Application of the CCME WQI to Evaluate Water Quality for Drinking Purpose: A Case Study for Groundwater Quality of Al-Mahalibiyah SubDistrict, Nineveh Province/ Iraq.
Bibliographic record
Abstract
The current study aims to applying the Canadian water quality model on water of twelve wells distributed in Al-Mahalibiyah sub district, north-west of Mosul, to be evaluated for drinking purposes, Monthly water samples were collected from each well, (From June to December 2012) to estimate the followings: PH, Total dissolved solids, Total Hardness, Total Alkalinity, Anions and Cations concentrations. The results indicated a rise in some studied characters, especially Total dissolved Solid, Calcium and sulfate ions, that reached to (33909.673, 2271) mg / L, respectively, which have a negative impact on the CCMEWQI values, which ranged between (42.41 - 60.45) and this indicates that %83 of the water samples were classified as Marginal water category and the rest were classified as Poor water quality of drinking, this deterioration in water quality reflects the nature of the geological formations that water passes through, which requires some treatments such as freezing and slow melting to improve their quality before drinking.تهدف الدراسة الحالیة الى تطبیق الدلیل الکندی لنوعیة المیاه المحلبیة شمال غرب مدینة الموصل لتقیمها لأغراض الشرب، وقد جمعت عینات میاه الابار شهریا من کل بئر ( من حزیران T. والقاعدیة الکلیة TDS والمواد الذائبة الصلبة pH لغایة شهر کانون الاول 2012 ) لتقدیر کل من: قیمة الأس الهیدروجینی .Cations والموجبة Anions والایونات السالبة T. Hardness والعسرة الکلیة Alkalinity وتوصلت نتائج الدراسة الى ارتفاع ترکیز بعض الصفات المقاسة، ولاسیما الاملاح الذائبة الصلبة وایونات الکالسیوم 2271 ) ملغم. لتر- 1 على التوالی مما سیوثر فی قیم مؤشر نوعیة المیاه , 673, والکبریتات التی بلغت ( 3390 60.45 ) وهذا یشیر الى ان 83 % من العینات المائیة المدروسة من صنف – التی تراوحت بین ( 42.41 (CCMEWQI) للشرب وهذا التردی فی نوعیة المیاه یعکس طبیعة Poor quality والبقیة ردیئة النوعیة Marginal المیاه المشکوک بها التکوینات الجیولوجیة التی تمر بها المیاه، مما یتطلب بعض المعاملات البسیطة لها کعملیات التجمید والانصهار البطیء لتحسین نوعیتها قبل استخدامها للشرب
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".