Forecasting of stage-discharge relationship of Luoshan on the Yangtze River
Fangli Yang · 2005
With BP artificial neural network, a model is developed to forecast the stage-discharge relationship of Luoshan Hydrologic Station on the Yangtze River. When selecting factors influencing the water level of Luoshan station, flood fluctuation rate is reflected by the former discharge process in upper hydrologic station and this station, and backwater effect is reflected by the level of the lower hydrologic station. In order to improve forecasting precision, this paper brings forward a new method which uses time difference of water level and discharge as input and output. The results of multi calculation examples show that the new method can further improve forecasting precision and have values in generalized application.