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Dispersion in a stratified benthic boundary layer
SMHI, Research Department, Oceanography.
SMHI, Research Department, Oceanography.
1989 (English)In: Tellus. Series A, Dynamic meteorology and oceanography, ISSN 0280-6495, E-ISSN 1600-0870, Vol. 41A, no 2Article in journal (Refereed) Published
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Text
Abstract [en]

A dispersion model for the stratified benthic boundary layer is formulated. It is based on "small-scale" vertical dispersion and a "large-scale" horizontal flow field. A modified Langevin equation governs the stochastic vertical migration of an ensemble of marked fluid elements. These elements are spread out by the horizontal flow, determined by a one-dimensional model, which includes a two-equation (k - epsilon) turbulence scheme. The later yields statistical information necessary for the stochastic process. Statistical properties of the dispersion process are then calculated from the evolution of the ensemble of elements. A rather idealized case with a linearly stratified fluid subject to a suddenly imposed barotropic pressure gradient is considered. A quasi-geostrophic interior flow is formed with a benthic boundary layer at the bottom. Marked fluid elements are released at the bottom and then followed for several pendulum days. It is found that the dispersion process is well characterized by K = Cu(*)l/(where u(*) and l are the friction velocity at the bottom and the layer thickness, respectively), and where C approximate to 15. A similar relation but based on external parameters only, becomes: K = C-b vertical bar partial derivative P/partial derivative y vertical bar(2)/rho(2) f(5/2) N-1/2, where C-b approximate to 0.11 in the range N/f = 28- 88

Place, publisher, year, edition, pages
1989. Vol. 41A, no 2
National Category
Oceanography, Hydrology and Water Resources
Research subject
Oceanography
Identifiers
URN: urn:nbn:se:smhi:diva-1732DOI: 10.1111/j.1600-0870.1989.tb00372.xISI: 000208621600005OAI: oai:DiVA.org:smhi-1732DiVA, id: diva2:900023
Available from: 2016-02-03 Created: 2016-02-02 Last updated: 2018-01-10

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