中国民航的快速扩张导致了与污染相关的问题的增加,对机场和下风附近的人群造成不利的健康影响。准确量化航空排放对于有效的排放管理至关重要。这里,我们通过采用依赖每日航班时间表的自下而上的方法,为中国开发了高分辨率的航空排放清单。通过使用航空信息出版物(AIP)来重现现实世界的飞行路线,而不是传统的大圆路线,我们提高了排放的准确性,并研究了减少这些排放的潜力。我们的研究结果表明,国内民航排放在空间和时间上都存在很大差异。在中国假期期间,大多数省份的排放量达到顶峰,尤其是中国农历新年和暑假,强调详细的活动数据对于准确的排放计算的重要性。因此,我们建议广泛利用现实世界的飞行路线,特别是在自动相关监视广播(ADS-B)覆盖范围有限的地区,因为它们提供了更准确的实际飞行轨迹表示。我们的研究还确定了陕西等地区,四川,北京,由于与大圆路线的大幅偏离,它们的周围环境具有相当大的减排潜力。这种方法可以提高全年国家和全球范围内航空排放的准确性和时空分辨率,不依靠广泛的,长期实时飞行轨迹。此外,它提供了一种独特的方法来量化民航各省的减排潜力,最终有助于减轻航空排放对污染相关健康的影响,并促进更可持续的航空业。
China\'s rapid expansion of civil aviation has led to an increase in pollution-related issues, causing adverse health effects on populations near airports and downwind. Accurately quantifying aviation emissions is essential for effective emission management. Here, we developed a high-resolution aviation emissions inventory for China by employing a bottom-up approach that relied on daily flight schedules. By using the Aeronautical Information Publication (AIP) to reproduce real-world flight routes rather than conventional great-circle routes, we improved the accuracy of emissions and investigated the potential for reducing these emissions. Our findings demonstrated substantial variations in domestic civil aviation emissions both spatially and temporally. Emissions peaked in most provinces during Chinese holidays, particularly the Chinese Lunar New Year and summer holidays, highlighting the importance of detailed activity data for accurate emissions calculations. Therefore, we recommend extensive utilization of real-world flight routes, particularly in areas with limited Automatic Dependent Surveillance-Broadcast (ADS-B) coverage since they provide more accurate representations of actual flight trajectories. Our study also identified regions like Shaanxi, Sichuan, Beijing, and their surroundings having considerable potential for emission reduction due to substantial deviations from great-circle routes. This approach can enhance the accuracy and spatiotemporal resolution of aviation emissions at national and global scales throughout the year, without relying on extensive, long-term real-time flight trajectories. Additionally, it provides a unique way to quantify the potential for emission reductions across provinces in civil aviation, ultimately contributing to mitigating pollution-related health impacts from aviation emissions and promoting a more sustainable aviation industry.