Data-intelligent methods designed for forecasting the streamflow of the Fenhe River are
crucial for enhancing water resource management. Herein, the gated recurrent unit (GRU) is …

Accurate and reliable mid-to long-term streamflow prediction is essential for water resources
management. However, streamflow series exhibits strong non-stationary and non-linear; …

Reliable streamflow prediction is an important productive information in the hydrology and
water resources management fields. As used to forecast the nonlinear streamflow time …

Accurate streamflow prediction plays an essential role in guaranteeing the sustainable
utilization and management of water resources. In recent years, Artificial Intelligence (AI) …

The effects of developing technology and rapid population growth on the environment have
been expanding gradually. Particularly, the growth in water consumption has revealed the …

Eight data-driven models and five data pre-processing methods were summarized; the
multiple linear regression (MLR), artificial neural network (ANN) and wavelet decomposition …

The development of a river inflow prediction is a prerequisite for dam reservoir management.
Precise forecasting leads to better irrigation water management, reservoir operation …

This study applied a GR4J model in the Xiangjiang and Qujiang River basins for rainfall-
runoff simulation. Four recurrent neural networks (RNNs)—the Elman recurrent neural …

Accurate runoff forecasting plays an important role in guaranteeing the sustainable
utilization and management of water resources. Artificial intelligence methods can provide …

Due to the inherent non-stationary and nonlinear characteristics of original streamflow and
the complicated relationship between multi-scale predictors and streamflow, accurate and …