With the increase in climate-change-related hazardous events alongside population
concentration in urban centres, it is important to provide resilient cities with tools for …

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 …

Kerala experiences a high rate of annual rainfall and flooding resulting in a frequent natural
disaster. The objective of this study is to develop flood susceptibility maps for the Idukki …

The Majalaya area is one of the most valuable economic districts in the south of Greater
Bandung, West Java, Indonesia, and experiences at least six floods per year. The floods are …

Flooding is a recurrent hazard occurring worldwide, resulting in severe losses. The
preparation of a flood susceptibility map is a non-structural approach to flood management …

Floods are considered one of the most common natural hazards in the Eastern
Mediterranean. In western Syria, floods annually cause dozens of casualties with massive …

Situated within the Ring of Fire and characterized by a tropical climate and high seismic
activity, Indonesia is uniquely vulnerable to natural disasters such as floods and landslides …

The objective of this study was to develop a theoretical framework based on machine
learning, the hydrodynamic model, and the analytic hierarchy process (AHP) to assess the …

Abstract The Nyabarongo basin in Rwanda is subjected to hydrometeorological hazards,
particularly floods, which are the most prevailing and devastating. Therefore, understanding …

Flood events have the potential to impact every aspect of life, economic loss and casualties
can quickly be coupled with damages to agricultural land, infrastructure, and water quality …