Ensemble learning for enhancing critical infrastructure resilience to urban flooding

Extreme rainfall and flooding severely impact urban systems by disrupting access to critical services, interrupting mobility, and posing challenges for emergency management. Accurate road network flood prediction remains challenging due to complex flow dynamics, coarse-resolution traditional models, and limited data. The insights gained from this study can help improve urban flood prediction which is crucial for enhancing community resilience to extreme weather events.