Class imbalance (CI) in classification problems arises when the number of observations
belonging to one class is lower than the other. Ensemble learning combines multiple models …

Predictions of floods, droughts, and fast drought‐flood transitions are required at different
time scales to develop management strategies targeted at minimizing negative societal and …

As one of nature's most destructive calamities, floods cause fatalities, property destruction,
and infrastructure damage, affecting millions of people worldwide. Due to its ability to …

Over the past decades, the scientific community has made significant efforts to simulate
flooding conditions using a variety of complex physically based models. Despite all …

Urban pluvial floods induced by rainstorms can cause severe losses to human lives and
property. Fast and accurate simulation and prediction of urban pluvial flood are of …

Ensemble forecasting applied to the field of hydrology is currently an established area of
research embracing a broad spectrum of operational situations. This work catalogs the …

Traditional approaches to flood modelling mostly rely on hydrodynamic physical simulations.
While these simulations can be accurate, they are computationally expensive and …

Rapid advances that improve flood management have facilitated the disaster response by
providing first aid services, finding safe routes, maintaining communication and developing …

Surface water (or pluvial) flooding is caused by intense rainfall before it enters rivers or
drainage systems. As the climate changes and urban populations grow, the number of …

Abstract Model Predictive Control (MPC) has recently gained increasing interest in the
adaptive management of water resources systems due to its capability of incorporating …