The Self-organized Criticality of Landslids Triggered by Earthquake
Bibliographic record
Abstract
In the conceptual framework of self-organized criticality(SOC),and by investigating the typical slopes in Ⅸ seismic zone of Wenchuan earthquake,the negative power-law relationship of landslides between volume and number,as well as between depth and number was found.Furthermore,landslides also demonstrated the similar characteristics in Ⅹ seismic zone of Wenchuan earthquake.Based on the principle of quasi-static theory,the sandpile model centrifugation tests repeated the dynamic behavior of slope under seismic disturbances,and the dynamical characteristics of landslips can be showed with negative power distribution law when the model box floor tilted 1.5°,but showed normal distribution when 3.0°,and the cellular automaton models revealed the dynamical mechanism of the evolution of sand-pile model with the changes of disturbance intensity by numerical simulation.It was suggested that the slope system in younger or maturity age has the basic properties of intrinsic SOC.There is a seismic intensity threshold,the distribution law between size and frequency of landslides triggered by earthquake can be described under the threshold,and both the huge-scale and small-scale landslides disasters comply with the same formation mechanism.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| 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".