Geoscience Reference
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considerable successes achieved in this area (Krapivin and Shutko 2012; Mkrtchyan
et al. 2013; Mkrtchyan and Krapivin 2014; Nitu et al. 2013a, b), notably:
A technology of combined use of spectro-ellipsometry and algorithms of
identi
cation and recognition that allow the set-up of a standard integral com-
plex consisting of instrumental, algorithmic, modular and software tools for the
collection and processing of data about the quality of aquatic environment with
forecasting and decision
—
making functions.
A compact measuring
information multichannel spectro-ellipsometric system
(device) for monitoring the quality of aquatic environment, that is based on the
combined use of spectro-ellipsometry and training, classi
—
-
cation algorithms. This spectro-ellipsometric system differs from the modern
foreign analogues by the use of a new and very promising method of ellipso-
metric measurements, an original element base of polarization optics and a
complex mathematical approach to estimate the quality of a water object sub-
jected to anthropogenic in
cation, and identifi-
uence. Unlike foreign analogues, the above-men-
tioned system has no rotating polarization elements. This allows one to increase
the signal-to-noise ratio and the long-term stability of measurements, to simplify
and reduce the price of multichannel spectro-ellipsometers. This system is
trainable to the recognition of the pollutants of aquatic environment.
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10.4.2 The Method Description
The detection and identi
cation of water quality, especially of drinking water, is
being addressed by many scientists (Sun et al. 2013). For example, the U.S.
National Water-Quality Assessment Program (NAWQA) provides an understand-
ing of water-quality conditions; whether conditions are getting better or worse over
time; and how natural features and human activities affect those conditions. In the
Earth
ned depending on many envi-
ronmental factors connected with the environmental management from pollution
sinks and sources. Martian conditions make additional unknown amendments in the
task of reliable evaluation of drinking water that can be extracted on the Mars.
Therefore, method of the drinking water assessment does not depend on the
environment. Such a method can be based on the spectral analysis of water mass in
the optical range (Krapivin et al. 2008b).
The recently developed technology of an adaptive identi
'
is conditions, water quality assessment is de
cation of the envi-
ronmental elements from measurements in the visible spectral region permits to
synthesize an expert system for an adaptive identi
cation of the liquid solutions
'
(ESAILS). The system
s structure includes a compact multi-channel spectro-el-
lipsometer (MCS), information interface with computer (IIC), computer software
(CS), and extending database (ED). The CS offers a number of algorithms to
process the data
fluxes from MCS and provides service functions for visualization
and control of the regime of measurements. The ED consists of the sets of standard
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