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Results 1-10 of 53 (Search time: 0.005 seconds).
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PreviewIssue DateTitleAuthor(s)
2010Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directionsMaier, H.; Jain, A.; Dandy, G.; Sudheer, K.
2013Selecting among five common modelling approaches for integrated environmental assessment and managementKelly, R.; Jakeman, A.; Barreteau, O.; Borsuk, M.; ElSawah, S.; Hamilton, S.; Henriksen, H.; Kuikka, S.; Maier, H.; Rizzoli, A.; van Delden, H.; Voinov, A.
2013Relative magnitudes of sources of uncertainty in assessing climate change impacts on water supply security for the southern Adelaide water supply systemPaton, F.; Maier, H.; Dandy, G.
2011A hydraulic mixing-cell method to quantify the groundwater component of streamflow within spatially distributed fully integrated surface water-groundwater flow modelsPartington, D.; Brunner, P.; Simmons, C.; Therrien, R.; Werner, A.; Dandy, G.; Maier, H.
2012A generic framework for regression regionalization in ungauged catchmentsGibbs, M.; Maier, H.; Dandy, G.
2010The response of freshwater plants to salinity pulsesGoodman, A.; Ganf, G.; Dandy, G.; Maier, H.; Gibbs, M.
2011An integrated dynamic modeling framework for investigating the impact of climate change and variability on irrigated agricultureRowan, T.; Maier, H.; Connor, J.; Dandy, G.
2016A hybrid approach to monthly streamflow forecasting: integrating hydrological model outputs into a Bayesian artificial neural networkHumphrey, G.; Gibbs, M.; Dandy, G.; Maier, H.
2012Real-time deployment of artificial neural network forecasting models: Understanding the range of applicabilityBowden, G.; Maier, H.; Dandy, G.
2012Evaluation of outputs from automated baseflow separation methods against simulated baseflow from a physically based, surface water-groundwater flow modelPartington, D.; Brunner, P.; Simmons, C.; Werner, A.; Therrien, R.; Maier, H.; Dandy, G.