Skip to main content
Log in

Hydrological Simulation in a Forest Dominated Watershed in Himalayan Region using SWAT Model

  • Published:
Water Resources Management Aims and scope Submit manuscript

Abstract

The present study is taken up to test the suitability of SWAT (Soil and Water Assessment Tool) model for estimation of runoff and to understand sensitiveness of model input parameters in a predominantly forested watershed in Kumaun region of Himalaya. The study area Dabka is a small watershed (69.41 km2) lies in North West of Nainital in Uttarakhand. The SWAT is calibrated at an upstream intermediate gauging site Bagjhala draining approximately an area of 65.78 km2 on monthly basis due to non-availability of observed data at main outlet. A local sensitivity analysis is performed on 13 input variables in terms of model outputs such as water yield, surface runoff and baseflow to gain in depth understanding of the role of different model parameters for their proper selection. The study concluded that model performed well with Root Mean Square Error (RMSE) value 0.242 for calibration and 0.81 for validation. Nash Sutcliffe Efficiency (NSE) for calibration and validation period is obtained as 0.77 and 0.73 respectively whereas Coefficient of determination (R2) for calibration and validation period is 0.86 and 0.90 indicating good model performance. The most sensitive model parameters affecting water yield are CN2, GWQMN and SOL_Z. On the basis of sensitiveness of model parameters, the ranking of most sensitive parameters from highest sensitive to relatively lesser sensitiveness on stream flow are CN2, SOL_K and SOL_AWC whereas for base flow SOL_AWC, SOL_Z and GWQMN are found to be more sensitive followed by CN2, ESCO and SOL_K.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Arnold JG, Fohrer N (2005) SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrol Process 19(3):563–572

    Article  Google Scholar 

  • Arnold JG, Williams JR, Nicks AD, Sammons NB (1990) SWRRB: A basin scale simulation model for soil and water resources management. A&M University Press, College Station, p 255

    Google Scholar 

  • Beven KJ (1989) Changing ideas in hydrology—the case of physically-based models. J Hydrol 105:157–172

    Article  Google Scholar 

  • Beven KJ (2001) Rainfall– Runoff modelling- the primer. Wiley, Chichester, 360

    Google Scholar 

  • Box GEP, Jenkins GM (1976) Time series analysis: forecasting and control. Holden-Day, San-Fransisco, p 588

    Google Scholar 

  • Chanasyk DS, Mapfumo E, Willms W (2003) Quantification and simulation of surface runoff from fescue grassland watersheds. Agr Water Manag 59(2):137–153

    Article  Google Scholar 

  • Cho SM, Lee MW (2001) Sensitivity considerations when modelling hydrologic processes with digital elevation model. J Am Water Resour Assoc 37(4):931–934

    Article  Google Scholar 

  • Chu TW, Shirmohammadi A (2004) Evaluation of the SWAT model’s hydrology component in the piedmont physiographic region of Maryland. Trans ASAE 47(4):1057–1073

    Google Scholar 

  • Cibin R, Sudheer KP, Chaubey I (2010) Sensitivity and identifiability of stream flow generation parameters of the SWAT model. Hydrol Process 24(9):1133–1148

    Article  Google Scholar 

  • Du B, Ji X, Harmel RD, Hauck LM (2009) Evaluation of a watershed model for estimating daily flow using limited flow measurements. J Am Water Resour Assoc 45(2):475–484

    Article  Google Scholar 

  • Green WH, Ampt GA (1911) Studies on soil physics: Part 1. The flow of air and water through soils. J Agr Sci 4:11–24

    Google Scholar 

  • Haan CT (2002) Statistical methods in hydrology, 2nd edn. Ames, Iowa, p 496

    Google Scholar 

  • Hamby DM (1994) A review of techniques for parameter sensitivity analysis of environmental models. Environ Monit Assess 32:135–154

    Article  Google Scholar 

  • Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96–99

    Google Scholar 

  • Jain SK, Jaivir T, Vishal S (2010) Simulation of Runoff and Sediment Yield for a Himalayan Watershed Using SWAT Model. J Water Resource Protect 2:267–281

    Article  Google Scholar 

  • Legates DR, McCabe GJ (1999) Evaluating the use of“goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241

    Article  Google Scholar 

  • Leonard RA, Knisel WG, Still DA (1987) GLEAMS: Groundwater loading effects of agricultural management systems. Trans ASAE 30(5):1403–1418

    Google Scholar 

  • Lenhart T, Eckhardt K, Fohrer N, Frede HG (2002) Comparison of two different approaches of sensitivity analysis. Phys Chem Earth 27:645–654

    Google Scholar 

  • Meiyan Y, Chen X, Li L et al (2011) Streamflow simulation by SWAT using different precipitation sources in large arid basins with scarce raingauges. Water Resour Manag 25:2669–2681

    Article  Google Scholar 

  • Monteith JL (1965) Evaporation and the environment. In: The state and movement of water in living organisms, XIXth Symposium of the Society for Experimental Biology. Cambridge University Press. pp 205–234.

  • Motovilov YG, Gottschalk L, Engeland K, Rodhe A (1999) Validation of distributed hydrological model against spatial observations. Agric For Meteorol 98(1):257–277

    Article  Google Scholar 

  • Narasimhan B, Srinivasan R, Arnold JG, Di Luzio M (2005) Estimation of long-term soil moisture using a distributed parameter hydrologic model and verification using remotely sensed data. Trans ASAE 48(3):1101–1113

    Google Scholar 

  • Nash JE, Sutcliffe JV (1970) River flow forecasting through conceptual models, Part I: a discussion of principles. J Hydrol 10(3):282–290

    Article  Google Scholar 

  • National Bureau of Soil Survey and Land Use Planning, ICAR, Nagpur (2004) Soils of Uttar Pradesh for optimising land use: executive summary. Soils of Indian Series: Publication Number 68

  • Neitsch SL, Arnold JG, Kiniry JR, Srinivasan R, Williams JR (2007) Soil and water assessment tool theoretical documentation, version 2005. Grassland, Soil and Water Research Laboratory, Blackland Research Centre, USDA-Agricultural Research Service, Temple

    Google Scholar 

  • Neitsch SL, Arnold JG, Kiniry JR, Srinivasan R, Williams JR (2010) Soil and water assessment tool input/output file documentation, version 2009. Grassland, Soil and Water Research Laboratory, Blackland Research Centre, USDA-Agricultural Research Service, Temple

    Google Scholar 

  • Priestly CHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100:81–92

    Article  Google Scholar 

  • Rossi CG, Srinivasan R, Jirayoot K, Le Due T et al (2009) Hydrologic evaluation of the lower Mekong River basin with the Soil and Water Assessment Tool model. Int Agric Eng J 18(1–2):1–13

    Google Scholar 

  • Schuol J, Abbaspour KC, Srinivasan R, Yang H (2008) Estimation of freshwater availability in the West African sub-continent using the SWAT hydrologic model. J Hydrol 352(1–2):30–49

    Article  Google Scholar 

  • Sevat E, Dezetter A (1991) Selection of calibration objective functions in the context of rainfall-runoff modelling in a Sudanese savannah area. Hydrol Sci J 36:307–330

    Article  Google Scholar 

  • Spruill CA, Workman SR, Taraba JL (2000) Simulation of daily and monthly stream discharge from small watersheds using the SWAT model. Trans ASAE 43(6):1431–1439

    Google Scholar 

  • Srinivasan R, Arnold JG (1994) Integration of a basin-scale water quality model with GIS. Water Resour Bull Am Water Resour Assoc 30(3):453–462

    Article  Google Scholar 

  • Stehr A, Aguayo M, Link O, Parra O, Romero F, Alcayaga H (2010) Modelling the hydrologic response of a mesoscale Andean watershed to changes in land use patterns for environmental planning. Hydrol Earth Syst Sci 14:1963–1977

    Article  Google Scholar 

  • United States Department of Agriculture, Soil Conservation Service (1972) SCS National Engineering Handbook, Section 4: Hydrology.U.S. Department of Agriculture, Washington, D.C

    Google Scholar 

  • Van Griensven A, Meixner T, Grunwald S, Bishop T, Diluzio M, Srinivasan R (2005) A global sensitivity analysis tool for the parameters of multi-variable catchment models. J Hydrol 324(1–4):10–23

    Google Scholar 

  • Van Liew MW, Veith TL, Bosch DD, Arnold JG (2007) Suitability of SWAT for the Conservation Effects Assessment Project: comparison on USDA-ARS watersheds. J Hydrol Eng 12(2):173–189

    Article  Google Scholar 

  • White KL, Chaubey I (2005) Sensitivity analysis, calibration, and validations for a multisite and multivariable swat model. J Am Water Resour Assoc 41(5):1077–1089

    Google Scholar 

  • Williams JR, Nicks AD, Arnold JG (1985) Simulator for water resources in rural basins. J Hydrol Engr 111(6):970–986

    Article  Google Scholar 

  • Williams JR, Jones CA, Dyke PT (1984) A modelling approach to determine the relationship between erosion and soil productivity. Trans ASAE 27(1):219–144

    Google Scholar 

  • Winchell M, Srinivasan R, Luzio MD, Arnold JG (2010) ArcsWAT interface for SWAT2009 User’s Guide. Grassland, Soil and Water Research Laboratory, Agricultural Research Service Blackland Research Centre, USDA-Agricultural Research Service, Temple

    Google Scholar 

  • Wu K, Johnston CA (2007) Hydrologic response to climatic variability in a Great Lakes Watershed: a case study with the SWAT model. J Hydrol 337:187–199

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Akansha Kushwaha.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Kushwaha, A., Jain, M.K. Hydrological Simulation in a Forest Dominated Watershed in Himalayan Region using SWAT Model. Water Resour Manage 27, 3005–3023 (2013). https://doi.org/10.1007/s11269-013-0329-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11269-013-0329-9

Keywords

Navigation