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Record W4386500147 · doi:10.14796/jwmm.c504

The Variation of Water Parameters along the Bandawaya Valley, Northern Iraq

2023· article· en· W4386500147 on OpenAlexvenueno aff
Ali M. Sulaiman, Kotayba T. Al-Youzbakey, Daad A. Ismael

Bibliographic record

VenueJournal of Water Management Modeling · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsSodium adsorption ratioSodium carbonateWadiTotal dissolved solidsIrrigationRainwater harvestingSodiumSodium bicarbonateEnvironmental scienceWater qualityHydrology (agriculture)Environmental chemistryEnvironmental engineeringChemistryDrip irrigationGeologyAgronomyGeography

Abstract

fetched live from OpenAlex

Wadi Bandawaya, which is 40 km north of Mosul in Iraq, pierces Mount Dahqan and creates a small valley that is ideal for the construction of a dam for harvesting rainwater. Water quality is evaluated for domestic and agricultural uses using chemical analyses of the main cations (Ca2+, Mg2+, Na+, K+), anions (HCO3-, SO42-, Cl-, NO3-), as well as measurements of the acidity function (pH), electrical conductivity (Ec), concentration of total dissolved salts (TDS), and total hardness (TH). The valley water is considered to be within the limits permitted for drinking by the World Health Organization. If held inside the water harvesting project of the Bandawaya dam, the water of Bandawaya Valley is freshwater, suitable for drinking and domestic applications, according to the water quality index (WQI). It is also suitable for irrigation of agricultural lands adjacent to the valley in accordance with standards of the percentage of sodium (SSP), the rate of sodium adsorption (Sodium Adsorption Ratio, SAR), the quantity of residual sodium carbonate (Residual Sodium Bicarbonate, RSBC), and the percentage of magnesium (MAR). When there is little rain, the harvested water will be used for irrigation, as well as for supplemental irrigation techniques.

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)0.003
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.110
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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)0.0000.000

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 head0.033
GPT teacher head0.251
Teacher spread0.218 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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
Published2023
Admission routes1
Has abstractyes

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