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.
| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 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 |