|
|
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.
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
|
|