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  5. Overbank flow depth prediction in alluvial compound channels
 
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Overbank flow depth prediction in alluvial compound channels

Author(s)
Karamisheva, R. D.  
Lyness, J. F.  
Myers, W. R. C.  
Cassells, J. B. C.  
O'Sullivan, J. J.  
Uri
http://hdl.handle.net/10197/4052
Date Issued
2006-09-01
Date Available
2013-01-16T17:35:02Z
Abstract
Algorithms based on simple one-dimensional stage–discharge models for compound channels have been developed and tested for overbank flow data from the UK Flood Channel Facility and the University of Ulster channel with straight and meandering planforms. The proposed divided resistance approach takes into account the grain resistance, the bed form resistance and the roughness characteristics of the floodplain but it was found to give unsatisfactory prediction of the flow depth for compound channels with rough floodplains. A simple algorithm for stage–discharge prediction based on a lumped resistance approach was then proposed. It requires calibration of the overbank Manning n for a relative depth zero and a coefficient of proportionality, and this is achievable if measurements of the flow depth and velocity are taken for at least three overbank flow discharges. The application of the lumped approach to various flume and field data showed good agreement between the measured and predicted flow depths.
Type of Material
Journal Article
Publisher
Institution of Civil Engineers
Journal
Proceedings of the ICE - Water Management
Volume
159
Issue
3
Start Page
195
End Page
205
Copyright (Published Version)
2006, ICE Publishing Ltd
Subjects

Floods & floodworks

Hydraulics & hydrodyn...

River engineering

DOI
10.1680/wama.2006.159.3.195
Language
English
Status of Item
Peer reviewed
ISSN
1741-7589
1751-7729
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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Overbank flow depth prediction in alluvial compound channels_2006.pdf

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Owning collection
Civil Engineering Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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