Abstract
Hydrological modeling can be very useful in studying the hydrology of the system and managing the water resources of the system in a sustainable way. Calibration of the hydrological model is an important step in model development and application. Calibration becomes difficult particularly when the input variables of the model is of poor quality and contaminated with noise. In order to improve the calibration and aid in modeling, denoising of the data has been used in past. In this study, a hydrological model for the Wainganga basin, India using SWAT coupled with wavelet denoising is developed. The model performance of the wavelet coupled SWAT model is compared with the simple SWAT model. For the purpose of the model calibration 8 years were used and the model validation was done using 3 years of data. The results from the study show that the wavelet-based denoising significantly improved the model performance and also aided model calibration.
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