| Summary: | 碩士 === 國立中央大學 === 環境工程研究所在職專班 === 103 === Optical detection analysis technique is used to establish the basic and efficient spectrum database, based on which qualitative and quantitative algorithm for water quality and measurement technique for SS and COD concentration virtual monitoring are developed to achieve instant monitoring of water quality, and will be helpful for us to establish real-time water quality monitoring system. This study mainly aims to explore sewage treatment industry, dyeing-finishing industry and printed circuit board industry, from which waste water were sampled to remove the relevant interferences through water quality analysis contents and comparative optical testing method. Apply absorption spectrum information to full-scale water quality testing for research purpose in order to study the problems that may arise in practical application of optical testing method and put forward amendments and proposals. 1.0 μm～1.5 μm filter paper used for SS filtration aperture that was announced by Environmental Analysis Laboratory had poor effect on the removal of interferences. Therefore, this study based on the measurement in different apertures obtained the best relationship between traditional analysis and multiple regression by using 0.3 μm～0.6 μm filtration aperture to remove interferences caused by SS. The result showed that mixed water samples in effluent water quality of sewage treatment industry could be come from various industries, causing high complicated interferences. After only removal of SS interferences, the algorithm used for SS and COD checking computation similar to traditional analysis is feasible. The factor of dye in dyeing-finishing industry may cause the interferences of different chromaticity for each batch of discharge; UV-light and visible band could reduce interferences resulted from SS through filtration. Interference factor on the spectrum in printed circuit board industry is less than in sewage treatment plant and dyeing-finishing plant, and thus the best algorithm for significant wave crest in full-wave band can be obtained, enabling full-scale waste water treatment to use algorithm data as reference basis to improve processing results for each unit operation.
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