Identification and prediction of climate-weather change process for port oil piping transportation system operating area

• Autorzy: Torbicki M.
• Języki publikacji: EN

Abstrakty

EN

The paper is concerned with an application of the climate-weather change process for a critical infrastructure operating area model to identification and prediction of this process for the port oil piping transportation system operating area. For the considered piping operating area, there are distinguished three different climate-weather change processes and their states. Further, there are identified the unknown parameters of those processes, i.e. the probabilities of the climate-weather change processes staying at the initial climate-weather states, the probabilities of the climate-weather change transitions between the climate-weather states and the mean values of the climate-weather change processes' conditional sojourn times at particular states. Finally, there are predicted the main characteristics of the climate-weather change processes at the distinguished operating area.

Słowa kluczowe

EN

climate-weather change process; identification; prediction; piping operating area; extreme weather hazards

• Wydawca: Polskie Towarzystwo Bezpieczeństwa i Niezawodności
• Czasopismo: Journal of Polish Safety and Reliability Association
• Rocznik: 2017
• Tom: Vol. 8, No. 2
• Strony: 107--112
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Torbicki M.

• Gdynia Maritime University, Gdynia, Poland

Bibliografia

• [1] EU-CIRCLE Report D2.1-GMU3. (2016). Modelling Climate-Weather Change Process Including Extreme Weather Hazards.
• [2] EU-CIRCLE Report D2.2-GMU5. (2016). Climate Change Related Data Collection for the Port Oil Piping Transportation and the Maritime Ferry Operating at the Baltic Sea Area.
• [3] EU-CIRCLE Report D2.3-GMU2. (2016). Identification Methods and Procedures of Climate-Weather Change Process Including Extreme Weather Hazards.
• [4] EU-CIRCLE Report D3.3-GMU3-C-WCP. (2016). Critical Infrastructure Operating Area Climate-Weather Change Process (C-WCP) Including Extreme Weather Hazards (EWH) CWCP Model.
• [5] EU-CIRCLE Report D6.4-GMU1. (2017). Critical Infrastructure Operation Process General Model (CIOPGM) Application to Port Piping Transportation System Operation Process Related to Operating Environment Threats (OET) and Extreme Weather Hazards (EWH).
• [6] Kołowrocki, K., Soszyńska-Budny, J. & Torbicki, M. (2017). Critical infrastructure operating area climate-weather change process including extreme weather hazards, Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association 8, 2, 15-24.
• [7] Kołowrocki, K. & Soszyńska-Budny, J. (2017). Identification methods and procedures of climateweather change process including extreme weather hazards, Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association 8, 2, 85-95.
• [8] Kołowrocki, K. & Soszyńska-Budny, J. (2017). Integrated impact model on critical infrastructure safety related to climate-weather change process including extreme weather hazards, Summer Safety & Reliability Seminars. Journal of Polish Safety and Reliability Association 8, 4, 21-32.
• [9] Kołowrocki, K. Soszyńska-Budny, J. & Torbicki, M. Critical infrastructure integrated safety model related to climate-weather change process application to port oil piping transportation system operating at land Baltic seaside area. 27th ESREL Conference Proceedings, European Safety and Reliability Conference 2017, Portoroz, Slovenia, 2017, to appear.
• [10] Kuligowska, E. & Torbicki, M. Climate-weather change process realizations uniformity testing for port oil piping transportation system operating area. 17th ASMDA Conference Proceedings, Applied Stochastic Models and Data Analysis 2017, London, United Kingdom, 2017, to appear.
• [11] Kuligowska, E. & Torbicki, M. Identification and prediction of climate-weather change processes for port oil piping transportation system and maritime ferry operation areas after their realisations successful uniformity testing. 17th ASMDA Conference Proceedings, Applied Stochastic Models and Data Analysis 2017, London, United Kingdom, 2017, to appear.

Uwagi

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