Spatiotemporal Change in the Stress State Around the Hypocentral Area of the 2016 Kumamoto Earthquake Sequence

作者
Ayaho Mitsuoka,Azusa Shito,Satoshi Matsumoto,Yusuke Yamashita,Manami Nakamoto,S. Sakai,Yoshihisa Iio,Hiroshi Shimizu,Kazuhiko Goto,Tomomi Okada,Mako Ohzono,Yoshiko Yamanaka,Masahiro Kosuga,Masayuki Yoshimi,Youichi Asano
出处
期刊:Journal Of Geophysical Research: Solid Earth [Wiley]
卷期号:125 (9) 被引量:17
标识
DOI:10.1029/2019jb018515
摘要

Abstract For understanding the physical condition of earthquake generation, we estimated the deviatoric stress fields and fault planes of the large earthquakes in the hypocentral area of the 2016 Kumamoto earthquake sequence, central Kyushu, Japan. We analyzed precise hypocenters and their focal mechanism tensors from 1993 to 2017 and found the complex fault planes of the largest foreshock and the mainshock during the sequence. The faults of large earthquakes could not be detected from the preceding high seismic activity in the area to the mainshock. The analyses of the deviatoric stress tensors obtained from pre‐ and post‐sequence seismic moment tensor data revealed the temporal change in the deviatoric stress field at the vicinity of the hypocenters of the largest foreshock and the mainshock. Because of this temporal change, we found that the stress level of the deviatoric stress field in this region is the same level as the co‐seismic stress change caused by the two large earthquakes. We attempted to estimate the differential stress at the region using a new method, which can be applied to the heterogeneous stress fields. The average value of the estimated differential stresses in the region was 15.4 ± 10 MPa. The rotation of the principal stress axes and the low differential stress are important information to understand the physical processes of the earthquake generation and the state of the crustal stress.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
研友_VZG7GZ应助kkkk采纳,获得10
刚刚
1秒前
tree完成签到,获得积分10
2秒前
3秒前
昭荃完成签到 ,获得积分0
4秒前
5秒前
6秒前
哈西力工发布了新的文献求助10
7秒前
CipherSage应助leecarp采纳,获得10
7秒前
xuan发布了新的文献求助10
8秒前
8秒前
温柔的曼易完成签到,获得积分10
9秒前
11秒前
jxiaonan完成签到,获得积分10
11秒前
yangquanquan发布了新的文献求助10
12秒前
12秒前
斯文败类应助木野狐采纳,获得10
12秒前
拉长的谷蕊完成签到 ,获得积分10
12秒前
XMQ发布了新的文献求助10
13秒前
15秒前
桐桐应助科研通管家采纳,获得10
15秒前
Lucas应助科研通管家采纳,获得10
16秒前
小马甲应助科研通管家采纳,获得100
16秒前
852应助科研通管家采纳,获得10
16秒前
酷波er应助科研通管家采纳,获得10
16秒前
16秒前
搜集达人应助科研通管家采纳,获得10
16秒前
16秒前
xing_xing应助科研通管家采纳,获得20
16秒前
深情安青应助科研通管家采纳,获得10
17秒前
NCEPUHIT应助科研通管家采纳,获得20
17秒前
17秒前
17秒前
17秒前
苏苏发布了新的文献求助10
19秒前
20秒前
20秒前
23秒前
yy发布了新的文献求助30
23秒前
24秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583572
求助须知:如何正确求助?哪些是违规求助? 9162318
关于积分的说明 19606672
捐赠科研通 7165624
什么是DOI,文献DOI怎么找? 3266302
关于科研通互助平台的介绍 2431200
邀请新用户注册赠送积分活动 2257778