The computational expensiveness of the hydrodynamic models and the complexity of the
rainfall-runoff transformation process presents a pressing need to shift to machine learning …

With the increasing risk of coastal flooding facing coastal communities due to climate
change, coastal flood warnings (CFWs) are expected to play a critical role in the protection …

Urban flood risk map** has become crucial for effective mitigation and urban planning.
This study assesses and maps flood risk in the city of Zaio, Morocco, using machine learning …

When compounded by climate change, ecosystem degradation puts coastal communities at
increased vulnerability to hazards. However, there have been few quantitative assessments …

Storm tides, which combine sea level rise (SLR), astronomical tides, and storm surges
generated by tropical cyclones, pose significant threats to coastal zones, leading to flooding …

Although an international concern and management challenge, sea level rise (SLR) has
disparate secondary effects across locations due to variations in coastal topography and …

Flood models, while representing our best knowledge of a natural phenomenon, are
continually evolving. Their predictions, albeit undeniably important for flood risk …

In this study, a coupla risk combinations and co** strategies have been developed for
confronting conflicts between population–economy development and water resource …

Floods are one type of disaster triggered by climate change that occurs globally. Many cities
in the world have responded to combat climate change by establishing a number of action …

Coastal flood protection measures are increasingly vital due to climate change and rising
sea levels, and their long-term success depends on both technical efficacy and local …