Flood damage is often severe and directly affects housing, transport infrastructure, industrial,
service, commercial, and land use. A flood risk assessment based on vulnerability indicators …

Urban waterlogging is a severe hazard that can directly damage environmental quality and
human well-being. It would be desirable for hazard mitigation planning and sustainable …

The exponential growth in the number of flash flood events is a global threat, and detecting a
flood-prone area has also become a top priority. The flash flood-susceptibility mapping can …

Floods is a natural hazard that occurs over a short time with a high transmission speed.
Flood risk management in many countries employs flood susceptibility modeling to mitigate …

This study aims to examine three machine learning (ML) techniques, namely random forest
(RF), LightGBM, and CatBoost for flooding susceptibility maps (FSMs) in the Vietnamese Vu …

Landslides frequently occur along the eastern margin of the Tibetan Plateau, which poses a
risk to the construction, maintenance, and transportation of the proposed Dujiangyan city to …

The objective of this study was the development of an approach based on machine learning
and GIS, namely Adaptive Neuro-Fuzzy Inference System (ANFIS), Gradient-Based …

Unexpected flood due to climate change has caused tremendous damage to both lives and
properties, especially in tropical areas. Nigeria Southeastern region has been devastated by …

In riverine nations like Bangladesh, floods are frequent, bringing disaster that impairs
people's lives and the national economy. Due to climate change, uncontrolled growth, rapid …

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 …