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Particle motion measurements near a rocky shore off Cabo Frio Island.
Jesus, S M; Xavier, F C; Vio, R P; Osowsky, J; Simões, M V S; Netto, E B F.
Afiliação
  • Jesus SM; Laboratory of Robotics and Engineering Systems, University of Algarve, 8005-135 Faro, Portugal.
  • Xavier FC; Instituto de Estudos do Mar Almirante Paulo Moreira, Brazilian Navy, Arraial do Cabo, Rio de Janeiro, Brazil.
  • Vio RP; Instituto de Estudos do Mar Almirante Paulo Moreira, Brazilian Navy, Arraial do Cabo, Rio de Janeiro, Brazil.
  • Osowsky J; Instituto de Estudos do Mar Almirante Paulo Moreira, Brazilian Navy, Arraial do Cabo, Rio de Janeiro, Brazil.
  • Simões MVS; Instituto de Estudos do Mar Almirante Paulo Moreira, Brazilian Navy, Arraial do Cabo, Rio de Janeiro, Brazil.
  • Netto EBF; Instituto de Estudos do Mar Almirante Paulo Moreira, Brazilian Navy, Arraial do Cabo, Rio de Janeiro, Brazil.
J Acoust Soc Am ; 147(6): 4009, 2020 06.
Article em En | MEDLINE | ID: mdl-32611170
ABSTRACT
This paper describes the lessons learned from the experiment BIOCOM'19 carried out in January 2019, in a shallow water bay off the island of Cabo Frio (RJ, Brazil). A dual accelerometer vector sensor hydrophone was deployed for two days, near a rocky shore covered with a significant benthic fauna. The results show that the frequency band above approximately 1.5 kHz is mostly associated with invertebrate biological noise and that the acoustic and the particle motion fields have a similar behavior, following the usual dawn-dusk activity pattern, and a coherent directivity content. At low frequencies, below ∼300 Hz, the acoustic pressure and the particle acceleration fields have significantly different spectral content along time. Many of these differences are due to anthropogenic noise sources related with nearby boating activity, while during quiet periods, they may be attributed to the biological activity from the rocky shore.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article