A shallow slow slip event in 2018 in the Semidi segment of the Alaska subduction zone detected by machine learning

A shallow slow slip event in 2018 in the Semidi segment of the Alaska subduction zone detected by machine learning
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机器学习检测到 2018 年阿拉斯加俯冲带塞米迪段发生的浅层慢滑事件

DOI:
10.1016/j.epsl.2023.118154
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发表时间:
2023
影响因子:
5.3
通讯作者:
Schwartz, Susan Y.
Schwartz, Susan Y.
中科院分区:
地球科学1区
文献类型:
--
作者:
He, Bing;Wei, XiaoZhuo;Wei, Meng;Shen, Yang;Alvarez, Marco;Schwartz, Susan Y.

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在一些俯冲带的海沟附近的浅层发现了慢滑动事件(SSEs),并与大地震的触发和海啸的缺乏有关。这些浅的SSE总是在水下,因此很难观察它们的时间和空间范围。在这里,我们报告了2018年底阿拉斯加俯冲带西半米迪段附近的一个浅层SSE,这是2021年7月29日Mw8.2 Chignik地震之前的上倾。SSE是通过机器学习方法在来自海上海底压力计阵列的数据中检测到的。这一检测支持模拟SSE变形的空间格局,增加地震活动后,SSE的正库仑应力变化区,缺乏浅滑在Chignik地震,和没有一个相当大的海啸后Chignik地震。我们的方法有可能改变海上SSE的检测方式,并提高俯冲带海啸危险性评估。
Slow slip events (SSEs) have been discovered at shallow depth near the trench in some subduction zones and have been linked to the triggering of large earthquakes and the absence of tsunami. These shallow SSEs are invariably submarine, making it difficult to observe their temporal and spatial extent. Here, we report a shallow SSE in late 2018 near the west Semidi segment of the Alaska subduction zone, up-dip of and preceding the Mw 8.2 Chignik earthquake on July 29th, 2021. The SSE was detected in data from an offshore array of seafloor pressure gauges by a machine learning method. This detection is supported by the spatial pattern of simulated SSE deformation, the increased seismicity after the SSE in the positive Coulomb stress change area, the lack of shallow slip in Chignik earthquake, and the absence of a sizable tsunami following the Chignik earthquake. Our method has the potential to transform the way offshore SSEs are detected and to improve tsunami hazard assessment in subduction zones.
厄瓜多尔中部俯冲带浅层慢滑事件引发强烈界面地震活动
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