Velocity models and site effects at Kawah Ijen volcano and Ijen caldera (Indonesia) determined from ambient noise cross-correlations and directional energy density spectral ratios

Spica, Zack; Caudron, Corentin; Perton, M.; Lecocq, Thomas; Camelbeeck, Thierry; Legrand, D.; Piña‐Flores, José; Iglesias, A.; Syahbana, Devy Kamil

doi:10.1016/j.jvolgeores.2015.06.016

Cited by 29 publications

(21 citation statements)

References 105 publications

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“…Bensen et al 2007). As in Spica et al (2015) and Perton et al (2017), we apply spectral whitening, which corresponds to source deconvolution. Because several sources can act in different frequency bands, the operation consists of normalizing the signals by the source energies computed in each time window and across sev-…”

Section: Observed H/vmentioning

confidence: 99%

“…It represents an opportunity to obtain the local subsurface velocity model with only one short three-component measurement of the ambient field (e.g. only 20 min in Spica et al (2015)). This capability is of particular interest in geotechnical engineering, seismic exploration, and engineering seismology.…”

Section: Introductionmentioning

confidence: 99%

“…This capability is of particular interest in geotechnical engineering, seismic exploration, and engineering seismology. To date it has only been applied to limited data sets and geological settings (Salinas et al 2014;Spica et al 2015;Lontsi et al 2015;Piña-Flores 2015;Rivet et al 2015;Lontsi et al 2016;García-Jerez et al 2016;Piña-Flores et al 2016;Perton et al 2017). While these initial results are promising, there is still a need to explore the potential of the method and to validate the results against independent information.…”

Section: Introductionmentioning

confidence: 99%

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Site characterization at Groningen gas field area through joint surface-borehole H/V analysis

Spica

Perton

Nakata

et al. 2017

Geophysical Journal International

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A new interpretation of the horizontal to vertical (H/V) spectral ratio in terms of the Diffuse Field Assumption (DFA) has fuelled a resurgence of interest in that approach. The DFA links H/V measurements to Green's function retrieval through autocorrelation of the ambient seismic field. This naturally allows for estimation of layered velocity structure. In this contribution, we further explore the potential of H/V analysis. Our study is facilitated by a distributed array of surface and co-located borehole stations deployed at multiple depths, and by detailed prior information on velocity structure that is available due to development of the Groningen gas field. We use the vertical distribution of H/V spectra recorded at discrete depths inside boreholes to obtain shear wave velocity models of the shallow subsurface. We combine both joint H/V inversion and borehole interferometry to reduce the non-uniqueness of the problem and to allow faster convergence towards a reliable velocity model. The good agreement between our results and velocity models from an independent study validates the methodology, demonstrates the power of the method, but more importantly provides further constraints on the shallow velocity structure, which is an essential component of integrated hazard assessment in the area.

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Section: Observed H/vmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Site characterization at Groningen gas field area through joint surface-borehole H/V analysis

Spica

Perton

Nakata

et al. 2017

Geophysical Journal International

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“…In fact, the H/V ratio considering only the body waves contributions (see figure 4-a) is very similar to the transfer function for vertical S waves, in partial agreement with Nakamura's (1989) interpretation. Finally, when all the wave types are considered (Spica et al 2015;Rivet et al 2015García-Jerez et al 2016, the H/V ratio is usually dominated by surface wave contributions for frequencies higher than the first maximum, whereas it is dominated by body waves below that frequency (see figure 4-a) .…”

Section: Parametric Analysismentioning

confidence: 99%

“…Its main advantage is the possibility to explore an extended parameter space, which may present several local minima, and to converge toward an optimum model. This method has already been successfully employed in seismology to invert the fundamental Rayleigh mode dispersion curves (Martínez et al 2000;Iglesias et al 2001;Beaty et al 2002;Xia et al 2002;Pei et al 2007) and H/V (Spica et al 2015;García-Jerez et al 2016). When the misfit is already close to an acceptable value, or when enough a priori information is available, the inversion can be made using a local optimization scheme (e.g.…”

mentioning

confidence: 99%

The inversion of spectral ratio H/V in a layered system using the diffuse field assumption (DFA)

Piña‐Flores

Perton²,

García‐Jerez

et al. 2016

Geophys. J. Int.

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A review of the microtremor horizontal-to-vertical spectral ratio (MHVSR) method

et al. 2022

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The single-station microtremor horizontal-to-vertical spectral ratio (MHVSR) method was initially proposed to retrieve the site amplification function and its resonance frequencies produced by unconsolidated sediments overlying high-velocity bedrock. Presently, MHVSR measurements are predominantly conducted to obtain an estimate of the fundamental site frequency at sites where a strong subsurface impedance contrast exists. Of the earthquake site characterization methods presented in this special issue, the MHVSR method is the furthest behind in terms of consensus towards standardized guidelines and commercial use. The greatest challenges to an international standardization of MHVSR acquisition and analysis are (1) the what — the underlying composition of the microtremor wavefield is site-dependent, and thus, the appropriate theoretical (forward) model for inversion is still debated; and (2) the how — many factors and options are involved in the data acquisition, processing, and interpretation stages. This paper reviews briefly a historical development of the MHVSR technique and the physical basis of an MHVSR (the what). We then summarize recommendations for MHVSR acquisition and analysis (the how). Specific sections address MHVSR interpretation and uncertainty assessment.

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Velocity models and site effects at Kawah Ijen volcano and Ijen caldera (Indonesia) determined from ambient noise cross-correlations and directional energy density spectral ratios

Cited by 29 publications

References 105 publications

Site characterization at Groningen gas field area through joint surface-borehole H/V analysis

Site characterization at Groningen gas field area through joint surface-borehole H/V analysis

The inversion of spectral ratio H/V in a layered system using the diffuse field assumption (DFA)

A review of the microtremor horizontal-to-vertical spectral ratio (MHVSR) method

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