Abstract
This work is aimed at researching and studying the severity of flash floods in Wadi Watir using remote sensing and GIS technologies using the morphometric ranking (MR) method. Flash floods are natural hazards that are diffi cult to predict. Predicting flash floods in flood-prone areas can save lives and property. Geographic information systems software and remote sensing have recently become major sources of knowledge for risk assessment. Egypt often experiences flash floods in different areas, such as arid regions. Wadi Watir is one of the important watersheds prone to flash flooding. Flooding of the area endangers the town of Nuweiba and major traffic arteries. This study uses the morphometric ranking method to assess fl ash fl ood risk in Wadi Watir using remote sensing and geographic information systems. Seventeen parameters were used for the morphometric ranking approach. The parameters varied between basin size, shape, surface, and drainage network. The results showed that 19% and 44.2% of the watershed have low and moderate hazard degrees for flash floods, respectively. In addition, 36.8% of the total area of the watershed has the highest degree of danger, so this area must be well protected from the danger of flash floods.
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