scholarly journals Global volcanic earthquake swarm database 1979-1989

1996 ◽  
Author(s):  
J.P. Benoit ◽  
S.R. McNutt
Keyword(s):  
Earthquake Swarm ◽  
Volcanic Earthquake

An application of a stochastic model to a volcanic earthquake swarm

1975 ◽  
Vol 65 (2) ◽  
pp. 351-357
Author(s):  
John Filson ◽  
Tom Simkin
Keyword(s):  
Stochastic Model ◽  
Energy Release ◽  
Earthquake Swarm ◽  
Seismic Energy ◽  
Volcanic Earthquake ◽  
Model Studies ◽  
Seismic Energy Release ◽  
Earthquake Model ◽  
Event Occurrence

abstract The Kolomogorov model of event occurrence as developed by Knopoff in earthquake model studies has been applied to a volcanic earthquake swarm. It is shown that in this case, where the rate of seismic energy release was nearly constant in time, the model adequately relates the various seismicity statistics of the swarm.

scholarly journals Spatial distribution of crack structure in the focal area of a volcanic earthquake swarm at the Hakone volcano, Japan

2013 ◽  
Vol 65 (1) ◽  
pp. 51-55 ◽  
Author(s):  
Yu Nihara ◽  
Keiichi Tadokoro ◽  
Yohei Yukutake ◽  
Ryou Honda ◽  
Hiroshi Ito
Keyword(s):  
Spatial Distribution ◽  
Earthquake Swarm ◽  
Volcanic Earthquake ◽  
Hakone Volcano ◽  
Focal Area

scholarly journals The Volcanic Earthquake Swarm of October 20, 2009 in the Tatun Area of Northern Taiwan

2014 ◽  
Vol 25 (5) ◽  
pp. 625 ◽  
Author(s):  
Hsin-Chieh Pu ◽  
Cheng-Horng Lin ◽  
Yu-Chih Huang ◽  
Li-Chin Chang ◽  
Hsiao-Fen Lee ◽  
...  
Keyword(s):  
Earthquake Swarm ◽  
Volcanic Earthquake ◽  
Northern Taiwan

Statistical analysis of tidal effect on non-volcanic earthquake swarm activity in Wakayama Prefecture, southwest Japan

2021 ◽  
Author(s):  
Kazuki Machida ◽  
Hiroyuki Nagahama ◽  
Jun Muto
Keyword(s):  
Normal Stress ◽  
Earthquake Swarm ◽  
Tohoku Earthquake ◽  
Rate Variation ◽  
Volcanic Earthquake ◽  
Seismicity Rate ◽  
Tidal Forces ◽  
Tidal Triggering ◽  
Tidal Stress ◽  
Swarm Activity

<p>Earthquakes occur when the fault stress accumulates to the critical level. External forces such as tidal forces may contributes to the triggering of earthquakes reaching the critical state. For example, in the case of 2011 Tohoku Earthquake, it is reported that there is a correlation between tidal forces and the earthquakes prior to the mainshock. Earthquakes with smaller magnitude are also affected by tidal forces and expected to show correlation with tidal forces.</p><p>Tidal triggering of non-volcanic seismic swarm has not been well documented. So, we choose the Wakayama Prefecture as a targeting region. The cause of the earthquakes occurring in the region is considered to be the presence of the water below the seismogenic depth. The swarm activity continues from 1980s. We analyzed the shallow earthquakes in the northern part of Wakayama Prefecture from 1998 to 2016. We used statistical method called Schuster test to analyze correlation between earthquakes and tidal stress.</p><p>The result of the analysis shows that the earthquakes have a correlation with tidal forces which have the periodicity near the half of the lunar day and the amplitude of the seismicity-rate variation is about 16% of the average earthquake frequency. Correlation between the earthquakes and tidal forces is stronger at the periods when larger number of earthquakes occur. From tidal stress calculation, it is found that both solid tide and oceanic tide are important at this region. This study confirms that most of the earthquakes larger than M<sub>w</sub> 4 in the region occur in the rising period of tidal normal stress or just after the maximum of tidal normal stress. Therefore, tidal observation gives information about the criticality of rocks and temporal heterogeneity of the earthquake occurrence.</p>

Electrical resistivity variation connected to volcanic earthquake in the Campi Flegrei, Italy

2020 ◽  
Author(s):  
daniela tarallo ◽  
Giuseppe Cavuoto ◽  
Vincenzo Di Fiore ◽  
Nicola Pelosi ◽  
Michele Punzo ◽  
...  
Keyword(s):  
Electrical Resistivity ◽  
Earthquake Swarm ◽  
Fluid Pressure ◽  
Source Area ◽  
Campi Flegrei ◽  
Present Observation ◽  
Volcanic Earthquake ◽  
Resistivity Variation ◽  
Pressurized Fluids ◽  
Fluid Pressurization

<p>In this study we show an 2D Electrical Resistivity Tomography (ERT) survey acquired in Agnano site pre (Dec 5<sup>th</sup>, 2019) and post (Dec 12<sup>th</sup>, 2019) earthquake events occurred in Pisciarelli-Solfatara areas. This earthquake swarm consisted of sequence of 34 earthquakes with Magnitude (Md) -1.1≤Md≤2.8 at depths between 0.9 and 2.3 km. In particular, the earthquake of Dec 06<sup>th</sup>, 2019 at 00:17 UTC with Md = 2.8 (depth 2 km) was the maximum recorded event since bradyseismic crisis began in 2005.</p><p>The ERT survey allow us to identify the main structural boundaries (and their associated fluid circulations) defining the shallow architecture of the Agnano volcano. The hydrothermal system is identified by very low values of the electrical resistivity (<20 Ω m). Its downwards extension is clearly limited by the lava and pyroclastic fragments, which are relatively resistive (>100 Ω m). The resistivity values are increased after the main shock. This increase in resistivity may have been caused by a change in the state of stress and a decrease in pore pressure (subsequent depressurization). Previously to the earthquake, an increase in pressurized fluids has been observed which have reduced the resistivity values. The present observation suggests that the temporal variation of the resistivity values is related to the variation of the pore fluid pressure in the source area of the swarm, facilitated by earthquake and the subsequent fluid diffusion. The combination of these qualitative results with structural analysis leads to a synthetic model of magmatic and hydrothermal fluids circulation inside the Agnano area, which may be useful for the assessment of potential hazards associated with a renewal of fluid pressurization, and a possibly associated partial flank-failure.</p>

Correction to “Seismically and geodetically determined nondouble-couple source mechanisms from the 2000 Miyakejima volcanic earthquake swarm”

2008 ◽  
Vol 113 (B10) ◽  
Author(s):  
Sarah E. Minson ◽  
Douglas S. Dreger ◽  
Roland Bürgmann ◽  
Hiroo Kanamori ◽  
Kristine M. Larson
Keyword(s):  
Earthquake Swarm ◽  
Volcanic Earthquake ◽  
Source Mechanisms

scholarly journals Seismically and geodetically determined nondouble-couple source mechanisms from the 2000 Miyakejima volcanic earthquake swarm

2007 ◽  
Vol 112 (B10) ◽  
Author(s):  
Sarah E. Minson ◽  
Douglas S. Dreger ◽  
Roland Bürgmann ◽  
Hiroo Kanamori ◽  
Kristine M. Larson
Keyword(s):  
Earthquake Swarm ◽  
Volcanic Earthquake ◽  
Source Mechanisms

The nature of volcanic earthquake swarm preceding the 2000 flank eruption at Usu volcano, Hokkaido, Japan

2005 ◽  
Vol 163 (1) ◽  
pp. 265-275 ◽  
Author(s):  
Vyacheslav M. Zobin ◽  
Yuichi Nishimura ◽  
Jun'ichi Miyamura
Keyword(s):  
Earthquake Swarm ◽  
Volcanic Earthquake ◽  
Flank Eruption ◽  
Usu Volcano

scholarly journals Non-Volcanic Earthquake Swarm Near the Harrat Lunayyir Volcanic Field, Saudi Arabia

2020 ◽  
Author(s):  
Mohammad Youssof ◽  
P. Martin Mai ◽  
Adriano Nobile ◽  
Sigurjón Jónsson
Keyword(s):  
Saudi Arabia ◽  
Earthquake Swarm ◽  
Volcanic Field ◽  
Volcanic Earthquake ◽  
Harrat Lunayyir

scholarly journals Global volcanic earthquake swarm database and preliminary analysis of volcanic earthquake swarm duration

1996 ◽  
Vol 39 (2) ◽  
Author(s):  
J. P. Benoit ◽  
S. R. McNutt
Keyword(s):  
Preliminary Analysis ◽  
Geometric Mean ◽  
Earthquake Swarm ◽  
General Information ◽  
Earthquake Swarms ◽  
Volcanic Earthquake ◽  
Physical Processes ◽  
Reliable Parameter ◽  
Volcanic Earthquake Swarms ◽  
Global Data

Global data from 1979 to 1989 pertaining to volcanic earthquake swarms have been compiled into a custom-designed relational database. The database is composed of three sections: 1) a section containing general information on volcanoes, 2) a section containing earthquake swarm data (such as dates of swarm occurrence and durations), and 3) a section containing eruption information. The most abundant and reliable parameter, duration of volcanic earthquake swarms, was chosen for preliminary analysis. The distribution of all swarm durations was found to have a geometric mean of 5.5 days. Precursory swarms were then separated from those not associated with eruptions. The geometric mean precursory swarm duration was 8 days whereas the geometric mean duration of swarms not associated with eruptive activity was 3.5 days. Two groups of precursory swarms are apparent when duration is compared with the eruption repose time. Swarms with durations shorter than 4 months showed no clear relationship with the eruption repose time. However, the second group, lasting longer than 4 months, showed a significant positive correlation with the log10 of the eruption repose period. The two groups suggest that different suites of physical processes are involved in the generation of volcanic earthquake swarms.

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