Evidence map›Paper›PMID 35604504›Full record

ArticleEnvironmental monitoring and assessment2022

Potentially Toxic Elements (PTEs) contamination and ecological risk of sediment in the upper course of the Ankobra River, Ghana.

Josephine Obodai, Kwaku Amaning Adjei, Albert Ebo Duncan, Samuel Nii Odai

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Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Josephine ObodaiAkenten Appiah-Menka University of Skills Training and Entrepreneurial Development, Kumasi, Ghana. joseikwart@gmail.com.ORCID http://orcid.org/0000-0002-7725-2180
Kwaku Amaning AdjeiKwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Albert Ebo DuncanUniversity of Cape Coast, Cape Coast, Ghana.
Samuel Nii OdaiKwame Nkrumah University of Science and Technology, Kumasi, Ghana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metals, when introduced into a high pH aquatic environment, generally sink into bottom sediments and can pose a direct and indirect threat to aquatic organisms as well as humans. The concentrations of ten heavy metals (Mn, Fe, Cd, Cu, Cr, Pb, Hg, As, Zn, and Al) in the surface sediment samples from the upper part of the Ankobra, which is an illegal mining (Galamsey) prone area, were assessed in both the dry and wet seasons. To ascertain the quality of sediments, sediment quality indices, including enrichment factor (EF), index of geo-accumulation (I-geo), and modified pollution index (MPI), were employed. A comprehensive potential ecological risk assessment was also carried out using the consensus-based sediment quality guideline (CBSQG) as well as the modified potential ecological risk index (MPERI). In general, the sediment is considered to be "slightly" to "moderately" polluted in the dry season as well as "moderately" to "heavily'' polluted in the wet season. The potential ecological risk of the metals in the sediments was within the considerable to high-risk grade for Hg, moderate to considerable risk for Cd, low to moderate risk for As, and low risk for Cu, Cr, Pb, and Zn. The order of decreasing potential ecological risk for the metals is Hg > Cd > As > Cu > Pb > Cr > Zn and the risk in the wet season was higher than that in the dry season.

Indexed as

MercuryMetals, HeavyWater Pollutants, ChemicalCadmiumChinaEnvironmental MonitoringGeologic SedimentsGhanaHumansLeadRisk AssessmentRiversCadmiumLeadMercuryMetals, HeavyWater Pollutants, ChemicalEnrichment factorMiningModified ecological risk indexModified pollution indexSediment quality guideline

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.