SWAT Literature Database for Peer-Reviewed Journal Articles

Title:
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Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France) 
Authors:
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Sellami, H., I. La Jeunesse, S. Benabdallah, N. Baghdadi and M. Vanclooster 
Year:2014 
Journal:Hydrology and Earth System Sciences 
Volume:18 
Pages:2393-2413 
Article ID: 
DOI:10.5194/hess-18-2393-2014 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:regionalization of input parameters 
Secondary Application Category:calibration, sensitivity, and/or uncertainty analysis 
Watershed Description:
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10 watersheds ranging in size from 3.42 to 67 km^2, that drain to the Thau Lagoon in southern France 
Calibration Summary:
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Validation Summary: 
General Comments:As of November 14, 2014 the Doi for this article does not work but the URL does. 
Abstract:In this study a method for propagating the hydrological model uncertainty in discharge predictions of ungauged Mediterranean catchments using a model parameter regionalization approach is presented. The method is developed and tested for the Thau catchment located in Southern France using the SWAT hydrological model. Regionalization of model parameters, based on physical similarity measured between gauged and ungauged catchment attributes, is a popular methodology for discharge prediction in ungauged basins, but it is often confronted with an arbitrary criterion for selecting the “behavioral” model parameter sets (Mps) at the gauged catchment. A more objective method is provided in this paper where the transferrable Mps are selected based on the similarity between the donor and the receptor catchments. In addition, the method allows propagating the modeling uncertainty while transferring the Mps to the ungauged catchments. Results indicate that physically similar catchments located within the same geographic and climatic region may exhibit similar hydrological behavior and can also be affected by similar model prediction uncertainty. Furthermore, the results suggest that model prediction uncertainty at the ungauged catchment increases as the dissimilarity between the donor and the receptor catchments increases. The methodology presented in this paper can be replicated and used in regionalization of any hydrological model parameters for estimating streamflow at ungauged catchment. 
Language:English 
Keywords: