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Modeling and Calibrating the Soil Moisture and Discharge with VIC Model and SMAP Satellite Data, Saghez Station, Zarinehrood River Basin

Karimi Yalmeh, Mohammad Reza | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55028 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Tajrishi, Masoud; Jalilvand, Ehsan
  7. Abstract:
  8. In this thesis we evaluate VIC hydrological model’s simulated soil moisture and discharge at Saghez synoptic station, located at ZarinehRood sub basin, Urmia Lake basin in three time periods to overcome observational and satellite data scarcity in the basin. All the input files for this macro scale semi-distributed model chose from satellite data. With a multi-objective calibration algorithm called NSGA-II and utilizing Nash-Sutcliffe (NSE) and R2 as objective functions for discharge calibration and correlation coefficient and RMSE for soil calibration, the model results evaluated. As where as we didn’t have access to observational soil moisture data, we utilized SMAP satellite soil moisture data. In calibration period (2015-2017) for discharge by three calibration methods we will have NSE equal to 0.48, 053 and 0.33. For validation period NSE will be 0.47, 0.55 and 0.38 and for the period before calibration period it would be 0.63, 0.67 and 0.64. R2 would be 0.5, 0.53, 0.36 and 0.59, 0.64, 0.59 and 0.68, 0.69, 0.68 for these periods. The average correlation coefficient for evaluating soil moisture results would be 0.77, 0.74, 0.77 and 0.8, 0.78, 0.8 for calibration and validation periods under three calibration methods and average RMSE respectively would be 0.05, 0.05, 0.05 and 0.06, 0.06, 0.06 for these periods. To conclude the results demonstrate that the model has the ability to simulate discharge and soil moisture properly. Model calibration with SMAP results demonstrate the ability of this method to overcome observational discharge data scarcity and at the end we talk about an appropriate method for overcoming observational discharge data scarcity in different basins by utilizing SMAP data for calibration process
  9. Keywords:
  10. Soil Moisture ; Variable Infiltration Capacity (VIC)Model ; Hydrological Modeling ; Multi-Objective Calibration ; Semi-Distributed Model ; Variable Infiltration Capacity (VIC)Hydrological Model ; Nash-Sutcliffe Efficiency ; Soil Moisture Active Passive (SMAP)Calibration

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