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Bayesian geoacoustic inversion of single hydrophone light bulb data using warping dispersion analysis
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10.1121/1.4809678
/content/asa/journal/jasa/134/1/10.1121/1.4809678
http://aip.metastore.ingenta.com/content/asa/journal/jasa/134/1/10.1121/1.4809678

Figures

Image of FIG. 1.
FIG. 1.

Chirp sonar data along the source/receiver track obtained during the experiment (Ref. ).

Image of FIG. 2.
FIG. 2.

Sound-speed profile in the water column measured on CTD41 during the SW06 experiment.

Image of FIG. 3.
FIG. 3.

(Color online) Experimental signals. (a) Spectrogram of the received signal and (b) spectrogram of the corresponding warped signal (arbitrary linear scale). Estimated (black) and modeled (white) dispersion curves are superimposed on the received signal spectrogram in (a). On each spectrogram, white numbers indicate the mode numbers.

Image of FIG. 4.
FIG. 4.

Dispersion curves of the received signal. The circles correspond to the estimated dispersion curves using warping while the continuous lines show the curves predicted for the MAP model estimate.

Image of FIG. 5.
FIG. 5.

(Color online) Data error estimation for mode 1. (a) Residual and (b) corresponding data error covariance matrix (arbitrary linear scale). Other modes show similar results.

Image of FIG. 6.
FIG. 6.

Parametrization study that takes into account data error statistics. Models are B: basement only;  + 1: one layer over basement;  + 2: two layers over basement. For display purposes, misfit and BIC are shifted so that their minimum value is zero.

Image of FIG. 7.
FIG. 7.

Marginal probability densities from Bayesian inversion of the SW06 light bulb data.

Image of FIG. 8.
FIG. 8.

(Color online) Selected joint marginal probability densities. Each distribution is normalized independently (arbitrary linear scale).

Image of FIG. 9.
FIG. 9.

(Color online) Marginal probability profiles: (a) Sound speed and (b) density. Each distribution is globally normalized over 0 to 50 m (arbitrary linear scale).

Tables

Generic image for table
TABLE I.

Inversion parameter list. Prior information is uniform over the given search bound. The last two columns give the MAP estimation and the 95% HPD interval for an environment consisting of a single layer over a basement.

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TABLE II.

Data error statistics: Runs test and KS test -values for the standardized residuals after covariance weighted inversion.

Generic image for table
TABLE III.

Comparison of the parameters estimated here (given in terms of 95% HPD interval) with other studies. When two sound speed values are separated by a dash, the given values constitute the estimation range. When two sound speed values are separated by a single slash, inversion was carried out assuming a sound speed gradient in the layer: The first value is the estimated sound speed at the top of the layer while the second one is the estimated sound speed at the bottom of the layer. When two sound speed values are separated by a double slash, inversion was carried out assuming two iso-speed layers over a basement; the first value is the estimated sound speed in the first layer while the second one is the estimated sound speed in the second layer. For layer width estimation, a dash signifies that this information was required , a cross indicates that it was not properly estimated and HSB means that inversion was carried out assuming a half space bottom model.

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/content/asa/journal/jasa/134/1/10.1121/1.4809678
2013-07-11
2014-04-21
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Bayesian geoacoustic inversion of single hydrophone light bulb data using warping dispersion analysis
http://aip.metastore.ingenta.com/content/asa/journal/jasa/134/1/10.1121/1.4809678
10.1121/1.4809678
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