Emissions of ammonia and hydrogen sulfide from typical dairy barns in central China and major factors influencing the emissions
Bibliographic record
Abstract
Abstract There are few studies on the concentrations and emission characteristics of ammonia (NH 3 ) and hydrogen sulfide (H 2 S) from Chinese dairy farms. The purpose of this study was to calculate the emission rates of NH 3 and H 2 S during summer and to investigate influencing factors for NH 3 and H 2 S emissions from typical dairy barns in central China. Eleven dairy barns with open walls and double-slope bell tower roofs from three dairy farms were studied. Five different locations in each barn were sampled both near the floor and at 1.5 m above the floor. Concentrations of NH 3 and H 2 S were measured using the Nessler’s reagent spectrophotometry method and the methylene blue spectrophotometric method, respectively. NH 3 concentrations varied between 0.58 and 4.76 mg/m 3 with the average of 1.54 mg/m 3 , while H 2 S concentrations ranged from 0.024 to 0.151 mg/m 3 with the average of 0.092 mg/m 3 . The concentrations of NH 3 and H 2 S were higher during the day than at night, and were higher near the ground than at the height of 1.5 m, and were higher in the manure area than in other areas. NH 3 and H 2 S concentrations in the barns were significantly correlated with nitrogen and sulfur contents in feed and manure ( P < 0.05), and with temperature inside the barns ( P < 0.05). Calculated emission rates of NH 3 ranged from 13.8 to 41.3 g NH 3 /(AU·d), while calculated emission rates of H 2 S ranged from 0.15 to 0.46 g H 2 S/(AU·d). These results will serve as a starting point for a national inventory of NH 3 and H 2 S for the Chinese dairy industry.
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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 | 0.000 | 0.001 |
| 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".