Analysis of Water Quality Using Physico-Chemical Parameters in the Shatt AL-Arab Estuary, Iraq
Bibliographic record
Abstract
Six sampling stations, Al-Qurna, paper factory, Al- Sindebad, AL-Ashar, Al-Sebah and Al-Fao , representing different sectors of Shatt AL-Arab estuary were selected to the distribution of the Physical and chemical parameters. Water sample analyzed from August 2008 to July 2009,Dissolved Oxygen (DO), Turbidity, Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Electrical Conductivity (EC) , temperature, salinity and pH as well as nutrients were also analyzed . The mean range of the following parameters were recorded: pH (7.56-7.84), EC (1.29-3.22 mmohs/cm 2 ), Ca (87.18-130.26 mg/l), Mg (60.35-111.17 mg/l), Cl (304.7-753.31 mg/l), TSS (11-38.58 mg/l), TDS (891-2040.42 mg/l), DO (5.16-10.05 mg/l), turbidity (4.57-39.03 FTU), water temperature (21.09-22.47 °C), air temperature (23.54-35.26 °C), SO 2- (285.73-663.89 mg/l), HCO 3 (204.39-255.22 mg/l), and Nutrient(NO 2 , NO 3 ,PO 4 ). Also the seasonal variation of all the parameters were monitored during this study and the result showed some fluctuation in some of them during different seasons at different locations of the estuary The results indicate that the water is no-polluted and can be used for domestic, irrigation and fisheries.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".