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Analysis of 3-D Urban Databases with Respect to Pollution Dispersion for a Number of European and American Cities
Authors:C Ratti  S Di Sabatino  R Britter  M Brown  F Caton  S Burian
Institution:(1) Department of Architecture, Martin Centre for Architectural and Urban Studies, University of Cambridge, Cambridge, U.K;(2) Department of Engineering, University of Cambridge, Cambridge, U.K.;(3) Cambridge Environmental Research Consultants Ltd, Cambridge, U.K.;(4) Los Alamos National Laboratory, Energy and Environmental Analysis Group TSA-4, Los Alamos, U.S.A;(5) Laboratorie d'Energétique et de Mécanique Théorique et Appliquée CNRS UMR 7563, Vandoeuvre Cedex, France;(6) Department of Civil Engineering, University of Arkansas, 4190 Bell Engineering Center, Fayetteville, AR, U.S.A
Abstract:Dispersion models require as input various geometrical parameters to calculate the flow field and dispersion characteristics in the urban environment. As a result of recent advances in digital photogrammetry and remote sensing, databases of the actual 3-D geometry of city centre areas are now increasingly available. In this work we outline a procedure to reduce this large amount of data to a structured input for urban pollution dispersion models, i.e. to extract the important flow and dispersion parameters from the urban databases. Based on a review of the scientific literature, we have identified a number of parameters relevant to the modelling of pollution dispersion and atmospheric flows in urban areas. These parameters are: the plan and frontal area densities, the plan and frontal area density as a function of height, the distribution of heights, their standard deviation, the aerodynamic roughness length and the sky view factor.These parameters are obtained by analysing urban Digital Elevation Models (DEMs) which are regularly spaced grids of elevation values. Examples of the parameters calculated from high-resolution databases (with pixel size of about 1 m) for three European (London, Toulouse and Berlin) and two North American (Salt Lake City and Los Angeles) cities are presented and discussed. The calculated aerodynamic roughness length was smaller for the European cities than for the North American ones. A multiplicative correction factor kappa to the aerodynamic roughness length is proposed to include the effect of the variability of the building heights.
Keywords:aerodynamic parameters  Digital Elevation Models (DEMs)  image processing  pollution dispersion  urban morphometry  urban roughness
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