Real-Time Flood Inundation Map Generation Using Decision Tree Machine Learning Method: Case Study of Kelantan River Basins

• Main Authors: Sidek L.M., Basri H., Marufuzzaman M., Deros A.M., Osman S., Hassan F.A.
• Other Authors: 35070506500
• Format: Book chapter
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Subjects: Decision tree; Flood forecasting; Flood hazard map; Flood impacts; Kelantan; Machine learning; Risk assessment
• Institution: Universiti Tenaga Nasional

Spatial investigation and rainfall affect the most in runoff and flood modelling compared to other influencing flood sources. Therefore, flash flood and short-term flood prediction require numerical rainfall estimation, which employs falls, mudflow, melted ice, etc. To forecast unexpected flood occu...