Flood susceptibility maps are useful tool for planners and emergency management
professionals in the early warning and mitigation stages of floods. In this study, Sentinel-1 …

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 …

Rainfall monsoons and the resulting flooding have always been cataclysmic disasters that
have heightened global concerns in light of climate change. Flood susceptibility modeling is …

The main objective of this work is the future prediction of the floods in India due to climate
and land change. Human activity and related carbon emissions are the primary cause of …

The frequent occurrence of floods and waterlogging has significantly impacted coastal cities.
Effective map** of flood risk can enhance the precision of disaster risk reduction …

Multi-dimensional risk assessment strategies aided by the active participation of
stakeholders are essential to combat flood events for metropolitan cities. This study aims to …

Abstract Decision Support System (DSS) is an approach for smart management of different
man-made and natural phenomena such as flood disasters. In the present study, different …

Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …

This research proposes a novel step-wise binary prediction framework for the susceptibility
assessment of geo-hydrological hazards specific to floods and landslides. The framework of …

Flood, a distinctive natural calamity, has occurred more frequently in the last few decades all
over the world, which is often an unexpected and inevitable natural hazard, but the losses …