Improving the accuracy of the airport aircraft pollutant emission inventory is an important prerequisite for the development of green civil aviation. Firstly, this study uses the data of flight operation and aviation routine weather

report of Guangzhou Baiyun International Airport in 2019 as the driving force to calculate and correct key parameters such as flow rate of engine fuel, pollutant emission index, mixing layer height and flight operation stage duration. Secondly, the emission inventories for hydrocarbons (HC), carbon monoxide (CO) and nitrogen oxides (NOx)

are established and compared based on the standard model of International Civil Aviation Organization and datadriven correction model(abbreviated as correction model) , and comparative analysis is conduced. Finally, the pollutant emission characteristics are explored from three dimensions including aircraft type, time and space. The results show that the annual emissions of HC, CO and NOx obtained by the corrected model are 10.26%, 11.94%, and

26.03% lower than those of the standard model. A320 aircraft type has lower emission intensities. The peak emissions of three pollutants occur from 08：00 to 10：00, while the off-peak emission times are from 02：00 to 03：00.

HC and CO emissions change little throughout the year, in contrast, NOx emissions are higher in November and

December when the mixing layer height is higher and the relative humidity is lower. The emissions of the three pollutants are concentrated in the directions corresponding to the departure route points of LMN, YIN and VIBOS.

emission inventory, data-driven, airport area, aircraft, emission characteristics