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Afterslip Moment Scaling and Variability From a Global Compilation of Estimates
Aseismic afterslip is postseismic fault sliding that may significantly redistribute crustal stresses and drive aftershock sequences. Afterslip is typically modeled through geodetic observations of surface deformation on a case‐by‐case basis, thus questions of how and why the afterslip moment varies...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287082/ https://www.ncbi.nlm.nih.gov/pubmed/35865712 http://dx.doi.org/10.1029/2021JB023897 |
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author | Churchill, R. M. Werner, M. J. Biggs, J. Fagereng, Å. |
author_facet | Churchill, R. M. Werner, M. J. Biggs, J. Fagereng, Å. |
author_sort | Churchill, R. M. |
collection | PubMed |
description | Aseismic afterslip is postseismic fault sliding that may significantly redistribute crustal stresses and drive aftershock sequences. Afterslip is typically modeled through geodetic observations of surface deformation on a case‐by‐case basis, thus questions of how and why the afterslip moment varies between earthquakes remain largely unaddressed. We compile 148 afterslip studies following 53 M ( w )6.0–9.1 earthquakes, and formally analyze a subset of 88 well‐constrained kinematic models. Afterslip and coseismic moments scale near‐linearly, with a median Spearman's rank correlation coefficient (CC) of 0.91 after bootstrapping (95% range: 0.89–0.93). We infer that afterslip area and average slip scale with coseismic moment as [Formula: see text] and [Formula: see text] , respectively. The ratio of afterslip to coseismic moment (M ( rel )) varies from <1% to >300% (interquartile range: 9%–32%). M ( rel ) weakly correlates with M ( o ) (CC: −0.21, attributed to a publication bias), rupture aspect ratio (CC: −0.31), and fault slip rate (CC: 0.26, treated as a proxy for fault maturity), indicating that these factors affect afterslip. M ( rel ) does not correlate with mainshock dip, rake, or depth. Given the power‐law decay of afterslip, we expected studies that started earlier and spanned longer timescales to capture more afterslip, but M ( rel ) does not correlate with observation start time or duration. Because M ( rel ) estimates for a single earthquake can vary by an order of magnitude, we propose that modeling uncertainty currently presents a challenge for systematic afterslip analysis. Standardizing modeling practices may improve model comparability, and eventually allow for predictive afterslip models that account for mainshock and fault zone factors to be incorporated into aftershock hazard models. |
format | Online Article Text |
id | pubmed-9287082 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92870822022-07-19 Afterslip Moment Scaling and Variability From a Global Compilation of Estimates Churchill, R. M. Werner, M. J. Biggs, J. Fagereng, Å. J Geophys Res Solid Earth Research Article Aseismic afterslip is postseismic fault sliding that may significantly redistribute crustal stresses and drive aftershock sequences. Afterslip is typically modeled through geodetic observations of surface deformation on a case‐by‐case basis, thus questions of how and why the afterslip moment varies between earthquakes remain largely unaddressed. We compile 148 afterslip studies following 53 M ( w )6.0–9.1 earthquakes, and formally analyze a subset of 88 well‐constrained kinematic models. Afterslip and coseismic moments scale near‐linearly, with a median Spearman's rank correlation coefficient (CC) of 0.91 after bootstrapping (95% range: 0.89–0.93). We infer that afterslip area and average slip scale with coseismic moment as [Formula: see text] and [Formula: see text] , respectively. The ratio of afterslip to coseismic moment (M ( rel )) varies from <1% to >300% (interquartile range: 9%–32%). M ( rel ) weakly correlates with M ( o ) (CC: −0.21, attributed to a publication bias), rupture aspect ratio (CC: −0.31), and fault slip rate (CC: 0.26, treated as a proxy for fault maturity), indicating that these factors affect afterslip. M ( rel ) does not correlate with mainshock dip, rake, or depth. Given the power‐law decay of afterslip, we expected studies that started earlier and spanned longer timescales to capture more afterslip, but M ( rel ) does not correlate with observation start time or duration. Because M ( rel ) estimates for a single earthquake can vary by an order of magnitude, we propose that modeling uncertainty currently presents a challenge for systematic afterslip analysis. Standardizing modeling practices may improve model comparability, and eventually allow for predictive afterslip models that account for mainshock and fault zone factors to be incorporated into aftershock hazard models. John Wiley and Sons Inc. 2022-04-12 2022-04 /pmc/articles/PMC9287082/ /pubmed/35865712 http://dx.doi.org/10.1029/2021JB023897 Text en © 2022. The Authors. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Churchill, R. M. Werner, M. J. Biggs, J. Fagereng, Å. Afterslip Moment Scaling and Variability From a Global Compilation of Estimates |
title | Afterslip Moment Scaling and Variability From a Global Compilation of Estimates |
title_full | Afterslip Moment Scaling and Variability From a Global Compilation of Estimates |
title_fullStr | Afterslip Moment Scaling and Variability From a Global Compilation of Estimates |
title_full_unstemmed | Afterslip Moment Scaling and Variability From a Global Compilation of Estimates |
title_short | Afterslip Moment Scaling and Variability From a Global Compilation of Estimates |
title_sort | afterslip moment scaling and variability from a global compilation of estimates |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9287082/ https://www.ncbi.nlm.nih.gov/pubmed/35865712 http://dx.doi.org/10.1029/2021JB023897 |
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