Ang LYL, Yong JR, Cui F, Poh HJ. Aircraft noise prediction capability development: An overview of flight profile creation. In: Proceedings of the 24th International Congress on Acoustics (ICA 2022). Gyeongju, South Korea: The Acoustical Society of Korea; 2022. p. 483.
Abstract:
The outbreak of COVID-19 pandemic has led to the implementation of remote work as one of the safe management measures at workplaces. Consequently, most of the population has been staying home in the daytime—a period when the volume of air traffic may be higher. For residents staying near to an airport, their work concentration may be adversely affected by aircraft noise, not to mention that prolonged exposure could cause health problems. Hence, it is crucial to consider how aircraft noise can be predicted using noise maps. Before any noise management measures can be assessed for feasibility, aircraft noise prediction is first necessary to unveil how residential areas are affected. This paper presents an overview of the aircraft noise prediction capability that has been developed based on ECAC Doc. 29. The computation procedure involves flight profile creation, sound propagation physics correction, and noise map generation. The scope of this paper is limited to flight profile creation. Critical output parameters were compared against that of SoundPLAN. Results showed that the developed code can accurately compute both departure and arrival flight profiles.
License type:
Publisher Copyright
Funding Info:
There was no specific funding for the research done