In subduction zones, along-strike and downdip variations in megathrust slip behavior are linked to changes in properties of the subducting and overriding plates. Although marine geophysical methods provide insights into subduction zone structures, most surveys consist of sparse 2D profiles, limiting our understanding of first-order controls. Here, we use active-source seismic data to derive a 3D crustal-scale P-wave velocity model of the Alaska Peninsula subduction zone that encompasses both plates and spans the Semidi segment and SW Kodiak asperity. Our results reveal modest variations within the incoming plate, attributed to a series of fracture zones, seamounts and their associated basement swell, collectively contributing to plate hydration. Basement swell appears to modulate the distribution and type of sediment entering the trench, likely impacting observed variations in slip behavior. The overriding plate exhibits significant heterogeneity. The updip limit and width of the dynamic backstop are similar between the SW Kodiak asperity and eastern Semidi segment, but differ significantly from the Western Semidi segment. These distinctions likely account for differences in earthquake rupture patterns and interseismic coupling among these segments. Additionally, high-velocities in the mid-lower forearc crust coincide with the location of megathrust slip during the Mw 8.2 2021 Chignik event. We interpret these velocities as intracrustal intrusions that contributed to the deep rupture of the 2021 event. Our findings suggest that the contrasting structural and material properties of both the incoming and overriding plates influence the spatially complex and semi-persistent segmentation of the megathrust offshore the Alaska Peninsula.
在俯冲带,巨推滑动行为的沿走向和下倾变化与俯冲板块和凌覆板块的性质变化有关。虽然海洋地球物理方法能让我们深入了解俯冲带结构,但大多数勘测都是稀疏的二维剖面,限制了我们对一阶控制的了解。在此,我们利用主动源地震数据,推导出阿拉斯加半岛俯冲带的三维地壳尺度 P 波速度模型,该模型涵盖两个板块,横跨塞米迪板块和科迪亚克西南翼。我们的研究结果表明,进入的板块内部存在适度的变化,这些变化归因于一系列断裂带、海山及其相关的基底膨胀,它们共同促成了板块的水合作用。基底膨胀似乎调节了进入海沟的沉积物的分布和类型,很可能影响到所观察到的滑动行为的变化。覆盖板块表现出明显的异质性。科迪亚克西南部突出部和塞米迪东部地段的上倾极限和动态逆止点宽度相似,但与塞米迪西部地段有很大差异。这些差异很可能是这些地段的地震破裂模式和地震间耦合存在差异的原因。此外,前弧中下部地壳的高速度与 2021 年奇格尼克 8.2 级地震中的大地壳滑动位置相吻合。我们将这些速度解释为造成 2021 年事件深层断裂的地壳内侵入。我们的研究结果表明,侵入板块和凌驾板块的结构和物质特性对比强烈,影响了阿拉斯加半岛近海大地壳在空间上的复杂和半持久性分段。
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Full waveform inversion (FWI) creates high resolution models of the Earth's subsurface structures from seismic waveform data. Due to the non-linearity and non-uniqueness of FWI problems, finding globally best-fitting model solutions is not necessarily desirable since they fit noise as well as the desired signal in data. Bayesian FWI calculates a so-called posterior probability distribution function, which describes all possible model solutions and their uncertainties. In this paper, we solve Bayesian FWI using variational inference, and propose a new methodology called physically structured variational inference, in which a physics-based structure is imposed on the variational distribution. In a simple example motivated by prior information from imaging inverse problems, we include parameter correlations between pairs of spatial locations within a dominant wavelength of each other, and set other correlations to zero. This makes the method far more efficient compared to other variational methods in terms of both memory requirements and computation, at the cost of some loss of generality in the solution found. We demonstrate the proposed method with a 2D acoustic FWI scenario, and compare the results with those obtained using other methods. This verifies that the method can produce accurate statistical information about the posterior distribution with hugely improved efficiency (in our FWI example, 1 order of magnitude reduction in computation). We further demonstrate that despite the possible reduction in generality of the solution, the posterior uncertainties can be used to solve post-inversion interrogation problems connected to estimating volumes of subsurface reservoirs and of stored