Oklahoma City Contaminant Dispersion: Concentration Data Processing and Analysis for a Scaled Puff Release Experiment

Ty Homan
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Abstract

Magnetic resonance techniques were leveraged to obtain velocity and concentration measurements for a puff release contaminant dispersion study. The study involved a scaled model of downtown Oklahoma City as it was in 2003, and sought to provide a high fidelity, three-dimensional data set for comparison with JU2003 and subsequent studies. The scaled model was placed in a water channel with fully turbulent flow (Re = 36,000), and an MRI system was used to take scans at 12 time-specific measurement phases throughout the puff injection cycle. The present work details processing methods applied to the nearly 650 million magnetic resonance concentration (MRC) data points obtained from the study. Processing entailed the calculation of a concentration field through background subtraction and normalization involving several distinct scan types. Uncertainty was reduced through the scaling and combination of high molarity scans. Processing methods are followed by a preliminary investigation of the results, which highlights noteworthy elements of scalar transport within the data set and the need for further investigation of the complex flow field. The study ultimately demonstrates the applicability of magnetic resonance techniques to puff release and dynamic experimental conditions, as well as a method for working with data from phase-locked experiments.
俄克拉荷马城污染物分散:浓度数据处理和分析的规模抽吸释放实验
磁共振技术是利用以获得速度和浓度测量的烟雾释放污染物分散研究。该研究涉及到2003年俄克拉荷马市中心的比例模型,并试图提供高保真度的三维数据集,以便与JU2003和随后的研究进行比较。将缩放模型放置在完全湍流的水道中(Re = 36,000),并使用MRI系统在整个喷射周期中进行12个时间特定测量阶段的扫描。本工作详细介绍了该研究获得的近6.5亿磁共振浓度(MRC)数据点的处理方法。处理过程需要通过背景减法和涉及几种不同扫描类型的归一化来计算浓度场。通过缩放和高摩尔浓度扫描的组合降低了不确定度。处理方法之后是对结果的初步调查,这突出了数据集中值得注意的标量输运元素以及进一步研究复杂流场的必要性。该研究最终证明了磁共振技术对雾化释放和动态实验条件的适用性,以及一种处理锁相实验数据的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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