ArticleScientific reports2025
Characteristics, source apportionment, and health risk assessment of heavy metal pollution in soil of jiangmen, China.
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.
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
3 citing papers in PubMed.
- Dual mechanisms of Microbacterium algeriense C14 in alleviating cadmium toxicity during Zinnia elegans seed germination and early seedling growth.Scientific reports · 2026Article
- Integrating multi-spectral remote sensing and machine learning for quantifying and mapping heavy metal contamination in the Tarim River Basin, China.Scientific reports · 2026Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Heavy metal accumulated in soil pose substantial threats to soil environmental quality and human health. Accurate identification of pollution sources is critical for implementing targeted prevention and control strategies. In this study, 118 surface soil samples were collected from Jiangmen City to examine the concentration, spatial distribution, sources, and health risks of heavy metals in the soil. The results revealed that the average concentrations of Hg, Cd, Cu, Pb, and As exceeded their respective background values. Through the integration of Pearson correlation analysis and the Positive Matrix Factorization model, this study identified three primary pollution sources: industrial emissions (50%), land transport and shipping emissions (31%), and parent material and agricultural mixed sources (19%). Ecological risk assessment revealed that Jianghai and Pengjiang Districts posed the highest potential ecological risk, with an ecological risk index of 300. Health risk assessments further revealed that industrial emissions, as the primary influencing factor, pose potential carcinogenic and non-carcinogenic risks to both children and adults in Jiangmen City. This study provides a fundamental reference for understanding heavy metals contamination in the soil of Jiangmen City. The findings provide local authorities with targeted control measures to address long-term industrial pollution issues.
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.