An adaptive microwave and spectroellipsometric technologys for diagnostics of nature and waste waters

Tuyet D. V., Quang T. L., Krapivin V.F., Mkrtchyan F.A., Klimov V.V., Soldatov V.Yu. An adaptive microwave and spectroellipsometric technologys for diagnostics of nature and waste waters. Journal of Science and Technology , 2019 , 1 (2). С. 1-12. ISSN 1859-4336

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Официальный URL: http://jst.bdu.edu.vn/jst/article/view/374

Аннотация

In this paper, we propose as a result of the connection systems for the collection of multi-channel remote information (microwave and optical) models of functioning of the investigated area the water environment and artificial intelligence to synthesize GIMS-technology that delivers forward-looking assessment of the functioning of the corresponding portion of the hydrosphere. Expected results from this work will allow us to evaluate the temperature, salinity (saltiness), the concentration of inorganic and organic substances, etc. ensuring the release of forward-looking estimates and abnormal areas. Also compact measuring - information multi-channel spectroellipsometric system for monitoring the quality of aquatic environment, that is based on the combined use of spectroellipsometry and training, classification, and identification algorithms is described. The spectroellipsometric system can be used in different fields where the water quality should be estimated or the presence of a particular set of chemical elements should be revealed. The system solves these problems by real-time monitoring of the aquatic environment. In the stationary version it allows the tracking of the dynamics of water quality in a stream, and when placed on a ship, it allows the measurement of water parameters along the route.Some experimental data and calculations are given. Assessment of the system precision is realized for water reservoirs located in South Vietnam.

Тип объекта: Статья
Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: Тует Д.В., Куанг Ч.Л., Крапивин В.Ф., Мкртчян Ф.А., Климов В.В., Солдатов В.Ю.
Подразделения (можно выбрать несколько, удерживая Ctrl): 209 лаб. вычислительная
URI: http://cplire.ru:8080/id/eprint/10040
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