nerc.ac.uk

Diagenetic priming of submarine landslides in ooze-rich substrates

Wu, Nan; Jackson, Christopher; Clare, Michael ORCID: https://orcid.org/0000-0003-1448-3878; Hodgson, David; Nugraha, Harya; Steventon, Michael; Zhong, Fa. 2022 Diagenetic priming of submarine landslides in ooze-rich substrates. Diagenetic priming of submarine landslides in ooze-rich substrates. https://doi.org/10.31223/X50P9Q

Before downloading, please read NORA policies.
[img]
Preview
Text
diagenetic-priming-of-submarine-landslides-in-ooze-rich-substrates.pdf - Submitted Version
Available under License Creative Commons Attribution 4.0.

Download (25MB) | Preview
[img]
Preview
Text
g50458.1.pdf - Published Version
Available under License Creative Commons Attribution 4.0.

Download (2MB) | Preview

Abstract/Summary

Oozes are the most widespread deep-sea sediment in the global ocean, but very little is known about how changes in their physical properties during burial impact slope stability and related geohazards. Here, we use 3D seismic reflection, geochemical, and petrophysical data acquired both within and adjacent to 13 large (in total c. 6330 km2) submarine slides on the Exmouth Plateau, NW Shelf, Australia, to investigate how the pre-slide physical properties of oozes control slope failure and emplacement processes. Our integrated dataset allows potential slide surfaces to be detected within ooze successions; a crucial advance for improved submarine geohazard assessment. Moreover, we demonstrate that the interplay of tectonics, ocean current activity, and silica diagenesis can prime multiple slides on very low gradient slopes in tropical, oceanic basins. Therefore, the diagenetic state of silica-rich sediments must be considered to improve slope stability assessments.

Item Type: Publication - Article
Digital Object Identifier (DOI): https://doi.org/10.31223/X50P9Q
Date made live: 27 Sep 2022 13:12 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/533277

Actions (login required)

View Item View Item

Document Downloads

Downloads for past 30 days

Downloads per month over past year

More statistics for this item...