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Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods

Author

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  • Manish Kumar Goyal

    (Indian Institute of Technology)

  • Venkatesh K. Panchariya

    (Indian Institute of Technology)

  • Ashutosh Sharma

    (Indian Institute of Technology)

  • Vishal Singh

    (Indian Institute of Technology)

Abstract

The aim of this study is to evaluate the performance of hydrological model - Soil & Water Assessment Tool (SWAT) in two distinct catchments, under various Digital Elevation Model (DEM) scenarios of varying resolution (from 30 m to 300 m), sources (SRTM, ASTER and CartoDEM) and resampling methods (nearest neighbour, bilinear interpolation, majority and cubic convolution) available with ArcGIS software package. A comparison was made in between model response of highly elevated Himalayan Upper Teesta catchment and peninsular monsoon dominated Upper Narmada catchment in India. Model performance was assessed & subsequently compared based on statistical measures such as coefficient of determination (R2) and Nash-Sutcliffe Efficiency (NSE), for monthly runoff and sediment yield. The sensitivity of monthly model outputs of runoff, sediment yield, Total Nitrogen (TN) & Total Phosphorous (TP) towards DEM scenarios was studied based on Relative Difference (RD). The key findings of this study are: 1) topographic characteristics of Upper Teesta catchment were found to be more sensitive towards various DEM scenarios compared with Upper Narmada catchment; 2) model performance in simulating monthly runoff was found to be unaffected for both catchments due to changes in DEM resolution & resampling method; 3) in simulating monthly sediment yield, model performance was affected due to all DEM scenarios for Upper Narmada catchment, while scenarios of changing DEM resolution and resampling method have affected model performance for Upper Teesta catchment.

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  • Manish Kumar Goyal & Venkatesh K. Panchariya & Ashutosh Sharma & Vishal Singh, 2018. "Comparative Assessment of SWAT Model Performance in two Distinct Catchments under Various DEM Scenarios of Varying Resolution, Sources and Resampling Methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(2), pages 805-825, January.
  • Handle: RePEc:spr:waterr:v:32:y:2018:i:2:d:10.1007_s11269-017-1840-1
    DOI: 10.1007/s11269-017-1840-1
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    References listed on IDEAS

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    1. Gassman, Philip W. & Reyes, Manuel R. & Green, Colleen H. & Arnold, Jeffrey G., 2007. "The Soil and Water Assessment Tool: Historical Development, Applications, and Future Research Directions," ISU General Staff Papers 200701010800001027, Iowa State University, Department of Economics.
    2. Manoj Jha & Philip W. Gassman & Silvia Secchi & Roy Gu & Jeffrey G. Arnold, 2002. "Effect of Watershed Subdivision on SWAT Flow, Sediment, and Nutrient Predictions," Center for Agricultural and Rural Development (CARD) Publications 02-wp315, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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    Cited by:

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    2. Alberto Martínez-Salvador & Carmelo Conesa-García, 2020. "Suitability of the SWAT Model for Simulating Water Discharge and Sediment Load in a Karst Watershed of the Semiarid Mediterranean Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(2), pages 785-802, January.
    3. Hüseyin Akay & Müsteyde Baduna Koçyiğit, 2021. "An Approach for Determination of the Drainage Network Effect on GIUH Using Hesitant Probabilistic Fuzzy Linguistic Sets," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(11), pages 3873-3902, September.
    4. Shizhou Ma & Karen F. Beazley & Patrick Nussey & Christopher S. Greene, 2021. "Assessing Optimal Digital Elevation Model Selection for Active River Area Delineation Across Broad Regions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(14), pages 4825-4840, November.
    5. Harikrishna Sukumaran & Sanat Nalini Sahoo, 2020. "A Methodological Framework for Identification of Baseline Scenario and Assessing the Impact of DEM Scenarios on SWAT Model Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4795-4814, December.
    6. Mou Leong Tan & Hilmi P. Ramli & Tze Huey Tam, 2018. "Effect of DEM Resolution, Source, Resampling Technique and Area Threshold on SWAT Outputs," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(14), pages 4591-4606, November.

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