Geotechnical Response of Compost Biocover Columns under Freeze-Thaw Conditions
Bibliographic record
Abstract
Biocovers are a promising technology for mitigating methane (CH4) emission from landfills. The geotechnical performance of the biocover material is one of the design criteria of biocovers. However, current understanding of the geotechnical behavior of biocovers under freeze-thaw conditions is limited. In the present paper, the effects of freeze-thaw cycles (FTCs) on the geotechnical (thermal, hydraulic, and mechanical) properties of compost-based biocovers are investigated by column experiments. In the experiments, three columns are developed, prepared, and treated by a period of methane injection (0 FTCs) after 1 FTC and 2 FTCs in three respective stages. In addition, extensive laboratory testing is carried out on the biocover samples with regard to their thermal (thermal conductivity); hydraulic (hydraulic conductivity); and mechanical (compressibility and shear strength) and physical properties (e.g., grain size distribution, moisture content). The results show that the FTCs induced changes in a number of the geotechnical properties of the biocover. However, these changes are mostly located in the top layer of the biocover (0–15 cm). It was found that FTCs significantly increased the hydraulic conductivity of the top layer of the biocover, whereas they slightly decreased the thermal conductivity of this layer. As for mechanical and physical factors, the average grain size of the compost surface slightly decreased throughout the stages, while the friction angles of the bottom and middle layers of the compost-based biocover were not significantly affected. The results presented in this paper will contribute to better design of landfill biocovers in cold regions.
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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 | 0.000 | 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) | 0.001 | 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".