RADARSAT-2 DInSAR and GNSS-Derived Finite Fault Model of the 2012 Mw 7.8 Haida Gwaii Earthquake
Bibliographic record
Abstract
The Mw 7.8 Haida Gwaii earthquake occurred on 28 October 2012, generating up to 13 m tsunami waves and 3 m run-up along the British Columbia coastline. Despite the magnitude of the earthquake and tsunami, damages were minor due to the lack of vulnerable infrastructure in the remote area. Previous finite fault models were derived from GNSS, seismic and tsunami data, but the uncertainty remained high due to the limited number of seismic and GNSS stations near the epicenter. In this study, finite fault models were developed using RADARSAT-2 interferograms and previously published GNSS data. These models defined the location of the fault and provided a detailed slip distribution with a high degree of certainty. The results confirmed that the main slip was located on the subduction fault interface between the Pacific and North American plates, west of the Queen Charlotte Fault. The estimated moment magnitude of 7.88–7.93 is slightly larger than the previously reported moment magnitude of around 7.8, due to the capture of postseismic deformation in the interferograms. Overall, the study provides an improved finite fault slip model for the Haida Gwaii earthquake and highlights the importance of utilizing remote sensing data for studying earthquakes in remote areas.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".