Evidence map›Paper›PMID 34923615›Full record

ArticleEnvironmental science and pollution research international2022

Eutrophication and sediment-water exchange of total petroleum hydrocarbons and heavy metals of Hashilan wetland, a national heritage in NW Iran.

Sajjad Abbasi, Sara Sheikh Fakhradini, Neamatollah Jaafarzadeh, Pooria Ebrahimi, Shirin Yavar Ashayeri

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Sajjad AbbasiDepartment of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran. sajjad.abbasi.h@gmail.com.ORCID http://orcid.org/0000-0002-5194-9334
Sara Sheikh FakhradiniDepartment of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran.
Neamatollah JaafarzadehEnvironmental Technologies Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Pooria EbrahimiDepartment of Earth, Environmental and Resources Sciences, University of Naples Federico II, 80126, Naples, Italy.
Shirin Yavar AshayeriDepartment of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heavy metal(loid)s concentrations in water and sediments were analyzed in the Hashilan wetland to assess the spatial distribution, pollution status, fate, partitioning, and ecological risk and also to identify the heavy metal(loid)s sources in sediments using PMF (Positive Matrix Factorization) and APCs-MLR (absolute principal component score-multiple linear regression) receptor models. According to the pollution indices, (Ni, Cu, Cr, Mo), and (Zn, Cr, and Cu) are considered the most important pollutants in sediments and water, respectively. Ni, Cr, and Cu are the main contributors to ecological risks in sediments of some stations. The potential ecological risk assessment proposed low ecological risk in water of the study area. Higher distribution coefficient (K

Indexed as

Metals, HeavyPetroleumWater Pollutants, ChemicalCadmiumChinaEnvironmental MonitoringEutrophicationGeologic SedimentsHydrocarbonsIranLeadRisk AssessmentWaterWetlandsCadmiumHydrocarbonsLeadMetals, HeavyPetroleumWaterWater Pollutants, ChemicalEutrophicationHashilanHeavy metalIranTPHWetland

Identifiers

PMID34923615
PMCPMC8989912

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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.