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Record W3097761989

Numerical model of the glacially-induced intraplate earthquakes and faults formation

2016· article· en· W3097761989 on OpenAlexaboutno aff
Alexey G. Petrunin, Harro Schmeling

Bibliographic record

VenuePublication Database GFZ (GFZ German Research Centre for Geosciences) · 2016
Typearticle
Languageen
FieldEngineering
TopicGeotechnical and Geomechanical Engineering
Canadian institutionsnot available
Fundersnot available
KeywordsIntraplate earthquakeGeologySeismologyGeophysicsGeodesyTectonics
DOInot available

Abstract

fetched live from OpenAlex

According to the plate tectonics, main earthquakes are caused by moving lithospheric plates and are located\nmainly at plate boundaries. However, some of significant seismic events may be located far away from these active\nareas. The nature of the intraplate earthquakes remains unclear. It is assumed, that the triggering of seismicity in\nthe eastern Canada and northern Europe might be a result of the glacier retreat during a glacial-interglacial cycle\n(GIC). Previous numerical models show that the impact of the glacial loading and following isostatic adjustment\nis able to trigger seismicity in pre-existing faults, especially during deglaciation stage. However this models\ndo not explain strong glaciation-induced historical earthquakes (M5-M7). Moreover, numerous studies report\nconnection of the location and age of major faults in the regions undergone by glaciation during last glacial maximum\nwith the glacier dynamics. This probably imply that the GIC might be a reason for the fault system formation.\nOur numerical model provides analysis of the strain-stress evolution during the GIC using the finite volume\napproach realised in the numerical code Lapex 2.5D which is able to operate with large strains and\nvisco-elasto-plastic rheology. To simulate self-organizing faults, the damage rheology model is implemented\nwithin the code that makes possible not only visualize faulting but also estimate energy release during the seismic\ncycle. The modeling domain includes two-layered crust, lithospheric mantle and the asthenosphere that makes\npossible simulating elasto-plastic response of the lithosphere to the glaciation-induced loading (unloading) and\nviscous isostatic adjustment.\nWe have considered three scenarios for the model: horizontal extension, compression and fixed boundary\nconditions. Modeling results generally confirm suppressing seismic activity during glaciation phases whereas\nretreat of a glacier triggers earthquakes for several thousand years. Tip of the glacier localizes strain and may\nprovoke a fault formation under certain state (extension or compression). The most preferable condition for the\ndeep fault formation is an oscillation of the glacier’s edge at a narrow zone during relatively long time, which\ndepends on the rate of horizontal extension (compression) of the lithosphere. The most powerful and deep (up to\n30 km) earthquakes are possible under horizontal compression whereas models with the fixed boundary condition\nproduce only weak and shallow seismic events.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.916
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.039
GPT teacher head0.293
Teacher spread0.255 · 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 teacher head, 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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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