Evaluation of SWAP-MANIMEA model for predicting NO_3~--N leaching from hog waste manured plots
Bibliographic record
Abstract
The modified Manurial Nitrogen Management:Environmental Aspects(MANIMEA) model was coupled with Soil-Water-Atmosphere-Plant(SWAP) model to simulate and evaluate the NO~-_3-N transport to subsurface drainage from hog waste manured plots.SWAP was used to simulate the vertical transport of water flow and heat,the outputs of the model were used as inputs of MANIMEA.The field data obtained in Truro,Nova Scotia,Canada,on 4 test plots were used to test the models.It was found that the predicted daily drainage flow was in good agreement with observed data and the daily NO~-_3-N losses was closely related to subsurface drainage.Total simulated NO~-_3-N losses for four plots were within-0.5% and 8.9% of observed values with correlation coefficient 0.64～0.74.The results showed that the model has the potential of predicting nitrate leaching.It can be forecasted that modified MANIMEA model would be an effective tool for predicting fate and transport of nitrogen from manured land.
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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 | 0.001 | 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 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".