Seismic tomography at Popocatépetl volcano, Mexico

Berger, Pia; Got, Jean‐Luc; González, Carlos Valdés; Monteiller, Vadim

doi:10.1016/j.jvolgeores.2010.12.016

Cited by 22 publications

(12 citation statements)

References 40 publications

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“…Tomography of Popocatépetl volcano by Kuznetsov and Koulakov (2014), using P and S arrivals of VT earthquakes from an array of 15 short-period stations between 1999 and 2000, revealed a high-velocity zone associated with solidified igneous rocks mainly in the north and northwest part of the crater, in agreement with Berger et al (2011). Kuznetsov and Koulakov (2014) characterized this anomaly at a depth not greater than 4 km below sea level with an average Vs not exceeding 2.5 km/s and Vp values to be about 4.2 km/s.…”

Section: Introductionsupporting

confidence: 67%

“…Investigations of the structure below the volcano by De Barros et al (2008) using surface waves from local and regional earthquakes could not constrain any significant velocity contrasts up to a depth of 10 km. However, Berger et al (2011) indicated highvelocity bodies to the north and northwest of the volcanic edifice from a 3D tomography derived from the arrival times of 1500 volcano-tectonic (VT) earthquakes recorded between 1995 and 2006. These contrasts were probably related to ancient dikes in the uppermost layer of 5 km, associated with active faults susceptible to magma rise and origin of VT earthquakes (Arámbula-Mendoza et al 2010).…”

Section: Introductionmentioning

confidence: 99%

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Ambient noise tomography of the Popocatépetl volcano using the principal Green tensor components

et al. 2021

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A 3D shear wave velocity model of the subsurface of Popocatépetl volcano was obtained using ambient noise tomography, employing the principal cross-terms of the empirical Green's function. Daily cross-correlation waveforms were computed from the data recorded by four seismic broadband stations in 2012. Dispersion curves were estimated from the stack of anti-causal and causal parts for the three ground motion components. In the period ranging between 0.5 and 7 s, the radial component provided the most welldefined group velocity dispersion curves for Rayleigh waves. Dispersion curves for long paths (> 9.5 km) suggested the presence of a layered structure with group velocity values ranging from 0.5 to 3.0 km/s. Dispersion curves for short paths (< 7 km) and close to the volcano showed values similar to those for long paths but with a velocity inversion occurring between 3-and 5-s periods. Despite the scarce ray-path coverage, a tomography inversion provided the means to image an S-wave velocity anomaly (2.5-3.0 km/s) in the northern part of the crater at depths not larger than 6 km. The volcanotectonic seismicity during 2012-2013 was found to be concentrated in the southern segment of this anomaly, which seems to mark a boundary between a solidified body (possibly a product of ancient volcanic craters) and the softer material.

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Section: Introductionsupporting

confidence: 67%

Section: Introductionmentioning

confidence: 99%

Ambient noise tomography of the Popocatépetl volcano using the principal Green tensor components

et al. 2021

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“…Previous passive‐ and active‐source velocity tomography studies of other volcanoes have found a variety of types of features in the subsurface. Compiling results from 23 active arc volcanoes (Aso [ Sudo and Kong , ], Augustine [ Syracuse et al ., ], Mount Etna [ Aloisi et al ., ; Laigle et al ., ], Mount Fuji [ Nakamichi et al ., ], Great Sitkin [ Pesicek et al ., ], Iwate [ Tanaka et al ., ], Katmai [ Murphy et al ., ], Kirishima [ Tomatsu et al ., ], Klyuchevskoy [ Koulakov et al ., ], Long Valley Caldera [ Seccia et al ., ], Montserrat [ Paulatto et al ., ], Mount St. Helens [ Lees , ; Waite and Moran , ], Naruko [ Nakajima and Hasegawa , ], Nevado del Ruiz [ Londoño and Sudo , ], Okmok [ Masterlark et al ., ; Ohlendorf et al ., ], Popocatépetl [ Berger et al ., ; Kuznetsov and Koulakov , ], Rainier [ Moran et al ., ], Redoubt [ DeShon et al ., ], Taranaki [ Sherburn et al ., ], Tongariro [ Rowlands et al ., ], Tungurahua [ Molina et al ., ], Unzen [ Ohmi and Lees , ], and Vesuvius [ Piana Agostinetti and Chiarabba , ]) show that upper crustal low‐velocity regions, potentially indicative of hotter or melt‐rich areas, are as common as high‐velocity regions, generally interpreted to be cooled basaltic rocks intruded during previous eruptions and near which magma travels to the surface. It is possible that all volcanoes contain both these features, but resolution limitations prevent their observation.…”

Section: Resultsmentioning

confidence: 99%

Seismicity and structure of Akutan and Makushin Volcanoes, Alaska, using joint body and surface wave tomography

et al. 2015

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Joint inversions of seismic data recover models that simultaneously fit multiple constraints while playing upon the strengths of each data type. Here we jointly invert 14 years of local earthquake body wave arrival times from the Alaska Volcano Observatory catalog and Rayleigh wave dispersion curves based upon ambient noise measurements for local V p , V s , and hypocentral locations at Akutan and Makushin Volcanoes using a new joint inversion algorithm. The velocity structure and relocated seismicity of both volcanoes are significantly more complex than many other volcanoes studied using similar techniques. Seismicity is distributed among several areas beneath or beyond the flanks of both volcanoes, illuminating a variety of volcanic and tectonic features. The velocity structures of the two volcanoes are exemplified by the presence of narrow high-V p features in the near surface, indicating likely current or remnant pathways of magma to the surface. A single broad low-V p region beneath each volcano is slightly offset from each summit and centered at approximately 7 km depth, indicating a potential magma chamber, where magma is stored over longer time periods. Differing recovery capabilities of the V p and V s data sets indicate that the results of these types of joint inversions must be interpreted carefully.

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“…Seismological studies of volcanic regions, and mainly seismic tomographies in velocity and attenuation, are one of the most widely applied and promising techniques used to image the inner part structure of volcanic edifices [e.g. Matsuraba et al 2008;Zandomeneghi et al 2008;Berger et al 2011;Paulatto et al 2012;Koulakov et al 2013;García-Yeguas et al 2014].…”

Section: Introductionmentioning

confidence: 99%

The TOMO-ETNA experiment: an imaging active campaign at Mt. Etna volcano. Context, main objectives, working-plans and involved research projects

Ibáñez

Prudencio

Díaz‐Moreno

et al. 2016

Annals of Geophysics

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<p>The TOMO-ETNA experiment was devised to image of the crust underlying the volcanic edifice and, possibly, its plumbing system by using passive and active refraction/reflection seismic methods. This experiment included activities both on-land and offshore with the main objective of obtaining a new high-resolution seismic tomography to improve the knowledge of the crustal structures existing beneath the Etna volcano and northeast Sicily up to Aeolian Islands. The TOMO ETNA experiment was divided in two phases. The first phase started on June 15, 2014 and finalized on July 24, 2014, with the withdrawal of two removable seismic networks (a Short Period Network and a Broadband network composed by 80 and 20 stations respectively) deployed at Etna volcano and surrounding areas. During this first phase the oceanographic research vessel “Sarmiento de Gamboa” and the hydro-oceanographic vessel “Galatea” performed the offshore activities, which includes the deployment of ocean bottom seismometers (OBS), air-gun shooting for Wide Angle Seismic refraction (WAS), Multi-Channel Seismic (MCS) reflection surveys, magnetic surveys and ROV (Remotely Operated Vehicle) dives. This phase finished with the recovery of the short period seismic network. In the second phase the Broadband seismic network remained operative until October 28, 2014, and the R/V “Aegaeo” performed additional MCS surveys during November 19-27, 2014. Overall, the information deriving from TOMO-ETNA experiment could provide the answer to many uncertainties that have arisen while exploiting the large amount of data provided by the cutting-edge monitoring systems of Etna volcano and seismogenic area of eastern Sicily.</p>

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Seismic tomography at Popocatépetl volcano, Mexico

Cited by 22 publications

References 40 publications

Ambient noise tomography of the Popocatépetl volcano using the principal Green tensor components

Ambient noise tomography of the Popocatépetl volcano using the principal Green tensor components

Seismicity and structure of Akutan and Makushin Volcanoes, Alaska, using joint body and surface wave tomography

The TOMO-ETNA experiment: an imaging active campaign at Mt. Etna volcano. Context, main objectives, working-plans and involved research projects

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