Identyfikatory
Warianty tytułu
Konferencja
14th Summer Safety & Reliability Seminars - SSARS 2020, 26-30 September 2020, Ciechocinek, Poland
Języki publikacji
Abstrakty
The probabilistic general model of critical infrastructure accident consequences consists of three particular models of semi-Markov processes such as: the process of initiating events generated by a critical infrastructure accident, the process of environmental threats coming from released chemicals that are a result of initiating events and the process of environmental degradation as a result of environmental threats. The general model of critical infrastructure accident consequences and procedure of its application to the maritime transport critical infrastructure understood as a network of ships operating at the sea waters is presented in the research. By using the statistical data coming from sea accidents reports, the general model is applied to the identification and prediction of the environmental degradation associated with ship accidents and chemical releases within the Baltic Sea. Moreover, the proposed model is applied to estimate the environmental losses associated with these accidents and the environmental degradation in the neighborhood area.
Rocznik
Strony
33--49
Opis fizyczny
Bibliogr. 31 poz., tab.
Twórcy
Bibliografia
- [1] Andersson, K., Brynolf, S., Lindgren, J. F. & Wilewska-Bien, M. (Eds.). 2016. Shipping and the Environment. Improving Environmental Performance in Marine Transportation. Springer, Berlin, Heidelberg.
- [2] Blokus-Roszkowska, A., Bogalecka, M. & Kołowrocki, K. 2016. Critical infrastructure networks at Baltic Sea and its seaside. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(2), 7-14.
- [3] Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents - Environmental Impacts. Modeling - Identification - Prediction - Optimization - Mitigation. Elsevier, Amsterdam, Oxford, Cambridge (MA).
- [4] Bogalecka, M. & Kołowrocki, K. 2015. Modelling, identification and prediction of environmental 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.
- [5] Bogalecka, M. & Kołowrocki, K. 2015. The process of sea environmental threats generated by hazardous chemicals release. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 6(1), 67-74.
- [6] Bogalecka, M. & Kołowrocki, K. 2017. Integrated model of critical infrastructure accident consequences. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 8(3), 43-54.
- [7] Bogalecka, M. & Kołowrocki, K. 2017. Statistical identification of critical infrastructure accident consequences process, Part 1, Process of initiating events. Proceedings of 17th Applied Stochastic Models and Data Analysis International Conference with Demographics Workshop - ASMDA 2017. International Society for the Advancement of Science and Technology, London, 153-166.
- [8] Bogalecka, M. & Kołowrocki, K. 2017. Statistical identification of critical infrastructure accident consequences process, Part 2, Process of environment threats. Proceedings of 17th Applied Stochastic Models and Data Analysis International Conference with Demographics Workshop - ASMDA 2017. International Society for the Advancement of Science and Technology, London, 167-178.
- [9] Bogalecka, M. & Kołowrocki, K. 2017. Statistical identification of critical infrastructure accident consequences process, Part 3, Process of environment degradations. Proceedings of 17th Applied Stochastic Models and Data Analysis International Conference with Demographics Workshop - ASMDA 2017. International Society for the Advancement of Science and Technology, London, 179-189.
- [10] Bogalecka, M. & Kołowrocki, K. 2018. 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.
- [11] Bogalecka, M. & Kołowrocki, K. 2018. Prediction of critical infrastructure accident losses of chemical releases impacted by climate-weather change. Proceeding of 2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok, 788-792.
- [12] Bogalecka, M. Kołowrocki, K., Soszyńska-Budny, J., Ledóchowski, M. & Reszko M. 2016. Shipping critical infrastructure network. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 7(2), 43-52.
- [13] CEDRE. 2020. Centre of Documentation, Research and Experimentation on Accidental Water Pollution. www.cedre.fr (accessed 13 Aug 2020).
- [14] GISIS, 2020. Global Integrated Shipping Information System, International Maritime Organization. https://webaccounts.imo.org (accessed 13 Aug 2020).
- [15] Grabski, F. 2015. Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Sidney - Tokyo.
- [16] Iosifescu, M. 1980. Finite Markov Processes and their Applications. John Wiley & Sons, New York.
- [17] Kołowrocki, K. 2013. Safety of critical infrastructures. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 4(1), 51-72.
- [18] Kołowrocki, K. 2014. Reliability of Large and Complex Systems. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sidney - Tokyo.
- [19] Kołowrocki, K. & Soszyńska-Budny, J. 2011. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, London - Dordrecht - Heildeberg - New York.
- [20] Kołowrocki, K. & Soszyńska-Budny, J. 2012. Introduction to safety analysis of critical infrastructures. Proceeding of International Conference on Quality, Reliability, Risk, Maintenance and Safety Engineering – QR2MSE 2012. Institute of Electrical and Electronics Engineers, Chendgu, 1-6.
- [21] Korolyuk, V. S., Brodi, S. M. & Turbin, A. F. 1975. Semi-Markov processes and their applications. Journal of Soviet Mathematics 4(3), 244-280.
- [22] Kristiansen, S. 2005. Maritime Transportation: Safety Management and Risk Analysis. Elsevier, Amsterdam - Boston - Heidelberd - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sidney - Tokyo.
- [23] Lauge, A., Hernantes, J. & Sarriegi, J. M. 2015. Critical infrastructure dependencies: a holistic, dynamic and quantitative approach. International Journal of Critical Infrastructure Protection, 8, 16-23.
- [24] Lévy, P. 1954. Proceesus semi-markoviens. Proceedings of International Congress of Mathematicians. North-Holland, Amsterdam, 416-426.
- [25] Limnios, N. & Oprisan, G. 2001. Semi-Markov Processes and Reliability. Birkhauser, Boston.
- [26] Macci, C. 2008. Large deviations for empirical estimators of the stationary distribution of a semiMarkov process with finite state space. Communications in Statistics - Theory and Methods 37(9), 3077-3089.
- [27] Mercier, S. 2008. Numerical bounds for semiMarkovian quantities and application to reliability. Methodology and Computing in Applied Probability 10(2), 179-198.
- [28] Popek, M. 2016. Response of international shipping to the current environmental challenges Proceedings of 1st International Conference on the Sustainable Energy and Environment Development (SEED 2016). Book Series E3S Web of Conferences 10 UNSP 00075.
- [29] Pursiainen, Ch. 2007. Critical infrastructure protection in the Baltic Sea region. Towards a Baltic Sea Region Strategy in Critical Infrastructure Protection. Nordregio, Stockholm, 1–54.
- [30] Rinaldi, S. M., Peerenboom, J. P. & Kelly, T. K. 2001. Identifying, understanding, and analyzing critical infrastructure interdependencies. IEEE Control Systems Magazine 21(6), 11-25.
- [31] Smith, W. L. 1955. Regenerative stochastic processes. Proceedings of the Royal Society of London. Series A, Mathematical and Physical Sciences 232, 631.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6ac8a822-e23b-487e-8415-eeb06b4efe67