Streamflow Decomposition Based Integrated ANN Model

Abstract

The prediction of riverflows requires the understanding of rainfall-runoff process which is highly nonlinear, dynamic and complex in nature. In this research streamflow decomposition based integrated ANN (SD-ANN) model is developed to improve the efficacy rather than using a single ANN model for the flow hydrograph. The streamflows are decomposed into two states namely 1) the rise state and 2) the fall state. The rainfall-runoff data obtained from the

Keywords

Artificial Neural Network; Rainfall-Runoff Modeling; Streamflow Decomposing; Black Box Modelling

Artificial Neural Network; Rainfall-Runoff Modeling; Streamflow Decomposing; Black Box Modelling

Cite this paper

N. Bhatia, L. Sharma, S. Srivastava, N. Katyal and R. Srivastav, "Streamflow Decomposition Based Integrated ANN Model,"*Open Journal of Modern Hydrology*, Vol. 3 No. 1, 2013, pp. 15-19. doi: 10.4236/ojmh.2013.31003.

N. Bhatia, L. Sharma, S. Srivastava, N. Katyal and R. Srivastav, "Streamflow Decomposition Based Integrated ANN Model,"

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