Data collected fo
r 10 yea
rs following the Che
rnobyl accident in 1986 have p
rovided a unique oppo
rtunity to test the
reliability of compute
r models fo
r contamination of te
rrest
rial and aquatic envi
ronments. The Iput Rive
r scena
rio was used by the Dose Reconst
ruction Wo
rking G
roup of the BIOMASS (Biosphe
re Modelling and Assessment Methods) p
rog
ramme. The test a
rea was one of the most highly contaminated a
reas in Russia following the accident, with an ave
rage contamination density of 137Cs of 800,000 Bq m-2 and localized contamination up to 1,500,000 Bq m-2, and a va
riety of counte
rmeasu
res that we
re implemented in the test a
rea had to be conside
red in the modelling exe
rcise. Difficulties encounte
red du
ring the exe
rcise included ave
raging of data to account fo
r uneven contamination of the test a
rea, simulating the downwa
rd mig
ration and changes in bioavailability of 137Cs in soil, and modelling the effectiveness of counte
rmeasu
res. The accu
racy of model p
redictions is dependent at least in pa
rt on the expe
rience and judgment of the pa
rticipant in inte
rp
retation of input info
rmation, selection of pa
ramete
r values, and t
reatment of unce
rtainties.
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