Now showing items 1-3 of 3
Derivation of 2D Power-Law Velocity Distribution Using Entropy Theory
The one-dimensional (1D) power law velocity distribution, commonly used for computing velocities in open channel flow, has been derived empirically. However, a multitude of problems, such as scour around bridge piers, ...
Predicting Longitudinal Dispersion Coefficient in Natural Streams by Artificial Neural Network
An artificial neural network (ANN) model was developed to predict the longitudinal dispersion coefficient in natural streams and rivers. The hydraulic variables [flow discharge (Q), flow depth (H), flow velocity (U), shear ...
Monthly river flow simulation with a joint conditional density estimation network
(American Geophysical Union, 2013)
River flow synthesizing and downscaling are required for the analysis of risks associated with water resources management plans and for regional impact studies of climate change. This paper presents a probabilistic model ...