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Record W2005693635 · doi:10.5539/ijc.v3n2p32

Assessment of Surface Water Quality: The Perspective of the Weija Dam in Ghana

2011· article· en· W2005693635 on OpenAlexvenueno aff
Alfred Kwablah Anim, Godfred Odame Duodu, Elikem Kwaku Ahialey, Y. Serfor-Armah

Bibliographic record

VenueInternational Journal of Chemistry · 2011
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsnot available
Fundersnot available
KeywordsChemistryWater qualityDominance (genetics)SalinityWeatheringDilutionIrrigationHydrology (agriculture)PrecipitationEnvironmental chemistryTotal dissolved solidsEnvironmental scienceGeologyEnvironmental engineeringGeochemistryOceanographyEcology

Abstract

fetched live from OpenAlex

Investigations into the water quality from the Weija Dam have been carried out. The inhabitants around the dam use the water for drinking and irrigation mainly, apart from fishing activities. Twenty five samples were collected and standard methods were used for the measurement of physical and chemical parameters. The ionic dominance pattern for cation and anion was Na+ >K+ > Ca2+ > Mg2+and HCO3- >Cl- >SO42- respectively. The ionic dominance pattern of the study area was in contrast with the ionic dominance pattern of Ca2+ > Mg2+ > Na+> K+ and HCO3- > SO42-> Cl- for fresh water and Na+ > Mg2+ > Ca2+ > K+ and Cl- > SO42-> HCO3- for sea water. Generally, anthropogenic activities along the Densu river basin and rock weathering, as opposed to evaporation-crystallisation and precipitation, could be the source of major ions in the dam. The hydrochemistry gives an indication that the water is soft and suitable for domestic use. The water was also found to be useful for irrigation without prior dilution with low salinity waters.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.468
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.023
GPT teacher head0.274
Teacher spread0.251 · 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 designObservational
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

Citations13
Published2011
Admission routes1
Has abstractyes

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