Evidence map›Paper›PMID 29047066›Full record

ArticleEnvironmental science and pollution research international2018

Spatial distribution and potential biological risk of some metals in relation to granulometric content in core sediments from Chilika Lake, India.

Saroja K Barik, Pradipta R Muduli, Bita Mohanty, Prasanta Rath, Srikanta Samanta

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Article in Environmental science and pollution research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 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

5 authors.

Saroja K BarikDepartment of Chemistry, School of Applied Sciences, KIIT University, Bhubaneswar, Odisha, 751024, India. bariksaroj@yahoo.co.in.
Pradipta R MuduliWetland Research and Training Centre, Chilika Development Authority, Barkul, Balugaon, Odisha, 752030, India.
Bita MohantyWetland Research and Training Centre, Chilika Development Authority, Barkul, Balugaon, Odisha, 752030, India.
Prasanta RathDepartment of Chemistry, School of Applied Sciences, KIIT University, Bhubaneswar, Odisha, 751024, India.
Srikanta SamantaICAR-Central Inland Fisheries Research Institute, Barrackpore, Kolkata, 700120, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The article presents first systematic report on the concentration of selected major elements [iron (Fe) and manganese (Mn)] and minor elements [zinc (Zn), copper (Cu), chromium (Cr), lead (Pb), nickel (Ni), and cobalt (Co)] from the core sediment of Chilika Lake, India. The analyzed samples revealed higher content of Pb than the background levels in the entire study area. The extent of contamination from minor and major elements is expressed by assessing (i) the metal enrichments in the sediment through the calculations of anthropogenic factor (AF), pollution load index (PLI), Enrichment factor (EF), and geoaccumulation index (Igeo) and (ii) potential biological risks by the use of sediment quality guidelines like effect range median (ERM) and effect range low (ERL) benchmarks. The estimated indices indicated that sediment is enriched with Pb, Ni, Cr, Cu and Co. The enrichment of these elements seems to be due to the fine granulometric characteristics of the sediment with Fe and Mn oxyhydroxides being the main metal carriers and fishing boats using low grade paints, fuel, and fishing technology using lead beads fixed to fishing nets. Trace element input to the Chilika lake needs to be monitored with due emphasis on Cr and Pb contaminations since the ERM and ERL benchmarks indicated potential biological risk with these metals.

Indexed as

Environmental MonitoringGeologic SedimentsIndiaLakesMetals, HeavyRisk AssessmentWater Pollutants, ChemicalMetals, HeavyWater Pollutants, ChemicalAnthropogenic factorsChilika lakeCore sedimentsGranulometricMinor and major elementsPotential biological risk

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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.