Runoff Simulation in the Ganjiang River Basin Based on the Xin'anjiang Model Coupled with the LSTM
Accurate streamflow simulation plays an important role in the optimal allocation of water resources,flood control and drought relief.In this study,taking Ganjiang River Basin for an example,a coupled XAJ-LSTM model of the Xin'anjiang(XAJ)model and LSTM model was constructed,and the differences in streamflow simulation between the coupled model,the XAJ model and the LSTM model are compared and analyzed.The impact of flood season division on the streamflow simulation accuracy was evaluated.The results show that the optimal neuron combination of LSTM model is 18 neurons in the first layer and 36 neurons in the second layer.Compared with the XAJ model,LSTM model has high simulation accuracy;Furthermore,the LSTM model coupled physical constraints based on the XAJ model achieves ap-proximate 11%lower of the root mean squared error RRMSE.Considering the flood season division can improve stream-flow simulation accuracy of the XAJ-LSTM model,the improvement is more significant in the flood season,with the RRMSE reduced by 18%.This study can provide technique support for the streamflow simulation and prediction for the Ganjiang River Basin.
streamflow simulationLSTMXin'anjiang modelflood season division
NETL
NSTL
万方数据
