Computational geometry
; Graphic methods
; Oil spills
; Random processes
; Gaussian random walk
; Individual particles
; Oil slicks
; Oil-spill model
; Random-walk method
; Theoretical modeling
; Voronoi diagrams
; Voronoi tessellations
; Elementary particle sources
; marine pollution
; modeling
; oil spill
; random walk method
; oil spill
; stochastic model
; theoretical model
; thickness
; algorithm
; analysis
; oil spill
; theoretical model
; water pollutant
; water pollutant
; Algorithms
; Models, Theoretical
; Petroleum Pollution
; Water Pollutants, Chemical
Scopus学科分类:
Agricultural and Biological Sciences: Aquatic Science
; Earth and Planetary Sciences: Oceanography
; Environmental Science: Pollution
英文摘要:
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. � 2017 Elsevier Ltd
Department of Petroleum Natural Gas Engineering, Middle East Technical University, Ankara, Turkey; Department of Environmental Technology, SINTEF Materials and Chemistry, Trondheim, Norway
Recommended Citation:
Durgut İ.,Reed M.. Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams[J]. Marine Pollution Bulletin,2017-01-01,118(2018-01-02)