Evidence map›Paper›PMID 26832870›Full record

ArticleEnvironmental science and pollution research international2016

Distribution, speciation, environmental risk, and source identification of heavy metals in surface sediments from the karst aquatic environment of the Lijiang River, Southwest China.

Daoquan Xu, Yinghui Wang, Ruijie Zhang, Jing Guo, Wei Zhang, Kefu Yu

Abstract 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. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

14 citing papers in PubMed, 58 citations in OpenAlex.

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  12. Concentrations, Distribution, and Pollution Assessment of Metals in River Sediments in China.International journal of environmental research and public health · 2021
    Review
  13. 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

6 authors at 1 institution in 1 country.

Daoquan XuSchool of Marine Sciences, Guangxi University, Nanning, 530004, China.
Yinghui WangSchool of Marine Sciences, Guangxi University, Nanning, 530004, China. wyh@gxu.edu.cn.
Ruijie ZhangSchool of Marine Sciences, Guangxi University, Nanning, 530004, China.
Jing GuoSchool of Marine Sciences, Guangxi University, Nanning, 530004, China.
Wei ZhangSchool of Marine Sciences, Guangxi University, Nanning, 530004, China.
Kefu YuSchool of Marine Sciences, Guangxi University, Nanning, 530004, China. kefuyu@scsio.ac.cn.
Guangxi University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The distribution and speciation of several heavy metals, i.e., As, Cd, Cr, Cu, Hg, Pb, and Zn, in surface sediments from the karst aquatic environment of the Lijiang River, Southwest China, were studied comparatively. The mean contents of Cd, Cu, Hg, Pb, and Zn were 1.72, 38.07, 0.18, 51.54, and 142.16 mg/kg, respectively, which were about 1.5-6 times higher than their corresponding regional sediment background values. Metal speciation obtained by the optimized BCR protocol highlighted the bioavailable threats of Cd, Cu, and Zn, which were highly associated with the exchangeable fraction (the labile phase). Hierarchical cluster analysis indicated that in sediments, As and Cr were mainly derived from natural and industrial sources, whereas fertilizer application might lead to the elevated level of Cd. Besides, Cu, Hg, Pb, and Zn were related to traffic activities. The effects-based sediment quality guidelines (SQGs) showed that Hg, Pb, and Zn could pose occasional adverse effects on sediment-dwelling organisms. However, based on the potential ecological risk assessment (PER) and risk assessment code (RAC), Cd was the most outstanding pollutant and posed the highest ecological hazard and bioavailable risk among the selected metals. Moreover, the metal partitioning between water and sediments was quantified through the calculation of the pseudo-partitioning coefficient (K P), and result implied that the sediments in this karst aquatic environment cannot be used as stable repositories for the metal pollutants.

Indexed as

ChinaEcologyEnvironmental MonitoringGeologic SedimentsMercuryMetals, HeavyRisk AssessmentRiversWater Pollutants, ChemicalMercuryMetals, HeavyWater Pollutants, ChemicalEnvironmental riskHeavy metalKarst riverMetal partitioningSediment analysisSource identification

Identifiers

PMID26832870
OpenAlexW2307921664

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.