Evidence map›Paper›PMID 28952008›Full record

ArticleEnvironmental science and pollution research international2017

Heavy metal contamination in surface sediments of representative reservoirs in the hilly area of southern China.

Xiaolong Wang, Lu Zhang, Zhonghua Zhao, Yongjiu Cai

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 16 citations in OpenAlex.

  1. Ecological and Health Risk Assessments of Heavy Metals Contained in Sediments of Polish Dam Reservoirs.International journal of environmental research and public health · 2022
    Article
  2. Article
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  4. Review
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 at 1 institution in 1 country.

Xiaolong WangKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, China.
Lu ZhangKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, China.
Zhonghua ZhaoKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, China.
Yongjiu CaiKey Laboratory of Watershed Geographic Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing, 210008, China. caiyj@niglas.ac.cn.ORCID http://orcid.org/0000-0002-3560-3798
Chinese Academy of Sciences · CN

Funding

Basic Work of Science and Technology 2012FY111800-03Basic Work of Science and Technology 2013FY111802National Natural Science Foundation of China 41471088
6 · The paper itself

Abstract

A study on the characteristics of heavy metals in surface sediments of typical reservoirs in the hilly area of southern China was carried out. The results showed that contents of heavy metals had great temporal and spatial heterogeneity among studied reservoirs. Zn, Pb, and As presented significant enrichment ratio in reservoirs of Dou Shui (DS) and Feng Tang (FT), as well as Ti in reservoirs of DZ and GT. The content of Cd in reservoir of FT reservoirs was characterized with high health risk with the significantly highest value of 52.43 mg/kg. Furthermore, Pb was identified with high health risk in reservoirs of SFM, Ouyang Hai (OYH), FT, and DS, and As was in OYH and ZX. Multivariate statistical analysis suggested high consistency in the variations of Cr, Ni, and Cu; moreover, Cd, Zn, and Pb were characterized with great homogeneity in their sources. In addition, agricultural activities might exert less effect on variations of heavy metals in studied reservoirs, considered that there was a weak relationship between heavy metals and nutrients. These results could improve our understanding of the spatial variations of heavy metals and their potential sources in reservoirs in this ecologically fragile region.

Indexed as

ChinaEnvironmental MonitoringGeologic SedimentsMetals, HeavyMultivariate AnalysisRisk AssessmentWater Pollutants, ChemicalMetals, HeavyWater Pollutants, ChemicalHealth assessmentHeavy metalsReservoirSediment

Identifiers

PMID28952008
OpenAlexW2759704117

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.