Extending Voronoi-diagram based modeling of oil slick spreading to surface tension-viscous spreading regime

Date

2020-11-01

Author

Durgut, İsmail
Reed, Mark

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

276
views

0
downloads

An earlier paper demonstrated a methodology for modeling the spreading process with a Gaussian random walk procedure, but was limited to the gravity-viscous spreading regime. Here we extend the methodology of re-presenting spread and transport of oil slicks on calm sea surface by updated Voronoi diagrams to account for the surface tension-viscous spreading regime as well. We have utilized the analogy between diffusion and spreading processes by defining a step length for the particle-based random walk scheme. In this study, calculation of the diffusive length is improved by including the surface tension term in the numerical solution method. The results from the numerical simulation of the spreading oil slick agree very well with the analytical solutions. The solution is robust in that good agreement is achieved for a large range of model and numerical solution parameters. This modeling procedure remains valid only for passive, quiescent spreading. The inclusion of spreading due to important horizontal and vertical turbulent shear processes in the Voronoi diagram paradigm remains a challenge for future work.

Subject Keywords

Aquatic Science, Pollution, Oceanography

URI

https://hdl.handle.net/11511/69492

Journal

MARINE POLLUTION BULLETIN

DOI

https://doi.org/10.1016/j.marpolbul.2020.111663

Collections

Department of Petroleum and Natural Gas Engineering, Article

Suggestions

OpenMETU
Core

A statistical riverine litter propagation model Balas, CE; Williams, AT; Simmons, SL; Ergin, Ayşen (Elsevier BV, 2001-11-01) A statistical riverine litter propagation (RLP) model based on importance sampling Monte Carlo (ISMC) simulation was developed in order to predict the frequency distribution of certain litter types in river reaches. The model was preliminarily calibrated for plastic sheeting by a pilot study conducted on the River Taff, Wales (UK). Litter movement was predominantly controlled by reach characteristics, such as vegetation overhang and watercourse obstructions. These affects were modeled in the simulations, by...
Modeling spreading of oil slicks based on random walk methods and Voronoi diagrams Durgut, İsmail (Elsevier BV, 2017-05-15) 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 tessellatio...
Application of genetic algorithms to calibration and verification of QUAL2E Göktaş, Recep Kaya; Aksoy, Ayşegül; Department of Environmental Engineering (2004) The objective of this study is to develop a calibration and verification tool for the QUAL2E Model by using Genetic Algorithms. In the developed optimization model, an objective function that is formulated on the basis of the sum-of-least squares approach aiming at minimizing the difference between the observed and simulated quantities was used. In order to perform simultaneous calibration and verification, verification of the calibrated results was treated as a constraint and inserted into the objective fu...
Neural network models as a management tool in lakes Karul, C; Soyupak, S; Yurteri, C (Springer Science and Business Media LLC, 1999-01-01) A research was made on the potential use of neural network based models in eutrophication modelling. As a result, an algorithm was developed to handle the practical aspects of designing, implementing and assessing the results of a neural network based model as a lake management tool. To illustrate the advantages and limitations of the neural network model, a case study was carried out to estimate the chlorophyll-a concentration in Keban Dam Reservoir as a function of sampled water quality parameters (PO4 ph...
Measurement of the inclusive 3-jet production differential cross section in proton-proton collisions at 7 TeV and determination of the strong coupling constant in the TeV range Khachatryan, V.; et. al. (Springer Science and Business Media LLC, 2015-05-01) This paper presents a measurement of the inclusive 3-jet production differential cross section at a proton-proton centre-of-mass energy of 7 TeV using data corresponding to an integrated luminosity of 5 fb(-1) collected with the CMS detector. The analysis is based on the three jets with the highest transverse momenta. The cross section is measured as a function of the invariant mass of the three jets in a range of 445-3270 GeV and in two bins of the maximum rapidity of the jets up to a value of 2. A compari...

Citation Formats

İ. Durgut and M. Reed, “Extending Voronoi-diagram based modeling of oil slick spreading to surface tension-viscous spreading regime,” MARINE POLLUTION BULLETIN, pp. 0–0, 2020, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/69492.