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Record W4400026738 · doi:10.32792/utq/utjsci/v5i3.136

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

2015· article· en· W4400026738 on OpenAlexaboutno aff
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Bibliographic record

VenueUniversity of Thi-Qar Journal of Science · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsFactory (object-oriented programming)TextileEffluentTRACE (psycholinguistics)Environmental scienceCenter (category theory)Environmental chemistryEnvironmental engineeringGeographyArchaeologyChemistryComputer science

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.407
Threshold uncertainty score0.885

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.248
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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