Mathematical model for assessment of nuclear power plant accident radiological influence

Nuklearne elektrane ispuštaju male količine radioaktivnosti i u normalnom pogonu, ali nekontrolirano curenje radioaktivnog materijala nakon nuklearne nesreće predstavlja veliku opasnost za ljude i okoliš. Na disperziju radioaktivnih čestica utječu brojni parametri: temperaturni profil, brzina vjetra, padaline, klasa stabilnosti atmosfere, topografija terena. Na temelju uočenih zakonitosti nastao je Gaussov model perjanice koji najprikladnije opisuje disperziju radionuklida. Taloženje čestica na površinu može biti suho, ili u slučaju padalina mokro. Izgled radioaktivnog oblaka i vrijednosti doza simuliraju programi za brzu procjenu radiološkog utjecaja nuklearne nesreće kao što je InterRAS. U ovom radu testiran je njegov ST-DOSE modul za ranu analizu posljedica nesreće te su uočene ovisnosti vrijednosti doza o pojedinim ulaznim parametrima.Nuclear power plants emit small amounts of radioactivity even in normal conditions, but uncontrolled leakage of radioactive material in case of nuclear accident poses a major threat for people and environment. Dispersion of radioactive particles is affected by many parameters, such as temperature profile, wind speed, precipitation, atmospheric stability class and topography. Observed physical laws were used in the development of Gaussian plume model as the most accurate representation of the dispersion of radionuclides. Deposition of particles on the surface can be dry or wet in case of rainfall. Shape of radioactive cloud and dose values can be simulated using computer programs for rapid assessment of the radiological impact of nuclear accident, such as InterRAS. Its ST-DOSE module for early analysis of the consequences of nuclear accident is tested in this paper and there are shown dependences of dose values on various input parameters