River Water Level Prediction Method Using Hydrodynamic Model and Machine Learning Model
This study explores the feasibility of utilizing hydrodynamic model and machine learning models to improve the accuracy of river water level prediction.A hydrodynamic model is first used to predict river water levels,and the sup-port vector machine model is used to correct the prediction results of the hydrodynamic model.Then,a river level predic-tion model coupled with hydrodynamics model and machine learning model is constructed.The application results of Jiaoxi Sluice in Nansha District show that the coupled model has better prediction performance than a single hydrodynamic model,significantly improving the accuracy of water level prediction under different forecast periods.As the forecast pe-riods increase,the prediction effect of the coupled model shows a decreasing trend,but overall,it is still better than the water level prediction process of the hydrodynamic model.
water level predictionhydrodynamic modelmachine learning modelcoupling model
万方数据
维普
