DocumentCode :
3356379
Title :
Numerical prediction of oil spill trajectory and fate in Pearl River estuary
Author :
Liao, Guoxiang ; Li, Maofeng
Author_Institution :
Navig. Coll., Wuhan Univ. of Technol., Wuhan, China
fYear :
2010
fDate :
26-28 June 2010
Firstpage :
2153
Lastpage :
2157
Abstract :
A numerical model was developed for predicting the oil spill trajectory and fate in the Pearl River estuary. The model has been coupled with a hydrodynamic model, which can generate the necessary current field for oil spill prediction. In this model, the Lagrangian oil particle tracking algorithm has been used to predict the trajectory of spilled oil, and the oil spill fate processes including advection and diffusion, surface spreading, evaporation, dissolution, entrainment, emulsification and shoreline interaction are taken into account. The model was applied to simulate the “Hyundai Advance” oil spill incident that happened in the Pearl River estuary, the simulated surface current filed is well calibrated with the historical observation data, and the simulated oil spill trajectory are in good agreement with the field observed data. The application study shows that the model can be used either as a real-time basis to predict the movement of oil spill or as a risk assessment tool for the possible impact of accidental oil spills.
Keywords :
numerical analysis; particle tracks; risk management; river pollution; Hyundai advance oil spill incident; Lagrangian oil particle tracking algorithm; accidental oil spills; hydrodynamic model; numerical prediction; oil spill trajectory; pearl river estuary; risk assessment tool; shoreline interaction; surface spreading; Accidents; Equations; Hydrodynamics; Marine vehicles; Numerical models; Petroleum; Predictive models; Rivers; Sea surface; Trajectory; Fate; Numerical prediction; Oil spill; Pearl River estuary; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7737-1
Type :
conf
DOI :
10.1109/MACE.2010.5536062
Filename :
5536062
Link To Document :
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