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Modelling climate-weather change process including extreme weather hazards for port oil piping transportation system

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The climate-weather change process for the critical infrastructure operating area is considered and its states are defined. Further, the semi-Markov process is used to create a general probabilistic model of the climate-weather change process for the critical infrastructure operating area. To construct this model the vector of probabilities of the climate-weather change process staying at the initials climate-weather states, the matrix of probabilities of the climate-weather change process transitions between the climate-weather states, the matrix of conditional distribution functions and the matrix of conditional density functions of the climate-weather change process conditional sojourn times at the climate-weather states are defined. Preliminary applications of the proposed model to the climate-weather change process for the port oil transportation system operation area are presented.
Rocznik
Strony
31--40
Opis fizyczny
Bibliogr. 33 poz., rys., wykr.
Twórcy
autor
  • Institute of Meteorology and Water Management - NRI, Warsaw, Poland
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
  • Maritime University, Gdynia, Poland
autor
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • [1] Barbu, V. & Limnios, N. (2006). Empirical estimation for discrete-time semi-Markov processes with applications in reliability. Journal of Nonparametric Statistics 18, 7-8, 483-498.
  • [2] Drzazga, M., Kołowrocki, K., Soszyńska-Budny, J. et al. (2016). Port oil piping transportation critical infrastructure assets and interconnections, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 1, 37-42.
  • [3] EU-CIRCLE Report D1.2-GMU1 (2016). Identification of existing critical infrastructures at the Baltic Sea area and its seaside, their scopes, parameters and accidents in terms of climate change impacts.
  • [4] EU-CIRCLE Report D1.3-GMU4 (2015). Contributions to generating questionnaire of end user needs.
  • [5] EU-CIRCLE Report D2.1-GMU2 (2016). Modelling outside dependences influence on Critical Infrastructure Safety (CIS) – Modelling Critical Infrastructure Operation Process (CIOP) including Operating Environment Threats (OET).
  • [6] EU-CIRCLE Report D2.1-GMU3 (2016). Modelling climate-weather change process including extreme weather hazards.
  • [7] EU-CIRCLE Report D2.1-GMU4 (2016). Modelling outside dependences influence on Critical Infrastructure Safety (CIS) - Designing Critical Infrastructure Operation Process General Model (CIOPGM) related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH) by linking CIOP and CWCP models.
  • [8] EU-CIRCLE Report D2.3-GMU2 (2016). Identification methods and procedures of Climate-Weather Change Process (C-WCP) including Extreme Weather Hazards (EWH).
  • [9] EU-CIRCLE Report D3.1-GMU1 (2016). Port Oil Piping Transportation Critical Infrastructure Assets and Interconnections.
  • [10] EU-CIRCLE Report D3.2-GMU1 (2016). Identification of Climate Related Hazards at the Baltic Sea Area and their Critical/Extreme Event Parameters’ Exposure for Port Oil Piping Transportation Critical Infrastructure.
  • [11] EU-CIRCLE Report D3.3-GMU12 (2017). Integration of the Integrated Model of Critical Infrastructure Safety (IMCIS) and the Critical Infrastructure Operation Process General Model (CIOPGM) into the General Integrated Model of Critical Infrastructure Safety (GIMCIS) related to operating environment threads (OET) and climate-weather extreme hazards (EWH).
  • [12] Ferreira, F. & Pacheco, A. (2007). Comparison of level-crossing times for Markov and semi-Markov processes. Statistics and Probability Letters 7, 2, 151-157.
  • [13] Glynn, P. W. & Haas, P. J. (2006). Laws of large numbers and functional central limit theorems for generalized semi Markov processes. Stochastic Models 22, 2, 201-231.
  • [14] Grabski, F. (2002). Semi-Markov Models of Systems Reliability and Operations Analysis. System Research Institute, Polish Academy of Science (in Polish).
  • [15] Guze, S., Kołowrocki, K. & Soszyńska, J. (2008). Modeling environment and infrastructure influence on reliability and operation processes of port transportation systems. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 2, 1, 179-188.
  • [16] Habibullah, M. S., Lumanpauw, E., Kolowrocki, K. et al. (2009). A computational tool for general model of industrial systems operation processes. Electronic Journal Reliability & Risk Analysis: Theory & Applications 2, 4, 181-191.
  • [17] Jakusik, E., Kołowrocki, K., Kuligowska, E. et al. (2016). Identification methods and procedures of climate-weather change process including extreme weather hazards for maritime ferry operating at Baltic Sea open waters, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 3, 73-80.
  • [18] Jakusik, E., Kołowrocki, K., Kuligowska, E. et al. (2016). Identification methods and procedures of climate-weather change process including extreme weather hazards for the maritime ferry operating at Gdynia port area, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 3, 65-72.
  • [19] Jakusik, E., Kołowrocki, K., Kuligowska, E. et al. (2016). Identification methods and procedures of climate-weather change process including extreme weather hazards of port oil piping transportation system operating at land Baltic seaside area, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 3, 57-64.
  • [20] Jakusik, E., Kołowrocki, K., Kuligowska, E. et al. (2016). Identification methods and procedures of climate-weather change process including extreme weather hazards for port oil piping transportation system operating at under water Baltic Sea area, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 3, 47-56.
  • [21] Jakusik, E., Kołowrocki, K., Kuligowska, E. et al. (2016). Modelling climate-weather change process including extreme weather hazards for maritime ferry, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 3, 41-46.
  • [22] Kołowrocki, K. (2004). Reliability of Large Systems. Elsevier Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • [23] Kołowrocki, K. (2014). Reliability of large and complex systems, Elsevier, ISBN: 978080999494.
  • [24] Kolowrocki, K. & Soszynska, J. (2009). Modeling environment and infrastructure influence on reliability and operation process of port oil transportation system. Electronic Journal Reliability & Risk Analysis: Theory & Applications 2, 3, 131-142.
  • [25] Kolowrocki, K. & Soszynska, J. (2009). Safety and risk evaluation of Stena Baltica ferry in variable operation conditions. Electronic Journal Reliability & Risk Analysis: Theory & Applications 2, 168-180.
  • [26] Kolowrocki, K. & Soszynska, J. (2010). Reliability modeling of a port oil transportation system’s operation processes. International Journal of Performance Engineering 6, 1, 77-87.
  • [27] Kolowrocki, K. & Soszynska, J. (2010). Reliability, availability and safety of complex technical systems: modelling –identification – prediction – optimization. Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 4, 133-158.
  • [28] Kolowrocki, K & Soszynska-Budny, J. (2011). Reliability and Safety of Complex Technical Systems and Processes: Modelling-Identification-Prediction-Optimization. Springer, ISBN: 9780857296931.
  • [29] Kołowrocki, K., Soszyńska-Budny, J. & Torbicki, M. (2016). Identification of climate related hazards at the Baltic Sea area and their critical / extreme event parameters’ exposure for port oil piping transportation critical infrastructure, Journal of Polish Safety and Reliability Association, Summer Safety & Reliability Seminars 7, 1, 127-132.
  • [30] Limnios, N. & Oprisan, G. (2005). Semi-Markov Processes and Reliability. Birkhauser, Boston.
  • [31] Mercier, S. (2008). Numerical bounds for semi - Markovian quantities and application to reliability. Methodology and Computing in Applied Probability 10, 2, 179-198.
  • [32] Soszyńska, J. (2007). Systems reliability analysis in variable operation conditions. PhD Thesis, Gdynia Maritime University-System Research Institute Warsaw (in Polish).
  • [33] Soszyńska, J., Kołowrocki, K., Blokus-Roszkowska, A. et al. (2010). Prediction of complex technical systems operation processes. Journal of Polish Safety and Reliability Association, Summer Safety and Reliability Seminars 4, 2, 379-510.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-cc77f863-3357-496f-a751-cc3c94c74303
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