Ang LYL, Cui F. Current development of an aircraft noise prediction algorithm: An overview. In: Proceedings of the 28th International Congress on Sound and Vibration (ICSV28). Singapore: Society of Acoustics Singapore; 2022. p. 238.
Abstract:
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 emphasize 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.
License type:
Publisher Copyright
Funding Info:
There was no specific funding for the research done