Parameter and rating curve uncertainty propagation analysis of the SWAT model for two small Mediterranean catchments

• Published in: Hydrological sciences journal 2013-11, Vol.58 (8), p.1635-1657
• Main Authors: Sellami, Haykel, La Jeunesse, Isabelle, Benabdallah, Sihem, Vanclooster, Marnik
• Format: Article
• Language: English
• Subjects: analyse d'incertitude; bassins versants méditerranéens; calage du modèle; Earth Sciences; Earth, ocean, space; Environmental Sciences; Exact sciences and technology; Hydrology; Hydrology. Hydrogeology; incertitude de la courbe de tarage; incertitude des paramètres; Mediterranean catchments; model calibration; parameter uncertainty; prediction; rating curve uncertainty; Sciences of the Universe; Soil and Water Assessment Tool model; stream flow; SWAT; uncertainty; uncertainty analysis; watersheds
• ISSN: 2150-3435; 0262-6667; 2150-3435
• DOI: 10.1080/02626667.2013.837222

The SWAT model was tested to simulate the streamflow of two small Mediterranean catchments (the Vène and the Pallas) in southern France. Model calibration and prediction uncertainty were assessed simultaneously by using three different techniques (SUFI-2, GLUE and ParaSol). Initially, a sensitivity analysis was conducted using the LH-OAT method. Subsequent sensitive parameter calibration and SWAT prediction uncertainty were analysed by considering, firstly, deterministic discharge data (assuming no uncertainty in discharge data) and secondly, uncertainty in discharge data through the development of a methodology that accounts explicitly for error in the rating curve (the stage−discharge relationship). To efficiently compare the different uncertainty methods and the effect of the uncertainty of the rating curve on model prediction uncertainty, common criteria were set for the likelihood function, the threshold value and the number of simulations. The results show that model prediction uncertainty is not only case-study specific, but also depends on the selected uncertainty analysis technique. It was also found that the 95% model prediction uncertainty interval is wider and more successful at encompassing the observations when uncertainty in the discharge data is considered explicitly. The latter source of uncertainty adds additional uncertainty to the total model prediction uncertainty. Editor D. Koutsoyiannis; Associate editor D. Gerten Citation Sellami, H., La Jeunesse, I., Benabdallah, S., and Vanclooster, M., 2013. Parameter and rating curve uncertainty propagation analysis of the SWAT model for two small Mediterranean watersheds. Hydrological Sciences Journal , 58 (8), 1635−1657.