Simultaneous Determination of Crustal Thickness and P Wavespeed by   Virtual Deep Seismic Sounding (VDSS)

doi:10.1785/0220160056

CORC > 北京大学 > 地球与空间科学学院

	Simultaneous Determination of Crustal Thickness and P Wavespeed by Virtual Deep Seismic Sounding (VDSS)
	Kang, Dou ; Yu, Chunquan ; Ning, Jieyuan ; Chen, Wang-Ping
刊名	SEISMOLOGICAL RESEARCH LETTERS
	2016
关键词	RECEIVER FUNCTIONS VELOCITY SPECTRUM MOHO DEPTH AUSTRALIA
DOI	10.1785/0220160056
英文摘要	The method of virtual deep seismic sounding (VDSS) uses the large amplitude, postcritical reflection off the Moho, the SsPmp phase, to probe the Moho. In this study, we augment VDSS using the change in differential travel times between phases SsPmp and Ss (T) as a function of distance (moveout) to determine simultaneously both the thickness (H) and overall P wavespeed (V-P) of the crust. Tests using synthetic data show that for typical uncertainties in measuring T (1 standard deviation of +/- 0.2 s), a minimum uncertainty of similar to +/- 1.1 km and +/- 0.06 km/s can be reached for nominal values of H and V-P, respectively. We then demonstrate its utility with field data recorded by two permanent stations in Australia.; Special Fund for Earthquake Research in Public Interest [201408013]; National Science Foundation of China [41130316]; "985" funds through the Chinese Ministry of Education; SCI(E); ARTICLE; njy@pku.edu.cn; 5; 1104-1111; 87
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/456949]
专题	地球与空间科学学院
推荐引用方式 GB/T 7714	Kang, Dou,Yu, Chunquan,Ning, Jieyuan,et al. Simultaneous Determination of Crustal Thickness and P Wavespeed by Virtual Deep Seismic Sounding (VDSS)[J]. SEISMOLOGICAL RESEARCH LETTERS,2016.
APA	Kang, Dou,Yu, Chunquan,Ning, Jieyuan,&Chen, Wang-Ping.(2016).Simultaneous Determination of Crustal Thickness and P Wavespeed by Virtual Deep Seismic Sounding (VDSS).SEISMOLOGICAL RESEARCH LETTERS.
MLA	Kang, Dou,et al."Simultaneous Determination of Crustal Thickness and P Wavespeed by Virtual Deep Seismic Sounding (VDSS)".SEISMOLOGICAL RESEARCH LETTERS (2016).