A Multiphysics Approach to Constrain the Dynamics of the Altiplano-Puna Magmatic System

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • A Spang
  • TS Baumann
  • BJP Kaus
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000678880700018&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1029/2021JB021725
eISSN
2169-9356
Externe Identifier
  • Clarivate Analytics Document Solution ID: TR3PN
ISSN
2169-9313
Ausgabe der Veröffentlichung
7
Zeitschrift
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH
Schlüsselwörter
  • 3D geodynamic modeling
  • gravity modeling
  • variable geometry
  • parameter sensitivity
  • Bayesian inference
  • APMB
Artikelnummer
ARTN e2021JB021725
Datum der Veröffentlichung
2021
Status
Published
Titel
A Multiphysics Approach to Constrain the Dynamics of the Altiplano-Puna Magmatic System
Sub types
  • Article
Ausgabe der Zeitschrift
126

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:title>Abstract</jats:title><jats:p>Continuous Interferometric Synthetic Aperture Radar (InSAR) monitoring (&gt;25 years) has revealed a concentric surface deformation pattern above the Altiplano‐Puna magma body (APMB) in the central Andes. Here, we use a joint interpretation of seismic imaging, gravity anomalies, and InSAR data to constrain location, 3D geometry, and density of the magma body. By combining gravity modeling, thermomechanical modeling, scaling law analysis, and Bayesian inference, we are able to create a relationship between the geometry of a mid‐crustal magma body and surface observations. Furthermore, we can estimate the uncertainties associated with the geometry of the APMB and identify the most important parameters that control the dynamics of the system. We constrain the density contrast between the APMB and the surrounding host rock to 90–130 kg m<jats:sup>−3</jats:sup> (2<jats:italic>σ</jats:italic>) and the associated melt fraction to 15%–22%. Our visco‐elasto‐plastic 3D thermomechanical model reproduces the observed surface deformation self‐consistently by buoyancy driven magma transport without the need for additional pressure sources. The flow pattern is controlled by a central rise at the top of the APMB whose geometry can be constrained with the help of InSAR observations while Bouguer anomalies constrain the deeper parts of the APMB. Automated scaling law analysis shows that the rheology of the upper crust and the magma mush as well as the density contrast between the two are the most important parameters in the system and need to be constrained for a better understanding of the subsurface processes.</jats:p>
Autoren
  • A Spang
  • TS Baumann
  • BJP Kaus
DOI
10.1029/2021jb021725
eISSN
2169-9356
ISSN
2169-9313
Ausgabe der Veröffentlichung
7
Zeitschrift
Journal of Geophysical Research: Solid Earth
Sprache
en
Online publication date
2021
Datum der Veröffentlichung
2021
Status
Published
Herausgeber
American Geophysical Union (AGU)
Herausgeber URL
http://dx.doi.org/10.1029/2021jb021725
Datum der Datenerfassung
2024
Titel
A Multiphysics Approach to Constrain the Dynamics of the Altiplano‐Puna Magmatic System
Ausgabe der Zeitschrift
126

Datenquelle: Crossref

Author's licence
CC-BY-NC
Autoren
  • Arne Spang
  • Tobias Baumann
  • Boris Kaus
Hosting institution
Universitätsbibliothek Mainz
Sammlungen
  • JGU-Publikationen
Resource version
Published version
DOI
10.1029/2021JB021725
File(s) embargoed
false
Open access
true
ISSN
2169-9356
Ausgabe der Veröffentlichung
7
Zeitschrift
Journal of geophysical research : B, Solid earth
Schlüsselwörter
  • 550 Geowissenschaften
  • 550 Earth sciences
Sprache
eng
Open access status
Open Access
Paginierung
e2021JB021725
Datum der Veröffentlichung
2021
Public URL
https://openscience.ub.uni-mainz.de/handle/20.500.12030/8085
Herausgeber
Wiley
Datum der Datenerfassung
2022
Datum, an dem der Datensatz öffentlich gemacht wurde
2022
Zugang
Public
Titel
A multiphysics approach to constrain the dynamics of the Altiplano-Puna magmatic system
Ausgabe der Zeitschrift
126

Files

a_multiphysics_approach_to_co-20221017114653317.pdf

Datenquelle: OPENSCIENCE.UB

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