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  5. Effusion Rate Evolution During Small‐Volume Basaltic Eruptions: Insights From Numerical Modeling
 
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Effusion Rate Evolution During Small‐Volume Basaltic Eruptions: Insights From Numerical Modeling

Author(s)
Aravena, Álvaro  
Università di Firenze  
Cioni, Raffaello  
Università di Firenze  
Coppola, Diego  
Università di Torino  
de' Michieli Vitturi, Mattia  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia  
Neri, Augusto  
Istituto Nazionale di Geofisica e Vulcanologia (INGV), Sezione Pisa, Pisa, Italia  
Pistolesi, Marco  
Università di Pisa  
Ripepe, Maurizio  
Università di Firenze  
Language
English
Obiettivo Specifico
5V. Processi eruttivi e post-eruttivi
Status
Published
JCR Journal
JCR Journal
Peer review journal
Yes
Journal
Journal of Geophysical Research: Solid Earth  
Issue/vol(year)
/ 125 (2020)
Publisher
Wiley Agu
Pages (printed)
e2019JB01930
Date Issued
2020
DOI
10.1029/2019JB019301
URI
https://www.earth-prints.org/handle/2122/13800
Subjects
04.08. Volcanology  
Subjects

effusive eruption

basaltic eruptions

numerical modeling

Abstract
The temporal evolution of effusion rate is the main controlling factor of lava spreading and emplacement conditions. Therefore, it represents the most relevant parameter for characterizing the dynamics of effusive eruptions and thus for assessing the volcanic hazard associated with this type of volcanism. Since the effusion rate curves can provide important insights into the properties of the magma feeding system, several efforts have been performed for their classification and interpretation. Here, a recently published numerical model is employed for studying the effects of magma source and feeding dike properties on the main characteristics (e.g., duration, erupted mass, and effusion rate trend) of small‐volume effusive eruptions, in the absence of syn‐eruptive magma injection from deeper storages. We show that the total erupted mass is mainly controlled by magma reservoir conditions (i.e., dimensions and overpressure) prior to the eruption, whereas conduit processes along with reservoir properties can significantly affect mean effusion rate, and thus, they dramatically influence eruption duration. Simulations reproduce a wide variety of effusion rate trends, whose occurrence is controlled by the complex competition between conduit enlargement and overpressure decrease due to magma withdrawal. These effusion rate curves were classified in four groups, which were associated with the different types described in the literature. Results agree with the traditional explanation of effusion rate curves and provide new insights for interpreting them, highlighting the importance of magma reservoir size, initial overpressure, and initial width of the feeding dike in controlling the nature of the resulting effusion rate curve.
Type
article
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Aravena2020JGR.pdf

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