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REVIEWING POLLUTANT DISPERSION AROUND BUILDINGS

机译:在建筑物周围审查污染物分散

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摘要

The purpose of this review is to systematically review On-site measurements, physical scale modeling (wind tunnel and water channel experiments) and different computational fluid dynamics turbulence models (DNS, RANS and LES). On-site measurement is a somewhat dear approach. Regarding to its accuracy, it still could under-predict the roof concentration. Physical scale modeling can be more controllable for airflow and building configurations, but the accuracies of them are still arguable. The accuracies of each turbulence model are different. DNS can provide the most accurate results in finite volume calculations; but it is impractical for simulations due to large computational requirements. LES can over-predict the lateral pollutant concentration in the wake region of the building and requires somewhat larger computational demand and times. Although RANS is the most commonly used model for pollutant dispersion and infection control issues, it over-predicts surface concentrations downwind of the sources.
机译:本综述的目的是系统地审查现场测量,物理刻度建模(风洞和水通道实验)和不同的计算流体动力学湍流模型(DNS,RAN和LES)。现场测量有点亲爱的方法。关于其准确性,它仍然可以预测屋顶浓度。对于气流和建筑配置,物理规模建模可以更可控,但它们的准确性仍然可以说。每个湍流模型的准确性是不同的。 DNS可以提供​​有限卷计算的最准确的结果;但由于较大的计算要求,模拟是不切实际的。 LES可以过度预测建筑物的唤醒区域中的横向污染物浓度,并且需要稍大的计算需求和时间。虽然Rans是污染物分散和感染控制问题最常用的模型,但它过度预测了源的表面浓度。

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