globalchange  > 气候变化与战略
DOI: 10.1016/j.tecto.2021.229003
论文题名:
Crustal strain-rate fields estimated from GNSS data with a Bayesian approach and its correlation to seismic activity in Mainland China
作者: Xiong Z.; Zhuang J.; Zhou S.; Matsu'ura M.; Hao M.; Wang Q.
刊名: Tectonophysics
ISSN: 00401951
出版年: 2021
卷: 815
语种: 英语
中文关键词: 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
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)
Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/170927
Appears in Collections:气候变化与战略

Files in This Item:

There are no files associated with this item.


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

Recommended Citation:
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]. Tectonophysics,2021-01-01,815
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Xiong Z.]'s Articles
[Zhuang J.]'s Articles
[Zhou S.]'s Articles
百度学术
Similar articles in Baidu Scholar
[Xiong Z.]'s Articles
[Zhuang J.]'s Articles
[Zhou S.]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Xiong Z.]‘s Articles
[Zhuang J.]‘s Articles
[Zhou S.]‘s Articles
Related Copyright Policies
Null
收藏/分享
所有评论 (0)
暂无评论
 

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.