使用机器学习相位选择器和自动化工作流程的班达弧-澳大利亚板块碰撞带详细地震目录

Chengxin Jiang, Ping Zhang, Malcolm C. A. White, R. Pickle, M. Miller
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引用次数: 13

摘要

东帝汶和东印度尼西亚的构造背景是由海洋岩石圈俯冲到弧-陆碰撞的复杂过渡。为了更好地了解该地区的变形和会聚带结构,我们使用自动处理程序从临时部署的5年连续地震数据中导出了一个新的震源和震级目录。这包括一个机器学习相位选择器、EQTransformer和一个顺序地震关联和定位工作流。我们在2014-2018年期间检测并定位了约19,000个事件,这表明可以使用训练有素的机器学习拾取器从原始地震数据中描述地震序列,以适应复杂的收敛板块设置。这项研究为该地区在临时部署期间提供了最完整的目录,其中包括跨越碰撞带进入弧后的地壳事件的复杂模式,以及丰富的深板块地震活动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Detailed Earthquake Catalog for Banda Arc–Australian Plate Collision Zone Using Machine-Learning Phase Picker and an Automated Workflow
The tectonic setting of Timor–Leste and Eastern Indonesia comprises of a complex transition from oceanic lithosphere subduction to arc-continental collision. To better understand the deformation and convergent-zone structure of the region, we derive a new catalog of earthquake hypocenters and magnitudes from a temporary deployment of five years of continuous seismic data using an automated processing procedure. This includes a machine-learning phase picker, EQTransformer, and a sequential earthquake association and location workflow. We detect and locate ∼19,000 events during 2014–2018, which demonstrates that it is possible to characterize earthquake sequences from raw seismic data using a well-trained machine-learning picker for a complex convergent plate setting. This study provides the most complete catalog available for the region for the duration of the temporary deployment, which includes a complex pattern of crustal events across the collision zone and into the back-arc, as well as abundant deep slab seismicity.
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