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mechanism of this combination will be new technologies of data processing based
on the progress of the evolutionary informatics and global modeling. Here the point
is about a realization of an approach developed by some authors (Bukatova et al.
1991; Krapivin and Varotsos 2007, 2008; Nitu et al. 2013c; Elinson 1983) to
modeling the processes in conditions of inadequate a-priori information about their
parameters and the presence of principally unavoidable information gaps.
The ICGGM performs the following functions:
Data collection from national monitoring systems and international centers on
environmental studies.
Sorting, primary processing and accumulation of data on natural processes.
Formation of knowledge bases for the processes in the environment.
Simulation, mathematical and physical modelling of climatic, biospheric, cos-
mic, social and economic processes.
Prediction of the environmental state and formation of a constantly renewed
bank of scenarios of the anthropogenic activity.
Answering inquiries from national and international agencies on protection of
the environment.
Substantiation of recommendations for national and international centres of the
environmental monitoring.
Indicators characterizing the GIMS as the base subsystem of ICGGM are
grouped by thematic principles of organization of its structure. They are speci
ed in
the process of GIMS exploitation and cover the key characteristics of the global
topography, synoptic situation in the energy-active zones, content of dangerous
atmospheric pollutants in characteristic latitudinal belts, as well as announcements
about catastrophes.
A multitude of spatially irregular and fragmentary in time data of measurements
of geographic, geochemical, ecological, biogeocenotic and synoptic characteristics
serve as input parameters for the GIMS. Both in situ and remote sensing mea-
surements are made in different wavelength regions and with different accuracies.
Measurements agree with other GIMS units through algorithmic procedures of
primary data processing. The volume of these data will decrease in the process of
GIMS functioning. The GIMS input foresees also a possibility to receive signals
from scenarios of the anthropogenic development of situations under study.
The GIMS model is demonstrated as a conceptual scheme in Fig.
1.1
. Rela-
tionships between input and output parameters are taken into account through a
composition of information
fl
fluxes indicated here. The GIMS functions in the
adaptive regime, and the
final result of the system affects the input characteristics of
its measuring section. The mathematical aspects of GIMS are shown in Fig.
1.22
.
Here all the biogeochemical and biogeocoenotic processes are described by the
systems of balance equations. However, a considerable part of the different-to-
parameterize processes is described using the method of the evolutionary modelling
oriented towards a parameterization without formulas of very non-stationary pro-
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