Reflection and Love-wave imaging of a buried valley using 2D 3C land-streamer seismic data
Bibliographic record
Abstract
ABSTRACT We conduct reflection and Love-wave imaging on three 2D, 3C land-streamer seismic lines to characterize a buried bedrock valley underlying glacial deposits situated within southern Ontario, Canada. Understanding the valley’s features is important for designing above-ground structures, investigating groundwater and surface water interactions, and understanding erosion processes driven by glacial cycles. These characteristics include width, extension, overburden thickness, spatial facies distribution, and geometric configuration of the overburden-bedrock contact. Reflection imaging on the west-southwest–east-northeast trending profiles reveals the bedrock geometry and quaternary sediment stratigraphy, including a shallow reflection associated with a lithostratigraphic transition zone. We use the dispersive properties of Love waves to derive pseudo-2D S-wave velocity profiles along the seismic transects. The inversion process is constrained by the P-wave refraction velocities from reflection processing. We emphasize the significance of data preconditioning prior to surface-wave analysis and develop an optimal processing sequence for moderately to highly noisy gathers. Likewise, we construct bedrock-reaching velocity profiles for depth conversion of reflectivity sections by using S-wave velocity from Love-wave inversion, regression analysis, and water well data. Our signal preconditioning and integrated velocity modeling approach can be implemented in other areas where land-streamer seismic surveys are available, enhancing quantitative imaging and depth conversions. Blind borehole records demonstrate average depth-conversion errors of less than 2% following this approach. The Love-wave velocity imaging and the body-wave reflection imaging correlate well with each other and with lithologic changes observed in water wells. This is demonstrated by the alignment of velocity contrasts with the geometry of the shallow reflection event at the lithostratigraphic transition zone. We find that the bedrock valley is approximately 60 m deep with a southward thinning width, possibly due to the valley’s geometry shifting from a north–south to an east–west orientation.
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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".