南方科技大学知识苑(SUSTech KC): Inversion of ambient seismic noise based on particle swarm optimization combined with local optimization

题名	Inversion of ambient seismic noise based on particle swarm optimization combined with local optimization
作者	Gong Feng 1,2; Chen XiaoFei1,4 ; Fan YouHua 2; Liu XueFeng 3; Tang HaiBing 5
通讯作者	Chen XiaoFei
发表日期	2023-06-01
DOI	10.6038/cjg2022P0859
发表期刊	CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 影响因子和分区
ISSN	0001-5733
卷号	66 期号:6
摘要	Extracting the Rayleigh wave dispersion curve from the ambient seismic noise and obtaining the shear wave velocity structure through inversion has been extensively used in large-scale underground structure detection and small-scale engineering exploration. The inversion misfit function based on the dispersion function can effectively solve the mode misjudgment problem in the joint inversion of multi-mode dispersion curves. However, its widely distributed local extrema lead to more serious multi-solution when searching in a wide range of parameters. It is sometimes difficult to obtain the optimal solution, and an optimization algorithm with strong global search performance is required. This paper proposes a particle swarm optimization algorithm combined with local optimization (PSOG). It introduces a local method in the particle iteration process to increase the diversity of the population, avoid falling into local extreme values and speed up the convergence speed. In order to verify the effectiveness of the new algorithm, theoretical synthetic data are inverted, combined with the objective function based on the secular function. The results show that the stability and accuracy of PSOG algorithm are significantly improved compared with the traditional algorithm. The ambient seismic noise of the Suzhou River region in Shanghai was processed, and the weak layer caused by the cutting of the ancient channel was successfully imaged. The combination of the PSOG algorithm and the new inversion misfit function has great potential in the engineering application of ambient seismic noise exploration.
关键词	Dispersion curve Misfit function of inversion Optimization algorithm
相关链接	[来源记录]
收录类别	SCI
语种	中文
学校署名	第一 ; 通讯
WOS研究方向	Geochemistry & Geophysics
WOS类目	Geochemistry & Geophysics
WOS记录号	WOS:001004188400023
出版者	SCIENCE PRESS
ESI学科分类	GEOSCIENCES
来源库	Web of Science
引用统计	被引频次[WOS]：0
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/549181
专题	理学院_地球与空间科学系
作者单位	1.Southern Univ Sci & Technol, Shenzhen Key Lab Deep Offshore Oil & Gas Explorat, Shenzhen 518055, Peoples R China 2.Harbin Inst Technol, Sch Sci, Shenzhen 518055, Peoples R China 3.Civil Aviat Univ China, Aviat Engn Inst, Tianjin 300300, Peoples R China 4.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China 5.Shenzhen Municipal Transportat Bur, Guangming Adm, Shenzhen 518055, Peoples R China
第一作者单位	南方科技大学
通讯作者单位	南方科技大学; 地球与空间科学系
第一作者的第一单位	南方科技大学
推荐引用方式 GB/T 7714	Gong Feng,Chen XiaoFei,Fan YouHua,et al. Inversion of ambient seismic noise based on particle swarm optimization combined with local optimization[J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,2023,66(6).
APA	Gong Feng,Chen XiaoFei,Fan YouHua,Liu XueFeng,&Tang HaiBing.(2023).Inversion of ambient seismic noise based on particle swarm optimization combined with local optimization.CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION,66(6).
MLA	Gong Feng,et al."Inversion of ambient seismic noise based on particle swarm optimization combined with local optimization".CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION 66.6(2023).