Emission and environmental impact of Beijing Daxing International Airport

Abstract

This study established the first air pollutant emission inventory for the take-off and landing（LTO）cycle of Beijing Daxing International Airport，based on the actual flight data and the latest Aircraft Engine Emissions Database（EEDB）released by the International Civil Aviation Organization（ICAO）. Three periods including trial operation，COVID-19 outbreak and normalization were considered and the ADMS-Airport model was utilized to simulate the air quality impact. An innovative prediction method combining flight activity and meteorological parameters is developed to estimate the impact of airport emission on the future atmospheric environment under the medium- and long-term plan. The results showed that CO，NOx，HC，SO2 and PM emissions in the LTO cycle during the study period were 389.55，574.37，31.21，45.22 and 4.85 t，respectively. NOx and CO were the primary pollutants，accounting for 54.9% and 37.3% of the total pollutants. CO and HC emissions were mainly emitted in the taxiing stage，accounting for 93.4% and 94.1%. The NOx emission primarily occurred in the take-off and climb stages，accounting for about 63.7%. Among all the aircrafts taking off and landing at the airport，the B738 emitted the highest total amount of all the pollutants，whereas the A332/333 showed the highest PM emission per unit LTO cycle. The air quality simulation results showed that the largest monthly contribution of air pollutants to the nearest air quality station was in the normalization period，and the mean contributions of CO，NOx，HC，SO2 and PM were 1.43，1.30，0.11，0.12 and 0.01 μg·m-3，respectively. The predicted annual contribution of airport emission to the nearest station in 2030 could reach to 2.24 μg·m-3 for CO，3.21 μg·m-3 for NOx，0.17 μg·m-3 for HC，0.25 μg·m-3 for SO2，and 0.03 μg·m-3 for PM，respectively. This study could provide reliable data and scientific basis for the future management of airport air quality control.