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

机译:具有不同化学机制的简化城市配置中活性污染物扩散的CFD建模

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摘要

An accurate understanding of urban air quality requires considering a coupledbehavior between the dispersion of reactive pollutants and atmospheric dynamics.Currently, urban air pollution is mostly dominated by traffic emission,where nitrogen oxides (NO) and volatile organic compounds (VOCs) are theprimary emitted pollutants. However, modeling reactive pollutants with alarge set of chemical reactions, using a computational fluid dynamic (CFD)model, requires a large amount of computational (CPU) time. In this sense, theselection of the chemical reactions needed in different atmosphericconditions becomes essential in finding the best compromise between CPU time andaccuracy. The purpose of this work is to assess the differences in NO andNO concentrations by considering three chemical approaches: (a) passivetracers (non-reactive), (b) the NO–O photostationary state and(c) a reduced complex chemical mechanism based on 23 species and 25reactions. The appraisal of the effects of chemical reactions focuses onstudying the NO and NO dispersion in comparison with the tracer behaviorwithin the street. In turn, the effect of including VOC reactions is alsoanalyzed taking into account several VOC ∕ NO ratios of trafficemission. Given that the NO and NO dispersion can also be affected byatmospheric conditions, such as wind flow or the background concentration fromseason-dependent pollutants, in this work the influence of wind speeds andbackground O concentrations are studied. The results show that the presence ofozone in the street plays an important role in NO and NO concentrations.Therefore, greater differences linked to the chemical approach used are foundwith higher O concentrations and faster wind speeds. This bears relation tothe vertical flux as a function of ambient wind speed since it increases thepollutant exchange between the street and the overlying air. This detailedstudy allows one to ascertain under which atmospheric conditions the inclusion ofchemical reactions are necessary for the study of NO and NO dispersion.The conclusions can be applied to future studies in order to establish thechemical reactions needed in terms of an accurate modeling of NO and NOdispersion and the CPU time required in a real urban area.
机译:准确了解城市空气质量需要考虑反应性污染物的扩散与大气动力学之间的耦合行为。当前,城市空气污染主要由交通排放​​所控制,其中氮氧化物(NO)和挥发性有机化合物(VOC)是主要排放污染物。但是,使用计算流体动力学(CFD)模型对具有大量化学反应的反应性污染物进行建模需要大量的计算(CPU)时间。从这个意义上说,在不同的大气条件下需要进行的化学反应的选择对于找到CPU时间和精度之间的最佳折衷至关重要。这项工作的目的是通过考虑三种化学方法来评估NO和NO浓度的差异:(a)被动示踪剂(非反应性),(b)NO–O的光平稳态和(c)基于23种和25种反应。与街道上的示踪剂行为相比,对化学反应效果的评估侧重于研究NO和NO的扩散。反过来,还考虑了几个VOC ∕ NO的交通排放比率,分析了包括VOC反应的影响。考虑到NO和NO的分散也可能受到大气条件的影响,例如风流量或季节相关污染物的背景浓度,因此在这项工作中研究了风速和背景O浓度的影响。结果表明,街道中臭氧的存在对NO和NO浓度起着重要作用。因此,发现更高的O浓度和更快的风速与所使用的化学方法有关。这与作为环境风速函数的垂直通量有关,因为它增加了街道与上层空气之间的污染物交换。这项详细的研究使人们可以确定在何种大气条件下必须进行化学反应来研究NO和NO的扩散。这些结论可用于今后的研究中,以建立对NO和NO扩散的精确建模所需的化学反应。以及实际市区所需的CPU时间。

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