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Data-Driven Two-Fault Modeling of the Mw 6.0 2008 Wells, Nevada Earthquake Suggests a Listric Fault Rupture

Frietsch, Michael 1; Ferreira, Ana M. G.; Funning, Gareth J.
1 Geophysikalisches Institut (GPI), Karlsruher Institut für Technologie (KIT)

Structural fault complexity at depth affects seismic hazard, earthquake physics, and regional tectonic behavior, but constraining such complexity is challenging. We present earthquake source models of the February 21, 2008, Mw 6.0 Wells event that occurred in the Basin and Range in the western USA, suggesting the rupture of both the shallow and deep parts of a listric fault. We use a large data set including 150 local seismic waveforms from the USArray combined with high-quality Interferometric Synthetic Aperture Radar and teleseismic waveforms. Rather than imposing an a priori fault geometry in the source inversions, as is often done in the literature, we use a data-driven approach whereby all the faulting parameters and number of faults are determined by the data alone. We find a two-fault normal faulting solution comprising: (i) a shallow (centroid depth ∼4.6 km) sub-event with Mw 5.3 and fault dip of ∼77°; and (ii) a deeper (centroid depth ∼8.8 km), larger Mw 6.0 sub-event on a fault with shallower dip angle (∼41°). Our preferred two-fault model is consistent with aftershocks and with the tectonics of the region. The local USArray waveforms used in the modeling are key to detect the rupture of both shallow and deep parts of the possible listric fault. ... mehr

Verlagsausgabe §
DOI: 10.5445/IR/1000133577
Veröffentlicht am 01.07.2022
DOI: 10.1029/2020JB020263
Zitationen: 1
Web of Science
Zitationen: 1
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2169-9313, 0148-0227, 2156-2202, 2169-9356
KITopen-ID: 1000133577
Erschienen in Journal of Geophysical Research: Solid Earth
Verlag John Wiley and Sons
Band 126
Heft 4
Seiten e2020JB020263
Nachgewiesen in Dimensions
Web of Science
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