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Assessment of persistent organic pollutants in soil and water of kara bisichi, barkin ladi lga of Plateau state, Nigeria

2021· article· en· W4379211667 on OpenAlexaboutno aff
Emily Mathew, Juliet D. Dodo, Samuel Maton, M B Dalen

Bibliographic record

VenueInternational Journal of Advanced Chemistry Research · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsDieldrinAldrinEnvironmental chemistryDimethoateParaquatEndosulfanChemistryPesticideSoil waterEnvironmental scienceBiologyAgronomySoil science

Abstract

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Persistent organic pollutants (POPs) are organic compound that remain intact for exceptionally long periods of time in the environment as they resist photolytic, chemical and biological degradation. Environmental impacts from POPs continue to generate global concern and attract attention especially in urban centers, Some POPs compounds which are toxic, mutagenic, or carcinogenic and can bio-accumulate by aquatic organisms, plants and human from polluted water and soil. The study aims to identify and quantify the presence of POPs in soil and water of Kara Bisichi of Barkin Ladi Local Government Area of Plateau State, Nigeria. Soils and water sample were randomly collected at five points within the study area. The pesticide residual levels of the POPs were determined using Gas chromatography- electron capture detector (GC/ECD). The soil samples of both the treated and control had concentrations range of :aldrin (0.008-0.054mg/kg), dieldrin (0.004-0.012mg/kg), heptachlor epoxide (0.009-0.013 mg/kg), paraquat (ND – 0.014 mg/kg), dichlorvos (0.008-0.010 mg/kg), sulprofos (0.002-mg/kg), endosulfan II (ND – 0.0104 mg/kg), all falls within the USEPA and UK MRL standard value of 0.02mg/kg and 0.01mg/kg, except for glyposate (0.0189-0.656mg/kg), dimethoate(0.0132-0.049mg/kg), chlorpyrifos (ND-0.209mg/kg) and cypermathrin (ND-0.176mg/kg) which falls above. And for the water sample had the concentration of: aldrin (0.013mg/l), dieldrin (0.003mg/l), Paraquat (0.010mg/l), dichlorvous (0.077mg/l), glyphosate (0.004mg/l), sulprofos (0.173mg/l). Dimethoate (0.035mg/l), propyzamine (0.712mg/l), atrazine (0.568mg/l), heptachlor epoxide (0.077mg/l), chlorpyrifors (0.173mg/l), p,p–DDT (0.010mg/l) and (0.021mg/l), which all falls within the USEPA, WHO, Australia, Canadian and EU standard value for pesticides in water respectively except for Heptachlor epoxide and chlorpyrifos whose values (0.774mg/l and 0.173mg/l) were above the MRL set by WHO/Australian as (0.03mg/l and 0.05mg/l).

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.017
GPT teacher head0.333
Teacher spread0.315 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2021
Admission routes1
Has abstractyes

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