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Numerical Simulations of the Microscale Heterogeneities of Turbulence Observed on a Complex Site

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Abstract

We simulate the microscale heterogeneities of turbulent variables observed at a complex site for different wind directions. The atmospheric computational fluid dynamics (CFD) results are compared with an ensemble of 36 months of data collected at the experimental site SIRTA “Site Instrumental de Recherche par Télédétection Atmosphérique”, located near Paris (France) in a semi-urban environment. The experimental data show that the normalized turbulent kinetic energy (TKE) k/U 2 (where k is TKE and U is the wind speed) at 10-m height, for two different locations, is highly dependent on wind direction and strongly influenced by trees. These measurements show a strong increase of the normalized TKE downstream of the forest canopies with a large variability within the 36-month period in part due to the variation of the tree foliage. The numerical simulations are carried out using the CFD code Code_Saturne with the standard k−ε closure, in neutral stratification. The buildings are taken into account explicitly in the mesh and the forested areas are modelled with two approaches: the classical roughness wall law and a drag porosity. A comparison has been performed between the calculated values and the median of measured values of the normalized TKE and the normalized friction velocity, for each wind sector of 10°. A very good agreement is obtained with the drag porosity model, whereas the classical roughness law leads to a strong underestimation downstream of the forested areas. However, this large improvement of the results using the drag porosity model can only be obtained with a refinement of the grid, especially in forested areas, and an accurate land-use map.

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References

  • Alinot C, Masson C (2005) k−ε Model for the atmospheric boundary layer under various thermal stratifications. J Sol Energy Eng Trans ASME 127: 438–443

    Article  Google Scholar 

  • Archambeau F, Méchitoua N, Sakiz M (2004) Code_Saturne: a finite volume code for the computation of turbulent incompressible flows—industrial applications. Int J Finite Vol 1: 1–62

    Google Scholar 

  • Brown MJ, Williams MD (1998) An urban canopy parameterization for mesoscale meteorological models. Proceedings of the AMS Conference on 2nd Urban Environment Symposium, 2–7 November, Albuquerque. New Mexico, Amer Meteor Soc, pp 144–147

  • Daplé B, Masson C (2008) Numerical simulation of wind flow near a forest edge. J Wind Eng Ind Aerodyn 97: 228–241

    Google Scholar 

  • Detering HW, Etling D (1985) Application of the k−ε turbulence model to the atmospheric boundary layer. Boundary-Layer Meteorol 33: 113–133

    Article  Google Scholar 

  • Dupont S, Brunet Y (2008a) Influence of foliar density profile on canopy flow: a large-eddy simulation study. Agric For Meteorol 148: 976–990

    Article  Google Scholar 

  • Dupont S, Brunet Y (2008b) Edge flow and canopy structure: a large-eddy simulation study. Boundary-Layer Meteorol 126: 51–71

    Article  Google Scholar 

  • Dupont S, Brunet Y, Jarosz N (2006) Eulerian modelling of pollen dispersal over heterogeneous vegetation canopies. Agric For Meteorol 141: 82–104

    Article  Google Scholar 

  • Fesquet C, Drobinski P, Barthlott C, Dubos T (2009a) Impact of terrain heterogeneity on near-surface turbulence structure. Atmos Res 94: 254–269

    Article  Google Scholar 

  • Fesquet C, Dupont S, Drobinski P, Dubos T, Barthlott C (2009b) Impact of terrain heterogeneity on coherent structure properties: numerical approach. Boundary-Layer Meteorol 133: 71–92

    Article  Google Scholar 

  • Fitzmaurice L, Shaw RH, Paw U KT, Patton EG (2004) Three-dimensional scalar microfront systems in a large-eddy simulation of vegetation canopy flow. Boundary-Layer Meteorol 112: 107–127

    Article  Google Scholar 

  • Garratt JR (1992) The atmospheric boundary layer. Cambridge University Press, Cambridge, 316 pp

  • Gash JHC (1986) Observations of turbulence downwind of a forest–heath transition. Boundary-Layer Meteorol 36: 227–237

    Article  Google Scholar 

  • Green SR (1992) Modelling turbulent airflow in a stand of widely-speed trees. Phoenics J 5: 294–312

    Google Scholar 

  • Haeffelin M, Barthès L, Bock O, Boitel C, Bony S, Bouniol D, Chepfer H, Chiriaco M, Delanoë J, Drobinski P, Dufresne J, Flamant C, Grall M, Hodzic A, Hourdin F, Lapouge F, Lemaître Y, Mathieu A, Morille Y, Naud C, Noël V, Pelon J, Pietras C, Protat A, Romand B, Scialom G, Vautard R (2005) SIRTA, a ground-based atmospheric observatory for cloud and aerosol research. Ann Geophys 23: 253–3275

    Article  Google Scholar 

  • Irvine MR, Gardiner BA, Fiedler F (1997) The evolution of turbulence across a forest edge. Boundary-Layer Meteorol 84: 467–496

    Article  Google Scholar 

  • Jones WP, Launder BE (1972) The prediction of laminarization with two-equation model of turbulence. Int J Heat Mass Transf 15: 301–314

    Article  Google Scholar 

  • Katul GG, Mahrt L, Poggi D, Sanz C (2004) One- and two-equation models for canopy turbulence. Boundary-Layer Meteorol 113: 81–109

    Article  Google Scholar 

  • Launder BE, Spalding DB (1974) The numerical computation of turbulent flows. Comput Methods Appl Mech Eng 3: 269–289

    Article  Google Scholar 

  • Li Z, Lin JD, Miller DR (1990) Air flow over and through a forest edge: a steady-state numerical simulation. Boundary-Layer Meteorol 51: 179–197

    Article  Google Scholar 

  • Liu J, Chen JM, Black TA, Novak MD (1996) k−ε Modelling of turbulent air flow downwind of a model forest edge. Boundary-Layer Meteorol 77: 21–44

    Article  Google Scholar 

  • Lopes da Costa JC, Castro FA, Palma JMLM, Stuart P (2006) Computer simulation of atmospheric flows over real forests for wind energy resource assessment. J Wind Eng Ind Aerodyn 111: 603–620

    Article  Google Scholar 

  • Maurizi A, Palma JMLM, Castro FA (1998) Numerical simulation of the atmospheric flow in a mountainous region of the north of Portugal. J Wind Eng Ind Aerodyn 74(76): 219–228

    Article  Google Scholar 

  • Milliez M, Carissimo B (2007) Numerical simulations of flow and pollutant dispersion in an idealized urban area, for different meteorological conditions. Boundary-Layer Meteorol 122: 321–342

    Article  Google Scholar 

  • Milliez M, Carissimo B (2008) Computational fluid dynamical modeling of concentration fluctuations in an idealized urban area. Boundary-Layer Meteorol 27: 241–259

    Article  Google Scholar 

  • Mochida A, Tabata Y, Iwata T, Yoshino H (2008) Examining tree canopy models for CFD prediction of wind environment at pedestrian level. J Wind Eng Ind Aerodyn 96: 1667–1677

    Article  Google Scholar 

  • Raynor GS (1971) Wind and temperature structure in a coniferous forest and contiguous field. For Sci 17: 351–363

    Google Scholar 

  • Richards PJ, Hoxey RP (1993) Appropriate boundary conditions for computational wind engineering models using the E−ε turbulence model. J Wind Eng Ind Aerodyn 46(47): 145–153

    Article  Google Scholar 

  • Sanz C (2003) A note on k−ε modelling of vegetation canopy air-flows. Boundary-Layer Meteorol 108: 191–197

    Article  Google Scholar 

  • Shaw RH, Shumann U (1992) Large-eddy simulation of turbulent flow above and within a forest. Boundary-Layer Meteorol 61: 47–64

    Article  Google Scholar 

  • Sogachev A, Panferov O (2006) Modification of two equations models to account for plant drag. Boundary-Layer Meteorol 121: 229–266

    Article  Google Scholar 

  • Stull RB (1988) An introduction to boundary layer meteorology. Kluwer, Dordrecht, 670 pp

  • Svensson U, Häggkvist K(1990)Atwo-equation turbulence model for canopy flows. JWind Eng IndAero dyn 35:201–211

    Article  Google Scholar 

  • Thomas C, Foken T (2007) Organised motion in a tall spruce canopy: temporal scales, structure spacing and terrain effects. Boundary-Layer Meteorol 122: 123–147

    Article  Google Scholar 

  • Wilson NR, Shaw RH (1977) A higher order closure model for canopy flow. J Appl Meteorol 16: 1198–1205

    Article  Google Scholar 

  • Yamada T (1982) A numerical study of turbulent airflow in and above a forest canopy. J Meteorol Soc Jpn 60: 439–454

    Google Scholar 

  • Yang B, Raupach MR, Shaw RH, Paw U KT, Morse AP (2006) Large-eddy simulations of turbulence flow across a forest edge. Part 1: Flow statistics. Boundary-Layer Meteorol 1120: 377–412

    Article  Google Scholar 

  • Zaidi H, Dupont E, Milliez M, Carissimo B, Musson Genon L (2010) Evaluating the ability of two canopy models to reproduce the forested area effects using code-saturne. 13th International Conference on Wind Engineering, July 10–15, 2011, Amsterdam

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Authors and Affiliations

  1. CEREA (Atmospheric Environment Teaching and Research Center, Joint Laboratory École des Ponts ParisTech-EDF R&D, Université Paris Est), EDF-R&D, 6 quai Watier, 78401, Chatou Cedex, France

    Hanane Zaïdi, Eric Dupont, Maya Milliez, Luc Musson-Genon & Bertrand Carissimo

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  1. Hanane Zaïdi
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  2. Eric Dupont
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  3. Maya Milliez
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  4. Luc Musson-Genon
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  5. Bertrand Carissimo
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Correspondence to Eric Dupont.

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Zaïdi, H., Dupont, E., Milliez, M. et al. Numerical Simulations of the Microscale Heterogeneities of Turbulence Observed on a Complex Site. Boundary-Layer Meteorol 147, 237–259 (2013). https://doi.org/10.1007/s10546-012-9783-9

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