Region- and Site-Specific Measurements of Kappa (κ0) and Associated Variabilities for Iran
Bibliographic record
Abstract
ABSTRACT Spectral parameter kappa (κ) is widely used to model the decay slope of the Fourier acceleration spectrum at high frequencies. This study presents estimates of κ0, often referred to as the site-related contribution in κ, for the Iranian strong-motion dataset. For our analysis, we use 2798 acceleration time histories from 325 earthquakes (between 1976 and 2020, inclusive) in the magnitude range M 3–7.4 and recorded over 285 stations at distances up to 100 km. The main objective of this study is to estimate κ0 and associated uncertainties at Iranian strong-motion stations. We investigate different sources of uncertainty that contribute to the higher scatter in the station-specific measurements of κ0. According to our results, the choice of frequency range used to approximate linear decay of acceleration spectrum contributes significantly to measurement-related uncertainty. Moreover, our measurements exhibit regional variations in (average) κ0 within Iran; in particular, for Zagros, the average κ0(=0.036) is found to be lower than that for northern Iran (κ0=0.044) and central-eastern Iran (κ0=0.04). In terms of between-station variability, there is a weak negative correlation between κ0 and VS30. The within-station uncertainty (i.e., standard deviation of κ0 values at individual stations) is also found to be decreasing with increasing VS30. The fundamental frequency of the site (f0) also appears to affect both measurement-related uncertainty and between-station variability at stations that exhibit significant 1D soil response behavior.
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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".