Results 1 to 10 of about 56,639 (264)

Coseismic Surface Displacement in the 2019 Ridgecrest Earthquakes: Comparison of Field Measurements and Optical Image Correlation Results

Geochemistry, Geophysics, Geosystems, 2021
A fundamental topic in earthquake studies is understanding the extent to which fault rupture at the surface is localized on primary fault strands as opposed to distributed tens to hundreds of meters away from primary ruptures through off‐fault ...
Ryan D Gold, Christopher B DuRoss, William D Barnhart   +2 more
doaj   +1 more source

Coseismic Displacement and Slip Distribution of the 21 May 2021 Mw 6.1 Earthquake in Yangbi, China Derived From InSAR Observations

Frontiers in Environmental Science, 2022
On 21 May 2021, a Mw 6.1 earthquake struck Yangbi County, Yunnan Province, China. In this study, InSAR data from Sentinel-1 SAR images were processed to image the coseismic deformation fields of the Yangbi earthquake.
Yongsheng Li, Yongsheng Li, Yujiang Li, Kuan Liang, Hao Li, Wenliang Jiang   +5 more
doaj   +1 more source

Trench‐Breaching Rupture of the 2025 Mw 8.8 Kamchatka Earthquake and How It Repeats the 1952 Event

Geophysical Research Letters
The 29 July 2025 Mw 8.8 Kamchatka earthquake generated a trans‐Pacific tsunami. The hypocenter was nearly at the same location as the 1952 great earthquake (Mw 8.8–9.0).
Yifan Zhu, Chao An, Han Yue
doaj   +1 more source

Slip model of the 17 November 2015 Mw = 6.5 Lefkada earthquake from the joint inversion of geodetic and seismic data

Geophysical Research Letters, 2016
We inferred the rupture process of the 2015 Lefkada earthquake by combining teleseismic and near‐field strong motion data, together with static and dynamic GPS displacements. The joint inversion of all data sets revealed a relatively complex slip pattern
Konstantinos Chousianitis, A. Ozgun Konca, G.‐Akis Tselentis, Gerassimos A. Papadopoulos, Michail Gianniou   +4 more
doaj   +1 more source

Multi-Segment Rupture Model of the 2016 Kumamoto Earthquake Revealed by InSAR and GPS Data

Remote Sensing, 2020
The 2016 Kumamoto earthquake, including two large (Mw ≥ 6.0) foreshocks and an Mw 7.0 mainshock, occurred in the Hinagu and Futagawa fault zones in the middle of Kyushu island, Japan.
Zhongqiu He, Ting Chen, Mingce Wang, Yanchong Li   +3 more
doaj   +1 more source

区域宽频地震波形反演所揭示的2022年青海门源MS6.9地震震源破裂过程

Dizhen xuebao, 2023
基于有限断层模型反演方法，利用区域宽频带数据反演了2022年1月青海门源MS6.9地震的震源破裂过程，并结合地质构造与地震重定位结果判断发震断层走向。综合反演结果表明：此次地震的发震断层走向为WNW向，主要以走滑为主；破裂主要发生在震源两侧，可能存在着双侧破裂，在震后2 s和9 s出现破裂极大值，最大错动量约为1.5 m，位于深度约6 km处，发生明显破裂的深度约为16 km，地表破裂长度约20 km；此次地震释放的标量地震矩为1.23×1019 N·m，相当于矩震级MW6.7，地震能量主要在前15 ...
Yinjie Zhu, Yan Luo, Li Zhao
doaj   +1 more source

Source Model and Stress Disturbance of the 2017 Jiuzhaigou Mw 6.5 Earthquake Constrained by InSAR and GPS Measurements

Remote Sensing, 2018
Seismogenic fault geometry, especially for a blind fault, is usually difficult to derive, based only on the distribution of aftershocks and interference fringes of Interferometric Synthetic Aperture Radar (InSAR).
Shunying Hong, Xin Zhou, Kui Zhang, Guojie Meng, Yanfang Dong, Xiaoning Su, Lei Zhang, Shuai Li, Keliang Ding   +8 more
doaj   +1 more source

Spherical-earth finite element model of coseismic slip distribution during the 2010 Mentawai earthquake

Geodesy and Geodynamics, 2021
The moment magnitude (MW) 7.8 earthquake occurred along the Mentawai seismic region of Sunda Trench on 25 October 2010, which is classified as the tsunami earthquake. The GPS inversion results under the assumption of simple horizontal layered medium show
Anindya Sricandra Prasidya, Hidayat Panuntun, Muhammad Iqbal Taftazani   +2 more
doaj   +1 more source

The 2014 Mw 6.1 Ludian Earthquake: The Application of RADARSAT-2 SAR Interferometry and GPS for this Conjugated Ruptured Event

Remote Sensing, 2019
Although the Zhaotong−Ludian fault is a seismically active zone located in the boundary between the Sichuan−Yunnan block and the South China block, it has not experienced a large earthquake greater than Mw 7 since at least 1700.
Yufen Niu, Shuai Wang, Wu Zhu, Qin Zhang, Zhong Lu, Chaoying Zhao, Wei Qu   +6 more
doaj   +1 more source

Adaptive weighting of InSAR and GNSS data for coseismic deformation and slip inversion of the MW 6.4 Meinong earthquake, Taiwan

Geomatics, Natural Hazards & Risk
Empirical weighting is a major source of uncertainty in joint inversion of InSAR and GNSS data. An objective weighting strategy based on Helmert variance component estimation (H-VCE) is applied to the 2016 Mw 6.4 Meinong earthquake in Taiwan.
Tianhong Xia, Yuzhao Li, Xiaoning Su, Zhiyu Gao, Jiale Huang, Yege Cai   +5 more
doaj   +1 more source