ConvLSTM-Based Surrogate Modeling for Flood Inflow Prediction at Namgang Dam

Abstract

AbstractAccurate flood forecasting is crucial for effective reservoir operations and flood protection. This study examines the effectiveness of long short-term memory (LSTM) surrogate models in forecasting flood inflows at the Namgang multipurpose dam in ...Practical ApplicationsThis study demonstrates the application of advanced DL models, particularly ConvLSTM, to improve flood inflow prediction at the Namgang multipurpose dam in South Korea. The methodology integrates the strengths of traditional ...