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PreviewIssue DateTitleAuthor(s)
2018Enhancing the policy relevance of exploratory scenarios: generic approach and application to disaster risk reductionRiddell, G.; van Delden, H.; Dandy, G.; Zecchin, A.; Maier, H.
1997The use of artificial neural networks for the prediction of water quality parameters - ReplyMaier, H.; Dandy, G.
2016Framework for computationally efficient optimal crop and water allocation using ant colony optimizationNguyen, D.; Maier, H.; Dandy, G.; Ascough, J.
2005Use of artificial neural networks to forecast salinity in riversDandy, G.; Bowden, G.; Maier, H.
2009Sensitivity analysis for decision-making using the MORE method-A Pareto approachRavalico, J.; Maier, H.; Dandy, G.
2009Rainfall runoff modelling using neural networks: state-of-the-art and future research needsJain, A.; Maier, H.; Dandy, G.; Sudheer, K.
2010Evaluation of parameter setting for two GIS based unit hydrograph modelsGibbs, M.; Dandy, G.; Maier, H.
2012Optimal sequencing of water supply options at the regional scale incorporating sustainability, uncertainty and robustnessBeh, E.; Maier, H.; Dandy, G.; International Congress on Environmental Modelling and Software (6th : 2012 : Leipzig, Germany)
2007More sensitivity analysis of the MSM-BIGMOD River Murray flow and salinity modelRavalico, J.; Dandy, G.; Maier, H.; International Congress on Modelling and Simulation (17th : 2007 : Christchurch, New Zealand)
2008Calibration of rainfall runoff models in ungauged catchments: Regionalization relationships for a rainfall runoff modelGibbs, M.; Dandy, G.; Maier, H.; World Environmental and Water Resources Congress (2008 : Honolulu, Hawaii)