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Record W4392595961 · doi:10.5194/egusphere-egu24-1114

Spatial and Temporal Variability of Slip Rates on the Tuz Gölü Fault Zone: Insights from Zircon Double Dating of Offset Lavas of Mount Hasan, Central Anatolia 

2024· preprint· en· W4392595961 on OpenAlexaff
Gülin Gençoğlu Korkmaz, Axel K. Schmitt, Janet C. Harvey, Martin Danišík, Lindsay M. Schoenbohm

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEarth and Planetary Sciences
Topicearthquake and tectonic studies
Canadian institutionsMuscular Dystrophy Canada
Fundersnot available
KeywordsZirconGeologyOffset (computer science)MountFault (geology)SeismologyGeodesyGeochemistry

Abstract

fetched live from OpenAlex

Accurate knowledge of fault displacement rates is essential for seismic hazard assessments, with long-term slip rates being critical as constraints for the tectonic drivers of seismicity. The Tuz Gölü Fault Zone (TGFZ) is a NW-SE trending ~200 km long structure within the central Anatolian continental plateau. It consists of eleven parallel or sub-parallel fault segments, each ranging in length from 9 to 30 km, but seismic activity is scarce, making it difficult to pinpoint deformation mechanisms and magnitudes. Previous studies suggested that the TGFZ can produce earthquakes between M = 6.1 and 6.8, with generally higher displacement rates in the southern part of the TGFZ compared to the northern segments. Here, we studied the Akhisar-Kilic segment, which is located in the southern part of TGFZ. It dissects the southeastern flank of Mount Hasan, a prominent active stratovolcano, where several upper Pleistocene lava flows exhibit morphological evidence for faulting and hydrothermal activity. We conducted zircon double-dating, which merges U-Th and U-Pb geochronology and (U-Th)/He thermochronology, to date these variably offset lavas in order to establish fault geometries and offset rates.Zircon crystallization ages of four lava flows, sampled in duplicate or triplicate on both sides of the TGFZ, permit correlation between proximal parts of the flows, and the more distal lobes across the TGFZ. The youngest zircon crystallization age population in each of the two northernmost flows overlaps within error, and they are closer to equilibrium than for the middle and southern flows. (U-Th)/He dates record eruptive cooling and indicate a systematic increase from north to south, with eruption ages between 39.0 ± 1.0 and 151 ± 3 ka.Detailed morphological study of faulted lava flows utilizing a 5-meter digital elevation model (DEM) demonstrates that reasonable lava flow geometry can be restored within a range of oblique slip scenarios, ranging from primarily dip slip offset, to moderate right lateral oblique offsets. Combining the age dating and the geomorphic analysis yields vertical slip rates that can range up to between 0.5 and 0.6 mm/yr over the duration of lava emplacement in the southeastern sector of Mount Hasan. Because these rates are faster than previous estimates, we also expect that some TGFZ segments have the potential to produce earthquakes with considerably higher magnitudes than previously claimed. New slip rates covering a significant portion of the Late Pleistocene extend the fault history beyond the timescales of geodetic monitoring and historical records, thereby offering a significant vantage point for the derivation of seismic hazard estimates based on fault analysis. This is crucial to advance assessment of the multiple volcano-tectonic hazards that result from the coexistence of an active volcano and an active fault zone.Keywords: multiple volcano-tectonic hazards, offset lavas, slip rates, zircon double dating

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.266
Teacher spread0.221 · 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 designObservational
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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Citations1
Published2024
Admission routes1
Has abstractyes

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