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Fig. 6.11 Dependence of
the concentrations of heavy metals (
w
+ e) and radionuclides
=
137
Cs +
60
Co) at different geographical points as a function of the
(
flow (F) of the Ob and
Yenisey rivers to the Kara Sea. The interval [F
1
, F
2
] between the dashed lines corresponds to the
range of variations of F in the real world. Curves 1 and 2 show concentrations of the heavy metals
and radionuclides, respectively, at the point with
ʵ
fl
E in the northwestern part of the
Kara Sea. Curves 3 and 4 show the concentrations of heavy metals and radionuclides, respectively,
at the point with
u
,
ʻ
=75
°
N, 65
°
u
,
ʻ
=72
°
N, 150
°
W above the Alaskan North Coast
flow of pollutants between the
different water areas of the Arctic Basin. For example, the transport of heavy metals
and oil hydrocarbons from the Barents Sea to the Kara Sea is 631 and
473 kg year
−
1
, respectively. The total
The SSMAE allows for the estimation of the
fl
flow of pollutants from the Russian coast line
to Alaska varies in the framework of Table
6.8
between 0.3 and 0.9 % of the initial
fl
fl
flow. As is evident from curves 3 and 4 of Fig.
6.11
, the
fl
flow of the Ob and Yenisey
rivers have practically no in
uence on the pollution level of the arctic waters near
Alaska. This effect does not change over time.
fl
6.4.7 Summary and Conclusions
We will discuss here three aspects of the SSMAE which are very important. The
first concerns the incorporation of ecological, hydrophysical, climatic and bio-
geochemical relationships in a model simulating the dynamics of the Arctic Basin
pollution. The main problem here is how to parameterize these relationships to
achieve the satisfactory precision. The second, concerns the key problem of data-
base conformity to the model. In this case, the task is in the adaptation of the
spatial-time scale to the database. The third, concerns the user
'
s ability to run the
SSMAE in the scenarios space.
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