Sludge Characterization of an Industrial Wastewater Treatment Plant, Iran
Bibliographic record
Abstract
Background and purpose: Disposing sludge from industrial wastewater treatment plants (IWWTPs) is a serious issue because it can affect human and animals health, and also environmental quality. In this study, sludge from an IWWTP was analyzed regarding its physicochemical characteristics and disposal options. Materials and Methods: Grab sampling was used to collect 12 sludge samples biweekly (May-October 2012). One sample T-test was applied to analyze the obtained data. Canadian Soil Quality Guidelines (CSQG) and New Jersey Department of Environmental Protection Soil Cleanup Criteria (NJDEPSCC) were used to discuss the generated sludge disposal fate. Results: The results show that the order of the studied metals in the sludge was as: Fe>Al>Zn>Cr>Pb>Ni>Cd>Co>Cu>Mn>As>Hg. It was found that the generated sludge compared with CSQG is not suitable for residential/parkland, agricultural, commercial and industrial applications. But compared with NJDEPSCC, the studied sludge was suitable for residential and non-residential applications. Conclusion: According to NJDEPSCC, the studied sludge has the potential to be used for residential and non-residential purposes.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 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".