Assessment of bed-load predictors based on sampling in a gravel bed river
File version
Author(s)
H. Omid, Mohammad
A. Dehghani, Amir
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
License
Abstract
Bedload transport in alluvial channels has been extensively studied and different equations based on field and/or experimental data have been proposed. Prediction of bed-load transport rate using different equations results in wide ranges which are not always reliable. In this study, some of the universal bedload predictors were evaluated with measured load by a Helley-Smith sampler in the Node River, a gravel bed river in the northeast part of Iran. From 19 sets of data, 14 series of data were used to evaluate the bed-load transport equations. The results show that the equations presented by Van Rijn, Meyer-Peter and Mueller, and Ackers and White may adequately predict bedload transport in the range of field data.
Journal Title
Journal of Hydrodynamics
Conference Title
Book Title
Edition
Volume
24
Issue
1
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note
Access the data
Related item(s)
Subject
Environmental Impact Assessment
Engineering