Articles | Volume 24, issue 8
https://doi.org/10.5194/hess-24-4135-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-24-4135-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Aug 2020
Research article |
| 25 Aug 2020
| 25 Aug 2020
Predicting discharge capacity of vegetated compound channels: uncertainty and identifiability of one-dimensional process-based models
Adam Kiczko
CORRESPONDING AUTHOR
Institute of Environmental Engineering, Warsaw University of Life Sciences – SGGW, Warsaw, Poland
Kaisa Västilä
Department of Built Environment, Aalto University School of Engineering, Espoo, Finland
Freshwater Centre, Finnish Environment Institute, Helsinki, Finland
Adam Kozioł
Institute of Environmental Engineering, Warsaw University of Life Sciences – SGGW, Warsaw, Poland
Janusz Kubrak
Institute of Environmental Engineering, Warsaw University of Life Sciences – SGGW, Warsaw, Poland
Elżbieta Kubrak
Institute of Environmental Engineering, Warsaw University of Life Sciences – SGGW, Warsaw, Poland
Marcin Krukowski
Institute of Environmental Engineering, Warsaw University of Life Sciences – SGGW, Warsaw, Poland
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Cited
14 citations as recorded by crossref.
- Assessing bed shear stress effects on flow resistance of vegetated channel beds by means of Leaf Area Index (LAI) V. Pasquino et al. 10.1016/j.jhydrol.2024.132518
- New formulas addressing flow resistance of floodplain vegetation from emergent to submerged conditions W. Box et al. 10.1080/15715124.2022.2143512
- Deriving Planform Morphology and Vegetation Coverage From Remote Sensing to Support River Management Applications R. Boothroyd et al. 10.3389/fenvs.2021.657354
- Agricultural Water Management Using Two-Stage Channels: Performance and Policy Recommendations Based on Northern European Experiences K. Västilä et al. 10.3390/su13169349
- Combined effect of a mobile bed and floodplain edge vegetation on compound channel conveyance T. Branß & J. Aberle 10.1080/00221686.2022.2041498
- Influence of vegetation maintenance on flow and mixing: case study comparing fully cut with high-coverage conditions M. Kalinowska et al. 10.5194/hess-27-953-2023
- Flow resistance of floodplain vegetation mixtures for modelling river flows W. Box et al. 10.1016/j.jhydrol.2021.126593
- Longitudinal dispersion affected by willow patches of low areal coverage K. Västilä et al. 10.1002/hyp.14613
- Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework Q. Han et al. 10.1016/j.envsoft.2025.106330
- What is the actual composition of specific land cover? An evaluation of the accuracy at a national scale – Remote sensing in comparison to topographic land cover J. Bihałowicz et al. 10.1016/j.rsase.2024.101319
- Experimentation and Modeling of Reach-Scale Vegetative Flow Resistance due to Willow Patches U. Ji et al. 10.1061/JHEND8.HYENG-13293
- Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques S. Kumar et al. 10.1016/j.eswa.2023.120885
- Improving the Reliability of Compound Channel Discharge Prediction Using Machine Learning Techniques and Resampling Methods S. Seyedian et al. 10.1007/s11269-024-03883-z
- Discharge prediction in partly vegetated channel flows: Adaptation of IDCM method with a curved interface and large-scale roughness elements M. Ben Meftah & M. Mossa 10.1016/j.jhydrol.2022.128805
14 citations as recorded by crossref.
- Assessing bed shear stress effects on flow resistance of vegetated channel beds by means of Leaf Area Index (LAI) V. Pasquino et al. 10.1016/j.jhydrol.2024.132518
- New formulas addressing flow resistance of floodplain vegetation from emergent to submerged conditions W. Box et al. 10.1080/15715124.2022.2143512
- Deriving Planform Morphology and Vegetation Coverage From Remote Sensing to Support River Management Applications R. Boothroyd et al. 10.3389/fenvs.2021.657354
- Agricultural Water Management Using Two-Stage Channels: Performance and Policy Recommendations Based on Northern European Experiences K. Västilä et al. 10.3390/su13169349
- Combined effect of a mobile bed and floodplain edge vegetation on compound channel conveyance T. Branß & J. Aberle 10.1080/00221686.2022.2041498
- Influence of vegetation maintenance on flow and mixing: case study comparing fully cut with high-coverage conditions M. Kalinowska et al. 10.5194/hess-27-953-2023
- Flow resistance of floodplain vegetation mixtures for modelling river flows W. Box et al. 10.1016/j.jhydrol.2021.126593
- Longitudinal dispersion affected by willow patches of low areal coverage K. Västilä et al. 10.1002/hyp.14613
- Evaluating the influence of topography data resolution on lake hydrodynamic model under a simulation uncertainty analysis framework Q. Han et al. 10.1016/j.envsoft.2025.106330
- What is the actual composition of specific land cover? An evaluation of the accuracy at a national scale – Remote sensing in comparison to topographic land cover J. Bihałowicz et al. 10.1016/j.rsase.2024.101319
- Experimentation and Modeling of Reach-Scale Vegetative Flow Resistance due to Willow Patches U. Ji et al. 10.1061/JHEND8.HYENG-13293
- Predicting flow velocity in a vegetative alluvial channel using standalone and hybrid machine learning techniques S. Kumar et al. 10.1016/j.eswa.2023.120885
- Improving the Reliability of Compound Channel Discharge Prediction Using Machine Learning Techniques and Resampling Methods S. Seyedian et al. 10.1007/s11269-024-03883-z
- Discharge prediction in partly vegetated channel flows: Adaptation of IDCM method with a curved interface and large-scale roughness elements M. Ben Meftah & M. Mossa 10.1016/j.jhydrol.2022.128805
Latest update: 30 Jan 2025
Short summary
The study compares the uncertainty of discharge curves for vegetated channels, calculated using several methods, including the simplest ones, based on the Manning formula and advanced approaches, providing a detailed physical representation of the channel flow processes. Parameters of each method were identified for the same data sets. The outcomes of the study include the widths of confidence intervals, showing which method was the most successful in explaining observations.
The study compares the uncertainty of discharge curves for vegetated channels, calculated using...
