Reservoir-induced earthquakes at Sainte-Marguerite-3, Quebec, Canada
Bibliographic record
Abstract
Located some 90 km north of the town of Sept-Îles, Quebec, the Sainte-Marguerite-3 (SM-3) hydroelectric project was one of the most ambitious in eastern North America in recent years. The project included the construction of a 171 m high dam that created a 140 km long reservoir, some 120 m deep near the dam toe. Although the reservoir is located in a weakly seismic area of the Canadian Shield, reservoir-induced earthquakes occurred. A first event (mN1.3) was recorded in September 1999, ~17 months after the reservoir started filling. Between October 2000 and March 2001, four additional events were detected by the Canadian National Seismograph Network, the largest being mN1.7. During a field survey that took place between July and October 2001, 276 events of magnitude mN≤ 1.2 were detected within 30 km of a three-component seismograph. Single-station locations, confirmed by agreement between P phase and S phase azimuths, were determined for 182 events. Most earthquakes fall in four areas with estimated focal depths mostly shallower than 2 km. Since the field survey completion, more events have taken place, but the largest one is mN2.2 as of March 2006. This paper presents a detailed analysis of the reservoir-triggered events, together with a summary of seismic hazard evaluation of the dam site, the seismic parameters selected for dynamic analysis, and the selection of the design earthquake.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".