forecasting runoff
2.This paper presents a forecasting model of runoff to Wuyandong subterranean stream system by BP ANN based on the data of precipitation and flux in Luota, west Hunan.
3.The application of the model in the daily runoff forecasting obtained better forecasting results in the Dadu river basin.
4.By using Tank model, Sacramento model and forecasting model of self-adapting amendment, the paper simulates daily runoff processes for some rivers in Xinjiang and compares suitable conditions and characteristics of these models.
5.Three meteorological fields of Northern Hemisphere H500, H100 and temperature of West Pacific Ocean (SST) are taken as forecasting elements to do one-year-prediction in Datong station of Yangtse River for monthly runoff and gross runoff volume from July to October.
6.In this method, on the assumption that inconsistent annual runoff series were composed of relatively consistent random component and inconsistent deterministic component; firstly the random component and deterministic component were identified and tested by using genetic analysis method and statistic analysis method; and the fitting calculation of deterministic component and the frequency calculation of random component were made separately; secondly according to the theory of decomposition and composition in time series analysis, the deterministic forecasting value and stochastic design value were synthesized; and the past and present as well as future frequency distributions were gained.
