Evidence map›Paper›PMID 26769477›Full record

ArticleEnvironmental science and pollution research international2016

An ecological risk assessment of heavy metal contamination in the surface sediments of Bosten Lake, northwest China.

Zulpiya Mamat, Sadiguli Haximu, Zhao Yong Zhang, Rouzi Aji

Erratum issuedAbstract read
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In one paragraph

Article in Environmental science and pollution research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  14. Heavy metal pollution in immobile and mobile components of lentic ecosystems-a review.Environmental science and pollution research international · 2018
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Zulpiya MamatXinjiang Key Laboratory of Lake Environment and Resources in Arid Zone, Xinjiang Normal University, Urumqi, 830054, China. zulpiya1219@163.com.
Sadiguli HaximuEditorial Department of Journal, Xinjiang Normal University, Urumqi, 830054, China.
Zhao Yong ZhangCollege of Chemistry Environmental Engineering, Shenzhen University, Shenzhen, 518060, China.
Rouzi AjiXinjiang Meteorological Bureau, Urumqi, 830002, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bosten Lake, a typical rump lake in an oasis in northwest China, was chosen to evaluate the distribution, sources, pollution status, and potential ecological risk of heavy metals. Sediment samples were collected from the lake, and results showed that the values of the eight heavy metals all fell within the Second Soil National Standard, while the average and maximum values of the metals were higher than the background values of the study. Multivariate statistical analysis showed that sediment concentrations of Cd, Pb, Hg, and Zn were mainly influenced by man sources. In comparison, Cu, Ni, Cr, and As were primarily natural in origin. Enrichment factor analysis (EF) and the geo-accumulation index evaluation method (I geo) showed that Cd, Hg, and Pb fell under low and partial serious pollution levels, while Zn, As, Cr, Ni, and Cu mainly were characterized under no pollution and low pollution levels. The potential ecological hazards index (RI) showed that among the eight heavy metals, Pb, Hg, and Cd posed the highest potential ecological risk, with potential ecological hazards indices (RI) of 29.06, 27.71, and 21.54 %, respectively. These findings demonstrated that recent economic development in the area of the basin has led to heavy metal accumulation in the surface sediments of the lake.

Indexed as

ChinaEnvironmental MonitoringGeologic SedimentsLakesMetals, HeavyMultivariate AnalysisRisk AssessmentWater Pollutants, ChemicalMetals, HeavyWater Pollutants, ChemicalArid rump lakeBosten LakeDistributionHeavy metalsNorthwest ChinaPotential ecology riskSources and pollution

Identifiers

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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.