Spatiotemporal Emission Characteristics and Driving Factors of Air Pollutants and CO₂ from Aircraft at Airports: A Case Study in China.

This project framework guides researchers in studying where and when aircraft at regional airports release air pollutants and carbon dioxide (CO₂), and what causes those emissions. It follows standard inventory methods, such as the International Civil Aviation Organization (ICAO) advanced engine emissions database, to calculate emissions from the landing‑and‑take‑off (LTO) cycle. The work looks at how emissions spread across airport taxiways, runways, and terminal gates, and how they change with seasonal flight schedules and daily traffic peaks. It also helps identify the main factors that drive emission levels—like the mix of aircraft types, the age of the fleet, flight delays, and local weather—using multivariate regression or index decomposition analysis. By

setting up a solid analytical framework, the project lets researchers measure the local environmental impact of civil aviation. The resulting simulation model can be used as a decision‑support tool for air‑quality management and carbon‑reduction planning, making it easier to test targeted emission‑cutting policies at major airport hubs.

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