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Oil transport in port. Part 2. Port oil piping transportation system safety and resilience impacted by the climate-weather change process

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper is concerned with the application of the model of critical infrastructure safety prediction with considering its climate-weather change impacts. The general approach to the prediction of critical infrastructure safety and resilience is proposed and the safety and resilience indicators are defined for a critical infrastructure impacted by climate-weather change process. Moreover, there is presented the model application for port oil piping transportation system safety and resilience prediction. Further, the cost analysis of critical infrastructure impacted by climate-weather change process is proposed and applied to the considered piping system.
Rocznik
Strony
29--42
Opis fizyczny
Bibliogr. 5 poz., wykr.
Twórcy
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
  • Gdynia Maritime University, Gdynia, Poland
autor
  • Gdynia Maritime University, Gdynia, Poland
Bibliografia
  • [1] Blokus-Roszkowska, A., Bogalecka, M., Kołowrocki, K., Kuligowska, E., Soszyńska-Budny, J., Torbicki, M., Inventory of Critical Infrastructure Impact Assessment Models for Climate Hazards, Task 3.4 Inventory of Critical Infrastructure Impact Assessment Models for Climate Hazards, Task 3.5, Holistic Risk Assessment Propagation Model, EU-CIRCLE Report D3.3-Part3-Critical Infrastructure Safety and Resilience Indicators-V1.0, 2017.
  • [2] Kołowrocki, K., Kuligowska, E., Soszyńska-Budny, J., Torbicki, M., Oil Transport in Port – Safety and Resilience of Port Oil Piping Transportation System Related to Climate Weather Change, Part 0.
  • [3] Port Oil Piping Transportation System Safety Without Outside Impacts, EU-CIRCLE Report for D6.4, GMU-V1.0, 2017.
  • [4] Kołowrocki, K., Soszyńska-Budny, J., Reliability and Safety of Complex Technical Systems and Processes: Modeling – Identification – Prediction – Optimization, 1st ed. London: Springer-Verlag, 2011.
  • [5] GMU Safety Interactive Platform http://gmu.safety.am.gdynia.pl/
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-d06356d4-c414-4b69-bcee-377a0d0a34b3
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