Dynamic Assessment of Airport Noise and Noise Abatement Procedures

¹ College of Transportation Science and Engineering, Civil Aviation University of China, Tianjin 300300, China
² Center for Aviation Energy Environment and Green Development Research and Engineering, Tianjin 300300, China

^* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.

Abstract

To overcome the limitations of static airport noise assessment, this paper proposes a dynamic evaluation framework that integrates data-driven and simulation-based approaches. Based on ADS-B data, a two-stage clustering method is employed to extract representative flight trajectories. Noise simulation is conducted using the Aviation Environmental Design Tool (AEDT), and by integrating high-resolution population data, a spatial noise-population exposure model is constructed, enabling simultaneous fine-grained assessment of both the noise-affected area and the exposed population. The results show that NADP2 performs better in reducing the impacted area within the 70 — 80dB range, whereas NADP1 achieves more pronounced noise reduction in high-noise regions above 85dB. A key policy-relevant paradox is revealed: noise abatement procedures can reduce the overall noise-impacted area, yet may increase population exposure due to spatial redistribution of the noise field. This finding underscores the necessity of incorporating demographic data into dynamic airport noise management.