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Are Urban-Canopy Velocity Profiles Exponential?

Using analyses of data from extant direct numerical simulations and large-eddy simulations of boundary-layer and channel flows over and within urban-type canopies, sectional drag forces, Reynolds and dispersive shear stresses are examined for a range of roughness densities. Using the spatially-avera...

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Autor principal: Castro, Ian P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979513/
https://www.ncbi.nlm.nih.gov/pubmed/32025041
http://dx.doi.org/10.1007/s10546-017-0258-x
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author Castro, Ian P.
author_facet Castro, Ian P.
author_sort Castro, Ian P.
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description Using analyses of data from extant direct numerical simulations and large-eddy simulations of boundary-layer and channel flows over and within urban-type canopies, sectional drag forces, Reynolds and dispersive shear stresses are examined for a range of roughness densities. Using the spatially-averaged mean velocity profiles these quantities allow deduction of the canopy mixing length and sectional drag coefficient. It is shown that the common assumptions about the behaviour of these quantities, needed to produce an analytical model for the canopy velocity profile, are usually invalid, in contrast to what is found in typical vegetative (e.g. forest) canopies. The consequence is that an exponential shape of the spatially-averaged mean velocity profile within the canopy cannot normally be expected, as indeed the data demonstrate. Nonetheless, recent canopy models that allow prediction of the roughness length appropriate for the inertial layer’s logarithmic profile above the canopy do not seem to depend crucially on their (invalid) assumption of an exponential profile within the canopy.
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spelling pubmed-69795132020-02-03 Are Urban-Canopy Velocity Profiles Exponential? Castro, Ian P. Boundary Layer Meteorol Research Article Using analyses of data from extant direct numerical simulations and large-eddy simulations of boundary-layer and channel flows over and within urban-type canopies, sectional drag forces, Reynolds and dispersive shear stresses are examined for a range of roughness densities. Using the spatially-averaged mean velocity profiles these quantities allow deduction of the canopy mixing length and sectional drag coefficient. It is shown that the common assumptions about the behaviour of these quantities, needed to produce an analytical model for the canopy velocity profile, are usually invalid, in contrast to what is found in typical vegetative (e.g. forest) canopies. The consequence is that an exponential shape of the spatially-averaged mean velocity profile within the canopy cannot normally be expected, as indeed the data demonstrate. Nonetheless, recent canopy models that allow prediction of the roughness length appropriate for the inertial layer’s logarithmic profile above the canopy do not seem to depend crucially on their (invalid) assumption of an exponential profile within the canopy. Springer Netherlands 2017-06-08 2017 /pmc/articles/PMC6979513/ /pubmed/32025041 http://dx.doi.org/10.1007/s10546-017-0258-x Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research Article
Castro, Ian P.
Are Urban-Canopy Velocity Profiles Exponential?
title Are Urban-Canopy Velocity Profiles Exponential?
title_full Are Urban-Canopy Velocity Profiles Exponential?
title_fullStr Are Urban-Canopy Velocity Profiles Exponential?
title_full_unstemmed Are Urban-Canopy Velocity Profiles Exponential?
title_short Are Urban-Canopy Velocity Profiles Exponential?
title_sort are urban-canopy velocity profiles exponential?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6979513/
https://www.ncbi.nlm.nih.gov/pubmed/32025041
http://dx.doi.org/10.1007/s10546-017-0258-x
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