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    Modeling cumulative sound exposure around marine seismic surveys

    Access Status
    Fulltext not available
    Authors
    Erbe, Christine
    King, A.
    Date
    2009
    Type
    Journal Article
    
    Metadata
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    Citation
    Erbe, C. and King, A. 2009. Modeling cumulative sound exposure around marine seismic surveys. Journal of the Acoustical Society of America. 125 (4): pp. 2443-2451.
    Source Title
    Journal of the Acoustical Society of America
    Additional URLs
    http://scitation.aip.org/content/asa/journal/jasa/125/4/10.1121/1.3089588
    ISSN
    0001-4966
    URI
    http://hdl.handle.net/20.500.11937/46876
    Collection
    • Curtin Research Publications
    Abstract

    This article presents a method for reducing the computation time required for estimating cumulative sound exposure levels. Sound propagation has to be computed from every source position to every desired receiver location; so if there are many source positions, then the problem can quickly become computationally expensive. The authors' solution to this problem is to extract all possible source-receiver pathways and to cluster these with a self-organizing neural net. Sound propagation is modeled only for the cluster centroids and extrapolated for the entire geographic region. The tool is illustrated for the example of a marine seismic survey over a tropical coral reef. Resident fish species were expected not to flee the reef, but to stay among the corals for the entire duration of the survey. In such cases, the modeling of cumulative sound exposure levels is sometimes requested as part of environmental impact assessments. The tool developed combines a seismic sourcemodel, a near-field sound propagationmodel, and a far-field sound propagationmodel. The neural network reduces the computation time by a factor of 55. The cost is an error in modeled received levels of less than -1±3 dB re 1 µPa2?s.

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