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An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings

Author

Listed:
  • Frank Komati

    (Department of Mathematical and Physical Sciences, Central University of Technology, Private Bag X 20539, Bloemfontein 9300, South Africa)

  • Martin Ntwaeaborwa

    (Faculty of Science, School of Physics, University of the Witwatersrand, Private Bag 3, Braamfontein 2050, South Africa)

  • Rian Strydom

    (Parc Scientific, Cresta 2118, South Africa)

Abstract

The USA Environmental Protection Agency’s (EPA) Industrial Source Complex Short Term 3 (ISCST3) dispersion modelling code was used to evaluate radon transport and the effects of local variations around tailings dam using a Gaussian plume model. The tailings dam was modelled as point, flat ground and top level, total emitting surface area (true geometry) and volume source geometries. The true area geometry was considered as the baseline source geometry. To improve the accuracy of the model predictions as compared to traditional approaches, the true geometry area source term was corrected to account for cracks and fissures on the tailings and the geometry of tailings dam was modelled by considering all emitting surfaces as sources. Compared to the baseline, the model overpredicted the flat ground area source by up to 274% and underpredicted the top-level area source by up to 50%. The volume emission source was overpredicted by up to 300% in 60% of the modelling runs and underpredicted by 55% in 40% of the volume model runs. While the top-level area source term produced lower concentrations at near-field ground-level receptors, accounting for the wakes effect increased the radon concentrations from the top-level area source of the tailings dam by up to 239%. From the modelling results, the highest concentration predicted by the model from the true geometry source was found to be 0.843 Bq m −3 , which corresponds to the dose of 0.012 mSv/y to the public due to radon from the tailings. This value is less than the 1 mSv/y dose constraint stipulated by the National Nuclear Regulator.

Suggested Citation

  • Frank Komati & Martin Ntwaeaborwa & Rian Strydom, 2022. "An In Toto Approach to Radon Dispersion Modelling from a South African Gold Mine Tailings," IJERPH, MDPI, vol. 19(13), pages 1-29, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:8201-:d:855835
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    References listed on IDEAS

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    1. Robert Simons & Aly Karam, 2008. "Affordable and middle-class housing on Johannesburg's mining sites: a cost-benefit analysis," Development Southern Africa, Taylor & Francis Journals, vol. 25(1), pages 3-20.
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    Cited by:

    1. Yanwei Lyu & Jinning Zhang & Fei Yang & Di Wu, 2022. "The “Local Neighborhood” Effect of Environmental Regulation on Green Innovation Efficiency: Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-20, August.

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