Treatment of Shale Gas Flowback Wastewater by Electroflocculation Combined with Peroxymonosulfate
Bibliographic record
Abstract
In this study, potassium peroxymonosulfate was added to an electrolytic cell with an iron anode to achieve the dual flocculation and sulfate-radical-driven oxidative degradation of organic matter in shale gas flowback wastewater. The effects of current density, solution pH, and potassium peroxymonosulfate concentration on organic matter degradation were investigated. The results showed that chemical oxygen demand (COD) removal reached 93.4% at a current density of 40 mA/cm2, pH 7, and a potassium peroxymonosulfate concentration of 1500 mg/L, surpassing the efficiency of single electroflocculation (82.4%). The characterization of the coupled electroflocculation and peroxymonosulfate system confirmed the production of sulfate radicals and identified Fe2O3 as the primary final product in the treated wastewater. The introduction of sulfate significantly enhanced organic matter degradation, accelerated the reaction rate and improved the overall efficiency of the treatment process. This study offers valuable insights into the chemical synergistic treatment approach and its potential applications in organic wastewater treatment.
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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 | 0.000 |
| 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) | 0.000 | 0.001 |
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".