Evidence map›Paper›PMID 41986530›Full record

ArticleScientific reports2026

The radiological impacts of radioactivity in the Crown Mines gold tailings.

Mashinga J Mvelase, Sifiso S Ntshangase, Bonginkosi V Kheswa, Siyabonga N T Majola, Peane P Maleka

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.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Mashinga J MvelaseDepartment of Physics, University of Zululand, Private Bag X1001, Empangeni, 3880, South Africa. emjay.mvelase@gmail.com.
Sifiso S NtshangaseDepartment of Physics, University of Zululand, Private Bag X1001, Empangeni, 3880, South Africa.
Bonginkosi V KheswaDepartment of Physics, University of Johannesburg, P.O. Box 17011, Johannesburg, 2028, South Africa.
Siyabonga N T MajolaDepartment of Physics, University of Johannesburg, P.O. Box 17011, Johannesburg, 2028, South Africa.
Peane P MalekaSSC Laboratory, iThemba LABS, P.O. Box 722, Cape Town, 7129, South Africa.

Funding

National Research Foundation of South Africa CPRR23040388976
6 · The paper itself

Abstract

Mining is the main source of environmental radioactivity in areas where nuclear weapons tests are not conducted. The dispersion of radioactivity in the form of dust is inevitable for residents living near mine tailings. There have been complaints in areas such as Riverlea, in Soweto, Johannesburg, about dust pollution causing skin irritations and severe respiratory problems. The area is very close to the gold mine tailings. Soil samples were randomly collected from the Crown Mines gold tailings and the abandoned mines located west of Johannesburg, behind Soccer City Stadium. The specific activity was assessed using coaxial HPGe γ-spectroscopy, which measured the γ-signals in the soil samples, and the comprehensive radiological indices were subsequently evaluated. The results showed that the mean activity concentrations in some samples exceeded the global average, particularly for radium. The average concentrations of [Formula: see text]Ra, [Formula: see text]Th, and [Formula: see text]K were 302.99 ± 6.60, 8.25 ± 1.31, and 113.34 ± 20.80 Bq/kg, respectively. The average radiological indices exceeded their globally recommended values with the values of 1006.34 ± 22.10 [Formula: see text]Sv/y for AGDE, 323.50 ± 7.04 Bq/kg for Ra[Formula: see text], 293.98 ± 6.40 nGy/h for ADR, 5.05 ± 0.11 [Formula: see text] for ELCR, 1.69 ± 0.05 for H[Formula: see text], 1.44 ± 0.03 mSv/y for AEDE, 1.09 ± 0.04 for I[Formula: see text] and 1.51 ± 0.03 for I[Formula: see text]. Statistical analyses, including skewness, kurtosis, Pearson correlation coefficients, and ANOVA, were used to characterise radionuclide distributions and relationships. The Pearson correlation matrix revealed a strong positive correlation between [Formula: see text]Ra and all estimated radiological hazard indices, while [Formula: see text]Th and [Formula: see text]K showed a weak but positive correlation with [Formula: see text]Ra and all indices. These findings suggest that radioactivity from the ambient geology of the mining tailings under survey poses a serious health risk, even if the impacts are not immediate. Therefore, close monitoring and evaluation of these tailings are necessary to ensure that residents' exposure remains as low as reasonably achievable. These are significant indicators of potential harm to human health, wildlife, and ecosystems, as ionising radiation can damage living cells and genetic material, specifically DNA.

Indexed as

GoldMiningRadiation MonitoringSoil Pollutants, RadioactiveHumansRadioactivityRadiumSouth AfricaGoldRadiumSoil Pollutants, RadioactiveAbsorbed doseEquivalent doseExcess lifetime cancer riskGold tailingsRadioactivitySoweto

Identifiers

PMID41986530
PMCPMC13243457

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LicenceCC BY-NC-ND
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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.