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Jun 29, 2021

Numerical Study on the Effect of Bank Vegetation on the Hydrodynamics of the American River under Flood Conditions

Publication: Journal of Hydraulic Engineering
Volume 147, Issue 9

Abstract

Vegetation can have an appreciable impact on the hydrodynamics and scour potential in natural rivers, but this effect is generally unaccounted for in high-fidelity computational fluid dynamic models. In this study, we have incorporated trees into the flow domain using two different approaches to study the hydrodynamics of the American River in Northern California under flood conditions. In the first approach, we resolved numerous trees as discrete objects. The second method incorporated a vegetation model into our in-house numerical model to treat the vegetation as a momentum sink along the banks. The flood flow of both cases was modeled using the large-eddy simulation. The computed hydrodynamics results of the cases were compared with a baseline case, which did not include any trees. Although both the tree-resolving and vegetation model approaches compared well with one another with respect to the flow field, they significantly altered the computed river flow dynamics and bed shear stress near the banks and the midwidth of the river compared with that of the no-tree case. Both methods that accounted for the resistance of the trees obtained lower and higher bed shear stresses and velocities along the banks and the midwidth of the river, respectively, than that of the baseline case. This research identified the important role that vegetation plays in natural rivers and provided researchers and engineers with the conceptual tools needed to incorporate vegetation into numerical models to improve the accuracy of the model results.

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Data Availability Statement

Some or all of the data, models, or code that support the findings of this study are available from the corresponding author on reasonable request. (LES flow field data, digital map of the study area, vegetation model, and VFS-Geophysics code.)

Acknowledgments

This work was supported by a grant from the National Science Foundation (EAR-0120914). The bathymetric survey data were supported by the California Department of Transportation. Computational resources were provided by the Center for Excellence in Wireless and Information Technology (CEWIT) of the College of Engineering and Applied Sciences at Stony Brook University.

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Go to Journal of Hydraulic Engineering
Journal of Hydraulic Engineering
Volume 147Issue 9September 2021

History

Received: Sep 24, 2020
Accepted: Mar 29, 2021
Published online: Jun 29, 2021
Published in print: Sep 1, 2021
Discussion open until: Nov 29, 2021

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Authors

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P.E.
D.WRE
Ph.D. Candidate, Civil Engineering Dept., College of Engineering and Applied Sciences, Stony Brook Univ., Stony Brook, NY 11794. ORCID: https://orcid.org/0000-0002-4476-0082
Christian Santoni, Ph.D. https://orcid.org/0000-0002-7578-2161
Postdoctoral Associate, Civil Engineering Dept., College of Engineering and Applied Sciences, Stony Brook Univ., Stony Brook, NY 11794. ORCID: https://orcid.org/0000-0002-7578-2161
Assistant Professor, Civil Engineering Dept., College of Engineering and Applied Sciences, Stony Brook Univ., Stony Brook, NY 11794 (corresponding author). ORCID: https://orcid.org/0000-0002-9549-3746. Email: [email protected]

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