Monitoring Volcanic Deformation

Battaglia, Maurizio; Alpala, Jorge; Alpala, Rosa; Angarita, Mario; Arcos, Dario; Euillades, Leonardo; Euillades, Pablo A.; Muller, Cyrill; Narváez, Lourdes

doi:10.1016/b978-0-12-409548-9.10902-9

Cited by 7 publications

(5 citation statements)

References 78 publications

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“…Melt inclusion studies estimate water contents from both volcanoes at ∼3% (Benjamin et al., 2007; Di Piazza et al., 2019), which could equate to a shared reservoir at depth. This is supported by GPS (Battaglia et al., 2019) and gravity (Lücke et al., 2010), both models indicating that a shared body beneath both Irazú and Turrialba as the cause. Figure 9h compares the gravimetric data (Lücke et al., 2010) against our local‐scale tomography, confirming what appears to be a general agreement between the low V S values (ILV, Figure 10b and Figure S6b in Supporting Information S1), and the regions characterized by densities of 2.6 kg m −3 (Lücke et al., 2010).…”

Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 98%

“…This shallow deflection, or flexure, at 2 km depth may be caused by a small shallow magmatic reservoir. Geodetic data, measuring ground deformation of the ITVC (Battaglia et al, 2019) suggests a more complex plumbing system is required, for example, a superficial reservoir, to satisfy the significant residual velocities at Turrialba, supporting the existence of the SLV-T. Seismicity attributed to SO 2 degassing (Conde et al, 2014) contribute to the schematic magmatic system devised by DeVitre et al (2019). This schematic postulates an intermediate basaltic-andesitic magma storage region beneath Turrialba and Irazú, mixing with shallow rhyolitic residual magma from previous eruptive events ( de Moor et al, 2016;DeVitre et al, 2019;Rizzo et al, 2016), supporting our proposal of the ILV and SLV-T.…”

Section: Velocity Structure Of the Irazú-turrialba Volcanic Complexmentioning

confidence: 99%

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Magmatic and Tectonic Domains of Central Costa Rica and the Irazú‐Turrialba Volcanic Complex Revealed by Ambient Noise Tomography

et al. 2022

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Subduction driven processes in Costa Rica led to the development of volcanism, forming the active Central Costa Rican Volcanic Front (CCRVF). Located at the southernmost tip of the CCRVF is the active twin volcanic system, the Irazú-Turrialba Volcanic Complex (ITVC), 50 km north-east from Costa Rica's capital city, San Jose (Figure 1). The summits of each volcano are 10 km apart and form a complex that is about 60 km by 45 km at the base. To better understand these magmatic and tectonic domains, establishing the crustal structures beneath volcanic systems provides vital information into the implications of volcanism in Costa Rica.Despite being geographically close, the Irazú and Turrialba volcanoes undergo different eruptive cycles. This may partially be explained by the complex magmatic interactions between different reservoirs at depth as highlighted by geochemical and petrological data (Alvarado et al., 2006;DeVitre et al., 2019). Alvarado et al. (2006) suggest that Irazú is fed by two distinct magmatic reservoirs evolving in parallel and occasionally mixing. The

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Section: Discussionmentioning

confidence: 83%

Section: Discussionmentioning

confidence: 98%

Section: Velocity Structure Of the Irazú-turrialba Volcanic Complexmentioning

confidence: 99%

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Magmatic and Tectonic Domains of Central Costa Rica and the Irazú‐Turrialba Volcanic Complex Revealed by Ambient Noise Tomography

et al. 2022

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“…While this makes them very sensitive to environmental noise driven by, for example, temperature or soil moisture change, they can capture signals well below the detection thresholds of InSAR or GNSS. The preference of one technique over another, or their combination, depends on factors like logistics, funding, and constraints imposed by the host rock and subsurface process behavior (Battaglia et al., 2019), and (in the case of SAR satellite data) often data availability and mission priorities.…”

Section: Introductionmentioning

confidence: 99%

Versatile Modeling Of Deformation (VMOD) Inversion Framework: Application to 20 Years of Observations at Westdahl Volcano and Fisher Caldera, Alaska, US

Angarita,

Grapenthin,

Henderson

et al. 2024

Geochem Geophys Geosyst

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We developed an open source, extensible Python‐based framework, that we call the Versatile Modeling Of Deformation (VMOD), for forward and inverse modeling of crustal deformation sources. VMOD abstracts from specific source model implementations, data types and inversion methods. We implement the most common geodetic source models which can be combined to model and analyze multi‐source deformation. VMOD supports Global Navigation Satellite System (GNSS), InSAR, electronic distance measurement, Leveling and tilt data. To infer source characteristics from observations, VMOD implements non‐linear least squares and Markov Chain Monte‐Carlo Bayesian inversions, including joint inversions using different sources of data. VMOD's structure allows for easy integration of new geodetic models, data types, and inversion strategies. We benchmark the forward models against other published results and the inversion approaches against other implementations. We apply VMOD to analyze deformation at Unimak Island, Alaska, observed with continuous and campaign GNSS, and ascending and descending InSAR time series generated from Sentinel‐1 satellite radar acquisitions. These data show an inflation pattern at Westdahl volcano and subsidence at Fisher Caldera. We use VMOD to test a range of source models by jointly inverting the GNSS and InSAR data sets. Our final model simultaneously constrains the parameters of two sources. Our results reveal a depressurizing spheroid under Fisher Caldera ∼4–6 km deep, contracting at a rate of ∼2–3 Mm3/yr, and a pressurizing spherical source underneath Westdahl volcano ∼6–8 km deep, inflating at ∼5 Mm3/yr. This and past applications of VMOD to volcanic unrest benefit from an extensible framework which supports jointly inversions of data sets for parameters of easily composable multi‐source models.

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“…It is based in the availability of SAR scenes acquired along a time span using a consistent acquisition geometry, which means same orbits, sensor modes, and look angles. The range of problems addressed include volcano deformation (Battaglia et al, 2019), earthquake related displacements (Feng et al, 2017), oil and gas production-related uplift/subsidence (Kim and Lu, 2018), groundwater extraction related subsidence (Hoffmann et al, 2001), mining-related subsidence (Samsonov et al, 2014), landslides monitoring (Carlà et al, 2019), ice flow velocity measurement (Euillades et al, 2016), among others.…”

Section: Introductionmentioning

confidence: 99%

Subsidence in Maceio, Brazil, Characterized by Dinsar and Inverse Modeling

Euillades¹,

Euillades²,

Rosell³

et al. 2020

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. The city of Maceió has been historically affected by cracks and sink events in buildings and city infrastructure. Availability of a consistent Sentinel 1 Mission dataset between 2014 and 2019 allows characterizing the undergoing crustal deformation process that provokes such effects. We processed a dataset of 81 SAR scenes using the DInSAR-SBAS time-series technique, which allowed us to obtain mean velocity of deformation and deformation time series. Detected displacement patterns show subsidence concentrated in the Mundaú lagoon coast in front of Mutange, Pinheiro and Levada neighbourhoods. Inversion of the results, using analytical models, locates a sill-like source at ∼400 m depth and with a radius of ∼0.8 km. Its depth would be compatible with re-activation of the Mutange fault system, possibly related to salt mining operations in the area. Further investigation is needed to better constrain the deformation source and to identify if the observed process was active before the analysed time span.

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Monitoring Volcanic Deformation

Cited by 7 publications

References 78 publications

Magmatic and Tectonic Domains of Central Costa Rica and the Irazú‐Turrialba Volcanic Complex Revealed by Ambient Noise Tomography

Magmatic and Tectonic Domains of Central Costa Rica and the Irazú‐Turrialba Volcanic Complex Revealed by Ambient Noise Tomography

Versatile Modeling Of Deformation (VMOD) Inversion Framework: Application to 20 Years of Observations at Westdahl Volcano and Fisher Caldera, Alaska, US

Subsidence in Maceio, Brazil, Characterized by Dinsar and Inverse Modeling

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