Analysis of Soil Periods through Strong Motion Records by the Horizontal-To-Vertical Spectral Ratio Method in the District Of Chorrillos, Lima, Peru
Bibliographic record
Abstract
This article presents the results of the analysis of predominant soil periods using the spectral ratio (HVSR) methodology, based on strong motion records at seismic stations in the Chorrillos district, Lima, Peru, a high seismicity area at the western edge of South America.The district contains fine soil deposits, different to the coarse alluvial conglomerate of Lima downtown.The seismic stations are located on sandy soils interspersed with clay strata, moderately compact to dense aeolian sands of variable thickness, and silty-clay soils followed by peat with intercalations of silty sand, according to the existing seismic microzonation.The results indicate that the HVSR method can be very useful to determine the predominant soil periods, which represent the soil profile on which the strong motion record has been recorded.These soil periods, which are in the range of 0.21 s to 0.49 s, are compared with those determined from previous microtremor measurements and inferred from geophysical tests of shear wave velocity, obtaining a good correlation.Also, site classification of the soil profile at these stations is verified according to the Peruvian Seismic Code.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".