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Oil Spill Simulation by Coupling Three-dimensional Hydrodynamic Model and Oil Spill Model

3차원 동수역학모형-유류확산모형 연계를 통한 유출유 거동 모의

  • Jung, Tae-Hwa (Department of Civil and Environmental Engineering, Hanbat National University) ;
  • Son, Sangyoung (School of Civil, Environmental and Architectural Engineering, Korea University)
  • 정태화 (한밭대학교 건설환경공학과) ;
  • 손상영 (고려대학교 건축사회환경공학부)
  • Received : 2018.10.08
  • Accepted : 2018.12.13
  • Published : 2018.12.31

Abstract

In this study, a new numerical modeling system was proposed to predict oil spills, which increasingly occur at sea as a result of abnormal weather conditions such as global warming. The hydrodynamic conditions such as the flow velocity needed to calculate oil dispersion were estimated using a three dimensional hydrodynamic model based on the Navier-Stokes equation, which considered all of the physical variations in the vertical direction. This improved the accuracy compared to those estimated by the conventional shallow water equation. The advection-diffusion model for the spilled oil was combined with the hydrodynamic model to predict the movement and fate of the oil. The effects of absorption, weathering, and wind were also considered in the calculation process. The combined model developed in this study was then applied to various test cases to identify the characteristics of oil dispersion over time. It is expected that the developed model will help to establish initial response and disaster prevention plans in the event of a nearshore oil spill.

Keywords

References

  1. Kim, Y.-B., 2011. Study on Prediction for Prompt Countermeasures to Oil Spread in Ocean. Journal of Ocean Engineering and Technology, 25(2), 108-112. https://doi.org/10.5574/KSOE.2011.25.2.108
  2. Beegle-Krause, J., 2001. General NOAA Oil Modeling Environment (GNOME): A New Spill Trajectory Model. Proceedings of International Oil Spill Conference(IOSC), 2001(2), 865-871.
  3. Boehm, P.D., Feist, D.L., Mackay, D., Paterson, S., 1982. Physical-Chemical Weathering of Petroleum Hydrocarbons from the Lxtoc I Blowout: Chemical Measurements and a WeatheringModel. Environmental Science and Technology, 16(8), 498-505. https://doi.org/10.1021/es00102a014
  4. Chao, X., Shankar, N.J., Cheong, H.F., 2001. Two- and Threedimensional Oil Spill Model for Coastal Waters. Ocean Engineering, 28, 1557-1573. https://doi.org/10.1016/S0029-8018(01)00027-0
  5. Chao, X., Shankar, N.J., Wang, S.Y., 2003. Development and Application of Oil Spill Model for Singapore Coastal Waters. Journal of Hydraulic Engineering, 129(7), 495-503. https://doi.org/10.1061/(ASCE)0733-9429(2003)129:7(495)
  6. Cho, Y.-S., 2014. A Numerical Study on the Spread of a Pollutant in a Coastal Environment. Energy Sources, Part A: Recovery, Utilization and Environmental Effect, 34(16), 1459-1470. https://doi.org/10.1080/15567036.2010.483450
  7. Cho, Y.-S., Kim, T.-K., Jeong, W., Ha, T., 2012. Numerical Simulation of Oil Spill in Ocean. Journal of Applied Mathematics, ID 681585, 1-15.
  8. Dalrymple, R.A., MacMahan, J.H., Reniers, J.H.M., Nelko, V., 2011. Rip Currents. Annual Review of Fluid Mechanics, 43, 551-581. https://doi.org/10.1146/annurev-fluid-122109-160733
  9. Dominicis, M.D., Pinardi, N., Zodiatis, G., Lardner, R., 2013a. MEDSLIK-II, A Lagrangian Marine Surface Oil Spill Model for Short-Term Forecasting - Part 1: Theory. Geoscientific Model Development, 6, 1851-1869. https://doi.org/10.5194/gmd-6-1851-2013
  10. Dominicis, M.D., Pinardi, N., Zodiatis, G., Archetti, R., 2013b. MEDSLIK-II, A Lagrangian Marine Surface Oil Spill Model for Short-Term Forecasting - Part 2: Numerical Simulations and Validations. Geoscientific Model Development, 6, 1871-1888. https://doi.org/10.5194/gmd-6-1871-2013
  11. Gong, K., Tkalich, P., Xy, H., 2014. The Numerical Investigation on Oil Slick Behavior Behind the Oil Boom. Journal of Environmental Protection, 5, 739-744. https://doi.org/10.4236/jep.2014.58075
  12. Jung, T.S., Kim, T.S., 2008. Prediction System of Hydrodynamic Circulation and Freshwater Dispersion in Mokpo Coastal Zone. Journal of the Korean Society for Marine Environmental Engineering, 11(1), 13-23.
  13. Jung, T.S., 2009. Numerical Simulation of Spilled Oil Dispersion in Taean Coastal Zone. Journal of the Korean Society for Marine Environmental Engineering, 12(4), 264-272.
  14. Larsen, J., Dancy, H., 1983. Open Boundaries in Short Wave Simulations - A New Approach. Coastal Engineering, 7, 285-297. https://doi.org/10.1016/0378-3839(83)90022-4
  15. Lee, J.W., Doh, D.H., Kim, K.S., Kang, S.Y., 2000. Development of Simulation Model for Diffusion of Oil Spill in the Ocean (III) - Oil Droplet Spreading Measurement Using 3-Dimensional Digital Image Processing Technique. Journal of the Korean Society of Marine Environment & Safety, 6(1), 47-55.
  16. Ma, G., Shi, F., Kirby, J.T., 2012. Shock-capturing Non-hydrostatic Model for Fully Dispersive Surface Wave Processes. Ocean Modelling, 43-44, 22-35. https://doi.org/10.1016/j.ocemod.2011.12.002
  17. Ma, G., Shi, F., Kirby, J.T., 2013. Numerical Simulation of Tsunami Waves Generated by Deformable Submarine Landslides. Ocean Modelling, 69, 146-165. https://doi.org/10.1016/j.ocemod.2013.07.001
  18. Son, S., Lynett, P., Kim, D.-H., 2009. Nested and Multi-physics Modelling of Tsunami Evolution from Generation to Inundation. Ocean Modelling, 38, 96-113.
  19. Xie, C., Deng, J., Zhuang, Y., Sun, H., 2017. Estimating Oil Pollution Risk in Environmentally Sensitive Areas of Petrochemical Terminals Based on a Stochastic Numerical Simulation. Marine Pollution Bulletin, 123(1-2), 241-252. https://doi.org/10.1016/j.marpolbul.2017.08.051
  20. Yohei, M., Naozou, K., Yuichi, M., 2007. Oil Spill Simulation of Nahotoka Accident with Princeton Ocean Model. Proceedings of the Japan Society of Naval Architects and Ocean Engineers Conference, 4, 135-138.
  21. Zelenke, B., O'Connor, C., Barker, C., Beegle-Krause, C.J., Eclipse, L., 2012. General NOAA Operation Modelling Environment (GNOME) Technical Documentation. U.S. Department of Commerce, NOAA Technical Memorandum NOS OR&R 40, 105.