The most frequent kind of natural disaster is flash flooding, which happens when too much water floods normally dry areas. Flash Floods can inflict extensive destruction, including loss of life, damage to private property, and destruction of vital infrastructure. Therefore, this scientific research aims to study all the factors that affect these floods and conduct the necessary hydrological studies of Wadi El Assiuti depending on morphometric analysis to assess flash flood risk. To understand the nature of this valley, it was necessary to study and analyze the morphometric parameters. Thirty-six parameters are calculated and are put into four categories (drainage texture, drainage network, relief characteristics, and basin geometry). Wadi El Assiuti occupies an area of (6045.57 Km2). The wadi, which consists of 926 streams having 3326.82 kilometers in length, is associated with the 6th order. This study can be useful and considered as a database for other researchers that can be used to conduct further research that would study floods and their characteristics, draw maps of flash floods, identify the most dangerous areas, and take the necessary measures to reduce the risk of these floods.
Ali, M., Elsayed, M., & Elsadek, W. (2025). Morphometric analysis of Wadi El Assiuti, Egypt, using GIS and Remote Sensing Techniques. International Journal of Applied Energy Systems, 7(2), 41-49. doi: 10.21608/ijaes.2025.361222.1035
MLA
Mohamed A Ali; Mahmoud Elsayed; Wael M Elsadek. "Morphometric analysis of Wadi El Assiuti, Egypt, using GIS and Remote Sensing Techniques", International Journal of Applied Energy Systems, 7, 2, 2025, 41-49. doi: 10.21608/ijaes.2025.361222.1035
HARVARD
Ali, M., Elsayed, M., Elsadek, W. (2025). 'Morphometric analysis of Wadi El Assiuti, Egypt, using GIS and Remote Sensing Techniques', International Journal of Applied Energy Systems, 7(2), pp. 41-49. doi: 10.21608/ijaes.2025.361222.1035
VANCOUVER
Ali, M., Elsayed, M., Elsadek, W. Morphometric analysis of Wadi El Assiuti, Egypt, using GIS and Remote Sensing Techniques. International Journal of Applied Energy Systems, 2025; 7(2): 41-49. doi: 10.21608/ijaes.2025.361222.1035