Ecological and health risk assessment of rare earth elements in Kaifeng, Henan Province: a Monte Carlo probabilistic approach.

Weichun He, Yuanbo Wang, Keying Chen, Yuling Jiang, Qiang Li, Qin Liang

Abstract read

In one paragraph

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.

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

6 authors.

Weichun HeSchool of Geographic Sciences, Xinyang Normal University, Xinyang, 464000, China.

Yuanbo WangSchool of Geographic Sciences, Xinyang Normal University, Xinyang, 464000, China.

Keying ChenFaculty of Geographical Science and Engineering, Henan University, Kaifeng, 475004, China.

Yuling JiangSchool of Geographic Sciences, Xinyang Normal University, Xinyang, 464000, China. jiangyuling@xynu.edu.cn.

Qiang LiSchool of Design, Shanghai Jiao Tong University, Shanghai, 200240, China.

Qin LiangHenan Haoxiang Intellectual Property Service Group Co., Ltd, Zhengzhou, 450000, China.

Funding

National Natural Science Foundation of China 42501247Natural Science Foundation of Henan Province 252300420869Natural Science Foundation of Henan Province 252300421759

6 · The paper itself

Abstract

As rare earth elements (REEs) are increasingly used in production and daily life, the threat that REEs in urban soil pose to human health has become increasingly prominent. This study focused on urban soils in Kaifeng City. A total of 70 surface soil samples were collected to determine the concentrations of 13 REEs and conduct a risk assessment. To reduce the impact of uncertainties, Monte Carlo simulation was incorporated into the US EPA model to perform uncertainty analysis for health risk assessment. The results showed that: (1) The average total concentration of REEs in the soil of Kaifeng City was 139.36 mg kg

Indexed as

Metals, Rare EarthSoil PollutantsChinaEnvironmental ExposureEnvironmental MonitoringHumansMonte Carlo MethodRisk AssessmentSoilMetals, Rare EarthSoilSoil PollutantsKaifengMonte Carlo modelRare earth elementsRisk assessmentSensitivity analysis

Identifiers

PMID42092054

DOI10.1038/s41598-026-49384-4

PMCPMC13338131

What OpenQuestion holds

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LicenceCC BY

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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.