Effect of Earthquake Catalog Declustering on Seismic Hazard Assessment

Galina, Natalia; Быкова, В. В.; Vakarchuk, R. N.; Татевосян, Р. Э.

doi:10.3103/s0747923919010079

Cited by 7 publications

(1 citation statement)

References 15 publications

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“…Physically speaking, classifying earthquakes in these two categories is not firmly accurate. However, isolating the background seismicity from the aftershocks, which we will refer to as catalog declustering, is crucial for a wide range of studies, such as the along‐fault monitoring of transient loading (Marsan, Prono, & Helmstetter, 2013; Marsan, Reverso, et al., 2013; Reverso et al., 2015) or fluid injections (Bachmann et al., 2011; Hainzl & Ogata, 2005; Kothari et al., 2020), and hazard assessments (Azak et al., 2018; Galina et al., 2019; Marzocchi & Taroni, 2014; Taroni & Akinci, 2021).…”

Section: Introductionmentioning

confidence: 99%

An Adaptable Random Forest Model for the Declustering of Earthquake Catalogs

2022

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The simplest classification of earthquakes breaks down the total seismicity rate into two categories: background events generated by long-term, large-scale tectonic forcings, and aftershocks directly triggered by a background event or another aftershock. Physically speaking, classifying earthquakes in these two categories is not firmly accurate. However, isolating the background seismicity from the aftershocks, which we will refer to as catalog declustering, is crucial for a wide range of studies, such as the along-fault monitoring of transient loading

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