Quantifying the effect of uncertainty in meteorological conditions on aircraft noise propagation

Harshal P. Patankar, Victor Ward Sparrow

Research output: Contribution to conferencePaper

1 Citation (Scopus)

Abstract

Accurate prediction of aircraft noise is of importance for complying with noise regulations, and also for planning infrastructure around airports. Methods used in practice to predict aircraft noise vary considerably in complexity. The accuracy of noise level predictions can be affected by uncertainty in the input parameters (such as the mean meteorological profiles), even when high-fidelity propagation models are used. This work attempts to address the effect of uncertainties in the aircraft noise propagation path (meteorological conditions) on the predicted noise levels. This is achieved with the help of a stochastic sampling technique called ‘Latin hypercube sampling’, in conjunction with Crank–Nicolson Parabolic Equation (CNPE) method. The methodology presented in Wilson et al. (JASA, 2014) is extended to the geometry of aircraft noise propagation. Uncertainties in humidity, temperature and wind profiles are considered. It is shown that the uncertainty in temperature profile seems to have a stronger influence on the received SPLs as compared to the effect of uncertainty in wind profile. Uncertainties in the meteorological conditions are shown to have a greater impact on the noise levels received near the ground (such as the average SPLs measured by a sound level meter), as the aircraft height is increased.

Original languageEnglish (US)
StatePublished - Jan 1 2018
Event47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018 - Chicago, United States
Duration: Aug 26 2018Aug 29 2018

Other

Other47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018
CountryUnited States
CityChicago
Period8/26/188/29/18

Fingerprint

noise propagation
aircraft noise
wind profiles
temperature profiles
sampling
airports
profiles
predictions
aircraft
planning
humidity
methodology
propagation
acoustics
geometry

All Science Journal Classification (ASJC) codes

  • Acoustics and Ultrasonics

Cite this

Patankar, H. P., & Sparrow, V. W. (2018). Quantifying the effect of uncertainty in meteorological conditions on aircraft noise propagation. Paper presented at 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018, Chicago, United States.
Patankar, Harshal P. ; Sparrow, Victor Ward. / Quantifying the effect of uncertainty in meteorological conditions on aircraft noise propagation. Paper presented at 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018, Chicago, United States.
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Patankar, HP & Sparrow, VW 2018, 'Quantifying the effect of uncertainty in meteorological conditions on aircraft noise propagation', Paper presented at 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018, Chicago, United States, 8/26/18 - 8/29/18.

Quantifying the effect of uncertainty in meteorological conditions on aircraft noise propagation. / Patankar, Harshal P.; Sparrow, Victor Ward.

2018. Paper presented at 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018, Chicago, United States.

Research output: Contribution to conferencePaper

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Patankar HP, Sparrow VW. Quantifying the effect of uncertainty in meteorological conditions on aircraft noise propagation. 2018. Paper presented at 47th International Congress and Exposition on Noise Control Engineering: Impact of Noise Control Engineering, INTER-NOISE 2018, Chicago, United States.