DocumentCode
1223213
Title
Remote estimates of physical and acoustic sediment properties in the South China Sea using chirp sonar data and the biot model
Author
Schock, Steven G.
Author_Institution
Dept. of Ocean Eng., Florida Atlantic Univ., Boca Raton, FL, USA
Volume
29
Issue
4
fYear
2004
Firstpage
1218
Lastpage
1230
Abstract
A chirp sonar acquires sea-bed reflection data in the South China Sea, generates imagery of the sediment layering, and estimates sediment properties along the acoustic propagation paths selected for the Asian Sea International Acoustics Experiment (ASIAEX). Normal incidence reflection data, collected by the chirp sonar, are processed with an inversion technique based on the Biot model. The inputs for the inversion are reflection coefficient and attenuation rolloff measurements extracted from chirp sonar reflection data. The inversion provides the acoustic and physical properties of the sediments for the top layer of the sea bed. Porosity, predicted by the inversion, agrees with directly measured porosity. Estimates of porosity, mean grain size, permeability, fast wave velocity, and attenuation (in decibels/meter) are given for the uppermost sediment layer along each of the acoustic propagation lines.
Keywords
acoustic wave absorption; acoustic wave reflection; bathymetry; inverse problems; oceanographic regions; oceanographic techniques; remote sensing; sediments; sonar imaging; underwater acoustic propagation; ASIAEX; Asian Sea International Acoustics Experiment; Biot model; South China Sea; attenuation rolloff measurements; chirp sonar data; fast wave velocity; grain size; inversion technique; normal incidence reflection data; permeability; porosity; reflection coefficient; remote estimation; sea-bed reflection data; sediment acoustic properties; sediment classification; sediment layering; sediment physical properties; sonar imagery; underwater acoustic propagation path; wave attenuation; Acoustic measurements; Acoustic propagation; Acoustic reflection; Attenuation measurement; Chirp; Data mining; Image generation; Sea measurements; Sediments; Sonar measurements;
fLanguage
English
Journal_Title
Oceanic Engineering, IEEE Journal of
Publisher
ieee
ISSN
0364-9059
Type
jour
DOI
10.1109/JOE.2004.842253
Filename
1388609
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