Evidence map›Paper›PMID 42043131›Full record

ArticleToxics2026

Evaluation and Source Apportionment of Potentially Toxic Elements in the Chayuan Reservoir, Guizhou Province Using the Potential Ecological Risk Index (RI) and the PMF Model.

Xiaolin Feng, Mingfei Zhu, Meimei Yang, Pengfei Wang, Chunchun Chen, Chen Liu, Qiuhua Li

Abstract read
In one paragraph

Article in Toxics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaolin FengKey Laboratory for Information System of Mountainous Area, Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China.
Mingfei ZhuKey Laboratory for Information System of Mountainous Area, Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China.
Meimei YangKey Laboratory for Information System of Mountainous Area, Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China.
Pengfei WangKey Laboratory for Information System of Mountainous Area, Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China.
Chunchun ChenKey Laboratory for Information System of Mountainous Area, Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China.
Chen LiuKey Laboratory for Information System of Mountainous Area, Protection of Ecological Environment of Guizhou Province, Guizhou Normal University, Guiyang 550001, China.
Qiuhua LiGuizhou International Science & Technology Cooperative Base of Aquatic Ecology Research, Guiyang 550001, China.

Funding

Guizhou Provincial Science and Technology Program QKHPT-ZSYS [2025]004; QKHPT-YWZ [2024]006; QKHFQ [2024]016; QKHFQ [2023]010National Natural Science Foundation of China 42463007, 42563002, 42203007
6 · The paper itself

Abstract

Understanding the accumulation, ecological risk, and source interactions of potentially toxic elements (PTEs) in reservoir sediments is essential for protecting drinking water safety, yet such processes remain insufficiently understood in karst tea-plantation watersheds influenced by mixed anthropogenic activities. In this study, sediment cores collected from four sites (CY-1 to CY-4) during 2022-2024 were analyzed, and an integrated framework combining the Potential Ecological Risk Index (RI), Spearman correlation analysis, Principal Component Analysis (PCA), and Positive Matrix Factorization (PMF) was applied to evaluate contamination characteristics and quantify source contributions. The results revealed significant spatial-vertical heterogeneity of PTEs, with Zn (up to 153 mg/kg) and Cr (up to 64.6 mg/kg) showing the greatest variability, and strong co-enrichment among Cu, Zn, Pb, and Ni (r > 0.85,

Indexed as

karst reservoirPMF modelpotential ecological risk index (RI)potentially toxic elements

Identifiers

PMID42043131
PMCPMC13120285

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Registered trials

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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.