Floods represent a significant threat to human life, property, and agriculture, especially in
low-lying floodplains. This study assesses flood susceptibility in the Brahmaputra River …

Climate change and anthropogenic factors have exacerbated flood risks in many regions
across the globe, including the Himalayan foothill region in India. The Jia Bharali River …

This work proposes a new approach by integrating statistical, machine learning, and multi-
criteria decision analysis, including artificial neural network (ANN), logistic regression (LR) …

Nepal, known for its challenging topography and fragile geology is confronted with the
constant threat of floods leading to substantial socio-economic losses annually. However …

Frequent floods are a severe threat to the well-being of people the world over. This is
particularly severe in developing countries like India where tropical monsoon climate …

Hazardous flooding occurs across most climate zones. Owing to the lack of appropriate
infrastructures and applicable predictive methods, flooding in arid and semi-arid regions …

Flood is considered one of the most dangerous natural disasters among all-natural
disasters. Prediction of flood susceptible areas is a primary task for adopting management …

This study combines machine learning (ML) algorithms with statistical models to generate
new hybrid models for flood susceptibility mapping (FSM) in the Teesta River basin of …

Floods around the world are having devastating effects on human life and property. In this
paper, three Multi-Criteria Decision-Making (MCDM) analysis techniques (VIKOR, TOPSIS …

Progressive environmental and climatic changes have significantly increased
hydrometeorological threats all over the globe. Floods have gained global significance …