Floods, one of the most common natural hazards globally, are challenging to anticipate and
estimate accurately. This study aims to demonstrate the predictive ability of four ensemble …

Abstract Global Digital Elevation Models (GDEMs) have been increasingly used to assess
the risk of flooding worldwide. However, their effectiveness and the performance of flood risk …

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 …

The excessive depletion of groundwater resources and significant climate change have
exerted immense pressure on global groundwater reserves. Owing to the rising global …

This study addresses the challenges of flash flood susceptibility map** in Yemen's
Qaa'Jahran Basin, characterized by complex terrain and limited hydro-meteorological data …

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 …

Flash floods are among the most dynamic and complex hydrological phenomena, posing a
significant challenge for detection in hydrological studies. Accurate and timely predictions of …

Precipitation is hard to access in countries like Iran, due to inadequate number of rain gauge
stations. Remote sensing provides an alternative source of rainfall estimation. In this study …

Arid regions are prone to unprecedented extreme rainfall events that often result in severe
flash floods. Using near-real-time precipitation data in hydrological modelling can aid in …

Urban flooding poses significant risks to water quality and public health due to inadequate
drainage systems, leading to the dispersion of harmful pollutants in the neighborhoods. This …