Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm
Joint Authors
Hou, Dibo
Huang, Pingjie
Zhang, Guangxin
Yu, Jie
Zhang, Xiaoyan
Chen, Fang
Mao, Tingting
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-30
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Yu, Jie& Zhang, Xiaoyan& Hou, Dibo& Chen, Fang& Mao, Tingting& Huang, Pingjie…[et al.]. 2017. Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm. Journal of Spectroscopy،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1187776
Modern Language Association (MLA)
Yu, Jie…[et al.]. Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm. Journal of Spectroscopy No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1187776
American Medical Association (AMA)
Yu, Jie& Zhang, Xiaoyan& Hou, Dibo& Chen, Fang& Mao, Tingting& Huang, Pingjie…[et al.]. Detection of Water Contamination Events Using Fluorescence Spectroscopy and Alternating Trilinear Decomposition Algorithm. Journal of Spectroscopy. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1187776
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187776