Information-Modeling Technology for the Environmental Monitoring - New Ecoinformatics Tools in Environmental Science: Applications and Decision-making - page 11

Fig. 1.4 Scheme for simulation experiment management within the dialog regime with structural
formation of models and algorithms. Notations ʔˆ i and ʔʻ j are dimensions of geographical grid by
latitude and longitude on ith level, respectively; A i k are the semantic identi ers supporting the
formation of spatial and subject image of kth modelled environment on ith level of spatial
discretization

(4) Focus of the admittance to information through international informational
networks with maximum extension of user service.

(5) Independence of the environmental monitoring by the disparity of state bor-

ders and ecosystem boundaries.

Realization of these principles provides simulation modeling experiments of
different spatial scales, i.e., from local to global. In this case, the functioning of
GIMS is presented in Fig. 1.5 . This scheme depicts the support of the simulation
experiment in its adaptive regime, when it is regularly performing the model
modernization and the monitoring system structure management. Thus, the GIMS
technology optimizes the information fluxes to achieve effective result from all

possible sensors. The latter is schematically explained in Fig. 1.6 .
Thus, the GIMS technology considers any environmental subsystem as an ele-
ment of nature interacting through biospheric, climatic, and socio-economic pro-
cesses. A model is then created describing these interactions and the functioning of
various levels of the space-time hierarchy of the whole combination of processes in
the subsystem. The model encompasses characteristic features for typical elements
of the natural and anthropogenic processes and its development is based on the
existing information base. The model structure is directed towards the adaptive
regime of its use (Fig. 1.7 ).

fl