Treatment and transport modeling of landfill leachate contaminants in an engineered wetland system.
Bibliographic record
Abstract
Although an essential micronutrient, boron becomes toxic at concentrations slightly above the optimum range. The use of an engineered wetland system consisting of a peat filter and a surface water wetland for treatment of landfill leachate was investigated. Laboratory tests showed that boron is mainly present in inorganic form. Adsorption of boron by peat was a fast process and virtually complete within 2.5 hours. Drying of peat (at 105°C, 90°C, 75°C, and air drying), pH, temperature, and solution composition had a significant effect on boron adsorption while shaking and solution-to-soil ratio did not have any significant effect on boron adsorption by peat. Also, the presence of other anions such as SO4 -, Cl- or combination of both in synthetic solution made from boric acid had no significant effect on boron adsorption by peat. Maximum adsorption of boron on peat occurred at a pH around 9. Addition of lime, optimum ratio being 1 g lime to a 100 g peat, enhanced boron adsorption capacity of peat by 50--100%. Adsorption of boron decreased with temperature increase. Boron desorption showed hysteresis as only 24% to 45% of adsorbed boron was released into the solution when subjected to desorption test. A second-order design model for adsorption of boron by peat was developed, which incorporates the effect of pH and temperature. Adsorption capacity of peat was directly related to organic matter content and showed a positive effect, i.e. boron adsorption increased with organic matter content increase. Amberlite resin was far superior to peat and other organic material in adsorbing and removing of boron from leachate. Peat also proved to be effective in removing metals such as iron, lead, and zinc from landfill leachate. A new transport code (in Fortran), SOLTRAN, was developed which has the capability of handling non-linear adsorption isotherms. An engineered wetland system consisting of a peat filter followed by a free water surface wetland at Huneault Waste Management landfill, Ontario, was used as a case study. It was demonstrated that peat filter can effectively treat landfill leachate. (Abstract shortened by UMI.)
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".