中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Urban Basin Structure Imaging Based on Dense Arrays and Bayesian Array-Based Coherent Receiver Functions

文献类型:期刊论文

作者Wang, Xin2,3,4; Zhan, Zhongwen4; Zhong, Minyan4; Persaud, Patricia1; Clayton, Robert W.4
刊名JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
出版日期2021-09-01
卷号126期号:9页码:16
关键词Coherent Receiver Function basin structure large-N arrays trans-dimensional inversion array-processing
ISSN号2169-9313
DOI10.1029/2021JB022279
英文摘要Urban basin investigation is crucial for seismic hazard assessment and mitigation. Recent advances in robust nodal-type sensors facilitate the deployment of large-N arrays in urban areas for high-resolution basin imaging. However, arrays typically operate for only one month due to the instruments' battery life, and hence, only record a few teleseismic events. This limits the number of available teleseismic events for traditional receiver function (RF) analysis-the primary method used in sediment-basement interface imaging in passive source seismology. Insufficient stacking of RFs from a limited number of earthquakes could, however, introduce significant biases to the results. In this study, we present a novel Bayesian array-based Coherent Receiver Function (CRF) method that can leverage datasets from short-term dense arrays to constrain basin geometry. We cast the RF deconvolution as a sparsity-promoted inverse problem, in which the deconvolution at a single-station involves the constraints from neighboring stations and multiple events. We solve the inverse problem using a trans-dimensional Markov chain Monte Carlo Bayesian algorithm to find an ensemble of RF solutions, which provides a quantitative way of deciding which features are well resolved and warrant geological interpretation. An application in the northern Los Angeles basin demonstrates the ability of our method to produce reliable and easy-to-interpret RF images. The use of dense seismic networks and the state-of-the-art Bayesian array-based CRF method can provide a robust approach for subsurface structure imaging.
WOS关键词LOS-ANGELES BASIN ; CRUSTAL STRUCTURE ; AMBIENT NOISE ; SOUTHERN CALIFORNIA ; DECONVOLUTION ; INVERSION ; COMPUTATION ; TOMOGRAPHY
资助项目nodal Basin Amplification Seismic INvestigation (BASIN) ; National Science Foundation[1722879] ; National Natural Science Foundation of China[91958209] ; National Natural Science Foundation of China[41774058] ; Young Elite Scientists Sponsorship Program by CAST[2020QNRC001] ; BASIN project - U.S. Geological Survey awards[GS17AP00002] ; BASIN project - U.S. Geological Survey awards[G19AP00015] ; Southern California Earthquake Center awards[18029] ; Southern California Earthquake Center awards[19033] ; NSF[2105320] ; NSF[2105358]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000703087900025
出版者AMER GEOPHYSICAL UNION
资助机构nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; NSF ; NSF ; NSF ; NSF ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; NSF ; NSF ; NSF ; NSF ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; NSF ; NSF ; NSF ; NSF ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; nodal Basin Amplification Seismic INvestigation (BASIN) ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Science Foundation ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; Young Elite Scientists Sponsorship Program by CAST ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; BASIN project - U.S. Geological Survey awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; Southern California Earthquake Center awards ; NSF ; NSF ; NSF ; NSF
源URL[http://ir.iggcas.ac.cn/handle/132A11/102728]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Wang, Xin; Zhan, Zhongwen
作者单位1.Louisiana State Univ, Dept Geol & Geophys, Baton, LA USA
2.CAS Ctr Excellence Deep Earth Sci, Guangzhou, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing, Peoples R China
4.CALTECH, Seismol Lab, Pasadena, CA 91125 USA
推荐引用方式
GB/T 7714
Wang, Xin,Zhan, Zhongwen,Zhong, Minyan,et al. Urban Basin Structure Imaging Based on Dense Arrays and Bayesian Array-Based Coherent Receiver Functions[J]. JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH,2021,126(9):16.
APA Wang, Xin,Zhan, Zhongwen,Zhong, Minyan,Persaud, Patricia,&Clayton, Robert W..(2021).Urban Basin Structure Imaging Based on Dense Arrays and Bayesian Array-Based Coherent Receiver Functions.JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH,126(9),16.
MLA Wang, Xin,et al."Urban Basin Structure Imaging Based on Dense Arrays and Bayesian Array-Based Coherent Receiver Functions".JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH 126.9(2021):16.

入库方式: OAI收割

来源:地质与地球物理研究所

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