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SWAT Model Calibration and Validation with Remotely Sensed Evapotranspiration data in Maklang-Tuyungbi-Taret lok Ungauged Basin in Manipur, India
For regions lacking data, the water budgeting strategy using evapotranspiration calculated from satellite data may provide an alternative approach to estimating different water balance parameters. The main objective of the research is to calibrate and validate the eco-hydrological Soil and Water Assessment Tool (SWAT) model using remote sensing actual evapotranspiration (ETa) data in 20 subbasins of the Maklang-Tuyungbi-Taret river catchment, Manipur, India. The ETa data was derived from the operational simplified surface energy balance (SSEBop) model based on the moderate resolution imaging spectroradiometer (MODIS ET). The SWAT-CUP, SUFI-2 algorithm was applied for the SWAT model's monthly sensitivity analysis, calibration, and validation. Both the SSEBop and GLEAM ETa outperformed the simulated ET from the SWAT model when compared, with R2 > 0.7 and NSE > 0.7, suggesting that the optimised parameters yielded the best possible model performance. Finally, an additional model application is performed using GLEAM ETa. Using satellite soil moisture data, the simulation of soil moisture dynamics was validated, and the results showed satisfactory agreement (R2 > 0.70). The SWAT model that used the GLEAM ETa was able to represent the seasonal variation of the water balance parameters at the basin outlet. This study showed that in a basin with poor/unavailability of data, remotely sensed evapotranspiration data may apply with suitable precision for the calibration and validation of hydrological models. The novel aspect of the work is the efficient calibration and validation of an eco-hydrological model for a Basin with limited data using these openly accessible satellite-derived ETa datasets.
SWAT Model Calibration and Validation with Remotely Sensed Evapotranspiration data in Maklang-Tuyungbi-Taret lok Ungauged Basin in Manipur, India
For regions lacking data, the water budgeting strategy using evapotranspiration calculated from satellite data may provide an alternative approach to estimating different water balance parameters. The main objective of the research is to calibrate and validate the eco-hydrological Soil and Water Assessment Tool (SWAT) model using remote sensing actual evapotranspiration (ETa) data in 20 subbasins of the Maklang-Tuyungbi-Taret river catchment, Manipur, India. The ETa data was derived from the operational simplified surface energy balance (SSEBop) model based on the moderate resolution imaging spectroradiometer (MODIS ET). The SWAT-CUP, SUFI-2 algorithm was applied for the SWAT model's monthly sensitivity analysis, calibration, and validation. Both the SSEBop and GLEAM ETa outperformed the simulated ET from the SWAT model when compared, with R2 > 0.7 and NSE > 0.7, suggesting that the optimised parameters yielded the best possible model performance. Finally, an additional model application is performed using GLEAM ETa. Using satellite soil moisture data, the simulation of soil moisture dynamics was validated, and the results showed satisfactory agreement (R2 > 0.70). The SWAT model that used the GLEAM ETa was able to represent the seasonal variation of the water balance parameters at the basin outlet. This study showed that in a basin with poor/unavailability of data, remotely sensed evapotranspiration data may apply with suitable precision for the calibration and validation of hydrological models. The novel aspect of the work is the efficient calibration and validation of an eco-hydrological model for a Basin with limited data using these openly accessible satellite-derived ETa datasets.
SWAT Model Calibration and Validation with Remotely Sensed Evapotranspiration data in Maklang-Tuyungbi-Taret lok Ungauged Basin in Manipur, India
Iran J Sci Technol Trans Civ Eng
Ningthoujam, Victoria (author) / Romeji, Ngangbam (author)
2025-02-01
17 pages
Article (Journal)
Electronic Resource
English
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