2015
DOI: 10.1002/2014jb011560
|View full text |Cite
|
Sign up to set email alerts
|

Fracture‐related wavefield polarization and seismic anisotropy across the Greendale Fault

Abstract: We investigate seismic signatures of fracturing in a newly ruptured strike‐slip fault by determining the wavefield polarization in the New Zealand Canterbury Plains area and across the Greendale Fault, which was responsible for the 3 September 2010 Darfield Mw 7.1 earthquake. Previous studies suggested that fractured rocks in fault damage zones cause directional amplification and ground motion polarization in the fracture‐perpendicular direction as an effect of stiffness anisotropy, and cause velocity anisotro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
15
0

Year Published

2017
2017
2020
2020

Publication Types

Select...
5

Relationship

0
5

Authors

Journals

citations
Cited by 21 publications
(31 citation statements)
references
References 56 publications
(148 reference statements)
0
15
0
Order By: Relevance
“…Although the low-frequency part of the dispersion curves provided information on the deeper part of the model where the resolution capability of our linear arrays is poor, the models in Fig. 14 indicate larger Vs values in the radial N330 direction with respect to the transversal one for depth larger than 30 m. Previous studies dealing with seismic anisotropy in fault zones (Pischiutta et al 2015;Godfrey et al 2017;Vignaroli et al 2018) show that the predominant polarization is connected to a nearly orthogonal direction to the main orientation of fractures and faults. Based on this argument, and taking into account that our investigations cover only the shallow part of the near-surface model, we may infer that the main orientation of the buried fractures in the studied area should approach the transversal orientation (i.e.…”
Section: Figure 14mentioning
confidence: 70%
See 2 more Smart Citations
“…Although the low-frequency part of the dispersion curves provided information on the deeper part of the model where the resolution capability of our linear arrays is poor, the models in Fig. 14 indicate larger Vs values in the radial N330 direction with respect to the transversal one for depth larger than 30 m. Previous studies dealing with seismic anisotropy in fault zones (Pischiutta et al 2015;Godfrey et al 2017;Vignaroli et al 2018) show that the predominant polarization is connected to a nearly orthogonal direction to the main orientation of fractures and faults. Based on this argument, and taking into account that our investigations cover only the shallow part of the near-surface model, we may infer that the main orientation of the buried fractures in the studied area should approach the transversal orientation (i.e.…”
Section: Figure 14mentioning
confidence: 70%
“…indicate larger Vs values in the radial N330 direction with respect to the transversal one for depth larger than 30 m. Previous studies dealing with seismic anisotropy in fault zones (Pischiutta et al . ; Godfrey et al . ; Vignaroli et al .…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Polarization analysis has been applied extensively in the field of earthquake seismology. Rayleigh wave polarization analysis has been used successfully to identify the orientation of sited Ocean Bottom Seismometers, and polarization analysis of ambient noise fields has been successfully applied for mapping anisotropy of the subsurface (e.g .…”
Section: Introductionmentioning
confidence: 99%
“…Rayleigh wave polarization analysis has been used successfully to identify the orientation of sited Ocean Bottom Seismometers, 8 and polarization analysis of ambient noise fields has been successfully applied for mapping anisotropy of the subsurface (e.g. [9][10][11][12] ), as it can be used in areas where natural seismicity is low. 11 Various approaches to the filtering of data using polarization analysis have been suggested.…”
Section: Introductionmentioning
confidence: 99%