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Proceeding Paper

Validating Aircraft Noise Models †

by 1,* and 2
1
School of Electrical and Computer Engineering, Ben-Gurion University, Beer-Sheva 8410501, Israel
2
School of Computer Science, the College of Management Academic Studies, Rishon LeZion 7579806, Israel
*
Author to whom correspondence should be addressed.
Presented at the 8th OpenSky Symposium 2020, Online, 12–13 November 2020.
Proceedings 2020, 59(1), 12; https://doi.org/10.3390/proceedings2020059012
Published: 3 December 2020
(This article belongs to the Proceedings of 8th OpenSky Symposium 2020)
Aircraft noise, especially at takeoffs and landings, became a major environmental nuisance and a health hazard for the population around metropolitan airports. In the battle for a better quality of life, wellbeing, and health, aircraft noise models are essential for noise abatement, control, enforcement, evaluation, policy-making, and shaping the entire aviation industry. Aircraft noise models calculate noise and exposure levels based on aircraft types, engines and airframes, aircraft flight paths, environment factors, and more. Validating the aircraft noise model is a mandatory step towards the model credibility, especially when these models play such a key role with a huge impact on society, economy, and public health. Yet, no validation procedure was offered, and it turns out to be a challenging task. The actual, measured, aircraft noise level is known to be subject to statistical variation, even for the same aircraft type at the same situation and flight phase, executing the same flight procedure, with similar environmental factors and at the same place. This study tries to validate the FAA’s AEDT aircraft noise model, by trying to correlate the specific flight path of an aircraft with its measured noise level. The results show that the AEDT noise model underestimates the actual noise level, and four validation steps should be performed to correct or tune aircraft noise databases and flight profiles.
Keywords: noise model; aircraft noise; noise model validation noise model; aircraft noise; noise model validation
MDPI and ACS Style

Giladi, R.; Menachi, E. Validating Aircraft Noise Models. Proceedings 2020, 59, 12. https://doi.org/10.3390/proceedings2020059012

AMA Style

Giladi R, Menachi E. Validating Aircraft Noise Models. Proceedings. 2020; 59(1):12. https://doi.org/10.3390/proceedings2020059012

Chicago/Turabian Style

Giladi, Ran, and Eliav Menachi. 2020. "Validating Aircraft Noise Models" Proceedings 59, no. 1: 12. https://doi.org/10.3390/proceedings2020059012

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