Unsupervised machine learning reveals slab hydration variations from deep earthquake distributions beneath the northwest Pacific

نویسندگان

چکیده

Abstract Although transformational faulting in the rim of metastable olivine wedge is hypothesized as a triggering mechanism deep-focus earthquakes, there no direct evidence such rim. Variations b value – slope Gutenberg-Richter distribution have been used to decipher and rupture mechanisms deep earthquakes. However, detection limits prevent full understanding these mechanisms. Using Japan Meteorological Agency catalog, we estimate values earthquakes northwestern Pacific Plate, clustered four regions with unsupervised machine learning. The -value analysis Honshu Izu seismicity reveals kink at magnitude 3.7–3.8, where abruptly changes from 1.4–1.7 0.6–0.7. anomalously high for small highlight enhanced faulting, likely catalyzed by hydrous defects coinciding unstable wedge, thickness which $$\sim$$ ~ 1 km.

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ژورنال

عنوان ژورنال: Communications earth & environment

سال: 2022

ISSN: ['2662-4435']

DOI: https://doi.org/10.1038/s43247-022-00377-x