Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes
نویسندگان
چکیده
منابع مشابه
predicting streamflow using data-driven model and time series
accurate forecasting of streamflows has been one of the most important issues as it plays a key role in allotment of water resources. river flow simulations to determine the future river flows are important and practical. given the importance of flow in the coming years, in this research three stations: haji qooshan, ghare shoor and tamar in gorganrood cachment were simulated in 2002-2011. to s...
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[1] Seasonal forecasting of streamflow provides many benefits to society, by improving our ability to plan and adapt to changing water supplies. A common approach to developing these forecasts is to use statistical methods that link a set of predictors representing climate state as it relates to historical streamflow, and then using this model to project streamflow one or more seasons in advanc...
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ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2013
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2013.042