Estimating Shallow Water Bottom Geo-Acoustic Parameters Using Ambient Noise

Tang, Dajun

doi:10.1007/978-94-010-0626-2_19

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Considerable progress has been made toward establishing a geoacoustic description of the ECS seabed [3], [7]- [15], based on complementary approaches to inversion. It is important to keep the diversity of acoustic field measurements in mind, representing one-way propagation and two-way reverberation, made at frequencies ranging from (10-10000) Hz, that have been utilized for these geoacoustic inversions.…”

Section: Overview Of Results Of Ocean Acoustic Experimentsmentioning

confidence: 99%

“…Such measurements interrogate the seabed in fundamentally different ways. Furthermore, the different approaches to geoacoustic inversion embodied by the degree of parsimony inherent in the inversion forward model, e.g., a half-space representation for the seabed as in [10]- [13], [15] versus a structured seabed representation that includes layers and gradients as in [3], [7]- [9], [14], invariably lead to seemingly different inversion goals and subsequent geoacoustic models for the seabed. (A lucid clarification concerning the basis of differing inversion goals is given in [16].)…”

Section: Overview Of Results Of Ocean Acoustic Experimentsmentioning

confidence: 99%

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Overview of Results from the Asian Seas International Acoustics Experiment in the East China Sea

Dahl

Zhang

Miller

et al. 2004

IEEE J. Oceanic Eng.

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Section: Overview Of Results Of Ocean Acoustic Experimentsmentioning

confidence: 99%

Section: Overview Of Results Of Ocean Acoustic Experimentsmentioning

confidence: 99%

Overview of Results from the Asian Seas International Acoustics Experiment in the East China Sea

Dahl

Zhang

Miller

et al. 2004

IEEE J. Oceanic Eng.

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Description of the Hamilton–Bachman Smart Rule (HBSR) Inversion Technique (IT) Applied to Impulsive Source Data From the 2001 IT Workshop

Wilson¹,

Fabre²,

Null³

2004

IEEE J. Oceanic Eng.

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Mid-to-High-Frequency Bottom Loss in the East China Sea

Choi

Dahl

2004

IEEE J. Oceanic Eng.

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Public reporting burden for this collection of information is estimated to average 1 hour per response, inclng the time for reviewing instructions, searching existing data sources, gathering and maintaining tie data needed, and cornpleting and reviewing the collection of informaition. Bottom loss measurements made in the East China Sea in 2001 as part of the Asian Sea International Acoustics Experiment as a function of frequency (2-20 kHz) and seabed grazing angle (150-240) are presented. The measurements are interpreted as estimates of the modulus of the plane wave reflection coefficient, and data are compared to predictions using a reflection coefficient model, based on a two-layered sediment for which sound speed in the surficial sediment layer is allowed to vary as a linear k 2 profile, where k is acoustic wave number. The region below this layer is modeled as a half-space with constant density and sound speed. The reflection coefficient model is driven by eight geoacoustic parameters. This parameter set produced model curves that agreed reasonably well with observations of bottom loss over the entire frequency range. Since this data set does not provide detailed information about sediment structure for depths beyond about 3 m, the geoacoustic parameter set is more properly viewed as description of the sediment layer and sediments in the underlying 2 m. Similarly, a self-consistent construction of a geoacoustic model for the East China Sea should necessarily amalgamate the mid to high frequency results given here with results obtained at lower frequencies.

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Estimating Shallow Water Bottom Geo-Acoustic Parameters Using Ambient Noise

Cited by 4 publications

References 5 publications

Overview of Results from the Asian Seas International Acoustics Experiment in the East China Sea

Overview of Results from the Asian Seas International Acoustics Experiment in the East China Sea

Description of the Hamilton–Bachman Smart Rule (HBSR) Inversion Technique (IT) Applied to Impulsive Source Data From the 2001 IT Workshop

Mid-to-High-Frequency Bottom Loss in the East China Sea

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