Colección SciELO Chile

Departamento Gestión de Conocimiento, Monitoreo y Prospección
Consultas o comentarios: productividad@anid.cl
Búsqueda Publicación
Búsqueda por Tema Título, Abstract y Keywords



Spatiotemporal Variation of Mantle Viscosity and the Presence of Cratonic Mantle Inferred From 8 Years of Postseismic Deformation Following the 2010 Maule, Chile, Earthquake
Indexado
WoS WOS:000448475100024
Scopus SCOPUS_ID:85053555694
DOI 10.1029/2018GC007645
Año 2018
Tipo artículo de investigación

Citas Totales

Autores Afiliación Chile

Instituciones Chile

% Participación
Internacional

Autores
Afiliación Extranjera

Instituciones
Extranjeras


Abstract



Plain Language Summary We used continuous GPS positioning data to study the viscosity distribution at depth and its time variation following the 2010 M-w 8.8 Maule, Chile, earthquake. We find that the viscosities in the volcanic/mountain range regions, where deep rocks are expected hot, are relatively low (i.e., the materials are in weak state prone to flow easily), while the viscosities in far regions, where an ancient cold crust is expected, are relatively high (i.e., the materials are too strong to flow). This finding can, therefore, be related to the temperature distribution at depth. Furthermore, we find that the viscosities in all regions except the region of ancient crust increase with time and the rate of viscosity recovery decreases with the distance to the earthquake location. This phenomenon can, therefore, be related to the earthquake-induced stresses. Another interesting thing found in this study is that the ancient crust is likely not influenced much by the earthquake and behaves very strong in all the observation time. In all, we propose that both temperature and earthquake stresses control the rock strengths following a great earthquake. This study thus contributes to our understanding of the stress evolution at depth through the earthquake cycle and hence mechanisms of the earthquake happening.

Métricas Externas



PlumX Altmetric Dimensions

Muestra métricas de impacto externas asociadas a la publicación. Para mayor detalle:

Disciplinas de Investigación



WOS
Geochemistry & Geophysics
Scopus
Sin Disciplinas
SciELO
Sin Disciplinas

Muestra la distribución de disciplinas para esta publicación.

Publicaciones WoS (Ediciones: ISSHP, ISTP, AHCI, SSCI, SCI), Scopus, SciELO Chile.

Colaboración Institucional



Muestra la distribución de colaboración, tanto nacional como extranjera, generada en esta publicación.


Autores - Afiliación



Ord. Autor Género Institución - País
1 Li, Shaoyang - GFZ German Res Ctr Geosci - Alemania
UNIV IOWA - Estados Unidos
Deutsches GeoForschungsZentrum (GFZ) - Alemania
University of Iowa - Estados Unidos
2 Bedford, Jonathan Hombre GFZ German Res Ctr Geosci - Alemania
Deutsches GeoForschungsZentrum (GFZ) - Alemania
3 MORENO-SWITT, MARCOS Hombre GFZ German Res Ctr Geosci - Alemania
Universidad de Concepción - Chile
Deutsches GeoForschungsZentrum (GFZ) - Alemania
4 Barnhart, William D. Hombre UNIV IOWA - Estados Unidos
University of Iowa - Estados Unidos
5 Rosenau, Matthias Hombre GFZ German Res Ctr Geosci - Alemania
Deutsches GeoForschungsZentrum (GFZ) - Alemania
6 Oncken, Onno Hombre GFZ German Res Ctr Geosci - Alemania
Deutsches GeoForschungsZentrum (GFZ) - Alemania

Muestra la afiliación y género (detectado) para los co-autores de la publicación.

Origen de Citas Identificadas



Muestra la distribución de países cuyos autores citan a la publicación consultada.

Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 10.53 %
Citas No-identificadas: 89.47 %

Muestra la distribución de instituciones nacionales o extranjeras cuyos autores citan a la publicación consultada.

Citas identificadas: Las citas provienen de documentos incluidos en la base de datos de DATACIENCIA

Citas Identificadas: 10.53 %
Citas No-identificadas: 89.47 %

Financiamiento



Fuente
Universidad de Concepción
Universidad de Chile
CONICYT/FONDAP
CIGIDEN
German Science Foundation
Fondo Nacional de Desarrollo Científico y Tecnológico
Comisión Nacional de Investigación Científica y Tecnológica
Deutsche Forschungsgemeinschaft
Millennium Scientific Initiative
Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias
Research Center for Integrated Disaster Risk Management (CIGIDEN)
Institut de Cardiologie de Montréal
Research Center for Integrated Disaster Risk Management
École Normale Supérieure
Chilean National Fund for Development of Science and Technology (FONDECYT)
German Science Foundation (DFG)
Chilean National Fund for Development of Science and Technology
Helmholtz-Gemeinschaft
Helmholtz Graduate Research School GeoSim
Millennium Nucleus The Seismic Cycle Along Subduction Zones - Millennium Scientific Initiative (ICM) of the Chilean Government
Science and Technology Development Fund
Nevada Geodetic Laboratory
Instituto Geografico Nacional de Argentina

Muestra la fuente de financiamiento declarada en la publicación.

Agradecimientos



Agradecimiento
Shaoyang Li was supported by a fellowship granted by the Helmholtz graduate research school GeoSim. Marcos Moreno acknowledges support from the Chilean National Fund for Development of Science and Technology (FONDECYT) grants 1181479, German Science Foundation (DFG) grants MO 2310/3-1, the Millennium Nucleus The Seismic Cycle Along Subduction Zones funded by the Millennium Scientific Initiative (ICM) of the Chilean Government grant NC160025, and Research Center for Integrated Disaster Risk Management (CIGIDEN), CONICYT/FONDAP 15110017. Jonathan Bedford is supported by the German Science Foundation (DFG) grant MO-2310/3-1. The postseismic daily time series are from Nevada Geodetic Laboratory (http://geodesy.unr.edu/index.php), and the raw data of the CAP project can be accessed through UNAVCO (doi:10.7283/T5348HPB). We acknowledge Michael Bevis, Benjamin Brooks, Universidad de Concepcion, Universidad de Chile, Instituto Geografico Nacional de Argentina, IPGP, ENS, GFZ-Potsdam, UNAVCO, and many other groups or agencies for sharing their data to the Nevada Geodetic Laboratory through the open data policy. Postseismic modeling results for this paper are available by contacting Shaoyang Li at shaoyang-li@uiowa.edu.The authors would like to thank the developers of the open source PyLith software for their ongoing dedication to the software development and generous technical support. Discussions with Oliver Heidbach, Roland Burgmann, and Kelin Wang on an earlier version of this paper are gratefully acknowledged, and the discussion with Iskander Muldashev was helpful. We are grateful for Corne Kreemer's assistance on data citation. We thank Maureen Long, Jeffrey T. Freymueller, and two anonymous reviewers for constructive comments that greatly improved this manuscript. Most of the figures in this paper were created with GMT software (Wessel & Smith, 1998).
Shaoyang Li was supported by a fellowship granted by the Helmholtz graduate research school GeoSim. Marcos Moreno acknowledges support from the Chilean National Fund for Development of Science and Technology (FONDECYT) grants 1181479, German Science Foundation (DFG) grants MO 2310/3-1, the Millennium Nucleus The Seismic Cycle Along Subduction Zones funded by the Millennium Scientific Initiative (ICM) of the Chilean Government grant NC160025, and Research Center for Integrated Disaster Risk Management (CIGIDEN), CONICYT/FONDAP 15110017. Jonathan Bedford is supported by the German Science Foundation (DFG) grant MO-2310/3-1. The postseismic daily time series are from Nevada Geodetic Laboratory (http://geodesy.unr.edu/index.php), and the raw data of the CAP project can be accessed through UNAVCO (doi:10.7283/T5348HPB). We acknowledge Michael Bevis, Benjamin Brooks, Universidad de Concepcion, Universidad de Chile, Instituto Geografico Nacional de Argentina, IPGP, ENS, GFZ-Potsdam, UNAVCO, and many other groups or agencies for sharing their data to the Nevada Geodetic Laboratory through the open data pol icy. Postseismic modeling results for this paper are available by contacting Shaoyang Li at shaoyang-li@uiowa.edu. The authors would like to thank the developers of the open source PyLith software for their ongoing dedication to the software development and generous technical support. Discussions with Oliver Heidbach, Roland Burgmann, and Kelin Wang on an earlier version of this paper are gratefully acknowledged, and the discussion with Iskander Muldashev was helpful. We are grateful for Corné Kreemer’s assistance on data citation. We thank Maureen Long, Jeffrey T. Freymueller, and two anonymous reviewers for constructive comments that greatly improved this manuscript. Most of the figures in this paper were created with GMT software (Wessel & Smith, 1998).

Muestra la fuente de financiamiento declarada en la publicación.