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Flood susceptibility prediction using four machine learning techniques and comparison of their performance at Wadi Qena Basin,Egypt |
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| Authors: | El-Haddad Bosy A Youssef Ahmed M Pourghasemi Hamid R Pradhan Biswajeet El-Shater Abdel-Hamid El-Khashab Mohamed H |
| Institution: | 1.Faculty of Science, Geology Department, Sohag University, Sohag, 82524, Egypt ;2.Applied Geology Sector, Geological Hazards Department, Saudi Geological Survey, Jeddah, 21514, Kingdom of Saudi Arabia ;3.Department of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, Iran ;4.Faculty of Engineering and IT, Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), School of Information, Systems and Modelling, University of Technology Sydney, Sydney, NSW, 2007, Australia ;5.Department of Energy and Mineral Resources Engineering, Sejong University, Choongmu-gwan, 209 Neungdong-ro, Gwangjin-gu, Seoul, 05006, Republic of Korea ; |
| Abstract: | Natural Hazards - Floods represent catastrophic environmental hazards that have a significant impact on the environment and human life and their activities. Environmental and water management in... |
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