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Acknowledgements

The authors wish to acknowledge the contribution of Mark Bailey who provided the data sets and clarified the approach used in the SWAGSIM model validation. The support provided by the Murray-Darling Basin Commission during the initial development and the Department of Natural Resources and Environment (Victoria) in the continued development of SMILES is also acknowledged.

References

Beven, K.J., Hillslope runoff processes and flood frequency characteristics, In A.D. Abrahams (ed.) Hillslope Processes, 187-202, Allen and Unwin, Boston.

Beven, K., Changing ideas in hydrology - the case of physically-based models. J. Hydrol . 105, pp 157-172, 1989:

(Fordham, D.P. and K.W.J. Malafant)., The Murray-Darling Basin irrigation futures framework (IFF?), MODSIM97, Hobart, Tasmania, 8-11 December, 1997.

Grayson, R.B. and R.J. Nathan, On the role of physically based models in engineering hydrology.Watercomp '93 conference proceedings, March 1983, I.E. Aust National Publ. No. 93/2, pp45-50, 1993.

Klemes, V., Dilettantism in hydrology: transition of destiny? Water Resources Research 22(9), pp 1775-1885, 1986.

McDonald, G. and A.W. Harbaugh, A modular three-dimensional finite difference ground-water flow model, U.S. Geological SurveyBook 6, 1988.

Mudgway, L.B., R.J. Nathan, T.A. McMahon and H.M. Malano, Estimating salt loads in high water table areas. I. Identifying processes, J. Irrigation and Drainage Eng ., 123(2), 79-90, 1997.

Nathan, R.J., A lumped conceptual model for the prediction of regional salt loads from irrigated catchments, paper presented at Engineering for Hydrology and Water Resources, June 30-July 2, 1993.

Nelder, J.A. and R. Mead, Computer Journal, Vol 7, 308, 1965.

Prathapar, S.A., M.A. Bailey, D. Poulton and H.D. Barnes, Evaluating watertable control options using a soil water and groundwater simulation


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