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Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering

Damaging earthquakes result from the evolution of stress in the brittle upper-crust, but the understanding of the mechanics of faulting cannot be achieved by only studying the large ones, which are rare. Considering a fault as a complex system, microearthquakes allow to set a benchmark in the system...

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Autores principales: Picozzi, Matteo, Bindi, Dino, Zollo, Aldo, Festa, Gaetano, Spallarossa, Daniele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838128/
https://www.ncbi.nlm.nih.gov/pubmed/31700092
http://dx.doi.org/10.1038/s41598-019-52756-8
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author Picozzi, Matteo
Bindi, Dino
Zollo, Aldo
Festa, Gaetano
Spallarossa, Daniele
author_facet Picozzi, Matteo
Bindi, Dino
Zollo, Aldo
Festa, Gaetano
Spallarossa, Daniele
author_sort Picozzi, Matteo
collection PubMed
description Damaging earthquakes result from the evolution of stress in the brittle upper-crust, but the understanding of the mechanics of faulting cannot be achieved by only studying the large ones, which are rare. Considering a fault as a complex system, microearthquakes allow to set a benchmark in the system evolution. Here, we investigate the possibility to detect when a fault system starts deviating from a predefined benchmark behavior by monitoring the temporal and spatial variability of different micro-and-small magnitude earthquakes properties. We follow the temporal evolution of the apparent stress and of the event-specific residuals of ground shaking. Temporal and spatial clustering properties of microearthquakes are monitored as well. We focus on a fault system located in Southern Italy, where the M(w) 6.9 Irpinia earthquake occurred in 1980. Following the temporal evolution of earthquakes parameters and their time-space distribution, we can identify two long-lasting phases in the seismicity patterns that are likely related to high pressure fluids in the shallow crust, which were otherwise impossible to decipher. Monitoring temporal and spatial variability of micro-to-small earthquakes source parameters at near fault observatories can have high potential as tool for providing us with new understanding of how the machine generating large earthquakes works.
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spelling pubmed-68381282019-11-14 Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering Picozzi, Matteo Bindi, Dino Zollo, Aldo Festa, Gaetano Spallarossa, Daniele Sci Rep Article Damaging earthquakes result from the evolution of stress in the brittle upper-crust, but the understanding of the mechanics of faulting cannot be achieved by only studying the large ones, which are rare. Considering a fault as a complex system, microearthquakes allow to set a benchmark in the system evolution. Here, we investigate the possibility to detect when a fault system starts deviating from a predefined benchmark behavior by monitoring the temporal and spatial variability of different micro-and-small magnitude earthquakes properties. We follow the temporal evolution of the apparent stress and of the event-specific residuals of ground shaking. Temporal and spatial clustering properties of microearthquakes are monitored as well. We focus on a fault system located in Southern Italy, where the M(w) 6.9 Irpinia earthquake occurred in 1980. Following the temporal evolution of earthquakes parameters and their time-space distribution, we can identify two long-lasting phases in the seismicity patterns that are likely related to high pressure fluids in the shallow crust, which were otherwise impossible to decipher. Monitoring temporal and spatial variability of micro-to-small earthquakes source parameters at near fault observatories can have high potential as tool for providing us with new understanding of how the machine generating large earthquakes works. Nature Publishing Group UK 2019-11-07 /pmc/articles/PMC6838128/ /pubmed/31700092 http://dx.doi.org/10.1038/s41598-019-52756-8 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Picozzi, Matteo
Bindi, Dino
Zollo, Aldo
Festa, Gaetano
Spallarossa, Daniele
Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
title Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
title_full Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
title_fullStr Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
title_full_unstemmed Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
title_short Detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
title_sort detecting long-lasting transients of earthquake activity on a fault system by monitoring apparent stress, ground motion and clustering
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6838128/
https://www.ncbi.nlm.nih.gov/pubmed/31700092
http://dx.doi.org/10.1038/s41598-019-52756-8
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