Prediction of building surface concentration profiles by empirical for mulas considering the effects of oncoming flow profiles on concentration fields

考虑迎面流动剖面对浓度场的影响，通过经验预测建筑表面浓度剖面

• 批准号: 11650616
• 负责人: OHBA Masaaki
• 金额: $ 2.24万
• 依托单位: TOKYO INSTITUTE OF POLYTECHNICS
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 1999
• 资助国家: 日本
• 起止时间: 1999 至 2000
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-11650616/
• 关键词: Concentration prediction model; Air pollution; Isolated high-rise building; Oncoming flow profiles; Building surface concentration profiles; Wind tunnel; Wind load on buildings; 建物近傍空気汚染; 接近流タイプ; 建物外表面; 空気汚染; べき指数; 流れパターン; 建物近傍汚染

This project developed the calculation methods for estimating building surface concentration profiles when point sources were located near an isolated high-rise building. The proposed methods used a decay index of vertical concentration profiles as substitutes for diffusion widths based upon Gaussian plume concepts. The index was derived from the experimental results that the vertical concentration profiles were inversely proportional to the power of the distance between point sources and sampling ports on the building surfaces. The empirical formulas could predict the vertical profiles of building surface concentrations with a mean prediction error of 35% when point sources were located upstream from the building and 14% for the cavity region. The prediction accuracy became worse when the location of maximum concentrations could not be estimated well.

该项目开发了当点源位于孤立的高层建筑附近时估算建筑物表面浓度分布的计算方法。所提出的方法使用垂直浓度分布的衰减指数作为基于高斯羽流概念的扩散宽度的替代品。该指数是根据垂直浓度分布与建筑物表面点源和采样口之间的距离的幂成反比的实验结果得出的。经验公式可以预测建筑物表面浓度的垂直分布，当点源位于建筑物上游时，平均预测误差为 35%，对于空腔区域，平均预测误差为 14%。当无法很好地估计最大浓度的位置时，预​​测精度会变差。

项目成果

大場正昭: "高層建物のキャビテイ域に汚染ガス発生源がある場合の建物壁面濃度予測に関する実験的研究"第41回大気環境学会講演要旨集. 660 (2000)

大场正明：《高层建筑空腔区域存在污染气体源时预测建筑物墙壁浓度的实验研究》第41届日本大气环境学会年会摘要660（2000）。