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CFD modeling of reactive pollutant dispersion in simplified urban configurations with different chemical mechanisms

机译:不同化学机制简化城市配置的反应性污染物分散的CFD建模

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An accurate understanding of urban air quality requires considering a coupled behavior between the dispersion of reactive pollutants and atmospheric dynamics. Currently, urban air pollution is mostly dominated by traffic emission, where nitrogen oxides (NOx) and volatile organic compounds (VOCs) are the primary emitted pollutants. However, modeling reactive pollutants with a large set of chemical reactions, using a computational fluid dynamic (CFD) model, requires a large amount of computational (CPU) time. In this sense, the selection of the chemical reactions needed in different atmospheric conditions becomes essential in finding the best compromise between CPU time and accuracy. The purpose of this work is to assess the differences in NO and NO2 concentrations by considering three chemical approaches: (a)?passive tracers (non-reactive), (b)?the NOx–O3 photostationary state and (c)?a reduced complex chemical mechanism based on 23?species and 25 reactions. The appraisal of the effects of chemical reactions focuses on studying the NO and NO2 dispersion in comparison with the tracer behavior within the street. In turn, the effect of including VOC reactions is also analyzed taking into account several VOC?∕?NOx ratios of traffic emission. Given that the NO and NO2 dispersion can also be affected by atmospheric conditions, such as wind flow or the background concentration from season-dependent pollutants, in this work the influence of wind speeds and background O3 concentrations are studied. The results show that the presence of ozone in the street plays an important role in NO and NO2 concentrations. Therefore, greater differences linked to the chemical approach used are found with higher O3 concentrations and faster wind speeds. This bears relation to the vertical flux as a function of ambient wind speed since it increases the pollutant exchange between the street and the overlying air. This detailed study allows one to ascertain under which atmospheric conditions the inclusion of chemical reactions are necessary for the study of NO and NO2 dispersion. The conclusions can be applied to future studies in order to establish the chemical reactions needed in terms of an accurate modeling of NO and NO2 dispersion and the CPU time required in a real urban area.
机译:考虑到反应性污染物和大气动力学的分散之间的耦合行为,对城市空气质量的准确理解。目前,城市空气污染主要由交通发出主导,其中氮氧化物(NOx)和挥发性有机化合物(VOC)是初级发出的污染物。然而,使用计算流体动态(CFD)模型,使用大量化学反应进行建模反应性污染物需要大量的计算(CPU)时间。从这个意义上讲,在不同大气条件下所需的化学反应的选择变得必不可少在找到CPU时间和准确性之间的最佳折衷。这项工作的目的是通过考虑三种化学方法来评估NO和NO2浓度的差异:(a)?被动示踪剂(非反应性),(b)?nox-o3光诱导状态和(c)?降低基于23°的复杂化学机制和25个反应。与街道内的示踪行为相比,化学反应效果的评估侧重于研究NO和NO2分散。反过来,还考虑了几个VOC?/?NOx的交通排放比例也分析了包括VOC反应的效果。鉴于NO和NO2色散也可能受到大气条件的影响,例如风流或来自季节依赖污染物的背景浓度,在这项工作中,研究了风速和背景O3浓度的影响。结果表明,街道中臭氧的存在在NO和NO2浓度下起着重要作用。因此,与所使用的化学方法相关的更大差异,具有更高的O3浓度和更快的风速。由于它增加了街道和覆盖空气之间的污染物交换,这与垂直通量有关的关系。该详细研究允许人们确定在哪种大气条件下,对于NO和NO 2分散的研究是必要的。结论可以应用于未来的研究,以便在无需和NO2分散和实际城市地区所需的CPU时间来确定所需的化学反应。

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