Evidence map›Paper›PMID 38361101›Full record

ArticleEnvironmental science and pollution research international2024

A study of environmental pollution and risk of heavy metals in the bottom water and sediment of the Chaohu Lake, China.

Qiang Chen, Lei Wu, Chuncai Zhou, Gang Liu, Long Yao

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Article in Environmental science and pollution research international, 2024. 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

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

3 citing papers in PubMed.

  1. Article
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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.

Qiang ChenSchool of Resources and Environmental Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China.
Lei WuSchool of Resources and Environmental Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China. wulei01@mail.ustc.edu.cn.
Chuncai ZhouSchool of Resources and Environmental Engineering, Hefei University of Technology, Hefei, 230009, Anhui, China.
Gang LiuChaohu Administration Environmental Protection Monitoring Station, Hefei, 238000, Anhui, China.
Long YaoChaohu Administration Environmental Protection Monitoring Station, Hefei, 238000, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most of the existing research for heavy metals in water at present is focusing on surface water. However, potential environmental risk of heavy metals in the bottom water of lakes cannot be ignored. In this study, the content, distribution, and speciation of nine heavy metals (As, V, Cr, Co, Ni, Cu, Zn, Cd, and Pb) in the bottom water and sediment of Chaohu Lake were studied. Some pollution assessment methods were used to evaluate the environmental effect of heavy metals. Positive matrix factorization was conducted to investigate the potential sources of heavy metals in sediment. The contents of heavy metals in the bottom water of Chaohu Lake mean that its environmental pollution can be ignored. In sediment, Cd and Zn have showed stronger ecological risk. pH and redox potential are more likely to affect the stability of heavy metals in the bottom water of Chaohu Lake during the dry reason. Industrial sources (16%) are no longer the largest source of heavy metal pollution; traffic sources (33.6%) and agricultural sources (23.4%) have become the main sources of pollution at present. This study can provide some support and suggestions for the treatment of heavy metals in lakes.

Indexed as

Metals, HeavyWater Pollutants, ChemicalCadmiumChinaEnvironmental MonitoringEnvironmental PollutionGeologic SedimentsLakesRisk AssessmentWaterCadmiumMetals, HeavyWaterWater Pollutants, ChemicalBottom water, Chaohu LakeEcological riskHeavy metalsSource analysis, Positive matrix factorization (PMF)

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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.