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Simulation of odour dispersion around natural windbreaks.

机译:模拟自然防风区周围的气味扩散。

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摘要

The research objective was to calibrate a model to simulate odour dispersion downwind from natural windbreaks and then, use this model to observe the effect of windbreak characteristics and climatic conditions on the size of the odour dispersion plume. Computational fluid dynamic (CFD) models were used for the simulations because of their capability in reproducing turbulent wind conditions. The model was initially calibrated to ensure the proper velocity recovery ratio (VRR), and then to reproduce odour plumes measured in the field by three groups of four panellists.;The models selected for the simulations were the Fluent 6.2 standard k-ϵ and SST k-ω models. Their odour dispersion calibration indicated that both models can accurately reproduce the field measured odour hedonic tone and odour concentration by transforming the odour mass fraction computed by the models into the hedonic tone with a power function, and then into the odour concentration with an exponential function. The correlations between the simulated and measured absolute HT and between the simulated and measured odour concentrations were statistically significant (P < 0.01). However, the SST k-ω was preferred over the standard k-ϵ because it could physically better reproduce the high turbulence conditions created by the windbreak.;The SST k-ω model simulations indicated that odour plume length was mostly affected by windbreak porosity and height, as well as distance from the source. In terms of climatic conditions, odour plume size was mostly affected for atmospheric stability conditions which generally established ambient wind speed and rate of change of temperature. Wind direction has an impact on the length of the odour plume and the formation of a fin intensifying odour concentration near the windbreak, where an angle of 45° produces the shortest odour plume and the largest fin.;Key words: Simulation; odour; dispersion; natural Windbreak; CFD.;The visual and statistical analysis of the field panellist observations indicated that a windbreak with an optical porosity of 0.35 could reduce by 21% the length of the odour dispersion plume, as compared to a site without a windbreak. Also, these analyses indicated that the site with a windbreak offering an optical porosity of 0.55 had no significant impact on the length of the odour plume, as compared to the site without a windbreak.
机译:研究目的是要校准一个模型,以模拟自然风中顺风的气味散布,然后,使用该模型观察防风物特性和气候条件对气味散布羽流尺寸的影响。计算流体动力学(CFD)模型用于模拟,因为它们具有重现湍流风况的能力。首先对模型进行校准,以确保适当的速度恢复率(VRR),然后重现由三组四个小组成员在现场测量的气味羽流。用于仿真的模型选择为Fluent 6.2标准k-&epsiv。和SSTk-ω模型。他们的气味扩散校准表明,两个模型都可以通过将模型计算出的气味质量分数转换为具有幂函数的享乐色调,再转换为具有指数函数的气味浓度,从而准确地再现现场测量到的气味享乐主义音调和气味浓度。模拟和测量的绝对HT之间以及模拟和测量的气味浓度之间的相关性具有统计显着性(P <0.01)。但是,SSTk-ω优于标准k-eps。 SSTk-ω模型模拟表明,气味羽流的长度主要受防风林的孔隙度和高度以及与排放源的距离的影响,这是因为它可以更好地再现防风林造成的高湍流条件。就气候条件而言,气味羽流的大小主要受大气稳定性条件的影响,而大气稳定性条件通常确定了环境风速和温度变化率。风向对气味羽流的长度有影响,并且会在防风林附近形成鳍片增强气味的浓度,其中45°的角度会产生最短的气味羽片和最大的鳍片。气味;分散;自然防风; CFD .;现场小组成员观察的视觉和统计分析表明,与没有防风林的地点相比,光学孔隙率为0.35的防风林可将气味散发烟流的长度减少21%。而且,这些分析表明,与不具有防风层的场所相比,具有防风层且光学孔隙率为0.55的场所对气味羽流的长度没有显着影响。

著录项

  • 作者

    Lin, Xing Jun.;

  • 作者单位

    McGill University (Canada).;

  • 授予单位 McGill University (Canada).;
  • 学科 Environmental Sciences.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 258 p.
  • 总页数 258
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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