On the influence of the urban roughness sublayer on turbulence and dispersion
Introduction
On a mesoscale perspective an urban settlement can be considered a rough, warm `spot’ within the surrounding rural surfaces. Consequently, an internal boundary layer develops at the rural–urban interface (e.g., Oke, 1988) that is both mechanical and thermal in origin. In this contribution we restrict the discussion to areas within the urban environment that are far enough from this transitional region so that the urban boundary layer (UBL) has replaced the former rural boundary layer. The lowest atmospheric layer of this UBL must be considered as a roughness sublayer (RS). This layer, that constitutes the rough-wall counterpart of the viscous sublayer over `smooth walls’ (Raupach et al., 1991) has, unlike the latter, a vertical extension of several tens of meters over typical urban settings and is therefore of importance when modelling flow or dispersion processes in urban environments.
Most of the present knowledge on roughness sublayers over rough surfaces stems from vegetated or artificial surfaces (see Raupach et al., 1991 for an excellent review). In contrast, relatively little is known about the flow and turbulence structure over real urban or suburban surfaces. Important differences between the two types of surfaces are the characteristic density of roughness elements and also their stiffness (or flexibility to react upon drag forces).
The RS can be regarded as the layer adjacent to the surface, wherein the flow and turbulence is influenced by individual roughness elements. Consequently, it has a fully three-dimensional structure. However, for many practical applications it is convenient to consider spatial averages of the variables of interest in order to retain the simplistic one-dimensional (vertical) description of flow and turbulence characteristics. Also, a detailed description of the effect of individual buildings can be avoided. On the other hand it is clear that from full scale observational programs it is almost impossible to truly determine spatially averaged properties. Here, the argumentation of Rotach (1993a) is followed by noting that an observation at a particular point in space represents a variety of upwind and downwind geometries due to changing wind direction. Thus spatial averages can be approximated by averaging over all wind directions of approaching flow.
Due to the lack of a comprehensive physically based theory for the (spatially) average vertical structure of the RS, observational data is often compared to the predictions of Monin–Obukhov similarity theory, which is, strictly speaking, only valid for the inertial sublayer (note that over smoother surfaces, where the RS has a negligible vertical extension, this layer is often called surface layer). For the upper part of the RS (i.e. for z>h, where z is the physical height and h denotes the average height of the canopy) this approach has become quite standard for flow over vegetated surfaces (e.g. Kaimal and Finnigan, 1994) and was also followed in the few studies of full scale urban surfaces (see Section 3). However, it will be pointed out in Section 3 that due to the non-constancy of turbulent fluxes within the RS, a particular form of local scaling is much more appropriate to describe the turbulence variables. Within the canopy (i.e., in the lower part of the RS) it is often convenient to construct (properly scaled) average vertical profiles for the variables of interest.
In this contribution the concept of a roughness sublayer is described in Section 2, where also its vertical extension for typical urban settings is discussed. In Section 3, the vertical turbulence and flow structure in the urban RS is investigated, making use of the results from an extensive field study within the Zurich Urban Climate Program. Wherever possible, the results from this program are compared to those from other (including artificial) rough surfaces. Finally, in Section 4, the effect of including the turbulence structure of the roughness sublayer upon dispersion of passive scalars is demonstrated.
Section snippets
The vertical extension of the Roughness Sublayer
From its definition, the roughness sublayer extends from the surface (z=0) up to a height , at which the influence of individual roughness elements on the flow is `mixed up’ by turbulence (Raupach et al., 1991), and the flow can be considered horizontally homogeneous if the density, height and distribution of roughness elements do not vary over the upwind area of influence. The remaining part of the surface layer is usually termed inertial sublayer (IS). Note that the present definition of
Reynolds stress
One of the major results from the Zürich Urban climate program was the fact that Reynolds stress was found to increase with height from very small values at z=d (d being the zero plane displacement) in the lower part of the RS towards a virtually constant value as projected for the inertial sublayer aloft (Rotach, 1993a). This increase in Reynolds stress (i.e. ) was found for all available simultaneous measurements at two different heights above roof level, and emerged also from a
Dispersion of pollutants within the roughness sublayer
The mean flow and turbulence structure within the urban RS as summarized above has some important consequences on the characteristics of dispersion for passive scalars. Rotach (1997) has compared two cases for which identical input information is assumed to be given (`measurements’ from the inertial sublayer): in a so-called `urban' (or `rough wall') simulation the turbulence structure of the roughness sublayer is explicitly taken into account and the lowest part of the model domain is
Summary and conclusions
In this contribution the (still sparse) knowledge on the turbulence structure within the urban roughness sublayer from full scale observations is reviewed. The average turbulence structure of the urban roughness sublayer can best be characterized through the non-uniformity of turbulent fluxes with height. Accordingly, traditional surface layer scaling cannot be appropriate in this region. It is argued that a specific form of local scaling, namely a formulation that employs the known
Acknowledgements
The present work was partly financed by the Swiss Federal Department of Education and Sciences (BBW) and the Swiss Federal Department of Environment, Forest and Landscape (BUWAL) through a project in the framework of COST 615 (citair).
References (32)
- et al.
Turbulence structure in a deciduous forest
Boundary-Layer Meteorology
(1988) - Boubel, R.W., Fox, D.L., Turner, D.B., Stern, A.C., 1994. Fundamentals of Air Pollution, Third ed., Academic Press, New...
- et al.
Observational comparison of rural and urban boundary layer turbulence
Journal of Applied Meteorology
(1970) The measurement of turbulence in a city environment
Journal of Applied Meteorology
(1972)- Clarke, C.F., Ching, J.K.S., Godowich, J.M., 1982. A study of turbulence in an urban environment EPA Technical Report,...
- et al.
Vertical structure of selected turbulence characteristics above an urban canopy
Theoritical and Applied Climatology
(1999) Flux profile relations above tall vegetation
Quarterly Journal of Royal Meteorological Society
(1978)Surface influence upon vertical profiles in the atmospheric near surface layer
Quarterly Journal of Royal Meteorological Society
(1980)- et al.
Atmospheric dispersion from elevated sources in an urban areasComparison between tracer experiments and model calculations
Journal of Climatology and Applied Meteorology
(1984) - Hanna, S.R., 1982. Applications in modelling, In: Nieuwstadt, F.T.M., van Dop, H. (Eds.), Atmospheric Turbulence and...
Turbulence characteristics in a near-neutrally stratified urban atmosphere
Boundary-Layer Meteorology
Turbulence characteristics and organized motion in a suburban roughness sublayer
Boundary-Layer Meteorology
The urban energy balance
Progress in Physics and Geography
Evaluation of spatially-averaged fluxes of heat, mass and momentum in the urban boundary layer
Weather and Climate
The model validation exercise at moloverview of results
International Journal Environmental Pollution
Cited by (139)
Vertical measurements of roadside air pollutants using a drone
2022, Atmospheric Pollution ResearchAtmospheric dispersion of chemical, biological, and radiological hazardous pollutants: Informing risk assessment for public safety
2022, Journal of Safety Science and ResilienceA review of multi-scale modelling, assessment, and improvement methods of the urban thermal and wind environment
2022, Building and EnvironmentCitation Excerpt :Compared with the three parameters above, the RL, FAI, and FAD are more influential for the urban wind environment because they reflect the wind resistance of a building cluster in different wind directions. The RL is tightly connected to the turbulence in the roughness sublayer and affects wind velocity over surfaces [174,175]. A negative correlation between RL and wind speed was also reported [33].
The effects of thermal stratification on airborne transport within the urban roughness sublayer
2022, International Journal of Heat and Mass TransferPhysics-based stitching of multi-FOV PIV measurements for urban wind fields
2021, Building and EnvironmentUrban meteorological forcing data for building energy simulations
2021, Building and Environment