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Abstract
Flash floods are a major threat to life and properties in arid regions. In recent decades, Egypt has experienced severe flash floods that have caused significant damage across the country, including the Red Sea region. The aim of this study is to map the flood hazards in flood-prone areas along the Red Sea region using a Geographic Information System (GIS)-based morphometric analysis approach. To evaluate the flood hazard degree, the adopted methodology considers various morphometric parameters such as basin area, slope, sinuosity index, shape factor, drainage intensity, circularity ratio, and curve number. GIS techniques were employed to delineate the watershed and the drainage network. The delineated watershed was used together with the digitized maps of soil and land use types to estimate the curve number and the morphometric parameters for each subbasin. The flood hazard degrees are calculated based on the considered morphometric parameters and distinguished based on a five-degree scale ranging from very low to very high. Results indicate that 47% of the study area has a very high flood hazard degree. Furthermore, morphometric analysis results align with the runoff results simulated by a hydrological model, where, for example, basins with a high to very high hazard degree exhibited high runoff. This suggests the influence of physical characteristics on the hydrological behavior of the watershed and further validates the morphometric analysis presented in this work. The results presented here can help policy planners and decision-makers develop appropriate measures to mitigate flash floods and achieve sustainable development in arid regions.
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1 Menoufia University, Civil Engineering Department, Faculty of Engineering, Shebin El-Kom, Egypt (GRID:grid.411775.1) (ISNI:0000 0004 0621 4712)
2 Menoufia University, Civil Engineering Department, Faculty of Engineering, Shebin El-Kom, Egypt (GRID:grid.411775.1) (ISNI:0000 0004 0621 4712); Utrecht University, Department of Earth Sciences, Faculty of Geosciences, Utrecht, The Netherlands (GRID:grid.5477.1) (ISNI:0000 0000 9637 0671)