This paper considers the use of broadband noise from a ship-of-opportunity in statistical inference for estimating geoacoustic parameters of a layered mud-sand seabed model via trans-dimensional (trans-D) Bayesian matched-field inversion, with applications to data collected with a bottom-moored horizontal array in the 2017 Seabed Characterization Experiment conducted on the New England Shelf. The trans-D approach applied here samples probabilistically over possible model parameterizations (different numbers of seabed layer interfaces), and provides quantitative uncertainty estimates of seabed geoacoustic profiles. Inversions are carried out for acoustic data sets collected both when the ship-of-opportunity (a container ship) was oriented with its bow and with its stern towards the array. A third inversion involved combining data from a series of segments along the ship track. Inversion results image an upper sediment layer 3–7 m thick with low-sound speed (close to the water sound speed) over higher speed sediment, with indication of a transition layer above the interface. Sediment parameter estimates from the inversions are in good agreement with direct measurements from sediment cores and other geophysical data collected in the experiment area.

中文翻译：

---

层状泥沙海床地声剖面的机会船噪声反演

本文考虑在统计推断中使用来自机会之船的宽带噪声，通过跨维 (trans-D) 贝叶斯匹配场反演估算分层泥沙海床模型的地声参数，并应用于收集的数据2017 年在新英格兰大陆架上进行的海底表征实验中使用底部系泊水平阵列。这里应用的 trans-D 方法对可能的模型参数化（不同数量的海底层界面）进行概率采样，并提供海底地声剖面的定量不确定性估计。当机会之船（集装箱船）的船头和船尾朝向阵列时，对收集的声学数据集进行反演。第三个反演涉及组合来自沿船轨迹的一系列段的数据。反演结果显示上层沉积物 3-7 m 厚，在高速沉积物上具有低声速（接近水声速），并指示界面上方有过渡层。反演的沉积物参数估计值与沉积物岩心的直接测量值和实验区收集的其他地球物理数据非常吻合。