Rapid Finite-Fault Models for the 2023 Mw 7.8 Kahramanmaraş, Türkiye, Earthquake Sequence

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Maren Böse, S. Ceylan, Jen Andrews, F. Massin, John Clinton, J. Saunders, Orhan Tatar, Meltem Türkoğlu
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Abstract

In the immediate aftermath of devastating earthquakes such as in the 6 February 2023 Kahramanmaraş sequence in southcentral Türkiye, key stakeholders and the public demand timely and accurate earthquake information. Especially for large events, finite-fault models provide important insights into the rupture process and enable interpretation of the observed ground shaking, which can improve situational awareness and facilitate rapid assessment of future hazards. Using strong-motion waveforms recorded during the Kahramanmaraş sequence, we simulate a real-time playback and calculate how a finite-source model computed with the Finite-fault rupture Detector (FinDer) algorithm would evolve for the Mw 7.8 Pazarcık, Mw 7.6 Elbistan, and Mw 6.4 Yayladağı earthquakes. Using template matching FinDer compares observed and predicted ground-motion acceleration amplitudes to determine the orientation and spatial extent of fault rupture. We test both generic crustal and fault-specific templates from ground-motion models and rupture geometries of the east Anatolian and Çardak–Sürgü faults. In the second step, we estimate the seismic slip along the source models from the backprojection of the seismic displacement amplitudes. The algorithms achieve excellent performance for all three earthquakes, and the final source models and slip profiles available within tens of seconds of the rupture nucleation match well with models computed days to weeks after the events occurred. The temporal evolution of the source models for the Pazarcık and Elbistan earthquakes suggests that FinDer can provide insight into the rupture kinematics of large earthquakes. Cascading instrument failures as well as power and data telemetry interruptions during the Pazarcık earthquake led to an early termination of signals at a significant number of near-source stations. We show that FinDer is robust enough to cope with this type of degradation in network performance that can occur in large earthquakes, in general.
2023 年土耳其卡赫拉曼马拉什 7.8 级地震序列的快速有限断层模型
在发生破坏性地震(如 2023 年 2 月 6 日发生在土耳其中南部的卡赫拉曼马拉什序列地震)后,主要利益相关方和公众需要及时、准确的地震信息。特别是对于大型地震事件,有限断层模型提供了对破裂过程的重要见解,并能对观测到的地震动进行解释,从而提高对形势的认识,促进对未来灾害的快速评估。利用卡赫拉曼马拉什地震序列中记录的强震波形,我们模拟了实时回放,并计算了用有限断层破裂探测器(FinDer)算法计算出的有限震源模型在 7.8 级帕扎尔克、7.6 级埃尔比斯坦和 6.4 级亚伊拉达地震中的演化过程。FinDer 利用模板匹配比较观测到的地动加速度振幅和预测的地动加速度振幅,以确定断层破裂的方向和空间范围。我们从地动模型和东安纳托利亚和恰尔达克-苏尔古断层的断裂几何图形中测试了通用地壳模板和特定断层模板。第二步,我们根据地震位移振幅的反推估算震源模型沿线的地震滑移。这些算法在所有三次地震中都取得了优异的性能,在破裂成核后几十秒内得到的最终震源模型和滑移剖面与地震发生数天至数周后计算得到的模型非常吻合。Pazarcık 和 Elbistan 地震震源模型的时间演化表明,FinDer 可以让人们深入了解大地震的破裂运动学。在 Pazarcık 地震期间,连环仪器故障以及电力和数据遥测中断导致大量近震源站的信号提前终止。我们的研究表明,FinDer 的鲁棒性足以应对大地震中可能出现的这种网络性能下降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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