Oxidation of SO <sub>2</sub> by H <sub>2</sub> O <sub>2</sub> on ice surfaces at 228 K: a sink for SO <sub>2</sub> in ice clouds
Bibliographic record
Abstract
Abstract. The heterogeneous reaction SO2 + H2O2 H2SO4 on ice at 228 K has been studied in a low temperature coated-wall flow tube. With H2O2 in excess of SO2, the loss of SO2 on an ice surface is time dependent with the reaction most efficient on a freshly exposed surface. The deactivation of the surface arises because the protons formed in the reaction inhibit the dissociation of adsorbed SO2. This lowers the surface concentrations of HSO3-, a participant in the rate-determining step of the oxidation mechanism. For a fixed SO2 partial pressure of 1.4 x 10-4 Pa, the reaction probabilities for SO2 loss on a freshly exposed surface scale linearly with H2O2 partial pressures between 2.7 x 10-3 and 2.7 x 10-2 Pa because the H2O2 surface coverage is unsaturated in this regime. Conversely, the reaction probabilities decrease as the partial pressure of SO2 is raised from 2.7 x 10-5 to 1.3 x 10-3 Pa, for a fixed H2O2 partial pressure of 8.7 x 10-3 Pa. This is expected if the rate determining step for the mechanism involves HSO3- rather than SO2. It may also arise to some degree if there is competition between gas phase SO2 and H2O2 for adsorption sites. The reaction is sufficiently fast that the lifetime of SO2 within ice clouds could be controlled by this heterogeneous reaction and not by the gas-phase reaction with OH.
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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) | 0.000 | 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 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".