An overview of the seismicity of Merapi volcano (Java, Indonesia), 1983–1994

Ratdomopurbo, Antonius; Poupinet, G.

doi:10.1016/s0377-0273(00)00137-2

Cited by 138 publications

(88 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The low and high velocity zones at 100 km and 12-27 km depths, respectively are consistent with the two main magmatic systems characterized by petrological studies beneath Merapi volcano, known as deep and intermediate magma reservoirs [10]. Shallow magma reservoir could not be detected by this study because of the limited data coverage [1,2,10]. The high velocity materials beneath Merbabu volcano is interpreted as a large solidified magma body/intrusion/conduit.…”

Section: Resultssupporting

confidence: 82%

“…Data from the BMKG network were included in order to minimize the azimuthal gap [11]. The contribution of the earthquakes located outside the DOMERAPI network is essential to delineate the deep structure beneath Merapi volcano given that the volcano-tectonic earthquakes (VT) occur at maximum 5 km below the summit [1,2]. The total number of earthquakes used in this study is 372.…”

Section: Methodsmentioning

confidence: 99%

“…The eruption period occurred from two to six years [1]. The Merapi eruption type is dominated by pyroclastic flows caused by lava dome collapse [1,2].…”

Section: Introductionmentioning

confidence: 99%

“…The eruption period occurred from two to six years [1]. The Merapi eruption type is dominated by pyroclastic flows caused by lava dome collapse [1,2]. A different eruption type, which is more explosive and of higher magnitude, such as the 2010 eruption, occurs less frequently, i.e.…”

Section: Introductionmentioning

confidence: 99%

“…Many earth scientists have studied various methods to determine the Merapi internal structure from local to regional scale. Two magmatic systems have been identified beneath Merapi down to 5 km depth beneath the summit by seismological studies [1,2]. A low velocity material ascending from the partial melting zone to volcanic arc was detected by travel-time seismic tomography by using MERAMEX network [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Seismic Travel-time Tomography beneath Merapi Volcano and its Surroundings: A Preliminary Result from DOMERAPI Project

Ramdhan

Widiyantoro

Nugraha

et al. 2017

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Section: Resultssupporting

confidence: 82%

Section: Methodsmentioning

confidence: 99%

“…The eruption period occurred from two to six years [1]. The Merapi eruption type is dominated by pyroclastic flows caused by lava dome collapse [1,2].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Seismic Travel-time Tomography beneath Merapi Volcano and its Surroundings: A Preliminary Result from DOMERAPI Project

Ramdhan

Widiyantoro

Nugraha

et al. 2017

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

Automated identification, location, and volume estimation of rockfalls at Piton de la Fournaise volcano

Hibert

Mangeney

Grandjean

et al. 2014

J. Geophys. Res. Earth Surf.

116

151

View full text Add to dashboard Cite

Since the collapse of the Dolomieu crater floor at Piton de la Fournaise Volcano (la Réunion) in 2007, hundreds of seismic signals generated by rockfalls have been recorded daily at the Observatoire Volcanologique du Piton de la Fournaise (OVPF). To study rockfall activity over a long period of time, automated methods are required to process the available continuous seismic records. We present a set of automated methods designed to identify, locate, and estimate the volume of rockfalls from their seismic signals. The method used to automatically discriminate seismic signals generated by rockfalls from other common events recorded at OVPF is based on fuzzy sets and has a success rate of 92%. A kurtosis-based automated picking method makes it possible to precisely pick the onset time and the final time of the rockfall-generated seismic signals. We present methods to determine rockfall locations based on these accurate pickings and a surface-wave propagation model computed for each station using a Fast Marching Method. These methods have successfully located directly observed rockfalls with an accuracy of about 100 m. They also make it possible to compute the seismic energy generated by rockfalls, which is then used to retrieve their volume. The methods developed were applied to a data set of 12,422 rockfalls that occurred over a period extending from the collapse of the Dolomieu crater floor in April 2007 to the end of the UnderVolc project in May 2011 to identify the most hazardous areas of the Piton de la Fournaise volcano summit.

show abstract

Structure of magma reservoirs beneath Merapi and surrounding volcanic centers of Central Java modeled from ambient noise tomography

Koulakov

Maksotova

Jaxybulatov

et al. 2016

Geochem Geophys Geosyst

View full text Add to dashboard Cite

We present a three-dimensional model of the distribution of S-wave velocity in the upper crust to a depth of 20 km beneath Central Java based on the analysis of seismic ambient noise data recorded by more than 100 seismic stations in 2004 associated with the MERAMEX project. To invert the Rayleigh wave dispersion curves to construct 2-D group-velocity maps and 3-D distributions of S-wave velocity, we have used a new tomographic algorithm based on iterative linearized inversion. We have performed a series of synthetic tests that demonstrate significantly higher resolution in the upper crust with this model compared to the local earthquake travel-time tomography (LET) model previously applied for the same station network. Beneath the southern flank of Merapi, we identify a large low-velocity anomaly that can be split into two layers. The upper layer reflects the 1 km thick sedimentary cover of volcanoclastic deposits. The deeper anomaly at depths of 4-8 km may represent a magma reservoir with partially molten rock that feeds several volcanoes in Central Java. Beneath the Merapi summit, we observe another low-velocity anomaly as deep as 8 km that may be associated with the active magma reservoir that feeds the eruptive activity of Merapi. In the southern portion of the study area, in the lower crust, we identify a low-velocity anomaly that may represent the top of the pathways of volatiles and melts ascending from the slab that was previously inferred from the LET model results. We observe that this anomaly is clearly separate from the felsic magma reservoirs in the upper crust.

show abstract

An overview of the seismicity of Merapi volcano (Java, Indonesia), 1983–1994

Cited by 138 publications

References 13 publications

Seismic Travel-time Tomography beneath Merapi Volcano and its Surroundings: A Preliminary Result from DOMERAPI Project

Seismic Travel-time Tomography beneath Merapi Volcano and its Surroundings: A Preliminary Result from DOMERAPI Project

Automated identification, location, and volume estimation of rockfalls at Piton de la Fournaise volcano

Structure of magma reservoirs beneath Merapi and surrounding volcanic centers of Central Java modeled from ambient noise tomography

Contact Info

Product

Resources

About