研究目的
Developing new information-instrumental tools for operative diagnostics of water objects, including detection of negative processes in their functioning.
研究成果
The technology of combined use of spectrophotometry, spectroellipsometry, and algorithms of detection and classification allows the creation of an original system for the collection and processing of data on the aquatic environment with forecasting and decision-making functions.
研究不足
The risk of high error increases with the concentration of chemical elements, necessitating an extension of the database of spectral etalons.
1：Experimental Design and Method Selection:
The study employs a combination of spectrophotometry and spectroellipsometry methods with algorithms for training, classification, and identification.
2：Sample Selection and Data Sources:
Water solutions of various chemicals and in-situ measurements in South Vietnam.
3：List of Experimental Equipment and Materials:
LED spectrophotometer, LED spectroellipsometer, information interface, computer software, and extending database.
4：Experimental Procedures and Operational Workflow:
The system analyzes changes in light flux, digitizes them, and processes the data to identify spectral images.
5：Data Analysis Methods:
Cluster analysis, discrepancy between spectra, discrepancy between etalon vectors, and inverse task solution.
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