气候变化领域集成服务门户(CCPortal): Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China

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DOI	10.1016/j.tecto.2021.229003
	Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China
	Xiong Z.; Zhuang J.; Zhou S.; Matsu'ura M.; Hao M.; Wang Q.
发表日期	2021
ISSN	00401951
卷号	815
英文摘要	We propose a new Bayesian approach to estimate continuous crustal strain-rate fields from spatially discrete displacement-rate data, based on Global Navigation Satellite System (GNSS) observations, under the prior constraint on spatial flatness of the strain-rate fields. The optimal values of the hyperparameters in the model of strain-rate fields are determined by using Akaike's Bayesian Information Criterion. A methodological merit of this approach is that, by introducing a two-layer Delaunay tessellation technique, the time-consuming computation of strain rates can be omitted through the model estimation process. We apply the Bayesian approach to GNSS displacement-rate data in Mainland China to obtain a unique GNSS velocity field for sub-regions with different tectonic backgrounds. We also examine the correlation between the estimated strain-rate fields and seismic activity by using the Molchan Error Diagram. The results show that the rate of maximum shear strain is positively correlated with the occurrence of earthquakes, indicating the strain rate can be used to augment probabilistic earthquake models for background seismicity forecasting. © 2021 The Author(s)
关键词	Bayesian approach GNSS data Molchan Error Diagram Strain rate field
英文关键词	Air navigation; Bayesian networks; Earthquakes; Global positioning system; Numerical models; Shear strain; Velocity; Akaike's bayesian information criterions; Bayesian approaches; Delaunay tessellations; Displacement rate; Earthquake models; Global Navigation Satellite Systems; Model estimation; Seismic activity; Strain rate; Bayesian analysis; crustal structure; earthquake; GNSS; seismicity; shear strain; strain rate; China
语种	英语
来源期刊	Tectonophysics
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/208094
作者单位	The Institute of Statistical Mathematics, Tokyo, Japan; School of Earth and Space Sciences, Peking University, Beijing, China; Second Monitoring Center, China Earthquake Administration, Xi'an, 710043, China
推荐引用方式 GB/T 7714	Xiong Z.,Zhuang J.,Zhou S.,et al. Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China[J],2021,815.
APA	Xiong Z.,Zhuang J.,Zhou S.,Matsu'ura M.,Hao M.,&Wang Q..(2021).Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China.Tectonophysics,815.
MLA	Xiong Z.,et al."Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China".Tectonophysics 815(2021).