مجله ژئوفیزیک ایران

مجله ژئوفیزیک ایران

Investigation of anisotropy before and after Sisakht february 17, 2021 earthquake (Mn 5.4) using two independent methods: shear wave splitting and ambient noise interferometry

نوع مقاله : مقاله پژوهشی‌

نویسندگان
1 M.Sc., Institute of Geophysics, University of Tehran, Tehran, Iran
2 Associate Professor, Institute of Geophysics, University of Tehran, Tehran, Iran
3 Postdoctoral research fellow, Southern University of Science and Technology, Shenzhen, Guangdong, China
چکیده
This study investigates the anisotropic characteristics of seismic waves following the Sisakht
earthquake on February 17, 2021, in the southwest of Iran. Our analysis of the anisotropic behavior of the region was conducted using two methodologies, shear wave splitting analysis (SWS) and
ambient noise interferometry (ANI). These methods provided complementary insights into the
subsurface dynamics influenced by seismic activity. The analysis of shear wave splitting used
continuous seismic data from the Kolanja station, which included 237 aftershocks (earthquake that occurs after a larger seismic event) and 63 foreshocks (earthquake that occurs before a larger seismic event). This extensive dataset allows us to analyze seismic wave behavior before and after the
earthquake. According to calculations, there was a significant shift in the orientation of fast-polarized S waves, which shifted from 114.5° prior to the earthquake to 93.46° following the earthquake.
According to this shift, there may have been an alteration in subsurface material properties. This indicates that the earthquake may have impacted the alignment or stress distribution within the crust of the Earth. In addition, we have observed an increase in the time delay between the slow and fast-polarized S waves before and after the earthquake, with the delay increasing from 0.08±0.01 seconds before to 0.1±0.01 seconds after the earthquake. This change highlights modifications in wave propagation characteristics and suggests potential reconfiguration of subsurface structures due to seismic activity. There has been an apparent change in the direction of anisotropy as well, from NW-SE before the earthquake to NE-SW afterward, indicating that the stress fields or material alignments within the crust have been altered. In addition to shear wave splitting, we analyzed ambient noise data from ten seismological stations in the region. By retrieving empirical Green's functions (EGFs) between various station pairs, Anisotropic parameters were derived based on azimuthal variations of Rayleigh wave group velocities. According to the results, our findings of shear wave splitting were corroborated, with an overall anisotropy direction change of approximately 6 degrees across the study area correlating with previous findings. The consistency between the NW-SE direction of anisotropy identified through ambient noise interferometry and shear wave splitting results reinforces the reliability of these results. This study enhances our understanding of how seismic events influence anisotropic properties in the Earth's crust, contributing valuable insights into subsurface dynamics in seismically active regions.

 
کلیدواژه‌ها

موضوعات


عنوان مقاله English

Investigation of anisotropy before and after Sisakht february 17, 2021 earthquake (Mn 5.4) using two independent methods: shear wave splitting and ambient noise interferometry

نویسندگان English

Mohadeseh Mohamadzadeh 1
Ahmad Sadidkhouy 2
Ramin Movaghari 3
1 M.Sc., Institute of Geophysics, University of Tehran, Tehran, Iran
2 Associate Professor, Institute of Geophysics, University of Tehran, Tehran, Iran
3 Postdoctoral research fellow, Southern University of Science and Technology, Shenzhen, Guangdong, China
چکیده English

This study investigates the anisotropic characteristics of seismic waves following the Sisakht
earthquake on February 17, 2021, in the southwest of Iran. Our analysis of the anisotropic behavior of the region was conducted using two methodologies, shear wave splitting analysis (SWS) and
ambient noise interferometry (ANI). These methods provided complementary insights into the
subsurface dynamics influenced by seismic activity. The analysis of shear wave splitting used
continuous seismic data from the Kolanja station, which included 237 aftershocks (earthquake that occurs after a larger seismic event) and 63 foreshocks (earthquake that occurs before a larger seismic event). This extensive dataset allows us to analyze seismic wave behavior before and after the
earthquake. According to calculations, there was a significant shift in the orientation of fast-polarized S waves, which shifted from 114.5° prior to the earthquake to 93.46° following the earthquake.
According to this shift, there may have been an alteration in subsurface material properties. This indicates that the earthquake may have impacted the alignment or stress distribution within the crust of the Earth. In addition, we have observed an increase in the time delay between the slow and fast-polarized S waves before and after the earthquake, with the delay increasing from 0.08±0.01 seconds before to 0.1±0.01 seconds after the earthquake. This change highlights modifications in wave propagation characteristics and suggests potential reconfiguration of subsurface structures due to seismic activity. There has been an apparent change in the direction of anisotropy as well, from NW-SE before the earthquake to NE-SW afterward, indicating that the stress fields or material alignments within the crust have been altered. In addition to shear wave splitting, we analyzed ambient noise data from ten seismological stations in the region. By retrieving empirical Green's functions (EGFs) between various station pairs, Anisotropic parameters were derived based on azimuthal variations of Rayleigh wave group velocities. According to the results, our findings of shear wave splitting were corroborated, with an overall anisotropy direction change of approximately 6 degrees across the study area correlating with previous findings. The consistency between the NW-SE direction of anisotropy identified through ambient noise interferometry and shear wave splitting results reinforces the reliability of these results. This study enhances our understanding of how seismic events influence anisotropic properties in the Earth's crust, contributing valuable insights into subsurface dynamics in seismically active regions.

کلیدواژه‌ها English

Seismic anisotropy, shear wave splitting, ambient noise interferometry, sisakht earthquake
Becker, T. W., Kustowski, B., & Ekström, G. (2008). Radial seismic anisotropy as a constraint for upper mantle rheology. Earth and Planetary Science Letters, 267(1-2), 213-227.
Bensen, G., Ritzwoller, M., Barmin, M., Levshin, A. L., Lin, F., Moschetti, M., Shapiro, N., & Yang, Y. (2007). Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements. Geophysical journal international, 169(3), 1239-1260.
Boness, N. L., & Zoback, M. D. (2006). Mapping stress and structurally controlled crustal shear velocity anisotropy in California. Geology, 34(10), 825-828.
Chao, K., & Peng, Z. (2009). Temporal changes of seismic velocity and anisotropy in the shallow crust induced by the 1999 October 22 M 6.4 Chia-Yi, Taiwan earthquake. Geophysical Journal International, 179(3), 1800-1816.
Crampin, S. (1985). Evaluation of anisotropy by shear-wave splitting. Geophysics, 50(1), 142-152.
Crampin, S., & Gao, Y. (2006). A review of techniques for measuring shear-wave splitting above small earthquakes. Physics of the earth and planetary interiors, 159(1-2), 1-14.
Crampin, S., & Peacock, S. (2008). A review of the current understanding of seismic shear-wave splitting in the Earth’s crust and common fallacies in interpretation. Wave Motion, 45(6), 675-722.
Forsyth, D. W. (1975). The early structural evolution and anisotropy of the oceanic upper mantle. Geophysical Journal International, 43(1), 103-162.
Hatzfeld, D., & Molnar, P. (2010). Comparisons of the kinematics and deep structures of the Zagros and Himalaya and of the Iranian and Tibetan plateaus and geodynamic implications. Reviews of Geophysics, 48(2).
Havskov, J., Bormann, P., & Schweitzer, J. (2012). Seismic source location. In New Manual of seismological observatory practice 2 (NMSOP-2) (pp. 1-36). Deutsches GeoForschungsZentrum GFZ.
Herrmann, R. B. (2013). Computer programs in seismology: An evolving tool for instruction and research. Seismological Research Letters, 84(6), 1081-1088.
Kaviani, A., Mahmoodabadi, M., Rümpker, G., Pilia, S., Tatar, M., Nilfouroushan, F., Yamini-Fard, F., Moradi, A., & Ali, M. Y. (2021). Mantle-flow diversion beneath the Iranian plateau induced by Zagros’ lithospheric keel. Scientific reports, 11(1), 1-12.
Levshin, A. L., Pisarenko, V., & Pogrebinsky, G. (1972). On a frequency-time analysis of oscillations. Annales de geophysique,
Lin, F.-C., Ritzwoller, M. H., Townend, J., Bannister, S., & Savage, M. K. (2007). Ambient noise Rayleigh wave tomography of New Zealand. Geophysical journal international, 170(2), 649-666.
Long, M. D., & Silver, P. G. (2009). Shear wave splitting and mantle anisotropy: Measurements, interpretations, and new directions. Surveys in Geophysics, 30, 407-461.
Mahmoodabadi, M., Yaminifard, F., Tatar, M., & Kaviani, A. (2020). Shear wave velocity structure of the upper-mantle beneath the northern Zagros collision zone revealed by nonlinear teleseismic tomography and Bayesian Monte-Carlo joint inversion of surface wave dispersion and teleseismic P-wave coda. Physics of the Earth and Planetary Interiors, 300, 106444.
Mirzaei, N., Mengtan, G., & Yuntai, C. (1998). Seismic source regionalization for seismic zoning of Iran: major seismotectonic provinces. Journal of earthquake prediction research, 7, 465-495.
Montagner, J. P., & Nataf, H. C. (1986). A simple method for inverting the azimuthal anisotropy of surface waves. Journal of Geophysical Research: Solid Earth, 91(B1), 511-520.
Motaghi, K., Shabanian, E., Tatar, M., Cuffaro, M., & Doglioni, C. (2017). The south Zagros suture zone in teleseismic images. Tectonophysics, 694, 292-301.
Mousavi, S. H., Mirzaei, N., & Shabani, E. (2014). A declustered earthquake catalog for the Iranian Plateau. Annals of geophysics, 57(6).
Mouthereau, F., Lacombe, O., & Vergés, J. (2012). Building the Zagros collisional orogen: timing, strain distribution and the dynamics of Arabia/Eurasia plate convergence. Tectonophysics, 532, 27-60.
Movaghari, R., & Doloei, G. J. (2020). 3-D crustal structure of the Iran plateau using phase velocity ambient noise tomography. Geophysical Journal International, 220(3), 1555-1568.
Movaghari, R., & Javan, D. G. (2018). Upper Crustal Structure of South West of Tehran Using Borehole Ambient Noise Tomography. Journal of the Earth and Space Physics, 44(2). https://doi.org/10.22059/jesphys.2018.237090.1006914
Movaghari, R., Javan Doloei, G., Nowrozi, M., & Sadidkhouy, A. (2014). Velocity structure of south-east of Iran based on ambient noise analysis. Journal of the Earth and Space Physics, 40(2), 17-30.
Movaghari, R., JavanDoloei, G., Yang, Y., Tatar, M., & Sadidkhouy, A. (2021). Crustal radial anisotropy of the Iran plateau inferred from ambient noise tomography. Journal of Geophysical Research: Solid Earth, 126(4), e2020JB020236.
Nicolson, H., Curtis, A., Baptie, B., & Galetti, E. (2012). Seismic interferometry and ambient noise tomography in the British Isles. Proceedings of the Geologists' Association, 123(1), 74-86.
Pastori, M., Valoroso, L., Piccinini, D., Wustefield, A., Zaccarelli, L., Bianco, F., Kendall, M., Di Stefano, R., Chiaraluce, L., & Di Bucci, D. (2012). Crustal fracturing and presence of fluid as revealed by seismic anisotropy: case histories from seismogenic areas in the Apennines (Italy). Bollettino di Geofisica Teorica ed Applicata.
Paul, A., Hatzfeld, D., Kaviani, A., Tatar, M., & Péquegnat, C. (2010). Seismic imaging of the lithospheric structure of the Zagros mountain belt (Iran). Geological Society, London, Special Publications, 330(1), 5-18.
Piccinini, D., Pastori, M., & Margheriti, L. (2013). ANISOMAT+: An automatic tool to retrieve seismic anisotropy from local earthquakes. Computers & geosciences, 56, 62-68.
Roux, P., Sabra, K. G., Kuperman, W. A., & Roux, A. (2005). Ambient noise cross correlation in free space: Theoretical approach. The Journal of the Acoustical Society of America, 117(1), 79-84.
Sadeghi‐Bagherabadi, A., Margheriti, L., Aoudia, A., & Sobouti, F. (2018). Seismic anisotropy and its geodynamic implications in Iran, the easternmost part of the Tethyan Belt. Tectonics, 37(12), 4377-4395.
Shapiro, N. M., & Campillo, M. (2004). Emergence of broadband Rayleigh waves from correlations of the ambient seismic noise. Geophysical Research Letters, 31(7).
Smith, M. L., & Dahlen, F. (1973). The azimuthal dependence of Love and Rayleigh wave propagation in a slightly anisotropic medium. Journal of Geophysical Research, 78(17), 3321-3333.
Vecsey, L., Plomerová, J., & Babuška, V. (2008). Shear-wave splitting measurements—Problems and solutions. Tectonophysics, 462(1-4), 178-196.
Zarunizadeh, Z., Motaghi, K., Movaghari, R., Yang, Y., & Priestley, K. (2024). Seismological constraints on the lithosphere-asthenosphere system beneath the central and east Iranian Plateau. Tectonophysics, 230215.

مقالات آماده انتشار، پذیرفته شده
انتشار آنلاین از 01 شهریور 1404