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are indicative of the increasing devastation and variety of disasters. This chapter
draw attention to the fact that risk and disasters threaten development and security.
The scale of damage and aftermath reduction of stressful natural processes is
possible with the use of the GIMS technology.
Operational diagnostics of the environment is accomplished using the model that
is synthesized for the concrete monitoring object. These models are stored in the
GIMS knowledge base and than are selected automatically during the GIMS
adaptation process according to the scheme represented in Fig. 9.33 . This model
describes the interactions and functioning of different spatial-temporal levels of
whole of environmental processes that affect the monitoring object functioning.
Model covers natural and anthropogenic processes that are speci
c for given ter-
ritory during concrete time interval and the GIMS supports the model information
inputs.
As it was mentioned above and was expressed by many experts (Krapivin and
Shutko 2012; Shutko and Krapivin 2011; Kondratyev et al. 2004a; Hushon 1990)
the synthesis of the model is complex problem to achieve the expected results. The
GIMS-technology helps to solve this problem due to the intellectual data processing
and the sorting through of models and algorithms. Certainly, conceptual description
of the solved task is connected with
field that is given in the GIMS
knowledge basis depending on the series of meanings. The environmental sub-
system complexity and partial parametrical uncertainty are overcome by the GIMS-
technology due to the evolutionary modeling technology (Bukatova et al. 1991).
fixed semantic
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