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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Hydrodynamics of vegetated channels

Open access
Nepf, Heidi M.·2012·Journal of Hydraulic Research

Abstract

This paper highlights some recent trends in vegetation hydrodynamics, focusing on conditions within channels and spanning spatial scales from individual blades, to canopies or vegetation patches, to the channel reach. At the blade scale, the boundary layer formed on the plant surface plays a role in controlling nutrient uptake. Flow resistance and light availability are also influenced by the reconfiguration of flexible blades. At the canopy scale, there are two flow regimes. For sparse canopies, the flow resembles a rough boundary layer. For dense canopies, the flow resembles a mixing layer. At the reach scale, flow resistance is more closely connected to the patch-scale vegetation distribution, described by the blockage factor, than to the geometry of individual plants. The impact of vegetation distribution on sediment movement is discussed, with attention being paid to methods for estimating bed stress within regions of vegetation. The key research challenges of the hydrodynamics of vegetated channels are highlighted.

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Crossref · 10.1080/00221686.2012.696559

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Metadata

Authors
Nepf, H. M.
Venue
Journal of Hydraulic Research
Published
2012-06
Volume
50
Issue
3
Pages
262-279
ISSN
  • 0022-1686 (ISSN-L)
  • 1814-2079
OpenAlex
W1971106592
Cited by
641
References
4
FWCI
18.64
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Hydrodynamics of vegetated channels. https://app.cochat.ai/papers/10.1080/00221686.2012.696559
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Nepf, H. M. (2012). Hydrodynamics of vegetated channels. Journal of Hydraulic Research. https://doi.org/10.1080/00221686.2012.696559

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.