Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals

This paper presents an empirical linear equation to predict peak pressure level of anthropogenic impulsive signals based on its correlation with the sound exposure level. The regression coefficients are shown to be weakly dependent on the environmental characteristics but governed by the source type...

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Main Authors: Galindo Romero, M., Lippert, T., Gavrilov, Alexander
Format: Journal Article
Published: 2015
Online Access:http://hdl.handle.net/20.500.11937/14980
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author Galindo Romero, M.
Lippert, T.
Gavrilov, Alexander
author_facet Galindo Romero, M.
Lippert, T.
Gavrilov, Alexander
author_sort Galindo Romero, M.
building Curtin Institutional Repository
collection Online Access
description This paper presents an empirical linear equation to predict peak pressure level of anthropogenic impulsive signals based on its correlation with the sound exposure level. The regression coefficients are shown to be weakly dependent on the environmental characteristics but governed by the source type and parameters. The equation can be applied to values of the sound exposure level predicted with a numerical model, which provides a significant improvement in the prediction of the peak pressure level. Part I presents the analysis for airgun arrays signals, and Part II considers the application of the empirical equation to offshore impact piling noise.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:10:18Z
publishDate 2015
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-149802017-09-13T15:47:18Z Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals Galindo Romero, M. Lippert, T. Gavrilov, Alexander This paper presents an empirical linear equation to predict peak pressure level of anthropogenic impulsive signals based on its correlation with the sound exposure level. The regression coefficients are shown to be weakly dependent on the environmental characteristics but governed by the source type and parameters. The equation can be applied to values of the sound exposure level predicted with a numerical model, which provides a significant improvement in the prediction of the peak pressure level. Part I presents the analysis for airgun arrays signals, and Part II considers the application of the empirical equation to offshore impact piling noise. 2015 Journal Article http://hdl.handle.net/20.500.11937/14980 10.1121/1.4938269 fulltext
spellingShingle Galindo Romero, M.
Lippert, T.
Gavrilov, Alexander
Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals
title Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals
title_full Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals
title_fullStr Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals
title_full_unstemmed Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals
title_short Empirical prediction of peak pressure levels in anthropogenic impulsive noise. Part I: Airgun arrays signals
title_sort empirical prediction of peak pressure levels in anthropogenic impulsive noise. part i: airgun arrays signals
url http://hdl.handle.net/20.500.11937/14980