Daily runoff forecasting based on data-augmented neural network model
نویسندگان
چکیده
منابع مشابه
Daily Runoff Forecasting using Artificial Neural Network
Rainfall-Runoff is the most important hydrological variables used in most of the water resources applications. Watershed based planning and management requires thorough understanding hydrological process and accurate estimation of runoff. An Artificial Neural Network (ANN) methodology was employed to forecast daily runoff for the Kadam watershed of G-5 sub-basin of Godavari river basin. On the ...
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There are many models that have been used to simulate the rainfall-runoff relationship. The artificial neural network (ANN) model was selected to investigate an approach of improving daily runoff forecasting accuracy in terms of data preprocessing. Singular spectrum analysis (SSA) as one data preprocessing technique was adopted to deal with the model inputs and the SSA-ANN model was developed. ...
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ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2020
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2020.017