Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal

To accurately predict water levels, river models require an appropriate description of the hydraulic roughness. The bed roughness increases as river dunes grow with increasing discharge and the roughness depends on differences in channel width, bed level and bed sediment. Therefore, we hypothesize t...

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Main Authors: Domhof Boyan C.A., Berends Koen D., Spruyt Aukje, Warmink Jord J., Hulscher Suzanne J.M.H.
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:E3S Web of Conferences
Online Access:https://doi.org/10.1051/e3sconf/20184006038
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spelling doaj-00a2180c217b4472ad0735948caad58c2021-02-02T01:49:05ZengEDP SciencesE3S Web of Conferences2267-12422018-01-01400603810.1051/e3sconf/20184006038e3sconf_riverflow2018_06038Discharge and location dependency of calibrated main channel roughness: Case study on the River WaalDomhof Boyan C.A.Berends Koen D.Spruyt AukjeWarmink Jord J.Hulscher Suzanne J.M.H.To accurately predict water levels, river models require an appropriate description of the hydraulic roughness. The bed roughness increases as river dunes grow with increasing discharge and the roughness depends on differences in channel width, bed level and bed sediment. Therefore, we hypothesize that the calibrated main channel roughness coefficient is most sensitive to the discharge and location in longitudinal direction of the river. The roughness is determined by calibrating the Manning coefficient of the main channel in a 1D hydrodynamic model. The River Waal in the Netherlands is used as a case study. Results show that the calibrated roughness is mainly sensitive to discharge. Especially the transition from bankfull to flood stage and effects of floodplain compartmentation are important features to consider in the calibration as these produce more accurate water level predictions. Moreover, the downstream boundary condition also has a large effect on the calibrated roughness values near the boundary.https://doi.org/10.1051/e3sconf/20184006038
collection DOAJ
language English
format Article
sources DOAJ
author Domhof Boyan C.A.
Berends Koen D.
Spruyt Aukje
Warmink Jord J.
Hulscher Suzanne J.M.H.
spellingShingle Domhof Boyan C.A.
Berends Koen D.
Spruyt Aukje
Warmink Jord J.
Hulscher Suzanne J.M.H.
Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal
E3S Web of Conferences
author_facet Domhof Boyan C.A.
Berends Koen D.
Spruyt Aukje
Warmink Jord J.
Hulscher Suzanne J.M.H.
author_sort Domhof Boyan C.A.
title Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal
title_short Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal
title_full Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal
title_fullStr Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal
title_full_unstemmed Discharge and location dependency of calibrated main channel roughness: Case study on the River Waal
title_sort discharge and location dependency of calibrated main channel roughness: case study on the river waal
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2018-01-01
description To accurately predict water levels, river models require an appropriate description of the hydraulic roughness. The bed roughness increases as river dunes grow with increasing discharge and the roughness depends on differences in channel width, bed level and bed sediment. Therefore, we hypothesize that the calibrated main channel roughness coefficient is most sensitive to the discharge and location in longitudinal direction of the river. The roughness is determined by calibrating the Manning coefficient of the main channel in a 1D hydrodynamic model. The River Waal in the Netherlands is used as a case study. Results show that the calibrated roughness is mainly sensitive to discharge. Especially the transition from bankfull to flood stage and effects of floodplain compartmentation are important features to consider in the calibration as these produce more accurate water level predictions. Moreover, the downstream boundary condition also has a large effect on the calibrated roughness values near the boundary.
url https://doi.org/10.1051/e3sconf/20184006038
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