Articles | Volume 18, issue 6
https://doi.org/10.5194/hess-18-2393-2014
https://doi.org/10.5194/hess-18-2393-2014
Research article
 | 
26 Jun 2014
Research article |  | 26 Jun 2014

Uncertainty analysis in model parameters regionalization: a case study involving the SWAT model in Mediterranean catchments (Southern France)

H. Sellami, I. La Jeunesse, S. Benabdallah, N. Baghdadi, and M. Vanclooster

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Cited articles

Abbaspour, K. C., van Genuchten, M. T., Schulin, R., and Schläppi, E.: A sequential uncertainty domain inverse procedure for estimating subsurface flow and transport parameters, Water Resour. Res., 33, 1879–1892, https://doi.org/10.1029/97wr01230, 1997.
Aquilina, L., Ladouche, B., Doerfliger, N., Seidel, J. L., Bakalowicz, M., Dupuy, C., and Le Strat, P.: Origin, evolution and residence time of saline thermal fluids (Balaruc springs, southern France): implications for fluid transfer across the continental shelf, Chem. Geol., 192, 1–21, https://doi.org/10.1016/S0009-2541(02)00160-2, 2002.
Arabi, M., Govindaraju, R. S., and Hantush, M. M.: A probabilistic approach for analysis of uncertainty in the evaluation of watershed management practices, J. Hydrol., 333, 459–471, https://doi.org/10.1016/j.jhydrol.2006.09.012, 2007.
Arnold, J. G., Srinivasan, R., Muttiah, R. S., and Williams, J. R.: Large area hydrological modeling and assessment Part I: Model development 1, J. Am. Water. Resour. Ass., 34, 73–89, https://doi.org/10.1111/j.1752-1688.1998.tb05961.x, 1998.
Baghdadi, N., Cresson, R., El Hajj, M., Ludwig, R., and La Jeunesse, I.: Estimation of soil parameters over bare agriculture areas from C-band polarimetric SAR data using neural networks, Hydrol. Earth Syst. Sci., 16, 1607–1621, https://doi.org/10.5194/hess-16-1607-2012, 2012.
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