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<p>Airborne radioactivity by atmospheric dispersion (Gaussian plume) is generally favoured for its simplicity, computational efficiency, and extensive regulatory use. The objective of this research was to model the dispersion of airborne radioactivity from a Radiometallurgy Installation using a Gaussian Plume Model (data accounting for distance and meteorological conditions). This analysis evaluated the decay of radionuclide concentrations, the effect of wind speed, and estimated the effective dose to humans in residential areas. The method of this research is conducted by measuring airborne radioactivity, radionuclide analysis using Gamma Spectrometry. Atmosphere stability and wind speed are gained from Meteorology, Climatology, and Geophysical Agency (BMKG), whereas civil population is obtained from Central Agency of Statistics. The dispersion of radioactive pollutants was analyzed using the Gaussian plume model, with monitoring points located at distances of 500, 1000, 1500, and 2000&#xa0;m from the emission source from a 60&#xa0;m high stack with a diameter of 2&#xa0;m. Results show that surface radionuclide concentrations decrease with increasing distance from the emission source and that higher wind speeds reduce alpha and beta particle concentrations. The estimated lung cancer risk represents a theoretical, population-averaged value based on the Linear No-Threshold assumption. The results indicate that the calculated risk remains extremely low, on the order of 1.8 × 10⁻<sup>5</sup>% at a distance of 500&#xa0;m and 9.3 × 10⁻<sup>7</sup>% at a distance of 2000&#xa0;m.</p>

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Plume modelling and estimation dose of airborne radioactivity at nuclear facility

  • 期刊论文

  • 发表日期：

    2026年4月4日

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  • Rizky Ilham Fadzillah,
  • Eka Karunia Putri,
  • Gadis Ananda Dinanti Handoko,
  • Hilya Milatul Rosyidah,
  • Suryo Wiroyudho Wibowo,
  • Nanda Fista Elasari,
  • Alvino Andreas Lumbantobing,
  • Razif Zarrinuha,
  • Antonnio Gogo,
  • Sugeng Rianto,
  • Septian Hardi Prasetya,
  • Maharani Kusumaningrum,
  • Yogi Priasetyono,
  • Dhita Ariyanti,
  • Agus Sunarto,
  • R. Mohammad Subekti,
  • Nofriady Aziz

摘要

Airborne radioactivity by atmospheric dispersion (Gaussian plume) is generally favoured for its simplicity, computational efficiency, and extensive regulatory use. The objective of this research was to model the dispersion of airborne radioactivity from a Radiometallurgy Installation using a Gaussian Plume Model (data accounting for distance and meteorological conditions). This analysis evaluated the decay of radionuclide concentrations, the effect of wind speed, and estimated the effective dose to humans in residential areas. The method of this research is conducted by measuring airborne radioactivity, radionuclide analysis using Gamma Spectrometry. Atmosphere stability and wind speed are gained from Meteorology, Climatology, and Geophysical Agency (BMKG), whereas civil population is obtained from Central Agency of Statistics. The dispersion of radioactive pollutants was analyzed using the Gaussian plume model, with monitoring points located at distances of 500, 1000, 1500, and 2000 m from the emission source from a 60 m high stack with a diameter of 2 m. Results show that surface radionuclide concentrations decrease with increasing distance from the emission source and that higher wind speeds reduce alpha and beta particle concentrations. The estimated lung cancer risk represents a theoretical, population-averaged value based on the Linear No-Threshold assumption. The results indicate that the calculated risk remains extremely low, on the order of 1.8 × 10⁻5% at a distance of 500 m and 9.3 × 10⁻7% at a distance of 2000 m.