Absence of Detectable Precursory Deformation and Velocity Variation Before the Large Dome Collapse of July 2015 at Volcán de Colima, Mexico

Lesage, Philippe; Carrara, Alexandre; Pinel, Virginie; Arámbula‐Mendoza, Raúl

doi:10.3389/feart.2018.00093

Cited by 14 publications

(10 citation statements)

References 94 publications

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“…Furthermore, Larose et al, (Budi-Santoso and Lesage, 2016), or Kilauea (Donaldson et al, 2017), Hakone (Yukutake et al, 2016), Veniaminof (Bennington et al, 2018) or White Island (Yates et al, 2019). However, at some open systems such as Volcán de Colima, the velocity variations were almost undetectable (Lesage et al, 2014), even before large eruptive events (Lesage et al, 2018). It is thus important to keep evaluating and documenting this approach on an increasing number of cases.…”

Section: Introductionmentioning

confidence: 99%

Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014

Machacca-Puma

Lesage

Larose

et al. 2019

Journal of Volcanology and Geothermal Research

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Volcano monitoring and eruption forecasting are based on the observation and joined interpretation of several precursory phenomena. It is thus important to detect new types of precursor and to study their relationship with forthcoming eruptions. In the last years, variations of seismic velocity have been observed in some volcanoes, mainly basaltic, before eruptions. In this paper, we look for velocity variations and waveform decorrelations before the 2014 eruptive sequence of the andesitic Ubinas volcano in Peru. We compute velocity changes by using seismic ambient noise cross-correlation (between pairs of stations) and cross-components correlation (between vertical and horizontal components of single stations), as well as coda wave interferometry of seismic multiplets. With these different approaches, we show that the major explosions that occurred from 13 to 19 April were preceded by a clear velocity decrease and waveform decorrelation. The amplitude of velocity change is generally larger on singlestation cross-components correlation than on two-stations cross-correlation in all the frequency ranges tested (between 0.1 and 8 Hz). We highlight an apparent anisotropy of velocity change in single-station cross-components correlation, with larger amplitudes when correlating vertical and tangential components

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Section: Introductionmentioning

confidence: 99%

Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014

Machacca-Puma

Lesage

Larose

et al. 2019

Journal of Volcanology and Geothermal Research

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“…However, the increase in the number of volcanoes being continuously or regularly monitored, together with developments in remote sensing (e.g., background satellite missions, continuously recording infrasound), means that very brief periods of preeruptive unrest can be identified for several eruptions over the past decade (e.g., Chaiten, 2008; Colima, 2015; Rabaul, 1995; Redoubt, 1989; Reventador, 1999; Ruapehu, 1996, and eruptions from Hekla, Kilauea, Piton de la Fournaise, Usu. Pavlof, and Calbuco; Lesage et al, ; Matoza et al, ; Passarelli & Brodsky, ).…”

Section: Introductionmentioning

confidence: 99%

Explosive Eruptions With Little Warning: Experimental Petrology and Volcano Monitoring Observations From the 2014 Eruption of Kelud, Indonesia

Cassidy

Ebmeier

Helo

et al. 2019

Geochem Geophys Geosyst

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Explosive eruptions that occur with little or no precursory unrest (less than a month) pose the greatest hazards from volcanoes to nearby populations. Here we focus on the preeruptive conditions for these explosive events, their triggers and how these eruptions evolve. We concentrate on Kelud volcano, where we have conducted a set of petrological experiments to understand preeruptive storage conditions for several recent eruptions. For the 2014 explosive eruption, we combine this with an analysis of interferometric synthetic aperture radar measured deformation. Our data suggest that both explosive and effusive eruptions at Kelud are sourced from a magma storage system at 2–4 km. However, explosive eruptions are fed by magma stored under relatively cool (~1000 °C) and water‐saturated conditions, whereas effusive eruptions are fed by slightly hotter (~1050 °C), water‐undersaturated magmas. We propose that the initial phase of the 2014 eruption was triggered by volatile overpressure, which then fostered top‐down decompression tapping discrete magma bodies. By compiling a global data set of monitoring signatures of explosive eruptions, we show that the onset of unrest rarely points to the shallow ascent of magma to the surface, as ascent mostly occurs in a matter of hours or minutes. We relate the timescale of preeruptive unrest to eruption triggering mechanisms, with yearly/decadal periods of unrest relating to magma injection events (which may or may not precede a magmatic eruption), whereas internal triggering (e.g., second boiling) of an already present, cooling magma body can lead to explosive eruptions with little warning.

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“…Thermal remote sensing information is obtained from the MIROVA satellite system. Remote sensing studies using DInSAR have often failed to resolve mmscale ground movements for large areas of the volcanic edifice (Walter et al, 2013;Salzer et al, 2014Salzer et al, , 2017Lesage et al, 2018), because of dense vegetation cover on the lower slopes, shifting tephra and rockfalls on the upper edifice, and because the steep sided shape of the cone can cause radar shadow (depending on the particular SAR viewing geometry). Minor ground movements can provide invaluable early indications of imminent activity and information about the stability of the edifice, and as such the paucity in high-quality ground deformation data at VdeC is a gap that needs to be addressed.…”

Section: Hazards and Monitoringmentioning

confidence: 99%

“…The most significant recent eruption, in terms of volume, occurred in 2015, as a long run-out pyroclastic flow of ca 10 km length. This was the largest event since the 1913 cycle-ending sub-Plinian eruption and was not preceded by any detectable precursors in terms of edifice inflation or seismic velocity variations (Lesage et al, 2018). The last explosion of the most recent phase occurred on the 3rd February 2017 and up to June 2022, there have been only low levels of seismic activity and low gas emissions.…”

mentioning

confidence: 94%

Monitoring ground movement at Volcán de Colima, Mexico, using Sentinel-1 data and SqueeSAR ^®

Mason

Bischoff²,

Hughes

et al. 2022

QJEGH

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Volcán de Colima is a highly active stratovolcano in western Mexico which presents a significant hazard to over 300,000 people who live within ca 40 km of the volcano. Due to its persistent activity, the volcano is actively monitored and researched, and understanding the patterns of behaviour is vital to accurate hazard assessment. Sentinel-1 SAR images from ascending and descending orbits allow 1D and 2D ground motions to be retrieved using multi-interferogram techniques. SqueeSAR ® ’s unique processing allows a better characterisation of subtle ground movements in remote, rural mountainous areas compared to many other multi-interferogram techniques. A dataset of 147 SAR scenes (2017-2019) has been processed to show patterns of lava subsidence (<150 mm of downward vertical deformation over 2 years), as well as volcano deflation and apparent westward lateral movement. These data indicate that viscous andesitic lava flows may remain mobile for years following eruption and emplacement, and that the entire volcanic edifice is subsiding. Despite the apparent quiescence, volcanic edifices can remain highly dynamic after the termination of explosive or effusive activity. We interpret that the western flank of Volcán de Colima may become steeper with time and may be of long-term concern for hazard assessment activities. Thematic collection: This article is part of the Remote sensing for site investigations on Earth and other planets collection available at: https://www.lyellcollection.org/topic/collections/remote-sensing-for-site-investigations-on-earth-and-other-planets

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Absence of Detectable Precursory Deformation and Velocity Variation Before the Large Dome Collapse of July 2015 at Volcán de Colima, Mexico

Cited by 14 publications

References 94 publications

Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014

Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014

Explosive Eruptions With Little Warning: Experimental Petrology and Volcano Monitoring Observations From the 2014 Eruption of Kelud, Indonesia

Monitoring ground movement at Volcán de Colima, Mexico, using Sentinel-1 data and SqueeSAR ^®

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Absence of Detectable Precursory Deformation and Velocity Variation Before the Large Dome Collapse of July 2015 at Volcán de Colima, Mexico

Cited by 14 publications

References 94 publications

Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014

Detection of pre-eruptive seismic velocity variations at an andesitic volcano using ambient noise correlation on 3-component stations: Ubinas volcano, Peru, 2014

Explosive Eruptions With Little Warning: Experimental Petrology and Volcano Monitoring Observations From the 2014 Eruption of Kelud, Indonesia

Monitoring ground movement at Volcán de Colima, Mexico, using Sentinel-1 data and SqueeSAR ®

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Monitoring ground movement at Volcán de Colima, Mexico, using Sentinel-1 data and SqueeSAR ^®