Three-Dimensional Velocity and Concentration Measurements of Contaminant Release in a Scaled Urban Array

Parth Doshi, G. Fuhrman, D. Moser, Michael Benson, B.P. Van Poppel, C. Elkins, A. Banko
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Abstract

Turbulent atmospheric flows present many challenges to modeling the spread of pollution from manufacturing, accidental exhaust contaminants, and airborne chemical or biological attacks. Computational fluid dynamics (CFD) simulations and reduced order atmospheric dispersion models are used to predict transport and concentration of atmospheric contaminants, but these techniques require validation against experimental data sets. The present work applies magnetic resonance (MR) techniques to measure contaminant flows in an urban array to generate robust data sets for model validation. Magnetic resonance velocimetry (MRV) and concentration (MRC) methods were employed to generate time-averaged, three-dimensional, three-component velocity field and concentration data sets at sub-millimeter resolution — a volume of data far greater than can be measured in large-scale field tests. A scaled urban array comprising 13 buildings at an angle of 26.2° relative to the incoming flow was placed in a water channel test section within an MRI system. A dilute aqueous solution of copper sulfate (CuSO4) was used as the working fluid to achieve a Reynolds number of 20,000 based on the test section’s hydraulic diameter. The test section design included a roughness section to ensure turbulent flow within the scan volume; two vertical injectors created plume-plume and plume-building interactions at a blowing ratio of 0.6. This work is the first of its kind to employ dual injection and buildings oriented at angles other than 90° or 45° to the main flow. Contaminant concentrations of 0.0125M, 0.0625M, and 0.3M were used and the data combined to increase the signal-to-noise ratio in regions of low concentration. Results illustrate flow and concentration details near building wake regions, injector plume mixing, the influence of building blockage on velocity gradients and concentration penetration, and contaminant flux throughout the flow region. Measurement uncertainty was estimated to be approximately ±5% for velocity and ±5% for concentration.
城市阵列中污染物释放的三维速度和浓度测量
湍流的大气流动为模拟制造业污染的扩散、意外排放污染物和空气中的化学或生物攻击提出了许多挑战。计算流体动力学(CFD)模拟和降阶大气弥散模型用于预测大气污染物的迁移和浓度,但这些技术需要通过实验数据集进行验证。目前的工作应用磁共振(MR)技术来测量城市阵列中的污染物流动,以生成用于模型验证的稳健数据集。采用磁共振测速(MRV)和浓度(MRC)方法生成亚毫米分辨率的时间平均三维三分量速度场和浓度数据集,其数据量远远大于大规模现场测试所能测量的数据量。一个由13座建筑组成的城市阵列以26.2°的角度相对于流入的水流被放置在MRI系统内的水道测试部分。采用稀硫酸铜水溶液(CuSO4)作为工作流体,根据测试段的水力直径,实现了2万雷诺数。测试截面设计包括一个粗糙度截面,以确保扫描体积内的湍流;两个垂直喷射器以0.6的吹气比创造了羽流与羽流的相互作用。这项工作是同类中第一个采用双重注入和建筑取向的角度,而不是90°或45°的主流。污染物浓度分别为0.0125M、0.0625M和0.3M,并结合数据,提高低浓度区域的信噪比。结果显示了建筑物尾迹区域附近的流动和浓度细节,喷射器羽流混合,建筑物阻塞对速度梯度和浓度渗透的影响,以及整个流动区域的污染物通量。测量不确定度估计约为±5%的速度和±5%的浓度。
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