首页> 外文会议>Third International Conference on Urban Air Quality - Measurement, Modeling and Management Mar 19-23, 2001 Loutraki, Greece >ANALYSIS OF 3-D URBAN DATABASES WITH RESPECT TO POLLUTION DISPERSION FOR A NUMBER OF EUROPEAN AND AMERICAN CITIES
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ANALYSIS OF 3-D URBAN DATABASES WITH RESPECT TO POLLUTION DISPERSION FOR A NUMBER OF EUROPEAN AND AMERICAN CITIES

机译:多个欧美城市关于污染扩散的3-D城市数据库分析

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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 κ to the aerodynamic roughness length is proposed to include the effect of the variability of the building heights.
机译:色散模型需要输入各种几何参数来计算城市环境中的流场和色散特性。由于数字摄影测量学和遥感技术的最新进展,城市中心地区实际3D几何形状的数据库现在越来越多。在这项工作中,我们概述了将大量数据减少为城市污染扩散模型的结构化输入的过程,即从城市数据库中提取重要的流量和扩散参数。在回顾科学文献的基础上,我们确定了许多与城市地区污染扩散和大气流量建模相关的参数。这些参数是:平面和额叶密度,平面和额叶密度随高度的变化,高度的分布,它们的标准偏差,空气动力学粗糙度长度和天空系数。这些参数是通过分析城市数字高程模型(DEM)获得的,这些模型是高程值的规则间隔网格。介绍并讨论了从高分辨率数据库(像素大小约为1 m)为三个欧洲(伦敦,图卢兹和柏林)和两个北美(盐湖城和洛杉矶)城市计算的参数示例。欧洲城市的空气动力学粗糙度长度计算值比北美城市小。提出了针对空气动力学粗糙度长度的乘积校正因子κ,以包括建筑物高度可变性的影响。

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