Probabilistic forecasting of water level in the Beijing-Hangzhou Grand Canal based on MC dropout and CNN-LSTM
Reliable water level forecasting with quantified uncertainty is vital for urban flood control operations. This study proposes a hybrid probabilistic water level forecasting framework integrating CNN, LSTM, and Monte Carlo Dropout to address the risk-sensitive operation of urban flood control infrastructure. The model...