Characterization of aircraft emissions and air quality impacts of an international airport

被引:7
|
作者
Xiaowen Yang [1 ]
Shuiyuan Cheng [1 ,2 ]
Jianlei Lang [1 ]
Ran Xu [3 ]
Zhe Lv [1 ]
机构
[1] Key Laboratory of Beijing on Regional Air Pollution Control, Beijing University of Technology
[2] Collaborative Innovation Center of Electric Vehicles in Beijing
[3] National Meteorological Center of CMA
基金
中国国家自然科学基金;
关键词
Beijing Capital International Airport; Aircraft; Emission inventory; Air quality;
D O I
暂无
中图分类号
X51 [大气污染及其防治]; X738 [航空];
学科分类号
0706 ; 070602 ;
摘要
Beijing Capital International Airport(ZBAA) is the world’s second busiest airport. In this study, the emissions of air pollutants from aircraft and other sources at ZBAA in 2015 were estimated using an improved method, which considered the mixing layer height calculated based on aircraft meteorological data relay(AMDAR), instead of using the height(915 m)recommended by ICAO. The yearly emissions of NOx, CO, VOCs, SO2, and PM2.5at the airport were 8.76 × 103, 4.43 × 103, 5.43 × 102, 4.80 × 102, and 1.49 × 102ton/year, respectively. The spatial–temporal distribution of aircraft emissions was systematically analyzed to understand the emission characteristics of aircraft. The results indicated that NOxwas mainly emitted during the take-off and climb phases, accounting for 20.5% and 55.5% of the total emissions. CO and HC were mainly emitted during the taxi phase, accounting for 91.6%and 92.2% of the total emissions. Because the mixing layer height was high in summer, the emissions of aircraft were at the highest level throughout the year. Based on the detailed emissions inventory, four seasons simulation using WRF-CMAQ model was performed over the domain surrounding the airport. The results indicated that the contribution to PM2.5was relatively high in winter; the average impact was about 1.15 μg/m3within a radius of1 km around the airport. Meanwhile, the near surroundings and southwest areas of the airport are the most sensitive to PM2.5.
引用
收藏
页码:198 / 207
页数:10
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