Experimental investigation and modelling of rainfall-induced erosion of semi-arid region soil under various vegetative land covers
Bibliographic record
Abstract
Abstract Laboratory-scale experiments were conducted to investigate the impact of three different vegetative covers (khus, dry leaves, and wheat straw) on soil erosion and runoff under four different surface slopes and two different types of soils. Results were compared with experiments for bare soil under similar conditions for three major parameters: surface runoff, sub-surface flow, and soil loss. It was found that wheat straw reduced the surface runoff from 60 ml/s (for bare soil) to 20 ml/s, while with leaves and khus, it was 40 ml/s. Wheat straw cover increased the infiltration by 60% and reduced soil loss by 85% compared to bare soil. The findings were validated with the HYDRUS-1D simulations for infiltration and surface runoff in bare soil under similar experimental conditions. Experimental findings were found to agree well with the model simulations. The present study can be treated as a nature-based solution to soil erosion, groundwater recharge, and delayed surface runoff in semi-arid regions.
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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".