| Title: | Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France) |
| Authors: | Sellami, H., I. La Jeunesse, S. Benabdallah, N. Baghdadi and M. Vanclooster |
| Year: | 2014 |
| Journal: | Hydrology and Earth System Sciences |
| Volume (Issue): | 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: | 10 watersheds ranging in size from 3.42 to 67 km^2, that drain to the Thau Lagoon in southern France |
| Calibration Summary: | |
| 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: | |