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Contribution of bone-reverberated waves to sound localization of dolphins: a numerical model
Nooghabi, A.H.; Grimal, Q.; Herrel, A.; Reinwald, M.; Boschi, L. (2020). Contribution of bone-reverberated waves to sound localization of dolphins: a numerical model. Acta Acustica 5: 3. https://dx.doi.org/10.1051/aacus/2020030
In: Acta Acustica. EDP Sciences: France. ISSN 1022-4793; e-ISSN 2681-4617, more
Peer reviewed article  

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Keyword
    Marine/Coastal
Author keywords
    Dolphin’s echolocation / Numerical modeling / Reverberation / Correlation

Authors  Top 
  • Nooghabi, A.H.
  • Grimal, Q.
  • Herrel, A., more
  • Reinwald, M.
  • Boschi, L.

Abstract
    We implement a new algorithm to model acoustic wave propagation through and around a dolphin skull, using the k-Wave software package [1]. The equation of motion is integrated numerically in a complex three-dimensional structure via a pseudospectral scheme which, importantly, accounts for lateral heterogeneities in the mechanical properties of bone. Modeling wave propagation in the skull of dolphins contributes to our understanding of how their sound localization and echolocation mechanisms work. Dolphins are known to be highly effective at localizing sound sources; in particular, they have been shown to be equally sensitive to changes in the elevation and azimuth of the sound source, while other studied species, e.g. humans, are much more sensitive to the latter than to the former. A laboratory experiment conducted by our team on a dry skull [2] has shown that sound reverberated in bones could possibly play an important role in enhancing localization accuracy, and it has been speculated that the dolphin sound localization system could somehow rely on the analysis of this information. We employ our new numerical model to simulate the response of the same skull used by [2] to sound sources at a wide and dense set of locations on the vertical plane. This work is the first step towards the implementation of a new tool for modeling source (echo)location in dolphins; in future work, this will allow us to effectively explore a wide variety of emitted signals and anatomical features.

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