WHY IS IT NEEDED
- With this model, disaster managers can trigger early actions for typhoon FbF protocols.
WHERE ARE WE IMPLMENTING IT
- Currently in use in Philippines.
HOW DO WE DO IT
We Built a model based on historical data that captures the relationship between Impact (the house damages) and all the explanatory variables. (1) Whilst using forecast to predict impact.
WHAT ARE THE INPUTS
- For building the model:
Exposure, Vulnerability & Coping capacity indicators
Historical typhoon data:
Wind speed, rainfall & typhoon path, lose & damage data/Impact data # of damaged houses from government sources.
- For predicting impact:
Forecasted typhoon path, rainfall & wind speed.
WHAT ARE THE OUTPUTS
- An automated map of predicted percentage of building damage per municipality. (1)
WHAT COMES NEXT
- Integrate probabilistic impact prediction in the IBF model.