融合InSAR/GPS观测资料的2017年九寨沟MS7.0地震同震变形特征

doi:10.12196/j.issn.1000-3274.2024.04.008

地震 ›› 2024, Vol. 44 ›› Issue (4): 116-130.doi: 10.12196/j.issn.1000-3274.2024.04.008

融合InSAR/GPS观测资料的2017年九寨沟M_S7.0地震同震变形特征

张京中¹, 苏小宁^1,2, 孟国杰³, 鲍庆华¹, 黄家乐¹, 孔德强¹, 赵天祥¹

1.兰州交通大学测绘与地理信息学院, 兰州 730070;
2.地理国情监测技术应用国家地方联合工程研究中心, 兰州 730070;
3.中国地震局地震预测研究所, 北京 100036

收稿日期:2023-11-28 修回日期:2024-03-28 出版日期:2024-10-31 发布日期:2024-12-16
通讯作者: 苏小宁, 教授。 E-mail: suxiaoning_666@lzjtu.edu.cn
作者简介:张京中(1996-), 男, 甘肃白银人, 硕士研究生, 主要从事InSAR形变监测研究。
基金资助:
国家自然科学基金项目(42174003,41604007); 甘肃省杰出青年基金项目(22JR5RA315); 兰州交通大学青年科学基金项目(2021003)

Coseismic Deformation Characteristics of the 2017 Jiuzhaigou M_S7.0 Earthquake Constrained by InSAR and GPS Observations

ZHANG Jing-zhong¹, SU Xiao-ning^1,2, MENG Guo-jie³, BAO Qing-hua¹, HUANG Jia-le¹, KONG De-qiang¹, ZHAO Tian-xiang¹

1. Faculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, China;
2. National-local Joint Engineering Research Center of Technologies and Applications for National Geographic State Monitoring, Lanzhou 730070, China;
3. Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China

Received:2023-11-28 Revised:2024-03-28 Online:2024-10-31 Published:2024-12-16

摘要/Abstract

摘要： 地震学和InSAR观测反演的2017年九寨沟M_S7.0地震震源机制以走滑运动为主, 但近场GPS观测的同震位移显示在发震断层北段存在显著的倾滑特征。鉴于此, 本文融合GPS和InSAR观测数据, 获取此次地震丰富的地表同震形变, 基于贝叶斯反演发震断层的几何模型, 对比分析仅GPS、仅InSAR和融合GPS/InSAR三种数据源反演的同震滑动分布的差异性特征, 从而给出此次地震的最优滑动分布模型。结果显示, 最优模型发震断层走向150°, 倾角56°, 最大滑动量约1.3 m, 位于地下深度5.3 km处, 矩震级M_W6.5, 特别是加入近场GPS同震位移后, 结果显示发震断层除左旋走滑之外, 在其北段还存在倾滑分量。根据震中区域虎牙断裂和塔藏断裂等主要活动断裂的空间分布, 本文推测发震断层北段的倾滑性质可能是为了维持塔藏断裂和虎牙断裂交会区域的运动平衡所产生。

关键词: 2017年九寨沟M_S7.0地震, InSAR, GPS, 同震滑动分布

Abstract: The focal mechanism of the 2017 Jiuzhaigou M_S7.0 earthquake, inverted through seismic wave and InSAR observations, was mainly strike-slip, but the coseismic displacement observed by near-field GPS showed significant dip-slip characteristics in the northern section of the seismic fault. In view of this, we combines GPS and InSAR observation data to obtain rich coseismic deformation. Based on the Bayesian inversion of the geometric model of the fault, it compares and analyzes the differences in the coseismic slip distribution inverted from three data sources: GPS only, InSAR only, and fused GPS/InSAR. Thereby, it gives the optimal slip distribution model of this earthquake. The results show that the optimal model has a strike of 150° for the seismic fault, an inclination of 56°, a maximum slip of about 1.3 m, located at a depth of 5.3 km underground, and a moment magnitude of M_W6.5. Especially after adding the coseismic displacement of near-field GPS, the results show that in addition to the left-lateral strike-slip, there is also a dip-slip component in the northern section of the seismic fault. Based on the spatial distribution of the main active faults in the epicenter area, such as the Huya Fault and the Tazang Fault, this article speculates that the dip-slip property in the northern section of the seismic fault may be caused by maintaining the motion balance in the intersection area of the Tazang Fault and the Huya Fault.

Key words: The 2017 Jiuzhaigou M_S7.0 earthquake, InSAR, GPS, Coseismic slip distribution

中图分类号:

P315.7

张京中, 苏小宁, 孟国杰, 鲍庆华, 黄家乐, 孔德强, 赵天祥. 融合InSAR/GPS观测资料的2017年九寨沟M_S7.0地震同震变形特征[J]. 地震, 2024, 44(4): 116-130.

ZHANG Jing-zhong, SU Xiao-ning, MENG Guo-jie, BAO Qing-hua, HUANG Jia-le, KONG De-qiang, ZHAO Tian-xiang. Coseismic Deformation Characteristics of the 2017 Jiuzhaigou M_S7.0 Earthquake Constrained by InSAR and GPS Observations[J]. EARTHQUAKE, 2024, 44(4): 116-130.

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融合InSAR/GPS观测资料的2017年九寨沟M_S7.0地震同震变形特征

Coseismic Deformation Characteristics of the 2017 Jiuzhaigou M_S7.0 Earthquake Constrained by InSAR and GPS Observations

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融合InSAR/GPS观测资料的2017年九寨沟MS7.0地震同震变形特征

Coseismic Deformation Characteristics of the 2017 Jiuzhaigou MS7.0 Earthquake Constrained by InSAR and GPS Observations

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融合InSAR/GPS观测资料的2017年九寨沟M_S7.0地震同震变形特征

Coseismic Deformation Characteristics of the 2017 Jiuzhaigou M_S7.0 Earthquake Constrained by InSAR and GPS Observations