The Response of Repetitive Very‐Long‐Period Seismic Signals at Aso Volcano to Periodic Loading

Niu, Jieming; Song, Tae Bok

doi:10.1029/2021gl092728

Cited by 8 publications

(2 citation statements)

References 101 publications

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“…This change occurs soon after a heavy rainfall (Fig. S6) that might have affected the seismicity by perturbing the pore pressure in fluidfilled fractures embedded in the hydrothermal system 62 . Owing to the short period of observations (one month) www.nature.com/scientificreports/ with respect to the longer duration of the crisis, inferences on the source mechanism could be not exhaustive.…”

Section: Events Classificationmentioning

confidence: 99%

Distributed dynamic strain sensing of very long period and long period events on telecom fiber-optic cables at Vulcano, Italy

Currenti

Allegra

Cannavò

et al. 2023

Sci Rep

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Volcano-seismic signals can help for volcanic hazard estimation and eruption forecasting. However, the underlying mechanism for their low frequency components is still a matter of debate. Here, we show signatures of dynamic strain records from Distributed Acoustic Sensing in the low frequencies of volcanic signals at Vulcano Island, Italy. Signs of unrest have been observed since September 2021, with CO2 degassing and occurrence of long period and very long period events. We interrogated a fiber-optic telecommunication cable on-shore and off-shore linking Vulcano Island to Sicily. We explore various approaches to automatically detect seismo-volcanic events both adapting conventional algorithms and using machine learning techniques. During one month of acquisition, we found 1488 events with a great variety of waveforms composed of two main frequency bands (from 0.1 to 0.2 Hz and from 3 to 5 Hz) with various relative amplitudes. On the basis of spectral signature and family classification, we propose a model in which gas accumulates in the hydrothermal system and is released through a series of resonating fractures until the surface. Our findings demonstrate that fiber optic telecom cables in association with cutting-edge machine learning algorithms contribute to a better understanding and monitoring of volcanic hydrothermal systems.

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Section: Events Classificationmentioning

confidence: 99%

Distributed dynamic strain sensing of very long period and long period events on telecom fiber-optic cables at Vulcano, Italy

Currenti

Allegra

Cannavò

et al. 2023

Sci Rep

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show abstract

“…Transients on even short time scales are presumably associated with complex feedbacks during magma flow within the volcanic conduit. They are responsible for the generation of seismic and acoustic signals, which can be utilized as observational constraints on eruptive behavior (e.g., Niu and Song, 2021). Most eruption models, however, still assume steady behavior and the models required to address the multitude of transient behavior during volcanic eruptions remain at the vanguard of model development and application (e.g., La .…”

Section: Eruptive Magma Ascentmentioning

confidence: 99%

Modeling Volcano-Magmatic Systems: Workshop Report for the Modeling Collaboratory for Subduction Research Coordination Network

Gonnermann¹,

Anderson²

2021

Preprint

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This document summarizes the outcomes of the Modeling Collaboratory for Subduction Zone Science (MCS) Volcanic Systems Workshop and presents a vision for advancing collaborative modeling of volcano-magmatic systems. The U.S. Geological Survey (USGS) has identified 161 potentially active volcanoes in the United States and its territories, of which 57 are considered to be high or very high threats (Ewert et al., 2018). All western states, including Alaska and Hawaii, have potentially active volcanoes. Eruptions range from the quiet effusion of sluggish lava flows over hours to decades to immense explosive ejections of tephra which produce massive calderas.Understanding these volcanoes and assessing their threat to society requires the development of quantitative models, rooted in physics and chemistry, which can be used to interpret diverse observations including real-time monitoring data. Existing models have tremendously advanced our understanding of volcanic systems and have improved our ability to assess hazards and forecast future activity, contributing directly to reductions in the number of lives lost to volcanic eruptions and helping mitigate their costs to society. Magmatic system models also provide a quantitative framework for understanding processes that occur at depth beneath volcanoes, linking volcanic systems with a broad range of deeper processes associated with the production, transport, and storage of magma and associated fluids above subducting slabs.Despite this exciting progress much remains to be accomplished and workshop participants identified several important opportunities. First and foremost is the recognition that enhanced support for the development and dissemination of volcano-magmatic system models and associated methodologies will enable advances in ways not currently possible. A key outcome of the workshops is a recognition of the transformative potential of diverse groups of scientists working together on common problems. Support for collaborative working groups will enable communication across disciplines and between modelers and non-modelers, leveraging expertise from scientists studying different aspects of volcano-magmatic systems, and between geoscientists and outside experts from fields such as mathematics, statistics, and material sciences. Better support will also enable modelers to more fully verify, validate, benchmark, and document their codes, and also provide new training opportunities. Enhanced model sharing and interoperability will reduce the need for different groups to independently duplicate (re-invent) code and increase confidence in published results. This report lays out a proposal for a collaborative modeling environment that is centered in large part around community working groups manifested as workshops, summer schools, and sustained long-term research collaborations involving diverse groups of scientists working on common problems. Programmatic support is envisioned in the form of enhanced student and postdoc funding for model development, incentives and support for cross-disciplinary collaborative research projects, and related support for these activities. This support will fundamentally improve our ability to integrate and interpret observations using volcanic and magmatic system models.

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Feedback responses between endogenous and exogenous processes at Campi Flegrei caldera dynamics, Italy

Sahoo,

Kundu,

Petrosino

et al. 2024

Bull Volcanol

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The Response of Repetitive Very‐Long‐Period Seismic Signals at Aso Volcano to Periodic Loading

Cited by 8 publications

References 101 publications

Distributed dynamic strain sensing of very long period and long period events on telecom fiber-optic cables at Vulcano, Italy

Distributed dynamic strain sensing of very long period and long period events on telecom fiber-optic cables at Vulcano, Italy

Modeling Volcano-Magmatic Systems: Workshop Report for the Modeling Collaboratory for Subduction Research Coordination Network

Feedback responses between endogenous and exogenous processes at Campi Flegrei caldera dynamics, Italy

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