TA586 : Feasibility study of using the VIC hydrologic model baxsed on Earth observation satellite data
Thesis > Central Library of Shahrood University > Civil & Architectural Engineering > MSc > 2020
Authors:
Hossein Salehi [Author], Saeid Gharechelou[Supervisor], Saeed Golian[Supervisor]
Abstarct: In this study, runoff was simulated by ground Earth observation satellite data and VIC hydrological model. Thest site is the Hablehroud catchment located in the east of Tehran province in the period of 1992 to 1996. The VIC model is a mesoscale hydrological model that was used in this study in water balance mode. It is calibrated using the NSGA-II multi-objective optimization algorithm, which aimed to reduce the transformed root of the mean square of the error (TRMSE) and increased the Nash-Sutcliffe efficiency coefficient (NSE). To evaluate the ability of the model, simulations were performed with the precipitation data from ground observation stations and the coefficient of determination (R2), NSE coefficient and TRMSE in the calibration period (1992-1992) were equal to 0.72, 0.72 and 0.62, respectively. In the validation period (1995-1996) it was equal to 0.73, 0.72 and 0.52. Also, these coefficients on monthly scale in the calibration period were equal to 0.85, 0.84 and 0.47 and for the validation period were equal to 0.84, 0.84 and 0.42. After evaluating the model's ability to calibrate the model with the PERSIANN-CDR satellite precipitation data, the coefficients of R2 and NSE and TRMSE were equal to 0.61, 0.60 and 0.62 in the calibration period and equal to the validation period, respectively 0.67, 0.62 and 0.58. On monthly scale, these coefficients were 0.75, 074 and 0.49 for the calibration period and 0.82, 0.78 and 0.46 for the validation period. The results showed properly estimation of runoff by the VIC hydrological model using earth observational satellite data in the Hablehroud catchment, which is confirmed by the obtained coefficients.
Keywords:
#VIC hydrological model #NSGA-II multi-objective optimization algorithm #Ground observation satellites #Satellite precipitation data #PERSAINN-CDR Keeping place: Central Library of Shahrood University
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