Duration–amplitude relationships of volcanic tremor and earthquake swarms preceding and during the 2009 eruption of Redoubt Volcano, Alaska

DeRoin, Nicole; McNutt, Stephen R.; Thompson, Glenn

doi:10.1016/j.jvolgeores.2015.01.003

Cited by 7 publications

(3 citation statements)

References 23 publications

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“…DeRoin et al . [] also investigated temporal change in a scaling relation and reported the clear shift from power law scaling to exponential scaling in association with the onset of volcanic activity that lead to the magmatic eruption. Since the scaling relations of volcanic tremors provide indirect information of changes in the state of subsurface properties, we suggest the importance and necessity of real‐time monitoring of scaling relations of volcanic tremor.…”

Section: Discussionmentioning

confidence: 99%

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Sudden changes in the amplitude‐frequency distribution of long‐period tremors at Aso volcano, southwest Japan

Sandanbata

Obara

Maeda

et al. 2015

Geophysical Research Letters

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We observed the activity of long‐period tremors (LPTs) with a period of ~15 s at Aso volcano, Japan, during a 3 year period including the 2014 eruptions. The number of LPTs detected systematically increased 3 months before the Strombolian eruptions. LPT activity can be divided into five stages based on rapid changes in the maximum LPT amplitude. The amplitude‐frequency relation follows an exponential distribution during each stage before the Strombolian eruptions, with different characteristic amplitudes for each stage, indicating that the scale of the source property changed in stages. However, during a stage that persisted for 6 days after the onset of Strombolian activity, the amplitude‐frequency relation temporarily followed a power law distribution, indicating that the LPT source process no longer had a characteristic scale. In the last stage, the amplitude‐frequency relation returned to an exponential distribution. We therefore conclude that the physical source of volcanic LPTs changed during the eruption period.

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Section: Discussionmentioning

confidence: 99%

“…DeRoin et al . [] investigated temporal change of a scaling relation of tremor episodes and earthquake swarms at Redoubt volcano in Alaska. They showed that episodes of tremor showed an exponential scaling, whereas background periods showed a power law scaling.…”

Section: Changes In the Amplitude‐frequency Distributionmentioning

confidence: 99%

Sudden changes in the amplitude‐frequency distribution of long‐period tremors at Aso volcano, southwest Japan

Sandanbata

Obara

Maeda

et al. 2015

Geophysical Research Letters

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“…The distribution of the duration-amplitude of volcanic tremor at several volcanoes in the world has been studied and found that all distribution patterns follow the exponential law model [9,[11][12][13][14]. The exponential scaling of tremor indicates that the source of the tremor must come from a scale-bound source.…”

Section: Introductionmentioning

confidence: 99%

The Duration Amplitude Distribution of Volcanic Tremor Recorded at Ijen Volcano, Indonesia

Wildani,

Maryanto,

Rahadi Santoso

et al. 2023

Mal. J. Fund. Appl. Sci.

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This research was conducted with the aim of explaining the physical processes that occur at the source. The duration-amplitude distribution is an amplitude scaling method that can describe the process of sustained earthquake sources such as volcanic tremors. The data used in this study are seismic data from Mount Ijen for the period from January to March 2012 and January to March 2014. Scaling the duration amplitude distribution is done by converting the amplitude to reduced displacement (DR). The cumulative duration is calculated with a range of 3-12 cm2 which is the lowest and highest reduced displacement values. The cumulative duration plot results are then adjusted to the power law model and the exponential model. a correlation coefficient (R2) was calculated to evaluate the fit for each of these models. The results showed that the R2 exponential model was higher than the R2 power law model for all events in both 2012 and 2014 and there was no transition between the two models. This indicates that the source process of the Ijen volcano volcanic tremor is related to the scale-bound source process and there was no source change in either 2012 or 2014. However, differences in amplitude characteristics were found in 2012 and 2014. The volcanic tremors in 2012 were stronger than those in 2014, according with the reality of changing the condition of the crater lake which is stronger in 2012. Volcanic tremors and changes in the Ijen crater lake are important for forecasting the eruption of the Ijen volcano.

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The 1986–2021 paroxysmal episodes at the summit craters of Mt. Etna: Insights into volcano dynamics and hazard

Andronico

Cannata

Grazia

et al. 2021

Earth-Science Reviews

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Duration–amplitude relationships of volcanic tremor and earthquake swarms preceding and during the 2009 eruption of Redoubt Volcano, Alaska

Cited by 7 publications

References 23 publications

Sudden changes in the amplitude‐frequency distribution of long‐period tremors at Aso volcano, southwest Japan

Sudden changes in the amplitude‐frequency distribution of long‐period tremors at Aso volcano, southwest Japan

The Duration Amplitude Distribution of Volcanic Tremor Recorded at Ijen Volcano, Indonesia

The 1986–2021 paroxysmal episodes at the summit craters of Mt. Etna: Insights into volcano dynamics and hazard

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