Across the globe, the damage caused by urban floods has increased manifold. The
unchecked development has encroached the natural drainage, and the conventional …

Floods are natural hazards that lead to devastating financial losses and large displacements
of people. Flood susceptibility maps can improve mitigation measures according to the …

Flood has long been known as one of the most catastrophic natural hazards worldwide.
Map** flood-prone areas is an important part of flood disaster management. In this study …

Floods have destroyed people's lives as well as social and environmental assets. Flooding
is becoming more severe and frequent as a result of climate change and an increase in …

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

Floods are one of the most devastating natural events that lead to enormous and recurring
loss of life, properties, and resources around the globe. In India, floods remain a major …

Integrating powerful machine learning models with flood risk assessment and determining
the potential mechanism between risk and the driving factors are crucial for improving flood …

Flood, a perennial phenomenon mainly in low lying deltaic areas and flood plain regions,
can be viewed as beneficial for enhancing soil fertility and agricultural production, but also …

Climate change and flooding are related issues on the Earth's surface, while numerous
lowland areas, especially delta regions, are mostly affected by flood hazards. Hence, flood …

In recent years, floods have acquired global importance due to their devastating nature that
can cause massive damage to infrastructure and society. The Himalayan foothill is very …