Ambient Noise Tomography for Determining the Velocity Model of Rayleigh Wave in Java Island, Indonesia

International Journal of Applied Physics
© 2018 by SSRG - IJAP Journal
Volume 5 Issue 1
Year of Publication : 2018
Authors : Muhajir Anshori, Sukir Maryanto, Tri Deni Rahman,Azwar Panshori

How to Cite?

Muhajir Anshori, Sukir Maryanto, Tri Deni Rahman,Azwar Panshori, "Ambient Noise Tomography for Determining the Velocity Model of Rayleigh Wave in Java Island, Indonesia," SSRG International Journal of Applied Physics, vol. 5,  no. 1, pp. 9-13, 2018. Crossref,


Ambient Noise Tomography had been applied to describe the Rayleigh wave group velocity model in the crust of Java Island, Indonesia. The collected seismic data consist of vertical component that recorded in January to December 2011 from 12 seismic stations at Indonesia Tsunami Early Warning System (INA TEWS) BMKG network Seismograph in Java Island. The waveform data processing was conducted from the preparation stage of daily waveform data, signal conditioning to signal cross correlation between paired stations that produced the empirical green function of the medium where the signal propagated. The estimated travel time of Rayleigh wave group for both periods of 5 s and 20 s were obtained from the time delay of the cross correlation. There were obtained by 36 and 22 traces respectively. The tomography process was conducted by using FMST v1.1 where forward and inverse modeling performed iteratively. The modeling result for the period of 5 s shown that the distribution of negative anomalies corresponded to volcanoes and Inter-Volcano plains which were Quarter-old. For period of 20 s, the western part of Java Island had a lower velocity anomaly than the eastern Java. This indicated that the tectonic activity of the western Java was more complex.


tomography, ambient noise, crosscorrelation, Rayleigh


[1] M. Campillo, “Ambient Noise Imaging,” 2004.
[2] Y. Yang, M. H. Ritzwoller, F.-C. Lin, M. P. Moschetti, dan N. M. Shapiro, “Structure of the crust and uppermost mantle beneath the western United States revealed by ambient noise and earthquake tomography,” J. Geophys. Res., vol. 113, 2008.
[3] K. . Cho, R. . Hermann, C. J. d Ammon, dan K. Lee, “Imaging the crust of Korean Peninsula by surface wave tomography,” 2006.
[4] H. Yao, R. D. van der Hilst, dan M. V. de Hoop, “Surface-wave Array Tomography in SE Tibet from Ambient Seismic Noise and Two-station Analysis: I - Phase velocity dispersion and maps,” 2006.
[5] Y. Yang, M. . Ritzwoller, A. . Levshin, dan N. M. Shapiro, “Ambient noise Rayleigh wave tomography across Europe,” Geophys. J. Int, vol. 168, hal. 259–274., 2007.
[6] F. Lin, M. . Ritzwoller, dan N. . Shapiro, “Is Ambient Noise Tomography Across Ocean Basins Possible?,” Geophys. Res. Lett., vol. Vol 33, 2006.
[7] E. Saygin dan B. Kennet, “Ambient Seismic Noise Tomography of Australian Continent Research School of Earth Science, The Australian National University.,” 2008.
[8] L. Stehly, “Toward improving ambient noise tomography using simultaneously curvalet denoising filters and SEM simulations of seismic ambient noise. Internal geophysics (Physics of Earth’s interior).,” Intern. Geophys. (Physics Earth’s Inter., 2011.
[9] S. Widyantoro, “Seismicity and Subduction Zone Model with High Resolution. Seminars and Exhibitions of HAKI (in Indonesian),” 2008.
[10] S. Munadi, Know the LPL Seismic Tomography, Lemigas, Indonesia (in Indonesian). Lemigas, Indonesia, 1992.
[11] L. Stehly, “Stehly L. et all. 2011. Short Period Surface Wave Dispersion From Ambient Noise Tomography in Western China,” 2011.
[12] R. . Stewart, “Tomographic inversion via the conjugate gradient method,” Geophysics, vol. 52, hal. 179–185.
[13] H. Nicolson, A. Curtis, B. Baptie, dan E. Galetti, “Seismic Interferometry and Ambient Noise Tomography in the British Isles,” in Proceedings of the Geologists’ Association, 2011.
[14] M. A. Hasan dan M. . Nurwidianto, “Spreading Estimation of East Java Basin Sediment Using Gravity Method,” 2008.