.A., 1971, June. Physical processes in the spread of oil on a water surface. In International Oil Spill Conference (Vol. 1971, No. 1, pp. 463-467). American Petroleum Institute.
  9. Stolzenbach, K.D., Madsen, O.S., Adams, E.E., Pollack, A.M. and Cooper, C., 1977. A review and evaluation of basic techniques for predicting the behavior of surface oil slicks.
  10. Lehr, W.J., Cekrige, H.M, Fraga, R.J., Belen, M.S., 1984. Emprical studies of the spreading of oil spills. Oil and Petrochemical Pollution 2,7-11.
  11. Elliott, A.J., 1986. Shear diffusion and the spread of oil in the surface layers of the North Sea. Deutsche Hydrografische Zeitschrift, 39(3), pp.113-137.
  12. Weber, J.E., 1983. Steady wind-and wave-induced currents in the open ocean. Journal of Physical Oceanography, 13(3), pp.524-530.
  13. Jenkins, A.D., 1986. A theory for steady and variable wind-and wave-induced currents. Journal of Physical Oceanography, 16(8), pp.1370-1377.
  14. Al-Rabeh, A.H., Cekirge, H.M. and Gunay, N., 1989. A stochastic simulation model of oil spill fate and transport. Applied Mathematical Modelling, 13(6), pp.322-329.
  15. Fingas, M. and Fieldhouse, B., 2003. Studies of the formation process of water-in-oil emulsions. Marine pollution bulletin, 47(9-12), pp.369-396.
  16. Owens, E.H., Taylor, E. and Humphrey, B., 2008. The persistence and character of stranded oil on coarse-sediment beaches. Marine pollution bulletin, 56(1), pp.14-26.
  17. Mariano, A.J., Kourafalou, V.H., Srinivasan, A., Kang, H., Halliwell, G.R., Ryan, E.H. and Roffer, M., 2011. On the modeling of the 2010 Gulf of Mexico oil spill. Dynamics of Atmospheres and Oceans, 52(1-2), pp.322-340.
  18. North, E.W., Adams, E.E., Schlag, Z., Sherwood, C.R., He, R., Hyun, K.H. and Socolofsky, S.A., 2011. Simulating oil droplet dispersal from the Deepwater Horizon spill with a Lagrangian approach. Geophys. Monogr. Ser, 195, pp.217-226.
  19. Zhang, X., Marta-Almeida, M. and Hetland, R.D., 2012. A high-resolution pre-operational forecast model of circulation on the Texas-Louisiana continental shelf and slope. Journal of Operational Oceanography, 5(1), pp.19-34.
  20. Marques, W.C., Stringari, C.E., Kirinus, E.P., Möller Jr, O.O., Toldo Jr, E.E. and Andrade, M.M., 2017. Numerical modeling of the Tramandaí beach oil spill, Brazil—Case study for January 2012 event. Applied Ocean Research, 65, pp.178-191.
  21. French-McCay, D.P., Spaulding, M.L., Crowley, D., Mendelsohn, D., Fontenault, J. and Horn, M., 2021. Validation of Oil Trajectory and Fate Modeling of the Deepwater Horizon Oil Spill. Frontiers in Marine Science, 8, p.136.
  22. Tri, D.Q., Don, N.C. and Ching, C.Y., 2013. Trajectory modeling of marine oil spills: case study of Lach Huyen port, Vietnam. Lowland Technology International, 15, pp.41-55.
  23. Pisano, A., Bignami, F. and Santoleri, R., 2015. Oil spill detection in glint-contaminated near-infrared MODIS imagery. Remote Sensing, 7(1), pp.1112-1134.
  24. Wan, J. and Cheng, Y., 2013, June. Remote sensing monitoring of Gulf of Mexico oil spill using ENVISAT ASAR images. In 2013 21st International Conference on Geoinformatics (pp. 1-5). IEEE.
  25. Caruso, M.J., Migliaccio, M., Hargrove, J.T., Garcia-Pineda, O. and Graber, H.C., 2013. Oil spills and slicks imaged by synthetic aperture radar. Oceanography, 26(2), pp.112-123.
  26. Sun, S., Hu, C., Feng, L., Swayze, G.A., Holmes, J., Graettinger, G., MacDonald, I., Garcia, O. and Leifer, I., 2016. Oil slick morphology derived from AVIRIS measurements of the Deepwater Horizon oil spill: Implications for spatial resolution requirements of remote sensors. Marine pollution bulletin, 103(1-2), pp.276-285.
  27. Khade, V., Kurian, J., Chang, P., Szunyogh, I., Thyng, K. and Montuoro, R., 2017. Oceanic ensemble forecasting in the Gulf of Mexico: An application to the case of the Deep Water Horizon oil spill. Ocean Modelling, 113, pp.171-184.
  28. White, H.K., Conmy, R.N., MacDonald, I.R. and Reddy, C.M., 2016. Methods of oil detection in response to the Deepwater Horizon oil spill. Oceanography, 29(3), pp.76-87.
  29. Deis, D.R., Mendelssohn, I.A., Fleeger, J.W., Bourgoin, S.M. and Lin, Q., 2019. Legacy effects of Hurricane Katrina influenced marsh shoreline erosion following the Deepwater Horizon oil spill. Science of The Total Environment, 672, pp.456-467.
  30. Garcia-Pineda, O., Macdonald, I., Hu, C., Svejkovsky, J., Hess, M., Dukhovskoy, D. and Morey, S.L., 2013. Detection of floating oil anomalies from the Deepwater Horizon oil spill with synthetic aperture radar. Oceanography, 26(2), pp.124-137.
  31. Lončar, G., Leder, N. and Paladin, M., 2012. Numerical modelling of an oil spill in the northern Adriatic. Oceanologia, 54(2), pp.143-173.
  32. Badri, MA, Faghihi Fard, M., 2015, Numerical Simulation of Oil Pollution Due to Turbulence Flow Pattern, Wind and Tide Effects, Mechanical Engineering Journal, 73 (4), Pp. 15-22 (In Persian)
  33. Appendini, C.M., Torres-Freyermuth, A., Salles, P., López-González, J. and Mendoza, E.T., 2014. Wave climate and trends for the Gulf of Mexico: A 30-yr wave hindcast. Journal of Climate, 27(4), pp.1619-1632.
  34. Xue, Z., Zambon, J., Yao, Z., Liu, Y. and He, R., 2015. An integrated ocean circulation, wave, atmosphere, and marine ecosystem prediction system for the South Atlantic Bight and Gulf of Mexico. Journal of Operational Oceanography, 8(1), pp.80-91.
  35. Huang, Y., Weisberg, R.H., Zheng, L. and Zijlema, M., 2013. Gulf of Mexico hurricane wave simulations using SWAN: Bulk formula‐based drag coefficient sensitivity for Hurricane Ike. Journal of Geophysical Research: Oceans, 118(8), pp.3916-3938.
  36. Huerta, A.D. and Harry, D.L., 2012. Wilson cycles, tectonic inheritance, and rifting of the North American Gulf of Mexico continental margin. Geosphere, 8(2), pp.374-385.
  37. McNutt, M., Camilli, R., Guthrie, G., Hsieh, P., Labson, V., Lehr, B., Maclay, D., Ratzel, A., Sogge, M., 2011. Assessment of flow rate estimates for the Deepwater Horizon/Macondo Well Oil Spill. Flow Rate Technical Group report to the National Incident Command, Interagency Solutions Group, March 10, 2011.
  38. Deep water Horizon MC 252 Response Unified Area Command, 2010. Strategic Plan for Sub-Sea and Sub-Surface Oil and Dispersant Detection, Sampling, and Monitoring, November 13.
  39. Labson, V.F., Clark, R.N., Swayze, G.A., Hoefen, T.M., Kokaly, R., Livo, K.E., Powers, M.H., Plumlee, G.S., Meeker, G.P., 2010. Estimated Minimum Discharge Rates of the Deepwater Horizon Spill – Interim Report to the Flow Rate Technical Group from the Mass Balance Team. USGS Open-File Report 2010-1132
  40. Water, D.H.I., 2003. Environment, MIKE 21 Wave Modelling User Guide. DHI Software.
  41. Deigaard, R. and Hansen, E.A., 1994. Simulation of Turbulent Diffusion of Suspended Sediment by a Random Walk Mode. EV.
  42. Water, D.H.I., 2012. MIKE3 Spill Model, Spill Analysis Module User Guide. DHI Software.
  43. Goharnejad, H., Nikaein, E. and Perrie, W., 2021. Assessment of wave energy in the Persian Gulf: An evaluation of the impacts of climate change. Oceanologia, 63(1), pp.27-39.
  44. Goharnejad, H., Shamsai, A., Nazif, S. and Zakeri, N.M., 2019. Pridiction of Sea Level Rise in the South of Iran Coastline: Evaluation of Climate Change Impacts.
  45. Goharnejad, H., Shamsai, A. and Hosseini, S.A., 2013. Vulnerability assessment of southern coastal areas of Iran to sea level rise: evaluation of climate change impact. Oceanologia, 55(3), pp.611-637.
  46. Kida, S., Goto, S. and Makihara, T., 2002. Life, structure, and dynamical role of vortical motion in turbulence. National Institute for Fusion Science, Theory and Computer Simulation Center, pp.1-2.

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