首页> 外文会议>Advances in Computational Methods in Sciences and Engineering 2005 vol.4A; Lecture Series on Computer and Computational Sciences; vol.4A >Prediction and Study of Passive Pollutant Dispersion in a Street-Canyon in London Using Computational Fluid Dynamics Techniques
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Prediction and Study of Passive Pollutant Dispersion in a Street-Canyon in London Using Computational Fluid Dynamics Techniques

机译:计算流体动力学技术预测和研究伦敦街道峡谷中被动污染物的扩散

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Pollution levels in an urban street-canyon area are determined numerically as part of the European research project OSCAR using the ADREA-HF code. Aim of the modelling is to investigate the flow-field and CO concentrations in the area and compare with measurements. Results show a tendency of overprediction of concentration by the code attributed mostly to the uncertainty of the meteorological data and emission levels within the studied time frames. The concentration distribution and flow field within the canyon are shown to be highly correlated whereas the in-canyon induced vortex plays a prominent role in the concentration dispersion.
机译:作为欧洲研究项目OSCAR的一部分,使用ADREA-HF代码以数字方式确定了城市街道峡谷地区的污染水平。建模的目的是研究该区域的流场和一氧化碳浓度,并与测量结果进行比较。结果表明,该代码过度预测浓度的趋势主要归因于研究时间范围内气象数据和排放水平的不确定性。峡谷内的浓度分布和流场显示出高度相关性,而峡谷内引起的涡旋在浓度分布中起着重要的作用。

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