Performance assessment of personal care products industrial effluent treatment plant and its impacts on the environment
Bibliographic record
Abstract
• The WWTP was very poorly managed, which could reduce only 15.5% of COD and 24.4% of BOD 5 . • The discharged effluent contained several EDCs along with heavy metals. • Demonstrated the effects of ionic product and solubility product constant, pH, and complexation on the performance of WWTP. • Conceptualized a new phosphate recovery process from sludge. Personal care products (PCPs) are emerging pollutants (EPs) that are capable of inducing adverse physiological effects on human health. PCPs industries generate a large volume of EPs that pose a significant threat to the aquatic environment. This study assessed PCPs industrial wastewater for physicochemical parameters, EPs, heavy metals (HMs), and the removal efficiency of a biochemical wastewater treatment plant (WWTP) in three different seasons. The study also assessed the environmental impacts using several indices, such as the Canadian Council of Ministers of the Environment water quality index ( CCME-WQI ), heavy metal pollution index ( HPI ), heavy metal evaluation index ( HEI ), and risk quotients index ( RQ s). The analysis results showed that the WWTP could reduce only 15.5 % and 24.4 % of COD and BOD 5 , respectively, leaving a very high value of 468.3 and 249.9 mg/L, respectively, compared to the ECR (2023 ) standard. The removal rates for the HMs were in the order of Mn (5.7 %) < Cr (10.4 %) < Zn (20.0 %) < Ni (23.5 %) < Cd (59.4 %) < Cu (61.9 %) < Fe (73.1 %) < Pb (88.7 %). The discharged effluent contained a number of EPs and HMs, which were poor in quality, unsafe for consumption, and high in environmental risk. Acidic pH and low phosphate concentration in the biological process were found to be the key determining factors for the worst performance of the WWTP, though metal–ligand interaction was assumed to have some contribution. The phosphate recovery concept formulated in this study is assumed to be simple and straight-forward. The study argued that if some important parameters, such as pH, phosphate concentration, etc. are maintained properly, the studied biochemical treatment process can be effective for removing both PCPs and HMs.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".