This thesis deals with infrastructure network vulnerability analysis in the natural disaster context. This paper illustrates how each of these cases has been realized, explains how this work can be used to advance different aspects of crisis management preparedness and discusses if and why learning in virtual worlds can be more effective than from real world events.
Application prototypes cover different risk (floods, snowstorms, earthquakes, forest fires, accidental pollutions, mass accidents) and illustrate how the CRISMA framework can be used in a relatively simple but integrated manner to develop fully fledged decision support applications. CRISMA targeted use cases in the preparatory phase of crisis management: short and long-term planning, desktop training and assessment in field trainings.
STARUML ER DIAGRAM ADD AUTOINCREMENT SOFTWARE
The EU FP7 project CRISMA (– “Modelling crisis management for improved action and preparedness” has developed a methodology and software framework for simulation-based decision support systems. The best available alternative is learning by doing in a simulated crisis situation or during an exercise. Due to rarity of such events, many crisis managers, regional planers and other stakeholders have no first-hand experience in handling them. "Learning by doing" to improve resilience and planning is difficult to do, especially for low-probability/high-impact events and for multi-hazards with cascading effects. Success of crisis management largely depends on: (1) inherent resilience of the society (2) preparedness level of the first responders and (3) right "gut feeling" of crisis managers. This paper provides foundation to go towards a decision aiding process. The analysis might lead to decisions to enhance weak points. Vulnerability analysis is not end in itself. Parameters static and dynamic attributes are identified. Hence any analysis might begin by parameters identification. It depends on the system robustness and resilience. We found out that vulnerability is multi-views. Inherent vulnerability assessment constraints are also presented.
The approach is based on views from infrastructure initial and final states. We provide vulnerability assessment methodology and formula. Our method includes territory specifics, flow circulation, influence of mitigation and aggravation factors, feared event evaluation. The way of including environmental relevant parameters is presented.
Through a case study, a methodology is presented. This paper deals with robustness and resilience assessment of such systems under natural disaster. A failure in a natural disaster context could lead to a crisis situation. If there is any better approach, please let me know.Infrastructure network failure such as power grid, gas and telecommunication systems might perturb societies well-functioning. This feels like a super hacky solution, but it works well. My eventual solution was to create an extension that monkey-patches the functionality I want on to the ERD classes. My next attempt was to make an extension that provided a MetaModel based on the ERD one, but getting all the context menus and toolbox stuff to work seemed overly complicated. I tried modifying the js file (I eventually figured out this is because the actual executable seems to run from the minified main.js. So I started looking at erd/ERD.js since the erd module isn't really documented at all, and it was pretty clear that there was no way to show anything besides the key info, name, and type.
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