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EN
The main aim of the paper is analysis of safety of the Global Baltic Network of Critical Infrastructure Networks (GBNCIN), taking into account interactions among particular critical infrastructure networks this network consists of. The safety function and other safety characteristics: the risk function and mean values and the standard deviations of the lifetimes in the safety state subsets are determined assuming the particular critical infrastructure networks have exponential safety functions. Finally, the coefficients of cascading effect impact on the intensities of degradation of the GBNCIN, and the indicator of that network resilience to cascading effect impact, are presented.
EN
This paper is a continuation of [1] which presents a probabilistic model of hazard-related interactions between different operations carried out in a (generic) Baltic Sea Region port area. Each such operation, considering its hazardous aspect, is defined as a series of undesired events (emergencies and/or accidents) occurring at random instants, i.e. as a random process. An event can be primary (occurring by itself) or secondary (caused by another event in the same or another process). The processes interact in the sense that a primary event in one process can cause a cascade of events spanning multiple processes. In [1] the formulas were derived for the cause-effect probabilities expressing the impact of a single event on the occurrence of the ensuing events in the triggered cascade. Also, the formulas for risks of undesired events, using these probabilities, were obtained. As these formulas are complicated and difficult to implement numerically, the need arose to develop a simple tool for computing the considered risks. Such a tool, in the form of an easy-toimplement algorithm, along with an illustrative example is presented in the current work.
EN
This paper presents a probabilistic model of hazard-related interdependence between the operations carried out in the ports of the Baltic Sea region and in their neighborhoods. Each single operation, considered w.r.t. its hazardous aspect, will be defined as a point process consisting of undesired events (emergencies and/or accidents). Thus, the interdependence between these processes can be regarded as interaction between such events. The developed model will specify the impact of hazard related events occurring within one process on the risk of occurrence of such events in the other processes. This model will be a basis for the analysis of inter-process dependencies, including the feedback and cascading effects, as implied by the cause-effect relationships between the events occurring in different processes. Furthermore, it is envisaged to be used for assessing the potential effects of accidents or catastrophic events, and for developing the appropriate prevention measures. The procedures derived from the model will be applied to analyzing the mutual impacts between the processes realized in the oil and container terminals, forecasting negative effects of these impacts along with assessing their costs, and planning preventive actions aimed at avoiding such effects.
EN
Critical Infrastructure (CI) Preparedness and Resilience modelling, simulation & analysis (MS&A) receive a strong interest from systems safety and risk management engineering and research communities. This technical and scientific interest responds to the rapid growth of the use of the smart technology in the modern society activities. The concept of resilience in CIP is not yet clearly defined. However, a probabilistic model is proposed describing the robustness and the resilience of a well-defined infrastructure facing a given threat.
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