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- W2191281985 abstract "The judicious exploitation of runoff water, which otherwise goes as waste, is dependent on the timely forecasting of runoff from the watershed. It also helps in taking appropriate decisions pertaining to flood warning, flood control, reservoir operation and river regulations. Therefore, in the present study, the runoff forecasting model was developed for real time forecasting of runoff for Naula watershed of the Ramganga catchment, Uttarakhand, India. The mod- els were developed based on adaptive mode concept of real time forecasting using transfer function ap- proach considering watershed as linear and time in- variant system. The model order was selected on the basis of Schwartz's Bayesian criterion. The perfor- mance of the developed model was tested on the ba- sis of various statistical indices such as the mean absolute deviation (MAD), the mean square error (MSE), the revised Theil inequality coefficient (RTIC), the correlation coefficient (CC) and the coefficient of efficiency (CE). On the basis of performance evalua- tion criteria, the model performed well for the study watershed." @default.
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- W2191281985 date "2014-01-01" @default.
- W2191281985 modified "2023-09-27" @default.
- W2191281985 title "Runoff forecasting using adaptive mode approach for a Himalayan watershed." @default.
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