Quantifying the uncertainty of geoacoustic parameter estimates for the New Jersey shelf by inverting air gun data.

摘要: This paper describes geoacoustic inversion of low frequency air gun data acquired during an experiment on the New Jersey shelf. Hybrid optimization and Bayesian techniques based matched field processing were applied to multiple shots from three sets recorded by a vertical line array in long-range shallow water geometry. For inversions, full error covariance matrix was estimated set consecutive that had high temporal coherence small spatial variation source position. The effect different information parameter uncertainty estimates investigated using matrix, diagonalized version covariance, diagonal with identical variances. comparison demonstrated provided most reliable estimates. inversions highly sensitive near sea floor parameters, including sediment attenuation, simple single-layer model. values model consistent depth averaged (over wavelength scales) resolution developed extensive ground truth information. interpretation dependence attenuation is also discussed.