Thousand‐Kilometer DAS Array Reveals an Uncatalogued Magnitude‐5 Dynamically Triggered Event After the 2023 Turkey Earthquake
Abstract
Large earthquakes can trigger smaller seismic events, even at significant distances. The process of earthquake triggering offers valuable insights into the evolution of local stress states, deepening our understanding of the mechanisms of earthquake nucleation. However, our ability to detect these triggered events is limited by the quality and spatial density of local seismometers, posing significant challenges if the triggered event is hidden in the signal of a nearby larger earthquake. Distributed acoustic sensing (DAS) has the potential to enhance the monitoring capability of triggered earthquakes through its high spatial sampling and large spatial coverage. Here, we report on an uncatalogued magnitude (M) 5.1 event in northeast Turkey, which was likely dynamically and instantaneously triggered by the 2023 M7.8 earthquake in southeast Turkey, located 400 km away. This event was initially discovered on ∼1,100 km of active DAS recordings that are part of an 1,850-km linear array. Subsequent validation using local seismometers confirmed the event's precise time, location, and magnitude. Interestingly, this dynamically triggered event exhibited precursory signals preceding its P arrivals on the nearby seismometers. It can be interpreted as the signal from other nearby, uncatalogued, smaller triggered events. Our results highlight the potential of high-spatial-density DAS in enhancing the local-scale detection and the detailed analysis of earthquake triggering.
Copyright and License
© 2024. American Geophysical Union.
Acknowledgement
We thank Victor Yartsev for his help in preparing the raw DAS data. The manuscript has been enriched by the insightful comments from an anonymous reviewer, Debi Kilb, and editor Rachel Abercrombie. Additionally, we extend our thanks to Zhigang Peng, Zhe Jia, Yan Yang, and Weiqiang Zhu for their constructive discussions. This study is supported by the United States National Science Foundation (NSF, Grant EAR-1848166), the United States Geological Survey (USGS, Grant G23AP00111), the Gordon and Betty Moore Foundation, and the Braun Trust.
Contributions
Conceptualization: Qiushi Zhai, Zhongwen Zhan
Data curation: J. Andres Chavarria
Formal analysis: Qiushi ZhaiF
unding acquisition: Zhongwen Zhan
Investigation: Qiushi Zhai
Methodology: Qiushi Zhai
Resources: Zhongwen Zhan
Supervision: Zhongwen Zhan, J. Andres Chavarria
Writing – original draft: Qiushi Zhai
Writing – review & editing: Qiushi Zhai, Zhongwen Zhan, J. Andres Chavarria
Data Availability
The necessary data including phase arrivals, peak ground accelerations, and the earthquake catalog to reproduce the main results are publicly available at Zhai (2023). The seismic waveforms of the Turkish National Strong Motion Network (Disaster and Emergency Management Authority, 1973), which is operated by Turkey's Disaster and Emergency Management Authority (AFAD), are publicly available from the Engineering Strong Motion Database by ORFEUS (Luzi et al., 2020) at https://esm-db.eu/#/event/INT-20230206_0000008. The DAS data supporting this research can be accessed from Luna-OptaSense at https://www.optasense.com/real-time-pipeline-monitoring, with restrictions on necessary licenses and agreements, and are not accessible to the public due to international energy security concerns. The earthquake location is calculated using NonLinLoc (Lomax et al., 2000, 2014), publicly available under the LGPL GNU license at https://github.com/alomax/NonLinLoc. The static Coulomb stress changes are calculated using Coulomb version 3 (Toda et al., 2011), publicly available under the Coulomb license at https://www.usgs.gov/node/279387. All links were last accessed in August 2023.
Conflict of Interest
The authors declare no conflicts of interest relevant to this study.
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Additional details
- ISSN
- 2169-9356
- National Science Foundation
- EAR‐1848166
- United States Geological Survey
- G23AP00111
- Gordon and Betty Moore Foundation
- Caltech groups
- Division of Geological and Planetary Sciences, Seismological Laboratory