Hydrogen Peroxide Persistence in the Presence of Aquifer Materials
Bibliographic record
Abstract
In situ chemical oxidation using hydrogen peroxide for groundwater remediation has received a great deal of attention over the last 15 years. A comprehensive investigation that focused on the interaction between hydrogen peroxide and eight aquifer materials was performed using both batch and column experiments. The results from the batch experiments indicated that the decomposition of hydrogen peroxide in the presence of various aquifer materials followed a first-order rate law, and was strongly affected by the content of amorphous transition metals. The exposure of the aquifer solids to hydrogen peroxide for 14 days indicated that not all forms of natural organic matter (NOM) contributed to the observed decomposition. Multiple linear regression analysis was used to generate two potentially useful predictive decomposition rate coefficient relationships based on the various aquifers’ material characteristics. Column experiments were conducted with five representative aquifer materials to complement and expand the findings from the batch experiments. As expected the decomposition rate coefficients were higher in the column experiments relative to the batch experiments due to the larger solids mass to solution volume ratio. Attempts to simulate the column observations indicated that dissolution and transport of metals from aquifer solids may play an important role in hydrogen peroxide persistence in some subsurface environments.
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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 | 0.001 | 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) | 0.001 | 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 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".