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Emission characteristics and environmental impact assessment of a large airport in eastern coastal area
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Si-meng MA1, 2, Wen-hui ZHENG2, 3, Bo HAN1, 2, *, Jing-bo ZHAO1, 2, Jian YU2, 4
China Environmental Science | 2025, 45(11) : 6020 - 6031
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China Environmental Science | 2025, 45(11): 6020-6031
• Air Pollution Control •
Emission characteristics and environmental impact assessment of a large airport in eastern coastal area
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Si-meng MA1, 2, Wen-hui ZHENG2, 3, Bo HAN1, 2, *, Jing-bo ZHAO1, 2, Jian YU2, 4
Affiliations
  • 1.School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
  • 2.Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China
  • 3.College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
  • 4.Civil Aviation Management Institute of China, Beijing 100102, China
Published: 2025-11-20
Outline
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A high-resolution aircraft emission inventory for Qingdao Jiaodong Airport based on real flight trajectory datawas established.Concurrently, the three-dimensional non-steady-state puff dispersion model (CALPUFF) was improved to accommodate high-dynamic aircraft mobile sources, and the sensitivity of pollutant simulation results to the temporal and spatial resolution of aircraft emissionswas investigated. Building upon this, a quantitative assessment of the environmental impacts of aircraft emissionswasperformed. The results indicated that nitrogen oxides (NOx), sulfur dioxide (SO2), and fine particulate matter (PM2.5) emissionsexhibited similar temporal variation characteristics in relation to flight takeoffs and landings, with low emissions observed from 03:00 to 05:00 and high emissions occurring from 15:00 to 17:00. The spatial distribution of emissions was closely related to the airport layout and the approach and departure tracks, with high emissions concentrated in critical areas of the airport flight area, including the runway, taxiway, and apron. The spatiotemporal resolution of the aircraft emission inventory significantlyaffectedthe simulation results of pollutant concentrations, withthe effect of temporal resolution becoming increasingly pronounced at higher spatial resolutions. An emission inventory based on a 1-hourtemporal resolution and a 100-meter spatial resolution effectively captured short-term variations in local emissions and better characterized the fine-scale pollutant concentration distributions associated with airport operations. The annual mean contributions of aircraft emissions to NOx, SO2, and PM2.5 concentrations at Jiaodong Airport were 4.21, 0.53 and 0.07μg/m3, respectively, with regional maximum values of 220.25, 33.46 and 4.69μg/m3. These emissions were concentrated within a radius of 10~15km around the airport. Influenced by both meteorological factors and emissions, significant seasonal variations in the contributions of these three pollutants were observed. The impact was more widespread in winter; in contrast, during summer, it was primarily concentrated around the airport and its northwestern region.

large airport  /  air pollutant  /  aircraft emission  /  environmental impact  /  Qingdao Jiaodong
马思萌, 郑文慧, 韩博, 赵静波, 于剑. 东部沿海地区大型机场污染物排放特征及其环境影响评估. 中国环境科学, 2025 , 45 (11) : 6020 -6031 .
Si-meng MA, Wen-hui ZHENG, Bo HAN, Jing-bo ZHAO, Jian YU. Emission characteristics and environmental impact assessment of a large airport in eastern coastal area[J]. China Environmental Science, 2025 , 45 (11) : 6020 -6031 .
Year 2025 volume 45 Issue 11
67
15
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Article Info
  • Receive Date:2025-03-26
  • Online Date:2026-10-08
  • Published:2025-11-20
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  • Received:2025-03-26
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Affiliations
    1.School of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
    2.Research Centre for Environment and Sustainable Development of Civil Aviation of China, Civil Aviation University of China, Tianjin 300300, China
    3.College of Air Traffic Management, Civil Aviation University of China, Tianjin 300300, China
    4.Civil Aviation Management Institute of China, Beijing 100102, China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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