Agap-AI (Anticipate AI): A Community Level Predictive Flood Risk Mapping System
Philippines · Asia Pacific · Rizal and Catanduanes
About this project
The project addresses the pervasive threat of severe urban flooding, amplified by climate change, to which the Philippines is highly susceptible due to its geographical and hydrological characteristics. It moves beyond reactive response to proactive, data-driven adaptation by transforming generalized hazard maps into a predictive, site-specific risk assessment platform. This provides LGUs with the essential intelligence for smarter urban planning and guiding flood mitigation projects.
Investment classification
CBRT classification (theme · sector · sub-sector)
Resilient Social Systems›Public administration›Disaster risk reduction
Mobility dimension
Origin
Corridor
Destination
Avoided displacement
Investment type
Adapting measure
Adapted activity
Enabling measure
Enabling activity
Climate impact
Flood damageChanges to marine conditionsMass movement (landslide/erosion)
Funding spectrum
PreparednessAdaptation
Matching
Status
Seeking
Required
USD 25,000
Band A · 1:1
RICD displacement risk
RICD Risk: High
Composite displacement risk for the project location from the RICD diagnostic (hazard exposure, vulnerability, adaptive capacity), on the five-level scale Very Low → Very High.