ArticleScientific reports2026
Source apportionment of potentially toxic elements (PTEs) in soils of the Huayuan Manganese Mining Area using PCA-IDW and PMF.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Under the long-term influence of mining activities, PTEs in surface soils of mining areas pose serious threats to human health. To investigate the pollution risks of PTEs in surface soils induced by manganese mining, this study takes the surface soils of a mining area as the research object. By integrating a coupled principal component analysis-inverse distance weighting (PCA-IDW) model with a positive matrix factorization (PMF) model, we conducted sampling, analysis, and source apportionment of PTEs in surface soils.The results indicate the following: Cd, Pb, and Zn are the core pollutants in the mining area, with mean concentrations significantly exceeding regional background values and reaching heavy to moderately heavy pollution levels. Elements such as V, Cr, and Ni are mainly controlled by geological background inputs and do not exhibit notable contamination. Source apportionment reveals that PTEs pollution in the mining area is dominated by mining-related activities (approximately 65% contribution in the PMF model), which release Cd, Pb, and Zn primarily through waste rock accumulation, tailings leakage, and leaching of beneficiation wastewater. High-value zones are concentrated around active mining operations and the tailings reservoir. Traffic emissions constitute the secondary source (about 20% contribution), arising from tire wear, fuel leakage, and ore spillage from ore-transport vehicles, with pollution showing a linear distribution along transportation corridors within the mining area. Contributions from residential activities are minor (less than 5%), introducing only slight inputs through scattered coal combustion and leachate from domestic waste within the mining area and having no significant influence on overall pollution levels.This study precisely quantifies the differential contributions of three internal pollution sources, providing scientific support for targeted control of PTEs in surface soils of mining regions and facilitating refined pollution management in mining areas.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.