Near-Real time analysis of seismic data of active volcanoes:  Software implementations of time sequence data analysis

Vilà, Joaquim; Ortiz, R.; Tárraga, Marta; Macià, Ramón; García, Alicia García; Kumar, Dr.S.V.Jayarama; Correig, Antoni M.

doi:10.5194/nhess-8-789-2008

Cited by 6 publications

(11 citation statements)

References 15 publications

(13 reference statements)

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“…The durations (100-200 days) of this downslope are signi cantly longer than the previously reported accelerating precursors tted to FFM (less than several days or at most 10 days) 4,5,23,45 . The SBL acceleration may signify that some catastrophic processes had been slowly developing at the shallow depths of Shinmoe-dake for many months before the eruptions.…”

Section: Discussionmentioning

confidence: 54%

Seismic background level growth can reveal slowly developing long-term eruption precursors

Ichihara

Ohminato

Konstantinou

et al. 2023

Preprint

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The accelerating growth of seismic unrest before eruptions has been observed at many volcanoes and utilized for eruption forecasts. However, there are still many eruptions for which no precursory unrest has been identified, even at well-monitored volcanoes. The recent eruptions of Shinmoe-dake, Japan, had been another negative example of this kind. Here we present seismological evidence that the eruption preparation had been ongoing at the shallow depths beneath Shinmoe-dake for several months to a year. We investigated the seismic background level (SBL) of eleven-year data recorded around the volcano, including two stations about 1 km from the eruptive crater. We searched for persistent weak signals, focusing on low-amplitude time windows recorded during quiet nighttime. Then the spectra of daily background noise were classified by clustering analysis. The SBL analysis successfully revealed very weak precursory tremors from more than several months before the eruption, and residual tremors to the end of the eruptive period. The precursory signals grew acceleratory in a similar way as is assumed in the material failure forecast method applied to eruption forecasts. However, their growth was significantly slower and longer compared to previous cases. Such slow and quiet preparations would not be captured by conventional seismological methods but could be a common feature at volcanoes with developed hydrothermal systems. We expect that long-term SBL analyses on proximal seismic data will help detect early precursors, even at seismically quiet volcanoes, and will also help judge the end of an eruptive period.

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Section: Discussionmentioning

confidence: 54%

Seismic background level growth can reveal slowly developing long-term eruption precursors

Ichihara

Ohminato

Konstantinou

et al. 2023

Preprint

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“…Changes systematically altering the amplitude and/or predominant frequencies of the background seismic noise can be detected using these methods of analysis in a given volcanic region. It is particularly important to mention the Base Level Noise Seismic Signal (BLNSS) [Vila et al, 2006[Vila et al, , 2008, which proved to be very useful in monitoring the 2003-2005 unrest episode of the Teide volcano. Through this method it was possible to report changes in the internal process of the Teide volcano.…”

Section: Analysis Of Continuous Seismic Signalsmentioning

confidence: 99%

“…Seismic energy release in the band 1-10 Hz significantly increases between 25 November and 03 December 2004, and decreases afterwards. On 03 December 2004 a fracture with fumaroles opened close toBenijos village (28º34' 20'' N;16º 11' 14'' W) (Garcia et al, 2006;Vila et al, 2006Vila et al, , 2008.…”

mentioning

confidence: 99%

Volcanic and volcano-tectonic activity forecasting: a review on seismic approaches

Ramis

García

Marrero³

et al. 2018

Annals of Geophysics

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Forecasting volcanic activity is a difficult problem that is being addressed worldwide from different perspectives. Significant advances have been made after the introduction of non-linear dynamical systems theory and the use of power-law distributions of different geophysical parameters in the Earth Sciences. In particular, frequency-magnitude power-law statistics evidences the scale-invariance and self-organization of seismicity, and brittle fracture models show that under certain conditions, a precursory causal evolution characterized by an accelerating strain rate culminates in a catastrophic failure of the system under stress. The precursory organization of the seismicity and the distinct characteristics of the seismic events have allowed the development of forecasting tools. In this work we present some examples of forecasting methods based on seismic observations at different volcanoes in the world, and how results and experiences has been used to improve both hardware and software tools developed for short-term forecasting of volcanic and seismo-volcanic activity.

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“…This parameter can be used to show the intensity of the seismic signal in a specific frequency band. This method was previously used in the near-real-time analysis of several active volcanoes, including Villarrica volcano (Chile), Tungurahua volcano (Ecuador), and Teide volcano (Spain) [15]. The Teide volcano showed increased activity in early 2003 after 30 years of quiet periods [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…This method was previously used in the near-real-time analysis of several active volcanoes, including Villarrica volcano (Chile), Tungurahua volcano (Ecuador), and Teide volcano (Spain) [15]. The Teide volcano showed increased activity in early 2003 after 30 years of quiet periods [15,16]. PSD calculation results show the intensity of the seismic signal in several frequency bands related to increasing of the volcano activity.…”

Section: Introductionmentioning

confidence: 99%

Ambient Seismic Noise Analysis Associated with the 2010 Eruption of Merapi Volcano Using Temporal Variations of Randomness and Background Noise

Rakhman

Wahyudi

Santoso

et al. 2020

International Journal of Geophysics

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We present the combination of permutation entropy (PE) and power spectral density (PSD) analysis on continuous seismic data recorded by short-period seismic stations during the 2010 Merapi volcano eruption. The calculation of PE aims at characterizing the randomness level in seismic noise, while the PSD parameters use to detect the background noise level in various frequency bands. It was previously observed that a significant reduction of randomness before the volcano eruption could be indicated as one of the short-term precursors due to the lack of high frequencies (>1 Hz) in the noise wave-field caused by high absorption losses as the hot magma uprises to the upper crust. The results show no significant reduction in signal randomness before the eruption series. The characteristic of events during the preeruptive period and the crisis tends to be chaotic (PE in the range 0.9 to 1). Further calculations show that the standard deviation in PE decreased in four days before the first eruption onset on 26 October. PE was stable at the highest values (very close to 1) and gradually returned to the previous fluctuation after the eruption onset. The level of background noise in the low- and high-frequency bands appeared to have the same tendency. The two main eruptions correspond to the two highest peaks of noise levels.

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Near-Real time analysis of seismic data of active volcanoes: Software implementations of time sequence data analysis

Cited by 6 publications

References 15 publications

Seismic background level growth can reveal slowly developing long-term eruption precursors

Seismic background level growth can reveal slowly developing long-term eruption precursors

Volcanic and volcano-tectonic activity forecasting: a review on seismic approaches

Ambient Seismic Noise Analysis Associated with the 2010 Eruption of Merapi Volcano Using Temporal Variations of Randomness and Background Noise

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