Editorial Type:
Article
Article Type:
Research Article

Modeling Turbulent Flow in an Urban Central Business District

Donald A. Burrows Advanced Engineering and Sciences, ITT Corporation, Colorado Springs, Colorado

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Eric A. Hendricks Advanced Engineering and Sciences, ITT Corporation, Colorado Springs, Colorado

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Steve R. Diehl Advanced Engineering and Sciences, ITT Corporation, Colorado Springs, Colorado

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Robert Keith Advanced Engineering and Sciences, ITT Corporation, Colorado Springs, Colorado

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Print Publication:
01 Dec 2007
Collections:
Joint Urban 2003 Experiment (JU2003)
DOI:
https://doi.org/10.1175/2006JAMC1282.1
Page(s):
2147–2164
Restricted access

Abstract

The Realistic Urban Spread and Transport of Intrusive Contaminants (RUSTIC) model has been developed as a simplified computational fluid dynamics model with a k–ω turbulence model to be used to provide moderately fast simulations of turbulent airflow in an urban environment. RUSTIC simulations were compared with wind tunnel measurements to refine and “calibrate” the parameters for the k–ω model. RUSTIC simulations were then run and compared with data from five different periods during the Joint Urban 2003 experiment. Predictions from RUSTIC were compared with data from 33 near-surface sonic anemometers as well as 8 sonic anemometers on a 90-m tower and a sodar wind profiler located in the Oklahoma City, Oklahoma, central business district. The data were subdivided into daytime and nighttime datasets and then the daytime data were further subdivided into exposed and sheltered sonic anemometers. While there was little difference between day and night for wind speed and direction comparisons, there was considerable difference for the turbulence kinetic energy (TKE) comparisons. In the nighttime cases, RUSTIC overpredicted the TKE but without any correlation between model and observations. On the other hand, for the daytime cases, RUSTIC underpredicted the TKE values and correlated well with the observations. RUSTIC predicted both winds and TKE much better for the exposed sonic anemometers than for the sheltered ones. For the 90-m tower location downwind of the central business district, RUSTIC predicted the vertical profile of wind speed and direction very closely but underestimated the TKE.

Corresponding author address: Donald A. Burrows, Advanced Engineering and Sciences, ITT Corporation, 5009 Centennial Blvd., Colorado Springs, CO 80907. Email: don.burrows@itt.com

This article included in the Urban 2003 Experiment (JU2003) special collection.

Abstract

The Realistic Urban Spread and Transport of Intrusive Contaminants (RUSTIC) model has been developed as a simplified computational fluid dynamics model with a k–ω turbulence model to be used to provide moderately fast simulations of turbulent airflow in an urban environment. RUSTIC simulations were compared with wind tunnel measurements to refine and “calibrate” the parameters for the k–ω model. RUSTIC simulations were then run and compared with data from five different periods during the Joint Urban 2003 experiment. Predictions from RUSTIC were compared with data from 33 near-surface sonic anemometers as well as 8 sonic anemometers on a 90-m tower and a sodar wind profiler located in the Oklahoma City, Oklahoma, central business district. The data were subdivided into daytime and nighttime datasets and then the daytime data were further subdivided into exposed and sheltered sonic anemometers. While there was little difference between day and night for wind speed and direction comparisons, there was considerable difference for the turbulence kinetic energy (TKE) comparisons. In the nighttime cases, RUSTIC overpredicted the TKE but without any correlation between model and observations. On the other hand, for the daytime cases, RUSTIC underpredicted the TKE values and correlated well with the observations. RUSTIC predicted both winds and TKE much better for the exposed sonic anemometers than for the sheltered ones. For the 90-m tower location downwind of the central business district, RUSTIC predicted the vertical profile of wind speed and direction very closely but underestimated the TKE.

Corresponding author address: Donald A. Burrows, Advanced Engineering and Sciences, ITT Corporation, 5009 Centennial Blvd., Colorado Springs, CO 80907. Email: don.burrows@itt.com

This article included in the Urban 2003 Experiment (JU2003) special collection.

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  • Allwine, K. J., M. J. Leach, L. W. Stockham, J. S. Shinn, R. P. Hosker, J. F. Bowers, and J. C. Pace, 2004: Overview of Joint Urban 2003—An atmospheric dispersion study in Oklahoma City. Preprints, Symp. on Planning, Nowcasting, and Forecasting in the Urban Zone and Eighth Symp. on Integrated Observing and Assimilation Systems for Atmosphere, Oceans, and Land Surface, Seattle, WA, Amer. Meteor. Soc., J7.1.

  • Baik, J-J., J-J. Kim, and H. J. S. Fernando, 2003: A CFD model for simulating urban flow and dispersion. J. Appl. Meteor., 42 , 1636–1648.

    • Search Google Scholar
    • Export Citation

  • Brown, M. J., and Coauthors, 2004: Joint Urban 2003 street canyon experiment. Preprints, Symp. on Planning, Nowcasting, and Forecasting in the Urban Zone, Seattle, WA, Amer. Meteor. Soc., J7.3.

  • Calhoun, R., F. Gouveia, J. Shinn, S. Chan, D. Stevens, R. Lee, and J. Leone, 2004: Flow around a complex building: Comparisons between experiments and a Reynolds-averaged Navier–Stokes approach. J. Appl. Meteor., 43 , 696–710.

    • Search Google Scholar
    • Export Citation

  • Chang, J. C., and S. R. Hanna, 2004: Air quality model performance evaluation. Meteor. Atmos. Phys., 87 , 167–196.

  • Diehl, S. R., D. T. Smith, and M. Sydor, 1982: Random-walk simulation of gradient-transfer processes applied to dispersion of stack emission from coal-fired power plants. J. Appl. Meteor., 21 , 69–83.

    • Search Google Scholar
    • Export Citation

  • Diehl, S. R., D. A. Burrows, E. A. Hendricks, and R. Keith, 2007: Urban dispersion modeling: Comparison with single-building measurements. J. Appl. Meteor. Climatol., 46 , 2180–2191.

    • Search Google Scholar
    • Export Citation

  • Durbin, P. A., 1996: On the k–ϵ stagnation point anomaly. Int. J. Heat Fluid Flow, 17 , 89–90.

  • Grell, G., J. Dudhia, and D. R. Stauffer, 1994: A description of the fifth-generation Penn State/NCAR Mesoscale Model (MM5). NCAR/TN-398+STR, 138 pp.

  • Grimmond, C. S. B., H. B. Su, B. Offerle, B. Crawford, S. Scott, S. Zhong, and C. Clements, 2004: Variability of sensible heat fluxes in a suburban area of Oklahoma City. Preprints, Symp. on Planning, Nowcasting, and Forecasting in the Urban Zone, Seattle, WA, Amer. Meteor. Soc., J7.2.

  • Hanna, S. R., 1989: Confidence limits of air quality model evaluations, as estimated by bootstrap and jackknife resampling methods. Atmos. Environ., 23 , 1385–1398.

    • Search Google Scholar
    • Export Citation

  • Hendricks, E. A., S. R. Diehl, D. A. Burrows, and R. Keith, 2007: Evaluation of a fast-running urban dispersion modeling system using Joint Urban 2003 field data. J. Appl. Meteor. Climatol., 46 , 2165–2179.

    • Search Google Scholar
    • Export Citation

  • Kaplan, H., and N. Dinar, 1996: A Lagrangian dispersion model for calculating concentration distribution within a built-up domain. Atmos. Environ., 30 , 4197–4207.

    • Search Google Scholar
    • Export Citation

  • Liu, C-H., and M. C. Barth, 2002: Large-eddy simulation of flow and scalar transport in a modeled street canyon. J. Appl. Meteor., 41 , 660–673.

    • Search Google Scholar
    • Export Citation

  • Lundquist, J. K., and J. D. Mirocha, 2006: Interaction of nocturnal low-level jets with urban geometries as seen in Joint Urban 2003 data. Preprints, Sixth Symp. on the Urban Environment, Atlanta, GA, Amer. Meteor. Soc., J5.10.

  • Lundquist, J. K., M. Leach, and F. Gouveia, 2004: Turbulence kinetic energy in the Oklahoma City urban environment. Preprints, Fifth Symp. on the Urban Environment, Vancouver, BC, Canada, Amer. Meteor. Soc., 6.11.

  • Martinuzzi, R., and C. Tropea, 1993: The flow around surface-mounted, prismatic obstacles placed in a fully developed channel flow. J. Fluids Eng., 115 , 85–92.

    • Search Google Scholar
    • Export Citation

  • Medic, G., and P. A. Durbin, 2002: Toward improved prediction of heat transfer on turbine blades. J. Turbomachinery, 124 , 187–192.

  • Pardyjak, E. R., and M. J. Brown, 2001: Evaluation of a fast-response urban wind model—Comparison to single-building wind tunnel data. Proc. 2001 Int. Symp. on Environmental Hydraulics, Tempe, AZ, Los Alamos National Laboratory Publ. LA-UR-01-4028. [Available online at http://www.osti.gov/energycitations/product.biblio.jsp?osti_id=784472.].

    • Search Google Scholar
    • Export Citation

  • Pullen, J., J. P. Boris, T. Young, G. Patnaik, and J. Iselin, 2005: A comparison of contaminant plume statistics from a Gaussian puff and urban CFD model for two large cities. Atmos. Environ., 39 , 1049–1068.

    • Search Google Scholar
    • Export Citation

  • Rotach, M. W., B. Fisher, and M. Piringer, 2002: COST 715 Workshop on Urban Boundary Layer Parameterizations. Bull. Amer. Meteor. Soc., 83 , 1501–1504.

    • Search Google Scholar
    • Export Citation

  • Shah, K. B., and J. H. Ferziger, 1997: A fluid mechanicians view of wind engineering: Large eddy simulation of flow past a cubic obstacle. J. Wind Eng. Ind. Aerodyn., 67–68 , 211–224.

    • Search Google Scholar
    • Export Citation

  • Tsai, M. Y., and K. S. Chen, 2004: Measurements and three-dimensional modeling of air pollutant dispersion in an urban street canyon. Atmos. Environ., 38 , 5911–5924.

    • Search Google Scholar
    • Export Citation

  • Wilcox, D. C., 1998: Turbulence Modeling for CFD. DCW Industries, 593 pp.

  • Young, M. E., and A. Ooi, 2004: Turbulence models and boundary conditions for bluff body flow. Proc. 15th Australian Fluid Mechanics Conf., Sydney, NSW, Australia, School of Aerospace, Mechanical, and Mechatronic Engineering, University of Sydney, Paper AFMC00158. [Available online at http://www.aeromech.usyd.edu.au/15afmc/proceedings/papers/AFMC00158.pdf.].

    • Search Google Scholar
    • Export Citation
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