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

9 Downloads (Pure)

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 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
PublisherIAHR
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

Conference

Conference36th IAHR World Congress 2015
CountryNetherlands
CityThe Hague
Period28/06/153/07/15

Fingerprint

bedform
roughness
flood forecasting
modeling
water level
flood wave
river bed
prediction
comparison
hydraulics
river

Keywords

  • IR-104876
  • METIS-313248

Cite this

Warmink, J. J., Naqshband, S., & van Duin, O. (2015). Comparison of two bed form models to predict bed form roughness for flood modelling. In A. Mynett (Ed.), IAHR 2015: 36th IAHR World Congress: Deltas of the Future (and what happens upstream) Madrid, Spain: IAHR.
Warmink, Jord Jurriaan ; Naqshband, Suleyman ; van Duin, Olav. / Comparison of two bed form models to predict bed form roughness for flood modelling. IAHR 2015: 36th IAHR World Congress: Deltas of the Future (and what happens upstream). editor / Arthur Mynett. Madrid, Spain : IAHR, 2015.
@inproceedings{aa6299af8831435a8e6b2d0dba868b85,
title = "Comparison of two bed form models to predict bed form roughness for flood modelling",
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 physically-based roughness prediction improves the accuracy of the modelled water levels for operational flood forecasting.",
keywords = "IR-104876, METIS-313248",
author = "Warmink, {Jord Jurriaan} and Suleyman Naqshband and {van Duin}, Olav",
year = "2015",
language = "English",
isbn = "978-90-824846-0-1",
editor = "Arthur Mynett",
booktitle = "IAHR 2015",
publisher = "IAHR",

}

Warmink, JJ, Naqshband, S & van Duin, O 2015, Comparison of two bed form models to predict bed form roughness for flood modelling. in A Mynett (ed.), IAHR 2015: 36th IAHR World Congress: Deltas of the Future (and what happens upstream). IAHR, Madrid, Spain, 36th IAHR World Congress 2015 , The Hague, Netherlands, 28/06/15.

Comparison of two bed form models to predict bed form roughness for flood modelling. / Warmink, Jord Jurriaan; Naqshband, Suleyman; van Duin, Olav.

IAHR 2015: 36th IAHR World Congress: Deltas of the Future (and what happens upstream). ed. / Arthur Mynett. Madrid, Spain : IAHR, 2015.

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

TY - GEN

T1 - Comparison of two bed form models to predict bed form roughness for flood modelling

AU - Warmink, Jord Jurriaan

AU - Naqshband, Suleyman

AU - van Duin, Olav

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - IR-104876

KW - METIS-313248

M3 - Conference contribution

SN - 978-90-824846-0-1

BT - IAHR 2015

A2 - Mynett, Arthur

PB - IAHR

CY - Madrid, Spain

ER -

Warmink JJ, Naqshband S, van Duin O. Comparison of two bed form models to predict bed form roughness for flood modelling. In Mynett A, editor, IAHR 2015: 36th IAHR World Congress: Deltas of the Future (and what happens upstream). Madrid, Spain: IAHR. 2015