1 Radioecology and Tracer Studies, Radiation Research Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark2 Radiation Research Division, Risø National Laboratory for Sustainable Energy, Technical University of Denmark3 Risø National Laboratory for Sustainable Energy, Technical University of Denmark4 Center for Nuclear Technologies, Technical University of Denmark
The ECOSYS foodchain model is built into the European standard deci-sion support systems ARGOS and RODOS, which are integrated in the preparedness for radiological events in the Nordic countries. However, a review has revealed that a number of parameters in ECOSYS do not re-flect the current state-of-the-art knowledge, and do not adequately repre-sent Nordic conditions. Improved and country/region specific data is re-quired for ECOSYS to give trustworthy results. It is the aim of the Pard-Nor activity to collect new data, and thus enable reliable use of ECOSYS for scenarios involving contamination of Nordic food production areas. In the reported work period of the PardNor activity, the parameters governing the contaminant deposition processes were revised, and an important point here is that contaminant particle sizes were taken into account, which has so far not been the case in ECOSYS. Both dry and wet deposi-tion processes were addressed. New datasets were derived for dry depo-sition, whereas for wet deposition (washout, rainout, snow scavenging), which can not be addressed directly in ECOSYS, but must be dealt with elsewhere in the ARGOS and RODOS decision support systems, a new methodology was suggested on the basis of available measurement data. Also parameters governing the natural weathering processes of contami-nants on crops and bare soil were revised, and it was demonstrated that precipitation has a strong influence on the weathering half-life, which should be included in ECOSYS. Both for deposition and weathering pa-rameters, a special effort was made to retrieve measurement data of Nor-dic origin. A series of calculations were made with the ECOSYS model to show the effect of introducing new and improved parameter values for dry deposition and weathering processes. The parameter revision was found to have great effect on the ECOSYS estimates of food contamination lev-els for a 'Chernobyl-like' NPP accident scenario, and the effect could well be even greater for other conceivable types of release scenarios. Finally, the dependence of measured global fallout contamination levels on pre-cipitation rates was highlighted in a separate section.
Radioecology and tracers; Radioøkologi og sporstoffer