Daily Runoff Prediction in Xijiang River Basin Based on FOA‐TCN‐BiLSTM Model
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Climatology"
DOI: 10.1002/joc.70073
Abstract: Accurate and reliable daily runoff forecasting plays a vital role in water resource management, flood warning and operational scheduling. However, runoff prediction is challenging due to its nonlinear and non‐stationary nature, influenced by climate change,… read more here.
Keywords: bilstm model; runoff prediction; model; tcn bilstm ... See more keywords
Integrating MFDFA with hybrid deep learning for enhanced daily precipitation-runoff prediction in the Minjiang River Basin
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Hydroinformatics"
DOI: 10.2166/hydro.2025.043
Abstract: Precipitation-induced runoff prediction is critical for water resource management and water security risk assessment. This study addresses the issue of existing deep learning models’ insufficient ability to capture multiscale variations in precipitation-runoff time series, aiming… read more here.
Keywords: deep learning; basin; prediction; runoff prediction ... See more keywords