Wind tunnel dispersion modelling some recent and not so recent achievements

Robins, Alan

doi:10.1016/j.jweia.2003.09.025

Cited by 39 publications

(15 citation statements)

References 24 publications

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“…The latter distribution is however also used to assess relationships between concentration percentiles and fluctuation intensity (see Sect. 3.2) and for i > 2 it does compare better with observations than (5).…”

Section: Scaling and Analysis Of Datamentioning

confidence: 68%

Concentration fluctuations in a downtown urban area. Part II: analysis of Joint Urban 2003 wind-tunnel measurements

Klein

Leitl²,

Schatzmann³

2010

Environ Fluid Mech

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An analysis of concentration time series measured in a boundary-layer wind tunnel at the University of Hamburg is presented. The measurements were conducted with a detailed aerodynamic model of the Oklahoma City (OKC) central business district (CBD) at the scale of 1:300 and were part of the Joint Urban 2003 (JU2003) project. Concentration statistics, as well as concentration probability density (PDF) and exceedance probability (EDF) functions were computed for street-and roof-level sites for three different wind directions. Taking into account the different length scales and wind speeds in the wind-tunnel (WT) and full-scale experiments, dimensionless concentrations and a dimensionless time scale are computed for the comparison with data from the JU2003 full-scale tracer experiments, conducted in OKC in 2003. Using such dimensionless time, the WT time series cover a ∼20 times longer time span than the JU2003 full-scale time series, which are analysed in detail in an accompanying, first part of this paper. The WT time series are thus divided into 20 consecutive blocks of equal length and the statistical significance of parameters based on relatively short records is assessed by studying the variability of the concentration statistics and probability functions for the different blocks. In particular at sites closer to the plume edge, the results for the individual blocks vary significantly and at such sites statistics from short records are not very representative. While the location of three sampling sites in the WT closely matched the sites during the full-scale experiments, the prevailing wind directions during the JU2003 releases were not exactly matched. The comparison between full-scale and WT concentration parameters should thus primarily be interpreted in a qualitative rather than direct quantitative sense. Given the differences in mean wind directions and concerns about the representativeness of full-scale concentration statistics, the WT and full-scale results compared well. The 98 percentile concentrations for almost all full-scale releases analyzed are within the scatter of the percentiles observed in the block analysis of the 123 44 Environ Fluid Mech (2011) 11:43-60 WT time series. Furthermore, the concentration percentiles appear linearly correlated with the fluctuation intensities and the linear relationships determined in the wind tunnel agree well with full-scale results.

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Section: Scaling and Analysis Of Datamentioning

confidence: 68%

Concentration fluctuations in a downtown urban area. Part II: analysis of Joint Urban 2003 wind-tunnel measurements

Klein

Leitl²,

Schatzmann³

2010

Environ Fluid Mech

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“…This hybrid approach, often referred to as the 'C-FD-E approach' (Hangan, 1999;Robins, 2003), combines the advantages of the two techniques, establishing a reciprocal feedback.…”

Section: Cfd Simulationsmentioning

confidence: 99%

Influence of urban morphology on air flow over building arrays

Carpentieri

Robins

2015

Journal of Wind Engineering and Industrial Aerodynamics

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“…This dynamic similarity was widely used by Cermak [3] at special boundary-layer wind tunnel at Colorado State University where stable stratified flow and scale ratios from 1:5000 to 1:50 000 were performed. As reported in [4] at such scales many of the similarity conditions normally applied to the simulation of flow over complex terrain cannot be satisfied. Nevertheless, acceptable agreement between laboratory and field measurements is reported.…”

Section: Theoretical Assessment Of Flow Regimementioning

confidence: 98%

Neutrally stratified flow modelling over complex terrain at meso-scale: open-cut coal mine study

Nosek

Jaňour

Jurčáková

et al. 2013

EPJ Web of Conferences

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Abstract. The objective of this case study was to determine the influence of the coal mine cavity and its vicinity on the main flow field with respect to prevailing wind direction. In order to model the neutrally stratified flow over extremely huge open-cut coal mine Libouš situated at north-west of Czech Republic the laminar flow analogy was applied. The model was scaled down to 1:9000 according to dimensions of windtunnel and selected coal mine surroundings. The measurements of longitudinal and lateral velocity components in selected vertical, resp. horizontal planes were performed by LDA. The measured data will be used for validation of CFD simulation and for selections of area of interest at bigger scales where turbulent flow modelling will be performed. The results revealed that not only of cavity shape and deepness but also the surroundings orography has influence on flow pattern, hence on ventilation, within the area of interest.

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Wind tunnel dispersion modelling some recent and not so recent achievements

Cited by 39 publications

References 24 publications

Concentration fluctuations in a downtown urban area. Part II: analysis of Joint Urban 2003 wind-tunnel measurements

Concentration fluctuations in a downtown urban area. Part II: analysis of Joint Urban 2003 wind-tunnel measurements

Influence of urban morphology on air flow over building arrays

Neutrally stratified flow modelling over complex terrain at meso-scale: open-cut coal mine study

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