The Influence of Cover on the Water Quality and Suspended Solids Under the Simulated Rainfall Condition
Bibliographic record
Abstract
Highway embankments could be of equal importance when compared with the agricultural lands for the production of sediments as it carries the detached soil particles in the water which flows over land in the form of surface runoff. The downstream sedimentation from agricultural activities has always been highlighted, whereas the road related impacts are considered trivial. This paper analyzes the results, obtained from a full scale test with rainfall simulation on the fully grass covered surface (Plot-I) and the exposed soil surface (Plot-II) for the inevitable issue of water quality and turbidity affected by the soil erosion. The study was conducted on a filled embankment having slope angle of 30° which observed a marginal difference under the rainfall intensity of 40 mm/hour for both the plots. The results obtained recommend fully grass covered surface to mitigate this problem to an extent. The maximum turbidity and suspended particle values for Plot-I were found to be 75 (NTU) and 11.3 (mg/L) whereas, for Plot-II the values were found to be 1631.5 (NTU) and 52.3 (mg/L) respectively.
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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".