Large-eddy simulation for flow and dispersion in urban streets
Large-eddy simulation for flow and dispersion in urban streets
Large-eddy simulations (LES) with our recently developed inflow approach (Xie &
Castro, 2008a) have been used for flow and dispersion within a genuine city area -
the DAPPLE site, located at the intersection of Marylebone Rd and Gloucester Pl
in Central London. Numerical results up to second-order statistics are reported for
a computational domain of 1.2km (streamwise) x 0.8km (lateral) x 0.2km (in full
scale), with a resolution down to approximately one meter in space and one second
in time. They are in reasonable agreement with the experimental data. Such a comprehensive
urban geometry is often, as here, composed of staggered, aligned, square
arrays of blocks with non-uniform height and non-uniform base, street canyons and
intersections. Both the integrative and local effect of flow and dispersion to these
geometrical patterns were investigated. For example, it was found that the peaks
of spatially averaged urms, vrms, wrms and < u0w0 > occurred neither at the mean
height nor at the maximum height, but at the height of large and tall buildings. It
was also found that the mean and fluctuating concentrations in the near-source field
is highly dependent on the source location and the local geometry pattern, whereas
in the far field (e.g. >0.1km) they are not. In summary, it is demonstrated that
full-scale resolution of around one meter is sufficient to yield accurate prediction of
the flow and mean dispersion characteristics and to provide reasonable estimation
of concentration fluctuations
street scale flow, street scale dispersion, dapple, wind direction, multiple-tracers
2174-2185
Xie, Zheng-Tong
98ced75d-5617-4c2d-b20f-7038c54f4ff0
Castro, Ian P.
66e6330d-d93a-439a-a69b-e061e660de61
April 2009
Xie, Zheng-Tong
98ced75d-5617-4c2d-b20f-7038c54f4ff0
Castro, Ian P.
66e6330d-d93a-439a-a69b-e061e660de61
Xie, Zheng-Tong and Castro, Ian P.
(2009)
Large-eddy simulation for flow and dispersion in urban streets.
Atmospheric Environment, 43 (13), .
(doi:10.1016/j.atmosenv.2009.01.016).
Abstract
Large-eddy simulations (LES) with our recently developed inflow approach (Xie &
Castro, 2008a) have been used for flow and dispersion within a genuine city area -
the DAPPLE site, located at the intersection of Marylebone Rd and Gloucester Pl
in Central London. Numerical results up to second-order statistics are reported for
a computational domain of 1.2km (streamwise) x 0.8km (lateral) x 0.2km (in full
scale), with a resolution down to approximately one meter in space and one second
in time. They are in reasonable agreement with the experimental data. Such a comprehensive
urban geometry is often, as here, composed of staggered, aligned, square
arrays of blocks with non-uniform height and non-uniform base, street canyons and
intersections. Both the integrative and local effect of flow and dispersion to these
geometrical patterns were investigated. For example, it was found that the peaks
of spatially averaged urms, vrms, wrms and < u0w0 > occurred neither at the mean
height nor at the maximum height, but at the height of large and tall buildings. It
was also found that the mean and fluctuating concentrations in the near-source field
is highly dependent on the source location and the local geometry pattern, whereas
in the far field (e.g. >0.1km) they are not. In summary, it is demonstrated that
full-scale resolution of around one meter is sufficient to yield accurate prediction of
the flow and mean dispersion characteristics and to provide reasonable estimation
of concentration fluctuations
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atm_env08.pdf
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More information
Submitted date: 16 October 2008
Published date: April 2009
Keywords:
street scale flow, street scale dispersion, dapple, wind direction, multiple-tracers
Organisations:
Aerodynamics & Flight Mechanics
Identifiers
Local EPrints ID: 65885
URI: http://eprints.soton.ac.uk/id/eprint/65885
ISSN: 1352-2310
PURE UUID: 37d9b37c-2ee9-4b16-80cd-e9a12ab63364
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Date deposited: 19 Nov 2009
Last modified: 14 Mar 2024 02:49
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