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Full text: Radioactivity in the Baltic Sea, 1999 - 2006

41 
4 Modelling and Dose Calculations 
Günter Kanisch 1 and Sven Nielsen 2 
1) vTI, Johann Heinrich von Thünen-Institute, Germany 
2) Rise DTU, National Laboratory for Sustainable Energy, Denmark 
4.1 Model work 
Environmental modelling of radioactive 
substances in the Baltic Sea is used by 
the MORS Group to support and interpret 
environmental data, and as a tool for 
radiological assessments. 
The Group has used a model (HELCOM 
to simulate levels of 90 Srand 137 Cs in Baltic 
seawater based on known inputs from the 
dominating sources, i.e. atmospheric fallout 
from nuclear weapons testing, atmospheric 
fallout from the Chernobyl accident, and 
discharges into the sea from the European 
reprocessing facilities at Sellafield and La 
Hague. The model also includes the runoff 
Environmental 
compartment 
137 Cs 
“Sr 
P/O geometric SD of No. of 
ratio P/O values 
P/O . . „ . No. of 
.. geometric SD of P/O 
ratio values 
Seawater 
1.05 
1.16 
396 
0.99 
1.10 
367 
Fish 
1.03 
1.29 
362 
0.97 
1.30 
178 
Fucus vesiculosus 
1.01 
1.23 
150 
0.98 
1.27 
39 
2003) that was implemented in software 
which does not run on the latest computers. 
Work is presently in progress to implement 
the model in Windows compatible software. 
The model uses first-order kinetics to 
simulate the transfer of radioactivity between 
compartments comprising water regions and 
underlying sediments. 
The model has been developed to assess 
the radiological consequences of releases 
of radioactive material into the marine 
environment, covering European coastal waters 
including the Baltic Sea. The model simulates 
the dispersion of radioactive substances in 
the water due to advective transport, including 
mixing from wind and tidal forces. The 
association of radionuclides with suspended 
sediment material is taken into consideration, 
in addition to any subsequent transfer into 
sediments through particle scavenging. Starting 
with specified inputs of radioactivity into the 
marine environment, the model calculates time- 
dependent concentrations in seawater and 
sediments. This data may be used to calculate 
doses to man from a range of exposure 
pathways. The locations of the water boxes 
defined for these studies are shown in Figure 
1 . 
The new implementation of the model 
(Kanisch et al. 2000) has made it possible 
of radioactivity from land to sea via rivers. 
Figures 2a and 2b show comparisons 
between calculated (red lines and squares) 
and observed (black circles) concentrations 
of 137 Cs in seawater in various sub-regions. 
The observed concentrations are the 
Range of 
Effective half-life (years) 
years 
137 Cs 
90 Sr 
1988- 1996 
9.0 
15.2 
1999-2006 
12.8 
14.5 
1993-2006 
11.5 
14.6 
annual average values of data collected by 
MORS-PRO. The vertical bars represent the 
variability of the observed concentrations 
within a single year. 
The reliability of the model calculations is 
illustrated in Figures 3a and 3b showing 
scatter plots of observed and calculated 
seawater concentrations of 90 Srand 137 Cs 
across all regions of the Baltic Sea for 
the years 1965-2006. The data points are 
distributed both above and below the line of 
the 1:1 relationship thus indicating the model’s 
overall unbiased quality. Table 1 shows 
the corresponding results of the statistical 
evaluation of the ratios predicted/observed; 
with the results for fish and Fucus vesiculosus 
included. Table 2 shows the rates of reduction 
Table 1: 
Summary of comparisons 
between model predictions 
(P) and observations (O) in 
environmental compartments 
of the Baltic Sea. Geometric 
means and geometric 
standard deviations were 
calculated for the P/O 
ratios. The concentration 
factors considered for fish, 
differentiated by marine and 
freshwater fish, round fish and 
flat fish, fillets and edible parts, 
as well as for the bladder wrack 
Fucus vesiculosus, were taken 
from Chapter 3. 
Table 2: 
Rates of reduction of “Srand 
,37 Cs in the Baltic Sea, in terms 
of effective half-lives derived 
from calculated total inventories 
during different time periods. 
Baltic Sea Environment Proceedings No. 117
	        
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