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Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model
Nowcasting earthquakes, suggested recently as a method to estimate the state of a fault and hence the seismic risk, is based on the concept of natural time. Here, we generalize nowcasting to a prediction method the merits of which are evaluated by means of the receiver operating characteristics. Thi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712535/ https://www.ncbi.nlm.nih.gov/pubmed/33286996 http://dx.doi.org/10.3390/e22111228 |
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author | Perez-Oregon, Jennifer Angulo-Brown, Fernando Sarlis, Nicholas Vassiliou |
author_facet | Perez-Oregon, Jennifer Angulo-Brown, Fernando Sarlis, Nicholas Vassiliou |
author_sort | Perez-Oregon, Jennifer |
collection | PubMed |
description | Nowcasting earthquakes, suggested recently as a method to estimate the state of a fault and hence the seismic risk, is based on the concept of natural time. Here, we generalize nowcasting to a prediction method the merits of which are evaluated by means of the receiver operating characteristics. This new prediction method is applied to a simple (toy) model for the waiting (natural) time of the stronger earthquakes, real seismicity, and the Olami-Feder-Christensen earthquake model with interesting results revealing acceptable to excellent or even outstanding performance. |
format | Online Article Text |
id | pubmed-7712535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77125352021-02-24 Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model Perez-Oregon, Jennifer Angulo-Brown, Fernando Sarlis, Nicholas Vassiliou Entropy (Basel) Article Nowcasting earthquakes, suggested recently as a method to estimate the state of a fault and hence the seismic risk, is based on the concept of natural time. Here, we generalize nowcasting to a prediction method the merits of which are evaluated by means of the receiver operating characteristics. This new prediction method is applied to a simple (toy) model for the waiting (natural) time of the stronger earthquakes, real seismicity, and the Olami-Feder-Christensen earthquake model with interesting results revealing acceptable to excellent or even outstanding performance. MDPI 2020-10-28 /pmc/articles/PMC7712535/ /pubmed/33286996 http://dx.doi.org/10.3390/e22111228 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Perez-Oregon, Jennifer Angulo-Brown, Fernando Sarlis, Nicholas Vassiliou Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model |
title | Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model |
title_full | Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model |
title_fullStr | Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model |
title_full_unstemmed | Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model |
title_short | Nowcasting Avalanches as Earthquakes and the Predictability of Strong Avalanches in the Olami-Feder-Christensen Model |
title_sort | nowcasting avalanches as earthquakes and the predictability of strong avalanches in the olami-feder-christensen model |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712535/ https://www.ncbi.nlm.nih.gov/pubmed/33286996 http://dx.doi.org/10.3390/e22111228 |
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