Effect of Textile Factory effluents upon concentrations of Some Trace Elements in Water of the Euphrates River at the center of Al-Nasiriyah city Southern Iraq
Bibliographic record
Abstract
The present study deal with the effect of the effluents from of Textile Factory, in concentrations of six traceelements ( Cadmium, copper, Nickel, Lead, Zinc, and Manganese) in water of Euphrates river at the center of Al-Nasiriyah south of Iraq. Five stations have been chosen, two of them where are located at the Textile Factory in AL-Nasiriyah, and three of these are located at the Euphrates river at the city center. That that samples were collected monthly as triplicates from each station and expressed seasonally, for the period from Autumn 2013 until Summer of 2014 . Trace elements are extracted by a standard method and measured by using flamed atomic absorption spectrophotometer . The mean of total concentration were ( Cadmium, Copper, Nickel, Lead, Zinc, and Magnesium) in the dissolved phase of water were (2.60, 1.88, 6.32, 13.15, 13.87, 13.30) µg / L , respectively. But its concentration in the suspended phase in water were ( 21.13 , 52.31, 1222.67, 947.12, 1298.32, 269.30) µg / gm dry weight, respectively.This study shows up that Zinc elements was in more than concentration of there trace elements under study in the dissolved and suspended phases of the studied stations. But , it is found under the permitted limits according to the international and Iraqi limitations, while the lead in dissolved phase more than the permitted limitation according to the Iraqi qualifications No(417) in 2001 and internationally according the World Health Organization in (1996 and 2006) and the Canadian Limitations in 2003.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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 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".