Risk management of flash floods in arid mountainous cities is challenged by the lack of
proper data and the unreadiness of infrastructures to handle large floods. Climate …

This study aims to map flood susceptibility in the Qaa'Jahran watersheds located in Dhamar,
Yemen, using geoprocessing and computational techniques. Historical flood data and SAR …

The city of Jeddah experienced a severe flood in 2020, resulting in loss of life and damage
to property. In such scenarios, a flood forecasting model can play a crucial role in predicting …

Climate change has exacerbated the water resources situation by producing erratic rainfall
patterns, fading away ice sheets, increasing sea levels, floods, and droughts. Rising …

Recent years have seen an increase in floods with severe damage due to the intensity and
frequency of rains. One of the periodic hydrological problems affecting Jeddah city, the …

Flood risk assessment is an important tool for urban planning, land development, and
hydrological analysis. The flood risks are very high in arid countries due to the nature of the …

In light of recent improvements in flood susceptibility mapping using machine learning
models, there remains a lack of research focusing on employing ensemble algorithms like …

Riverbank erosion is one of the most catastrophic hazards that renders floodplains
vulnerable across the world vulnerable. It creates a significant negative impact on the …

This study explores and compares the predictive capabilities of various ensemble
algorithms, including SVM, KNN, RF, XGBoost, ANN, DT, and LR, for assessing flood …

Coastal environments are highly recognized for their spectacular morphological features
and economic activities, such as agriculture, maritime traffic, fishing, and tourism. In the …