Geometric Dependence of the Scalar Transfer Efficiency over Rough Surfaces

Naoki Ikegaya, Aya Hagishima, Jun Tanimoto, Yudai Tanaka, Ken Ichi Narita, Sheikh Ahmad Zaki

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)


We performed a series of wind-tunnel experiments under neutral conditions in order to create a comprehensive database of scalar transfer coefficients for street surfaces using regular block arrays representing an urban environment. The objective is to clarify the geometric dependence of scalar transfer phenomena on rough surfaces. In addition, the datasets we have obtained are necessary to improve the modelling of scalar transfer used for computational simulations of urban environments; further, we can validate the results obtained by numerical simulations. We estimated the scalar transfer coefficients using the salinity method. The various configurations of the block arrays were designed to be similar to those used in a previous experiment to determine the total drag force acting on arrays. Our results are summarized as follows: first, the results for cubical arrays showed that the transfer coefficients for staggered and square layouts varied with the roughness packing density. The results for the staggered layout showed the possibility that the mixing effect of air can be enhanced for the mid-range values of the packing density. Secondly, the transfer coefficients for arrays with blocks of non-uniform heights were smaller than those for arrays with blocks of uniform height under conditions of low packing density; however, as the packing density increased, the opposite tendency was observed. Thirdly, the randomness of rotation angles of the blocks in the array led to increasing values of the transfer coefficients under sparse packing density conditions when compared with those for cubical arrays.

Original languageEnglish
Pages (from-to)357-377
Number of pages21
JournalBoundary-Layer Meteorology
Issue number2
Publication statusPublished - May 2012

All Science Journal Classification (ASJC) codes

  • Atmospheric Science


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