2014
DOI: 10.1002/2014gc005529
|View full text |Cite
|
Sign up to set email alerts
|

Understanding which parameters control shallow ascent of silicic effusive magma

Abstract: The estimation of the magma ascent rate is key to predicting volcanic activity and relies on the understanding of how strongly the ascent rate is controlled by different magmatic parameters. Linking potential changes of such parameters to monitoring data is an essential step to be able to use these data as a predictive tool. We present the results of a suite of conduit flow models Soufriè re that assess the influence of individual model parameters such as the magmatic water content, temperature or bulk magma c… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
12
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
6
1

Relationship

1
6

Authors

Journals

citations
Cited by 11 publications
(12 citation statements)
references
References 68 publications
0
12
0
Order By: Relevance
“…In recent years, several well‐monitored lava dome volcanoes have provided a wealth of geophysical data that are rapidly changing our understanding of eruption mechanisms. The integration of seismic and tilt signals has proven helpful to track pressure evolution during dome eruptions (Chouet & Matoza, ; Johnson et al, ; Thomas & Neuberg, ; Voight et al, ). Seismicity provides evidence for magma fracturing (Bean et al, ; Lamb et al, ; Neuberg et al, ) and gas flux (Chouet, ; Matoza et al, ) during transitions to explosive activity, while proximal monitoring of tilt signals at dome volcanoes has identified shallow (<500 m) inflation for several minutes prior to vulcanian explosions (Johnson et al, ; Lyons et al, ; Nishimura et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, several well‐monitored lava dome volcanoes have provided a wealth of geophysical data that are rapidly changing our understanding of eruption mechanisms. The integration of seismic and tilt signals has proven helpful to track pressure evolution during dome eruptions (Chouet & Matoza, ; Johnson et al, ; Thomas & Neuberg, ; Voight et al, ). Seismicity provides evidence for magma fracturing (Bean et al, ; Lamb et al, ; Neuberg et al, ) and gas flux (Chouet, ; Matoza et al, ) during transitions to explosive activity, while proximal monitoring of tilt signals at dome volcanoes has identified shallow (<500 m) inflation for several minutes prior to vulcanian explosions (Johnson et al, ; Lyons et al, ; Nishimura et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…The 2D axisymmetric flow modeling in this project builds upon the work of Collier and Neuberg (2006) and Thomas and Neuberg (2014), and is performed using the Laminar Flow Module in the finite element software COMSOL Multiphysics 5.3. 1D models have been used successfully to discern volcanic phenomena, such as lava dome extrusion (Melnik and Sparks, 1999) and plug formation (Diller et al, 2006).…”
Section: Flow Model Set-upmentioning
confidence: 99%
“…The gas volume fraction remaining in the magma is a key factor in determining whether magma fragmentation occurs, and therefore whether a subsequent eruption is effusive or explosive (Dingwell, 1996). Additionally, the remaining gas content influences both the viscosity (Llewellin and Manga, 2005) and density (Spera, 2000) of the bulk magma, and therefore provides a top-down control on the magma ascent rate (Thomas and Neuberg, 2014). Therefore, it is important to be able to quantify how much gas is lost from the system.…”
Section: Bubbly Magmamentioning
confidence: 99%
See 2 more Smart Citations