Wang, Huanhuan and Furtak-Cole, Eden and Ngan, Keith (2023) Estimating mean wind profiles inside realistic urban canopies. Atmosphere, 14 (1). ISSN 20734433, DOI https://doi.org/10.3390/atmos14010050.
Full text not available from this repository.Abstract
Mean wind profiles within a unit-aspect-ratio street canyon have been estimated by solving the three-dimensional Poisson equation for a set of discrete vortex sheets. The validity of this approach, which assumes inviscid vortex dynamics away from boundaries and a small nonlinear contribution to the growth of turbulent fluctuations, is tested for a series of idealised and realistic flows. In this paper, the effects of urban geometry on accuracy are examined with neutral flow over shallow, deep, asymmetric and realistic canyons, while thermal effects are investigated for a single street canyon and both bottom cooling and heating. The estimated mean profiles of the streamwise and spanwise velocity components show good agreement with reference profiles obtained from the large-eddy simulation: the canyon-averaged errors (e.g., normalised absolute errors around 1%) are of the same order of magnitude as those for the unit-aspect-ratio street canyon. It is argued that the approach generalises to more realistic flows because strong spatial localisation of the vorticity field is preserved. This work may be applied to high-resolution modelling of winds and pollutants, for which mean wind profiles are required, and fast statistical modelling, for which physically-based estimates can serve as initial guesses or substitutes for analytical models.
Item Type: | Article |
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Funders: | Environmental Protection Department of Hong Kong [Grant No: 20-02153], City University of Hong Kong [Grant No: 11304517, 7005585] |
Uncontrolled Keywords: | Computational fluid dynamics (CFD); Stratification; Urban geometry; Vortex dynamics; Wind direction |
Subjects: | T Technology > T Technology (General) T Technology > TJ Mechanical engineering and machinery |
Divisions: | Deputy Vice Chancellor (Research & Innovation) Office > Institute of Ocean and Earth Sciences |
Depositing User: | Ms Zaharah Ramly |
Date Deposited: | 24 Nov 2024 04:23 |
Last Modified: | 24 Nov 2024 04:23 |
URI: | http://eprints.um.edu.my/id/eprint/39127 |
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