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      https://www.ias.ac.in/article/fulltext/jess/129/0200

    • Keywords

       

      VIC; HEC-RAS; VIC-ASSIST; reservoir; routing.

    • Abstract

       

      Present study assesses the effect of finer land-use classification in simulating the rainfall-runoff response of Kangsabati reservoir catchment (3,627 km$^{2}$) and command (7,112 km$^{2}$) by considering cropland heterogeneity in variable infiltration capacity (VIC) model. High resolution LISS-IV satellite imageries were used for the land-use classification. Global sensitivity analysis was performed using VIC-ASSIST to identify the most and least influential parameters based on the sensitivity index of elementary effects. A fully distributed calibration approach was employed using 16 (detailed) and 8 (lumped) vegetation classes. Low flows during lean periods were over-estimated and peak flows were under-estimated by both the model setups at Kangsabati reservoir site. Detailed land-use classification resulted in the reduction in streamflow over-estimation (Percent Bias (PBIAS) from −20.99 to −14.41 during calibration and from –22.83 to –7.17 during validation) at daily time step. It further demonstrates the improvement in simulating the peak flows; hence, highlighting the importance of detailed land-use classification for vegetation parameterization in VIC model setup. River discharge regulation at Kangsabati reservoir resulted in poor model performance at Mohanpur, downstream site of Kangsabati reservoir. Therefore, calibration for Mohanpur was performed after updating the VIC simulated streamflow with routed reservoir spillage using Hydrologic Engineering Center-River Analysis System (HEC-RAS) model. Streamflow updation employing HEC-RAS at Mohanpur improved the modelling efficiency (Nash–Sutcliffe efficiency (NSE) from 0.50 to 0.65 during calibration and from 0.55 to 0.67 during validation) and reduced bias (PBIAS from 6.25 to –2.23 during calibration and from 15.06 to 7.40 during validation) considerably for daily flows. Model performance with reasonable accuracy was achieved at both the calibration locations which demonstrates the potential applicability of VIC model to predict streamflow in the monsoon dominated Kangsabati reservoir catchment and command.

      $\bf{Highlights}$

      $\bullet$LISS-IV satellite imageries were classified using ground truth survey data obtained for different crop types in the study area.

      $\bullet$Crop specific vegetation parameterization was used in setting up VIC modeling framework.

      $\bullet$Modeling efficacy was assessed for two vegetation parameterization schemes using single crop type and multiple crops.

      $\bullet$Global sensitivity analysis and fully distributed automatic calibration was performed using VIC-ASSIST software package.

      $\bullet$Utility of HEC-RAS was shown in routing reservoir spillage to the downstream gauging point in VIC modeling framework in the absence of integrated reservoir module.

    • Author Affiliations

       

      MINOTSHING MAZA1 2 ANKUR SRIVASTAVA1 3 DEEPAK SINGH BISHT1 4 NARENDRA SINGH RAGHUWANSHI1 5 ARNAB BANDYOPADHYAY2 CHANDRANATH CHATTERJEE1 ADITI BHADRA2

      1. Agricultural and Food Engineering Department, Indian Institute of Technology Kharagpur, Kharagpur, India.
      2. Department of Agricultural Engineering, North Eastern Regional Institute of Science and Technology, Itanagar, India.
      3. Department of Civil Engineering, University of Newcastle, Callaghan, NSW 2308, Australia.
      4. National Institute of Hydrology, Western Himalayan Regional Centre, Jammu 180 003, India.
      5. Maulana Azad National Institute of Technology, Bhopal, India.
    • Dates

       
  • Journal of Earth System Science | News

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