Flash flood hazard mapping using morphometric ranking method
https://doi.org/10.26897/1997-6011-2023-2-106-112
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 fl oods are natural hazards that are difficult 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 traffi c arteries. This study uses the morphometric ranking method to assess flash flood 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.
Supporting agencies: The author – correspondent is funded by a fellowship under a joint program between the Arab Republic of Egypt and the Russian Federation
About the Authors
Ezzeldin Моstafa
Department of Construction Engineering Academy, Peoples’ Friendship University of Russia (RUDN); Department of Civil Engineering, Faculty of Engineering, Menoufi a University
Russian Federation
Russian Federation
Моstafa Ezzeldin, post graduate student, assistant of the lecturer
115419, Moscow, Ordzhonikidze Str., 3
Shibin el-Com, Egypt; 32511
Scopus: 57202866983
E. K. Sinichenko
Department of Civil Engineering, Faculty of Engineering, Menoufia University; Automobile and Road State Technical University
Egypt
Egypt
Sinichenko Evgeny Konstantinovich, associate professor, candidate of technical sciences
Shibin el-Com, 32511
Scopus: 6506801225
I. I. Gritsuk
Department of Construction Engineering Academy, Peoples’ Friendship University of Russia (RUDN); Institute of Water Problems of the Russian Academy of Sciences; Automobile and Road State Technical University
Russian Federation
Russian Federation
Gritsuk Ilya Igorevich, associate professor, candidate of technical sciences
115419, Moscow, Ordzhonikidze Str., 3
Moscow
Scopus: 17343469800
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For citations:
Моstafa E., Sinichenko E.K., Gritsuk I.I. Flash flood hazard mapping using morphometric ranking method. Prirodoobustrojstvo. 2023;(2):106-112. (In Russ.) https://doi.org/10.26897/1997-6011-2023-2-106-112
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