Estimation of sediment yield by using Soil and Water Assessment Tool for an agricultural watershed in Eastern India
DOI:
https://doi.org/10.53550/Keywords:
Hydrologic modeling, SWAT, SWAT-CUP, Sediment yield, Sediment distribution, JharkhandAbstract
Soil erosion due to accelerating runoff in various land cover types poses a serious threat to the long term sustainability of the fragile Chotki Berghi watershed in Jharkhand. Estimation of sediment yield is needed to study the reservoir sedimentation, river morphology and taking up any soil and water conservation measures. The study was aimed at delimitation of the zones of high runoff and consequently soil erosion in the agricultural dominated Chotki Berghi watershed. Identification of such zones could help in the implementation of better land management practices. The Soil and Water Assessment Tool (SWAT) was applied to simulate stream flow and sediment yield. The model was calibrated for the period 2004–2006 and validated for 2007–2008. Nine highly sensitive parameters were identified of which base flow alpha factor was the most sensitive one. The results 2 were satisfactory for the gauging station with coefficient of determination, R = 0.75 2 and Nash–Sutcliffe model efficiency coefficient, NSE = 0.78 for calibration and R = 0.62 and NSE = 0.68 for validation period. Sub-basin 5 contributed highest sediment load to the outlet and thus need immediate attention. The SWAT model could be effectively used to predict stream flow and sediment yield in order to effectively design irrigation system and water resources planning and management at large scale.
References
Abbaspour, K.C., Yang, J., Maximov, I., Siber, R., Bogner, K., Mieleitner, J., Zobrist, J., Srinivasan, R. and Reichert, P. 2007. Modelling of hydrology and water quality in the pre-alpine/alpine Thur watershed using SWAT. J. Hydrol., 333:413-430.
Arnold, J.G. and Williams, J.R. 1987. Validation of SWRRB-Simulator for Water Resources in Rural Basins, J Water Resource Planning Manage., 113 (2):243-256.
Arnold, J.G., Allen, P.M. and Bernhardt, G. 1993. A comprehensive surface groundwater flow model. J. Hydrol., 142: 47-69.
Arnold, J.G., Srinivasan, R., Muttiah, R.S. and Williams, J.R. 1998. Large-area hydrologic modeling and assessment: Part I. Model development. J. American Water Resour. Assoc., 34(1): 73-89.
Cao, W., Bowden, B.W. and Davie, T. 2006. Multi-variable and multi-site calibration and validation of SWAT in a large mountainous catchment with high spatial variability. Hydrol. Process., 20:1057-1073.
Chandra, P., Patel, P.L., Porey, P.D. and Gupta, I.D. 2014. Estimation of sediment yield using SWAT model for Upper Tapi basin for Upper Tapi basin. ISH Journal of Hydraulic Engineering, 20(3):1-11.
Di Luzio, M., Srinivasan, R. and Arnold, J.G. 2002. Integration of watershed tools and SWAT model into basins. J. Am. Water Res. Assoc., 38 (4): 1127- 1141.
Goodchild, M.F. 1992. Geographical data modeling. Computers and Geosciences, 18(4):401-408.
Izaurralde, R.C., Williams, J.R., McGill, W.B., Rosenberg, N.J. and Quiroga Jakas, M.C. 2006. Simulating soil C dynamics with EPIC: Model description and testing against long-term data. Ecol. Model, 192(3-4):362-384.
Jain, S.K., Tyagi, J. and Singh, V. 2010. Simulation of Runoff and Sediment Yield for a Himalayan Watershed Using SWAT Model. J. Water Resource and Protection, 2:267-281.
Kaur, R., Singh, O., Srinivasan, R., Das, S.N. and Mishra, K. 2004. Comparison of a subjective and a physical approach for identification of priority areas for soil and water management in a watershed: a case study of Nagwan watershed in Hazaribagh district of Jharkhand, India. Environ. Model Assess., 9(2): 115-127.
Knisel, W. G. 1980. CREAMS: A field-scale model for chemicals, runoff, and erosion from agricultural management systems. USDA National Resources Conservation Service, 2:61.
Leonard, R.A., Knisel, W.G. and Still, D.A. 1987. GLEAMS: Groundwater loading effects of agricultural management systems. Trans. ASAE, 30(5): 1403-1418.
Mohammad, E., Mohammad, N.A. and Sven, K. 2014. Application of SWAT Model to Estimate the Runoff and Sediment Load from the Right Bank Valleys of Mosul Dam Reservoir. ICSE, 6: 27-31.
Nash, J. E., and Sutcliffe J. V. 1970. River flow forecasting through conceptual models. Part I. A discussion of principles. J. Hydrol., 10(3): 282-290.
Neudecker, H. and Magnus, J.R. 1988. Matrix Differential Calculus with Applications in Statistics and Econometrics. John Wiley & Sons, New York, USA, 136 p.
Singh, A., Imtiyaz, M., Isaac, R.K. and Denis, D.M. 2013. Comparison of soil and water assessment tool (SWAT) and multilayer perceptron (MLP) artificial neural network for predicting sediment yield in the Nagwa agricultural watershed in Jharkhand, India. Agric. Water Mgt., 104: 113-120.
Singh, A., Imtiyaz, M., Isaac, R.K. and Denis, D.M. 2014. Assessing the performance and uncertainty analysis of Soil and Water Assessment Tool (SWAT) and Radial Basis Neural Network (RBNN) models for simulation of sediment yield in Nagwa watershed, India. Hydrological Sciences, 2(59): 351-364.
Tripathi, M.P., Panda, R.K. and Raghuwanshi, N.S. 2003. Identification and prioritisation of critical sub-water-sheds for soil conservation management using SWAT model. Biosystems Engineering, 85(3): 365-379.
Tyagi, J.V., Rai, S.P., Qazi, N. and Singh, M.P. 2014. Assessment of discharge and sediment transport from different forest cover types in lower Himalaya using Soil and Water Assessment. Int. J. Water Res. Environ. Eng., 6(1): 49-66.
White, K.L. and Chaubey, I. 2005. Sensitivity analysis, calibration, and validations for a multisite and ultivariable SWAT model. J. American Water Resour. Assoc., 41(5):1077-1089.
Wischmeier, W.H. and Smith, D.D. 1978. Predicting rainfall losses: A guide to conservation planning. Agriculture Handbook No. 537, U.S. Department of Agriculture, Washington, D.C.
Wu, H. and Chen, B. 2015. Evaluating uncertainty estimates in distributed hydrological modeling for the Wenjing River watershed in China by GLUE, SUFI-2 and ParaSol methods. Ecological Engineering, 76: 110-121.
