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Record W4408430709 · doi:10.5194/egusphere-egu25-13813

Unveiling the Surface Rupture of the 1946 Chatkal Earthquake (Mw 7.5, Tien Shan): Insights from Pleiades, UAV Imagery, and Trenching

2025· preprint· en· W4408430709 on OpenAlexaff
Magali Rizza, Léa Pousse‐Beltran, Fleury Jules

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldComputer Science
TopicSeismology and Earthquake Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsPleiadesGeologySeismologyRemote sensingGeodesyComputer scienceComputer vision

Abstract

fetched live from OpenAlex

In the central Tien Shan, the Karatau-Talas-Fergana Fault (TFF) is the largest intracontinental strike-slip fault, recognized as active during the late Holocene and accommodates a portion of the deformation resulting from the ongoing Indo-Asian collision. However, the kinematics and role of the TFF remain poorly understood, with no large earthquakes documented in instrumental or historical catalogs. Notably, in the region, the strongest shaking in the 20th century occurred during the November 2, 1946, Chatkal earthquake, but with a potential epicenter located approximately 20 km from the TFF trace. Despite this, there are no clear reports of surface faulting, and no fresh tectonic scarps associated with the 1946 earthquake have been identified along the TFF fault. As a result, the location, focal mechanism, and potential surface rupturing of the 1946 Chatkal earthquake remain debated.In this study, in the Chatkal Range, we utilize high-resolution satellite imagery (Pleiades and Worldview) to conduct a comprehensive analysis of fault segmentation. Our detailed mapping reveals multiple offsets in streams, rivers, moraines, and abandoned alluvial surfaces along the TFF. Additionally, UAV-based digital elevation models (DEMs) and orthophotos provide unprecedented detail of the fault's morphology, allowing us to measure an offset of approximately 4.6 meters for the more recent surface rupture.We also conducted new Quaternary dating of displaced geomorphic markers and excavated a paleoseismic trench, where we discovered a fresh surface rupture. In the trench, two separate surface ruptures were observed, offsetting sedimentary units from a sag pond. We propose that the most recent earthquake event correlates with the 1946 Chatkal earthquake. Based on the trench data, we estimate return times of approximately 3,000–4,500 years and calculate slip rates from the cumulative offsets. By integrating these data, we provide insights into the seismic cycle of the Chatkal segment and propose the 1946 earthquake for the most recent faulting event in the region.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.606
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.005
Research integrity0.0000.001
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 head0.014
GPT teacher head0.229
Teacher spread0.215 · 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 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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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