Airport-related pollution is quantified using an idealized numerical environment. 14-hour large-eddy simulations are run over a fictitious but representative regional airport under an academic wintertime anticyclonic situation with the atmospheric model Meso-NH. A simplified photo-chemical module is used and the model is coupled with an emission inventory providing realistic traffic conditions over a 0600–2000 UTC cycle. The emission inventory only includes aircraft related pollutants sources allowing us to isolate and quantify their contribution to local pollution. Two simulations are run in order to characterize the fine scale spatio-temporal evolution of the plume under simple and double traffic activity. Starting from an idealized quiescent and clean atmosphere, the NO₂ concentrations reached over the platform range from 10¹ to 10⁴ μg m⁻³. The air quality standards are transgressed near the emissions sources and over a large portion of the platform when the atmosphere is stably stratified. On a larger-scale, the airport-related emissions contribute to NO₂ levels up to at least 50 μg m⁻³ over several square kilometers. The size of the areas affected by the plume is very sensitive to the traffic activity and grows at a rate which is higher than the activity increase itself. Conversely, a twofold augmentation of the traffic results in a less than twofold NO₂ concentrations increase because of the non-linearity of the photo-chemical activity. Future contributions could be conducted with a more realistic configuration in order to quantify the interactions between this airport-related plume and the surrounding emissions.

使用理想化的数值环境量化与机场相关的污染。在学术性冬季反气旋情况下，使用 Meso-NH 大气模型在虚构但具有代表性的支线机场上运行 14 小时大涡模拟。使用简化的光化学模块，该模型与排放清单相结合，提供 0600-2000 UTC 周期内的真实交通状况。排放清单仅包括与飞机相关的污染物来源，使我们能够隔离和量化它们对当地污染的贡献。运行两次模拟以表征在简单和双重交通活动下羽流的精细尺度时空演变。从理想化的安静和清洁的气氛开始，NO ₂在平台上达到的浓度范围从 10 ¹到 10 ⁴  μg  m ^-3。当大气稳定分层时，在排放源附近和平台的大部分区域都超出了空气质量标准。在更大范围内，与机场相关的排放导致数平方公里内的NO ₂水平高达至少 50 μg m ^-3。受羽流影响的区域的大小对交通活动非常敏感，其增长速度高于活动增长本身。相反，流量的两倍增加导致不到两倍的 NO ₂由于光化学活性的非线性，浓度增加。未来的贡献可以通过更现实的配置进行，以量化与机场相关的羽流与周围排放之间的相互作用。