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2023 Journal Impact Factor - 0.7
2023 CiteScore - 1.4
ISSN 2083-6473
ISSN 2083-6481 (electronic version)
Editor-in-Chief
Associate Editor
Prof. Tomasz Neumann
Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
e-mail transnav@umg.edu.pl
Oil Spill Models: A State of the Art of the Grid Map as a Function of Wind, Current and Oil Parameters
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: An integrated model, which contains flow and transport-fate modules, will be presented for simulating transport and fate of oil spills at seas. The flow module uses different kinds of meshes that provide great flexibility for modeling the flow in complex geometries of currents and barriers. The refined grid resolution in regions of interest is important. Horizontal diffusion is simulated using random walk techniques in a Monte Carlo framework, whereas the vertical diffusion process can be solved on the basis of the Langeven equation. The model contains the most significant processes which affect the motion of oil particles. For a better fit to the curvature of the coastline there are used unstructured non overlapping rectangular or triangle grid cells. Special attention must be paid to choose the horizontal and vertical resolution in simulating the oil trajectory in the coastal area.
KEYWORDS: Oil Spill, Monte Carlo Model, Wind, Current, Oil Spill Model, Grid Map, Oil Parameters, Langeven Equation
REFERENCES
Choi, Y.J. & Abe, A. & Takahashi, K.2010. Development of oil–spill simulation system based on the global ocean–atmosphere model. Proceedings of The 6th International Symposium on Gas Transfer at Water Surfaces, Kyoto, JAPAN, pp 559-570.
Fogarty, P. 2003. Catching the Fire on Grids.Master of Science Thesis. University of Vermont.
French, Wendell L. 1998. Human Resources Management. New York: Houghton Mifflin.
Mazurek, J. & Smolarek, L. 2012. Estimation of surrounding the spillage time. Journal of Polish Safety and Reliability Association 3(2), pp 245-250.
Mridula, G. & Choudhary, S. & Kalla, S. L. 2009.On the sum of two triangular random variables. International Journal of Optimization: Theory, Methods and Applications, pp 279-290.
Morita, I. & Sugioka, S. & Kojima, T. 1997. Real-time forecasting model of oil spill spreading. International Oil Spill Conference Proceedings: April 1997 No.1, pp559-566.
Reed, M. & Johansen, Ø. & Brandvik, P.J. & Daling, P. & Lewis, A. & Fiocco, R. & Mackay, D. & Prentki, R. 1999. Oil spill modeling toward the close of the 20th century: overview of the state of the art. Spill Science and Technology Bulletin 5(1), pp 3‒16.
Technical paper: Use of models in oil spill response. Industry Technical Advisory Committee-ITAC,http://www.industry-tac.org/technical_docu-ments/documents/techdoc-uses_of_oil_spill_models.pdf
Citation note:
Mazurek J., Smolarek L.: Oil Spill Models: A State of the Art of the Grid Map as a Function of Wind, Current and Oil Parameters. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 7, No. 1, doi:10.12716/1001.07.01.02, pp. 19-23, 2013
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