Response Surface Models Using the Wavelet Technique for Reservoir Inflow Prediction

Abstract

Reliable streamflow prediction is vital to improving river operations, flood avoidance, water supply, and water resources management. Recently, response surface models have been launched in reservoir inflow prediction due to their potential to model composite nonlinear behaviour. Authors develop a hybrid model, wavelet quadratic response surface for reservoir inflow prediction in Chenab river basin, Pakistan. Wavelet transform has extensive applications in the field biomedical, engineering, and hydrology. Discrete wavelet transform technique discloses the structure of nonstationary signals. A proper and careful selection of mother wavelet ensure the best performance of wavelet transform. The choice of a suitable wavelet function participates in implementing the wavelet function used in response surface based models for reliable prediction. The performance of the proposed model is checked on different performance indices for model evaluation. The new developed model, wavelet quadratic response surface, depicts excellent results than other studied models.

Use of Wavelet and Bootstrap Methods in Streamflow Prediction

“…WT is a prevalent technique to remove noise from nonstationary time series data [18][19][20][21][22]. WANN and wavelet adaptive neuro-fuzzy inference system (WANFIS) models were examined by [23] to check the reliability of the proposed models for maximum lead time.…”