nerc.ac.uk

Modelling the influence of macrophyte patches on river flow

Rameshwaran, P ORCID: https://orcid.org/0000-0002-8972-953X; Naden, P.S.. 2012 Modelling the influence of macrophyte patches on river flow. In: Murillo Muñoz, R.E., (ed.) River flow 2012. Boca Raton, CRC Press, 163-170.

Full text not available from this repository. (Request a copy)

Abstract/Summary

Measurements of turbulent flow in natural gravel-bed rivers with instream macrophytes have shown that spatial variations of flow are highly dependent on the vegetation patchiness and the properties of the vegetation. This three-dimensional modelling study is focused on simulating the hydrodynamic behaviour of turbulent flows in a gravel-bed river with patchy vegetation. The study is carried out on a 140m reach of the River Blackwater, near Farnborough in Hampshire, UK. In this highly eutrophic river, emergent and submerged vegetation grows as distinct patches within the channel. The flow calculations are performed by solving the three-dimensional double-averaged continuity and Navier-Stokes equations with the spatially-averaged k −ε turbulence model. Results show the ability of the model to reproduce the measured streamwise velocity and turbulent kinetic energy. The simulated results are also seen to capture the dominant features of the flow fields such as flow acceleration and increased shear related to channel morphology and to plant patches.

Item Type: Publication - Book Section
Programmes: CEH Topics & Objectives 2009 - 2012 > Water > WA Topic 2 - Ecohydrological Processes > WA - 2.1 - Identify and quantify sources, fluxes and pathways of water, chemicals ...
UKCEH and CEH Sections/Science Areas: Acreman
ISBN: 9780415621298
Additional Information. Not used in RCUK Gateway to Research.: Presented at the 6th International Conference on Fluvial Hydraulics
NORA Subject Terms: Earth Sciences
Ecology and Environment
Hydrology
Date made live: 14 Sep 2012 15:35 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/19514

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...