Application of Wavelet Transform in Baseflow Separation of Karstic Springs

Baseflow separation is one of the important topics in hydrology and water resources management. Different methods have been used to baseflow separation in the river and karstic springs. In this study, the wavelet transform was used as a new tool to baseflow separation in Gamasiyab spring in Nahavand County and Kahman spring in Aleshter County. In this study the data of the 49 years period for the Gamasiyab spring and data of the 27 years period for the Kahman spring were used. For evaluation of this tool, the Hydrochemical method was used by sampling quality data in water year of 2017-2018 for the two springs. The results showed that, in Gamasiyab spring, wavelet function Db4 at level 6 has the best performance. This best performance has the adjusted R2 of 0.96, and RMSE of 0.651 (m3/s). The best performance in Kahman spring related to wavelet function Db2 at level 5, that has adjusted R2 of 0.99, and RMSE of 0.187 (m3/s). Generally, the Wavelet Transform has high accuracy in baseflow separation.