Phuong Cao Van, Hieu Cao Viet, Quang Trinh Luong, Tuyet Dao Van, Man Nguyen Xuan, Mkrtchyan F.A., Klimov V.V., Soldatov V.Yu. AN ADAPTIVE SPECTROELLIPSOMETRIC AND SPECTROPHOTOMETRIC TECHNOLOGIES FOR MONITORING AQUATIC SYSTEMS IN VIETNAM. In: ДОКЛАДЫ РНТОРЭС им. А.С. Попова, Серия "Инженерная экология", Выпуск XI, 1-3 декабря, 2021г., Москва , Издательство "Манускрипт" по заказу РНТОРЭС им,А.С. Попова , С. 100-105.
Полный текст не доступен из этого репозитория. (Заказать копию)Аннотация
Unlike the microwave region of the electromagnetic spectrum, the visible range is used more efficiently in water body monitoring systems. This is due to the fact that the energy of solar radiation or artificial light fluxes interacts intensely with the aqueous medium. Different parts of the spectrum of solar radiation are absorbed by water in different ways. The minimum of light absorption is observed at a wavelength of 470 nm, in the blue part of the spectrum, whose energy is halved already at a depth of 47 m. Ellipsometry refers to optical technologies that use a change in the polarization of the light flux when it is reflected from a surface or refracted during a passage through a liquid. In this paper, an adaptive optical instrumental-information system for the diagnostics of water systems is provided. The system consists of a spectrophotometer and a spectroellipsometer, an information interface, a set of algorithms for identifying spectral images, a database of spectral standards, algorithms for solving inverse problems of spectrophotometry, spectroellipsometry, and an algorithm for learning the recognition of spectral images. The system can also be implemented as a portable device with the help of which the operator can perform real-time control of the quality of water resources
| Тип объекта: | Доклад на конференции или семинаре (Доклад) |
|---|---|
| Авторы на русском. ОБЯЗАТЕЛЬНО ДЛЯ АНГЛОЯЗЫЧНЫХ ПУБЛИКАЦИЙ!: | Фыонг Као Ван, Хиеу Као Виет, Куанг Чан Лый, Тует Дао ВАн, Ман Нгуен Хуан, 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/8393 |
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