Fault Source Models Show Slip Rates Measured across the Width of the Entire Fault Zone Best Represent the Observed Seismicity of the Pallatanga–Puna Fault, Ecuador

Author:

Harrichhausen Nicolas1ORCID,Audin Laurence1ORCID,Baize Stéphane2ORCID,Johnson Kendra L.3ORCID,Beauval Céline1ORCID,Jarrin Paul4ORCID,Marconato Léo1ORCID,Rolandone Frédérique5ORCID,Jomard Hervé2ORCID,Nocquet Jean-Mathieu46ORCID,Alvarado Alexandra7ORCID,Mothes Patricia A.7ORCID

Affiliation:

1. 1Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, Grenoble, France

2. 2BERSSIN, Institut de Radioprotection et de Sûreté Nucléaire, Fontenay-aux-Roses, France

3. 3Global Earthquake Model, Pavia, Italy

4. 4Université Côte d’Azur, IRD, CNRS, Observatoire de la Côte d’Azur, Geoazur, Valbonne, France

5. 5Sorbonne Université, Institut des Sciences de la Terre Paris, ISTeP, UMR 7193, Paris, France

6. 6Université Paris Cité, Institut de Physique du Globe de Paris, Paris, France

7. 7Instituto Geofisico, Escuela Politécnica Nacional, Quito, Ecuador

Abstract

Abstract We explore how variation of slip rates in fault source models affect computed earthquake rates of the Pallatanga–Puna fault system in Ecuador. Determining which slip rates best represent fault-zone seismicity is vital for use in probabilistic seismic hazard assessment (PSHA). However, given the variable spatial and temporal scales slip rates are measured over, significantly different rates can be observed along the same fault. The Pallatanga–Puna fault in southern Ecuador exemplifies a fault where different slip rates have been measured using methods spanning different spatial and temporal scales, and in which historical data and paleoseismic studies provide a record of large earthquakes over a relatively long time span. We use fault source models to calculate earthquake rates using different slip rates and geometries for the Pallatanga–Puna fault, and compare the computed magnitude–frequency distributions (MFDs) to earthquake catalog MFDs from the fault zone. We show that slip rates measured across the entire width of the fault zone, either based on geodesy or long-term geomorphic offsets, produce computed MFDs that compare more favorably with the catalog data. Moreover, we show that the computed MFDs fit the earthquake catalog data best when they follow a hybrid-characteristic MFD shape. These results support hypotheses that slip rates derived from a single fault strand of a fault system do not represent seismicity produced by the entire fault zone.

Publisher

Seismological Society of America (SSA)

Subject

Geophysics

Reference73 articles.

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2. Partitioning of oblique convergence in the northern Andes subduction zone: Migration history and the present-day boundary of the North Andean Sliver in Ecuador;Alvarado;Tectonics,2016

3. Alvarado A. A. C. 2012. Néotectonique et cinématique de la déformation continentale en Equateur, Ph.D. Thesis, Université de Grenoble (in French).

4. Diffuse deformation and surface faulting distribution from submetric image correlation along the 2019 Ridgecrest, California, ruptures;Antoine;Bull. Seismol. Soc. Am.,2021

5. Active tectonics and earthquake geology along the Pallatanga fault, central Andes of Ecuador;Baize;Front. Earth Sci.,2020

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