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Evaluation of ArcSWAT Model for Streamflow Simulation in the Humid Tropical Netravathi Catchment
The present study was taken up to evaluate the applicability and performance of the Soil and Water Assessment Tool (SWAT) hydrological model in the humid tropical Netravathi catchment (3314 km2) located in Karnataka State, India. The ArcSWAT model version, which is integrated into the ArcGIS platform was used. The main objective of the study was to evaluate the performance of the model in simulating streamflows when the sensitivity of the model was carried and calibrated using observed flows. Therefore, a model application involving the delineation of the catchment into sub-basins and hydrological response units (HRU) was adopted. The analysis was carried out based on the daily rainfall records from influencing rain gauges and climate records availability from nearby meteorological stations, which were used as inputs to the model for the period 2011–2016. Other inputs included a digital elevation model (DEM), land use/land cover (LU/LC) classes derived from satellite remote sensing imagery and hydrologic soil groups derived from soil map. Daily streamflow records for the main catchment outlet were used for model performance evaluation, sensitivity and calibration, respectively. Delineation of the Netravathi catchment using the information on elevation, LU/LC and soil types yielded 35 sub-basins and 136 hydrologic response units (HRU). A daily time step was adopted for model application. Sensitivity analysis of the model identified curve number (CN), soil evaporation compensation factor (ESCO) and available water holding capacity by soil (SOL_AWC) as the most sensitive model parameters. Subsequently, the model was calibrated for the period 2011–2014 by manually fine-tuning these parameters to minimize the sum of the squared differences between simulated and observed daily flows at the catchment outlet (Bantwal). The model calibrated in this manner was subject to validation for the period 2015–2016. The coefficient of determination (R2) and Nash–Sutcliffe model efficiency (NSE) were used to evaluate the performance of the model in simulating daily streamflows during calibration and validation phases. For the catchment outlet, model validation yielded R2 and NSE values of 0.85 and 0.82, respectively, for daily streamflow comparisons, indicating reasonably good performance as compared to the literature review. Results showed that the ArcSWAT model was also able to simulate daily streamflows satisfactorily. The calibrated model was later used to simulate streamflows for the future period predictions under changed HRU conditions. Overall, it appears that the SWAT model can be adopted for hydrological analyses and water resources management.
Evaluation of ArcSWAT Model for Streamflow Simulation in the Humid Tropical Netravathi Catchment
The present study was taken up to evaluate the applicability and performance of the Soil and Water Assessment Tool (SWAT) hydrological model in the humid tropical Netravathi catchment (3314 km2) located in Karnataka State, India. The ArcSWAT model version, which is integrated into the ArcGIS platform was used. The main objective of the study was to evaluate the performance of the model in simulating streamflows when the sensitivity of the model was carried and calibrated using observed flows. Therefore, a model application involving the delineation of the catchment into sub-basins and hydrological response units (HRU) was adopted. The analysis was carried out based on the daily rainfall records from influencing rain gauges and climate records availability from nearby meteorological stations, which were used as inputs to the model for the period 2011–2016. Other inputs included a digital elevation model (DEM), land use/land cover (LU/LC) classes derived from satellite remote sensing imagery and hydrologic soil groups derived from soil map. Daily streamflow records for the main catchment outlet were used for model performance evaluation, sensitivity and calibration, respectively. Delineation of the Netravathi catchment using the information on elevation, LU/LC and soil types yielded 35 sub-basins and 136 hydrologic response units (HRU). A daily time step was adopted for model application. Sensitivity analysis of the model identified curve number (CN), soil evaporation compensation factor (ESCO) and available water holding capacity by soil (SOL_AWC) as the most sensitive model parameters. Subsequently, the model was calibrated for the period 2011–2014 by manually fine-tuning these parameters to minimize the sum of the squared differences between simulated and observed daily flows at the catchment outlet (Bantwal). The model calibrated in this manner was subject to validation for the period 2015–2016. The coefficient of determination (R2) and Nash–Sutcliffe model efficiency (NSE) were used to evaluate the performance of the model in simulating daily streamflows during calibration and validation phases. For the catchment outlet, model validation yielded R2 and NSE values of 0.85 and 0.82, respectively, for daily streamflow comparisons, indicating reasonably good performance as compared to the literature review. Results showed that the ArcSWAT model was also able to simulate daily streamflows satisfactorily. The calibrated model was later used to simulate streamflows for the future period predictions under changed HRU conditions. Overall, it appears that the SWAT model can be adopted for hydrological analyses and water resources management.
Evaluation of ArcSWAT Model for Streamflow Simulation in the Humid Tropical Netravathi Catchment
Advances in Sustainability sci. & technol.
Bhattacharjya, Rajib Kumar (editor) / Talukdar, Bipul (editor) / Katsifarakis, Konstantinos L. (editor) / Shekar, N. C. Sanjay (author) / Abhishek, Pathak A. (author)
2022-06-18
11 pages
Article/Chapter (Book)
Electronic Resource
English
Hydrological Modeling of Stream Flow Over Netravathi River Basin
| TIBKAT | 2021
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| Springer Verlag | 2023