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<strong>atw</strong> Vol. 63 (<strong>2018</strong>) | Issue 1 ı January<br />
| | Fig. 1.<br />
Variation of the total dose values in the six analysed scenarios for the bookcase with respect to the reference scenario (i.e. scenario 1).<br />
which the wipe-off frequency is increased,<br />
a decrease of the total dose is<br />
observed for all nuclides. This can be<br />
attributed to a more rapid removal<br />
from the surface, which leads to a<br />
reduction of the time-integrated<br />
surface- and air-contamination levels,<br />
and thus to a decrease of all dose<br />
contributions. This decrease is of<br />
course larger when wipe-off is a more<br />
dominant mechanism for removal of<br />
surface activity. As a result, in the case<br />
of long-lived radionuclides, for which<br />
radioactive decay does not constitute<br />
a competing removal mechanism, the<br />
wipe-off process will have a larger<br />
relative contribution, and the final<br />
result will be more sensitive to a variation<br />
in this mechanism: such radionuclides<br />
will, therefore, show a larger<br />
decrease than shorter-lived nuclides<br />
as Co-56 and Co-58. In scenarios 4<br />
and 5, a decrease in the transfer<br />
efficiency has two opposite effects. On<br />
the one hand, activity residing on the<br />
object surface will be removed at a<br />
slower rate, leading to an increase of<br />
the time-integrated surface-contamination<br />
level (TISC). As a result, more<br />
activity is available for resuspension,<br />
thus the time-integrated air-contamination<br />
level (TIAC) also increases.<br />
Since the external-gamma-radiation<br />
dose is proportional to TISC and the<br />
committed effective dose from inhalation<br />
is proportional to TIAC, both dose<br />
contributions increase with respect to<br />
the reference scenario. On the other<br />
hand, the effective-dose contributions<br />
from indirect ingestion and skin contamination<br />
are both proportional to<br />
the product f oth TISC (f oth decreases,<br />
TISC increases). For the assumptions<br />
made here, the product f oth TISC<br />
decreases, thus the latter dose contributions<br />
decrease. Altogether, the<br />
total annual effective dose is the result<br />
of the balance between the opposite<br />
trends of these considered dose<br />
contributions. For some nuclides (e.g.<br />
Co-60, Mn-54, Pu-241, and Eu-152)<br />
the total dose increases as a result of<br />
the increase of the external-radiation<br />
exposure or inhalation contribution<br />
(or a combination of both). For other<br />
nuclides (e.g. Cs-137, Cs-134, Zn-65,<br />
Sr-90) the total dose follows the<br />
decreasing trend of its leading contribution,<br />
i.e. ingestion. In other cases<br />
(Co-56 and Co-57), the total dose<br />
marginally changes, due to the fact<br />
that the opposite effects approximately<br />
cancel each other out. Finally,<br />
in scenario 6, a decrease of the exposure<br />
duration leads to an (approximately)<br />
identical decrease in the total<br />
dose for all nuclides (the relative<br />
values in this scenario range between<br />
0.90 and 0.95).<br />
3.1 Benchmarking study<br />
The results obtained with SUDOQU<br />
were compared to the results obtained<br />
with the model described in RP101<br />
[2]. A graphical illustration of this<br />
comparison is provided in Figure 3.2.<br />
The RP101-model was chosen for the<br />
benchmarking study because one of<br />
the scenarios studied in RP101 considers<br />
a surface-contaminated tool<br />
cabinet, which is comparable to the<br />
bookcase considered in this paper.<br />
Moreover, like SUDOQU, the RP101-<br />
model assumes a non-constant surface<br />
activity. However, a fundamental<br />
difference between the two models<br />
is that the RP101-model only considers<br />
radioactive decay as a removal<br />
mechanism, whereas the SUDOQU<br />
model considers other processes<br />
affecting the evolution of the contamination<br />
level (Sect. 1). Another<br />
important difference concerns the<br />
removability of surface contamination:<br />
in SUDOQU, 100 % of the surface<br />
activity is assumed to be remov able,<br />
with a transfer efficiency of 20 %; in<br />
RP101, only 10 % of the total surface<br />
activity is removable, and the transfer<br />
efficiency is equal to 10 %. These<br />
differences lead to dissimilar (relative)<br />
contributions of the exposure<br />
pathways in the two models.<br />
In this study, parameter values<br />
defining the exposure geometry and<br />
duration in SUDOQU were harmonised<br />
with those in RP101. In this way,<br />
differences in dose results between<br />
the two models are only related to<br />
differences in model construction<br />
and the (remaining) underlying<br />
assumptions.<br />
As a first step of the benchmarking<br />
study, values of the remaining parameters<br />
were left unvaried in SUDOQU<br />
(i.e. values from Sect. 2.1), with the<br />
aim of comparing the two models<br />
based on their main, default assumptions<br />
and to investigate their impact<br />
on the results. The assumption in<br />
RP101 that only 10 % of the total<br />
surface activity is removable enhances<br />
the dose contribution from externalgamma-radiation<br />
exposure, as the<br />
remaining 90 % of the surface activity<br />
contributes exclusively to this pathway,<br />
while only being modified by<br />
radioactive decay. On the other hand,<br />
the contribution of the other exposure<br />
pathways, related to activity removal<br />
from the surface (resuspension and<br />
wipe-off), will be reduced in RP101<br />
with respect to those in SUDOQU, for<br />
which 100 % of the surface activity is<br />
removable and may thus contribute to<br />
these pathways (inhalation, ingestion<br />
and skin contamination). Again, the<br />
net outcome depends on the balance<br />
OPERATION AND NEW BUILD 31<br />
Operation and New Build<br />
Clearance of Surface-contaminated Objects from the Controlled Area of a Nuclear Facility: Application of the SUDOQU Methodology ı F. Russo, C. Mommaert and T. van Dillen