Swine Manure: A Geochemical Perspective
Bibliographic record
Abstract
Highlights Geochemistry of swine manure has not been previously characterized as a point source for groundwater contamination. Earthen manure storages contain a solution composed of mainly ammonium and bicarbonate. Earthen manure storages have a low redox potential resulting in ammonium as the main form of nitrogen. Abstract. This study characterized the solution chemistry of seven swine manure storages in Saskatchewan, Canada. Manure storages are considered a point source for potential contaminant transport studies and modeling. A variety of earthen manure storages at hog production facilities in Saskatchewan were sampled, including two earthen manure storages servicing farrow to finish operations, two servicing farrows to wean operations, and three servicing finishing operations. In terms of manure seepage, the species of most common concern is nitrogen. Ammonium nitrogen is one of the most abundant ions studied in the earthen manure storage effluent. Potassium and sodium may be cations of concern as they will likely compete with ammonium for soil exchange sites, which will affect ammonium’s attenuation. Bicarbonate and chloride are the most abundant anions (bicarbonate >> chloride). High bicarbonate concentrations will likely affect the precipitation of carbonaceous minerals and may affect solution pH within seepage plumes. Earthen manure storages contain a solution composed of, as a percentage of total molal concentration, 36% ammonium, 36% bicarbonate, 8% potassium, 6% chloride, 5% sodium plus sulfate, calcium, magnesium, and other nutrients. The solution also contains approximately 6,000 mg/L organic carbon and 9,000 mg/L inorganic carbon and has a near neutral pH. As a result, the solution has low redox (Eh), resulting in nitrogen remaining in the ammonium-N form. Keywords: Geochemistry, Nutrient content, Swine manure.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".