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Record W4220846757 · doi:10.5194/egusphere-egu22-8968

The role of subducted fluids on the genesis of deep earthquakes: evidence from deep diamonds and subduction zone thermal modeling

2022· preprint· en· W4220846757 on OpenAlexaff
L. S. Wagner, Steven B. Shirey, Michael Walter, D. Graham Pearson, Peter E. van Keken

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
TopicHigh-pressure geophysics and materials
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSubductionGeologyMantle (geology)SlabEclogiteLawsoniteCrustOceanic crustTransition zoneGeochemistrySeismologyGeophysicsTectonics

Abstract

fetched live from OpenAlex

The role of subducted fluids on the generation of deep earthquakes (300 – 700 km) has been a topic of much research and debate for decades. While fluids are commonly believed to play a role in the genesis of intermediate depth earthquakes (70 – 300 km), it is often argued that fluids (i.e., water- or carbonate-bearing) cannot be transported to sufficient depth to play a role in the triggering or propagation of deep earthquakes. However, recent investigations show evidence of up to ~1.5 wt% water in a ringwoodite inclusion in a diamond from the mantle transition zone [1]. Additionally, heavy iron (δ56Fe = 0.79–0.90‰) and unradiogenic osmium (187Os/188Os = 0.111) isotopic compositions of metallic inclusions in sublithospheric diamonds trace the pathway of serpentinized slabs from the trench to the top of the lower mantle [2]. Given this evidence for slab derived fluids at transition zone depths, we investigate the ability of fluids to reach these depths in subducted slabs by compiling a) new subduction zone thermal models, b) slab earthquake locations within these modeled subduction zones, and c) phase relations of hydrated or carbonated mantle peridotite and basaltic crust. Our results show a distinctive pattern that is consistent with the necessity of fluids in the generation of deep seismicity [3]. Specifically, those slabs capable of transporting water to the bottom of the transition zone (via dense hydrous magnesium silicates (DHMS)) produce earthquakes at transition zone depths. Conversely, virtually all slabs that do not transport water to these depths do not generate deep earthquakes. We also note that the depths of deep earthquakes coincide with the P/T conditions at which oceanic crust is predicted to intersect the carbonate-bearing basalt solidus to produce carbonatitic melts. We suggest that hydrous and/or carbonated fluids released from subducted slabs at these depths lead to fluid-triggered seismicity, fluid migration, diamond precipitation, and inclusion crystallization. Deep focus earthquake hypocenters would then track the general region of deep fluid release and migration in the mantle transition zone [3]. [1] Pearson, D. G., Brenker, F. E., Nestola, F., Mcneill, J., Nasdala, L., Hutchison, M. T., et al. (2014). Hydrous mantle transition zone indicated by ringwoodite included within diamond. Nature, 507, 221–224. https://doi.org/10.1038/nature13080 [2] Smith EM, Ni P, Shirey SB, Richardson SH, Wang W, and Shahar, A (2021) Heavy iron in large gem diamonds traces deep subduction of serpentinized ocean floor. Science Advances 7: eabe9773 https://doi.org/10.1126/sciadv.abe9773 [3] Shirey SB, Wagner LS, Walter MJ, Pearson DG, and van Keken PE (2021) Slab Transport of Fluids to Deep Focus Earthquake Depths – Thermal Modeling Constraints and Evidence From Diamonds. AGU Advances: 2, e2020AV000304. https://doi.org/10.1029/2020AV000304

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.206
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
Has abstractyes

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