Mixing Analysis of Oil Spilled into the River by GPS-equipped Drifter Experiment and Numerical Modeling

GPS 부자 실험과 수치모델링에 의한 하천에 유입된 유류오염물질의 거동 해석

Jang, Juhyoung;Jong, Jaehun;Mun, Hyunsaing;Kim, Kyunghyun;Seo, Ilwon

  • Received : 2015.09.01
  • Accepted : 2016.04.06
  • Published : 2016.05.30


In cases of water pollution accidents, accurate prediction for arrival time and concentration of contaminants in a river is essential to take proper measures and minimize their impact on downstream water intake facilities. It is critical to fully understand the behavior characteristics of contaminants on river surface, especially in case of oil spill accidents. Therefore, in this study, the effects of main parameters of advection and diffusion of contaminants were analyzed and validated by comparing the results of Lagrangian particle tracking (LPT) simulation of Environmental Fluid Dynamic Code (EFDC) model with those of Global Position System (GPS)-equipped drifter experiment. Prevention scenario modeling was accomplished by taking cases of movable weir operation into account. The simulated water level and flow velocity fluctuations agreed well with observations. There was no significant difference in the speed of surface particle movement between 5 and 10 layer modeling. Therefore, 5 layer modeling could be chosen to reduce computational time. It was found that full three dimensional modeling simulated wind effects on surface particle movements more sensitively than depth-averaged two dimensional modeling. The diffusion range of particles was linearly proportional to horizontal diffusivity by sensitivity analysis. Horizontal diffusivity estimated from the results of GPS-equipped drifter experiment was 0.096 m2/sec, which was considered to be valid for applying the LPT module in this area. Finally, the scenario analysis results showed that particle movements could be stagnant when discharge from the upstream weir was reduced, implying the possibility of securing time for mitigation actions such as oil boom installation and wiping oil contaminants. The outcomes of this study can help improve the prediction accuracy of particle tracking simulation to establish the most suitable mitigation plan considering the combination of movable weir operation.


GPS-equipped drifter;Lagrangian particle tracking;Mitigation plan;Oil spill;Sensitive analysis


  1. Carracedo, P., Torres-Lóez, S., Barreiro, M., Montero, P., Balseiro, C. F., Penabad, E., Leitao, P. C., and Pérez-Muñuzuri, V. (2006). Improvement of Pollutant Drift Forecast system Applied to the Prestige Oil Spills in Galicia Coast (NW of Spain): Development of an Operational System, Marine Pollution Bulletin, 53, pp. 350-360.
  2. Ji, Z. G. (2007). Hydrodynamics and Water Quality: Modeling Rivers, Lakes, and Estuaries, pp. 1-670.
  3. Dunsbergen, D. W. and Stalling, G. S. (1993). The Combination of Random Walk Method and a Hydrodynamic Model for the Simulation of Dispersion of Dissolved Matter in Water, Transactions on Ecology and the Environment, 2, pp. 235-242.
  4. Dynamic Solutions-International. (2009). Implementation of a Lagrangian Particle Tracking Sub-Model for the Environmental Fluid Dynamics Code, pp. 475-482.
  5. Furnans, J., Imberger, J., and Hodges, B. R. (2008). Including Drag and Inertia in Drifter Modelling, Environmental Modeling & Software, 23, pp. 714-728.
  6. Lee, C. J., Kim, W., Kim, C. Y., and Kim, D. G. (2009). Measurement of Velocity and Discharge in Natural Stream with the Electronic Float System, Journal of the Korean Society of Civil Engineers, 29(4B), pp. 329-337. [Korean Literature]
  7. Messias, M. J., Watson, A. J., Johannessen, T., Oliver, K. I. C., Olsson, K. A., Fogelqvist. E., Olafsson, J., Bacon, S., Balle, J., Bergman, N., Budéus, G., Danielsen, M., Gascard, J. C., Jeansson, E., Olafsdottir, S. R., Simonsen, K., Tanhua, T., Van Scoy, K., and Ledwell, J. R. (2008). The Greenland Sea tracer experiment 1996-2002: Horizontal mixing and Transport of Greenland Sea Intermediate Water, Progress in Oceanography, 78, pp. 85-105.
  8. Ministry of Environment (MOE). (2013). Response Manual for Large Scale Water Quality Pollution Accident, Ministry of Environment. [Korean Literature]
  9. Ministry of Land, Infrastructure and Transport Environment (MOLIT). (2013a). Korea Annual Hydrological Report, Ministry of Land, Infrastructure and Transport Environment. [Korean Literature]
  10. Ministry of Land, Infrastructure and Transport Environment (MOLIT). (2013b). Water Resources Management Information System (WAMIS), (accessed 2015).
  11. National Institute of Environmental Research (NIER). (2010) Construction of Integrated Water Quality Management System, National Institute of Environmental Research, pp. 1-182. [Korean Literature]
  12. Mun, H. Y., Jang, J. H., Ryu, I. G., and Kim, J. Y. (2012). Development of Web Based Realtime Water Pollution Accident Response Management System in Rivers, Journal of Korean Society of Hazard Mitigation, 12(2), pp. 145-150. [Korean Literature]
  13. Mun, H. Y., Kang, T. G., Lee, S. W., Na, E. H., Lee, H., Park, S. Y., Jang, J. H., and Jong, J. H. (2013). Transport and scenario modeling of oil spill in the Nakdong River, NIER-RP2013-299, National Institute of Environmental Research, pp. 1-30. [Korean Literature]
  14. National Institute of Environmental Research (NIER). (2008) Multidimensional Analysis on Material Transport in Lake Paldang (II), National Institute of Environmental Research, pp. 1-130. [Korean Literature]
  15. National Institute of Environmental Research (NIER). (2013) Development and Validation of Simulation Technique of Advection-Dispersion of Water Pollutants Using Field Measurement (III), National Institute of Environmental Research, pp. 1-323. [Korean Literature]
  16. Seo, I, W., Baek, K. O., Jeon, T. M., Lee, D. H., and Jung, S. H. (2004). Development and Application of Tracer Tests for 2-D Mixing Analysis in Natural Streams, SWRRC Techinal Report TR 2004-02, Sustainable Water Resources Research Center, pp. 1-63. [Korean Literature]
  17. Seo, I. W., Park, I. H., Kim, Y. D., Han, E. J., Choo, M. H., and Mun, H. S. (2013). Mixing Analysis of Floating Pollutant Using Lagrangian Particle Tracking Model, Journal of Korean Society on Water Environment, 29(3), pp. 393-399. [Korean Literature]
  18. Shen, Y. and Diplas, P. (2008). Application of Two- and Threedimensional Computational Fluid Dynamics Models to Complex Ecological Stream Flows, Journal of Hydrology, 348, pp. 195-214.
  19. Wang, S. D., Shen, Y. M., Guo, Y. K., and Tang, J. (2008). Three-dimensional Numerical Simulation for Transport of Oil Spills in Seas, Ocean Engineering, 35, pp. 503-510.
  20. Stevens, C. (2010). Short-term Dispersion and Turbulence in a Complex-shaped Embayment, Continental Shelf Research, 30, pp. 393-402.
  21. Swick, W. and MacMahan, J. (2009). The Use of Position-Tracking Drifters in Riverine Environments, OCEANS 2009, MTS/IEEE Biloxi-Marine Technology for Our Future: Global and Local Challenges, Biloxi, pp. 1-10.
  22. Tetra Tech, Inc. (2007). The Environmental Fluid Dynamics Code User Manual, pp. 1-231.
  23. Yang, C. S., Kim, D. Y., and Oh J. H. (2009). Study on Improvement of Oil Spill Prediction Using Satellite Data and Oil-spill Model: Hebei Spirit Oil Spill, Korean Journal of Remote Sensing, 25(5), pp. 435-444. [Korean Literature]


Grant : BK21플러스

Supported by : 서울대학교