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Titel	Hydrology and Earth System Sciences ; 6, no. 4
Erscheinungsjahr	2002
Medientyp	Stücktitel
ISSN	1027-5606
Erschienen	In: Hydrology and Earth System Sciences (HESS) ; Nr. 6, no. 4 (2002)
Datensatznummer	93765


Teil von
Hydrology and Earth System Sciences (HESS)


Teil(e)
Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China \| C. W. Dawson Neural networks and non-parametric methods for improving real-time flood forecasting through conceptual hydrological models \| A. Brath Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks \| J. C. Ochoa-Rivera Multi-model data fusion for river flow forecasting: an evaluation of six alternative methods based on two contrasting catchments \| R. J. Abrahart Comparison of different forms of the Multi-layer Feed-Forward Neural Network method used for river flow forecasting \| A. Y. Shamseldin The application of data mining techniques for the regionalisation of hydrological variables \| M. J. Hall Multifractal modelling and simulation of rain fields exhibiting spatial heterogeneity \| A. Pathirana A new approach to estimating Mean Flow in the UK \| M. G. R. Holmes A region of influence approach to predicting flow duration curves within ungauged catchments \| M. G. R. Holmes Spatio-temporal development of streamflow droughts in north-west Europe \| M. D. Zaidman Influence of the Yesa reservoir on floods of the Aragón River, central Spanish Pyrenees \| J. I. López-Moreno Pressure head distribution during unstable flow in relation to the formation and dissipation of fingers \| H. Cho Long-term response in episodic acidification to declining SO42– deposition in two streams in Nova Scotia \| H. Laudon Controls on the fate and transport of methylmercury in a boreal headwater catchment, northwestern Ontario, Canada \| B. A. Branfireun