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ISSN 2083-6481 (electronic version)
 

 

 

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Associate Editor
Tomasz Neumann
 

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TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@am.gdynia.pl
Consequences of Maritime Critical Infrastructure Accidents with Chemical Releases
1 Gdynia Maritime University, Gdynia, Poland
ABSTRACT: The probabilistic general model of critical infrastructure accident consequences including three models of the process of the initiating events generated by a critical infrastructure accident, the process of the environment threats and the process of environment degradation is created and adopted to the maritime transport critical infrastructure understood as a ship network operating at the sea waters and then applied to accident consequences modeling, identification and to these consequences optimization and mitigation.
REFERENCES
Bogalecka, M. & Kołowrocki, K. 2016. Modelling critical infrastructure accident consequences – an overall approach. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(1): 1-13. - doi:10.1063/1.4952224
Bogalecka, M. & Kołowrocki, K. 2017a. General model of critical infrastructure accident consequences application to chemical spill consequences generated by dynamic ship critical infrastructure network operating at the Baltic Sea waters. Part 1. Process of initiating events. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(3): 117-121.
Bogalecka, M. & Kołowrocki, K. 2017b. General model of critical infrastructure accident consequences application to chemical spill consequences generated by dynamic ship critical infrastructure network operating at the Baltic Sea waters. Part 2. Process of environment threats. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(3): 123-129.
Bogalecka, M. & Kołowrocki, K. 2017c. General model of critical infrastructure accident consequences application to chemical spill consequences generated by dynamic ship critical infrastructure network operating at the Baltic Sea waters. Part 3. Process of environment degradation. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(3): 131-138.
Bogalecka, M. & Kołowrocki, K. 2017d. Integrated model of critical infrastructure accident consequences. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(3): 43-52.
Bogalecka, M. & Kołowrocki, K. 2017e. Integrated impact model on critical infrastructure accident consequences related to climate-weather change process. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(4): 67-75.
Bogalecka, M. & Kołowrocki, K. 2018a. Chemical spill due to extreme sea surges critical infrastructure chemical accident (spill) consequences related to climate-weather change. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 9(2): 65-77.
Bogalecka, M. & Kołowrocki, K. 2018b. Optimization of critical infrastructure accident consequences related to climate-weather change process influence – losses minimizing. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 9(1): 11-16.
Bogalecka, M. & Kołowrocki, K. 2018c. Prediction of critical infrastructure accident losses of chemical releases impacted by climate-weather change. Proceedings of 2018 IEEE International Conference on Industrial Engineering and Engineering Management 788-792. - doi:10.1109/IEEM.2018.8607506
Etkin, D.S. 1999. Estimating cleanup costs for oil spills. 1999 International oil spill conference proceedings paper 168. - doi:10.7901/2169-3358-1999-1-35
GMU Safety Interactive Platform. http://gmu.safety.umg.edu. pl. Accessed 13 Dec 2018.
Goldstein, M. & Ritterling, J. 2001. A practical guide to estimating cleanup costs. U.S. EPA Papers paper 30. - doi:10.1002/rem.1018
Grabski, F. 2015. Semi-Markov processes: applications in system reliability and maintenance. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Sidney, Tokyo: Elsevier.
HELCOM. 2002. Manual on co-operation in response to marine pollution within the framework of the convention on the protection of the marine environment of the Baltic Sea area. Helsinki.
IMO. 2002. International convention on oil pollution preparedness, response and co-operation 1990 with protocol on preparedness, response and co-operation to pollution incidents by hazardous and noxious substances 2000. London: IMO Publishing.
Klabjan, D. & Adelman, D. 2006. Existence of optimal policies for semi-Markov decision processes using duality for infinite linear programming. SIAM Journal on Control and Optimization 44(6): 2104-2122. - doi:10.1137/S0363012903437290
Kołowrocki, K. 2014. Reliability of large and complex systems. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo: Elsevier.
Kołowrocki K. & Soszyńska-Budny, J. 2011. Reliability and safety of complex technical systems and processes: modeling – identification – prediction – optimization. London, Dordrecht, Heildeberg, New York: Springer. - doi:10.1007/978-0-85729-694-8
Kołowrocki, K., Soszyńska-Budny, J. & Torbicki, M. 2017 Critical infrastructure operating area climate-weather change process including extreme weather hazards. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(2): 15-24.
Kontovas, C.A., Ventikos, N.P. & Psaraftis, H.N. 2011 Estimating the consequences costs of oil spills from tankers. Proceedings of SNAME 2011 Annual Meeting. Houston.
Kristiansen, S. 2005 Maritime transportation: safety management and risk analysis. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo: Elsevier.
Kuligowska, E. 2017. Identification and prediction of climate-weather change process for maritime ferry operating area. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(2): 129-134.
Limnios N. & Oprisan, G. 2005. Semi-Markov processes and reliability. Boston: Birkhauser.
Macci, C. 2008. Large deviations for empirical estimators of the stationary distribution of a semi-Markov process with finite state space. Communications in Statistics-Theory and Methods 37(9): 3077-3089. - doi:10.1080/03610920802065081
Mamaca, E., Girin, M., le Floch, S. & el Zir R. 2009. Review of chemical spills at sea and lessons learnt. Proceedings of Interspill conference & exhibition. Marseille.
Mercier, S. 2008. Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability 10(2): 179-198. - doi:10.1007/s11009-007-9035-5
Psaraftis, H.N. 2008. Environmental risk evaluation criteria. Proceedings of 2nd international workshop of risk-based approaches to the maritime industry. Glasgow. - doi:10.1007/BF03195142
Vercellis, S. 2009. Data mining and optimization for decision making. John Wiley & Sons Ltd.
Citation note:
Bogalecka M.: Consequences of Maritime Critical Infrastructure Accidents with Chemical Releases. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13, No. 4, doi:10.12716/1001.13.04.09, pp. 771-779, 2019

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