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《Water Conservancy Science and Technology and Economy》 2005-02
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Research on the streamflow forecast methods of Tibet Lasha River

WU Tao,YUAN Peng,DAI Lu,DING Yi,XIE Shan (The College of Hydraulic & Hydrauelectric Engineering of Sichuan University,Chengdu 610065,China)  
The author introduces three streamflow forecasting methods, the artificial neural network model, the staging calm auto-regressive model and the seasonly auto-regressive model the three methods was tested by the 41 years average month streamflow historical date of Tibet Lasa River from 1956 to 1968 and 1973 to 2000.And we find a relatively effective method that is the based on artificial neural network model.
【CateGory Index】: TV121
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