The 69th Conference on Hydraulic Engineering
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Presentation Information

9:30 AM - 9:45 AM JST(12:30 AM - 12:45 AM UTC)

[055]REAL-TIME PREDICTION OF SUSPENDED SEDIMENT CONCENTRATION USING MACHINE LEARNING: CASE STUDY OF MIWA RESERVOIR, TENRYU RIVER IN JAPAN

*Mohamed SABER1, Ryoya FURUIE2, Ahmed EMARA2,3, Sameh A. KANTOUSH1, Tetsuya SUMI1, Sohei KOBAYASHI1, Emad MABROUK4,5 (1. Disaster Prevention Research Institute, Kyoto University、2. Dept. of Urban Management, Kyoto University、3. Irrigation Eng. & Hydraulics Dept., Alexandria University、4. College of Engineering and Technology, American University of the Middle East、5. Department of Mathematics, Faculty of Science, Assiut University)

Keywords:

Suspended Sediment Concentration (SSC),Machine Learning,Inflow discharge,Memetic Programming,Miwa Dam

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