ISSN 2083-6473
ISSN 2083-6481 (electronic version)




Associate Editor
Prof. Tomasz Neumann

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
Monte Carlo Simulation Approach to Determination of Oil Spill Domains at Port and Sea Water Areas
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: Monte Carlo simulation method of oil spill domains determination based on the probabilistic approach to the solution of this problem is proposed. A semi-Markov model of the process of changing hydro-meteorological conditions is constructed and its parameters are defined. The general stochastic model of oil spill domain movement for various hydro-meteorological conditions is described. Monte Carlo simulation procedure is created and applied to generating the process of changing hydro-meteorological conditions and the prediction of the oil spill domain movement impacted by these changes conditions.
Al-Rabeh A. H., Cekirge H. M. & Gunay N. A. 1989. Stochastic simulation model of oil spill fate and transport, Applied Mathematical Modelling, p. 322-329. - doi:10.1016/0307-904X(89)90134-0
Bogalecka, M. & Kołowrocki, K. 2018. Minimization of critical infrastructure accident losses of chemical releases impacted by climate-weather change, Proc. International Conference on Industrial Engineering and Engineering Management - IEEM, Bangkok, Thailand. - doi:10.1109/IEEM.2018.8607506
Chen, H, Li, D. & Li, X. 2007. Mathematical modeling of oil spill on the sea and application of the modeling in Daya Bay, Journal of Hydrodynamics, Ser. B: Elsevier, (19)3, 282-291. - doi:10.1016/S1001-6058(07)60060-2
Dąbrowska, E. 2019. Monte Carlo simulation approach to reliability analysis of complex systems, PhD Thesis, System Research Institute, Polish Academy of Science, Warsaw, Poland (under examination).
Dąbrowska, E. & Kołowrocki, K. 2019A. Modelling, identification and prediction of oil spill domains at port and sea water areas, Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 10(1), 43-58.
Dąbrowska, E. & Soszyńska-Budny, J. 2018. Monte Carlo simulation forecasting of maritime ferry safety and resilience, Proc. International Conference on Industrial Engineering and Engineering Management - IEEM, Bangkok, Thailand. - doi:10.1109/IEEM.2018.8607464
Fay J. A. 1971. Physical Processes in the Spread of Oil on a Water Surface. Proceedings of Joint Conference on Prevention and Control of Oil Spills, sponsored by American Petroleum Industry, Environmental Protection Agency, and United States Coast Guard. - doi:10.7901/2169-3358-1971-1-463
Fingas, M. 2016. Oil Spill Science and Technology, 2nd Edition, Elsevier.
Grabski, F., Jaźwiński, J. .2009. Funkcje o losowych argumentach w zagadnieniach niezawodności, bezpieczeństwa i logistyki. Wydawnictwa Komunikacji i Łączności: Warszawa.
Guze, S., Kolowrocki, K. & Mazurek, J. 2017. Modelling spread limitations of oil spills at sea. Proc. The 17th Conference of the Applied Stochastic Models and Data Analysis – ASMDA, London, UK
Guze S., Mazurek J. & Smolarek L. 2016. Use of random walk in two-dimensional lattice graphs to describe influence of wind and sea currents on oil slick movement. Journal of KONES Powertrain and Transport, Vol. 23, No. 2. - doi:10.5604/12314005.1213583
Huang J. C. 1983. A review of the state-of-the-art of oil spill fate/behavior models. International Oil Spill Conference Proceedings: February 1983, Vol. 1983, No. 1, p. 313-322. - doi:10.7901/2169-3358-1983-1-313
Kim, T., Yang , C.-S., Ouchi, K. & Oh, Y. 2013. Application of the method of moment and Monte-Carlo simulation to extract oil spill areas from synthetic aperture radar images, OCEANS - San Diego, 1-4.
Kołowrocki, K. 2014. Reliability of large and complex systems, Elsevier. - doi:10.1002/9781118445112.stat03659
Kołowrocki, K. & Soszyńska-Budny, J. 2011. Reliability and Safety of Complex Technical Systems and Processes: Modelling - Identification - Prediction - Optimization, London, Dordrecht, Heildeberg, New York: Springer. - doi:10.1007/978-0-85729-694-8
Kuligowska, E. 2017. Monte Carlo Simulation of Complex System Reliability Evaluation. Chapter in Monograph: Current research in mathematical and computer sciences. Red. A. Lecko, Wydawnictwo UWM: Olsztyn, 139-152.
Kuligowska, E. 2018. Monte Carlo simulation of climate-weather change process at maritime ferry operating area, Technical Sciences, University of Warmia and Mazury in Olsztyn, 1(21), 5-17. - doi:10.31648/ts.2563
Law, A. M. & Kelton, W. D. 2000. Simulation Modeling and Analysis, 3rd ed., McGraw Hill.
NOAA. Trajectory Analysis Handbook. NOAA Hazardous Material Response Division. Seattle: WA, http://www.response.restoration.noaa.gov/.
Rao, M. S., & Naikan, V. N. A. 2016. Review of simulation approaches in reliability and availability modeling, International Journal of Performability Engineering, 12 (4), 369-388.
Zio, E. & Marseguerra, M. 2002. Basics of the Monte Carlo Method with Application to System Reliability, LiLoLe.
Spaulding M. L. 1988. A state-of-the-art review of oil spill trajectory and fate modeling. Oil and Chemical Pollution, Vol. 4, Issue 1, 39-55. - doi:10.1016/S0269-8579(88)80009-1
Citation note:
Dąbrowska E., Kołowrocki K.: Monte Carlo Simulation Approach to Determination of Oil Spill Domains at Port and Sea Water Areas. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 14, No. 1, doi:10.12716/1001.14.01.06, pp. 59-64, 2020

Other publications of authors:

P. Dziula, M. Jurdziński, K. Kołowrocki, J. Soszyńska

File downloaded 69 times

Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony