Flood Prediction Using Multilayer Perceptron Networks and Long Short-Term Memory Networks at Thu Bon-Vu Gia Catchment, Vietnam

A Systematic Review of Deep Learning Applications in Streamflow Data Augmentation and Forecasting

“…for the Kowmung River at Cedar Ford in Australia;Luu et al (2021aLuu et al ( , 2021b for the Thu Bon-Vu Gia catchment, Vietnam;Yokoo et al (2021Yokoo et al ( , 2022 for the Ishikari River watershed in Japan;Li et al (2021e) for the middle Yangtze River, China;Hashemi et al (2021) for 740 gauges in France;Kwak et al (2021) for the Hyeongsan River basin, South Korea;Zakhrouf et al (2021) for two stations in Algeria;Rahimzad et al (2021) for a station in Kentucky, US; Chen and Xu for the Dadu River Basin, China;Chen and Qiao (2021) for the Nanjing River, China;Kim and Kim (2021) for the Yeongsan River basin, South Korea;Wang et al (2021b) for the Tunxi Basin, China utilized LSTMs.In one of the ensemble model studies,Mirzaei et al (2021) coupled LSTMs with Principal Component Analysis (PCA) for the Samarahan and Trusan river basins, Malaysia. Using PCA as well,Lian et al (2021) utilized Bayesian optimization (BO) and LSTMs for the Yellow River, China.…”