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2023年发生在卡赫拉曼马拉什的7.8 - 7.7级地震在一定程度上是可滑动预测的。

The 2023 M 7.8-7.7 Kahramanmaraş earthquakes were loosely slip-predictable.

作者信息

Vavra Ellis, Fialko Yuri, Bulut Fatih, Garagon Aslı, Yalvaç Sefa, Yaltırak Cenk

机构信息

Institute of Geophysics and Planetary Physics, Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA USA.

Geodesy Department, Boğaziçi University, Kandilli Observatory and Earthquake Research Institute, Istanbul, Türkiye.

出版信息

Commun Earth Environ. 2025;6(1):80. doi: 10.1038/s43247-024-01969-5. Epub 2025 Feb 5.

Abstract

Understanding the behavior of large earthquakes over multiple seismic cycles is limited by short time spans of observations compared to recurrence intervals. Most of large instrumentally-recorded earthquakes have occurred on faults lacking well-documented histories of past events. The 2023 M 7.8-7.7 Kahramanmaraş earthquake doublet is exceptional as it ruptured multiple segments of the East Anatolian Fault (EAF) system, where historical records of devastating earthquakes span over two millennia. Here, we use historical earthquake records, measurements of interseismic deformation, and published slip models of the 2023 events to evaluate the recurrence patterns of large earthquakes. We compare slip deficit that accrued on each fault segment since the respective penultimate events to the average coseismic slip of the 2023 doublet. We find that the coseismic slip equaled to or exceeded the accumulated slip deficit, suggesting that the slip-predictable recurrence model applies as a lower bound on strain release during the Kahramanmaraş earthquakes.

摘要

与地震复发间隔相比,观测时间跨度较短限制了我们对多个地震周期内大地震行为的理解。大多数有仪器记录的大地震发生在缺乏过去事件详细记录历史的断层上。2023年发生的7.8 - 7.7级卡赫拉曼马拉什地震双震型是特殊的,因为它使东安纳托利亚断层(EAF)系统的多个段发生破裂,而该地区毁灭性地震的历史记录跨越了两千多年。在此,我们利用历史地震记录、震间变形测量以及已发表的2023年地震滑动模型来评估大地震的复发模式。我们将自各自倒数第二次事件以来每个断层段累积的滑动亏损与2023年双震型的平均同震滑动进行比较。我们发现,同震滑动等于或超过了累积的滑动亏损,这表明滑动可预测复发模型适用于卡赫拉曼马拉什地震期间应变释放的下限。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55be/11798867/81617ca19c80/43247_2024_1969_Fig1_HTML.jpg

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