Van Renterghem, T., Horoshenkov, K.V. orcid.org/0000-0002-6188-0369, Parry, J.A. et al. (1 more author) (2022) Statistical analysis of sound level predictions in refracting and turbulent atmospheres. Applied Acoustics, 185. 108426. ISSN 0003-682X
Abstract
There is a lack of data on the statistical properties of the sound pressure level fluctuations which are caused by uncertainties in source/receiver heights, range, ground conditions and atmospheric effects. This paper contributes to this knowledge gap through statistical analysis of the atmospheric effects on sound pressure levels performed with a Green’s function parabolic equation model and a turbulence scattering model. The probability density functions for the sound pressure level relative to free field propagation are calculated for the source and receiver close to the ground, up to 1 km propagation distance, for typical annual meteorological conditions and two types of ground. It is found that the ground type and refractive state of the atmosphere have a pronounced effect on the probability distribution. Under some conditions and at some frequency intervals, distributions can be remarkably similar. Furthermore, accounting for meteorological effects become increasingly important with range when predicting sound pressure level distributions. This work contributes to a better understanding of the role of uncertainties in outdoor sound propagation that might serve for improved accuracy of statistical source localisation and characterisation methods based on parameter inversion.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2021 Elsevier Ltd. |
Keywords: | Outdoor sound propagation; Atmospheric refraction; Turbulent scattering; Uncertainty |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Mechanical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 11 Oct 2021 10:57 |
Last Modified: | 11 Oct 2021 10:57 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.apacoust.2021.108426 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:179054 |