Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams

Date

2017-05-15

Author

Durgut, İsmail

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We introduce a methodology for representation of a surface oil slick using a Voronoi diagram updated at each time step. The Voronoi cells scale the Gaussian random walk procedure representing the spreading process by individual particle stepping. The step length of stochastically moving particles is based on a theoretical model of the spreading process, establishing a relationship between the step length of diffusive spreading and the thickness of the slick at the particle locations. The Voronoi tessellation provides the areal extent of the slick particles and in turn the thicknesses of the slick and the diffusive-type spreading length for all particles. The algorithm successfully simulates the spreading process and results show very good agreement with the analytical solution. Moreover, the results are robust for a wide range of values for computational time step and total number of particles.

Subject Keywords

Aquatic Science, Pollution, Oceanography

URI

https://hdl.handle.net/11511/35433

Journal

MARINE POLLUTION BULLETIN

DOI

https://doi.org/10.1016/j.marpolbul.2017.02.038

Collections

Department of Petroleum and Natural Gas Engineering, Article

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Citation Formats

İ. Durgut, “Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams,” MARINE POLLUTION BULLETIN, pp. 93–100, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/35433.