Application of SWAT Model for Hydrological Simulation of Rapti River Basin

Sonali Kumari *

Department of Soil and Water Conservation Engineering, SHUATS, Prayagraj, Uttar Pradesh, India.

Vikram Singh

Department of Soil and Water Conservation Engineering, SHUATS, Prayagraj, Uttar Pradesh, India.

Shakti Suryavanshi

National Institutes of Hydrology, Roorkee, Haridwar, Uttarakhand, India.

Mukesh Kumar

Centre for Geospatial Technology, SHUATS, Prayagraj, Uttar Pradesh, India.

*Author to whom correspondence should be addressed.


Abstract

This study aimed at application of SWAT model for hydrological simulations of Rapti River Basin (RRB) water systems. The Rapti River originates from Nepal and then it comes in India. SWAT (Soil and Water Assessment Tool) model was used for hydrological simulation of the RRB surface and sub surface water systems. SWAT is a comprehensive, semi-distributed river basin model that requires a large number of input parameters, which complicates model parameterization and calibration. The RRB was discretised into 4 sub-basins and 630 hydrological response units (HRUs) and calibration and validation was carried out at Bagasoti using monthly flow data of 11 years, respectively. We first calibrated the model in SWAT-CUP which is a decision-making framework that incorporates a semi-automated approach (SUFI2) using manual calibration and incorporating sensitivity and uncertainty analysis. Parameter sensitivity analysis helps focus the calibration and uncertainty analysis and is used to provide statistics for goodness-of-fit. In this study Calibration has been done between simulated and observed discharge data (1974-1985) for 50 simulations with 6 parameters that is Curve number (CN2 = 0.945), Groundwater delay (GW_DELAY = 50), Baseflow alpha factor (ALPHA_BF = 0.58), Manning's "n" value for the main channel (CH_N2 = 0.15), Effective hydraulic conductivity in main channel alluvium (CH_K2 = 10.20) and Available water capacity of the soil layer (SOL_AWC = 0.28). The results were analysed and compared with the observational data. The model performance evaluation showed acceptable ranges of values (i.e., Nash Sutcliff was 0.75 and R2 was 0.71). After model calibration, in order to predict water balance, the model was validated by using the best parameter.

Keywords: Manual calibration, hydrologic model, SWAT, validation, water balance


How to Cite

Kumari , S., Singh , V., Suryavanshi , S., & Kumar, M. (2024). Application of SWAT Model for Hydrological Simulation of Rapti River Basin. Journal of Experimental Agriculture International, 46(6), 140–153. https://doi.org/10.9734/jeai/2024/v46i62466

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References

Arai FK, Pereira SB, Gonçalves GG. Characterization of water availability in a hydrographic basin. Engenharia Agrícola. 2012;32:591-601.

Singh VP, Frevert DK. Watershed models. In Environmental and Water Resources History. 2006;156-167.

Walsh MR. Toward spatial decision support systems in water resources. Journal of Water Resources Planning and Management. 1993;119(2):158-169.

Srinivasan R, Arnold JG, Rosenthal W, Muttiah RS. Hydrologic modeling of Texas Gulf Basin using GIS, In: Proceedings of 2nd International GIS and Environmental Modeling, Breckinridge, Colorado. 1993;213-217.

Srinivasan R, Ramanarayanan TS, Arnold JG, Bednarz ST. Large area hydrologic modeling and assessment part II: model application 1. JAWRA Journal of the American Water Resources Association. 1998;34(1):91-101.

Srinivasan R, Arnold JG. Integration of a basin‐scale water quality model with GIS 1. JAWRA Journal of the American Water Resources Association. 1994;30(3):453-462.

Cho SM, Jennings GD, Stallings C, Devine HA. GIS-based water quality model calibration in the Delaware river basin, Transactions of American Society of Agricultural Engineering, Microfiche No. 952404, ASAE, St. Joseph, Michigan; 1995.

Rosenthal WD, Srinivasan R, Arnold JG. Alternative river management using a linked GIS‑hydrology model, Transactions of the American Society of Agricultural Engineering. 1995;38(3):783-790.

Bingner RL, Garbrecht J, Arnold JG, Srinivasan R. Effect of watershed division on simulation of runoff and fine sediment yield, Transactions of American Society of Agricultural Engineering. 1997;40(5):1329-1335.

Peterson JR, Hamlett JM. Hydrological calibration of the SWAT model in a watershed containing fragipan soils, J. American Water Resources Association. 1998;34(3):531-544.

Arnold JG, Srinivasan R, Ramanarayanan TS, Diluzio M. Water resources of the Texas gulf basin, Water Science and Technology. 1999;39(3):121-133.

Chaplot V. Impact of DEM mesh size and soil map scale on SWAT runoff, sediment, and NO3–N loads predictions, J. Hydrology. 2005;312:207–222.

Setegn SG, Srinivasan R, Dargahi B. Hydrological modeling in lake Tana Basin, Ethopia, using SWAT model, The Open Hydrology Journal. 2008;2:49-62.

Neitsch SL, Arnold JG, Kiniry JR, Williams JR. Soil and water assessment tool theoretical documentation version. Texas Water Resources Institute; 2009.

Srinivasan R, Zhang X, Arnold J. SWAT unguaged: Hydrological budget and crop yield prediction in the upper Mississipi river basin, American Society of Agricultural and Biological Engineers. 2010;53(5):1533-1546.

Betrie GD, Mohamed YA, Van GA, Srinivasan R. Sediment management modeling in the Blue Nile basin using SWAT model, Hydrology and Earth System Sciences. 2011;15:807- 818.

Qiu LJ, Zheng FL, Yin RS. SWAT-based runoff and sediment simulation in a small watershed, the loessial hilly-gullied region of China: Capabilities and challenges. International Journal of Sediment Research. 2012;27(2):226-234.

Himanshu SK, Pandey A, Shrestha P. Application of SWAT in an Indian river basin for modeling runoff, sediment and water balance. Environmental Earth Sciences. 2017;76:1-18.

Chilagane NA, Kashaigili JJ, Mutayoba E, Lyimo P, Munishi P, Tam C, Burgess N. Impact of land use and land cover changes on surface runoff and sediment yield in the Little Ruaha River Catchment. Open Journal of Modern Hydrology. 2021;11 (3):54-74.

Zeiger SJ, Owen MR, Pavlowsky RT. Simulating nonpoint source pollutant loading in a karst basin: A SWAT modeling application. Science of the Total Environment. 2021;785:147295.

Neitsch SL, Arnold JG, Kiniry JR, Williams JR. Soil and water assessment tool theoretical documentation version. Texas Water Resources Institute; 2011.

Arnold JG, Moriasi DN, Gassman PW, Abbaspour KC, White MJ, Srinivasan R, Santhi C, Harmel RD, Van Griensven A, Van Liew MW, Kannan N. SWAT: Model use, calibration, and validation. Transactions of the ASABE. 2012;55(4):1491-1508.

Winchell MF, Peranginangin N, Srinivasan R, Chen W. Soil and Water assessment Tool model predictions of annual maximum pesticide concentrations in high vulnerability watersheds. Integrated Environmental Assessment and Management. 2018;14(3):358-368.

Arnold JG, Srinivasan R, Muttiah RS, Williams JR. Large area hydrologic modeling and assessment Part I: Model development. J. of the Am. Water Resour. Asso. AWRA. 1998;34(1):73-89.

Ha LT, Bastiaanssen WG, Van Griensven A, Van Dijk AI, Senay GB. Calibration of spatially distributed hydrological processes and model parameters in SWAT using remote sensing data and an auto-calibration procedure: A case study in a Vietnamese river basin. Water. 2018;10(2): 212.

Abbaspour KC, Yang J, Maximov I, Siber R, Bogner K, Mieleitner J, Zobrist J, Srinivasan R. Modelling hydrology and water quality in the pre-alpine/alpine THUR watershed using SWAT. Journal of Hydrology. 2007;333(2-4):413-430.

Samadi S, Tufford DL, Carbone GJ. Assessing parameter uncertainty of a semi‐distributed hydrology model for a shallow aquifer dominated environmental system. JAWRA Journal of the American Water Resources Association. 2017;53(6):1368-1389.

Abbaspour KC, Calibration SWAT. Uncertainty Programs-A User Manual. Department of Systems Analysis. Integrated Assessment and Modeling (SIAM), Eawag, Swiss Federal Institute of Aquatic Science and Technology, Duebendorf, Switzerland. 2008;95.

Wu H, Chen B. Evaluating uncertainty estimates in distributed hydrological modeling for the Wenjing River watershed in China by GLUE, SUFI-2, and ParaSol methods. Ecological Engineering. 2015;76:110-121.

Narsimlu B, Gosain AK, Chahar BR, Singh SK, Srivastava PK. SWAT model calibration and uncertainty analysis for streamflow prediction in the Kunwari River Basin, India, using sequential uncertainty fitting. Environmental Processes. 2015; 2:79-95.

Kumar N, Singh SK, Srivastava PK, Narsimlu B. SWAT Model calibration and uncertainty analysis for streamflow prediction of the Tons River Basin, India, using Sequential Uncertainty Fitting (SUFI-2) algorithm. Modeling Earth Systems and Environment. 2017;3:1-13.

Tejaswini V, Sathian KK. Calibration and validation of swat model for Kunthipuzha basin using SUFI-2 algorithm. Int J Curr Microbiol Appl Sci. 2018;7(1):2162-72.

Yang J, Reichert P, Abbaspour KC, Xia J, Yang H. Comparing uncertainty analysis techniques for a SWAT application to the Chaohe Basin in China. Journal of Hydrology. 2008;358(1-2):1-23.

Ficklin DL, Luo Y, Zhang M. Watershed modelling of hydrology and water quality in the Sacramento River watershed, California. Hydrological Processes. 2013; 27(2):236-250.

Kamali B, Abbaspour KC, Lehmann A, Wehrli B, Yang H. Uncertainty-based auto-calibration for crop yield–the EPIC+ procedure for a case study in Sub-Saharan Africa. European Journal of Agronomy. 2018;93:57-72.

Refsgaard JC. Parameterisation, calibration and validation of distributed hydrological models. Journal of Hydrology. 1997;198(1-4):69-97.

Moriasi DN, Arnold JG, Van Liew MW, Bingner RL, Harmel RD, Veith TL. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE. 2007;50(3):885-900.

Henriksen HJ, Troldborg L, Nyegaard P, Sonnenborg TO, Refsgaard JC, Madsen B. Methodology for construction, calibration and validation of a national hydrological model for Denmark. Journal of Hydrology. 2003;280(1-4):52-71.

Gupta HV, Sorooshian S, Yapo PO. Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. Journal of Hydrologic Engineering. 1999;4(2):135-143.

Thyer M, Renard B, Kavetski D, Kuczera G, Franks SW, Srikanthan S. Critical evaluation of parameter consistency and predictive uncertainty in hydrological modeling: A case study using Bayesian total error analysis. Water Resources Research. 2009;45(12).

Johnston R, Smakhtin V. Hydrological modeling of large river basins: How much is enough? Wate Resources Management. 2014;28:2695-2730.

Neitsch SL, et al. Soil and water assessment tool input/output file documentation. College Station, TX: Texas Water Resources Institute; 2004.

Smedema LK, Rycroft DW. Land drainage: Planning and design of agricultural drainage systems. London: Batsford; 1983.

Lane LJ. Transmission losses. In: National engineering handbook hydrology, Section 4; 1983.

Chow VT. Open-channel hydraulics. New York: McGraw-Hill; 1959.

Shakti Suryavanshi, Ashish Pandey, Umesh Chandra Chaube. Hydrological simulation of the Betwa River basin (India) using the SWAT model, Hydrological Sciences Journal. 2017;62(6):960-978.

DOI: 10.1080/02626667.2016.1271420

Gupta HV, Sorooshian S, Yapo PO. Status of automatic calibration for hydrologic models: Comparison with multilevel expert calibration. Journal of Hydrologic Engineering. 1999;4(2):135–143.

DOI: 10.1061/ (ASCE) 1084-0699 (1999)4:2(135)

Van Liew MW, et al. Suitability of SWAT for the conservation effects assessment project: A comparison on USDA-ARS experimental watersheds. Journal of Hydrologic Engineering. 2007;12(2):173–189. DOI: 10.1061/ (ASCE) 1084-0699(2007)12:2(173)

Krause P, Boyle DP, Base F. Comparison of different efficiency criteria for hydrologica model assessment. Advances in Geosciences. 2005;5:89–97. DOI: 10.5194/ adgeo-5-89-2005

Kannan N, White SM, Worrall F, Whelan MJ. Sensitivity analysis and identification of the best evapotranspiration and runoff options for hydrological modelling in SWAT-2000. Journal of Hydrology. 2007;332(3-4):456-466.

Shi P, Chen C, Srinivasan R, Zhang X, Cai T, Fang X, Qu S, Chen X, Li Q. Evaluating the SWAT model for hydrological modeling in the Xixian watershed and a comparison with the XAJ model. Water Resources Management. 2011;25:2595-2612.

Ingle, Pravin. Hydrological modelling using SWAT. Research Journal of Recent Sciences. 2017;6(11):10-15.

Talchabhadel R, Aryal A, Kawaike K, Yamanoi K, Nakagawa H, Bhatta B, Karki S, Thapa BR. Evaluation of precipitation elasticity using precipitation data from ground and satellite-based estimates and watershed modeling in Western Nepal. Journal of Hydrology: Regional Studies. 2021;33:100768.

Talchabhadel R, Thapa BR, Sheng Z. Sensitivity analysis of groundwater parameters of SWAT model. Bulletin of Nepal Hydrogeological Association. 2020;5.