Formation of Disinfection by Products From the Chlorination of Chironomid Larvae Metabolite Dissolution
Why this work is in the frame
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Bibliographic record
Abstract
Chironomid larvae occure in urban water supply systems,and their metabolite dissolutions containing biomass of amino acids,protein,fat and other organic matter have a higher potential to form the DBPs. In order to provide a theoretical basis for their impact on water quality and safety,we changed the different conditions like chlorine dosage,reaction time,pH and temperature to research the formation of disinfection by-products from the chlorination of chironomid larvae metabolite dissolution. The results showed that they reacted with chlorine to form chloral hydrate( CH),1,1,1-trichloroethane( 1,1,1-TCA) 1,1-dichloro-2-propanone( 1,1-DCP) and 1,1,1-trichloro-2-propanone( 1,1,1-TCP) during disinfection. Higher chlorine dosage resulted in an increase of CH,1,1,1-TCA and 1,1,1-TCP,but 1,1-DCP concentration was increased at first and then decreased. Longer reaction time could accumulated CH,1,1,1-TCA and 1,1-DCP,but too long time could made 1,1,1-TCP decompose. Increasing pH was benefit to form chloral hydrate,1,1-DCP and 1,1,1-TCP,the maximum concentration of 1,1,1-TCA occurred at pH 7. And the four disinfection by-products concentrations were all increasing with temperature increasing.
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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 | 0.001 |
| 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 it