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HyB Rid Ann-Hpg Model Predicting Streamlow and Water Surface Elevation

Author(s): S. E. Kimi. W. Seo; J. Shin

Linked Author(s): Il Won Seo

Keywords: Rtificial Neural Network; Hydraulic Performance Graph; Streamflow; Water surface level; Nakdong River

Abstract: An approach for forecasting streamflow and water surface level has been attempted by using a hybrid model consisting of the Artificial Neural Network (ANN) model and the HPG (Hydraulic Performance Graph) model in this study. The model lets researchers facilitate acquired data to forecast streamflow and water surface level in needed sites with instantaneous results and accuracy. The hybrid model was applied to the Nakdong River in Korea, the ANN model was used for streamflow forecast and the results were applied to the HPG for water surface level estimation. The water surface level estimation results show that the HPG model gives up to 0.89 R-squared when compared to observed results. Therefore the hybrid model of ANN model and the HPG model is capable of streamflow and water surface level forcasting with accuracy.


Year: 2014

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