Improving reliability of Wavelet based hydrological models by suitable mother wavelet selection

作者: Vinit Sehgal , Kinshuk Tripathi , Rajeev Ranjan Sahay

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摘要: Wavelet based hybrid models are very popular in hydrological modeling. However, the performance of these models depends on the suitable selection of mother wavelet for carrying out discrete wavelet transform (DWT). This paper relates the vanishing moment of the mother wavelet to the performance of the wavelet based hydrological model. Study reveals that higher the vanishing moment of a wavelet, better is the performance of the wavelet based hybrid model. A case study is carried out at Kamla River of North Bihar, India; using wavelet based Auto Regressive models (WR) to forecast 1-day ahead water levels.

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