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MANAGEMENT, MODELING, AUTOMATION
Development of integrated monitoring network for measuring salinity of sea water
S. A. Askerova Institute of Ecology
of the National Aerospace Agency
Abstract:
Monitoring of sea water condition is one of major requirements for carrying out
the reliable ecological control of water environment. Monitoring networks contain such elements as sea buoys, beacons, etc. and are designated for measuringvarious hydrophysical parameters, including salinity of sea water. Development of specialized network and a separate buoy system for measuring thesea water salinity at different depths makes it possible to determine major regularities of processes of pollution and self-recovery of the sea waters. The article describes
the scientific and methodological basics for development of this specialized network and questions of its optimal construction. It is well-known that at a depth of 30-45 m of the Caspian Sea salinity decreases and then at a depth of 45-60 m salinity is fully recovered. The mentioned changes
of salinity at the relatively upper layer of sea waters is of special interest for studying the effect
of ocean-going processes on the climate forming in the Caspian area. In terms of informativeness of measurements of surface waters salinity, the most informative is a layer ata 30-60 m depth, where inversion and recovery of salinity take place. It is shown that in most informative subrange of measurements, i. e. at a depth of 30-60 m optimization of regime of measurements complex should be carried out in order to increase the effectiveness of held researches. It is shown that
at a depth of 35-50 m choice of the optimum regime of measurements makes it possible to obtain the maximum amount of information.
Keywords:
salinity, monitoring network, optimization, measurement, informativeness.
Received: 14.12.2017
Citation:
S. A. Askerova, “Development of integrated monitoring network for measuring salinity of sea water”, Vestn. Astrakhan State Technical Univ. Ser. Management, Computer Sciences and Informatics, 2018, no. 1, 18–26
Linking options:
https://www.mathnet.ru/eng/vagtu514 https://www.mathnet.ru/eng/vagtu/y2018/i1/p18
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Abstract page: | 138 | Full-text PDF : | 63 | References: | 29 |
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