Assessing the performance and uncertainty analysis of the SWAT and RBNN models for simulation of sediment yield in the Nagwa watershed,India |
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Authors: | Ajai Singh Mohd Imtiyaz RK Isaac DM Denis |
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Institution: | 1. Soil and Water Conservation, Regional Research Station (Old Alluvial Zone), Uttar Banga Krishi Viswavidyalaya, Majhian, Patiram, Dakshin Dinajpur 733133, West Bengal, Indiaajai_jpo@yahoo.com;3. SHIATS, Vauge School of Agricultural Engineering &4. Technology, Allahabad 211007, Uttar Pradesh, India;5. Department of Soil Water Land Engineering and Management, SHIATS, Vauge School of Agricultural Engineering & |
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Abstract: | AbstractThe process-based Soil and Water Assessment Tool (SWAT) model and the data-driven radial basis neural network (RBNN) model were evaluated for simulating sediment load for the Nagwa watershed in Jharkhand, India, where soil erosion is a severe problem. The SWAT model calibration and uncertainty analysis were performed with the Sequential Uncertainty Fitting algorithm version 2 and the bootstrap technique was applied on the RBNN model to analyse uncertainty in model output. The percentage of data bracketed by the 95% prediction uncertainty (95PPU) and the r factor were the two measures used to assess the goodness of calibration. Comparison of the results of the two models shows that the value of r factor (r = 0.41) in the RBNN model is less than that of SWAT model (r = 0.79), which means there is a wider prediction interval for the SWAT model results. More values of observed sediment yield were bracketed by the 95PPU in the RBNN model. Thus, the RBNN model estimates the sediment yield values more accurately and with less uncertainty.Editor D. Koutsoyiannis; Associate editor H. AksoyCitation Singh, A., Imtiyaz, M., Isaac, R.K., and Denis, D.M., 2014. Assessing the performance and uncertainty analysis of the SWAT and RBNN models for simulation of sediment yield in the Nagwa watershed, India. Hydrological Sciences Journal, 59 (2), 351–364. |
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Keywords: | SWAT RBNN ANN SWAT-CUP SUFI-2 sediment yield simulation |
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