英文题目：A pathway to sustainable aviation: Modeling aircraft takeoff mass for precise fuel consumption and aircraft emission calculations
中文题目：可持续航空的新策略：通过建模飞机起飞质量精确计算燃油消耗与排放
作者：Runyuan Zou, Bing Wang, Kun Wang, Wen-Long Shang, Dabin Xue, Washington Yotto Ochieng
关键词：Sustainable aviation; Aircraft takeoff mass; Fuel consumption; Aircraft emissions; Improved simulated annealing algorithm
原文链接：https://doi.org/10.1016/j.energy.2025.135074
期刊名称：Energy
期刊分区：JCR Q1
IF：9.0
研究意义
摘要：As air travel demand continues to rise, aviation fuel consumption and emissions have become critical concerns. Accurate fuel and emissions calculations depend significantly on aircraft takeoff mass, a parameter often kept confidential by airlines. This study aims to address this challenge by developing a takeoff mass estimation model utilizing Quick Access Recorder (QAR) data, which is optimized and validated through the Improved Simulated Annealing (ISA) algorithm. This model is designed to be adaptable to Automatic Dependent Surveillance-Broadcast (ADS-B)data, providing a novel solution for estimating takeoff mass in the absence of confidential data from airlines. By incorporating the estimated takeoff mass into a framework for fuel consumption and emission calculations based on the Base of Aircraft Data (BADA) and the Engine Emissions Data Bank (EEDB), this study provides reasonably accurate estimations of fuel consumption and emissions across different flight phases. The method is validated with historical data from B738 and A320, yielding an average relative error of 3.34 % in takeoff mass estimation, with 97.81 % of flights falling within a 10 % error margin. Emission calculations align with observed operational pollution patterns. This model enhances fuel efficiency and emissions monitoring, supporting sustainable aviation practices for airlines, manufacturers, and regulatory agencies.
英文题目：Investigating the Impact of Aviation Activity on Fine Particulate Matter, Black Carbon, and Ultrafine Particles Using Flight Track Data at the Ottawa International Airport
中文题目：基于飞行轨迹数据的渥太华国际机场航空活动对细颗粒物、黑碳和超细颗粒物的影响研究
作者：Ben Nikkel, Kieran Aston, Ryan Kulka, Mathieu Rouleau, Shayesta Seenundun, Paul J. Villeneuve, Keith Van Ryswyk
关键词：Aviation; Ultrafine particles; Air pollution; Health; Fixed site monitoring; Canada
原文链接：https://doi.org/10.1021/acsestair.4c00288
期刊名称：ACS ES&T Air
图形摘要
摘要：Ambient particulate matter pollution has been found to increase in concentration downwind from airports. This relationship is mostly evident for particles in the ultrafine size range. Furthermore, epidemiological research has found that those who live near airports have increased risks of premature mortality, decreased lung function, and adverse birth outcomes. Previous exposure studies of airport emissions have been based in urban centers, making it difficult to selectively measure airport emissions without the contribution of other related sources. Our aim was to characterize the relationships between air pollutant particle measures (ultrafine particles [UFP], fine particulate matter [PM2.5], black carbon [BC]) and air traffic (landings and take-offs [LTO]) at the Ottawa International Airport [YOW]. A monitoring site was established in greenspace approximately 600 m east of YOW and away from roadways and urban development. Air pollutant particles were measured continuously from June 2022 to January 2023. Flight track data was used to derive hourly LTO counts. Analyses of source directionality showed thatUFP concentrations were higher when downwind from the airport. Further, when wind speeds were less than 20 km/h, UFP and LTO showed similar diurnal trends. No evidence of these associations was evident for PM2.5 and BC. After selecting for airport wind directions and wind speeds less than 20 km/h, linear regression models showed each additional takeoff led to a 10–13% increase in the 50th to 99th UFP concentration percentiles. Our findings support policies designed to reduce potential health impacts of airport emissions on the exposed community.
英文题目：Unique Microphysical Structures of Ultrafine Particles Emitted from Turbofan Jet Engines
中文题目：涡扇喷气发动机排放的超细颗粒物的独特微物理结构
作者：Akihiro Fushimi, Yuji Fujitani, Lukas Durdina, Julien G. Anet, Curdin Spirig, Jacinta Edebeli, Hiromu Sakurai, Yoshiko Murashima, Katsumi Saitoh, Nobuyuki Takegawa
关键词：Aircraft exhaust; Onion-like particles; Soot; Number size distributions; Morphology
原文链接：https://doi.org/10.1021/acsestair.4c00309
期刊名称：ACS ES&T Air
图形摘要
摘要：The impact of aircraft exhaust particles on human health and climate are raising concerns globally. Particle number concentrations in exhaust plumes of turbofan jet engines, which are commonly used in civil aviation, are generally dominated by volatile particles (sulfates or organics) rather than nonvolatile particles (mostly soot). However, the mechanism of emission and formation of volatile particles are unclear. Here, we evaluated the exhaust particles from turbofan engines at the engine exit and downstream. In downstream samples, the number of soot particles with scattering-layered graphene-like structures, typically generated by combustion, was <1% of the total number of particles analyzed. The remaining fraction predominantly contained trace amorphous, amorphous, and onion-like particles that partially contain graphene-like circular layers. The microphysical structures of these three types of particles in aircraft exhaust plumes were newly identified. They were mainly single spherical particles with diameters of ∼10–20 nm, suggesting that they were formed via nucleation and partial pyrolysis and were not significantly affected by coagulation with preexisting soot particles. The unique internal structures of these particles may affect their physicochemical properties, including volatility, surface reactivity, and solubility, and potentially impact their interaction with the human respiratory tract.
英文题目：A Comprehensive Analysis of Interflight Variability in Carbon Dioxide Emissions from Global Aviation
中文题目：全球航空碳排放航班间差异性的系统分析
作者：Yuxiao Han, Huizhong Shen, Xin He, Zelin Mai, Ruixin Zhang, Zhiyu Zheng, Yiqi Liu, Xin Zhang, Guanting Li, Zhanwei Zhang, Zien Liang, Yilin Chen, Yang Xie, Mei Li, Guofeng Shen, Chen Wang, Jianhuai Ye, Lei Zhu, Tzung-May Fu, Xin Yang
关键词：Aviation; Carbon dioxide; Global emission inventory; ADS-B
原文链接：https://doi.org/10.1021/acs.est.5c02371
期刊名称：Environmental Science & Technology
期刊分区： JCR Q1
IF：10.8
图形摘要
摘要：Aviation represents one of the most formidable sectors to address in terms of CO2 emission mitigation. The determinants of emission variability among individual flights remain inadequately understood, thereby hindering the development of effective mitigation strategies. Here, employing an extensive flight tracking data set (Flightradar24), we assess the interflight variability in CO2 emissions from global aviation with an unprecedented level of spatial and temporal granularity─down to meters and seconds, respectively. In 2019, 2020, and 2021, global aviation emitted 899 [696–1122], 469 [363–581], and 542 [418–672] Tg CO2, respectively. Based on this trajectory-level CO2 emission data set, we develop reduced-form models for over two hundred standard aircraft types that capture this flight-to-flight variability. These models offer a novel tool for understanding why emissions differ across individual flights and routes, providing crucial insights to support targeted emission reduction measures within the aviation sector. Further analysis reveals that optimizing airport flight scheduling and route planning can significantly reduce emissions. Airports with moderate flight volumes exhibit the greatest potential for relative emission reductions (51.6%, 0.12 Tg·year–1), whereas those with the highest flight volumes offer the most substantial absolute reduction potentials (12.9%, 1.39 Tg·year–1). Our study underscores the significance of CO2 emission assessment based on actual flight trajectories and addresses gaps in research on emission reductions during airport taxiing subphases.