Ultra-long period seismic signals and cyclic deflation coincident with eruptions at Santiaguito volcano, Guatemala

Sanderson, R. W.; Johnson, J. B.; Lees, Jonathan M.

doi:10.1016/j.jvolgeores.2010.08.007

Cited by 33 publications

(46 citation statements)

References 39 publications

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“…We observe regular occurrences of self‐similar, long‐duration (~4 min) signals on the horizontal components of the broadband seismometer (Figure ). These signals have not been previously reported for geyser systems, and while they bear some similarities to very long period (VLP) signals observed at some volcanic systems [e.g., Chouet et al ., 2003; Sanderson et al ., ; Kazahaya et al ., ; Lyons and Waite , ] their duration is much longer (~240 s compared to ~100 s for VLPs) such that we refer to them as Ultralong Period (ULP) events [e.g., Kanamori and Given , ; Sanderson et al ., ], though the source processes that produce these signals may differ from those that produce volcanic VLP and ULP events. The average ULP recurrence period during the first 2 days of the experiment was 26 ± 8 min and then the recurrence time and variability increased slightly (Figure S3.2 in the supporting information).…”

Section: Observations and Resultsmentioning

confidence: 98%

“…Because the signals were not observed on the vertical seismometer component, we infer that the ULP signals were generated by ground surface tilt (rotation) rather than horizontal displacements (translation). We extract the corresponding tilt vector from the acceleration signals recorded on the horizontal mass positions of the seismometer by dividing the instrument acceleration by the gravity acceleration g [ Genco and Ripepe , ; Sanderson et al ., ; Maeda and Takeo , ; Lyons et al ., ; Waite et al ., ]. All the observed ULP tilt signals are nearly identical with amplitudes of ~1 μrad in the E‐W direction and 0.3 µrad in the N‐S direction, and durations of ~4 min (Figure a).…”

Section: Observations and Resultsmentioning

confidence: 99%

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Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics

et al. 2014

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We use seismic, tilt, lidar, thermal, and gravity data from 32 consecutive eruption cycles of Lone Star geyser in Yellowstone National Park to identify key subsurface processes throughout the geyser's eruption cycle. Previously, we described measurements and analyses associated with the geyser's erupting jet dynamics. Here we show that seismicity is dominated by hydrothermal tremor (~5-40 Hz) attributed to the nucleation and/or collapse of vapor bubbles. Water discharge during eruption preplay triggers high-amplitude tremor pulses from a back azimuth aligned with the geyser cone, but during the rest of the eruption cycle it is shifted to the east-northeast. Moreover,~4 min period ground surface displacements recur every 26 ± 8 min and are uncorrelated with the eruption cycle. Based on these observations, we conclude that (1) the dynamical behavior of the geyser is controlled by the thermo-mechanical coupling between the geyser conduit and a laterally offset reservoir periodically filled with a highly compressible two-phase mixture, (2) liquid and steam slugs periodically ascend into the shallow crust near the geyser system inducing detectable deformation, (3) eruptions occur when the pressure decrease associated with overflow from geyser conduit during preplay triggers an unstable feedback between vapor generation (cavitation) and mass discharge, and (4) flow choking at a constriction in the conduit arrests the runaway process and increases the saturated vapor pressure in the reservoir by a factor of~10 during eruptions.

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Section: Observations and Resultsmentioning

confidence: 98%

Section: Observations and Resultsmentioning

confidence: 99%

Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics

et al. 2014

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“…At Soufrière Hills, Montserrat (West Indies), dilatometric data show oscillations with periods around 10 3 s, following phases of dome collapse (Voight et al 2006). ULP ground motion with periods in the range 30-600 s was recorded at Santiaguito volcano, Guatemala, during a 3.5 days broadband survey (Sanderson et al 2010). Ground oscillations in the frequency range 10 −2 -10 −3 Hz were measured at Piton de la Fournaise volcano, Réunion Island, and interpreted as due to pressure oscillations in a shallow magma chamber as a consequence of injection of magma of deeper provenance (Houlì and Montagner 2007).…”

Section: Discussionmentioning

confidence: 96%

“…Analysis of records from volcano monitoring networks can in principle reveal such replenishment, but todate there is no established method for identifying the signal of magma injection. ground oscillations with Ultra-Long-Periods (ULP) of hundreds of seconds, preceding and accompanying visible volcanic activity (Voight et al 2006;Houlì and Montagner 2007;Sanderson et al 2010). There is a general consensus on the relevance and potential usefulness of such signals for understanding the underground magma dynamics and forecasting the short-term volcanic hazard.…”

Section: Introductionmentioning

confidence: 99%

Magma convection and mixing dynamics as a source of Ultra-Long-Period oscillations

et al. 2011

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Many volcanic eruptions are shortly preceded by injection of new magma into a pre-existing, shallow (<10 km) magma chamber, causing convection and mixing between the incoming and resident magmas. These processes may trigger dyke propagation and further magma rise, inducing long-term (days to months) volcano deformation, seismic swarms, gravity anomalies, and changes in the composition of volcanic plumes and fumaroles, eventually culminating in an eruption. Although new magma injection into shallow magma chambers can lead to hazardous event, such injection is still not systematically detected and recognized. Here, we present the results of numerical simulations of magma convection and mixing in geometrically complex magmatic systems, and describe the multiparametric dynamics associated with buoyant magma injection. Our results reveal unexpected pressure trends and pressure oscillations in the Ultra-Long-Period (ULP) range of minutes, related to the generation of discrete plumes of rising magma. Very long pressure oscillation wavelengths translate into comparably ULP ground displacements with amplitudes of order 10 −4 -10 −2 m. Thus, new magma injection into magma chambers beneath volcanoes can be revealed by ULP ground displacement measured at the surface.

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“…The three other domes are mostly inactive, except for mild gas emission, and are thus accessible for textural analysis. Evolution of the domes has been extensively described and documented (Sapper, 1926;Williams, 1932;Rose, 1969, 1970;Rose et al, 1970Rose et al, , 1976Rose, 1972bRose, , 1973aRose, ,b, 1987bSmithsonian Institution, 1980-present;Anderson et al, 1995;Andres and Rose, 1995;Harris et al, 2002Harris et al, , 2003Harris et al, , 2004Bluth and Rose, 2004;Sahetapy-Engel et al, 2004Forbes, 2010;Sanderson et al, 2010;Brill, 2011;Holland et al, 2011;Ebmeier et al, 2012) providing a first order basis for the detailed textural and morphological analysis of lava dome emplacement attempted herein. Extrusion cycles have been classified based on extrusion rate (Rose, 1973b;Harris et al, 2003), but as yet classification of lava types and how they fit into the eruption sequence has not been investigated.…”

Section: Introductionmentioning

confidence: 99%

Textural Insights Into the Evolving Lava Dome Cycles at Santiaguito Lava Dome, Guatemala

et al. 2018

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The structures and textures preserved in lava domes reflect underlying magmatic and eruptive processes, and may provide evidence of how eruptions initiate and evolve. This study explores the remarkable cycles in lava extrusion style produced between 1922 and 2012 at the Santiaguito lava dome complex, Guatemala. By combining an examination of eruptive lava morphologies and textures with a review of historical records, we aim to constrain the processes responsible for the range of erupted lava type and morphologies. The Santiaguito lava dome complex is divided into four domes (El Caliente, La Mitad, El Monje, El Brujo), containing a range of proximal structures (e.g., spines) from which a series of structurally contrasting lava flows originate. Vesicular lava flows (with a'a like, yet non-brecciated flow top) have the highest porosity with interconnected spheroidal pores and may transition into blocky lava flows. Blocky lava flows are high volume and texturally variable with dense zones of small tubular aligned pore networks and more porous zones of spheroidal shaped pores. Spines are dense and low volume and contain small skeletal shaped pores, and subvertical zones of sigmoidal pores. We attribute the observed differences in pore shapes to reflect shallow inflation, deflation, flattening, or shearing of the pore fraction. Effusion rate and duration of the eruption define the amount of time available for heating or cooling, degassing and outgassing prior to and during extrusion, driving changes in pore textures and lava type. Our new textural data when reviewed with all the other published data allow a cyclic model to be developed. The cyclic eruption models are influenced by viscosity changes resulting from (1) initial magmatic composition and temperature, and (2) effusion rate which in turn affects degassing, outgassing and cooling time in the conduit. Each lava type presents a unique set of hazards and understanding the morphologies and dome progression is useful in hazard forecasting.

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Ultra-long period seismic signals and cyclic deflation coincident with eruptions at Santiaguito volcano, Guatemala

Cited by 33 publications

References 39 publications

Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics

Eruptions at Lone Star geyser, Yellowstone National Park, USA: 2. Constraints on subsurface dynamics

Magma convection and mixing dynamics as a source of Ultra-Long-Period oscillations

Textural Insights Into the Evolving Lava Dome Cycles at Santiaguito Lava Dome, Guatemala

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