Amstrup, Bjarne

Astrup, Poul

Bartnicki, Jerzy

Bøvith, Thomas

Cordt Hoe, Steen

Dyve, Jan Erik

Feddersen, Henrik

Gill, Rashpal

Israelson, Carsten

Klein, Heiko

Lauritzen, Bent

Lindahl, Patric

Lindgren, Jonas

Pehrsson, Jan

Schönfeldt, Fredrik

Sigg, Robert

Simonsen, Magne

Smith Korsholm, Ulrik

Sørensen, Jens Havskov

Sørensen, Martin

Vejen, Flemming

In the early phase of a nuclear power plant accident with possible off-site consequences resulting from e.g. core melt and breach of containment, accurate prediction of the atmospheric dispersion of radionuclides is of utmost importance. However, two large sources of uncertainty exist: one associated with the meteorological data employed for atmospheric dispersion model prediction, and one related to the source term, i.e. the amount of radionuclides released and the temporal evolution of the release.In recent years, the effects of these inherent uncertainties on prediction of atmospheric dispersion of radionuclides released from nuclear accidents have been studied in a number of Nordic research projects funded by Nordic Nuclear Safety Research (NKS). Corresponding methods have been developed intended for operational use in emergency preparedness and response by national radiation protection authorities. The methodology is implemented in the ARGOS nuclear decision-support system (DSS) (Hoe et al., 1999; 2002; PDC-ARGOS) and is in operational use by the Danish Emergency Management Agency (DEMA) and the Danish Meteorological Institute (DMI) utilizing the DMI supercomputing facility.<br/

Online Research Database In Technology

Uncertainty of Atmospheric Dispersion Prediction

Uncertainty of Atmospheric Dispersion Prediction

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Online Research Database In Technology