Impedances: duration, cost, fixed cost, probability
Description
The use case Loire Flooding began with the GéNéPi project, thanks to the data and geographical information recovered by our partner CEREMA. It is now developped by the SANCTUM project. The hydrological data, coming from two SPC, enables us to simulate a 1/100 year flood in the Middle Loire Area. The dangers and risks due to this crisis situation are automatically recovered by R-IOSuite which can link the new risks to risks that are in its knowledge base. A suited response process can then be deduced to support and coordinate the different stakeholdersVar Flooding ...
Knowledge base (KB - frozen world)
The frozen models
| Functions | Objectives |
|---|---|
The predefined links between one objective and one function from the knowledge base:
| Function | -satisfies-> | Objective |
|---|---|---|
| Prepare and activate crisis cells | 100% | prevent a lack of preparation in the event of a major flood |
| Prepare for evacuation | 100% | prevent a lack of time in the event of an evacuation |
| Evacuate city, monitor dykes | 100% | prevent mass casualties |
| Assist people and secure traffic | 100% | treat dyke failure |
| Rebuild and ensure network recovery | 100% | treat drinking water cuts, power cuts, homelessness |
World as an input
The Context
The stakeholders
Predefined links to the knowledge base
| Function | -near-> | Frozen function (KB) |
|---|---|---|
| Save and rescue | 100% | Save and rescue |
| Evacuate | 100% | Evacuate |
| Lunch evacuation? (decision) | 100% | Lunch evacuation? (decision) |
| Etc. | Etc. | Etc. |
Objective and process to be deduced before the flood peak
- Lunch and start "Orleans Vigicrues" Sensor
- Synchronize
- Lunch the deduction of the process with the Satisfaction strategy for Crisis
The sensors
The objectives models
The strategy of process deduction
Expected process
Projected situation
+ 80h