Boundary-Layer Meteorology

, Volume 139, Issue 3, pp 457–485 | Cite as

Estimation of Roughness Parameters Within Sparse Urban-Like Obstacle Arrays

  • Byung-Gu Kim
  • Changhoon Lee
  • Seokjun Joo
  • Ki-Cheol Ryu
  • Seogcheol Kim
  • Donghyun You
  • Woo-Sup Shim


We conduct wind-tunnel experiments on three different uniform roughness arrays composed of sparsely distributed rectangular cylinders for the estimation of surface parameters. Roughness parameters such as the roughness length z 0 and zero-plane displacement d are extracted using a best-fit approximation of the measured wind velocity. We also perform a large-eddy simulation (LES) to confirm that four sampling points are sufficient to surrogate a space average above the canopy layer of the sparse roughness arrays. We propose a new morphological model from a systematic analysis of experimental data on the arrays. The friction velocity predicted by the proposed model agrees well with the peak value of the measured Reynolds shear stress \({(-\left<\overline{u'w'}\right>)^{0.5}}\). The proposed model is further validated in an additional wind-tunnel experiment conducted on a scaled configuration of a real urban area exposed to four wind directions. The proposed model is found to perform very well particularly in the estimation of the friction velocity, readily leading to a better estimation of turbulence, which is essential for an accurate prediction of pollutant dispersion.


Morphological method Roughness parameters Surface parameters Urban dispersion 


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Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  • Byung-Gu Kim
    • 1
    • 2
  • Changhoon Lee
    • 1
    • 3
  • Seokjun Joo
    • 4
  • Ki-Cheol Ryu
    • 4
  • Seogcheol Kim
    • 5
  • Donghyun You
    • 1
    • 6
  • Woo-Sup Shim
    • 7
  1. 1.Department of Computational Science and EngineeringYonsei UniversitySeoulKorea
  2. 2.LG ElectronicsSeoulKorea
  3. 3.Department of Mechanical EngineeringYonsei UniversitySeoulKorea
  4. 4.TESolutionAnseong, Kyungi-doKorea
  5. 5.Boolt SimulationSeoulKorea
  6. 6.Department of Mechanical EngineeringCarnegie Mellon UniversityPittsburghUSA
  7. 7.Agency for Defense DevelopmentDaejeonKorea

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