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Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river

Numerical morphological modeling of braided rivers, using a physics‐based approach, is increasingly used as a technique to explore controls on river pattern and, from an applied perspective, to simulate the impact of channel modifications. This paper assesses a depth‐averaged nonuniform sediment mod...

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Autores principales: Williams, R. D., Measures, R., Hicks, D. M., Brasington, J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5042110/
https://www.ncbi.nlm.nih.gov/pubmed/27708477
http://dx.doi.org/10.1002/2015WR018491
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author Williams, R. D.
Measures, R.
Hicks, D. M.
Brasington, J.
author_facet Williams, R. D.
Measures, R.
Hicks, D. M.
Brasington, J.
author_sort Williams, R. D.
collection PubMed
description Numerical morphological modeling of braided rivers, using a physics‐based approach, is increasingly used as a technique to explore controls on river pattern and, from an applied perspective, to simulate the impact of channel modifications. This paper assesses a depth‐averaged nonuniform sediment model (Delft3D) to predict the morphodynamics of a 2.5 km long reach of the braided Rees River, New Zealand, during a single high‐flow event. Evaluation of model performance primarily focused upon using high‐resolution Digital Elevation Models (DEMs) of Difference, derived from a fusion of terrestrial laser scanning and optical empirical bathymetric mapping, to compare observed and predicted patterns of erosion and deposition and reach‐scale sediment budgets. For the calibrated model, this was supplemented with planform metrics (e.g., braiding intensity). Extensive sensitivity analysis of model functions and parameters was executed, including consideration of numerical scheme for bed load component calculations, hydraulics, bed composition, bed load transport and bed slope effects, bank erosion, and frequency of calculations. Total predicted volumes of erosion and deposition corresponded well to those observed. The difference between predicted and observed volumes of erosion was less than the factor of two that characterizes the accuracy of the Gaeuman et al. bed load transport formula. Grain size distributions were best represented using two φ intervals. For unsteady flows, results were sensitive to the morphological time scale factor. The approach of comparing observed and predicted morphological sediment budgets shows the value of using natural experiment data sets for model testing. Sensitivity results are transferable to guide Delft3D applications to other rivers.
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spelling pubmed-50421102016-10-03 Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river Williams, R. D. Measures, R. Hicks, D. M. Brasington, J. Water Resour Res Research Articles Numerical morphological modeling of braided rivers, using a physics‐based approach, is increasingly used as a technique to explore controls on river pattern and, from an applied perspective, to simulate the impact of channel modifications. This paper assesses a depth‐averaged nonuniform sediment model (Delft3D) to predict the morphodynamics of a 2.5 km long reach of the braided Rees River, New Zealand, during a single high‐flow event. Evaluation of model performance primarily focused upon using high‐resolution Digital Elevation Models (DEMs) of Difference, derived from a fusion of terrestrial laser scanning and optical empirical bathymetric mapping, to compare observed and predicted patterns of erosion and deposition and reach‐scale sediment budgets. For the calibrated model, this was supplemented with planform metrics (e.g., braiding intensity). Extensive sensitivity analysis of model functions and parameters was executed, including consideration of numerical scheme for bed load component calculations, hydraulics, bed composition, bed load transport and bed slope effects, bank erosion, and frequency of calculations. Total predicted volumes of erosion and deposition corresponded well to those observed. The difference between predicted and observed volumes of erosion was less than the factor of two that characterizes the accuracy of the Gaeuman et al. bed load transport formula. Grain size distributions were best represented using two φ intervals. For unsteady flows, results were sensitive to the morphological time scale factor. The approach of comparing observed and predicted morphological sediment budgets shows the value of using natural experiment data sets for model testing. Sensitivity results are transferable to guide Delft3D applications to other rivers. John Wiley and Sons Inc. 2016-08-27 2016-08 /pmc/articles/PMC5042110/ /pubmed/27708477 http://dx.doi.org/10.1002/2015WR018491 Text en © 2016. The Authors. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Williams, R. D.
Measures, R.
Hicks, D. M.
Brasington, J.
Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
title Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
title_full Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
title_fullStr Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
title_full_unstemmed Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
title_short Assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
title_sort assessment of a numerical model to reproduce event‐scale erosion and deposition distributions in a braided river
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5042110/
https://www.ncbi.nlm.nih.gov/pubmed/27708477
http://dx.doi.org/10.1002/2015WR018491
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