Study an analysis of aircraft emission inventory for Beijing Capital International Airport
LI Jie1,2, ZHAO Zhi-qi1,2, LIU Xin-gang3, ZHOU Xiao-ning4, WANG Kai1,2, ZHANG Peng1,2
1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
2. State Key Laboratory of Air Traffic Management, Nanjing 211106, China;
3. State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China;
4. Nanhang Jincheng College, Nanjing 211156, China
An accurate and comprehensive estimation of aircraft emissions during the landing and take-off (LTO) cycle in Beijing Capital International Airport in 2016 was provided in this paper by employing the US EPA method based on the actual operational data of the airport and mixed layer height obtained from lidar. It was shown that more NOx and CO than other pollutants was emitted by aircrafts during the LTO cycle, taking up 53.3% and 38.5% of the total emissions, respectively. Moreover, among all the phases of the LTO cycle, taxiing and climbing produced the most amount of emissions, accounting for 49.7% and 25.7% of the total emissions, respectively. Furthermore, most of CO, SOx, HC and PM emissions took place during the taxiing phase. The primary pollutants produced in the taxiing phase are CO (71.7%) and NOx (17.2%).In addition, the height of mixed layer had a significant effect on the emissions of NOx and CO, and the effect was much weaker for SOx, HC and PM. In terms of aircraft type, A320 and B77W respectively contributed the least and most emissions. Finally, taxiing time played a critical role in aircraft emissions. The optimization of planning and operation that aims to improve the taxiing efficiency holds promise to significantly reduce airport emissions.
李杰, 赵志奇, 刘新罡, 周晓宁, 王凯, 张朋. 首都国际机场航空器排放清单的计算分析[J]. 中国环境科学, 2018, 38(12): 4469-4475.
LI Jie, ZHAO Zhi-qi, LIU Xin-gang, ZHOU Xiao-ning, WANG Kai, ZHANG Peng. Study an analysis of aircraft emission inventory for Beijing Capital International Airport. CHINA ENVIRONMENTAL SCIENCECE, 2018, 38(12): 4469-4475.
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