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You are here : eLibrary : IAHR World Congress Proceedings : 36th Congress - The Hague (2015) ALL CONTENT : Untitled : Comparison of two bed form models to predict bed form roughness for floodmodelling
Comparison of two bed form models to predict bed form roughness for floodmodelling
Author : JORD J. WARMINK(1), OLAV J.M. VAN DUIN(1,2) & SULEYMAN NAQSHBAND(1)
ABSTRACT
The hydraulic roughness of the main channel of most lowland rivers is dominated by bed forms. River bed forms act as
roughness to the flow, thereby significantly influencing the water levels, which are essential for flood forecasting. We
compared a time-lag model and a physically based pickup and deposition model to predict dynamic bed form evolution
during a flood wave in the flume and the field. The results showed that the explicit computation of bed form and associated
roughness predictions perform equally well as a calibrated model for the flume case, but slightly less for the field case. We
were able to explain a large part of the roughness of the main channel that is normally calibrated. Using a physicallybased
roughness prediction improves the accuracy of the modelled water levels for operational flood forecasting
File Size : 694,594 bytes
File Type : Adobe Acrobat Document
Chapter : IAHR World Congress Proceedings
Category : 36th Congress - The Hague (2015) ALL CONTENT
Article :
Date Published : 20/08/2015
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