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RISC-KIT's new deliverable "Bayesian Decision Support System" is now available for download!

Find the new RISC-KIT "Bayesian Decision Support System" deliverable along with supporting material and apply it to your site to predict impacts resulting from coastal multi-hazards!

 

RISC-KIT’s new deliverable "Bayesian Decision Support System (DSS)" "describes the framework of the Bayesian-based decision support system (DSS) for coastal multi hazards (RISC-KIT deliverable 3.3).

 

By connecting hazard intensities with socio-economic, environmental and cultural properties of different receptor types, the DSS allows for the prediction of impacts resulting from coastal multi-hazards for various hot spot areas.

 

Bayesian network (BN), the modeling approach used, is ƒdata driven model that describes system relations in probabilistic terms. Generally, BNs are pre-fed with data from which they “learn” relationships and can then be used to predict or diagnose events. The graphical user interface is very similar to causal diagrams. The DSS is based on data from hydrodynamic storm simulations, information on land use and so-called vulnerability relationships.

 

The approach can easily be applied to any hot spot area. This report introduces the general framework and explains how the system can be configured at individual sites. Moreover, ƒdemo DSS is presented for the Belgian town of Zeebrugge, which can predict spatially varying inundation depths and damages to buildings for different storm scenarios. Furthermore, it can be used to diagnose under which storm conditions and where on the site the highest damages occur.

 

D3.3 "Bayesian Decision Support System (DSS)" [.pdf] includes the full set-up, use and demonstration documentation as well as an actual Demonstration of the DSS [.zip] in the software Netica, a free version for which can be found here. The full D3.3 [.zip] is also available for download here as well as in the Project Results area of the website.

 

 

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