首页|The seismicity in the middle section of the Altyn Tagh Fault system revealed by a dense nodal seismic array

The seismicity in the middle section of the Altyn Tagh Fault system revealed by a dense nodal seismic array

扫码查看
The seismicity in the middle section of the Altyn Tagh Fault system revealed by a dense nodal seismic array
The left-lateral Altyn Tagh Fault(ATF)system is the northern boundary of the Qinghai-Xizang Plateau,separating the Tarim Basin and the Qaidam Basin.The middle section of ATF has not recorded any large earthquakes since 1598 AD,so the potential seismic hazard is unclear.We develope an earthquake catalog using continuous waveform data recorded by the Tarim-Altyn-Qaidam dense nodal seismic array from September 17 to November 23,2021 in the middle section of ATF.With the machine learning-based picker,phase association,location,match and locate workflow,we detecte 233 earthquakes with ML-1-3,far more than 6 earthquakes in the routine catalog.Combining with focal mechanism solutions and the local fault structure,we find that seismic events are clustered along the ATF with strike-slip focal mechanisms and on the southern secondary faults with thrusting focal mechanisms.This overall seismic activity in the middle section of the ATF might be due to the northeast-ward transpressional motion of the Qinghai-Xizang Plateau block at the western margin of the Qaidam Basin.

Altyn Tagh FaultMachine learningSeismicityDense seismic array

Shi Yao、Tao Xu、Yingquan Sang、Lingling Ye、Tingwei Yang、Chenglong Wu、Minghui Zhang

展开 >

Key Laboratory of Mineral Resources,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing,100029,China

University of Chinese Academy of Sciences,Beijing,100049,China

Innovation Academy for Earth Science,Chinese Academy of Sciences,Beijing,100029,China

Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,518055,China

School of Information Engineering,Shandong University of Aeronautics,Binzhou,256603,China

展开 >

Altyn Tagh Fault Machine learning Seismicity Dense seismic array

2024

地震研究进展(英文)
中国地震局

地震研究进展(英文)

影响因子:0.032
ISSN:2096-9996
年,卷(期):2024.4(3)