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How good is a paleoseismic record of megathrust earthquakes for probabilistic forecasting?

Francisco Acuna, Gonzalo A. Montalva and Daniel Melnick
How good is a paleoseismic record of megathrust earthquakes for probabilistic forecasting?
Seismological Research Letters (November 2021) 93 (2A): 739-748

Abstract

Time-dependent earthquake forecast depends on the frequency and number of past events and time since the last event. Unfortunately, only a few past events are historically documented along subduction zones where forecasting relies mostly on paleoseismic catalogs. We address the role of dating uncertainty and completeness of paleoseismic catalogs on probabilistic estimates of forthcoming earthquakes using a 3.6-ka-long catalog including 11 paleoseismic and 1 historic (Mw> or =8.6) earthquakes that preceded the great 1960 Chile earthquake. We set the clock to 1940 and estimate the conditional probability of a future event using five different recurrence models. We find that the Weibull model predicts the highest forecasting probabilities of 44% and 72% in the next 50 and 100 yr, respectively. Uncertainties in earthquake chronologies due to missing events and dating uncertainties may produce changes in forecast probabilities of up to 50%. Our study provides a framework to use paleoseismic records in seismic hazard assessments including epistemic uncertainties.


ISSN: 0895-0695
EISSN: 1938-2057
Serial Title: Seismological Research Letters
Serial Volume: 93
Serial Issue: 2A
Title: How good is a paleoseismic record of megathrust earthquakes for probabilistic forecasting?
Affiliation: Universidad de Concepcion, Departamento de Ingenieria Civil, Concepcion, Chile
Pages: 739-748
Published: 20211110
Text Language: English
Publisher: Seismological Society of America, El Cerrito, CA, United States
References: 35
Accession Number: 2021-075957
Categories: Seismology
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus.
Secondary Affiliation: Universidad Austral de Chile, CHL, Chile
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2022, American Geosciences Institute. Abstract, Copyright, Seismological Society of America. Reference includes data from GeoScienceWorld, Alexandria, VA, United States
Update Code: 202153

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