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Uncertainty in a Lumped and a Semi-Distributed Model for Discharge Prediction in Ghatshila Catchment

1
Centre of Excellence in Climatology, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India
2
Institute of Environment and Sustainable Development, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India
3
Blackland Research and Extension Center, Texas A&M Agrilife Research, Temple, TX 76502, USA
4
Civil and Environmental Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand 835215, India
*
Author to whom correspondence should be addressed.
Water 2018, 10(4), 381; https://doi.org/10.3390/w10040381
Received: 13 November 2017 / Revised: 24 February 2018 / Accepted: 20 March 2018 / Published: 25 March 2018
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Abstract

Hydrologic simulations of different models have direct impact on the accuracy of discharge prediction because of the diverse model structure. This study is an attempt to comprehend the uncertainty in discharge prediction of two models in the Ghatshila catchment, Subarnarekha Basin in India. A lumped Probability Distribution Model (PDM) and semi-distributed Soil and Water Assessment Tool (SWAT) were applied to simulate the discharge from 24 years of records (1982–2005), using gridded ground based meteorological variables. The results indicate a marginal outperformance of SWAT model with 0.69 Nash-Sutcliffe (NSE) for predicting discharge as compared to PDM with 0.62 NSE value. Extreme high flows are clearly depicted in the flow duration curve of SWAT model simulations. PDM model performed well in capturing low flows. However, with respect to input datasets and model complexity, SWAT requires both static and dynamic inputs for the parameterization of the model. This work is the comprehensive evaluation of discharge prediction in an Indian scenario using the selected models; ground based gridded rainfall and meteorological dataset. Uncertainty in the model prediction is established by means of Generalized Likelihood Uncertainty Estimation (GLUE) technique in both of the models. View Full-Text
Keywords: SWAT; PDM; GLUE; model structure; discharge SWAT; PDM; GLUE; model structure; discharge
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Yaduvanshi, A.; Srivastava, P.; Worqlul, A.W.; Sinha, A.K. Uncertainty in a Lumped and a Semi-Distributed Model for Discharge Prediction in Ghatshila Catchment. Water 2018, 10, 381.

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