Rapid source inversions of the 2023 SE Türkiye earthquakes with teleseismic and strong-motion data

IF 1.2 4区 地球科学 Q3 Earth and Planetary Sciences Earthquake Science Pub Date : 2023-08-01 DOI:10.1016/j.eqs.2023.05.004
Chenyu Xu , Yong Zhang , Sibo Hua , Xu Zhang , Lisheng Xu , Yuntai Chen , Tuncay Taymaz
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引用次数: 2

Abstract

We conducted rapid inversions of rupture process for the 2023 earthquake doublet occurred in SE Türkiye, the first with a magnitude of MW7.8 and the second with a magnitude of MW7.6, using teleseismic and strong-motion data. The teleseismic rupture models of the both events were obtained approximately 88 and 55 minutes after their occurrences, respectively. The rupture models indicated that the first event was an asymmetric bilateral event with ruptures mainly propagating to the northeast, while the second one was a unilateral event with ruptures propagating to the west. This information could be useful in locating the meizoseismal areas. Compared with teleseismic models, the strong-motion models showed relatively higher resolution. A noticeable difference was found for the MW7.6 earthquake, for which the strong-motion models shows a bilateral event, rather than a unilateral event, but the dominant rupture direction is still westward. Nevertheless, all strong-motion models are consistent with the teleseismic models in terms of magnitudes, durations, and dominant rupture directions. This suggests that both teleseismic and strong-motion data can be used for fast determination of major source characteristics. In contrast, the strong-motion data would be preferable in future emergency responses since they are recorded earlier and have a better resolution ability on the source ruptures.

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2023年土耳其东南部地震的远程地震和强震数据快速震源反演
利用远震和强震资料,对2023年震级分别为MW7.8级和MW7.6级的东南基耶岛东南部地震双重波的破裂过程进行了快速反演。两次地震的远震破裂模型分别在发生后约88分钟和55分钟得到。断裂模型表明,第一次地震为非对称双侧地震,破裂主要向东北方向传播;第二次地震为单侧地震,破裂主要向西传播。这一信息对定位次震区是有用的。与远震模型相比,强震模型具有较高的分辨率。在MW7.6级地震中发现了明显的差异,强震模型显示了一个双侧事件,而不是单侧事件,但主要的破裂方向仍然是向西。然而,所有强震模型在震级、持续时间和主要破裂方向上都与远震模型一致。这表明,远震和强震资料都可以用于快速确定主要震源特征。相反,强震数据记录较早,对震源破裂具有较好的分辨能力,因此在今后的应急响应中更受欢迎。
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来源期刊
Earthquake Science
Earthquake Science GEOCHEMISTRY & GEOPHYSICS-
CiteScore
1.10
自引率
8.30%
发文量
42
审稿时长
3 months
期刊介绍: Earthquake Science (EQS) aims to publish high-quality, original, peer-reviewed articles on earthquake-related research subjects. It is an English international journal sponsored by the Seismological Society of China and the Institute of Geophysics, China Earthquake Administration. The topics include, but not limited to, the following ● Seismic sources of all kinds. ● Earth structure at all scales. ● Seismotectonics. ● New methods and theoretical seismology. ● Strong ground motion. ● Seismic phenomena of all kinds. ● Seismic hazards, earthquake forecasting and prediction. ● Seismic instrumentation. ● Significant recent or past seismic events. ● Documentation of recent seismic events or important observations. ● Descriptions of field deployments, new methods, and available software tools. The types of manuscripts include the following. There is no length requirement, except for the Short Notes. 【Articles】 Original contributions that have not been published elsewhere. 【Short Notes】 Short papers of recent events or topics that warrant rapid peer reviews and publications. Limited to 4 publication pages. 【Rapid Communications】 Significant contributions that warrant rapid peer reviews and publications. 【Review Articles】Review articles are by invitation only. Please contact the editorial office and editors for possible proposals. 【Toolboxes】 Descriptions of novel numerical methods and associated computer codes. 【Data Products】 Documentation of datasets of various kinds that are interested to the community and available for open access (field data, processed data, synthetic data, or models). 【Opinions】Views on important topics and future directions in earthquake science. 【Comments and Replies】Commentaries on a recently published EQS paper is welcome. The authors of the paper commented will be invited to reply. Both the Comment and the Reply are subject to peer review.
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