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Comparison of Wind-tunnel and Water-channel Simulations of Plume Dispersion through a Large Array of Obstacles with a Scaled Field Experiment

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Abstract

We report on measurements of the near-field dispersion of contaminant plumes in a large array of building-like obstacles at three scales; namely, at full-scale in a field experiment, at 1:50 scale in a wind-tunnel simulation, and at 1:205 scale in a water-channel simulation. Plume concentration statistics extracted from the physical modelling in the wind-tunnel and water-channel simulations are compared to those obtained from a field experiment. The modification of the detailed structure of the plume as it interacts with the obstacles is investigated. To this purpose, measurements of the evolution of the mean concentration, concentration fluctuation intensity, concentration probability density function, and integral time scale of concentration fluctuations in the array plume obtained from the field experiment and the scaled wind-tunnel and water-channel experiments are reported and compared, as well as measurements of upwind and within-array velocity spectra. Generally, the wind-tunnel and water-channel results on the modification of the detailed plume structure by the obstacles were qualitatively similar to those observed in the field experiments. However, with the appropriate scaling, the water-channel simulations were able to reproduce quantitatively the results of the full-scale field experiments better than the wind-tunnel simulations.

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References

  • Baechlin W, Theurer W, Plate EJ (1991) Wind field and dispersion in a built-up area—a comparison between field experiments and wind tunnel data. Atmos Environ 25A:1135–1142

    Google Scholar 

  • Baechlin W, Theurer W, Plate EJ (1992) Dispersion of gases released near the ground in built-up areas: experimental results compared to simple numerical modelling. J Wind Eng Ind Aerodyn 41–44:2721–2732

    Google Scholar 

  • Biltoft CA (2001) Customer report for mock urban setting test. DPG Document No. WDTC-FR-01-121, West Desert Test Center, U.S. Army Dugway Proving Ground, Dugway, Utah, 58 pp

    Google Scholar 

  • Biltoft CA, Yee E, Jones CD (2002) Overview of the mock urban setting test (MUST)’ in Joint Sessions of 25th Conference on Agricultural and Forest Meteorology, 12th Joint Conference on the Applications of Air Pollution Meteorology with the Air and Waste Management Association, and Fourth Symposium on the Urban Environment, Norfolk, VA., May 20–24, pp J1–J2

  • Castro IP, Robins AG (1977) The flow around a surface-mounted cube in uniform and turbulent streams. J Fluid Mech 79:307–335

    Article  Google Scholar 

  • Counihan J (1975) Adiabatic atmospheric boundary-layers: a review and analysis of data from the period 1880–1972. Atmos Environ 9:871–905

    Article  Google Scholar 

  • Davidson MJ, Mylne KR, Jones CD, Phillips JC, Perkins RJ, Fung JCH, Hunt JCR (1995) Plume dispersion through large groups of obstacles—a field investigation. Atmos Environ 29:3245–3256

    Article  Google Scholar 

  • Davidson MJ, Snyder WH, Lawson RE Jr, Hunt JCR (1996) Wind tunnel simulations of plume dispersion through groups of obstacles. Atmos Environ 30:3715–3731

    Article  Google Scholar 

  • Deaves DM, Harris RI (1978) A mathematical model of the structure of strong winds, Construction Industry Research and Information Association (U.K.), Report 76, 49 pp.

  • Gailis R (2004) Wind tunnel simulations of the mock urban setting test—details on experimental procedures and data analysis. DSTO–TR–1532, DSTO Platform Sciences Laboratory, Fishermans Bend, Victoria, Australia, 47 pp

    Google Scholar 

  • Gailis RM, Hill A (2006) A wind tunnel simulation of plume dispersion within a large array of obstacles. Boundary-Layer Meterol. DOI: 10.1007/s10546-005-9029-1.

  • Hall DJ, Macdonald R, Walker S, Spanton AM (1996) Measurements of dispersion within simulated urban arrays—a small scale wind tunnel study, BRE Client Report CR 77/96, Building Research Establishment, p. 112

  • Hanna SR, Briggs GA, Hosker RP (1982). Handbook on atmospheric diffusion. DOE/TIC-11223, Technical Information, U.S. Department of Energy, 102 pp.

  • Harris RI (1990) Some further thoughts on the spectrum of gustiness in strong winds. J Wind Eng Ind Aero dyn 33:461–477

    Article  Google Scholar 

  • Hosker RP (1984). Flow and diffusion near obstacles. In: Randerson D.(eds). Atmospheric science and power production. Technical Information Center, U.S. Department of Energy, Washington, D.C., pp. 241–326

    Google Scholar 

  • Hosker RP (1985) Flow around isolated structures and building clusters: a review. ASHRAE Transactions 21(2B):1671–1692

    Google Scholar 

  • Hilderman T, Chong R (2004) A laboratory study of momentum and passive scalar transport and diffusion within and above a model urban canopy – final report, Report Number CRDC00327, Coanda Research & Development Corporation, 70 pp.

  • International Organisation for Standardisation (1995) Guide to the expression of uncertainty in measurement. Geneva, Switzerland, 110 pp.

  • Lumley JL, Van Cruyningen I (1985). Limitations of second-order modelling of passive scalar diffusion. In: Davies SH, Lumley JL, (eds). Frontiers in fluid mechanics. Springer-Verlag, Berlin, pp. 199–218

    Google Scholar 

  • Macdonald RW, Griffiths RF, Cheah SC (1997) Field experiments of dispersion through regular arrays of cubic structures. Atmos Environ 31:783–795

    Article  Google Scholar 

  • Macdonald RW, Griffiths RF, Hall DJ (1998a) A comparison of results from scaled field and wind tunnel modelling of dispersion in arrays of obstacles. Atmos Environ 32:3845–3862

    Article  Google Scholar 

  • Macdonald RW, Griffiths RF, Hall DJ (1998b) An improved method for estimation of surface roughness of obstacle arrays. Atmos Environ 32:1857–1864

    Article  Google Scholar 

  • Meroney RN (1982). Turbulent diffusion near buildings. In: Plate EJ (eds). Engineering meteorology. Elsevier, Amsterdam, pp. 481–525

    Google Scholar 

  • Mylne KR (1993) The vertical profile of concentration fluctuations in near-surface plumes. Boundary-Layer Meteorol 65:111–136

    Article  Google Scholar 

  • Mylne KR, Mason PJ (1991) Concentration fluctuation measurements in a dispersing plume at a range of up to 1000 m’. Quart J Roy Meteorol Soc 117:177–206

    Article  Google Scholar 

  • Panofsky HA, Dutton JA (1984) Atmospheric turbulence, models and methods for engineering applications. John Wiley & Sons, New York, 418 pp

    Google Scholar 

  • Pasquill FA, Smith FB (1983) Atmospheric diffusion, 3rd edn. Wiley, New York, 437 pp

    Google Scholar 

  • Robins AG (1978) Plume dispersion from ground level sources in simulated atmospheric boundary layers. Atmos Environ 12:1033–1044

    Article  Google Scholar 

  • Standards Association of Australia (1989) Minimum design load on structures (Known as the SAA Loading Code)—wind loads, AS 1170.2-1989, North Sydney, Australia, 96 pp.

  • Stern AC, Boubel RW, Turner DB, Fox DL (1984) Fundamentals of air pollution. 2nd edn. Academic Press Inc., San Diego, California, 530 pp

    Google Scholar 

  • Stull RB (1988) Introduction to boundary-layer meteorology. Kluwer Academic Publishers, Dordrecht The Netherlands, 666 pp

    Google Scholar 

  • Snyder W (1981) Guidelines for fluid modelling of atmospheric dispersion, Report Number EPA–600/8–81–009, Environmental Protection Agency, Research Triangle Park, North Carolina, 200 pp

    Google Scholar 

  • Theurer W (1999) Typical building arrangements for urban air pollution modelling. Atmos Environ 33:4057–4066

    Article  Google Scholar 

  • Theurer W, Plate EJ, Hoeschele K (1996) Semi-empirical models as a combination of wind tunnel and numerical dispersion modelling. Atmos Environ 30:3583–3597

    Article  Google Scholar 

  • von Karman T (1948) Progress in statistical theory of turbulence. Proc Natl Acad Sci (USA) 34:530–539

    Article  Google Scholar 

  • Warhaft Z (1984) The interference of thermal fields from line sources in grid turbulence. J Fluid Mech 144:363–387

    Article  Google Scholar 

  • Yee E, Biltoft CA (2002a) Preliminary results of the MUST diffusion experiment. In: Fourth symposium on the urban environment, Norfolk, VA, May 20–24, pp 143–144

  • Yee E, Biltoft CA (2002b) On the structure of plumes dispersing through a large array of obstacles. in Sixth Annual George Mason University Transport and Dispersion Modelling Workshop, Fairfax, VA

  • Yee E, Biltoft CA (2004) Concentration fluctuation measurements in a plume dispersing through a regular array of obstacles. Boundary-Layer Meteorol 111:363–415

    Article  Google Scholar 

  • Yee E, Chan R, Kosteniuk PR, Chandler GM, Biltoft CA, Bowers JF (1994) Experimental measurements of concentration fluctuations and scales in a dispersing plume in the atmospheric surface layer obtained using a very fast response concentration detector. J Appl Meteorol 33:996–1016

    Article  Google Scholar 

  • Yee E, Chan R, Kosteniuk PR, Chandler GM, Biltoft CA, Bowers JF (1995) The vertical structure of concentration fluctuation statistics in plumes dispersing in the atmospheric surface layer. Boundary-Layer Meteorol 76:41–67

    Article  Google Scholar 

  • Yee E, Kosteniuk PR, Chandler GM, Biltoft CA, Bowers JF (1993) Statistical characteristics of concentration fluctuations in dispersing plumes in the atmospheric surface layer. Boundary-Layer Meteorol 65:69–109

    Article  Google Scholar 

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Authors and Affiliations

  1. Defence R&D Canada – Suffield, P.O. Box 4000, Medicine Hat, Alberta, T1A 8K6, Canada

    Eugene Yee

  2. Defence Science and Technology Organisation, Platform Sciences Laboratory, 506 Lorimer St, Fishermans Bend, VIC, 3207, Australia

    Ralph M. Gailis & Alexander Hill

  3. Coanda Research & Development Corporation, 110A-3430 Brighton Ave., Burnaby, British Columbia, Canada, V5A 3H4

    Trevor Hilderman & Darwin Kiel

Authors
  1. Eugene Yee
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  2. Ralph M. Gailis
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  3. Alexander Hill
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  4. Trevor Hilderman
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  5. Darwin Kiel
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Correspondence to Eugene Yee.

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Yee, E., Gailis, R.M., Hill, A. et al. Comparison of Wind-tunnel and Water-channel Simulations of Plume Dispersion through a Large Array of Obstacles with a Scaled Field Experiment. Boundary-Layer Meteorol 121, 389–432 (2006). https://doi.org/10.1007/s10546-006-9084-2

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  • DOI: https://doi.org/10.1007/s10546-006-9084-2

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