UV/H<sub>2</sub>O<sub>2</sub> Treatment of Methyl <i>tert</i>-Butyl Ether in Contaminated Waters
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Methyl tert -butyl ether (MTBE) is a pollutant often found in groundwaters contaminated by gasoline spills or from leaking underground storage tanks. The common techniques often used for the remediation of contaminated water are not very effective for MTBE. This study examines the UV/H 2 O 2 advanced oxidation technology to determine its effectiveness in the treatment of MTBE. The degradation of MTBE was found to follow pseudo- first-order kinetics, and hence the figure-of-merit electrical energy per order ( E EO ) is appropriate for estimating the electrical energy efficiency. The E EO values were found to depend on the concentrations of MTBE, H 2 O 2, and other components, such as benzene, toluene, and xylenes (BTX). This study shows that MTBE can be treated easily and effectively with the UV/H 2 O 2 process with E EO values between 0.2 and 7.5 kWh/m 3 /order, depending on the initial concentrations of MTBE and H 2 O 2 . The treatment efficiency of 10 mg L - 1 MTBE is not adversely affected by the presence of low concentrations of BTX (<2 mg L - 1 ). However, the degradation efficiency is significantly decreased at BTX levels greater than 2 mg L - 1 . A kinetic model, based on the initial rates of degradation, provides good predictions of the E EO values for a variety of conditions.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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