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Are Urban-Canopy Velocity Profiles Exponential?

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  • 1Aerodynamics and Flight Mechanics, Faculty of Engineering and the Environment, University of Southampton, Highfield, Southampton, SO17 1BJ UK.

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Urban canopy models often assume an exponential velocity profile, but this study finds it invalid for urban-type canopies. This research examines drag forces and stresses in urban flows, revealing key differences from vegetative canopies.

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Area of Science:

  • Fluid dynamics
  • Urban meteorology
  • Computational fluid dynamics

Background:

  • Understanding airflow within urban canopies is crucial for predicting pollutant dispersion and wind loads.
  • Existing models often rely on assumptions derived from vegetative canopies, which may not apply to complex urban geometries.

Purpose of the Study:

  • To analyze sectional drag forces, Reynolds stresses, and dispersive shear stresses in urban-type canopies.
  • To evaluate the validity of common assumptions used in analytical models for canopy velocity profiles.
  • To investigate the implications for predicting roughness length and canopy flow behavior.

Main Methods:

  • Analysis of data from direct numerical simulations (DNS) and large-eddy simulations (LES).
  • Examination of spatially-averaged mean velocity profiles within canopies of varying roughness densities.
  • Deduction of canopy mixing length and sectional drag coefficient from flow data.

Main Results:

  • Common assumptions about drag forces and stresses within urban canopies are generally invalid.
  • The spatially-averaged mean velocity profile within urban canopies typically does not follow an exponential shape.
  • Dispersive shear stresses play a significant role in urban canopy flow dynamics.

Conclusions:

  • The exponential profile assumption is inappropriate for urban-type canopies, unlike vegetative canopies.
  • Despite the invalidity of the internal profile assumption, current models for predicting above-canopy roughness length remain effective.
  • Further research is needed to develop more accurate models for flow dynamics within urban canopies.