Prediction of Daily Runoff in Huayuan Estuary of Yellow River Based on Improved Sparrow Search Algorithm
In order to accurately predict the runoff of the Yellow River in Henan Province,reduce the hidden danger of the Yellow River flooding,and help the flood prevention work.In this paper,this article proposes an EMD-ISA-LSTM runoff prediction model based on improving the Sparrow Search algorithm(ISSA).The daily run-off data of Huayuankou Hydrology Station from 2009 to 2022 were selected as experimental data,and the mean square error(MSE),mean absolute percentage error(MAPE)and Nash efficiency coefficient(NSE)were used as model evaluation indexes.The experimental results show that the EMD-ISA-LSTM model has good accuracy and stability in the daily runoff prediction of Huayuankou,among them,when the prediction period is 1 day,the NSE reaches 0.965.This study provides an effective tool for the daily runoff prediction of Huayuankou hydrology station,which is conducive to the management of water resources optimization and the flood control scheduling in reservoirs.
万方数据
维普
