Evidence map›Paper›PMID 31405094›Full record

ArticleInternational journal of environmental research and public health2019

Distribution and Potential Ecological Risk of Heavy Metals in Water, Sediments, and Aquatic Macrophytes: A Case Study of the Junction of Four Rivers in Linyi City, China.

Xiuling Li, Henglun Shen, Yongjun Zhao, Weixing Cao, Changwei Hu, Chen Sun

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.7field-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

9 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Concentrations, Distribution, and Pollution Assessment of Metals in River Sediments in China.International journal of environmental research and public health · 2021
    Review
  8. Article
  9. Bio-Capture of Solid Pollutants by Vegetation Canopy Cave in Shallow Water Flow.International journal of environmental research and public health · 2019
    Article
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 3 institutions in 1 country.

Xiuling LiCollege of Life Sciences, Linyi University, Linyi 276000, China.
Henglun ShenCollege of Life Sciences, Zaozhuang University, Zaozhuang 277160, China.
Yongjun ZhaoCollege of Biological Chemical Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Weixing CaoCollege of Biological Chemical Science and Engineering, Jiaxing University, Jiaxing 314001, China.
Changwei HuCollege of Biological Chemical Science and Engineering, Jiaxing University, Jiaxing 314001, China. changwei.hu@163.com.ORCID 0000-0001-7511-0739
Chen SunCollege of Biological Chemical Science and Engineering, Jiaxing University, Jiaxing 314001, China. sunbeammy@163.com.
Jiaxing University · CNLinyi University · CNZaozhuang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Yi River, the second longest river in Shandong Province, China, flows through Linyi City and is fed by three tributary rivers, Beng River, Liuqing River, and Su River in the northeastern part of the city. In this study, we determined the concentrations of five heavy metals (Cr, Ni, Cu, Zn, and Pb) in water, sediment, and aquatic macrophyte samples collected from the junction of the four rivers and evaluated the potential ecological risk of heavy metal pollution. Most of the heavy metals in water were in low concentrations with the water quality index (WQI) below 1, suggesting low metal pollution. The sediments showed low heavy metal concentrations, suggesting a low ecological risk based on the potential ecological risk index (RI) and the geo-accumulation index (

Indexed as

ChinaCitiesEnvironmental MonitoringGeologic SedimentsMetals, HeavyRisk AssessmentRiversTracheophytaWater Pollutants, ChemicalMetals, HeavyWater Pollutants, Chemicalbioaccumulationbioindicatorheavy metalrisk assessmentriversediment

Identifiers

PMID31405094
PMCPMC6719217
OpenAlexW2968939169

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.