Upper crustal structure of central Java, Indonesia, from transdimensional seismic ambient noise tomography

Zulfakriza, Zulfakriza; Saygin, Erdinc; Cummins, Phil R.; Widiyantoro, Sri; Nugraha, Andri Dian; Lühr, Birger-Gottfried; Bodin, Thomas

doi:10.1093/gji/ggu016

Cited by 70 publications

(48 citation statements)

References 30 publications

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“…ANT has been used previously at several locations in Indonesia, including Lake Toba (Stankiewcs et al 2010), Central Java (Zulfakriza et al 2014), the Jakarta Basin , the western part of East Java (Martha et al 2015), and East Java and Bali (Martha et al 2016).…”

Section: Introductionmentioning

confidence: 99%

Imaging of upper crustal structure beneath East Java–Bali, Indonesia with ambient noise tomography

et al. 2017

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The complex geological structures in East Java and Bali provide important opportunities for natural resource exploitation, but also harbor perils associated with natural disasters. Such a condition makes the East Java region an important area for exploration of the subsurface seismic wave velocity structure, especially in its upper crust. We employed the ambient noise tomography method to image the upper crustal structure under this study area. We used seismic data recorded at 24 seismographs of BMKG spread over East Java and Bali. In addition, we installed 28 portable seismographs in East Java from April 2013 to January 2014 for 2-8 weeks, and we installed an additional 28 seismographs simultaneously throughout East Java from August 2015 to April 2016. We constructed inter-station Rayleigh wave Green's functions through cross-correlations of the vertical component of seismic noise recordings at 1500 pairs of stations. We used the Neighborhood Algorithm to construct depth profiles of shear wave velocity (Vs). The main result obtained from this study is the thickness of sediment cover. East Java's southern mountain zone is dominated by higher Vs, the Kendeng basin in the center is dominated by very low Vs, and the Rembang zone (to the North of Kendeng zone) is associated with medium Vs. The existence of structures with oil and gas potential in the Kendeng and Rembang zones can be identified by low Vs.

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Section: Introductionmentioning

confidence: 99%

Imaging of upper crustal structure beneath East Java–Bali, Indonesia with ambient noise tomography

et al. 2017

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“…For instance, Delorey and Vidale [] have been able to refine a 3‐D v S model of the Seattle area for seismic hazard assessment purposes; Zulfakriza et al . [] retrieved the upper crustal structure of central Java (Indonesia) from transdimensional seismic noise tomography; Saygin and Kennett [] imaged the Australian crust; Kao et al . [] imaged the crust and upper mantle v S structure of Canada and adjacent regions; Lin et al .…”

Section: Introductionmentioning

confidence: 99%

Italian and Alpine three‐dimensional crustal structure imaged by ambient‐noise surface‐wave dispersion

Molinari

Verbeke

Boschi

et al. 2015

Geochem Geophys Geosyst

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International audienceWe derive the 3-D crustal structure (S wave velocity) underneath Italy and the Alpine region, expanding and exploiting the database of ambient noise Rayleigh-wave phase- and group-velocity of Verbeke et al. (2012). We first complement the database of Verbeke et al. (2012) with a dense set of new ambient-noise-based phase-velocity observations. We next conduct a suite of linear least squares inversion of both phase- and group-velocity data, resulting in 2-D maps of Rayleigh-wave phase and group velocity at periods between 5 and 37 s. At relatively short periods, these maps clearly reflect the surface geology of the region, e.g., low velocity zones at the Po Plain; at longer periods, deeper structures such as Moho topography under Alps and Apennines, and lower-crust anomalies are revealed. Our phase- and group-velocity models are next inverted via the Neighbourhood Algorithm to determine a set of one-dimensional shear-velocity models (one per phase/group-velocity pixel), resulting in a new three-dimensional model of shear velocity (vS) parameterized in the same way as the European reference crustal model EPcrust. We also show how well vS is constrained by phase and group dispersion curves. The model shows the low velocity area beneath the Po Plain and the Molasse basin; the contrast between the low-velocity crust of the Adriatic domain and the high-velocity crust of the Tyrrhenian domain is clearly seen, as well as an almost uniform crystalline crust beneath the Alpine belt. Our results are discussed from the geological/geodynamical standpoint, and compared to those of other, interdisciplinary studies

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“…One of them is the observed nearly vertical cluster of events to the south of central Java, which is related to a backthrust fault. In addition, the relocated events also depict a cluster of earthquakes parallel to the Opak fault characterized by a contrast in wavespeed (Zulfakriza et al 2014), and a possible double seismic zone in the study region.…”

Section: Conclusion and Further Workmentioning

confidence: 93%

Relocation of hypocenters from DOMERAPI and BMKG networks: a preliminary result from DOMERAPI project

et al. 2017

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Upper crustal structure of central Java, Indonesia, from transdimensional seismic ambient noise tomography

Cited by 70 publications

References 30 publications

Imaging of upper crustal structure beneath East Java–Bali, Indonesia with ambient noise tomography

Imaging of upper crustal structure beneath East Java–Bali, Indonesia with ambient noise tomography

Italian and Alpine three‐dimensional crustal structure imaged by ambient‐noise surface‐wave dispersion

Relocation of hypocenters from DOMERAPI and BMKG networks: a preliminary result from DOMERAPI project

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