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Paper Information

Journal:   IRAN-WATER RESOURCES RESEARCH   Fall 2020 , Volume 16 , Number 3 ; Page(s) 212 To 221.
 
Paper: 

Identification And Uncertainty Analysis Of Sensitive Parameter Of Swat Model In Kardeh Streamflow Simulation

 
 
Author(s):  Salimirad H., Dehvari A., Galavi H.*, Ebrahimian M.
 
* Department of Water Engineering, Faculty of Water and Soil, University of Zabol, Zabol, Iran
 
Abstract: 
Distributed hydrological models use a large number of parameters in simulating a watershed and accordingly are subjected to model uncertainty. This study, therefore, analyzes the model uncertainty induced by its parameters instability. The soil and water assessment tool (SWAT)— a powerful semi-distributed hydrological model— is employed here to simulate the Kardeh river flow, in Iran. The model parameter sensitivity was assessed using the global sensitivity analysis method. For the uncertainty analysis, the generalized likelihood uncertainty estimation (GLUE) technique was used which performs the uncertainty analysis and calibration of the model through inverse modeling. Observed streamflow data of 2000-2006 and 2008-2012 were respectively used for uncertainty-analysis/calibration and validation periods. Consulting the Nash-Sutcliffe efficiency coefficient values obtained in calibration (0. 64) and validation (0. 68) steps, the developed SWAT model showed good performance for simulating Kardeh river flow. The produced uncertainty band was also able to encompass respectively 68 % and 93 % of the observations during calibration and validation steps. Results, while confirming the model goodness of fit, showed that the generated uncertainty interval by GLUE covers a large spectrum of the probable streamflow scenarios in the study area. Therefore, the model applicability in the study area is confirmed under different uncertainty scenarios and it can be applied for the river basin planning and management. The calibrated model can be reliably forced by climate change scenario driven data to assess the hydrological impacts of climate change in the study area.
 
Keyword(s): Parameter Uncertainty,GLUE,Sensitivity Analysis,Inverse Modeling
 
 
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APA: Copy

Salimirad, H., & DEHVARI, A., & Galavi, H., & EBRAHIMIAN, M. (2020). Identification and Uncertainty Analysis of Sensitive Parameter of SWAT model in Kardeh Streamflow Simulation. IRAN-WATER RESOURCES RESEARCH, 16(3 ), 212-221. https://www.sid.ir/en/journal/ViewPaper.aspx?id=831463



Vancouver: Copy

Salimirad H., DEHVARI A., Galavi H., EBRAHIMIAN M.. Identification and Uncertainty Analysis of Sensitive Parameter of SWAT model in Kardeh Streamflow Simulation. IRAN-WATER RESOURCES RESEARCH. 2020 [cited 2022January27];16(3 ):212-221. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=831463



IEEE: Copy

Salimirad, H., DEHVARI, A., Galavi, H., EBRAHIMIAN, M., 2020. Identification and Uncertainty Analysis of Sensitive Parameter of SWAT model in Kardeh Streamflow Simulation. IRAN-WATER RESOURCES RESEARCH, [online] 16(3 ), pp.212-221. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=831463.



 
 
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