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Record W7116893020 · doi:10.55164/ajstr.v29i1.260629

Physicochemical and Microbiological Evaluation of Reverse Osmosis Drinking Water Quality in Babylon Province, Iraq

2025· article· W7116893020 on OpenAlexaboutno aff
Hala Faez Al-Jawahery, Noor S. Naji, Atheer SN Al-Azawey

Bibliographic record

VenueASEAN Journal of Scientific and Technological Reports · 2025
Typearticle
Language
FieldEnvironmental Science
TopicMembrane Separation Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsReverse osmosisWater qualityContaminationHard waterNitrateTotal dissolved solidsAlkalinityChloride

Abstract

fetched live from OpenAlex

The physical, chemical and microbiological quality of drinking water produced from 25 reverse osmosis (RO) plants in five districts of Babylon Province, Iraq was assessed by applying the Canadian Water Quality Index (WQI). Systematic sampling of water for water quality assessment was undertaken from October 2024 to February 2025. Results showed that pH was between 6.1 to 7.8. Conductivity difference was noted to be large, between 10 and 360 μS/cm, whereas TDS exhibited between 6.14 and 225 mg/L, indicating the outstanding salt rejection in range of from ~90–99.5%. Total hardness showed a significant decrease (10-270 mg/L) with calcium hardness and magnesium hardness decreasing from 1 to 28 mg/L, and 1.458 to 62.694 mg/L, respectively; the concentrations of ions significantly decreased: chloride (11.85-49.98 mg/L), nitrate (0-0.024 mg/), sulfate (0.698-15.938 mg/). Counts of the total bacteria and coliforms were ranging from 177-301CFU/mL and 0-27CFU/100mL respectively in the sites based on microbial test. Based on WQI evaluation, 64% (n=16) of the samples were ranked to be excellent quality(0-25), 24%(n=6) good quality (26-50) and 12% (n=3) was poor quality(51-75). This integrated approach of the great extent study clearly verifies that RO technology has an outstanding performance to remove physicochemical contaminants, while presenting ongoing mastering difficulties such as microbiological safety and aluminum contamination to require more specific applicable guidelines in monitoring actions and regular maintenance works for their optimal operations.

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)0.012
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.030
GPT teacher head0.296
Teacher spread0.266 · 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 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
Published2025
Admission routes1
Has abstractyes

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