Abstract
The method based on conventional index and UV-vision has been widely applied in the field of water quality abnormality detection. This paper presents a qualitative analysis approach to detect the water contamination events with unknown pollutants. Fluorescence spectra were used as water quality monitoring tools, and the detection method of unknown contaminants in water based on alternating trilinear decomposition (ATLD) is proposed to analyze the excitation and emission spectra of the samples. The Delaunay triangulation interpolation method was used to make the pretreatment of three-dimensional fluorescence spectra data, in order to estimate the effect of Rayleigh and Raman scattering; ATLD model was applied to establish the model of normal water sample, and the residual matrix was obtained by subtracting the measured matrix from the model matrix; the residual sum of squares obtained from the residual matrix and threshold was used to make qualitative discrimination of test samples and distinguish drinking water samples and organic pollutant samples. The results of the study indicate that ATLD modeling with three-dimensional fluorescence spectra can provide a tool for detecting unknown organic pollutants in water qualitatively. The method based on fluorescence spectra can be complementary to the method based on conventional index and UV-vision.
Highlights
Water pollution problem is attracting more and more attention, and monitoring of water quality is important in order to avoid health risk to residents
This paper studied a problem of unknown contaminant qualitative detection in water but not a qualitative problem of known contaminant detection
alternating trilinear decomposition (ATLD) algorithm was used to establish the model of normal water sample, and the residual matrix was obtained through the difference of the model matrix and the measured matrix
Summary
Water pollution problem is attracting more and more attention, and monitoring of water quality is important in order to avoid health risk to residents. Water pollution abnormality detection mainly depends on conventional water quality parameters. Water anomaly detection methods are mainly based on traditional indexes of water quality. The process of obtaining these water quality parameters has various problems, such as long analysis time, not sensitive enough, requiring reagents, and producing waste [2]. It cannot satisfy the online highfrequency water quality anomaly detection. Langergraber et al [5, 6] continuously monitored the water quality through ultraviolet spectroscopy and judged the anomaly according to the three-dimensional spectrum and the historical spectrum of ultraviolet spectrum and time axis to obtain the good result. Detection limit of some organic matter based on UV-vision spectra is still not low enough to achieve the standard
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