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Effect of Calibration and Validation Decisions on Streamflow Modeling for a Heterogeneous and Low Runoff–Producing River Basin in India

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Title Effect of Calibration and Validation Decisions on Streamflow Modeling for a Heterogeneous and Low Runoff–Producing River Basin in India
Not Available
 
Creator Partha Pratim Adhikary
D. R. Sena,
Ch. Jyotiprava Dash,
Uday Mandal
Shruti Nanda
M. Madhu,
; D. C. Sahoo,
P. K. Mishra
 
Subject : Soil and water assessment tool (SWAT); Single-site calibration; Multiple-site calibration; Pennar basin; Hydrological uncertainty.
 
Description Not Available
Spatial heterogeneity of a river basin increases the predicting uncertainty of streamflow using hydrological models, and for such
river basins calibration and prediction become a challenge. For a large and low flow–producing river basin like the Pennar basin of India,
single-site calibration may ignore spatial heterogeneity, which leads to the use of a multiple-site calibration approach. The present study
used Soil and Water Assessment Tool (SWAT) model to develop a real-world numerical model for predicting streamflow in a large, low
runoff–producing river basin and evaluated the performance of the model under single-site and multiple-site calibration approaches. Under
multiple-site approach, the large basin was divided into smaller subbasins, and the calibrated parameters were sequentially applied to the
entire basin, and so local conditions were incorporated very effectively into the calibration process. The results demonstrated the superiority
of a multiple-site calibration over a single-site calibration approach in predicting streamflow. The overall improvement of model performance
in predicting streamflow using multiple-site approach over single-site approach reached as high as 133% during calibration and 140% during
validation, as observed at the basin outlet (Chennur station). It was also observed that, within the basin, precipitation contributed only 15.8%
to surface runoff, 2.6% to total aquifer recharge, and 69.3% to evapotranspiration. Uncertainty analysis indicated that more than 64% of the
observed streamflow was bracketed by a 95% prediction uncertainty (PPU) band under the multiple-site approach. Thus, the multiple-site
calibration approach demonstrated its ability to improve model performance by capturing the heterogeneity of a low runoff–producing basin
Not Available
 
Date 2020-07-28T09:54:43Z
2020-07-28T09:54:43Z
2019-01-01
 
Type Research Paper
 
Identifier Not Available
Not Available
http://krishi.icar.gov.in/jspui/handle/123456789/38333
 
Language English
 
Relation Not Available;
 
Publisher Not Available