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SYSTEM OF WATER OBJECTS POLLUTION MONITORING

Igor Vasylkivskyi

First published: 2017-11-20https://doi.org/10.5593/sgem2017h/33/s12.044View metrics

Abstract

The paper is dedicated to the development of system of water objects pollution monitoring. An efficient study of the environment situation and giving appropriate solutions related to its improvement require adequate information, obtained from a large number of various parameters measurements. Conducting of analysis more than 3-4 times per day is more economically efficient if automatic systems for environment monitoring are used. Such system of water pollution monitoring proposed by authors consists of: computing centre that collects, process and analyzes the information received from the network of automatic radio beacons by the radio channel. Each radio beacon automatically determines the integral index of water pollution and transmits the results by the radio channel from the investigated place of water object to the computing centre. The automated monitoring system can be used in a wide spectral range for registration of aqueous media parameters in hydro-physical and environmental studies, environmental monitoring of surface water parameters, in particular for suspended substances content measurement. The system allows controlling light scattering characteristics for environmental monitoring of natural water-disperse media, measuring of brightness at different observation angles under deep-regime conditions, building spatial scattering indicatrix, which makes it possible to determine the ecological state of the water object and the nature of pollution processes.

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  • CrossRef - Citation Indexes: 1
  • Scopus - Citation Indexes: 7
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Publication details

Title
SYSTEM OF WATER OBJECTS POLLUTION MONITORING
Authors
Igor Vasylkivskyi
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 17th International Multidisciplinary Scientific GeoConference SGEM2017, Water Resources. Forest, Marine and Ocean Ecosystems
Publisher
STEF92 Technology
Year
2017
Pages
355-362
SWS Citekey
Vasylkivskyi201712355362
ISSN
1314-2704
ISBN
978-619-7408-27-0
Language
en
Publication type
Conference Paper
Keywords
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Number of times cited according to Crossref: 1

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