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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2018-01-01
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Online Access: | https://doi.org/10.1051/e3sconf/20184006038 |
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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 |
work_keys_str_mv |
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