Drag distribution in idealized heterogeneous urban environments
File(s)Sützl2020_Article_DragDistributionInIdealizedHet.pdf (3.12 MB)
Published version
OA Location
Author(s)
Sützl, Birgit S
Rooney, Gabriel G
van Reeuwijk, Maarten
Type
Journal Article
Abstract
Large-eddy simulations of nine idealized heterogeneous urban morphologies with identical building density and frontal area index are used to explore the impact of heterogeneity on urban airflow. The fractal-like urban morphologies were generated with a new open-source Urban Landscape Generator tool (doi:10.5281/zenodo.3747475). The vertical structure of mean flow and the dispersive vertical momentum transport within the roughness sublayer are shown to be strongly influenced by the building morphologies. The friction velocity and displacement height show high correlations with the maximum building height rather than the average height. Well-known roughness parametrizations of the logarithmic layer cannot adequately capture the large spread observed in the large-eddy simulation data. A generalized frontal area index Λf is introduced that characterizes the vertical distribution of the frontal area in the urban canopy. The vertically distributed stress profiles, which differ significantly per simulation, are shown to roughly collapse upon plotting them against Λf. The stress distribution representing urban drag can be fitted with a third degree polynomial. The results can be used for more detailed and robust representations of building effects in the development of urban canopy models.
Date Issued
2021-02-01
Date Acceptance
2020-08-27
Citation
Boundary-Layer Meteorology, 2021, 178, pp.225-248
ISSN
0006-8314
Publisher
Springer Science and Business Media LLC
Start Page
225
End Page
248
Journal / Book Title
Boundary-Layer Meteorology
Volume
178
Copyright Statement
© The Author(s) 2020. This article is licensed under a Creative Commons Attribution 4.0 International License, which
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence,
and indicate if changes were made. The images or other third party material in this article are included in the
article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is
not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give
appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence,
and indicate if changes were made. The images or other third party material in this article are included in the
article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is
not included in the article’s Creative Commons licence and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
License URL
Identifier
https://link.springer.com/article/10.1007%2Fs10546-020-00567-0
Subjects
Science & Technology
Physical Sciences
Meteorology & Atmospheric Sciences
Drag parametrization
Heterogeneity
Large-eddy simulation
Urban canopy
LARGE-EDDY SIMULATION
AERODYNAMIC PARAMETERS
BUILDING ARRAYS
MEAN FLOW
TURBULENCE
WIND
ROUGHNESS
TRANSPORT
MODEL
Meteorology & Atmospheric Sciences
0401 Atmospheric Sciences
Publication Status
Published
Date Publish Online
2020-10-01