The Possibilities of Using LED Photometry and Ellipsometry Technology for Monitoring the Aquatic Anvironment

This paper develops new information-instrumental tools for operative diagnostics of the water objects including a detection of negative processes in their functioning. These tools are based on the big data approach and use such instrumental means as multi-channel optical sensors using of which provides the efficiency and reliability of the diagnostics results. The system consists of a LED spectrophotometer and a LED 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. Information-modeling instrumental technology developed in this paper has adaptation function to the spatial water objects and provides their water quality diagnostics on the base of episodic in-situ measurements.