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A Method for Quantifying Stream Network Topology over Large Geographic Extents
stream network topology upstream cell count
2015/1/8
An understanding of stream network topology is necessary for a landscape-level perspective of stream hydrology and ecology. We present a method for quantifying stream network topology that overcomes c...
Application of an artificial neural network to estimate groundwater level fluctuation
groundwater level fluctuation estimating
2015/1/7
This paper examines and compares the capability of an artificial neural network (ANN) with five different backpropagation (BP) algorithms, namely Gradient descent with momentum (GDM), Gradient descent...
Dye staining and excavation of a lateral preferential flow network
flow network solute transport flow paths
2009/7/22
Preferential flow paths have been found to be important for runoff generation, solute transport, and slope stability in many areas around the world. Although many studies have identified the particula...
Neural network modelling of non-linear hydrological relationships
Neural network modelling non-linear hydrological relationships
2009/5/13
Two recent studies have suggested that neural network modelling offers no worthwhile improvements in comparison to the application of weighted linear transfer functions for capturing the non-linear na...