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Record W3084826891 · doi:10.33899/rjs.2018.159362

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.

2018· article· en· W3084826891 on OpenAlex
Abdul-Aziz Al-Saffawi

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMağallaẗ ʻulūm al-rāfidayn · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsAlkalinityWater qualityTotal dissolved solidsSulfateGroundwaterEnvironmental scienceEnvironmental engineeringHydrology (agriculture)Environmental chemistryChemistryGeologyGeotechnical engineeringEcology

Abstract

fetched live from OpenAlex

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

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.

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)0.006
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.212
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.068
GPT teacher head0.380
Teacher spread0.311 · 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