Comparison of two bed form models to predict bed form roughness for flood modelling

Jord Jurriaan Warmink, Suleyman Naqshband, Olav van Duin

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

15 Downloads (Pure)


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 physically-based roughness prediction improves the accuracy of the modelled water levels for operational flood forecasting.
Original languageEnglish
Title of host publicationIAHR 2015
Subtitle of host publication36th IAHR World Congress: Deltas of the Future (and what happens upstream)
EditorsArthur Mynett
Place of PublicationMadrid, Spain
Number of pages6
ISBN (Print)978-90-824846-0-1
Publication statusPublished - 2015
Event36th IAHR World Congress 2015 : Delta's of the future (and what hapens upstream) - World Forum, The Hague, Netherlands
Duration: 28 Jun 20153 Jul 2015
Conference number: 36


Conference36th IAHR World Congress 2015
CityThe Hague


  • IR-104876
  • METIS-313248

Fingerprint Dive into the research topics of 'Comparison of two bed form models to predict bed form roughness for flood modelling'. Together they form a unique fingerprint.

Cite this