Pollutant emissions from aircraft operations contribute to the degradation of air quality in and around airports. Meeting the ICAO’s environmental certification standards regarding both gaseous and particulate aircraft engine emissions is one of the main challenges for air-transportation development over the coming years. To increase the accuracy of airport air pollution monitoring and prediction, advanced decision-making tools need to be developed. In this context, the present study aimed at demonstrating the modeling capabilities of an innovative methodology that accounts for the microscale evolution of aircraft emissions, both spatially and temporally. For this purpose, 3D high-resolution CFD simulations were carried out in the CAEPport configuration (medium-size mock airport) as defined by the Committee on Aviation Environmental Protection (CAEP/8) for local air-quality assessment. The modeled domain extends up to 8 km around the airport. A spatial resolution down to 1 m was used around buildings to refine the prediction of pollutant-emission concentrations. The model accounts for ambient meteorological conditions along with the background chemical composition. NO_x emissions from main engines and auxiliary power units (APUs) were individually tracked along LTO trajectories with a time resolution down to 1 s. The impact of atmospheric stability was investigated in three cases, i.e., stable, neutral, and unstable. The results show NO₂ dominating in apron areas due to the low power setting of main engines along APU contribution during extended parking. Conversely, a domination of NO emissions was observed at the runway threshold due to the high power setting of the main engines. Stable atmospheric conditions promoted higher NO and NO₂ concentrations as compared to both neutral and unstable cases. The use of APUs contributed to higher concentrations of both NO and NO₂ emissions and especially of NO₂ in terminal areas.

飞机运营产生的污染物排放导致机场及其周围空气质量下降。满足国际民航组织有关气体和颗粒飞机发动机排放的环境认证标准是未来几年航空运输发展的主要挑战之一。为了提高机场空气污染监测和预测的准确性，需要开发先进的决策工具。在这种背景下，本研究旨在展示一种创新方法的建模能力，该方法可以解释飞机排放在空间和时间上的微观演化。为此，在航空环境保护委员会 (CAEP/8) 定义的 CAEPport 配置（中型模拟机场）中进行了 3D 高分辨率 CFD 模拟，用于当地空气质量评估。建模域延伸至机场周围 8 公里。建筑物周围使用低至 1 m 的空间分辨率来完善污染物排放浓度的预测。该模型考虑了环境气象条件以及背景化学成分。主发动机和辅助动力装置 (APU) 的_氮氧化物排放量沿着 LTO 轨迹单独跟踪，时间分辨率低至 1 秒。大气稳定性的影响分为稳定、中性和不稳定三种情况。结果显示，由于长时间停车期间沿 APU 贡献的主发动机功率设置较低，NO ₂在停机坪区域占主导地位。相反，由于主发动机的高功率设置，在跑道入口处观察到 NO 排放占主导地位。 与中性和不稳定的情况相比，稳定的大气条件促进了更高的NO 和NO ₂浓度。 APU 的使用导致 NO 和 NO ₂排放浓度升高，尤其是航站区的 NO ₂浓度升高。