Geoscience Reference
In-Depth Information
subsystem is functioning. It is realized by means of the procedure that is depicted in
Fig.
1.3
. The area
Ξ
is covered by geographical network {
ˆ
i
,
ʻ
j
} with the dis-
cretization steps
by latitude and longitude, respectively. All processes
and elements located on pixel
ʔˆ
i
and
ʔʻ
ʔʻ
j
}is
homogeneous and is modeled by point models. In the case of water surface, the
water body of pixel
Ξ
ij
={(
ˆ
,
ʻ
):
ˆ
i
≤ ˆ ≤ ˆ
i
+
ʔˆ
i
;
ʻ
j
≤ ʻ ≤ ʻ
j
+
Ξ
ij
is divided by layers with thickness
ʔ
z
k
, namely 3D pixels
Ξ
ijk
={(
ˆ
,
ʻ
, z): (
ˆ
,
ʻ
)
∈Ξ
ij
, z
k
≤
z
≤
z
k
+
ʔ
z
k
} are de
ned. The atmosphere above the
pixel
h
s
.
The interactions in the studied environmental subsystem are considered as
interactions between its elements that are located within the pixels that are base
network for the numerical schemes of the simulation experiment.
The pixels
Ξ
ij
is divided by altitude in levels with thickness
ʔ
Ξ
ijk
are not uniform considering their parameters and their
functional characteristics. In other words, the model binding to database is realized
through an heterogeneity. Moreover, to avoid the redundancy in the model structure
it is a priori supposed that all elements and processes of territory
Ξ
ij
and
c
spatial discretization. The variability of the spatial discretizations within different
items of the model is neutralized in algorithmic level by coordinating the data
Ξ
have speci
ows
from the monitoring system. As a result, the model structure is irrespective from the
database structure and therefore it does not change when database structure is
changed. Similar independence is realized between the model items. It is achieved
by means of basic information pathway that controls the data exchange between
items through inputs and outputs only. In the case of disconnection of some items,
their outputs are replaced by the available database outputs. It is schematically
shown in the Fig.
1.4
.
The user forms a spatial image of the environmental subsystem and a man-
agement regime of the simulation experiment that is supported by the existing
database and the already structured knowledge base. As a result, the formalized
structure of the algorithmic and modelled procedures is generated, in such a manner
as to be oriented to the climatic zone and the socio-economic conditions of its
operation. This structure has features of intellectual information system that help to
realize the simulation experiments without additional processing of algorithms and
models. The user may choose algorithms and models and their modi
fl
cations from
the existing knowledge base of GIMS reaching the required level of adequacy in the
description of the studied environmental subsystem.
The basic principles of the GIMS technology are:
(1)
cation and coordination of the existing environmental
monitoring systems based on the unique organizational and science-methodic
base.
(2) Optimization of equipment and economic resources for synthesis of the
environmental monitoring systems, their functioning and modi
Integration, uni
cations.
(3) Coordination and compatibility of information
fluxes in the monitoring system
by using the unique coordinate-time system, common system for classi
fl
ca-
tion, coding, formats and data structure.
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