Study on properties of soil loss from sloping farmland of black soil based on a runoff event
Bibliographic record
Abstract
A typical undulating farmland in black soil region of Northeast China was taken as a case study to analyze the properties of soil loss caused by erosional precipitation events based on measurement of sediment and its nutrients and particle size in different geomorphic positions and the outlet of the watershed.The results showed that soil loss only happened in high rainfall intensities.This study takes the runoff event on August 1st,2006 for example.The sediment concentration in runoff is in range of 1.0～2.5 g/L.Nutrient enrichment occurred in sediment and the enrichment ratio of carbon and nitrogen is 2.10 and 3.31,respectively.The soluble carbon and nitrogen in runoff is 2.47～3.93 mg/L and 1.61～3.28 mg/L.The loss of soluble nutrients is also an important way of nutrient loss under water erosion.The aggregate size distribution of the eroded sediment was drastically different from that of the original soil.Aggregates smaller than 0.053 mm,especially the size between 0.002 mm and 0.02 mm,is the main form of the sediment.
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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 | 0.000 | 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 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".