Application of Composite Single Sand Model for Sediment Monitoring Based on BP Neural Network in Xijiang River:A Case Study of Wuzhou Hydrometric Station
The automatic online monitoring of sediment in Wuzhou River is a difficult problem due to the complex flow patterns and sediment transport laws,and the lack of suitable equipments.A composite single sand model was established by multiple re-gression and BP neural network for the sediment monitoring at Wuzhou hydrometric station in Xijiang River.The results show that the single sand calculated by the neural network model is compliant with specifications,which could be applied to sediment monitoring of Wuzhou hydrometric station.Using turbidity monitoring equipment and neural network to establish the relationship among single sand,turbidity and water level is applicable to the online monitoring of sediment.
BP neural networkturbiditysingle sandXijiang RiverWuzhou
NETL
NSTL
万方数据
