Evidence map›Paper›PMID 40108212›Full record

ArticleScientific reports2025

Assessment of surface sediment properties and heavy metal contamination in typical urban areas of the Yellow River, China.

Junzhang Wang, Ling Tao, Hanru Ren, Xiangyu Xue, Zhijie Yang, Yucheng Jiang, Jun Ren

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. 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
  2. Article
  3. 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

7 authors.

Junzhang WangSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China.
Ling TaoSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China.
Hanru RenSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China.
Xiangyu XueSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China.
Zhijie YangSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China.
Yucheng JiangSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China.
Jun RenSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, 730070, P. R. China. renjun@mail.lzjtu.cn.

Funding

the Industrial Support Program of The Education Department of Gansu Province 2021CYZC-31the project of Gansu Province Science and Technology Plan 22CX3GA076the Special Project of Gansu Science and Technology Commissioner 23CXGA0082
6 · The paper itself

Abstract

River sediments serve as a source and sink of potential heavy metal pollutants and offer crucial information for aquatic ecosystem health. Heavy metal pollution is a serious issue in global river systems and impacts humans via the food chain. In order to explore the distribution level of heavy metals in the water quality of the Yellow River in China. This study analyzed eight heavy metals (Fe, Mn, Cu, Ni, Zn, Cr, Pb, and Cd) in sediments from six typical urban areas in the middle and upper reaches of the Yellow River using three evaluation. The enrichment factor, geo- accumulation index, and potential ecological risk. This study results show that the contents of Cr and Cd are relatively high in the six cities. Among them, Weinan and Luoyang are two cities with serious heavy metal pollution among the six typical cities. This study has certain guiding significance for relevant partial governance and pollution prevention.

Indexed as

Heavy metalPollution assessmentSpatial distributionThe Yellow RiverTypical urban areas

Identifiers

PMID40108212
PMCPMC11923100

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.