Aircraft noise prediction capability development: An overview of flight profile creation

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. © ICA 2022.All rights reserved

CURRENT DEVELOPMENT OF AN AIRCRAFT NOISE PREDICTION ALGORITHM: AN OVERVIEW

Owing to the COVID-19 pandemic, remote work has been widely adopted as one of the safe management measures at workplaces. The rapid advancement in communications technology has enabled work to still be delivered efficiently and effectively through virtually. With remote work being a norm in workplace management, housing estates are expected to remain largely occupied during office hours. For residents who are staying near to an aerodrome, their work concentration may be affected by aircraft noise pollution. Prolonged aircraft noise exposure could have negative effects in the built environment. Therefore, it is timely to emphasise the importance of aircraft noise prediction and management at the outset of urban planning. This paper presents the current development of an aircraft noise prediction algorithm, which will eventually serve as a tool to study the effects and control measures of aircraft noise. © International Institute of Acoustics and Vibration (IIAV), 2022.