Evidence map›Paper›PMID 40137478›Full record

ArticleToxics2025

Assessment of Heavy Metal Contamination, Distribution, and Source Identification in Surface Sediments from the Mid-Upper Reaches of the Yellow River.

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

Abstract read
In one paragraph

Article in Toxics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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, China.ORCID 0009-0002-3276-6847
Ling TaoSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Hanru RenSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Xiangyu XueSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Zhijie YangSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Yucheng JiangSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.
Jun RenSchool of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China.

Funding

the Industrial Support Program of 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 both a source and a reservoir for potential heavy metal pollutants, providing critical insights into the health of aquatic ecosystems. Heavy metal contamination in global river systems poses significant risks to human health through the food chain. This study investigates the contents of heavy metals, including Fe, Mn, Cu, Ni, Zn, Cr, Pb, and Cd, in surface sediment samples collected from the mid-upper reaches of the Yellow River, which flows through the provinces of Qinghai, Gansu, Ningxia, Inner Mongolia, Shaanxi, and Henan. We analyzed the contents and spatial distribution characteristics of these metals and assessed their pollution levels by identifying potential sources of contamination. The findings reveal elevated concentrations of Cr and Cd in the mid-upper reaches of the Yellow River, with particularly severe pollution observed in certain urban areas. The sources of these heavy metals are primarily linked to human activities related to production and daily life. This study offers valuable guidance for local pollution control and prevention strategies.

Indexed as

heavy metalsedimentssource analysisspatial distributionYellow River

Identifiers

PMID40137478
PMCPMC11945980

What OpenQuestion holds

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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.