Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing
The turbidity interference caused by suspended particles in water seriously affects the accuracy of ultraviolet-visible spectroscopy in detecting water quality chemical oxygen demand. Based on this, the application of ultraviolet-visible spectroscopy to detect water quality chemical oxygen demand us...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Journal of Spectroscopy |
| Online Access: | http://dx.doi.org/10.1155/2021/6650630 |
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| _version_ | 1849309409451180032 |
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| author | Fengxiao Li Bin Tang Mingfu Zhao Xinyu Hu Shenghui Shi Mi Zhou |
| author_facet | Fengxiao Li Bin Tang Mingfu Zhao Xinyu Hu Shenghui Shi Mi Zhou |
| author_sort | Fengxiao Li |
| collection | DOAJ |
| description | The turbidity interference caused by suspended particles in water seriously affects the accuracy of ultraviolet-visible spectroscopy in detecting water quality chemical oxygen demand. Based on this, the application of ultraviolet-visible spectroscopy to detect water quality chemical oxygen demand usually requires physical and mathematical methods to correct the spectral baseline interference caused by turbidity. Because of the slow response speed and unstable compensation effect of traditional correction methods, this paper proposes to use a compressed sensing algorithm to perform baseline correction and achieve good results. In the experiment, we selected formazin turbidity solution and sodium oxalate standard solution and carried out the research on the algorithm of turbidity correction for detecting chemical oxygen demand of water quality by ultraviolet-visible spectroscopy. The experiment obtains the absorption spectra of different concentrations of formazine turbidity solutions and the same concentration of sodium oxalate with different turbidity standard solutions at 210∼845 nm and analyzes the nonlinear effect of absorbance on turbidity. This article uses standard solution experiments to explore the compressed sensing theory for turbidity correction, and through the correction of the absorption spectrum of the actual water sample, it verifies the feasibility of the compression theory for turbidity correction. The method effectively corrects the baseline shift or drift of the water quality ultraviolet-visible absorption spectrum caused by suspended particles, while retaining the absorption characteristics of the ultraviolet spectrum, and it can effectively improve the accuracy and accuracy of the ultraviolet-visible spectroscopy water quality chemical oxygen demand detection. |
| format | Article |
| id | doaj-art-11f1920050a74e2f910b722b6550f7e9 |
| institution | Kabale University |
| issn | 2314-4920 2314-4939 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Spectroscopy |
| spelling | doaj-art-11f1920050a74e2f910b722b6550f7e92025-08-20T03:54:11ZengWileyJournal of Spectroscopy2314-49202314-49392021-01-01202110.1155/2021/66506306650630Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed SensingFengxiao Li0Bin Tang1Mingfu Zhao2Xinyu Hu3Shenghui Shi4Mi Zhou5Key Laboratory of Optoelectronic Technology and System, Ministry of Education, Chongqing University, Chongqing 400044, ChinaKey Laboratory of Optoelectronic Technology and System, Ministry of Education, Chongqing University, Chongqing 400044, ChinaIntelligent Optical Fiber Sensing Technology Chongqing University Engineering Research Center, Chongqing University of Technology, Chongqing 400054, ChinaIntelligent Optical Fiber Sensing Technology Chongqing University Engineering Research Center, Chongqing University of Technology, Chongqing 400054, ChinaIntelligent Optical Fiber Sensing Technology Chongqing University Engineering Research Center, Chongqing University of Technology, Chongqing 400054, ChinaIntelligent Optical Fiber Sensing Technology Chongqing University Engineering Research Center, Chongqing University of Technology, Chongqing 400054, ChinaThe turbidity interference caused by suspended particles in water seriously affects the accuracy of ultraviolet-visible spectroscopy in detecting water quality chemical oxygen demand. Based on this, the application of ultraviolet-visible spectroscopy to detect water quality chemical oxygen demand usually requires physical and mathematical methods to correct the spectral baseline interference caused by turbidity. Because of the slow response speed and unstable compensation effect of traditional correction methods, this paper proposes to use a compressed sensing algorithm to perform baseline correction and achieve good results. In the experiment, we selected formazin turbidity solution and sodium oxalate standard solution and carried out the research on the algorithm of turbidity correction for detecting chemical oxygen demand of water quality by ultraviolet-visible spectroscopy. The experiment obtains the absorption spectra of different concentrations of formazine turbidity solutions and the same concentration of sodium oxalate with different turbidity standard solutions at 210∼845 nm and analyzes the nonlinear effect of absorbance on turbidity. This article uses standard solution experiments to explore the compressed sensing theory for turbidity correction, and through the correction of the absorption spectrum of the actual water sample, it verifies the feasibility of the compression theory for turbidity correction. The method effectively corrects the baseline shift or drift of the water quality ultraviolet-visible absorption spectrum caused by suspended particles, while retaining the absorption characteristics of the ultraviolet spectrum, and it can effectively improve the accuracy and accuracy of the ultraviolet-visible spectroscopy water quality chemical oxygen demand detection.http://dx.doi.org/10.1155/2021/6650630 |
| spellingShingle | Fengxiao Li Bin Tang Mingfu Zhao Xinyu Hu Shenghui Shi Mi Zhou Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing Journal of Spectroscopy |
| title | Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing |
| title_full | Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing |
| title_fullStr | Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing |
| title_full_unstemmed | Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing |
| title_short | Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing |
| title_sort | research on correction method of water quality ultraviolet visible spectrum data based on compressed sensing |
| url | http://dx.doi.org/10.1155/2021/6650630 |
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