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Dose Assessment in Mining Communities in South Africa Using Ecolego Simulation Software.

Violet Patricia Dudu1, Masengo Ilunga1, Dunisani Thomas Chabalala1

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This study used Ecolego simulation to assess long-term radionuclide exposure risks and health impacts from inhalation. Adults received higher doses than infants, highlighting the need for effective monitoring and regulatory policies.

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Area of Science:

  • Environmental Science
  • Radiological Health
  • Computational Modeling

Background:

  • Radionuclide contamination poses risks to public health and the environment.
  • Understanding long-term exposure pathways is crucial for risk assessment.

Purpose of the Study:

  • To predict long-term radionuclide behavior in air and soil using Ecolego simulation.
  • To estimate potential health impacts from inhalation exposure in adults and infants.
  • To inform monitoring strategies and regulatory policies.

Main Methods:

  • Utilized Ecolego simulation for radionuclide concentration prediction over 100 years.
  • Conducted dose assessments for eight key radionuclides (U-238, Th-232, Ra-226, Pb-210, Po-210, Th-234, Th-230, U-234).
  • Evaluated inhalation pathways for adult and infant populations across three study areas (A, B, C).

Main Results:

  • Adult inhalation doses were consistently higher than infant doses across all study areas.
  • Infant inhalation doses ranged from 1.86 × 10⁻² µSv to 43.45 µSv.
  • Adult inhalation doses ranged from 3.58 × 10⁻² µSv to 271.56 µSv, with total annual doses of 1811–2015 µSv/y.
  • Infant annual doses were 744.51–745 µSv/y.

Conclusions:

  • Simulation results provide critical data for developing effective exposure mitigation strategies.
  • Findings support the enhancement of regulatory policies to protect public health from radionuclide exposure.
  • The study underscores the importance of considering age-specific risks in radiological assessments.