Spatial Variability of Infiltration Parameters and Its Influences on Border Irrigation Performance
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Bibliographic record
Abstract
Spatial variability of infiltration parameters K and α of Kostiakov model and influences on irrigation performance were studied for border irrigation.The border irrigation experiment was conducted at the cotton field of Wuqiao in Hebei before seeding in 2008,and the data observed by optimal model searching technique were used to describe the spatial variability of infiltration parameters.The software SRFR was used to simulate the influences of spatial variability on irrigation performance.The results show that the relationships between the irrigation distribution uniformity and irrigation efficiency and infiltration parameters(infiltration coefficient K and infiltration exponential α) are both conics with single peak,on condition of the other factors keeping the same.The steady area of K is smaller,and the α's is bigger.The irrigation performance fluctuates smoothly when the parameters fluctuated between lower area.And the irrigation performance fluctuates acutely when the parameters fluctuated on higher level.So the spatial variability of infiltration parameters can not be ignored when making border irrigation scheme.
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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) | 0.001 | 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 it