Effect of peat, compost, and charcoal on transport of fipronil in clay loam soil and sandy clay loam soil
Bibliographic record
Abstract
This study used 30 cm long packed by 3 kg soil columns to explore the effects of peat, compost, and charcoal at 5% on the movement of fipronil (99.9 % purity) in clay loam soil and sandy clay loam soil. The soil columns were preconditioned with calcium chloride solution (0.01 M) before applying the pesticide and potassium iodide. Potassium iodide solution (0.2 M) was added at a rate of 10 mL as a water tracer and a quantity of fipronil solution (10 µg g-1soil) was applied on the soil surface of each column. Next, fipronil was leached from the soil columns with a calcium chloride solution (0.1 M) and the leachates were collected and analyzed. The results show that water tracer I- leached fast in soil columns. The breakthrough curve of fipronil appeared from leachates of soil columns after iodide for a while, indicating that fipronil is a moderate or lower mobile compound depending on type of soil and type of soil amendments. In general, adding soil amendments (peat, compost, and charcoal) to clay loam soil and sandy clay loam soil resulted in improved fipronil adsorption and decreased the amount of fipronil that leached into groundwater. This study is very useful for preserving groundwater from pollution, especially in the Middle East due to the lack of water sources.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".