Coseismic and early postseismic deformation due to the 2021 M7.4 Maduo (China) earthquake

2021 ◽  
Author(s):  
Yuri Fialko ◽  
Zeyu Jin
2010 ◽  
Vol 168 (5) ◽  
pp. 767-779 ◽  
Author(s):  
Faqi Diao ◽  
Xiong Xiong ◽  
Rongjiang Wang

2009 ◽  
Vol 22 (12) ◽  
pp. 1803-1812 ◽  
Author(s):  
Shao Zhi-Gang ◽  
Fu Rong-Shan ◽  
Jiang Changsheng

2012 ◽  
Vol 532-535 ◽  
pp. 205-214 ◽  
Author(s):  
Ming Hao ◽  
Zheng-Kang Shen ◽  
Qingliang Wang ◽  
Duxin Cui

2020 ◽  
Vol 72 (1) ◽  
Author(s):  
Masayuki Kano ◽  
Shin’ichi Miyazaki ◽  
Yoichi Ishikawa ◽  
Kazuro Hirahara

Abstract Postseismic Global Navigation Satellite System (GNSS) time series followed by megathrust earthquakes can be interpreted as a result of afterslip on the plate interface, especially in its early phase. Afterslip is a stress release process accumulated by adjacent coseismic slip and can be considered a recovery process for future events during earthquake cycles. Spatio-temporal evolution of afterslip often triggers subsequent earthquakes through stress perturbation. Therefore, it is important to quantitatively capture the spatio-temporal evolution of afterslip and related postseismic crustal deformation and to predict their future evolution with a physics-based simulation. We developed an adjoint data assimilation method, which directly assimilates GNSS time series into a physics-based model to optimize the frictional parameters that control the slip behavior on the fault. The developed method was validated with synthetic data. Through the optimization of frictional parameters, the spatial distributions of afterslip could roughly (but not in detail) be reproduced if the observation noise was included. The optimization of frictional parameters reproduced not only the postseismic displacements used for the assimilation, but also improved the prediction skill of the following time series. Then, we applied the developed method to the observed GNSS time series for the first 15 days following the 2003 Tokachi-oki earthquake. The frictional parameters in the afterslip regions were optimized to A–B ~ O(10 kPa), A ~ O(100 kPa), and L ~ O(10 mm). A large afterslip is inferred on the shallower side of the coseismic slip area. The optimized frictional parameters quantitatively predicted the postseismic GNSS time series for the following 15 days. These characteristics can also be detected if the simulation variables can be simultaneously optimized. The developed data assimilation method, which can be directly applied to GNSS time series following megathrust earthquakes, is an effective quantitative evaluation method for assessing risks of subsequent earthquakes and for monitoring the recovery process of megathrust earthquakes.


1992 ◽  
Vol 5 (4) ◽  
pp. 675-682
Author(s):  
Suyun Wang ◽  
Zhenliang Shi ◽  
Wenlin Huan
Keyword(s):  

2006 ◽  
Vol 111 (B5) ◽  
pp. n/a-n/a ◽  
Author(s):  
Fred F. Pollitz ◽  
Marleen Nyst ◽  
Takuya Nishimura ◽  
Wayne Thatcher

2014 ◽  
Vol 65 (2) ◽  
pp. 259-262 ◽  
Author(s):  
Ying Chen ◽  
Wen Wu Shen ◽  
Kamko Gao ◽  
Chow S. Lam ◽  
Weining C. Chang ◽  
...  
Keyword(s):  

2015 ◽  
Vol 42 (9) ◽  
pp. 3305-3312 ◽  
Author(s):  
H. Fattahi ◽  
F. Amelung ◽  
E. Chaussard ◽  
S. Wdowinski

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