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

• Autorzy: Bogalecka M. , Kołowrocki K.
• Języki publikacji: EN

Abstrakty

EN

In the paper, the process of environment degradation at the Baltic Sea area identification is performed. Next, the main characteristics of this process are predicted.

Słowa kluczowe

EN

Baltic Sea region; critical infrastructure; sea accident; accident consequences; environment degradation

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2017
• Tom: Vol. 8, No. 3
• Strony: 131--138
• Opis fizyczny: Bibliogr. 16 poz.

Twórcy

autor

Bogalecka M.

• Maritime University, Gdynia, Poland

autor

Kołowrocki K.

• Maritime University, Gdynia, Poland

Bibliografia

• 1. Bogalecka M., Analysis of sea accidents initial events, Polish Journal of Environmental Studies, 19(4A), 5-8, 2010
• 2. Bogalecka M., Kołowrocki K., Modelling, identification and prediction of environment degradation initial events process generated by critical infrastructure accidents. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 6(1), 47-66, 2015a
• 3. Bogalecka M., Kołowrocki K., The process of sea environment threats generated by hazardous chemicals release. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 6(1), 67-74, 2015b
• 4. Bogalecka M., Kołowrocki K., Modelling critical infrastructure accident consequences - an overall approach. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 7(1), 1-13, 2016
• 5. Bogalecka M., Kołowrocki K., Integrated model of critical infrastructure accident consequences. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 8(3), 43-52, 2017
• 6. EU-CIRCLE Report D3.3-GMU21, Modelling critical infrastructure accident consequences - designing the General Model of Critical Infrastructure Accident Consequences (GMCIAC), 2016
• 7. EU-CIRCLE Report D3.3-GMU22, Identification of unknown parameters of the General Model of Critical Infrastructure Accident Consequences (GMCIAC), 2016
• 8. EU-CIRCLE Report D3.3-GMU23, Adaptation of the general model of critical infrastructure accident consequences (GMCIAC) to the prediction of critical infrastructure accident consequences, 2016
• 9. Grabski F., Semi-Markov processes: applications in system reliability and maintenance. Elsevier, 2015
• 10. Kołowrocki K., Reliability of large systems. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2004
• 11. Kołowrocki K., Reliability of large and complex systems. Amsterdam, Boston, Heidelberd, London, New York, Oxford, Paris, San Diego, San Francisco, Singapore, Sidney, Tokyo, Elsevier, 2014
• 12. Kołowrocki K., Soszyńska-Budny J., A general model of industrial systems operation processes related to their environment and infrastructure. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars, 2(2), 223-226, 2008
• 13. Kołowrocki K., Soszyńska-Budny J., Reliability and safety of complex technical systems and processes: modeling - identification - prediction - optimization. London, Dordrecht, Heildeberg, New York, Springer, 2011
• 14. Limnios N., Oprisan G., Semi-Markov processes and reliability. Birkhauser, Boston, 2005
• 15. Macci C., 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, 2008
• 16. Mercier S., Numerical bounds for semi-Markovian quantities and application to reliability. Methodology and Computing in Applied Probability, 10(2), 179198, 2008

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).