Evidence map›Paper›PMID 31571026›Full record

ArticleEnvironmental geochemistry and health2020

Assessment of heavy metals and arsenic pollution in surface sediments from rivers around a uranium mining area in East China.

Lili Zheng, Zhongkui Zhou, Miaomiao Rao, Zhanxue Sun

Abstract read
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In one paragraph

Article in Environmental geochemistry and health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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.

Lili ZhengSchool of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, 330013, Jiangxi, China.
Zhongkui ZhouSchool of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, 330013, Jiangxi, China. zhkzhou80@163.com.
Miaomiao RaoSchool of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, 330013, Jiangxi, China.
Zhanxue SunSchool of Water Resources and Environmental Engineering, East China University of Technology, Nanchang, 330013, Jiangxi, China.

Funding

National Natural Science Foundation of China 41662024Natural Science Foundation of Jiangxi Province 20142BAB213021Science and Technology Plan of Jiangxi Provincial Department of Education GJJ13439
6 · The paper itself

Abstract

Taking the surface sediments of rivers near a uranium mine in East China as the research object, the concentrations of seven metals, including Cr, Cu, Ni, Pb, Zn, Cd and As, were analyzed. The pollution degree and ecological risk of heavy metals and arsenic were evaluated according to the geo-accumulation index, pollution loading index, potential ecological risk index and sediment quality guidelines. Finally, the sources of pollution were determined by Pearson's correlation analysis, principal component analysis and hierarchical cluster analysis. The results indicated that Cr, Cu, Ni, Pb, Zn, Cd and As in sediments showed varying degrees of contamination, using the soil background value of the study area as a reference, and Cd was the main excessive pollutant in the sediments. In most parts of the river, Cd has reached a moderate level of pollution. The potential ecological hazards at sampling sites 9, 13, 17 and 18 are significantly higher than the other sites because of the impact of urbanization and uranium mining and smelting. Cu, Zn, Cr, Ni and Cd are mainly derived from urban activities and the uranium industry, Pb is mainly derived from vehicle emissions, and As is mainly derived from nature and rocks.

Indexed as

ArsenicChinaEnvironmental MonitoringGeologic SedimentsMetals, HeavyMiningRiversSoilUraniumWater Pollutants, ChemicalArsenicMetals, HeavySoilUraniumWater Pollutants, ChemicalHeavy metals and arsenicPollution assessmentSedimentsSource identificationUranium

Identifiers

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Registered trials

None linked

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.