- The tools
- Documentation and presentations
- More information
Quantitative, high resolution Hotspot Tool to be used on the hotspots [P1]:
A. Planning phase: evaluate the effectiveness of DRR measures in hot spots
- Compute effect of DRR measures on storm impact with model asystem. For the planning phase 100s of model simulations can be run, describing a range of storm conditions, physical setting and DRR measures. The choice of model can be tailored to each site.
- Results of all model simulations and measured data are stored in a Bayesian Network. Bayesian Network identifies probabilistic relations between storm characteristics and DRR measures, and local hazards and impacts. It can help design, assess and optimise DRR measures in the hotspot location (e.g., seawall versus flood-proofing) [T1] and [P2]. To set up a Bayesian network decision support system (DSS), a Bayesian Network adaptor (BN Adaptor) is needed, see [T2], which makes use of the GeNie freeware [T3].
B. Event phase as part of a realtime Early Warning System
In the project, Delft-FEWS (Flood Early Warning System), originally developed for river flooding application, was extended to be used on coasts. With this system real-time surge, wave and coastal erosion and flooding predictions can be made [T4]. Model adaptors have been developed or improved in order to work with models such as XBeach, Delft3D, TELEMAC, SELFE and SWAN [T5].
The results of the Hotspot tool are visualized in the web-based viewer [T6].
|T1||Demo Bayesian Decision Support System||
DSS Demonstration [.zip download with click]
|T2||Bayesian Network Adapter and Instructions|
FEWS Infrastructure [.zip downloads with click]
|T5||Model adapters FEWS|
DOCUMENTATION AND PRESENTATIONS
|P1||EWS-DSS Hotspot Tool||
|P2||Bayesian DRR Workshop||
|P4||How-To Hotspot Tool||