2011
DOI: 10.1007/s10546-011-9630-4
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Computational Fluid Dynamics Modelling of the Diurnal Variation of Flow in a Street Canyon

Abstract: Urban surface and radiation processes are incorporated into a computational fluid dynamics (CFD) model to investigate the diurnal variation of flow in a street canyon with an aspect ratio of 1. The developed CFD model predicts surface and substrate temperatures of the roof, walls, and road. One-day simulations are performed with various ambient wind speeds of 2, 3, 4, 5, and 6 ms −1 , with the ambient wind perpendicular to the north-south oriented canyon. During the day, the largest maximum surface temperature… Show more

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Cited by 21 publications
(7 citation statements)
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“…In this section, the along-canyon averaged streamline fields [52] were calculated. Figure 8 details the wind-buoyancy-driven flow behavior within the street canyon under different seasonal conditions.…”
Section: Air Flow Patternmentioning
confidence: 99%
“…In this section, the along-canyon averaged streamline fields [52] were calculated. Figure 8 details the wind-buoyancy-driven flow behavior within the street canyon under different seasonal conditions.…”
Section: Air Flow Patternmentioning
confidence: 99%
“…According to the study conducted by Kwak et al (2011), reasonable temperature boundary conditions representing four typical time events (morning, noon, afternoon, and night) are predefined to represent a reasonable temperature diurnal variation (Table 1). All building roofs are assumed to be adiabatic and the thermal stratification of the inflow is set as neutral.…”
Section: Cfd Modelmentioning
confidence: 99%
“…Microscale meteorological models have been widely used in investigating atmospheric flow, dispersion, and thermal comfort conditions in urban environments, compensating for the limitations in the wind tunnel experiments and field measurements (e.g., [9][10][11][12][13][14][15][16][17]). Kim and Baik [9] found that urban morphology is an important factor in determining in-canyon flow and turbulence in an ideal two-dimensional canyon morphology using a computational fluid dynamics (CFD) model.…”
Section: Introductionmentioning
confidence: 99%