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Record W2549826217

Assessment of water quality in main branches of Shatt Al Arab River

2015· article· en· W2549826217 on OpenAlexaboutno aff
Kifah M. Khudhair

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsWater qualityTurbidityEnvironmental scienceHydrology (agriculture)SewageRecreationBiochemical oxygen demandWater pollutionNitrateFecal coliformWastewaterEnvironmental engineeringEcologyChemical oxygen demandBiology
DOInot available

Abstract

fetched live from OpenAlex

Shatt Arab River is characterized by its large number of lateral branches. Some of these bra nches extend into the center of Basra province, Southern of Iraq. These branches include; Saraji, Khora, Ash ar, Khandek, Robat, Jubyla, and Shatt Al Turk. The extension of these branches into the center of Basra province transforms them to locations for the dispo sal of sanitary sewage and solid waste. This causes their pollution and high lights the necessity of evaluati ng their water quality. The aim of this study is to assess the present status of water quality in main branche s of Shatt Al Arab River using Canadian Water Quality Index. The assessment considers the water quality f or three uses; domestic, recreation, and aquatic li fe support. To achieve this aim, water samples were ta ken from the considered branches during high and lo w tide times. The samples were tested for determining the values of ten quality parameters; dissolved ox ygen, biochemical oxygen demand, turbidity, total dissolv ed solids, pH, ammonia, total coliform bacteria, fe cal coliform bacteria, nitrate, lead, and sulfate. The obtained values of Canadian Water Quality Index for the main branches of Shatt Al Arab River vary over the ranges (13.3-25.8), (19.3-32.1), and (13.0-27.8) fo r domestic, recreation, and aquatic life support uses . These results indicated that the water quality in main branches of Shatt Al Arab River is poor and their w ater cannot be used for domestic, recreation, or aq uatic life support.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.998

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.347
Teacher spread0.282 · 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.

Study designObservational
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

Citations1
Published2015
Admission routes1
Has abstractyes

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