Morphological Grayscale Reconstruction and ATLD for Recognition of Organic Pollutants in Drinking Water Based on Fluorescence Spectroscopy
| Autor: | Yitong Cao, Tingting Mao, Dibo Hou, Jie Yu, Pingjie Huang, Fei Shi, Guangxin Zhang |
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| Rok vydání: | 2019 |
| Předmět: |
lcsh:Hydraulic engineering
Materials science ATLD organic pollutant detection Geography Planning and Development Feature extraction 010501 environmental sciences Aquatic Science 01 natural sciences Biochemistry Grayscale Fluorescence spectroscopy Spectral line chemistry.chemical_compound lcsh:Water supply for domestic and industrial purposes lcsh:TC1-978 Rhodamine B Volume concentration 0105 earth and related environmental sciences Water Science and Technology Pollutant lcsh:TD201-500 010401 analytical chemistry 3D fluorescence spectroscopy Water based 0104 chemical sciences chemistry morphological grayscale reconstruction Biological system |
| Zdroj: | Water Volume 11 Issue 9 Water, Vol 11, Iss 9, p 1859 (2019) |
| ISSN: | 2073-4441 |
| DOI: | 10.3390/w11091859 |
| Popis: | This paper proposes a morphological grayscale reconstruction method combined with an alternating trilinear decomposition (ATLD) and threshold method based on 3D fluorescence spectroscopy to detect pollutants present at low concentrations in drinking water. First, the morphological grayscale reconstruction method was used to locate the fluorescence peaks of pollutants by comparing the original and reconstructed spectra obtained through expansion. The signal in the characteristic spectral region was then enhanced using an amplification factor. Feature extraction was subsequently performed by ATLD, and the threshold method was used to qualitatively distinguish water quality. By comparing the proposed method with the direct use of the ATLD and threshold method&mdash which is a commonly used feature-extraction method&mdash this study found that the application of the morphological grayscale reconstruction method can extrude characteristics of 3D fluorescence spectra. Given the typical spectral characteristics of phenol, salicylic acid, and rhodamine B, they were selected as experimental organic pollutants. Results illustrated that the morphological grayscale reconstruction with ATLD improved the spectral signal-to-noise ratio of pollutants and can effectively identify organic pollutants, especially those present at low concentrations. |
| Databáze: | OpenAIRE |
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